Miracle-dz/UniFAR-FTUs huggingface dataset:
FACTORS AFFECTING THE USE OF E-MONEY (STUDY ON E-MONEY USER IN CITY OF SOUTH TANGERANG)

The purpose of this study is to analyze the factors that influence the use of e-money. The type of study is a quantitative method questionnaires distributed in soft copy (Google Form). The samples included 107 people who lived in the city of South Tangerang, Banten. Samples are taken by simple random sampling technique. The analytical method used is the analysis of multiple data processing using E-Views 8. The results of this experiment show that the variables of Perceived Benefit and Compatibility does not affect the use of e-money, while Perceived Usefulness variables influence the use of e-money and also, Perceived of Benefit, Compatibility and Perceived Usefulness affect on the use of e-money together.
Metapolitical New Right Influencers: The Case of Brittany Pettibone

Far-right movements, activists, and political parties are on the rise worldwide. Several scholars connect this rise of the far-right at least partially to the affordances of digital media and to a new digital metapolitical battle. A lot has been written about the far-right’s adoption of trolling, harassment, and meme-culture in their metapolitical strategy, but researchers have focused less on how far-right vloggers are using the practices of influencer culture for metapolitical goals. This paper tries to fill this gap and bring new theoretical insights based on a digital ethnographic case study. By analyzing political YouTuber and #pizzagate propagator Brittany Pettibone, this paper contributes to our understanding of radicalization processes in relation to the use of digital media.
A Cost-Aware Strategy for Deadline Constrained Scientific Workflows

As the reliability on clouds as an effective platform for scientific workflow applications increase, cloud computing structures are gradually becoming heterogeneous. In service-oriented systems that are heterogeneous, the management of the reliability of resources is a critical issue. Due to this heterogeneity, different models and bandwidths, existing workflows mainly focus on traditional computing environments such as grids. This paper proposes a deadline constrained scheduling strategy for scientific workflows across multiple clouds. To reduce the execution cost and meet deadline at the same time, an adaptive particle swarm optimisation (PSO) technique is proposed. This strategy uses a random single point mutation operator and a two-point crossover operator based on genetic algorithm (GA) technique to optimise computation and data transfer cost. The proposed scheme is evaluated using well-studied scientific workflows. The results obtained from simulations show that the adaptive PSO strategy performs better than existing state-of-the-art scheduling workflow strategies.
Tailoring Surface Roughness Using Additive Manufacturing to Improve Internal Cooling

Surface roughness present on internal cooling channels produced with additive manufacturing has been previously shown to augment heat transfer and pressure loss to levels similar to traditionally cast turbulators. Given the ability of the surface roughness to improve the cooling performance of small cooling channels, the question arises on whether there is an optimal combination of random roughness features to maximize internal cooling performance. To investigate this question, test coupons with different surface roughness morphologies and magnitudes were manufactured by manipulating the parameters in the laser powder bed fusion additive manufacturing process. The coupons were tested to characterize the friction factor and Nusselt number of the cooling channels over a range of Reynolds numbers. Results showed that certain roughness combinations outperformed others, increasing the internal cooling performance of the channels. Additionally, manipulation of the performance using the process parameters allowed for reductions in build time, which could be useful for controlling component cost. [DOI: 10.1115/1.4047380]
lncRNA Neat1 drives neuronal histone methylation and age-related memory impairments

Histone methylation is critical for the formation and maintenance of long-term memories. Long noncoding RNAs (lncRNAs) are regulators of histone methyltransferases and other chromatin modifying enzymes (CMEs). We investigated how lncRNA Neat1-mediated histone methylation contributes to hippocampus-dependent long-term memory formation, using a combination of transcriptomics, RNA binding protein immunoprecipitation, CRISPR mediated gene activation, and behavioral approaches. Suppression of the lncRNA Neat1 revealed widespread changes in gene transcription as well as perturbations of histone 3 lysine 9 dimethylation (H3K9me2), a repressive histone modification mark that is dysregulated in the aging hippocampus. We identified a Neat1-dependent mechanism of transcriptional repression via H3K9me2 at the c-Fos promoter corresponding with observed changes in c-Fos mRNA levels. Overexpression of hippocampal Neat1 via CRISPRa is sufficient to impair memory formation in young adults, recapitulating observed memory deficits in old adults, while Neat1 suppression in both young and old adult mice improves memory. These results suggest that lncRNA Neat1 is a potent epigenetic regulator of hippocampus-dependent long-term memory formation.
Envelhecimento biológico versus cronológico. Seminário Focado do JACC

O envelhecimento é o principal fator de risco para doença vascular e eventos cardiovasculares e cerebrovasculares subsequentes, os quais são as principais causas de morte no mundo todo. Em uma população que envelhece progressivamente, é essencial o desenvolvimento de biomarcadores precoces que identifiquem de forma eficiente indivíduos com alto risco de desenvolver dano vascular acelerado, com o objetivo final de melhorar a prevenção primária e reduzir o impacto socioeconômico e na atenção à saúde da doença cardiovascular relacionada à idade. Estudos em modelos experimentais e seres humanos identificaram nove processos extremamente interconectados que conduzem o envelhecimento nos mamíferos. No entanto, estratégias para estender o ciclo de vida e de saúde requerem compreensão das diferenças interindividuais no declínio funcional dependente da idade, conhecido como envelhecimento biológico. Esta revisão resume o conhecimento atual sobre os biomarcadores de idade biológica, os fatores que influenciam o envelhecimento biológico e as intervenções antienvelhecimento, com foco nos aspectos vasculares do processo de envelhecimento e suas manifestações relacionadas a doenças cardiovasculares. (J Am Coll Cardiol 2020;75:919-30) © 2020 Os autores. Publicado por Elsevier em nome da American College of Cardiology Foundation. Este artigo é de acesso aberto sob a licença CC BY-NC-ND (http://creativecommons.org/licenses/by-nc-nd/4.0/).
On the Development of Wideband Direct Detection Focal Plane Arrays for THz Passive Imaging Applications

In the design of millimeter and sub-millimeter wave radiometric imaging systems a persistent goal is the increase in the speed of acquisition of the image while maintaining a high sensitivity. Typically, the highest sensitivity is achieved by cryogenically cooling the detectors, specifically in astronomical applications. However, for the purpose of low-cost imaging applications it is desirable to operate at room temperature. Without cryogenically cooling, the electronic noise introduced by the detectors becomes dominant, making the detectors less sensitive. Resorting to detection architectures containing amplification circuitry might be impractical for implementation in large focal plane arrays (FPAs) fabricated in integrated technologies. This work derives the focal plane architecture that maximizes the imaging speed of radiometers operating at room temperature without using any amplification circuitry. It is shown that in such scenario a practical image acquisition speed can still be achieved when a very broad portion of the THz-band is exploited. Ultimately the imaging speed is maximized when the FPA is undersampled, implying a trade-off in the size of the optics. The analysis is substantiated by a case study using wideband leaky lens antenna feeds operating over a 3:1 relative frequency band.
Radioisotope-ADME studies of Trastuzumab-monomethyl auristatin F in
 tumor bearing mice and healthy marmosets

Radioisotope ADME (RI-ADME) studies are enabling visualization of the biodistribution in molecular imaging. We applied RI-ADME to investigate the tumor targeting capacity and biodistribution of trastuzumab-monomethyl auristatin F (LCB14-0110) in JIMT-1 xenograft mice and healthy marmoset. The LCB14-0110 was labelled with I. I-LCB14-0110 was intravenously administered to the animals. The gamma-count and single-photon emission computed tomography/computed tomography (SPECT/CT) was conducted for biodistributioon and bioimaging of the biopharmaceutics. Tumor uptake in xenograft mice was highest at three-day after I-LCB14-0110 administration in both the biodistribution and SPECT/CT bioimaging. Alternatively, blood and organ tissues showed gradual decrease in radioactivity over time. In marmosets, radioactivity in all organ tissues rapidly reduced and no specific targeting of organs was observed in the biodistribution study and SPECT/CT imaging. Hence, ILCB14-0110 demonstrated effective tumor targeting capacity and accumulated in JIMT-1 cell-bearing mice. However, accumulation did not occur in the organs of xenograft mice. Additionally, marmosets showed rapidly decrease in radioactivity throughout the entire body without accumulation in the normal organs. We also confirmed that the drug distribution was similar in normal organs between the two experimental animal species except spleen. Therefore, I is expected to be a useful tool in the study of RI-ADME in biopharmaceuticals through minimal antibody modification.
Convex synthesis for optimal ℋ∞ consensus of input-delayed multi-agent systems via dynamic relative output feedback

In this paper, we address the leaderless consensus control problem for a class of linear multi-agent systems (MASs) subject to nonlinear time-varying input delays and unknown external disturbances. The MAS is considered to be non-introspective, meaning that each individual agent is not able to measure the absolute plant state/output of its own but can sense relative information from its neighbours. A novel dynamic relative output-feedback (DROF) controller structure is proposed by leveraging the integral quadratic constraints (IQCs) from robust control theory. This new DROF controller is compelling in the sense that it utilises not only the relative plant outputs, but also the relative controller states and relative IQC-induced dynamics states for distributed feedback control. Based on this, the associated consensus control synthesis conditions that guarantee optimal disturbance attenuation performance in the presence of time-varying input delays are derived and formulated as linear matrix inequalities (LMIs), which can be solved efficiently via convex optimisation. Effectiveness of the proposed theoretical results is demonstrated through simulation studies.
Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology
Effectiveness of a mobile antiretroviral pharmacy and HIV care intervention on the continuum of HIV care in rural Uganda

Introduction Adherence to antiretroviral therapy (ART) is critical in order to achieve viral suppression, one of three UNAIDS targets set for achievement before 2020. One of the main barriers to adherence is the long distance between patient residences and healthcare facilities. We designed an intervention, Mobile Antiretroviral Therapy and HIV care (MAP-HC) in rural southwestern Uganda aimed to reduce travel distance and hypothesized that MAP-HC would improve ART adherence and rates of viral load suppression. Methods The study was conducted at two sites, Kitagata and Itojo Hospitals, and these are public health facilities located in rural southwestern Uganda. Patients who lived >5km from the hospital were provided the option to participate. For each hospital, we identified 4 health centres in the catchment area to serve as site for the mobile pharmacy. Each site was visited once a month to provide ART refills, adherence counseling and treatment of other illnesses. We measured patient waiting time, adherence and viral load suppression before and after the intervention. Results We conducted baseline assessment among 292 patients at the two hospitals. The mean waiting time at Kitagata Hospital changed from 4.48 hours before the intervention but increased to 4.76 hours after the intervention (p=0.13). The proportion of patients who missed an ART dose in the last 30 days dropped from 20% at baseline to 8.5% at 12 months after the intervention (p=0.009). The proportion of patients with detectable viral load from 19.9% to 7.4% after the intervention (p=0.001). Conclusions Our study has showed that a mobile pharmacy intervention in rural Uganda is feasible and resulted in improvement in adherence and viral load suppression. Although it did not reduce patient waiting time at the clinic, we recommend a scale-up of this intervention in rural areas where patients face challenges of transportation to the clinic.
The Volcanic Rock Is Identified Automatically Using the Convolutional Neural Network

According to the well logging, drilling, and 3D seismic data, we identified the volcanic rock automatically by computer. The recognition system was an image recognition technology based on deep learning algorithm based on seismic data. During the identification process, the 3d seismic data are disassembled into 2d seismic profile by seismic interpretation technique in Dehui Fault Depression of Songliao Basin. And then, we think it was a two-dimensional picture as learning samples, classification of seismic data, establishment of labels, forming a training set. The training set is deeply learned to generate automatic recognition model. Finally, according to the generated automatic identification model, the volcanic rock is realized automatically based on seismic data.
MicroRNA-141 participates in milk lipid metabolism by targeting SIRT1 in bovine mammary epithelial cells

Context The regulation of milk lipids is important for the evaluation of dairy cows’ performance. Lipids are produced and secreted by mammary gland under the regulation of steroid hormones, growth factors and microRNAs (miRNAs). MicroRNAs have been verified to be involved in numerous biological processes. Previous studies have shown that miR-141 is expressed at higher levels in dairy cows at peak lactation than in those at early lactation. However, the roles of miR-141 in bovine mammary epithelial cells (BMECs) and the mechanisms how it affects lipid metabolism are as yet unknown. Aims The aims of this study were to clarify (i) the molecular mechanisms of miR-141 in milk lipid metabolism, and (ii) how miR-141 affects milk lipid metabolism in BMECs. Methods Triglycerides were observed in BMECs using triglyceride analysis after overexpression or inhibition of miR-141; selected potential candidate genes that are targeted by miR-141 using TargetScan. The regulatory relationship among miR-141, SIRT1 gene and lipid metabolism-related genes (SREBF1, FASN and PPARγ) by using the dual luciferase assay, quantitative real-time PCR and western blotting. Key results Through overexpression or inhibition of miR-141 expression, we found that miR-141 promoted lipid metabolism in BMECs and an increase in triglycerides was observed in these cells. Further, miR-141 targets the 3′UTR of SIRT1 mRNA, and negative regulates the expression of SIRT1 gene in BMECs. Also, the expression levels of SREBF1, FASN and PPARγ, which are related to milk lipid metabolism, were also altered after overexpression miR-141. Conclusions Our results have revealed that miR-141 could promote milk lipid metabolism in BMECs by means of negative regulates SIRT1 gene and positive effects lipid metabolism-related genes (SREBF1, FASN and PPARγ) in BMECs. Implications Our research indicates that miR-141 could be considered a marker in cattle breeding to obtain high quality dairy products. It would be useful to study the function of miRNAs in milk lipid metabolism and synthesis. In the long term these findings might be helpful in developing practical means to improve the quality of ruminant milk.
Mandatory audit firm rotation: a critical composition of practitioner views from an emerging economy

This study aims to address an acknowledged gap in the literature for the analysis of experienced practitioner views on the effects and implications of mandatory audit firm rotation (MAFR). ,Using an exploratory and sequential design, data was collected from South African regulatory policy documents, organisational comment letters and semi-structured interviews of practitioners. These findings informed a field survey, administered to auditors, investors, chief financial officers (CFOs) and audit committee members of Johannesburg Stock Exchange (JSE) listed companies. ,Practitioners expressed considerable pushback against the potential efficacy of MAFR to improve audit quality due to various “switching costs”, notably the loss of client-specific knowledge and expertise upon rotation. In addition, the cost and disruption to both the client and audit firm are considered significant and unnecessary, compared to audit partner rotation. The audit industry may suffer reduced profitability and increased strain on partners, leading to a decline in the appeal of the profession as a career of choice. This is likely to have negative implications for audit industry diversity objectives. Furthermore, the industry may become more supplier-concentrated amongst the Big 4 firms. ,The findings have policy implications for regulators deciding whether to adopt the regulation, as well as guiding the design of policies and procedures to mitigate the negative effects of adoption. ,The participants are experienced with diverse roles concerning the use, preparation and audit of financial statements of large exchange-listed multinational companies, as well as engagement in the auditor appointment process. The extant literature presents mixed results on the link between MAFR and audit quality, with most studies relying on archival and experimental designs. These have a limited ability to identify and critique the potential’s witching costs and unintended consequences of the regulation. Experienced participants responsible for decision-making within the audit, audit oversight and auditor appointment process, are best suited to provide perspective on these effects, contrasted against the audit regulator’s position.
Comparative proteome analysis of drought-sensitive and drought-tolerant maize leaves under osmotic stress

Abstract: Drought is a major yield-limiting factor in maize production. Osmotic stress was applied to two maize inbred lines with polyethylene glycol 6000 treatments. Proteins from the leaves were analyzed by two-dimensional gel electrophoresis and peptide mass fingerprinting at two time points, 24 and 48 h after osmotic stress. Thirty-five proteins were differentially expressed between control and treatment groups in the two maize inbred lines. In ‘Qi319’, a drought-tolerant inbred line, there were five up-regulated proteins at 24 h and 13 up-regulated and one down-regulated protein at 48 h. In drought-sensitive line ‘Zheng58’, 10 proteins were up-regulated at 24 h, while six proteins were up-regulated at 48 h. The 35 proteins were subjected to mass spectrometry and 17 proteins were successfully identified. These proteins were classified into six categories: photosynthesis-related, energy and metabolism, signaling pathways, protein synthesis, defense-related, and unclassified.
SYNTHESIS, CHARACTERISATION AND ANTIMICROBIAL STUDIES OF MIXED LIGANDS METAL (II) COMPLEXES OF SULFAMETHOXAZOLE AND N,N- DONORS HETEROCYCLES

Two mixed ligands of sulfamethoxazole (SMX) with N,N donor heterocycles: 1,10-phenanthroline (phen) and 2,2′-bipyridine (bipy) metal complexes having the composition [M(SMX)(phen)X]. nH2O and [M(SMX)(bipy)X]. nH2O (where M = Zn(II) , Co(II) , Fe (II), Mn (II),Cu(II) ; X = SO4/Cl2) have been synthesised and characterised by physicochemical methods based on their solubility , metal analysis, infrared and UV-Visible techniques. Infrared spectra data showed SMX as a bidentate ligand coordinating to the metals through the N atom of the sulfonamide group ((3195-3030cm-1) and oxygen atom of the sulfonyl moiety (1158-1103 cm-1) while the heterocycles also bonded as bidentate ligands through their diimine nitrogen atoms (1606-1423 cm-1). The electronic spectra data indicated that all the metal(II) complexes were monomeric and octahedral. The in-vitro antimicrobial studies of these complexes and their ligands against environmental strains of microorganisms: Bacillus subtilis, Staphylococcus aureus, Pseudomonas aeruginosa, Escherichia coli, Aspergillus niger and Candida albicans showed that SMX-phen metal complexes [M(SMX)(phen)X]. nH2O are better heterocycle with zone of inhibition in the range 28-10mm to combine with SMX for the enhancement of its antimicrobial spectrum this may be due to their more extensive aromatic ring system which gave better lipophilicity, hence aided cell membrane penetration and promoted hostile intracellular interactions leading to death of microoganisms.