Miracle-dz/UniFAR-FTUs huggingface dataset:
Variable backwater and channel roughness: effects on Solimões River discharge

Historically, streamflow daily values are obtained indirectly by applying a rating curve on water level data. In several Amazon basin stations, a backwater effect impacts the flow, thereby invalidating the rating curve method. To account for this effect, we generated a daily discharge data series by applying the Manning equation to daily water level data from the Manacapuru station located on the Solimões River. Each Manning parameter had to be established based on its relationship to the water level. The roughness coefficient was obtained by inverting the Manning equation for each discharge measurement, and a “coefficient–stage” relationship was established. The slope of the energy line was estimated by the water-surface slope between two fluviometric stations. Discretizing the equations for each parameter enhanced the discharge estimation for the Manacapuru station, thereby generating an accurate discharge data series. Résumé. Historiquement les valeurs journalières de débit sont obtenues de manière indirecte en appliquant une courbe de tarage aux valeurs correspondantes de hauteur d’eau. Mais pour beaucoup de stations du bassin amazonien le débit mesuré est affecté par un effet de barrage hydraulique dû à l’influence variable du débit entrant d’un affluent et l’on ne peut plus appliquer une simple courbe hauteur/débit. Pour prendre en compte cet effet de mascaret, nous avons créé pour la station de Manacapuru sur le Río Solimoes une série de débits journaliers en appliquant l’équation de Manning aux hauteurs journalières correspondantes. Chaque paramêtre de Manning a été établi en fonction du niveau d’eau. Le coefficient de rugosité a été calculé en inversant les termes de l’équation de Manning pour chaque mesure de débit et une courbe “coefficient de rugosité–niveau” a pu être établie. ∗Corresponding author. ISSN (electronic) : 1778-7025 https://comptes-rendus.academie-sciences.fr/geoscience/ 186 Luna Gripp Simões Alves et al. La pente de la ligne d’énergie a été estimée à partir de la pente de la ligne d’eau avec la station hydrométrique la plus proche. En discrétisant les équations pour chaque paramètre nous avons pu améliorer l’estimation du débit à la station de Manacapuru et générer ainsi une série de données de débits plus précise.
A novel disturbance rejection factor based stable direct adaptive fuzzy control strategy for a class of nonlinear systems

This paper proposes a unique disturbance rejection factor (DRF) based design of direct stable adaptive fuzzy logic controllers (AFLCs) for a class of non‐linear systems with large and fast disturbances. The proposed AFLCs are realized by employing hybrid combinations of Lyapunov theory based local adaptation and harmony search algorithm based global optimization technique. These hybrid AFLCs are designed with the objective of optimizing both the structure and free parameters of it with guaranteed stability and, at the same time, simultaneously achieving satisfactory tracking performance and disturbance rejection. The novelty of the proposed work lies in the fact that, in a bid to perform the disturbance rejection, the nature of the disturbance itself is used in designing the tracking control law. The proposed DRF based hybrid stable AFLCs are implemented for several benchmark case studies and extensive performance evaluations demonstrate their usefulness.
Assessing the knowledge, skills and effectiveness of e-learning among medical graduates amongst the COVID pandemic

Background: Introduction of e-learning as a new paradigm in medical education is gaining in the era of COVID pandemic as an alternative to traditional teaching where students and faculty skills are widely required in information and communication technology. Objectives were to assess the knowledge and attitude of medical students in application of e-learning in medical education. The level of satisfaction attained in gaining knowledge and availability of e resources were also assessed.Methods: A cross sectional online study was conducted for two months at Narayana medical college, Nellore among the medical graduates with a pre designed structured questionnaire after ethical committee approval. The questionnaire was designed to assess the Knowledge and attitude and was closed ended type. The questionnaire regarding level of satisfaction were assessed using 5-point Likert scale. The data was analysed by using SPSS version 17 and p valve<0.05 was considered significant.Results: Total 200 medical students with 50 in each phase were selected with 42% males and 58% females. Smart phone was the commonest device used (54%). 68.5% were familiar with e-learning in medical education, 55% accessed regularly, 47% were using for assessment with majority in phase 4 students. 81% agreed e-learning definitely improves their overall academic performance and 83% their self-assessment.Conclusions: Students had positive attitude towards e-learning and accepted supplementation of e-learning in regular traditional teaching method. Majority were satisfied with clinical material provided, knowledge gained in practical and theoretical aspects by online lectures in various formats and professional assistance provided.
Relational capabilities and performance: examining the moderation-mediation effect of organisation structures and dynamic capability

ABSTRACT This study examines how organisations’ relational capabilities are associated with dynamic capability and performance in the context of emerging economies. Further, it examines how organisation structures moderate the effect of relational capabilities on dynamic capability development. The proposed framework is tested using structural equation modelling to survey data from 220 Indian firms. The findings suggest that firms with strong relationships with their customers and strategic partners will have better access to knowledge resources, which positively influences their dynamic capability and organisational performance. Further, it finds that centralised or formalised organisation structures decrease the effectiveness of firms’ relational capabilities. Lastly, the study uncovered that the association between firm performance and relational capabilities is mediated by dynamic capability. This study advances extant research by examining the underlying mechanism between relational capabilities and performance and first to test the contingent impact of different organisation structures on dynamic capability development through relational capabilities.
COATING OF PLATHYMENIA RETICULATA BENTH SEEDS WITH DIFFERENT MATERIALS

Plathymenia reticulata Benth, popularly known as ‘vinhático’, is a tree species with potential for the production of high-quality timber that is used in luxury furniture and construction. Seed coating ensures an adequate stand, vigorous plants, delayed onset of epidemics, and increased yield. The present study was carried out to investigate different types of seed-coating materials and their effects on the physical and physiological characteristics of Plathymenia reticulata Benth and define the best coating material. The coatings were made with sand, silicate, limestone, sand + silicate, sand + limestone and uncoated seeds as a control. The experiment was set up as a completely randomized design with six treatments tested in four replicates with 50 seeds each. Sand + limestone coating reduced GSI and ESI but did not influence the seedling germination or emergence rates. The best material for coating Plathymenia reticulata Benth was the sand + limestone mixture.
Isolation, Identification, and Biochemical Characteristics of a Cold-Tolerant Chlorella vulgaris KNUA007 Isolated from King George Island, Antarctica

A cold-tolerant unicellular green alga was isolated from a meltwater stream on King George Island, Antarctica. Morphological, molecular, and biochemical analyses revealed that the isolate belonged to the species Chlorella vulgaris. We tentatively named this algal strain C.vulgaris KNUA007 and investigated its growth and lipid composition. We found that the strain was able to thrive in a wide range of temperatures, from 5 to 30 °C; however, it did not survive at 35 °C. Ultimate analysis confirmed high gross calorific values only at low temperatures (10 °C), with comparable values to land plants for biomass fuel. Gas chromatography/mass spectrometry analysis revealed that the isolate was rich in nutritionally important polyunsaturated fatty acids (PUFAs). The major fatty acid components were hexadecatrienoic acid (C16:3 ω3, 17.31%), linoleic acid (C18:2 ω6, 8.52%), and α-linolenic acid (C18:3 ω3, 43.35%) at 10 °C. The microalga was tolerant to low temperatures, making it an attractive candidate for the production of biochemicals under cold weather conditions. Therefore, this Antarctic microalga may have potential as an alternative to fish and/or plant oils as a source of omega-3 PUFA. The temperature tolerance and composition of C.vulgaris KNUA007 also make the isolate desirable for commercial applications in the pharmaceutical industry.
Explaining the Competitive Advantage of Enterprise Resource Planning Adoption: Insights Egyptian Higher Education Institutions

Organizations nowadays focus on, not implementing ERP systems, but also leveraging ERP systems as part of their digital strategy. They holistically address people, processes, and technology for a digital transformation. Meanwhile, higher education institutions (HEIs) are also facing an imperative need for the implementation of modern technologies to stay competitive and differentiate them as an innovation leader. Higher education management is challenged with maintaining high-level information systems. These systems can generate complex real-time reports for effective resource allocation and better decision making. Enterprise Resource Planning (ERP) systems can help HEIs manage their resources and operations effectively. A study of ERP among 112 HEIs in Egypt was conducted. This study originally investigates the Egyptian HEIs’ perception of the ERP system as a new integrating tool for its value. The results showed that Egyptian HEIs are still at the embryonic level as the majority have not adopted these systems yet. However, ERP value has been undoubtedly perceived by HEIs’ managers. Therefore, the present study fruitfully reflected HEIs’ understanding of the imperative need of ERP systems as strategic systems for their competitiveness. Consequently, the study suggests that Egyptian HEIs and ERP vendors take steps to remove any barriers and accelerate the ERP adoption process. Also, this research contributes to the advancement of ERP concepts and characteristics from HEIs' standpoint and a grants practical verification to the higher education context. Overall, the study advances existing knowledge and research on ERP, strategic management systems, and HEIs.
Aerosol penetration through fabrics: Experiments and theory

Abstract Clothing or garments have been widely used to prevent dermal contact from particles. During the current COVID-19 pandemic, there has been a renewed focus on the role of clothing for personal protection. Insufficient attention has, however, been given to understand the relation between fabric parameters and fabric performance for filtration. In this study, two different fabric materials (10 oz denim and A30) were experimentally tested. The performance of the materials was estimated through both a benchtop test, similar to that used in filter performance studies, and a sleeve test which simulates a segment of the human body. The benchtop test established the relation among face velocity, pressure drop, and penetration. In the sleeve test, aerosol penetrations were determined for different sampling angles and wind conditions. In addition to individual fabric test, penetration measurements were also made with the combination of the two fabrics. The experimental results were used to test the performance of the fabric penetration model that was developed as part of this study. Our fabric penetration model is based on inhomogeneous filtration theory with fiber parameters optimized by experimental benchtop penetration results. The fabric penetration model was used to predict the performance of a fabric sleeve system. The theoretical predictions match with the experimental results well for free stream velocities in the range of 9 to 18 m s−1. Therefore, without expensive experimental test operation under elevated wind conditions, the penetration of a fabric at different operation conditions can be predicted based on the experimental results in benchtop test. Copyright © 2020 American Association for Aerosol Research
Determinants of Long-Acting and Permanent Methods (LAPMS) of contraception use in Jambi Province, Indonesia

The use of long-acting and permanent methods of contraception (LAPMs) by couples of reproductive age in Jambi Province is still comparatively low. Long-term contraception users were only 18.26 percent in 2018. Based on these, the objective of the study is to analyze as follows: 1) the determinants of LAPMs and non-LAPMs used by couples of reproductive age; 2) the relationship between couples of reproductive age and use of LAPMs. Data is obtained from the 2018 Performance Monitoring and Accountability of Population, Family Planning, and Family Development programs. Data were analyzed using binary logistic regression, One-way ANOVA and Chi-Square Test. The results of the analysis found that the determinants of LAPM and non-LAPM selection by couples of reproductive age are woman’s educational attainment, woman’s employment status, the difference between ideal and actual number of surviving children, the desire for more children, the knowledge of contraceptive methods, economic conditions, and urban-rural residence. Furthermore, the characteristics of couples of reproductive age significantly related to the LAPM choice include woman’s age, woman’s educational attainment, the actual number of surviving children, the difference between ideal and actual number of surviving children, the desire for more children, the knowledge of contraceptive methods, economic conditions, and urban-rural residence.
Multi Deep Learning to Diagnose COVID-19 in Lung X-Ray Images with Majority Vote Technique

The COVID-19 pandemic has become the focus of world problems that need to be resolved. This is because the rate of spread is speedy and able to take down the world's health system. Therefore, many researchers are focusing their research on solving this problem by doing an initial screening on the X-Ray image of the subject's lungs. One of them is by using Deep Learning. Several articles that talk about implemented Deep Learning for classifying X-Ray images have been published. But most of them are comparing different architecture CNN (Convolutional Neural Network). In this study, the authors try to create a multi-classifier Deep Learning system that consists of nine different CNN architectures and combined with three different Majority Vote techniques. The target of this research is to maximize the performance of classification and to minimize errors because the final decision is a compilation of decisions contained in each CNN architecture. Several models of CNN are tested in this study, both the model which used Majority Vote and Conventional CNN. The results show that the proposed model achieves an accuracy value average F1-Score 0.992 and Accuracy 0.993, according to 5 K-Fold test. The best model is CNN, which used Soft Majority Vote.
A Review on the Role of Polymers in Pharmaceutical Applications

Development of a new drug molecule is costly and requires a long time. Many attempts have been made to improve the safety of the effective level of "old" drugs, utilizing various ways like individualizing drug therapy, curative drug control, and dose titration. But, recently, important efforts have been made to discover the novel drug releasing systems, which can be supplied to a target system in the human body, while controlling the level and time of delivery. Polymers, whether synthetic or natural, have great importance in pharmaceutical applications, especially in the field of drug delivery. The use of polymers in pharmaceutical applications ranges from their use as binders in tablets to viscosity and flow controlling factors in liquids, and they can be used in suspensions and emulsions; also, in some cases, they can be used as film coatings. Moreover, they may be used as membranes implanted within the living body. Current work highlights the importance of drug delivery systems and the role of polymers in them.
Analysis of the Effect of Climate Warming on Paludification Processes: Will Soil Conditions Limit the Adaptation of Northern Boreal Forests to Climate Change? A Synthesis

Northern boreal forests are characterized by accumulation of accumulation of peat (e.g., known as paludification). The functioning of northern boreal forest species and their capacity to adapt to environmental changes appear to depend on soil conditions. Climate warming is expected to have particularly pronounced effects on paludified boreal ecosystems and can alter current forest species composition and adaptation by changing soil conditions such as moisture, temperature regimes, and soil respiration. In this paper, we review and synthesize results from various reported studies (i.e., 88 research articles cited hereafter) to assess the effects of climatic warming on soil conditions of paludified forests in North America. Predictions that global warming may increase the decomposition rate must be considered in combination with its impact on soil moisture, which appears to be a limiting factor. Local adaptation or acclimation to current climatic conditions is occurring in boreal forests, which is likely to be important for continued ecosystem stability in the context of climate change. The most commonly cited response of boreal forest species to global warming is a northward migration that tracks the climate and soil conditions (e.g., temperature and moisture) to which they are adapted. Yet, some constraints may influence this kind of adaptation, such as water availability, changes in fire regimes, decomposer adaptations, and the dynamic of peat accumulation. In this paper, as a study case, we examined an example of potential effects of climatic warming on future paludification changes in the eastern lowland region of Canada through three different combined hypothetical scenarios based on temperature and precipitation (e.g., unchanged, increase, or decrease). An increase scenario in precipitation will likely favor peat accumulation in boreal forest stands prone to paludification and facilitate forested peatland expansion into upland forest, while decreased or unchanged precipitation combined with an increase in temperature will probably favor succession of forested peatlands to upland boreal forests. Each of the three scenarios were discussed in this study, and consequent silvicultural treatment options were suggested for each scenario to cope with anticipated soil and species changes in the boreal forests. We concluded that, despite the fact boreal soils will not constrain adaptation of boreal forests, some consequences of climatic warming may reduce the ability of certain species to respond to natural disturbances such as pest and disease outbreaks, and extreme weather events.
The natural recovery of disturbed soil, plant cover and trees after clear-cutting in the boreal forests, Russia

Aleksey Ilintsev , Alexander Bogdanov , Elena Nakvasina , Irina Amosova , Sergey Koptev , Sergey Tretyakov (2) This study aims to determine the impact of forest harvesting machinery on the temporarily moist soil of spruce forests (Picea abies Karst.) during the summer. For research purposes, we investigated 23 sites of the boreal forest in the European North of Russia (Arkhangelsk region) where logging operations had been carried out using harvesters and forwarders (CTL, cut-to-length harvesting). In the 15 years after logging, the sites were monitored for changes in physical soil properties and the depth/width of ruts and vegetation. In freshly cut areas, the depth of the ruts was linked to the amount of logging residue that had been used to strengthen skidding trails. After 15 years, the ruts were smooth but had not disappeared entirely. The average depth of the ruts decreased from 36 cm to 18 cm during the period under review. At a depth of 010 cm, the soil bulk density of the section between the control area and the wheel track increased by 19-27% within the first two years. At a depth of 1020 cm, the soil bulk density only increased by 16-17% within the two-year period. After 15 years, the soil bulk density had decreased to the extent that there were no signs of heavy machinery movement. The natural restoration of vegetation in the ruts was affected by the presence of stagnant water in the initial post-logging period. Ruderal species and species with broad ecological amplitude to environmental factors grew over the skid trails. 15 years after logging, this overgrowth had stabilised, with the biodiversity level in the control area approaching its pre-logging state. Primarily, the renewal of the cutting areas occurred through species such as birch (Betula pendula Roth.) and aspen (Populus tremula L.). The highest amount of undergrowth (more than 30,000 ha) was detected 6-8 years after logging. This then decreases in areas that were cut down earlier. There are environmental consequences of clearcutting (using the CTL system) on temporarily moist soil. To prevent the formation of deep ruts, it is recommended to leave 15-20 kg m of felling residue.
Preliminary Results of Activated Sintering Mechanism and Grain Boundary Prewetting/Premelting in Nickel‐Doped Tungsten

Supported by prior lattice-gas and phase-field simulations, we proposed that nanoscale intergranular and surficial amorphous films in multicomponent ceramic materials can be treated as a case of combined interfacial prewetting and premelting. Consequently, a class of parallel interfacial phenomena, i.e., coupled interfacial adsorption and disordering, is anticipated to occur in multicomponent metallic alloys. An exploratory study was carried out wherein grain boundary segregation in a model binary metallic alloy (Ni-doped W) was characterized as a function of temperature and dopant concentration. Doped specimens were prepared using high purity chemicals, sintered in flowing H2/N2 mixture, and examined using Auger spectroscopy and electron microscopy. Preliminary results are presented and discussed with respect to a prewetting/premelting model versus the classical Langmuir-McLean and BET models. An additional goal of this study is to resolve the long-standing mystery of solid-state activated sintering mechanism for nickel-doped tungsten. Use of ultra-pure materials confirmed the occurrence of nickel activated sintering of tungsten in the solid-state. We demonstrated that, contrary to the previous belief, Ni-rich secondary bulk phase does not penetrate along GBs and the solid-state activator should be a nanoscale interfacial phase that does not appear in the bulk phase diagram. The solid-state activated sintering in the modelmore » metallic system of Ni-doped W is therefore attributed to the enhance diffusion in a coupled grain boundary disordering and adsorption region, analogous to activated sintering via accelerated mass transport in nanoscale intergranular and surficial amorphous film in the model oxide system of Bi2O3-doped ZnO. « less