Miracle-dz/UniFAR-FTUs huggingface dataset:
Streptomyces spp. from rhizosphere soil of maize with potential as plant growth promoter

Abstract. Wahyudi AT, Priyanto JA, Fijrina HN, Mariastuti HD, Nawangsih AA. 2019. Streptomyces spp. from rhizosphere soil of maize with potential as plant growth promoter. Biodiversitas 20: 2547-2553. Actinomycete is one group of rhizobacteria that plays an important role as a plant growth promoter. This study was aimed to evaluate the potential of Actinomycetes isolated from maize rhizosphere in promoting plant growth in vitro including their ability to produce IAA, promote maize sprout growth, solubilize phosphate, and grow in N-free medium. Thirty isolates have been isolated from maize rhizosphere using a spread plate method. All 30 isolates were probably not pathogenic to plants as tested by hypersensitivity reaction test on tobacco leaves. Based on the colorimetric assay, 30 isolates (100%) were able to produce IAA with concentrations ranging from 1.05 to 26.89 ppm. The highest concentration of IAA (26.89 ppm) produced by ARJ 21 and the lowest IAA concentration (1.05 ppm) produced by ARJ 12. By using the Ragdoll method, it showed that 9 isolates (30%) were able to promote maize sprout growth significantly on five growth parameters including primary root length, stem length, number of lateral roots, wet weight and dry weight. Twenty-one isolates (70%) were capable of solubilizing phosphate in Pikovskaya medium containing tricalcium phosphate. Also, 30 isolates (100%) were able to grow on N-free medium, suggesting their ability to fix nitrogen. Based on 16S-rRNA, five potential isolates with plant growth-promoting properties were highly similar to Streptomyces spp. Based on their potential characters, these Actinomycetes isolates have the potential to be further developed as a biofertilizer agent for sustainable maize farming.
Cardiovascular Risk Factors in Nurses Teachers

Background: Cardiovascular diseases are the main cause of death in Brazil and worldwide, being influenced by the presence of risk factors. In the current life context, these factors are increasingly present in individuals, also related to occupation, which require extensive workload, performance, reasoning, goal plan and maximum dedication from the individual, as is the case of undergraduate teachers in Brazil. Objective: To identify cardiovascular risk factors in teaching nurses of a private higher education institution (HEI) in Belém, PA, Brazil. Study Design: A cross-sectional, descriptive survey study with a quantitative approach. At a private HEI in Belém-PA, in March and April 2019. Original Research Article Sardinha et al.; CA, 9(1): 9-17, 2020; Article no.CA. 53609 10 Methodology: Performed with 11 teachers nurses that the HEI had. A form was used on the teacher's profile and risk factors. Data were analyzed by simple descriptive statistics through the Bioestat 5.0 program. Results: They are young adults, married, with an extensive workload; 45.45% of them have already had alterations in the HDL and LDL levels, with a family history of Systemic Arterial Hypertension 72.73% and Diabetes Mellitus 81.82%. 45.45% use oral contraceptives. They have a low-fiber diet, rich in lipids and sodium, and practice physical activity. 72.73% consume alcoholic beverages, and none are smokers. Conclusion: The teaching profession, due to extensive workload and stressful activities, offers a risk for inadequate nutrition, sedentary lifestyle, and lack of time for leisure. These factors are associated with other existing factors, which may increase the chances of cardiovascular diseases in these professionals.
Effect of nitrogen and potassium on plant height and stem diameter of Jatropha curcas L. in Colombian tropical dry forest

The use of raw materials of Jatropha curcas L. to produce biofuel is of increasing interest in Colombia; little information is available on this species as a crop. This research evaluated plant height (Hp) and basal stem diameter (BSD) of J. curcas as affected by different rates of nitrogen (N) and potassium (K) during the first 435 days of growth (DAP). The experiment involved a repeated measures design with inter-subject factors of fertilization (N dose, K2O dose nested in N dose) and an intra-subject factor of evaluation time. The Hp varied both as a function of N dose and the K2O dose nested in the N dose. The tallest plants were obtained with 150 kg ha-1 N and 180 kg ha-1 K2O treatment. With simultaneous confidence intervals of Bonferroni, we compared the evaluation times indicating for Hp non-overlapping intervals at 435 DAP (150 kg ha-1 N and remaining levels of this factor) and at 255 DAP (180 kg ha-1 K2O and remaining levels of this factor). The application of N fertilizers resulted in thicker stems as compared to control plants. Mathematical predictive models were obtained for Hp and BSD in J. curcas using a multiple regression analysis. These models permitted future rapid and non-invasive predictions for J. curcas growth in the field.
Industrialisation of Aluminium Foam Technology

Aluminium foam can be manufactured applying a variety of methods including direct foaming of aluminium alloy melts and advanced metal powder processing. Complexshaped foam components and 3D-shaped sandwich panels consisting of foam cores and aluminium face sheets can be produced. The application potential of these materials is discussed for various fields, namely light-weight construction, crash energy absorption and thermal or sound insulation. Four case studies are presented – a lifting arm for a lorry, a crash box for a car, an impact energy absorber for a tram and a motor bracket for a car. Such studies allow us to assess in which application fields aluminium forms perform well and in which direction future development should be directed.
Co-occurrence of Fe and P stress in natural populations of the marine diazotroph Trichodesmium

Abstract. Trichodesmium is a globally important marine microbe that provides fixed nitrogen (N) to otherwise N-limited ecosystems. In nature, nitrogen fixation is likely regulated by iron or phosphate availability, but the extent and interaction of these controls are unclear. From metaproteomics analyses using established protein biomarkers for nutrient stress, we found that iron–phosphate co-stress is the norm rather than the exception for Trichodesmium colonies in the North Atlantic Ocean. Counterintuitively, the nitrogenase enzyme was more abundant under co-stress as opposed to single nutrient stress. This is consistent with the idea that Trichodesmium has a specific physiological state during nutrient co-stress. Organic nitrogen uptake was observed and occurred simultaneously with nitrogen fixation. The quantification of the phosphate ABC transporter PstA combined with a cellular model of nutrient uptake suggested that Trichodesmium is generally confronted by the biophysical limits of membrane space and diffusion rates for iron and phosphate acquisition in the field. Colony formation may benefit nutrient acquisition from particulate and organic sources, alleviating these pressures. The results highlight that to predict the behavior of Trichodesmium, both Fe and P stress must be evaluated simultaneously.
Purchasing Decisions in Terms of Perceived Quality and Product Knowledge

The purpose of this study is to find out the Quality, Product Knowledge, and Purchase Decisions on Samsung smartphone products as well as to determine the effect of Quality Perception and Product Knowledge on Purchasing Decisions simultaneously and partially on samsung smartphone products. This study used descriptive and verification methods. The analytical method used is a multiple regression analysis method using primary data by distributing a series of questionnaires to visitors of the BEC Palace in Bandung. Samples were taken using simple random sampling with a total sample of 92 people from a population of 1025. The research results are perception of quality, product knowledge about Samsung smartphones is good, and consumers have the desire to buy Samsung smartphones as their choice. The conclusion of this research perceived that the quality of Samsung is already known to be good by consumers, consumers have a good product knowledge about Samsung smartphones, consumers also have the desire to buy Samsung smartphones as their choice, perceived quality and product knowledge have a positive influence on the purchasing decisions both partially and simultaneously. The impact of this research is to be able to implement new knowledge in the field of economics that is useful in improving and assessing marketing performance, especially for Marketing Management, to improve Product Quality Perception and to be more satisfied for the consumers so that the Purchasing Decisions can arise. This study find that Perception of Quality and Knowledge of Products had a significant effect on Purchasing Decisions both partially and simultaneously. Keywords—Quality Perception, Product Knowledge, Purchasing Decision
Rival patterns of standardization: authenticity and algorithmization in the age of globalization

In my paper, I argue that the patterns of globalization should be interpreted as a functionally enclosed structurally linked locality system whose prevailing environment is represented by the global flow of symbols. My research results suggest that authenticity and algorithmization are not rival concepts of cultural reproduction. On the contrary, different localities are able to ride the waves of globalization that combine complementary strategies of algorithmization and authenticity in a standardized form. Thus, these localities adapt to the challenges of globalization that produce and combine standardized-algorithmic and standardized-authentic patterns.
Assessing the Impact of Climate Change on Groundwater Quality of the Shallow Coastal Aquifer of Eastern Dahomey Basin, Southwestern Nigeria

Despite the increasing interest in climate change and water security, research linking climate change and groundwater quality is still at an early stage. This study explores the seasonal effect of the change in biogeochemical process for the redox-sensitive ions and metals Fe2+, Mn2+, SO42−, and NO3− to assess the groundwater quality of the shallow coastal aquifer of Eastern Dahomey Basin in southwestern Nigeria. Field physicochemical measurement of EC, pH TDS, Eh, salinity, temperature, and the static water level (SWL) was carried out on 250 shallow wells; 230 water samples were collected for analysis between June 2017 and April 2018. A spatial distribution map of these ions and metals showed an increasing concentration in the dry season water samples compared to those of the wet season. This higher concentration could be attributed to change in the intensity of hydrochemical processes such as evaporation, redox, and mineral precipitation. Results of linear regression modelling established significant relationships between SWL, SO42−, NO3−, Fe, and Eh for both wet and dry seasons with the p-value falling between 75% and 95%, which can also be seen in the plots of Eh/ORP against Fe2+, Mn2+, SO42−, and NO3−. These results revealed the influence of the redox process for both seasons, while also having a higher impact in the dry season while variation of concentration revealed decrease with increase in depth, which could be attributed to a decrease in well hydraulic properties and aeration. An Eh-pH geochemical diagram revealed NO3− as the controlling biogeochemical process over Fe in most of the sample wells. Concentrations of NO3−, Fe, and Mn are above the World Health Organization’s (WHO) standard for drinking water in most water samples. This study has established the link between climate change and groundwater quality in shallow coastal aquifers and suggested the need for strategic groundwater management policy and planning to ameliorate groundwater quality deterioration.
A Study on Load Balancing Techniques in Cloud Computing Environment

Cloud computing is a promising technology that provides new drift for computing based on shared pools of higher-level services and configurable computer system resources to rapidly provision with minimal management endeavor, frequently over the cloud. Cloud computing is to preserve the stability of processing more scalable and efficient of several jobs in the Cloud that has an extremely complex issue. Cloud Computing acquires sharing of resources and it involve resources such as servers, networks, services and storage. In cloud computing, load balancing is significant development for responsibility and processing the whole operations. The most important goal of load balancing (LB) is to balance the load equally among the nodes such that no nodes will be under loaded or overloaded. LB guarantees efficient resource utilization to customers on his demand and increase the overall performance of the Cloud computing. The general idea of load balancing is necessary considerations and requirements for implementing a suitable load balancer for cloud environments. In this paper, discuss different LB algorithms is to provide a general idea of the most recent approaches in the field. KeywordsCloud Computing, Load balancing, Ant Colony Optimization, Genetic Algorithm, Opportunistic Load
The role of independent fiscal councils in improving fiscal performance of the European Union countries

Research background: Independent fiscal councils are an example of new fiscal institutions, the number of which has rapidly increased around the world, including the EU countries since the global financial crisis of 2008–09. A further deterioration of public finance has provoked many economists to intensify disputes regarding the optimal shape, functions and effectiveness of fiscal councils responsible for promoting sound fiscal policy. Given this, a research focus on independent fiscal councils, active in the public debate in Europe, seems intellectually attractive. Purpose of the article: This article aims to explore the impact of Independent Fiscal Councils on fiscal performance, paying particular attention to their mandate, tasks and institutional models which can strengthen the achievement of fiscal discipline in the EU countries. In connection with this, the question arises about the effectiveness of fiscal councils, especially in the case of institutions that were compulsorily created under the external pressure (at the European level) and found no strong political support in national parliaments. Methods: Descriptive analysis along with panel data analysis were implemented to show the role of fiscal councils in enhancing fiscal discipline in the EU countries in years 2006–17 on the basis of data collected by the European Commission. Findings & Value added: The improvement in fiscal performance and better macroeconomic and budgetary forecasts can be achieved thanks to well-designed fiscal councils supported by appropriate fiscal rules. The conducted analysis confirms that independent fiscal councils are the useful mechanism introducing indirect social control over government revenues and expenditures. This means greater fiscal transparency and lower fiscal illusion between the government and the electorate. Due to the increase in the transparency of public finance, it is possible to reduce the ‘partisan’ deficit bias that contributes to public debt growth. The empirical research extends the existing knowledge on the role of fiscal councils and their impact on fiscal performance.
A Mobile Localization Method in Smart Indoor Environment Using Polynomial Fitting for Wireless Sensor Network

The main factor affecting the localization accuracy is nonline of sight (NLOS) error which is caused by the complicated indoor environment such as obstacles and walls. To obviously alleviate NLOS effects, a polynomial fitting-based adjusted Kalman filter (PF-AKF) method in a wireless sensor network (WSN) framework is proposed in this paper. The method employs polynomial fitting to accomplish both NLOS identification and distance prediction. Rather than employing standard deviation of all historical data as NLOS detection threshold, the proposed method identifies NLOS via deviation between fitted curve and measurements. Then, it processes the measurements with adjusted Kalman filter (AKF), conducting weighting filter in the case of NLOS condition. Simulations compare the proposed method with Kalman filter (KF), adjusted Kalman filter (AKF), and Kalman-based interacting multiple model (K-IMM) algorithms, and the results demonstrate the superior performance of the proposed method. Moreover, experimental results obtained from a real indoor environment validate the simulation results.
A Robotic Nondestructive Osteochondral Tissue Harvesting for Autograft Transplantation

Osteoarthritis is the degeneration of bone-cartilage. Healthy cartilage absorbs mechanical stress and provides smooth limb movement. Cartilage has poor healing capabilities due to the absence of blood, lymphoid tissue, and nerve that makes treatment of the damaged cartilage difficult, making surgical intervention an inevitable solution. Mosaicplasty is a popular surgical practice involving transplantation of small cylindrical bone-cartilage plugs to refill the lesion. A lack of custom-shaped donor harvesting mechanism makes it impossible to fill the lesion with a single graft. The success of transplanting a customized autograft to replace the osteochondral lesion lies in effective extraction of the autograft from the donor site. Currently, no method exists to harvest such grafts since it requires access to the root side of donor. In this paper, we propose a robotic cartilage-bone removal mechanism to harvest a custom-shaped autograft. Our method involves drilling a profile determined from the lesion to be removed and slicing off the desired cartilage-bone graft from the root. We designed a new graft removal mechanism capable of inserting a thin wire saw and slicing through the root of the prepared profile to extract an intact autograft. The device can be attached to a standard 6DOF robotic arm that can provide profile drilling and gross positioning of the graft removal device.
New listings share price behaviour on the Johannesburg Stock Exchange

The ~bjective of ~his paper is _to ? etermine the p_rice behaviour of ~ew listings on the JSE during the period 198~ 1987: T? ~. ~csuUs clea~ly md1cat~ th~t those investors who ~cqu1red new issues at the initial offering price attained s1gmf1cant short-term ? enefits m th_c. form of a new issues premium followed by an after-market perf~rmancc gcnc~a~I~ sup~o.rt1ve of an eff1~1ently opcrati~g market. Investors who acquired new issues sub~cqucnt ~o the ~mtlal_ offenng came? ~egat1~c r~turns (adiustcd for market risk as well as systematic risk) ? unng _the first ~car of mvest~cnt. ~his mvest1gat1on reveals that new issues with very large price increases 1mn:1ed1atcly su~scqucnt to theu offenng do not have returns significantly different from new issues as a whole dunng _the penod up to one ~ear following the listing. Investors in the secondary market, on balance, overestimated the return potential and/or underestimated the risk characteristics of new listings on the JSE.
Natural scene text localization using edge color signature

Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using different scales of theinput image is created. Then for each level of the pyramid an edge map is extracted. Afterward,several geometric features are employed to lter out the non-text edges from the extracted edges.At this stage we describe an edge using colors of its neighboring pixels. We use the mean-Shiftalgorithm to obtain the color modes surrounding each edge pixel. Subsequently, the connectededge pixels with similar color signatures are clustered using Single-Linkage clustering algorithm toconstruct meaningful groups. Finally, each of the clusters is labeled as text or non-text using anMLP based cascade classi er. The proposed method has been evaluated on well-known ICDAR 2013and our Farsi dataset, the result is very promising.
INSTITUTIONAL DISTANCE AND COLONIAL TIE 1 OUT OF AFRICA: THE ROLE OF INSTITUTIONAL DISTANCE AND HOST- HOME COLONIAL TIE IN SOUTH AFRICAN FIRMS’ POST-ACQUISITION LONG-TERM OPERATING PERFORMANCE IN DEVELOPED ECONOMIES

The colonial ties and institutional distance affect the cross-border acquisition performance of internationalizing South African firms who acquire targets in developed economies. Along with these main effects, this paper examines the moderating effect of the colonial tie on the effects of institutional distance on post-acquisition long-term operating performance. Using data on South African acquisitions in developed economies, this study finds that the colonial tie has a negative impact on the long-term operating performance of South African acquirers. Yet, the colonial tie also moderates the effects of institutional distance. This work contributes to the discussion on host-home country institutional distance and its impact on postacquisition long-term operating performance and how colonial past can influence the performance of acquirers from South Africa and other such countries with colonial history.
Design of a Wideband L-Shape Fed Microstrip Patch Antenna Backed by Conductor Plane for Medical Body Area Network

This paper describes a compact patch antenna intended for medical body area network. The antenna is fed using a proximity coupling scheme to support the antenna that radiates in the free space and on the human body at the 2.45 GHz ISM band. The conductor plane is placed 2 mm or 0. 0163λ0 (λ0 is free space wavelength at 2.45 GHz) below the antenna to reduce backward radiation to the human body. Separation distance must be kept above 2 mm, otherwise, gain of the proposed antenna decreases when antenna is situated on the human body. The L-shape feed line is introduced to overcome impedance mismatch caused by the compact structure. The coupling gap between the proposed antenna and the length of the L-shape feed line are optimized to generate dual resonances mode for wide impedance bandwidth. Simulation results show that specific absorption rate (SAR) of the proposed antenna with L-shape feed line is lower than conventional patch antenna with direct microstrip feed line. The proposed antenna achieves impedance bandwidth of 120 MHz (4.89%) at the center frequency of 2.45 GHz. The maximum gain in the broadside direction is 6.2 dBi in simulation and 5.09 dBi in measurement for antenna in the free space. Wide impedance bandwidth and radiation patterns insensitive to the presence of human body are achieved, which meets the requirement of IoT-based wearable sensor.