Miracle-dz/UniFAR-FTUs huggingface dataset:
Photovoltaic power generation data filling model based on tensor decomposition

With the development of new energy and the increase in demand, photovoltaic power generation has received more and more attention. However, due to the susceptibility of photovoltaic power generation to the influence of weather factors, especially the influence of solar irradiation, it is intermittent and fluctuating. Understanding the power generation data of a PV plant has a great effect on the subsequent photovoltaic power generation planning and photovoltaic power plant situation assessment. However, these data are often incompletely recorded due to frequent communication problems or equipment failures. Most current studies focus on photovoltaic power generation predictions, it is still a challenge to speculate the missing data around photovoltaic power plants. In this paper, a context-sensitive tensor decomposition model is proposed to intelligently fill the missing power generation entries. The experimental results show that our model can effectively fill missing data and obtain good results.
Effect of Foreign Private Investment on the Development of Small and Medium Enterprises in Nigeria

This study sought to examine the effect of foreign private investment on the development of small and medium scale enterprises (SME’s) in Nigeria. The study adopted a longitudinal research design which made the use of secondary data imperative. The study employed data on the foreign private investments and development of SMEs in Nigeria covering 1991-2018. The variables used are Net Foreign direct investment, Net Foreign Portfolio investment, percentage of foreign direct investment in Gross Domestic Product (GDP), and development of SMEs in Nigeria. The technique adopted in this study is multiple regressions to test the hypotheses. E-view econometric software 3:1 was used for the analysis. The result revealed that the value of Foreign Direct Investment (FDI) and Foreign Portfolio Investment (FPI) have a negative relationship with the development of SME’s and Foreign Direct Investment (FDI) in the percentage of gross domestic product and exchange rate have a negative and significant impact on the development of SME’s in Nigeria. It was recommended among others that government should increase its funding of small and medium scale enterprises, SME’s should be encouraged to go on public offer to expand the scope of funds, the exchange rate must be strengthened to encourage SME’s to attract funds and the needs to stabilized the economy to discourage divestment.
Seasonal Carbohydrate and Proline Allocation Patterns in Cyclamen graecum Link

: This work is based on the study of the above-and below-ground tissues collected throughout a year, of the autumn-flowering geophyte Cyclamen graecum Link (Primulaceae). The geophytes are life forms that include underground storage organ reserves that support the initiation of leaf growth and flowering; their buds, resposible for their annual growth, remain protected below the soil surface on an underground perennial organ and their growing and flowering period alternates with a period of dormancy. The purpose of this study is to estimate the seasonal fluctuation of sugars, starch and proline that contribute to the adaptation of C. graecum to the Mediterranean ecosystem. Α considerable amount of substances are allocated to leaves via transfer from root resources, photosynthates and senescing inflorescences. The total sugar content was determined using a modified phenol-sulphuric acid method. Quantitative determination of starch content was accomplished in sugar-free aliquots of dried tissues, which were solubilized in perchloric acid and the starch content was estimated using a modified anthrone method. Proline content was determined with acid-ninhydrin method. The above ground tissues of C. graecum that are exposed to ambient environmental conditions may exhibit seasonal responses to abiotic stresses. Ιt seems likely that monthly fluctuations of proline accumulation, sugars and starch content obtained in the above-and below-ground tissues of C. graecum coincide with the distinct seasonality of the ecosystem. The highest sugar content, among the considered plant parts, was detected in the tubers, whereas the lowest in peduncles and petals in late autumn. Relatively elevated sugar content was detected in the leaves from December to April, probably associated with constraints of the vegetative growth of this species. Throughout the flowering period of C. graecum (September-December), similar trends of sugar content were detected between petals and peduncles. Starch is stored in tubers and leaves of C. graecum and the elevated values from March to April coincide with elevated photosynthetic rates. The accumulation of sugars and proline in petals from September to December may result to a reduction of their osmotic potential, which is expected to maintain their turgor and avoid the harmful effect of the cold period. Additionally, the pronounced proline accumulation in expanded leaves of C. graecum from November to April indicates the protective role of proline in tissues exposed to ambient environmental conditions.
Effects of Different Water Supply and Corm Planting Density on Crocin, Picrocrocin and Safranal, Nitrogen Uptake and Water Use Efficiency of Saffron Grown in Semi-Arid Region

Saffron’s color, taste and odor result from the chemicals crocin, picrocrocin and safranal, respectively. Hence, in addition to quantitative yield, secondary metabolites content are known as crucial factors for a successful saffron production. Moreover, enhancing resources efficiency, especially water and nitrogen, is becoming increasingly important for agricultural improvement in arid and semi-arid regions. Thus, the effects of irrigation levels and corm planting on crocin, picrocrocin and safranal content, water use efficiency (WUE) as well as nitrogen use efficiency (NUE) of saffron were investigated as a two-year field experiment based on a randomized complete block design arranged in split-plot with three replicates. The irrigation levels (100, 75 and 50% of saffron water requirement) and corm planting pattern (50, 100, 200 and 300 corms m -2 ) were allocated to main and sub-plots, respectively. Based on the results, crocin and picrocrocin content increased with decreasing irrigation levels. The highest WUE S (WUE based on dry stigma yield) was obtained when 50% of saffron water requirement was supplied. However, the lowest WUE C (WUE based on daughter corms yield) and NUE C (NUE based on daughter corms yield) were obtained when 50% of saffron water requirement was applied. Irrespective of irrigation levels, WUE S , WUE C and NUE C increased with increasing the planting density. The results demonstrated that although relatively severe water stress increases WUE S and secondary metabolites in saffron stigmas, it could decrease WUE C and NUE C through affecting daughter corm growth.
Analysis of components of volatile oils of lonicera and heated VOL and comparison of their anti-inflammatory activities

Objectice:To compare the chemical components of CO2-SFE Volatile Oils of Lonicera(VOL) and the heated VOL and to evaluate their inflammatory activities.Methods: The VOL was isolated by CO2-SFE;The VOL was divided into two parts: one part was stored at room temperature,and another part was heated at 80 ℃ for 5 hours.Then their chemical components determined by GC-MS analysis.Their anti-inflammatory activities were evaluated on the ear edema model in mice.Results: There were marked differences in either the chemical components or anti-inflammatory effects for the two kinds of VOLs.The threshold effective dose of anti-inflammatory action of the unheated VOL was 0.4 mg/kg,but the heated VOL exerted no anti-inflammatory effect.Conclusion: Heating can destruct the anti-inflammation-effective components in the VOL.
The effect of the thrombolytic therapy on the early rehabilitation of patients with acute ischemic stroke – study report

Abstract Introduction. r-TPA intravenous thrombolytic therapy is a big step in acute management of ischemic stroke (IS) but is burdened by a small therapeutic window (max. 4.5 hours) that restricts patient access. NIH stroke scale (NIHSS) is the largest worldwide tool used by doctors in order to objectively quantify the severity of neurological impairment in acute IS, in the initial stage as well as in the subsequent stages. Material and method. The aim of this paper is to present the results of an observational, prospective, analytical study on a number of 110 patients with acute IS, hospitalized within two months in the Neurology Clinic of Sibiu (19 patients with thrombolytic therapy applied, 91 patients with classic therapy). NIHSS has been applied to all patients on the first day of the admission and at the discharge date. Results and discussions. The mean value of NIHSS at admission and at discharge (A/D) were 12,84/4.06 points for the patient with thrombolytic therapy and 7,73/4,45 points for the patients without thrombolytic therapy. In hospital NIHSS score reduction, meaning early recovery of patients, was consistent with type of applied therapy (8.78 vs3.28 points). The pattern of neurological impairment is specific for each subtype of IS. Conclusions. The degree of early recovery was superior for patients with versus without thrombolytic therapy (68.4% versus 42.4%). Average hospital care period was reduced with 8,33% for patients with thrombolytic therapy (11,4 versus 12,2 days care in hospital).
The Effect of Principal Policy on Teachers’ Professional Commitments and Its Impact on Learning Effectiveness in Vocational Schools

This study aims to build a model of causality that consists of a structural model and a measurement model in the form of a path diagram based on the theoretical justification of the principal's policy variables, professional commitment, and learning effectiveness. The population of this study was 338 certified teachers of State Vocational Schools in Padangsidimpuan. Sampling was carried out proportionally with a sample of 200 people. This research instrument was a questionnaire to collect data on principal policies on professional commitment and learning effectiveness. The data obtained were analyzed by SEM method using Amos. The results showed that: (1) there was a positive effect of the principal's policy on professional commitment by 0.706 or 49.84%. (2) there is a positive effect of professional commitment on the effectiveness of learning by 0.791 or 62.56%. and (3) there is a positive influence of the principal's policy through professional commitment to the effectiveness of learning by 0.935 or 87.42%. The results of the above studies can confirm the conclusions of previous studies.
BODIPY-based conjugated microporous polymers as reusable heterogeneous photosensitisers in a photochemical flow reactor

BODIPY-based conjugated microporous polymers (BDP_CMP and PHTT_BDP) have been synthesised via two distinct methods of assembly: high-yielding Suzuki–Miyaura cross-coupling of BODIPY-containing building blocks, and post-synthetic conversion of an aldehyde-equipped CMP host that was synthesised in the absence of metal-based catalysts. Both approaches yielded BODIPY-based materials featuring a high BET surface area (484–769 m2 g−1) and a bathochromic shift in the maximum light absorbance (520–550 nm). Singlet oxygen production employing the BODIPY-based materials at 530 nm was carried out heterogeneously in a commercial photochemical flow reactor.
Student’s Perceptions on the Effects of R Language in Improving ICT Literacy

R is the S language paid software (S-PLUS) to process and present the data into the form of graphs, and data analysis. R has a complete and reliable feature. The legal liability factor is no longer a concern in its use for free. To improve their knowledge, an Interactive learning media must gained by the students. Students’ ICT literacy is considered by the students perception toward interactive learning media. This study aims to assign student’s perceptions to use R language for statistics. Student’s achievement is demanded from their perceptions. Studnts’ desire will be motivated from the learning media choosen. This research is qualitative data analysis was done descriptively. The subject of this study were 176 students. The data obtained from the questionnaire and interview as well as the researchers as key instrument. The results are student’s perceptions of using R language lab for statistics subject are in a positive category to improve ICT literacy. Finally, it is highly recommended to implement tests on ICT competency and check if student organizations are compatible with what they can do with technology.
Influencing Factors of Plastic Waste Pollution Reduction in Kinshasa

Plastic products, e.g., plastic bags, plastic bottles, and other plastic materials are widely used in people’s daily life and industrial production worldwide since they are cheap, easy to get, and convenient for all-purpose of transportation or movement. The wide application of plastic products also brings a lot of problems. The significant adverse consequences include plastic waste pollution and waste of resources, which pose a high threat to social development and environmental protection. In this research, a social survey involving 267 people was conducted to examine how certain factors reduce plastic waste pollution in Kinshasa. Statistical Product and Service Solutions were employed to analyze the data gathered from the survey. The results indicate that all the factors or strategies for reducing plastic waste pollution have a significant positive impact on plastic waste pollution reduction. The environmental factors have the highest contribution to the control of plastic waste pollution with an impact of 88.8%, followed by Government policy with an impact of 42.3%. Economic factors have the least impact contribution, with an impact of 36.0%. This finding and conclusion could be used as a framework for implementing plastic waste pollution management strategies or developing waste management systems.
Topmodpy: A Simple Python Script for Topic Modeling

Subjective assessment is rampant in literature verification and title evaluation. While subjective assessment is a valid practice but creates a void in terms of validity of results. Intuition is unique and tend to depend on several other aspects which are not methodological. As a result of which, there may be a possibility of unreasonable yet unfair amount of personal opinion in action. Natural Language Processing (NLP) offers robust mechanisms or techniques to evaluate unstructured data. Latent Dirichlet Allocation (LDA) is one of such techniques which adds logic while processing unstructured but subjective data. This article explains suitability of topmodpy to perform Latent Semantic Analysis (LSA) using Latent Dirichlet Allocation (LDA). topmopy is a Python script and is a collection of 12 different functions each with a unique aim. This article shows as how to use topmopy module on certain data collected using a valid search criteria. topmodpy module found to have obtained these latent constructs related to search criteria. Hence the efficacy of the topmodpy module has been proved.
INXU - A Security Extension for RFC 8520 to Give Fast Response to New Vulnerabilities on Domestic IoT Networks

As domestic Internet of Things (DIoT) devices become more popular, the number of devices connected to the Internet increases. It may also represent a risk to the end-user’s security and privacy. The infected devices can be used in DIoT botnets affecting the Internet’s stability. Although there are efforts to enhance IoT security, such as RFC 8520, there still needs for improvements in the DIoT context. To ensure DIoT security, this paper proposes INXU, an extension of RFC 8520 that enables blocking traffic related to well-known malicious activities. INXU introduces the concept of Malicious Traffic Description, a data model to describe traffic related to malicious activities, and enables Security Operation Centers to protect domestic networks.
Type Ia supernovae deflagration-to-detonation transition explosions powered by the Zel’dovich reactivity gradient mechanism

Our aim in this work is to identify and explain the necessary conditions required for an energetic explosion of a Chandrasekhar-mass white dwarf. We construct and analyse weakly compressible turbulence models with nuclear burning effects for carbon/oxygen plasma at a density expected for the deflagration-to-detonation transition (DDT) to occur. We observe the formation of carbon deflagrations and transient carbon detonations at early times. As turbulence becomes increasingly inhomogeneous, sustained carbon detonations are initiated by the Zel’dovich reactivity gradient mechanism. The fuel is suitably preconditioned by the action of compressive turbulent modes with wavelength comparable to the size of resolved turbulent eddies; no acoustic wave is involved in this process. Oxygen detonations are initiated, aided either by reactivity gradients or by collisions of carbon detonations. The observed evolutionary time-scales are found to be sufficiently short for the above process to occur in the expanding, centrally ignited massive white dwarf. The inhomogeneous conditions produced prior to the DDT might be of consequence for the chemical composition of the outer ejecta regions of Type Ia supernovae from the single degenerate channel, and offer the potential for validation of the proposed model.
A Radiopaque Nanoparticle-Based Ink Using PolyJet 3D Printing for Medical Applications.

The aim of this study was to develop a 3D printable radiopaque ink and successfully print a finished artifact. Radiopaque 3D printing would be hugely beneficial to improve the visibility of medical devices and implants, as well as allowing more realistic phantoms and calibration aids to be produced. Most 3D printing technologies are polymer based. Polymers are naturally radiolucent, allowing X-rays to pass through, showing up as faint dark gray regions on X-ray detectors, as for soft tissues. During this study, a 3D printable ultraviolet (UV) curable resin containing zirconium oxide (ZrO2) nanoparticles was developed. 5 wt. % ZrO2 was dispersed in a base resin using a high-shear mixer. Particles remained in suspension for 6-8 h at room temperature, allowing time for 3D printing. A model of a hand including radiopaque bones and a test block demonstrating a range of internal radiopaque features were successfully 3D printed. Radiopacity was demonstrated in the 3D-printed models, and there was good dispersion of ZrO2 within the resin matrix. The impregnated resin remained UV curable and viscosity was not compromised. In this study, 3D-printed radiopaque features demonstrated clear radiopacity under X-ray and microcomputed tomography imaging.
Financial literacy training and micro insurance on the financial performance of SMEs in the Sekondi-Takoradi Metropolis, Ghana

This research examines the effect of financial literacy training and micro insurance on the financial performance of Small and Medium Enterprises in the Sekondi-Takoradi Metropolis of Ghana. This study aims (i)to determine the effect of financial literacy training on the financial performance of SMEs, (ii) to establish the effect of microinsurance on the financial performance of SMEs; (iii) and to determine the moderating effect of government regulations on the relationship between financial literacy training, micro-insurance and the financial performance of SMEs. The study was based on the financial intermediation theory and Schumpeter’s theory of innovation. The study adopted an explanatory research design, using a sample size of 260 SMEs in the Sekondi-Takoradi metropolis, Ghana. A structured questionnaire was used to collect data on financial literacy training, micro insurance, financial performance, and government regulations from SME owners and microfinance institutions. Analysis of the data collected revealed that both financial literacy training and micro-insurance had a positive and significant effect on the financial performance of SMEs. The study recommends that the management of microfinance institutions that provide financial literacy training and micro-insurance should undertake a survey on the needs of SMEs and the specific challenges they face in accessing microfinance services.
Plataforma Computacional para Construção de um Banco de Dados de Grafo do Sistema de Transporte de Curitiba

The study of dynamic relationships between topological structures of a transport network and mobility patterns in this network is important for building smart solutions to problems of reliability, optimization, vulnerability and traffic forecast. However, one of the biggest challenge in transport planning and operation management is to deal with large volume of data often provided by geolocation sensors installed in vehicles. This work aims at modeling Curitiba transport system using a graph database built with information of daily transport operation available from an open data repository. The main contribution is the development of a computational framework for automatic building of the graph database from raw data of the repository. Illustrative results of several metrics for Curitiba transport are presented by showing the potential analysis provided by the proposed tool. Resumo. O estudo das relações dinâmicas entre as estruturas topológicas de uma rede de transporte e os padrões de mobilidade nesta rede se faz importante para a criação de soluções inovadoras para problemas de confiabilidade, otimização, vulnerabilidade e previsão de tráfego. Todavia, um dos maiores desafios da área de gerência, planejamento e operação do transporte é a manipulação de um grande volume de dados, geralmente provenientes de sensores de localização instalados nos veı́culos. Este trabalho tem por objetivo modelar o sistema de transporte coletivo da cidade de Curitiba usando uma base de dados de grafos gerada a partir de um repositório de dados abertos com informações da operação diária do transporte. A principal contribuição é o desenvolvimento de uma plataforma computacional para a geração automática da base de grafo a partir do repositório de dados abertos. Resultados ilustrativos de diversas métricas do transporte de Curitiba são apresentados, mostrando o potencial de análise da ferramenta.
How Environmental Performance Influences SMEs’ Competitive Performance: A Case of Food Production Industry

This research studies the effects of environmental performance, green corporate image, and corporate competitive performance on the food production industry in the Bangkok Metropolitan area. Using a multistage sampling method, 400 questionnaires were distributed by mail to SMEs in the food production industry with a response rate of 94.5 percent. Data was analyzed by structural equation modeling using the AMOS program to evaluate the significance of relationships between environmental performance, green corporate image, and corporate competitive performance. Environmental performance, an antecedent variable, was found to have a very moderate positive indirect effect on corporate competitive performance via green corporate image. Sixty-four percent of the variation in the dependent variable is explained by the antecedent variables, indicating significant mediating effects on marketing performance of SMEs in the food industry. Corporate competitive performance was found to be directly affected by corporate environmental performance, suggesting the industry would benefit from increased concern with environmental performance.