Miracle-dz/UniFAR-FTUs huggingface dataset:
ADOPSI TECHNOLOGY ACCEPTANCE MODEL (TAM) TERHADAP PERILAKU MINAT GENERASI MILENIAL DALAM BERINVESTASI DI PASAR MODAL

This study aims to determine the effect of technology acceptance on the interests of the millennial generation to invest in the capital market. The adoption of the TAM model was used in this study, with a quantitative descriptive method approach, data collection using a questionnaire with a sample of 135 people based on calculations with the Slovin formula. Data were analyzed using smart partial least square. The results of this study provide answers to the proposed hypothesis in which the variable perceived ease of use, perceived usefulness, perceived enjoyment have a positive and significant effect on the variable of behavioral intention to use, then the variable perceived enjoyment and behavioral intention to use also have a positive and significant effect on variables actual to use, but there is one variable that does not significantly influence the effect of the variable perceived usefulness on the variable actual to use. This research clarifies how the role of technology applied in online stock trading can influence the behavior of the interests of investors in the Indonesian capital market, especially among millennials. This research is expected to be useful for the development of science and for the development of capital markets with a clearer understanding of how the TAM model influences the behavior of millennial generation interests to become investors in the capital market.
Can AI reproduce observed chemical diversity?

Generating diverse molecules with desired chemical properties is important for drug discovery. The use of generative neural networks is promising for this task. To facilitate evaluation of generative models, this paper introduces a metric of internal chemical diversity, and raises the following challenge: can a nontrivial AI model reproduce observed internal diversity for desired molecules? To illustrate this metric, a mini-benchmark is performed with two generative models: a Reinforcement Learning model and the recently introduced ORGAN. The aim of this paper is to encourage research about internal diversity metrics.
Cameroon Green Energy Potentials: Field Survey of Production, Physico-Chemical Analyses of Palm Kernel Oil for Industrial Applications

This paper reports a field survey undertaken to determine the availability of raw material for palm kernel oil commercial production for industrial applications. Both industrial and artisanal wastes from palm kernel oil production were also surveyed as raw material (palm kernel seeds) for green energy production. Results of the field study show that 22% of palm kernel seeds (which represents tons of waste) resulting from palm oil processing plants are dumped while at the artisanal level, 80% of palm kernel seed waste is dumped. Analysis of field study data shows that large amounts of waste palm kernel seeds are available to enable large scale production of palm kernel oil (PKO) for desirable industrial applications in green energy production. The paper also reports on the physical and chemical properties of Cameroon palm kernel oil (PKO). Palm kernel oil was extracted using mechanical press and solvent extraction. The palm kernel oil (PKO) from Cameroon was analyzed by standard physico-chemical methods. Results of the physical measurements show a specific gravity of PKO of 0.92 kg/L, viscosity of 26.03 cSt and at 5.93 cSt at 40°C and 100°C respectively, viscosity index of 185, pour point of 20°C, cloud point of 29°C, flash point of 200°C, aniline point of 105°F, diesel index of 23, cetane number of 27 and ASTM (American Standards for Testing and Materials) color of less than 2.5. Results of chemical analyses showed an acid value of 17.95 mg KOH/g, free fatty acid (FFA) content of 8.98 mg KOH/g, iodine value of 2.10 mg I2/g, peroxide value of 2.10 meq/kg, ester value of 123.0 mg KOH/g, hydroxyl value of 93.4 mg OH/g, saponification value of 140.95 mg KOH/g and a sulfur content of 0.016% w/v, signifying low sulfur content. Gas chromatography-mass spectrometry (GC-MS) showed the palm kernel oil to be predominantly made up of glycerides of various fatty acids with higher proportions of C12 to C16 fatty acid residues. Cameroon PKO therefore has a broad spectrum of industrial applications by virtue of its rich physical and chemical properties.
Educating Digital Citizens on Sustainable Development Goals

The 2030 Agenda sets out seventeen Sustainable Development Goals (SDGs). The educational goal is to promote the education of citizens on sustainable development, among other things. Educating today's digital citizens on sustainability means training them for justice and social activism, commitment and political engagement. However, research into the subject shows a lack of consistency in the education of university students. This paper presents a study of students of Education, on education on sustainability through the practice of active and critical digital citizenship. A quasi-experimental method was used to learn about the behaviours of digital citizens, and intervention was carried out by means of an SDG-focused workshop and observation of the final level of commitment. The results show a positive level of commitment and digital activism around content related to sustainable development, which can be addressed from the university syllabus in a cross-curricular way.
Impact of Copper Fungicide Use in Hop Production on the Total Metal Content and Stability of Wort and Dry-Hopped Beer

Transition metals, including copper, iron, and manganese, are known to catalyze the generation of reactive oxygen species (ROS) in beer leading to reduced product stability. Metals in beer are generally derived from raw ingredients. The present study aims to evaluate the impact of brewing and dry-hopping using hops treated with copper-based fungicides (CBFs) on the final transition metal content of model buffer solutions and pilot-scale systems of wort and beer. Copper levels in model wort and beer solutions were elevated (105.6% and 230.4% increase, respectively) when CBF-treated hops were used. In laboratory-prepared wort, elevated copper concentrations were not observed when CBF-treated hops were used for boiling. Dry hopping of beer using CBF-treated hops led to significant increases in total copper content (ca. 75 µg/kg vs. ca. 40–50 µg/kg in the control-hopped beer) when yeast was absent from the treated beer, but not when yeast was present. It was observed that manganese levels were significantly elevated in all hopped beers (ca. 495–550 µg/kg vs. 90–125 µg/kg in the unhopped control), regardless of hop treatment. A hop varietal thiol, 4-Mercapto-4-methylpentan-2-one, was spiked into treated beers, and the rate of oxidative loss was monitored during aging. Rates of thiol loss in treated beer samples did not differ across CBF treatments but were significantly lower in unhopped controls in the absence of yeast (p < 0.0001) and correlated significantly with total manganese content of the beers (R2 = 0.4228, p = 0.0006). The rate of staling in hopped beers as measured by the rate of 1-hydroxyethyl radical generation did not differ among hop treatments, suggesting that excess copper content contributed from the hops does not negatively impact the oxidative stability of the beers. These findings suggest that brewers can use CBF-treated hops without any negative implications for the shelf stability of their beers and do not contraindicate the use of CBF in hops production when necessary.
Climate more important than soils for predicting forest biomass at the continental scale

Mg ha − 1 . This suggested that other non-climate, non-edaphic variables impose a substantial influence on forest aboveground biomass, particularly in the high biomass range. We conclude that climate is a strong predictor of above-ground biomass at broad spatial scales and across large environmental gradients, yet to predict forest above-ground biomass distribution under future climates, other non-climatic factors must also be identified.
Public acceptability of nudges targeting parents and children to improve children's health outcomes: results from an online experiment

There is great potential for nudges to make gains in child health through improvement of lifestyle behaviors. In this study, I use an online sample of adults to test the acceptability of two nudges (one to address teenage smoking and the other to address pediatric obesity) when targeting one of three populations: adults, parents or children. The study shows that a majority of adult respondents would accept the use of nudges aimed at parents and children. The findings show that nudging parents or children directly has the same acceptability as nudging adults. These results suggest that when the objective of a nudge is to improve children's health, it is acceptable to target parents or children themselves. These results open the door to testing the efficacy of nudges in pediatric public health.
Genes found in partial sequencing of Phytophthora cinnamomi genome

Members of the oomycete cause extensive losses in agriculture and widespread degradation in natural plant communities, being responsible for the death of thousands of trees every year. Two of the representative species are Phytophthora infestans, which causes late blight of potato, and Phytophthora cinnamomi, which causes chestnut ink disease, responsible for losses on sweet chestnut production in Europe. Genome sequencing efforts have been focused on the study of three species: P. infestans, P. sojae and P. ramorum. Phytophthora infestanshas been developed as the model specie for the genus, possessing excellent genetic and genomics resources including genetic maps, BAC libraries, and EST sequences. Our research team is trying to sequence the genome of P. cinnamomi in order to gain a better understanding of this oomycete, to study changes in plant-pathogen relationships including those resulting from climate change and trying to decrease the pathogens impact on crops and plants in natural ecosystems worldwide. We present here a preliminary report of partially sequenced genomic DNA from P. cinnamomi encoding putative protein-coding sequences and tRNAs. Database analysis reveals the presence of genes conserved in oomycetes.
In-silico analysis and homology modelling of antioxidant proteins present in Pisum sativum

In-silico analysis and homology modelling of Antioxidant Proteins Abstract Garden Peas are edible seeds that have an essential nutrient required for human diet. Peas contain phytochemicals that shows antioxidant activities. A computational approach was adopted to analyse the characteristic properties and structure of the Peas antioxidant proteins. Superoxidase dismutase (SOD), catalase, phospholipid hydroperoxide g lutathione p eroxidase-like p rotein (PHGPX) and ascorbate peroxidase (APX) are the antioxidant proteins which have been used in this study. Physiochemical properties such as isoelectric point, molecular weight, aliphatic index etc. were analysed by using the Expasy’s Prot Param server. Secondary structure of these proteins was analysed to study the functional characteristic of the protein. The crystal structure of the ascorbate peroxidase was available, but the crystal structures of other proteins were not available in any of the protein structure database. Hence the threedimensional structures of these proteins were generated using Swiss Modeller and Geno3D followed by validation through SAVES server. This analysis will provide additional help for the analysis of crystal structure for further experimentation.
Genetic diversity of
 Puccinia kuehnii
 , the causal agent of orange rust of sugarcane, from Brazil

The use of resistant genotypes is the preferred method to control orange rust of sugarcane ( Saccharum spp) caused by Puccinia kuehnii. This approach has been adopted in Brazil but outbreaks of the disease on previously resistant varieties showed that the efficacy of this method is limited and requires a better understanding of pathogen diversity. Nevertheless, adequate molecular markers for examining
Isolation and Characterization of Larvicidal Extracellular Polysaccharide (EPS) from Pseudomonas aeruginosa B01

Bacterial polysaccharides represent a diverse range of macromolecules that include capsular polysaccharides, extracellular polysaccharides (EPS) and peptidoglycan (Poli et al., 2008). The structure and the function of these polysaccharides varied widely. The EPS is International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 01 (2018) Journal homepage: http://www.ijcmas. com
Application of the Kernel Density Function for the Analysis of Regional Growth and Convergence in the Service Sector through Productivity

The aim of this research work is to analyze growth and convergence processes in the service sector and its large groups, market, and non-market services, at the regional level in Ecuador by taking the labor productivity variable as a reference. The methodology used is an analysis of distributive dynamics of the data, applying the non-parametric method of Kernel density functions from a mathematical economics approach. The results obtained show that the service sector has non-alarming levels of inequality, its trend over time is increasing. When disaggregating the data, it was observed that non-market services show a rapid growth in inequality. In contrast, market services show greater stability during the period analyzed. Regarding intra-distribution dynamics for the service sector and its subsectors, in the long term, poor regions improve, while rich regions deteriorate. However, deterioration of advanced regions is less intense in non-market services.
SUB-CLONING OF GENES ENCODINGCYTHOCHROME P450 MONOOXYGENASE (CYP71AVI) INTOEXPRESSION VECTOR IN ESCHERICHIA COLI

Objective: Cytochrome P450 monooxygenase (CYP71AVI) is a key enzyme involved in the artemisinin biosynthesis pathway.In this research, sub-cloning gene encoding CYP71AVI into pETDUET1 vector in Escherichia coli has been done and then the expression products characterized with SDS-PAGE. Methods: Gene construction started with sub-cloning of cyp71avi gene from pJexpress401_ cyp into pETDUET1 through restriction site Nde I and Xho I to get pETDUET1_ cyp . Overproduction of CYP71AVI at temperature 37 °C has conducted by IPTG induction. Result s : Confirmation of the recombinant vector pETDUET1_ cyp was done by migration, restriction site and sequencing analysis. The result of pETDUET1_ cyp restriction analysis with Xho I restriction enzyme showed one DNA band with experimental size 6585 bp.The CYP71AVI protein has been produced and characterized with SDS-PAGE method. Based on experimental calculation from SDS-PAGE analysis obtained molecular weight of CYP71AVI band was 57.55 kDa. Conclusion: Construction of gene encoding CYP71AVI into pETDUET1 as the co-expression vector in Escherichia coli has been succesfully and confirmed by migration, restriction site and sequencing analysis. The result of overproduction showed protein bands on SDS-PAGE analysis indicated as CYP71AVI.
Plant Extracts as Green Corrosion Inhibitors for Different Metal Surfaces and Corrosive Media: A Review

Natural extracts have been widely used to protect metal materials from corrosion. The efficiency of these extracts as corrosion inhibitors is commonly evaluated through electrochemical tests, which include techniques such as potentiodynamic polarization, electrochemical impedance spectroscopy, and weight loss measurement. The inhibition efficiency of different extract concentrations is a valuable indicator to obtain a clear outlook to choose an extract for a particular purpose. A complementary vision of the effectiveness of green extracts to inhibit the corrosion of metals is obtained by means of surface characterizations; atomic force microscopy, scanning electron microscopy, and X-ray photoelectron spectroscopy analysis are experimental techniques widely used for this purpose. Moreover, theoretical studies are usually addressed to elucidate the nature of the corrosion inhibitor—metal surface interactions. In addition, calculations have been employed to predict how other organic substances behave on metal surfaces and to provide experimental work with fresh proposals. This work reports a broad overview of the current state of the art research on the study of new extracts as corrosion inhibitors on metal surfaces in corrosive media. Most constituents obtained from plant extracts are adsorbed on the metal, following the Langmuir adsorption model. Electron-rich regions and heteroatoms have been found to be responsible for chemisorption on the metal surface, whereas physisorption is due to the polar regions of the inhibitor molecules. The plant extracts compiled in this work obtained corrosion inhibition efficiencies above 60%, most of them around 80–90%. The effect of concentration, extraction solvent, temperature, and immersion time were studied as well. Additional studies regarding plant extracts as corrosion inhibitors on metals are needed to produce solutions for industrial purposes.
Bi‐objective mountain railway alignment optimization incorporating seismic risk assessment

Mountain railway alignment optimization is known as a very complex engineering problem that should consider many factors, such as drastically undulating terrain, geological hazard impacts, and additional constraints. Moreover, many mountain railway projects are located in earthquake‐prone regions and hence are greatly threatened by seismic activity. Thus far, most alignment optimization studies aim at finding the least‐cost solutions within budget but slight attention has been paid to reducing the complex seismic risk through optimization. In this paper, the first known quantitative seismic risk assessment model for railway alignment optimization is presented, which combines probabilistic seismic fragility analysis and probabilistic seismic loss analysis. Three methods for fragility analysis of bridge, tunnel, and earthwork sections are designed and a specific event tree is developed for seismic loss analysis. Moreover, multiple preliminary constraints are specified for alignments traversing active faults. Afterwards, the seismic risk assessment model is combined with a least‐cost model to formulate a bi‐objective optimization model. To solve it, a particle swarm optimization algorithm is improved by blending the crowding distance computation (CDC) and, especially, a novel marginal benefit analysis (MBA) to search for pareto‐optimal solutions during optimization. A prescreening and repairing operator is also designed to handle the fault constraints. Finally, when applying the proposed procedure to a complex realistic railway case, the results show that the hybrid CDC+MBA bi‐objective solver can find better pareto‐optimal solutions than the generic CDC method. Besides, detailed data analysis shows that the present method can produce less expensive as well as safer solutions than the best alignment designed by experienced human engineers.
Corporate Diplomacy Strategy and Instruments; With a Discussion about “Corporate Diplomacy and Cyclical Dynamics of Open Innovation”

This paper delves into the manner in which some Multinational Corporations (MNCs) manage corporate diplomacy as a catalyst of their political, social, and cultural influence in foreign markets. Once the related literature is reviewed, the qualitative Focus Group technique is applied by creating two teams of nine business internationalization experts, chosen amongst university professors; representatives of institutions and organizations, such as Chambers of Commerce or embassies; MNCs’ executives and lobbyists; and high-level representatives of Spanish state diplomacy. This contribution verifies that corporate diplomacy is known and clearly distinguished from other similar functions within the company in Spain; nevertheless, it is admitted that, in the case of Spanish MNCs, the arrival of corporate diplomacy is delayed. Secondly, we present the four key instruments to exert influence and, in turn, the most necessary ones to implement corporate diplomacy strategies: networking with external stakeholders, competitive intelligence, corporate reputation, and lobbying actions. Additionally, this paper shows that some MNCs coexist with other types of diplomacy—e.g., state or political, public and commercial diplomacy, although most do not yet do so autonomously, especially the Spanish MNCs. However, MNCs foster the perception that they assume, in a certain way, the role of the nation-states. This paper’s contribution is to establish that the current cross-border relational framework requires corporations to develop a true foreign policy and acquire a diplomatic know-how to strategically manage their influence in the countries where they operate so that they can obtain a “social license to operate” and generate favorable business environments. Finally, a short discussion about possible connections between corporate diplomacy and cyclical dynamics of open innovation is included, where engagement of external stakeholders and culture understanding are the main points in common identified.
Adsorption Ability for Toxic Chromium (VI) Ions in Aqueous Solution of Some Modified Oyster Shell Types

In this paper, the chromium, Cr (VI), ion adsorption ability of oyster shell samples collected from two sea regions in Vietnam (Phu Yen province and Quang Ninh province) was investigated and compared. The oyster shell samples were calcined at different temperatures and denatured by using ethylenediaminetetraacetic acid (EDTA). The Cr (VI) ion adsorption ability of the prismatic (PP) and nacreous (NP) shell layers of oysters was also evaluated. The characteristics of oyster shell samples before and after treatment were determined by using analysis methods including XRD, IR, BET, UV-Vis, and FESEM. The Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich models and fit statistic equations were used to study the adsorption isotherms of Cr (VI) ion adsorption by oyster shells. The Cr (VI) ions adsorption kinetic has been set up using four reaction models consisting of first-order, pseudo-first-order, second-order, and pseudo-second-order reaction models. Effects of experimental factors on the Cr (VI) ion adsorption process using oyster shells were also investigated and discussed in this work.