Miracle-dz/UniFAR-FTUs huggingface dataset:
How Entrepreneurial Orientation Affects New Ventures Performance in the Era of Big Data

In the era of innovative big data, empirical data analysis can bring certain inspiration to firms. Based on the upper echelon theory and resource-based view, with the first-hand data of 220 entrepreneurship enterprises in Shanghai, the relationship among entrepreneurial orientation, the ability of external resource acquisition (Operational resource and Intellectual resource) and performance of new enterprises was deeply explored. Results show that the entrepreneurial orientation, external operational resource acquisition are significantly related to the start-up performance respectively. Besides, external operational resource acquisition has a partial intermediary effect between entrepreneurial orientation and firm performance while external intellectual resource does not have the same effect. However, external intellectual resource acquisition positively moderates the relationship between operational resources acquisition and start-up performance as well as the relationship between entrepreneurial orientation and start-up performance.
A comparative between IEEE and EN in the transformer derating when supplying nonsinusoidal load current. A practical case

Nowadays, power quality is a challenge for the distribution companies since the new energy policies are directed to a distributed generation system with power electronic based technologies. The reduction of distribution transformers capability when supplying nonsinusoidal load currents has a major impact within capacity reduction in distribution networks produced by technical losses. IEEE Std C57.110-2018, EN- 50464-3 and EN-50541-2 define procedures to derate transformers when supplying nonsinusoidal load currents. The aim of this paper is to compare these procedures through a real case distribution transformer that suffers problems due to high levels of current distortion.
The Scheduling Technology Development of Multi-AGV System in AI Era

As an important intelligent transportation equipment of logistics, Multi-AGV scheduling is a key problem that restricts the operation efficiency and large-scale expansion of AGV system. This paper analyzes and elaborates three key technologies of AGV scheduling, namely Path Planning, Task Scheduling and Traffic Control Management. The method of Time Window modeling based on physical entity is superior to that based on particle motion. Finally, the trend of AGV scheduling intelligentization is illustrated by combining with the current advanced technology.
Biological Investigation of the Stimulated Flapping Motions of the Moth, Manduca sexta

An investigation was conducted assessing the possibility and feasibility of reproducing the biological flapping motion of the wings of the moth, Manduca sexta (hawkmoth) by artificially stimulating the flight muscles for Micro Air Vehicle research. Electromyographical signals were collected using bipolar intramuscular fine wire electrodes inserted into the primary flight muscles, the dorsal longitudinal and dorsal ventral muscles, of the adult M.sexta. These signals were recorded and associated with wing movement using high speed video. The signals were reapplied into the corresponding muscle groups with the intention of reproducing similar flapping motion. A series of impulse signals were also directed into the primary flight muscles as a means of observing muscle response through measured forewing angles. This study pioneered electromyographic research on M.sexta at the Air Force Institute of Technology with tests conducted with pupal implants and fine wire electrodes. Through this process, the research showed the deformational structural changes that take place when a wing is removed from an insect and proved that muscular stimulation is a viable means of measuring wing movement while still attached to the moth. This study also assisted in developing an understanding related to the role that a thorax-like fuselage could play in future micro aircraft designs. This study has shown that partial neuromuscular control of the primary flight muscles a Manduca sexta is possible with electrical stimulants which could be used to directly control insect flight.
Relapse Risk Prediction for Children with Henoch-Schönlein Purpura Based on GA-SVM

The relapse risk prediction for children with Henoch-Schönlein purpura can help pediatricians make an accurate prognosis and offer personalized and appropriate follow-up nursing and relapse control to patients. In this study, we propose a Genetic algorithmSupport vector machine (GA-SVM) learning method combining the support vector machine with the genetic algorithm for parameter optimization to capture the nonlinear mapping from a panel of biomarkers to the relapse risk of HSP children. The GA-SVM prediction model is created by using the dataset of 40 samples in clinical treatment and observation of patients. The inputs of the model consist of 19 biomarkers including gender, age, immunoglobulin M, immunoglobulin G, immunoglobulin A, prothrombin time, etc. The outputs consist of 1 and -1, where 1 indicates high relapse risk and -1 indicates low relapse risk. For comparison, the GS-SVM prediction model based on parameter optimization of grid search is also created. The experimental results show that the GA-SVM prediction model has a high prediction accuracy of 90% and is strong in generalization ability. The GA-SVM model for predicting the relapse risk of HSP children is a promising decision support tool of clinical prognosis, which provides pediatricians with valuable assistance to offer rehabilitation treatment to patients.
Mathematics, numeracy and literacy: A combination for success

Mathematics, numeracy and literacy play an important role in children's lives. Mathematics and numeracy skills can assist with the development of logical thinking skills, problem solving skills and the development of important skills and knowledge to understand the world around us (Yore, Pimm, and Tuan, 2009). Literacy skills include the ability to identify, create, communicate, compute, and use printed, written and visual materials (UNESCO, 2004). By using mathematical experiences to enhance literacy skills, it can help to provide foundations for success.
Comparative analysis of sequencing technologies platforms for single-cell transcriptomics

All single-cell RNA-seq protocols and technologies require library preparation prior to sequencing on a platform such as Illumina. Here, we present the first report to utilize the BGISEQ-500 platform for scRNA-seq, and compare the sensitivity and accuracy to Illumina sequencing. We generate a scRNA-seq resource of 468 unique single-cells and 1,297 matched single cDNA samples, performing SMARTer and Smart-seq2 protocols on mESCs and K562 cells with RNA spike-ins. We sequence these libraries on both BGISEQ-500 and Illumina HiSeq platforms using single- and paired-end reads. The two platforms have comparable sensitivity and accuracy in terms of quantification of gene expression, and low technical variability. Our study provides a standardised scRNA-seq resource to benchmark new scRNA-seq library preparation protocols and sequencing platforms.
Research on RSA Padding Identification Method in IoT Firmwares

Cryptography is a fundamental mechanism for security, various cryptographic algorithms are widely used in IoT firmwares, and identifying cryptographic algorithms is paramount for IoT security. RSA algorithm is the most popular asymmetric key cryptographic algorithm in use. Insecure RSA padding mode may result in padding oracle attack, causing certificate leakage, random number prediction, and plaintext recovery. In this paper, we show how to extract binaries from IoT firmwares, then describe 7 padding modes in RSA algorithm, and identify RSA padding in two methods -- function-name matching and IR expression constant analysis. We use Angr VEX model to translate specific code block into intermediate representation, and analyze their constant value to track RSA parameter int padding. We collect and filter 159 firmwares from 6 different vendors, analyze 7 kinds of RSA paddings using function-name matching, and 4 kinds of RSA paddings in RSA functions which contain parameter int padding using IR expression constant analysis. Then we identify 335 RSA paddings, and find out that flawed padding is still broadly in use in IoT environment.
The Potential of Self-amplifying RNA Vaccines for Infectious Diseases and COVID-19

In addition to conventional vaccine development for infectious diseases, nucleic acid-based vaccine approaches have recently been presented as serious alternatives to previously used strategies based on live attenuated virus particles and subunit vaccines Particularly, RNA-based vaccines have proven attractive In this context, immunization with messenger RNA (mRNA) has provided strong immune responses and protection against challenges with lethal doses of pathogenic viruses in vaccinated animals Alternatively, the efficient RNA replication mechanism provided by self-amplifying RNA (saRNA) viruses has been utilized Enhanced immune responses with reduced doses required for immunization has been obtained in comparison to conventional mRNA administration The rapid spread and destruction caused by the COVID-19 pandemic has substantially accelerated the demand for the development of robust and efficient vaccines against SARS-CoV-2 Both mRNA- and saRNA-based COVID-19 vaccine candidates are currently in human clinical trials
Identification of genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population

The study was conducted to identify the genetic marker for prolactin gene related to milk yield in pedigreed Sahiwal population. PCR-RFLP was carried out by using Rsa1 restriction endonuclease and revealed three genotypes GG, GA and AA in Sahiwal population. The frequency of G and A allele of Prolactin gene (exon 3) was estimated as 0.575 and 0.425, whereas the frequencies of GG, GA and AA genotypes for Prolactin gene (exon 3) were estimated as 0.45, 0.25 and 0.30, respectively. Regression analysis inferred that, SNP (G55A) of prolactin gene (exon 3) contributed to an increase in the average test day milk yield by 321.5g which was 3.92% of the average test day milk yield. Forty Sahiwal animals (20 families) under Daughter- Dam Design were screened and it was observed that one SNP (G55A) was found in all the nine families (45%) having heterozygous (GA) genotype. Thus, it could be considered as a potential genetic marker for high milk production in Sahiwal population.
Monitoring populations of the Freshwater Pearl Mussel, Margaritifera margaritifera, stage 3 and stage 4 survey

Since 2004, NPWS has been conducting monitoring, or surveillance, of the Freshwater Pearl Mussel under Article 11 of the Habitats Directive. This Irish Wildlife Manual documents the monitoring methods used. These have been developed for Ireland by Freshwater Pearl Mussel experts. In 2009, Regulations (S.I. 296 of 2009) were made to set environmental quality objectives for listed Freshwater Pearl Mussel SAC populations. The schedules to the regulations, and the site-specific conservation objectives, as well as the NSAI standard, form the basis for assessment of conservation status/condition using monitoring data. This manual provides methods for repeat monitoring of numbers of adult mussels at varying densities. It also describes the measurement of mussels, with searches for juveniles, used to produce demographic profiles that are essential to assessing the viability of a population. Searching for juveniles carries very high risk of injury or death to mussels, and damage or destruction of their habitat and, therefore, requires specific expertise.
Enhancing Operational Performance through Supply Chain Management Practices: Evidence from Firms in the Petroleum Downstream

Aims: Whilst adoption of supply chain management (SCM) practices has grown in recent decades, research into supply chain management practices of firms in the petroleum downstream remains very limited. This study examines the effect of SCM practices on operational performance for firms in the petroleum downstream. Study Design: Survey. Place and Duration of Study: The study was conducted in Ghana from January 2019 to February 2020. Methodology: The study developed and tested a research model which proposed that Strategic Supplier Partnership, Customer Relationship, Supply Chain Information Management and Postponement significantly influenced Operational Performance of firms in the petroleum downstream. Data for the study was obtained from a survey of 150 firms operating in Ghana’s petroleum downstream. Results: The findings of the study revealed that Strategic Supplier Partnership and Supply Chain Information Management had positive and significant impacts on Operational Performance, but Customer Relationship and Postponement did not. Conclusion: Firms operating in the petroleum downstream should focus more on developing and managing strategic partnerships with their suppliers and managing their supply chain information.
Starvation responses of invasive and non-invasive Eurytemora affinis populations

Within the past century ~ the copepod Eurytemora affinis have invaded freshwater from saline sources throughout the Northern Hemisphere. Two genetically divergent clades (Atlantic and North Atlantic) of E. offinis coexist in the St, Lawrence estuary, but only the Atlantic clade was able to invade into freshwater ecosystem. A common-garden reaction norm experiment was performed on populations from these two clades to determine their differences in survival and development time across three food levels (high, medium and low) in fresh water. The populations were fed with the freshwater alga Rhodomonas minuta. The developmental progress and survival of the populations were monitored throughout the experiment. The results indicated that the population from the invasive Atlantic clade is more starvation resistant and has faster development time to adulthood. The differences between the populations might be due to their different osmoregulatory mechanisms and energy usages. These different physiological responses to starvation are likely to have functional consequences for the populations' ability to expand their ranges into novel environments.
The impact of packaging transparency and product texture on perceived healthiness and product trust

Consumers witnessed several food safety incidents over the past decades, which results in a growing demand to see the product before making a decision. The study uses a 3 (Opaque, semi transparent, and transparent packaging) x 2 (smooth vs. rough texture) experimental design on an apple sauce. The results show that there is a significant impact of transparent packaging on perceived healthiness, brand trust, the attitude toward the product and purchase intent (the impact on the pleasure is not significant). The impact of transparent packaging on purchase intent is mediated by the perceived healthiness, perceived quality and product trust. Moreover, there is a significant impact of the visual product texture on product trust. In fact, the rougher the texture of the product is, the more consumers trust it. Furthermore, when the product has completely transparent packaging, consumers trust more the product with the rough visual texture.
Numerical study of magnetohydrodynamics Jeffery–Hamel flow with cu-water nanofluid between two rectangular smooth walls with transverse magnetic field

In this paper, the MHD Jeffery–Hamel flow with cu-water nanofluid between two smooth rectangular walls with the transverse magnetic field is studied. Differential transform method (DTM) is used to obtain the velocity profile of Jeffery–Hamel flow in both convergent and divergent channels for different values of Reynolds number and Hartmann number. Finally, to examine the accuracy and the validity of the method, the obtained results have been compared with the available collation method results.
The impact of the “RunSmart” running programme on participant motivation, attendance and well-being using self-determination theory as a theoretical framework

ABSTRACT Running is a popular and convenient form of leisure-time physical activity, with participation levels increasing in the United Kingdom in low physical activity groups such as women and overweight individuals, following the introduction of schemes such as Couch to 5km (C25 K). However, despite the popularity of these programmes, there is little research into the social and psychological processes involved in effective engagement and long-term behaviour changes. Therefore, the aim of the study was to explore the impact of participation in a 10-week group-led beginners running programme on participant motivation, attendance and well-being using Self-Determination Theory (STD) as a theoretical framework. Participants (N = 124; Mage = 40.74) were recruited from a beginners’ running programme based in the North West of England and self-completed questionnaires during weeks 2, 6 and 10. Future intentions to run were also assessed at 3- and 6-month follow up. Results demonstrated the positive impact an adapted C25 K model can have upon elements of self-perceptions (particularly perceived competence) and future intentions to run. The path analysis, which looked at average values over time, demonstrated that leader autonomy support positively impacted upon participants’ basic needs satisfaction, which led to the development of more self-determined motivation, and in turn led to higher levels of attendance and mental well-being. Critically for drop-out, results from multiple regression analysis indicated that individuals with a higher BMI rated leader autonomy support as lower and felt less competent during the programme. A number of research and practical recommendations are discussed.
Reduction of Open-Circuit DC Winding Induced Voltage and Torque Pulsation in the Wound Field Switched Flux Machine by Stator Axial Pairing of Tooth-Tips

In this paper, stator axial pairing of tooth-tips is proposed to suppress the DC winding induced voltage and torque pulsation in the wound field (WF) switched flux (WFSF) machine. The stator is divided into two segments axially, whilst two segments have different arc of tooth-tips. The proposed technique can suppress the rated on-load torque ripple from 17.91% to 6.99%, reduce the peak-to-peak value of cogging torque by 90.1% from 5.14 Nm to 0.48 Nm, and reduce the opencircuit DC winding induced voltage by 84.4% from 39.79 V to 6.21 V. Although the efficiency of the machine is slightly reduced from 81.5% to 80.7%, the average torque can be maintained by >95%.
Rapid Identification of Mutations in Quinolone-Resistant Shigella Isolates by Scanning of gyrA and parC Genes using High-Resolution Melting Curve Analysis.

Objectives: Mutations in the quinolone resistance– determining regions (QRDRs) of the topoisomerase genes are considered to be a primary mechanism of quinolone and fluoroquinolone resistance. The objective of this study was to identify the most common gyrA and parC mutations in Shigella spp. , with the high-resolution melting (HRM) method. Methods: A total of 40 Shigella isolates analyzed for antibiotic susceptibility nalidoxic acid (NAL) and ciprofloxacin (CIP) by disc diffusion and minimum inhibitory concentration (MIC) method. Polymerase chain reaction (PCR) and high resolution melt curve analysis were done for detection of common mutation in gyrA and parC genes. Results: The MIC for 5 of the NAL and CIP-resistant isolates was ≥ 256, and the MIC in 30 NAL-resistant isolates was ≥ 8. The Tm of the wild-type gyrA allele was 83.5–83.8°C while that of the mutant strains (S83L and D87G) were at 83.9– 84.2°C. In the parC gene, the Tm for the wild-type allele was at 85.5–85.8°C, and the mutant-type allele’s Tm was at 85.30– 85.50°C. Conclusions: High-Resolution melting curve PCR analysis clearly decreases the sequencing labor involved in monitoring quinolone-resistance genes for mutations and is practicable for a wide-ranging quinolone-resistance monitoring program.
Causality between CO2 Emissions and Stock Markets

It is generally accepted in the scientific community that carbon dioxide (CO2) emissions, which lead to global warming, arise from using fossil fuels, namely coal, oil and gas, as energy sources. Consequently, alleviating the effects of global warming and climate change necessitates substantial reductions in the use of fossil fuel energy. This paper uses a financial market-based approach to investigate whether positive stock returns cause changes in CO2 emissions, or vice-versa, based on the Granger causality test to determine cause and effect, or leader and follower. If Granger causality can be determined in any direction, this will enable a clear directional statement regarding temporal predictability between stock returns and CO2 emissions. The empirical data include annual CO2 emissions from fuel combustion of the three main fossil energy sources, namely coal, oil and gas, based on 18 countries with sophisticated financial markets that are in the Morgan Stanley Capital International (MSCI) World Index from 1971 to 2017. The empirical results show clearly that all the statistically significant causality findings are unidirectional from the stock market returns to CO2 emissions from coal, oil and gas, but not the reverse. More importantly, the regression results suggest that when stock returns rise by 1%, CO2 emissions from coal combustion decrease by 9% among the countries that are included in MSCI World Index. Furthermore, when stock returns rise 1%, CO2 emissions from oil combustion increase by 2%, but stock returns have no significant effect on CO2 emissions from gas combustion.
Selective laser sintered nano-HA/PDLLA composite microspheres for bone scaffolds applications

Purpose The main cause of aseptic inflammation after an in vivo implantation is that Poly(L-lactide) (PLLA) and Poly(D-lactide) have a slower degradation and absorption rate, while Poly(D, L-lactide) (PDLLA) has a much faster degradation rate than PLLA because of its amorphous structure. Also, the hydrolyzate of Hydroxyapatite (HA) is alkaline, which can neutralize local tissue peracid caused by hydrolysis of Polylactic acid. Design/methodology/approach In this study, the selective laser sintering (SLS) technique was chosen to prepare bone scaffolds using nano-HA/PDLLA composite microspheres, which were prepared by the solid-in-oil-in-water (S/O/W) method. First, the SLS parameters range of bulk was determined by the result of a single-layer experiment and the optimized parameters were then obtained by the orthogonal experiment. The tensile property, hydrophobicity, biocompatibility, biological toxicity and in vitro degradation of the samples with optimized SLS parameters were characterized. Findings As a result, the samples showed a lower tensile strength because of the many holes in their interior, which was conducive to better cell adhesion and nutrient transport. In addition, the samples retained their inherent properties after SLS and the hydrophobicity was improved after adding nano-HA because of the OH group. Furthermore, the samples showed good biocompatibility with the large number of cells adhering to the material through pseudopods and there was no significant difference between the pure PDLLA and 10% HA/PDLLA in terms of biological toxicity. Finally, the degradation rate of the composites could be tailored by the amount of nano-HA. Originality/value This study combined the S/O/W and SLS technique and provides a theoretical future basis for the preparation of drug-loaded microsphere scaffolds through SLS using HA/PDLLA composites.