Miracle-dz/UniFAR-FTUs huggingface dataset:
Phyto-mediated silver nanoparticles via Mellisa officinalis aqueous and methanolic extracts: synthesis, characterization and biological properties

The aim of the study was to examine the influence of extraction method on the size, shape and morphology of synthesized silver nanoparticles (AgNPs). Silver nanoparticles were prepared by the aqueous and methanolic extracts of lemon balm. The properties of obtained nanoparticles were characterized by UV-Vis, SEM, XRD and FTIR techniques. The UV-Vis spectroscopy confirmed the formation of AgNPs by observing a distinct surface Plasmon resonance band around 450 nm. SEM images showed different shape, size and morphology of AgNPs using two different extracts types. AgNPs derived from the aqueous extract were rod-shaped with a diameter of 19 to 40 nm whereas spherical particles were synthesized by the methanolic extract found smaller with size distribution ranging from 13 to 35 nm. The XRD pattern indicated that AgNPs formed by the reduction of Ag + ions using methanolic extract of M. officinalis were crystal-like in nature. The functional groups of M. officinalis methanolic extract involved in synthesis and stabilization of AgNPs were investigated by FTIR. In addition, AgNPs-containing methanolic extract showed higher antioxidant activity. These particles exhibited remarkable antimicrobial activity against gram positive and negative bacteria and a fungus. The nanoparticles produced by the methanolic extract of the lemon balm showed antioxidant and antimicrobial activity. The production of silver nanoparticles using plant extract is rapid, low cost and eco-friendly. Therefore, green chemistry is a good alternative to industrial production of nanoparticles. Silver nanoparticles can be used as an antiseptic to sterilize the surrounding area and the hospital wastes.
Variación espacio-temporal de macroinvertebrados acuáticos en la Lindosa, Guayana colombiana

Spatio-temporal variation of the aquatic macroinvertebrates in La Lindosa, Colombian Guiana. Introduction: Describing biodiversity patterns and the underlying drivers is relevant for tackling the rampant pressures on tropical freshwaters. This is particularly relevant in scarcely studied regions, such as in the Colombian Guiana shield. Objective: To describe the taxonomic and functional structure of macroinvertebrate communities and assess their variability across spatial and temporal scales. Methods: We sampled the invertebrate communities in four streams during the dry seasons of 2017 and 2018. Additionally, we assessed diversity patterns within and among streams and between different sampling months in one stream. To assess diversity patterns, we compared alpha (differences in taxon richness and abundance within communities) and beta (differences in taxon composition among communities) diversity patterns among and within rivers. Alpha diversity was estimated using the numbers of Hill, while beta diversity was estimated using the Sørensen and Morisita-Horn indices and compared using a similarities analysis (ANOSIM). Results: The taxon composition of the communities was different within (mesohabitat scale) and among streams (regional scale). However, the composition of FFGs changed among but not within streams. The comparison of the numbers of Hill and the taxon composition suggested that the mesohabitat type is a determining factor of the taxonomic but not FFG diversity across scales. At the temporal scale, alpha diversity was low for months with high precipitation (February-April) and high for the dry season (January). The temporal beta diversity was high among sampling periods, being nestedness processes driving beta diversity among years and turnover processes driving beta diversity within years. Conclusion: Streams from Serranía de la Lindosa host a high diversity of freshwater macroinvertebrates. Seasonality and differences in the in-stream habitat heterogeneity seem to determine the diversity patterns observed at different temporal and spatial scales. A deeper study is needed to understand the functioning of these ecosystems and improve the ability to generate management and conservation strategies.
Chemical constituents from flowers of Rosa chinensis

Objective To study the chemical constituents from the flowers of Rosa chinensis.Methods Column chromatography on silica gel,RP-C18,and Sephadex LH-20 column were used to separate and purify the chemical constituents in the EtOAc and n-BuOH fractions of the 95% ethanol extract.Their structures were elucidated by physicochemical properties and spectroscopic analyses.Results Fourteen compounds were obtained and identified as phenolic acids and flavonoids.These compounds were succinic acid(1),methyl succinate(2),ethyl gallate(3),protoatechuic acid(4),vanilllic acid(5),shikimic acid(6),methyl 3-O-(β-D-glucopyranosyl) gallate(7),benzyl 6′-O-galloyl-β-D-glucopyranoside(8),phenylethyl 6′-O-galloyl-β-D-glucopyranoside(9),catechol(10),hypericin(11),kaempferol-3-O-α-L-arabinopyranoside(12),kaempferol-3-O-β-D-glucopyranoside(13),and pinocembrin-7-O-β-Dglucopyranoside(14). Conclusion The fourteen compounds are isolated from the plant for the first time.
Factor Analysis of Using Social Media in Tourism Enterprises for Competitiveness

Social media is the “mega trend” on the digital platform for connecting, participating, communicating and sharing information among users and being using as a tool to support tourism enterprises to raise efficiency and competitiveness in the tourism industry. The objective of this paper is to analyses the factors that affect the use of social media in tourism enterprises for competitiveness in Thailand. This study has a mix method of a quantitative approach which collected information from a questionnaire of 490 tourism enterprises in five major tourism cities and a qualitative approach which collected data from interviews. The results found that, there were eight factors (provide information, contact customer, marketing, feedback, build network, brand building, increase income and customer engagement) of using social media in tourism enterprises for gain competiveness. The highest score is provided information ( x̄ =3.88, S.D. =1.12), second engaging with customers (x̄ =3.69, S.D. =1.18) and third marketing ( x̄ =3.68, S.D. =1.16). The confirmatory factory analysis found that the highest loading factor of build customer network (b=1.13), second customer engagement (b=1.07), third marketing (b=1.05) and finally provide information (b=0.91) respectively. Therefore, the variance of use of social media in the tourism enterprises was 84.60%, 75.20% and 81.30% respectively. The statistical significance of the of fitness indices are 20.31, df =14, p-vale =0.12081, RMSEA=0.030. Finally, the results of interviews found that social media use in tourism enterprise for providing information, customer engagement and a reduction of business operation costs. Manuscript received August 29, 2019; revised January 3, 2020. This work was supported by The Thailand Research Fund (TRF) which provided the budget to conduct this research Grant no. RDG 5550033. Pannee Suanpang is with Suan Dusit University, Thailand (e-mail: dtechpannee@yahoo.com). doi: 10.18178/ijimt.2020. 11.1. 871 International Journal of Innovation, Management and Technology, Vol. 11, No. 1, February 2020
Tanulásiráta-módszer full-batch gradiens-tanulásra

In this paper, we present a learning rate method for gradient descent using only first order information. This method requires no manual tuning of the learning rate. We applied this method on a linear neural network built from scratch, along with the full-batch gradient descent, where we calculated the gradients for the whole dataset to perform one parameter update. We tested the method on a moderate sized dataset of housing information and compared the result with that of the Adam optimizer used with a sequential neural network model from Keras. The comparison shows that our method finds the minimum in a much fewer number of epochs than does Adam.
The Influence Social Media, Product Quality and Price Perception on Culinary Product Purchase Decisions in the Era of Pandemic Covid-19

In the era of digital technology that continues to develop, the world is moving towards transactions with a very positive approach. Over the last two decades, digitization has revolutionized not only consumer marketing but also industrial marketing. The effect of digital marketing communication on product categories such as books, music, fashion accessories, clothing, banking and online games has been well researched by researchers, but research on culinary product categories is still limited. This study aims to explain the influence of social media, product quality and price perceptions on purchasing decisions for culinary products in the City of Yogyaikarta. The sample used was 100 respondents who were taken by accidental sampling technique. The collected data were then analyzed using multiple linear regression methods. The results showed that social media had an effect on purchasing decisions for culinary products in the city of Yogyakarta. Likewise, product quality and price perceptions also influence purchasing decisions. This is indicated by the t test with a significance value of 0.034 for social media, 0.026 for product quality and 0.000 for price perception. Thus H1, H2 and H3 are statistically supported. The adjusted R2 value is 0.672 which indicates that 67.2% of purchasing decisions can be explained by the influence of social media, product quality and price perception, while the remaining 22.8% is influenced by other variables not included in this model.
Inequity of Health-Income Effect in employ workers in China: a longitudinal study from China Family Panel Survey(2012-18)

Background Analyses using classical regression models show that health has significant impact on income. However, in the case of widening income gap, estimating the average effect of health on income would aggregate the inequality of health-income effect for poor workers. Methods Data came from four waves of China Family Panel Survey data from 2012 to 2018. We generalized a balance panel data including worker characteristics, job information and health status. The final sample of our study includes 19,540 person-year observations aged between 18 to 70 years. Panel Quantile Regression method was used to analyse the effect of health on income for workers under different income distribution.Results The regression estimates show that the effects of health on income are larger at 25th and 50th quantile of distributions, 21% and 16.9% respectively. We test the robustness by the heterogeneity of workers’ gender and register living regions, find that health is more important for female workers and rural workers. Last, we find that workers who participated in manual labour were more dependent on their health than those involved in brain work. Conclusions Our findings suggest that the inequality of health-income effect would underestimate the importance of health for lower income workers, especially for poor female and rural ones. In addition, we also find that the mechanism of reduced income effect due to the difference of the employment type.
Faktor-Faktor Yang Mempengaruhi Penggunaan Aplikasi Belanja Online Pada Masyarakat Indonesia(Studi Empiris Pada E-Commerce Indonesia)

Being the ongoing fad for enterprises to manage business, mobile shopping offers superior dominance over electronic shopping and traditional shopping. This paper aims to elaborate both the motive of mobile shopping response according to the theory of reasoned action (TRA) point of view and the promotion barriers in mobile business. A selfconducted survey data of 325 Indonesian consumers is led to build and apply a structural equation modeling approach with inherent constructs. Through the result of this study, the predictive power of TRA has been proven in scouting consumer response in the context of mobile shopping. In addition, the intention to adopt mobile shopping is strongly impacted by both promotion and barrier variables. Some benefits could emerge for future studies from investigating other variables (e.g. trust and risk specific aspects) and using ongoing response (e.g. online purchase). Both promotion and barrier factors should be kept under surveillance by business managers for better understanding about why and how Indonesians adopt mobile shopping. The founding study attune the TRA model with augmented promotion and barrier variables to describe mobile shopping in the context of Indonesia.
Design and Implementation of an Intelligent Risk Control Platform Based on Big Data 

: Financial security is a key aspect of national security and controlling financial risk is a fundamental task within financial management. To help banks accelerate the establishment of risk control platforms in the era of the digital economy, this study proposes an overall framework for an intelligent risk control platform with “five layers and two domains,” based on the key technologies of big data. Specifically, the framework consists of a risk data layer, a feature computing layer, a risk model layer, a decision engine layer, and a business access layer, all of which are loosely coupled, stateless, and extensible. Horizontally, the framework can be divided into a production deployment domain and a business operation domain, which considers both the stability of system operation and the flexibility of business applications. This design is helpful for commercial banks to realize unified governance and management of risk data. While ensuring the efficient and stable operation of the risk control platform, it can also provide sufficient support to experts in risk control operations, data analysis, model design, and rule adjustment. Finally, using the intelligent risk control platform, deployed by a financial institution as an example, this study expounds on the application situation and practical impact of the platform and provides some suggestions.
X-Ray Diffraction and the Identification and Analysis of Clay Minerals.

standard thermodynamic treatments lead to the energetics of transfornaations involving both Fe and Mn and to the concept of stability diagrams. This is followed by a consideration of the solubility of iron oxides from the perspective of a 'standard state' and, from a practical perspective, an important discussion of the effects of various 'perturbations' to the standard state. These include complexation, redox processes, ionic strength and solid-state properties such as particle size, ageing and isomorphous substitution factors which are often ignored in standard chemical treatments. The iron oxides now represent an important group of compounds for work on surface properties, both ion adsorption and colloidal stability, because of the amount of detailed information available on their surface composition and structure. A number of examples are given which illustrate well the complementary nature of essentially thermodynamic treatments, such as the measurement of adsorption isotherms, and the molecular or mechanistic perspectives yielded by molecular spectroscopy, such as IR absorption spectroscopy. The section then closes with a discussion of dissolution processes which provides a valuable bridge into the final section dealing with formation, transformation and occurrence of iron oxides in a range of terrestrial (and extra-terrestrial! ) environments. The chapter dealing with the formation of iron oxides builds on a valuable diagram illustrating the pathways of formation of various iron oxides from both the Fe(II) and Fe(III) aqueous systems. These pathways are illustrated with the aid of a number of well-chosen references from the literature and from their own extensive publications in this area. The authors then build on these concepts and relationships to discuss transformations and occurrences in lithogenic and pedogenic environments before entering into the final three chapters on the 'undesirable iron oxides' formed by corrosion, industrial applications as pigments, magnetic coatings and catalysts and, finally, a valuable summary of industrial and laboratory synthesis of various oxides. In conclusion, it has to be said that the authors have succeeded in their ambitious project to provide in one volume an integrated view of the iron oxides and there is little doubt that it will indeed "be of use to these representatives of extremely diverse fields who are linked by their common interest in this fascinating group of compounds".
Comparison of Efficacy of Alginate Filler Dressings with Conventional Saline Dressings for Cavity Wounds in Diabetic Foot Ulcer- A Prospective Cohort Study

Introduction: Diabetic foot ulcers are associated with 25% of patients with Diabetes Mellitus (DM). These diabetic foot ulcers if not given appropriate care at the right time can lead to amputations and poor quality of life. Alginate dressings are newer and help in faster healing of cavity wounds in diabetic foot ulcer. Aim: To compare the advantages of alginate dressings over conventional saline dressings in cavity wounds of diabetic foot ulcer patients. Materials and Methods: A single centre prospective longitudinal cohort study was conducted on 88 patients with diabetic foot ulcers randomising equally into two groups containing 44 patients in each group in a tertiary care hospital. The wounds of all patients included in the study were thoroughly debrided and initial assessment was done using the Pressure Ulcer Scale for Healing (PUSH) scoring system. The patients were started on alginate dressings in one group and saline dressings in other group and were assessed after two and four weeks. The reduction in the surface area of the wound, reduction in the exudate amount, type of the tissue over the ulcer and reduction in the bacterial load (wound cultures) of the ulcers were studied. The statistical analysis were done using Statistical Package for the Social Sciences (SPSS) software version 21. The statistics were done using independent sample tests (Levene’s test for equality of variances and t-test for equality of means), Mann-Whitney test and Wilcoxon test. Results: The results of wound assessment before dressings, at two weeks and at the end of four weeks are as follows: The mean (SD) reduction in wound surface area was 9.07 (1.634) to 6.89 (1.434) to 4.68 (1.272) for alginate group and 9.25 (2.059) to 8.00 (1.905) to 6.50 (1.650) for saline group. The mean (SD) reduction of the exudate amount was 2.02 (0.505) to 1.09 (0.473) to 0.14 (0.347) for alginate group and 1.98 (0.590) to 1.43 (0.625) to 0.75 (0.615) for the saline group. The mean (SD) for tissue type of cavity wounds assessed via PUSH scoring was reduced from 2.30 (0.701) to 0.16 (0.370) for the alginate group in comparison to 2.32 (0.740) to 0.77 (0.743) for the saline group at the end of four weeks. On evaluation of the wound cultures; 6 out of 44 patients (13.6%) were culture positive in the alginate group while 30 out of 44 patients (68.2%) were culture positive from the saline group at the end of four weeks. All the above results were statistically significant with a p-value of 0.001. Conclusion: Alginates dressings are superior to saline dressings in terms of reduction in the size of the ulcer and control of microbial activity in diabetic foot. Alginate absorbs large amount of exudates and fill in irregular shaped cavities which are ideal in treating cavity wounds in diabetic foot syndrome.
INNOVATION ECONOMY MANAGEMENT AS A FACTOR OF NATIONAL SECURITY

As a result of the conducted study, there has been solved an important scientific problem of development of theoretical and methodological foundations of building international competitiveness in the conditions of globalization of innovation activity and creation of organizational and economic tools for support of national innovation system safety in global scientific and technological space. It has been established that innovation activity in Poland is characterized by structural deformation, institutional incompleteness, inconsistency and imbalance of technological, economic, social and value aspects, as a result of which innovation processes in the country have not gained sufficient scale and are not a significant factor of GDP growth. Problems of development of national innovation systems in Poland are caused, first of all, by an unsatisfactory state of financing of the scientific sphere, as a result of which the country has lost the system capable to effectively concentrate resources on priority strategic directions of innovation development. Based on a comparative economic and mathematical analysis of the impact of variables that determine the degree of inclusion of the country in global value chains, as well as diagnostics of the competitive environment of some countries, it has been stated that, except for IT, today Poland has no competitive advantages and preconditions for inclusion in global value chains. Considering the importance of the human development index, the Chinese model of innovation development is most acceptable for the country. Considering that in addition to the financial component, one of the main reasons for slowing down innovation activity in Poland is the lack of effective links between government, business and science, there has been justified the need to develop a government innovation policy based on a combination of direct and indirect methods of innovation support. There has been stressed the importance of building a common information and scientific space with Europe, which is possible in the conditions of creation of an open national innovation system.
Digital mapping of solonchak complexes using Sentinel-2A data

Land salinization is an up-to-date issue being broadly studied all over the world. In Russia, salinization processes are predominantly observed in the southern regions, where the main areas of arable land are situated. This research is devoted to mapping of saline lands with the help of satellite data. The study was performed on a 100-hectare plot in the Trans-Ural steppe zone (Republic of Bashkortostan, Russia). A correlation was determined between the level of soil salinity and the main spectral indices associated with Sentinel-2A satellite data. Regression models used 5 salinity indices, vegetation index NDVI, and values of soil conductivity. Linear, quadratic, and logarithmic functions were used. By calculation, the salinity index 5 (G×R)/B demonstrated the best correlation values with the salinity level of (R=0.88, R2=0.77) while using the quadratic function. The vegetation index NDVI revealed no correlation, owing to the poor development or dried-up condition of vegetation. On the basis of the developed regression models, salinity maps are drawn, in which the areas of solonchak complexes are defined.