Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Profitabilitas pada Kebijakan Dividen dengan Investment Opportunity Set sebagai Variabel Pemediasi

The company dividend policy determines the amount of dividends distributed to shareholders. This study aims to obtain evidence of profitability in dividend policy with investment opportunities determined as mediating variables. This research was conducted at companies belonging to the LQ45 index on the IDX. The sampling method used was purposive sampling to obtain 87 observations. Data analysis technique used is path analysis. Based on research results, it is known that profitability has a positive effect on investment opportunity set. Profitability has a positive effect on dividend policy. Investment opportunity set has a negative effect on dividend policy. Investment opportunity set is able to mediate the effect of profitability on dividend policy.
Cool night temperatures cause sterility in rice

Abstract Not Available – First paragraph follows: COOL NIGHT TEMPERATURES 10 to 16 days before heading cause many rice florets to be sterile. The direct cause of sterility is failure of pollen grains to germinate because they are immature, and contain little if any starch. In two successive years, 12.5 and 12.8% of the florets in rice fields grown for certification were found to be sterile, as determined by random samples of panicles taken from fields. The range in sterility in 59 fields checked in 1972 was from 2.7% to 34.8%. Rice growers have recognized the problem for many years and have correctly associated it with late planting, cold water at the inlet boxes, and heavy nitrogen fertilizer applications.
INTERACTIONS BETWEEN XENOPUS SPECIES (ANURA PIPIDAE)

SUMMARY The patterns of geographical distribution shown by the species of Xenopus (Anura Pipidae) are briefly reviewed; some areas of sympatry are identified and various implications are discussed. The potential exchange of parasite infections between host species is facilitated in areas of sympatry. However, evidence from the host specificity of monogenean, cestode and nematode parasites shows that, despite the sharing of habitats, several Xenopus may maintain species-specific infections. The disjunctions in the host distribution of these parasites corresponds with genome duplication in the series of Xenopus species. Sympatry facilitates hybridisation. In South Africa, interbreeding of X. gilli Rose & Hewitt and X. laevis (Daudin) gives rise to gene introgression and, potentially, to polyploidisation. In Central Africa, hybridisation and polyploidisation have been important factors in evolution; the genus contains an allopolyploid series with species possessing 2n = 20, 36, 72 and 108 chromosomes. There .
Effects of Low-Temperature Drying with Intermittent Gaseous Chlorine Dioxide Treatment on Texture and Shelf-Life of Rice Cakes

We investigated the effect of chlorine dioxide (ClO2) under low temperature drying to suppress rice cake stickiness during the cutting process by initiating the onset of retrogradation until the stickiness is minimized for shelf-life extension. The intermittent ClO2 application at low-temperature drying was conducted at 10 °C for different drying periods (0, 6, 12, 18, and 24 h). Texture analysis showed significant differences with increasing values of hardness (901.39 ± 53.87 to 12,653 ± 1689.35 g) and reduced values of modified adhesiveness (3614.37 ±578.23 to 534.81 ± 89.37 g). The evaluation of rice cake stickiness during the cutting process revealed an optimum drying period of 18 h with no significant difference (p ≤ 0.05) compared to the 24 h drying process. Microbial contamination during the drying process increased, with microbial load from 6.39 ± 0.37 to 7.94 ± 0.29 CFU/g. Intermittent ClO2 application at 22 ppm successfully reduced the microbial load by 63% during drying process. The inhibitory property of ClO2 was further analyzed on a sample with high initial microbial load (3.01 ± 0.14 CFU/g) using primary and modified secondary growth models fitted to all experimental storage temperatures (5–25 °C) with R2 values > 0.99. The model demonstrated a strong inhibition by ClO2 with microbial growth not exceeding the accepted population threshold (106 CFU/g) for toxin production. The shelf-life of rice cake was increased by 86 h and 432 h at room temperature (25 °C) and 5 °C respectively. Microbial inactivation via ClO2 treatment is a novel method for improved food storage without additional thermal sterilization or the use of an additional processing unit.
Can Online Social Network Promote Residents’ Consumption—Proven by the Micro Data from 27,632 Chinese Households

Our research aim is to analyze the impact of rural and urban households’ online social network on their daily consumption, and tests the most important transmission mechanism—credit constraint mechanism in it, and we use the micro data sample of China Household tracking survey (CFPS) to achieve it. Furthermore, we compare the impact of formal finance and informal finance on household consumption’s differences in response. The conclusion shows that: 1) online “group culture” has formed a new type of social capital in China, and has an impact on traditional social networks; 2) there are significant regional differences in the impact of online social networks on consumer credit; 3) the improvement of credit consumption is more driven by Internet technology, and the impact of formal financial institutions on consumer spending is declining. The impact of Internet technology innovation on the improvement of household credit consumption power is constantly improving, and more and more Chinese households get consumer credit support through online social networks.
Sudden Cardiac Death in Hereditary Dilated Cardiomyopathy

Dilated cardiomyopathy (DCM) is characterized by the phenotype of a dilated left ventricle with systolic dysfunction. It is classified as hereditary when it is deemed of genetic origin; more than 50 genes are reported to be related to the condition. Symptoms include, among others, dyspnea, fatigue, arrhythmias, and syncope. Unfortunately, sudden cardiac death may be the first manifestation of the disease. Risk stratification regarding sudden death in hereditary DCM as well as preventive management poses a challenge due to the heterogeneity of the disease. The purpose of this chapter is to present the epidemiology, risk stratification, and preventive strategies of sudden cardiac death in hereditary DCM.
AI for Improving the Overall Equipment Efficiency in Manufacturing Industry

Industry 4.0 has emerged as the perfect scenario for boosting the application of novel artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process monitoring data, enabled by the cyber-physical systems (CPS) distributed along the manufacturing processes, the proliferation of hybrid Internet of Things (IoT) architectures supported by polyglot data repositories, and big (small) data analytics capabilities. Industry 4.0 paradigm is data-driven, where the smart exploitation of data is providing a large set of competitive advantages impacting productivity, quality, and efficiency key performance indicators (KPIs). Overall equipment efficiency (OEE) has emerged as the target KPI for most manufacturing industries due to the fact that considers three key indicators: availability, quality, and performance. This chapter describes how different AI and ML solutions can enable a big step forward in industrial process control, focusing on OEE impact illustrated by means of real use cases and research project results.
Are science festivals a good place to discuss heated topics?

Public acceptance of vaccination and Genetically Modified (GM) food is low and opposition is stiff. During two science festivals in France, we discussed in small groups the scientific evidence and current consensus on the benefits of vaccination and GM food safety. Our interventions reinforced people's positive opinions on vaccination and produced a drastic positive shift of GM food opinions. Despite the controversial nature of the topics discussed, there were very few cases of backfire effects among the 175 participants who volunteered. These results should encourage scientists to engage more often with the public during science festivals, even on heated topics.
Anomaly Detection of Manufacturing Process for Multi-Variety and Small Batch Production

A series of quality control problems arise in multi-variety and small batch production due to the lack of data and other factors. In this paper, an integrated model in which control chart pattern (CCP) recognition is applied for anomaly detection is proposed to solve the problems. The integrated model is made up of four parts: feature extraction module, feature selection module, classifier module and anomaly diagnosis module. In the first module, thirteen shape features and eight statistical features of control charts are extracted. In the second module, the most representative feature set is selected by the sequential floating forward selection (SFFS) method. In the third module, a multiclass support vector machine (MSVM) which is optimized by beetle antennae search (BAS) algorithm is used to identify abnormal CCPs. In the last module, the results of pattern recognition are utilized to analyze the possible causes. The simulation results show that the CCP recognition method proposed in this paper has higher classification accuracy than other competing methods in the case of small sample with small amount of data. Finally, an example verifies that the proposed anomaly detection method is effective in multi-variety and small batch manufacturing environment.
Directing Arrowhead Nanorod Dimers for MicroRNA In Situ Raman Detection in Living Cells

Directed self‐assembled nanomaterials with biological applications have attracted great interest. Here, arrowhead gold nanorod (NR) dimers with side‐by‐side and end‐to‐end motifs (known as AHSBS and AHETE dimers, respectively) presented based on selective modification of arrowhead NRs with DNA and polyethylene glycol, possessing intense surface enhanced Raman scattering (SERS) signals, are assembled for in situ intracellular microRNA detection. The arrowhead NR dimers are capable of recognizing target microRNA in a sequence‐specific manner as Raman signals significantly enhanced within dimers with both motifs. Following recognition, the dimers gradually disassemble, resulting in decreased SERS signals to achieve effective in situ Raman imaging and quantify the detection of target microRNA. The SERS intensity shows a linear relationship with intracellular target microRNA and a limit of detection of 0.011 amol ngRNA−1 for the AHETE dimer and 0.023 amol ngRNA−1 for the AHSBS dimer, respectively. The sensitivity for AHETE dimers is ≈2.1 times higher than that for AHSBS dimers, which is attributed to the small quantity of recognized molecules and stronger electrical enhancement, which causes greater SERS signals in the AHETE dimers. This approach opens up a new avenue for directed nanomaterials assembly and biological detection in living cells.
Latino Caregivers’ Interactions With Their Children With Language Delays: A Comparison Study

Evidence-based treatments for young children with developmental language delays include caregiver-implemented naturalistic interventions. However, there is little research on culturally appropriate interventions for Spanish-speaking caregivers from low–socioeconomic status (SES) households and their young children with identified language delays. We compared interaction strategies of Latino Spanish-speaking caregivers from low-SES backgrounds and non-Latino English-speaking caregivers from high-SES backgrounds with their children with language delays. Caregivers’ interactions were coded for (a) interaction characteristics, (b) use of naturalistic language support strategies, and (c) linguistic input. Results indicated Spanish-speaking Latino caregivers from low-SES backgrounds used a more directive, responsive, and warm interaction style than non-Latino caregivers. Non-Latino, English-speaking caregivers from high-SES backgrounds used more cognitively stimulating strategies, spent more time observing and narrating play, and used longer utterances and more lexical diversity. Findings provide directions for future research and guidance for clinicians working with Latino families from low-SES households.
Report del seminario: “Ecofisiologia, biologia e genetica del pioppo - Stato della ricerca in Italia”

Abstract: A workshop on the state of art of research, biology and genetics in Poplar in Italy, has been held in Sesto Fiorentino (Firenze) on 25th of may, 2007. The rationale and the aims of the meeting along with a brief descriptions of the communications given are reported.
P93 Analysis of low-frequency and rare variants in Swedish SLE patients with lupus nephritis

Background Genome wide association studies (GWAS) have identified numerous SLE risk genes, however, few genes are reported as predisposing to the lupus nephritis (LN) phenotype.1 Objective To explore whether gene-based aggregates of low frequency (MAF<0.05) and/or rare (MAF<0.01) single nucleotide polymorphisms (SNPs) were associated with different subsets of LN or end stage renal disease (ESRD). Methods We analyzed genotype data from Swedish SLE patients (n=958). Data was generated by targeted sequencing of the coding and regulatory regions of 1900 genes involved in basic immune functions, inflammation and autoimmune diseases. The softwares GenePy2 and optimized sequence Kernel association test (SKAT-O)3 were used to analyze the impact of low frequency and rare variants in LN patients with different sub-phenotypes (n=208) as compared to those (n=621) who had not developed LN at the time of the study. We also performed logistic regression models with different sub phenotypes of LN as the outcome, adjusted for sex and age. Results Two candidate genes; gelsolin (GSN; 5.97×10 –5 ) and Insulin like growth factor binding protein 7 were identified (IGFBP7; 5.95×10-6) to have significantly higher GenePy scores in cases vs controls (bootstrap test, 1000 permutations). GSN, an actin-binding protein, is involved in non-AL renal amyloidosis and in the development of IgA nephropathy. GSN was associated with proteinuria (OR, [95% CI]; 14.1 [2.9–66.9], p=0.001 and ESRD (5.9[2.4–15.0], p=0.001) after adjusted for gender and age. IGFBP7, an emerging biomarker for acute kidney injury, was also significantly associated with Class3/4and ESRD (p=4.9×10-6). SKAT-O identified one gene was associated with Class V; CTF1 (suggestive p<2.97×10 –5, Bonferroni corrected p = 0.05). Conclusion An aggregate association testing approach incorporating functional annotation revealed two putative risk loci (GSN and IGFBP7) associated with LN and ESRD. Further investigation needs to test their functional roles in detail. References Niewold TB. Advances in lupus genetics. Curr Opin Rheumatol 2015 September;27(5):440–447. Mossotto E, Ashton JJ, O’Gorman L, Pengelly RJ, Beattie RM, MacArthur BD, et al. GenePy - a score for estimating gene pathogenicity in individuals using next-generation sequencing data. BMC Bioinformatics. 2019 May;20(1):254. Lee S, Wu MC, Lin X. Optimal tests for rare variant effects in sequencing association studies. Biostatistics. 2012 September;13(4);762–775.
Antimicrobial Susceptibility Testing Protocols

An Overview of the Clinical and Laboratory Standards Institute and its Impact on Antimicrobial Susceptibility Testing, A. L. Barry Antimicrobial Classifications: Drugs for Bugs, C.B. Calderon, and B. Perdue Sabundayo Disk Diffusion Tests and Gradient Methodologies, A. Wanger Macro and Microdilution Methods of Antimicrobial Susceptibility Testing, S. Qaiyumi Automated Systems: An Overview, S. Stuckey Agar Dilution Susceptibility Testing, A. Hanlon, M. Taylor, and J. Dick Antibiograms/Preventive Surveillance: A Continuum of Data Collection, Analysis, and Presentation, J. Thomas and N.T. Rector Anaerobe Susceptibility Testing, D. E. Roe-Carpenter Antifungal Susceptibility Testing of Yeasts, A. Espinel-Ingroff and E. Canton Antifungal Susceptibility Testing of Filamentous Fungi, A. Espinel-Ingroff and E. Canton Susceptibility Testing of Mycobacteria, B. A. Brown-Elliott, S. Cohen, and R.J. Wallace, Jr. Methods for Determining Bactericidal Activity and Antimicrobial Interactions: Synergy Testing/Time-Kill Curves/Population Analysis, P. Verma Serum Bactericidal Testing, H. Nadler and M. Dowzicky Bioassay Methods for Antimicrobial and Antifungal Agents, D.H. Pitkin and E. Martin-Mazuelos Molecular Methods for Bacterial Strain Typing, S. Michaud and D. Berg Pharmacy and Microbiology: Interactive Synergy, B. Perdue Sabundayo and C.B. Calderon Interactions Between Clinicians and the Microbiology Laboratory, J.H. Powers Clinical Microbiology in the Development of New Antimicrobial Agents, C.D. Webb and B.G. Painter
A Crawling Soft Robot Driven by Pneumatic Foldable Actuators Based on Miura-Ori

Origami structures are highly demanded for engineering applications. Using origami folding to design and actuate mechanisms and machines offers attractive opportunities. In this paper, we design a crawling robot driven by pneumatic foldable actuators (PFAs) based on Miura-ori, according to the parallel foldable structure and different control patterns, which can perform different movements. The PFA inspired from Miura-ori is composed of a folding part, transition part, and sealing part, made by flexible materials and a paper skeleton. This actuator can obtain a large deformation by folding under negative pressure due to its own characteristics, and the relationship between deformation and pressure is analyzed. According to the different folding and unfolding times of left and right actuators, the crawling robot can perform both linear and turning movements. The speed of the robot is about 5 mm/s and it can turn at a speed of about 15°/s. The crawling robot uses the ability of the foldable structure to cope with the challenges of different environments and tasks.
Field Prediction and Validation of a Slotless Segmented-Halbach Permanent Magnet Synchronous Machine for More Electric Aircraft

High-performance propulsion motors for more electric aircraft (MEA) are highly appreciated in transportation electrification. For the widely adopted permanent magnet synchronous machines (PMSMs) for MEA propulsion, the segmented Halbach magnetization has distinct merit that it contributes to sinusoidal air-gap magnetic fields for smooth operation. However, it is hard to fast predict the field distribution and machine performance due to the model complexity. Based on the subdomain method, this article first proposes an exact analytical model for slotless PMSM with the segmented Halbach PMs. Then, the model is applied in the fast computation of the magnetic field and performance prediction. Subsequently, the analytical results are compared with the finite element method (FEM), including the flux density, flux linkage, induced voltage, and steady-state torque at different loads. Also, the computation burden and prediction error are included to validate the model’s rapidity and accuracy. Finally, by prototype fabrication and unique field measurement methods, the flux density distribution is originally validated.
Efficient Lattice-Based Ring Signature for Message Authentication in VANETs

In this article, we propose an efficient lattice-based ring signature scheme for message authentication in vehicular ad-hoc networks (VANETs). It provides unconditional identity privacy preservation, message authentication, and location privacy for the sender vehicle. The authentication of messages is extremely vital as it gives motivation for vehicles to accept, act, and further transmit messages to other vehicles in the network as well as remain a member of the network. Any unauthorized vehicle cannot transmit fraud messages into the network if messages are authenticated. The public key cryptography-based methods are more relevant for message authentication because of their easy key management and local derivation of keys. However, they add complexity to the whole network and require significant storage and computational power. Also, the predictable mobility characteristics of vehicles moving on the road make them vulnerable to tracking. This requires an additional mechanism to preserve location privacy. The proposed scheme provides unconditional identity privacy and location privacy. It is more efficient than the existing ring signature schemes in case of signature generation and verification process. Theoretical analysis and experimental results show that the proposed scheme provides security and unconditional privacy to vehicles in VANETs.
Sequential IoT Data Augmentation Using Generative Adversarial Networks

Sequential data in industrial applications can be used to train and evaluate machine learning models (e.g. classifiers). Since gathering representative amounts of data is difficult and time consuming, there is an incentive to generate it from a small ground truth. Data augmentation is a common method to generate more data through a priori knowledge with one specific method, so called generative adversarial networks (GANs), enabling data generation from noise. This paper investigates the possibility of using GANs in order to augment sequential Internet of Things (IoT) data, with an example implementation that generates household energy consumption data with and without swimming pools. The results of the example implementation seem subjectively similar to the original data. Additionally to this subjective evaluation, the paper also introduces a quantitative evaluation technique for GANs if labels are provided. The positive results from the evaluation support the initial assumption that generating sequential data from a small ground truth is possible. This means that tedious data acquisition of sequential data can be shortened. In the future, the results of this paper may be included as a tool in machine learning, tackling the small data challenge.
New Comparison Theorems for the Nth Order Neutral Differential Equations with Delay Inequalities

In this work, we present a new technique for the oscillatory properties of solutions of higher-order differential equations. We set new sufficient criteria for oscillation via comparison with higher-order differential inequalities. Moreover, we use the comparison with first-order differential equations. Finally, we provide an example to illustrate the importance of the results.
Pitting Hole Evaluation by Active Infrared Thermography in Stainless Steel 304

Nowadays, infrared thermography technique is widely use in an engineering study to inspect various types of problem. In this experiment, active infrared thermography method is applied to overcome the constraint locating pitted inside pipe. The main purpose of this experiment is to examine the location of pitted occur in the stainless steel 304 and at the same time to identify the transient effect on the pipe against the duration of time radiation exposed. This experiment uses two unit of spotlight as sources of heat to emit radiation energy to the surface of the pipe. A FLIR T640 thermography camera was used to record the thermal contrast of the pipe in real time using FLIR Tools+ software installs in the laptop. This experiment was tested at normal surrounding temperature. All of the temperature data is then interpreted into contour graph by using Microsoft Excel to see the defect area based on temperature distribution. Based on the result, the most significant temperature drops within highest gradient observed at cooling phase are within 7s, 2s and 1s interval for 10s, 20s and 30s of radiation exposure respectively. The time of the pitted to appear is related to the exposure time of the radiation. The finding of this experiment shows that short duration time of radiation exposure will give the longer time interval of significant gradient to appear. Therefore, this experiment proves that infrared thermography is one of the non- destructive testing methods that can be used in inspecting the pipeline.