Miracle-dz/UniFAR-FTUs huggingface dataset:
Magma ascent mechanisms in the transition regime from
solitary porosity waves to diapirism

Abstract. In partially molten regions inside the earth melt buoyancy may trigger upwelling of both solid and fluid phases, i.e. diapirism. If the melt is allowed to move separately with respect to the matrix, melt perturbations may evolve into solitary porosity waves. While diapirs may form on a wide range of scales, porosity waves are restricted to sizes of a few times the compaction length. Thus, the size of a partially molten perturbation controls whether a diapir or a porosity wave will emerge. We study the transition from diapiric rise to solitary porosity waves by solving the two-phase flow equations of conservation of mass and momentum in 2D with porosity dependent matrix viscosity. We systematically vary the initial size of a porosity perturbation from 1 to 100 times the compaction length. If the perturbation is much larger than a regular solitary wave, its Stokes velocity is large and therefore faster than the segregating melt. Consequently, the fluid is not able to form a porosity wave and a diapir emerges. For small perturbations solitary waves emerge, either with a positive or negative vertical matrix velocity inside. In between the diapir and solitary wave regimes we observe a third regime of solitary wave induced focusing of melt. In these cases, diapirism is dominant but the fluid is still fast enough to locally build up small solitary waves which rise slightly faster than the diapir and form finger like structures at the front of the diapir. In our numerical simulations the width of these fingers is controlled by the compaction length or the grid size, whichever is larger. In cases where the compaction length becomes similar to or smaller than the grid size the finger-like leading solitary porosity waves are no more properly resolved, and too big and too fast waves may be the result. Therefore, one should be careful in large scale two-phase flow modelling with melt focusing especially when compaction length and grid size are of similar order.
Effects of Prism Adaptation on Unilateral Neglect After Stroke

Supplemental digital content is available in the text. Objective The aim of this study was to investigate the effects of prism adaptation (PA) on unilateral neglect after stroke. Methods Randomized clinical trials, published up to January 31, 2020, comparing PA with neutral goggles or no goggles were systematically searched and included. Two independent reviewers performed data extraction and assessed the quality of studies using the Physiotherapy Evidence Database scale. Results A total of seven randomized trials, involving 211 participants, satisfied the inclusion criteria. There was no significant immediate benefit of PA as measured by Behavioral Inattention Test (BIT) (weighted mean difference [WMD], 5.10; [95% confidence interval (CI), −6.68 to 16.88]), behavioral subset (BIT-B; WMD, 3.40 [95% CI, −3.97 to 10.76), conventional subset (BIT-C; WMD, 9.98 [95% CI, −0.42 to 20.38]), and Catherine Bergego Scale (WMD, −0.52 [95% CI, −1.98 to 0.93]). No statistical difference was observed between PA and control on the long-term effect (BIT: WMD, 1.92 [95% CI, −9.34 to 13.18]; BIT-B: WMD, −3.28 [95% CI, −11.89 to 5.34]; BIT-C: WMD, 2.66 [95% CI, −10.35 to 11.67]; Catherine Bergego Scale: WMD, −1.22 [95% CI, −3.05 to 0.62]). Conclusions PA did not show a greater improvement on neglect symptoms in post-stroke patients with unilateral neglect, compared with placebo or no treatment. These findings do not support the routine use of PA in patients with unilateral neglect after stroke.
Two Level Data Fusion Model for Data Minimization and Event Detection in Periodic Wireless Sensor Network

Periodic Wireless Sensor Networks used for many applications such continuous Weather Monitoring, Cattle Monitoring, Water Quality Monitoring and Event Detection Applications. Due to continuous Monitoring, Large Amount of redundant data is transferred over the Network, which causes depletion of energy resources. Data Fusion is used with the Aim of deleting redundant, inconsistent data and provides more accurate data to the Sink. However, redundant data improves the data quality. Therefore, Two Level Data Fusion Model is proposed in this paper to transfer minimized data with the ability of accurately determines the event with minimum Delay. Data Fusion Model employs Cluster based Data Fusion at Two Levels; First Level at Sensor Node ( SNs) and another level at Cluster Head ( CH )Node. At the first level of Fusion, SNs Send single most common measurement to the CH by using a similarity function. Second Level of Fusion is applied on CH to remove similar multi attribute measurement. Also at CH Node, Multiple Correlation is used to accurately distinguish the abnormal event from the normal event or outliers within minimum delay. Experimental results are performed on real data to validate proposed Data Fusion Model is Better in terms of data transfer over Network, Redundancy, Energy Consumption over the Prefix Filtering Technique (PFF) . This Model is also used to accurately detect early events in case of Emergency.
Phytochemical and antimicrobial activity of ethnomedicinal leaf extract of selected plants in Nigeria

The aim of this research work centered on the antimicrobial and phytochemical analysis of some selected ethnomedicinal leave extract. The phytochemical constituents of methanolic extract of leaf of Ocimum gratissimum, Azadirachta indica, Cymbopogon citratus and Annona muricata were screened and antimicrobial assay determined using agar well diffusion method. The Minimum Inhibitory Concentration (MIC) and Minimum Bactericidal Concentration (MBC) against selected food borne pathogen were determined. Analysis of data was carried out using Anova P³0. 05. The results show that 200 g of Annona muricata yielded 38.98 g with 19.50% being the highest yield while the least was 16.47 g yield of Cymbopogon citratus with 8.24%. Annona muricata and Ocimum gratissimum yielded highest phytochemical constituents (189996.10±0.03 and 18072.43±0.02 mg/kg of Tannin respectively). All the leaf extract inhibited Pseudomonas aeruginosa, Staphylococcus aureus, Proteus mirabilis, Klebsiella pneumonia and Esherichial coli to a varying degree. The MIC of the methanolic leaf extract of the ethnomedicinal plant ranges from 6.25 to 25.00 mg/mL and the MBC ranges from 18.75 to 100.00 mg/mL.
Feedforward Compensation Analysis of Piezoelectric Actuators Using Artificial Neural Networks with Conventional PID Controller and Single-Neuron PID Based on Hebb Learning Rules

This paper presents a deep analysis of different feed-forward (FF) techniques combined with two different proportional-integral-derivative (PID) control to guide a real piezoelectric actuator (PEA). These devices are well known for a non-linear effect called “hysteresis” which generates an undesirable performance during the device operation. First, the PEA was analysed under real experiments to determine the response with different frequencies and voltages. Secondly, a voltage and frequency inputs were chosen and a study of different control approaches was performed using a conventional PID in close-loop, adding a linear compensation and a FF with the same PID and an artificial neural network (ANN). Finally, the best result was contrasted with an adaptive PID which used a single neuron (SNPID) combined with Hebbs rule to update its parameters. Results were analysed in terms of guidance, error and control signal whereas the performance was evaluated with the integral of the absolute error (IAE). Experiments showed that the FF-ANN compensation combined with an SNPID was the most efficient.
Is Parity a Predictor of Neonatal Death in Indonesia? Analysis of the 2017 Indonesia Demographic and Health Survey

One factor that is thought to have a close relationship with neonatal deaths is parity. This is a problem for Indonesia which has the cultural characteristics of a large number of children is something positive. The study used the 2017 IDHS data. With stratification and multistage random sampling, 36,548 women aged 15-49 years with live births in the last 5 years were sampled. The final analyzed using a Binary Logistic Regression test. Multiparous women in Indonesia have a higher percentage of neonatal deaths than multiparous women. But the difference in parity between primiparous and multiparous was found not to be a predictor of neonatal death in Indonesia. Three other variables were found to be proven, predictors. Women who were not employed were 0.576 times more likely than women employed for neonatal death (OR 0.576; 95% CI 0.407-0.814). Women who did antenatal care ? 4 times were 2.332 times more likely than women who had ANC <4 times to experience neonatal death (OR 2.332; 95% CI 1.519-3.578). Women who did not experience a complication during delivery were 0.457 times more likely than women who had a complication during delivery for neonatal death (OR 0.457; 95% CI 0.317-0.659). The study concluded that parity was not a predictor of neonatal death in Indonesia. Other variables that were proven to be predictors are employment status, antenatal care, and complications during pregnancy
Antitumor, Antimicrobial activities and Phytochemicals Constituent of different Extracts of Pulicaria undulata (Forssk.) Oliver. Grown Naturally in Saudi Arabia

Antitumor and antimicrobial resistance are a habitual global issue, which continually demands finding new natural compounds to encounter the resistance. Pulicaria undulata (Forssk.) Oliver. (Asteraceae family) has numerous promising medicinal properties. The recent work aimed at determination of antitumor effects of three extracts of P. undulata on three types of human carcinoma; HEPG-2 hepatocellular carcinoma, MCF-7 breast carcinoma and HCT-116 colon carcinoma cell lines. Anticancer activity was assessed through studying the viability of the cancer cells and apoptotic pathway. Also, antimicrobial potency of different extracts was assessed against studied human pathogens (five Gram negative bacteria, two Gram positive bacteria and yeast). The results reveal that chloroform extract has different levels of cytotoxicity toward the three types of cancer cell lines. A considerable decline in cancer cell rates has been linked to increasing in concentration of plant extract. The half maximal inhibitory concentration IC 50 value was 3.01 µg/ mL for the HepG-2, 16.4 µg/mL for the MCF-7, and 7.4 µg/ mL for HCT-116. Followed by the ethyl acetate extract which showed strong cytotoxic activity against HEPG2 with IC 50 = 12.2 µg ∕ml and moderate activities against MCF7 and HCT 116 and recorded (IC 50 = 26.7 and 26.4 µg ∕ml, respectively). While the crude methanol extract recorded the lowest cytotoxic effect against HEPG2, MCF7 and HCT 116 with (IC 50 = 51.4, 105.1 and 86.7 µg ∕ ml, respectively). Chloroform and ethyl acetate extracts have a high antimicrobial activity more than methanol extract against the pathogens being studied. HPLC and GCMs Analysis identified numerous chemical compounds of P. undulata extracts with various therapeutic benefits. In conclusion, P. undulata has the potential to act as an antimicrobial agent against various pathogenic microbes and is a promising wild herb for the treatment of cancer.
Steady-state multiple near resonances of periodic interfacial waves with rigid boundary

Steady-state resonant interfacial waves in a two-layer fluid within a frictionless duct are investigated theoretically. A combination of the homotopy analysis method (HAM) and Galerkin’s method is used to search for accurate steady-state resonant solutions with multiple near resonances. In the HAM, a piecewise parameter in the auxiliary linear operators is introduced to remove the small divisors caused by nearly resonant components. Convergent series solutions are then provided to the Galerkin iterations to accelerate the convergence rate. It is found that weakly nonlinear steady-state resonant waves form a continuum in the parameter space. As nonlinearity (wave steepness) increases, energy appears to be progressively shifted to sideband frequency components, effectively broadening the spectrum. The corresponding interfacial wave profile exhibits an almost fixed spatial pattern of repeated relatively high frequency, high-amplitude bursts followed by low-amplitude, longer waves. On examining the influence of density ratio, though changing slightly, the upper layer enlarges the amplitude of components near primary ones, which reduces the amplitude of higher frequency components, enlarges the wave steepness, and reduces the horizontal velocity in the wave field. Our results indicate that steady-state systems with resonant interactions among periodic interfacial wave components could occur naturally in the ocean. All these should enhance our understanding of periodic resonant interfacial waves.
How to make it work: a framework for rapid research to inform evidence-based decision –making about the implementation of online learning during the COVID-19 pandemic

This article was migrated. The article was marked as recommended. Evidence- based decision making about the implementation of online learning in medical education during the COVID-19 pandemic is a challenge for decision-makers since it is a time of rapid change. We present a new framework that offers a potential highly useful response to meet this challenge. Our proposed framework for rapid research of online learning during the COVID-19 pandemic recognises the challenge of understanding the complexity of the socio-technical system in which the online learning is implemented, including the behaviour change of individuals in the system and the system’s absorptive capacity. The framework provides a structured approach for rapid research to understand the complexity of the implementation of online learning during the COVID-19 pandemic. We recommend that rapid research to inform decision-making about the implementation of online learning during the COVID-19 pandemic should focus on early identification of the needs of the decision-makers and the use of high quality rapid research approaches to provide relevant and timely information about context, processes and outcomes.
Whether the Allocation of International Aid Is Biased to Recipient Countries’ Exchange Rate Regime and Capital Openness?

This study investigates whether distribution of international assistance is influenced by recipient countries’ exchange rate regime and capital openness. Our empirical analysis finds that countries that have more fixed exchange rate regime have more possibility to receive larger foreign aid while the capital openness has no significant effects after controlling for the country pair fixed effect. Bilateral trade interest may be a potential explanation of the effects.
Progress in Electrodeposition of Zinc and Zinc Nickel Alloys Using Ionic Liquids

Zinc (Zn) and zinc–nickel (Zn–Ni) electrodeposition has been widely used in many industries, such as automotive and aerospace, for corrosion protection of steel components owing to their excellent corrosion resistance. Conventional zinc and zinc–nickel electrodeposition is performed in different types of aqueous baths (acid and alkaline). Such electrolytes suffer from certain drawbacks such as hydrogen gas evolution, low coulombic efficiencies, and environmental toxicity. Electrodeposition of Zn and Zn–Ni alloys from ionic liquids has gained significant attention in aerospace and automotive sectors owing to the different environments they provide for electrodeposition. This paper reviews the progress in deposition of zinc and zinc-nickel alloys in non-aqueous systems, especially ionic liquids. In addition, the challenges and technological developments associated with the Zn and Zn–Ni deposition on different substrates and the factors that need to be considered while electroplating at an industrial scale are discussed.
Knowledge-based dynamic capabilities and knowledge worker productivity in professional service firms The moderating role of organisational culture

ABSTRACT This study investigates the relationships between two factors in knowledge management: knowledge-based dynamic capabilities and knowledge worker productivity. The study examines the moderating effect of organizational culture (i.e. adaptability, consistency, involvement and mission) on the relationship between the factors. We collected a unique survey data from 303 respondents from 41 research institutes and R&D centres in Australia and tested the model using structural equation modelling. The results suggest that all three knowledge-based dynamic capabilities can enhance perceived knowledge worker productivity, but knowledge acquisition capability has a stronger correlation with knowledge worker productivity. We also found significant moderating impacts of traits of organizational culture on several relationships. The model has significant implications for management and demonstrates that strengthening knowledge capabilities and understanding the influence of organizational culture will enhance the response of professional service firms to environmental complexities. Further implications for management include the increased utilisation of capacity to create and develop new knowledge, combine internal and external knowledge, and enhance knowledge worker productivity.
Factors associated with positive work experience among professionals supporting people with intellectual disabilities: a comparative analysis of three welfare organisations in Sweden

Given the crucial role professionals play in maintaining the well-being of people with intellectual disabilities, their views on work satisfaction are relevant to analyse. A comparative analysis that takes into account the support provided in different welfare organisations can be of certain importance. The aim is to analyse the most common aspects of professional work satisfaction in work with people with intellectual disabilities in schools, healthcare, and social services, and to apply a comparative analysis of such experience taking into account respondents’ organisational affiliations. Data were collected using a digital questionnaire. Given the aim of the study, we drew on one open-ended question: ‘describe aspects of your work that are most satisfactory for you’. The analysis shows that respondents associated positive work experience with seven aspects: autonomy, competence, nature of the work, collaboration, trust and recognition, work environment, and service users. Findings indicate that discretion is an important facet of work satisfaction among respondents in all three organisations. Flexibility, autonomy in decision-making, the ability to plan and act within certain institutional and legal frameworks, and the ability to prioritise among daily work assignments are empirical examples of this.
A queer boundary: How sex and BDSM interact for people who identify as kinky

Few studies have systematically examined the relationship between kink behaviors and sexual behaviors, yet even these preliminary studies indicate that the relationship is complex and that there is a notable diversity in how people construct the boundaries of sex and kink and the relationship between them. As part of a grounded theory study of kink identity, the current study examined how 70 kink-identified participants from Northern California discussed their experience and understanding of the relationship between kink and sex in interviews conducted in 2014 and 2015. Findings indicated seven themes: kink flowing into sex, kink as spice for sexual interactions, kink and sex as connection and intimacy, kink and sex as an expression of erotic energy, kink and sex as an expression of power exchange, kink as spiritual, and kink as freedom. Findings indicated that sexual orientation and gender identity may influence how people understand and experience the relationship between kink and sex.
Problematic of Tourism in Adıyaman: Multidimensional Barriers with a Community Perspective

Tourism success is an important parameter of regional development. The way a society perceives tourism and existing issues and the rate of participation in political decisions are also important factors, particularly for developing regions. In this sense, the perspective of the locals provides a significant clue for researchers and policy makers. In this study, the tourism development of Adiyaman, one of the potential tourism destination of Turkey, has been analysed through a societal perspective. 187 people have been selected through convenience sampling method under the scope of the study and they have been posed open-ended questions. The acquired data have been categorized under three sections as socio-cultural, socio-economic and geographic barriers. As a result of the study, the most significant barriers for tourism are defined as the local administration, investment, transport and promotion.
Research on sentiment analysis of short text based on Attention

In order to classify the short essays, a circulating neural network is used to classify the texts by natural language processing technology. Recurrent neural network has some advantages in processing text sequence with memory function. In this paper, BiLSTM algorithm is used to extract text data features, and self-attention mechanism is introduced to improve the fitting ability of the model. The accuracy of this model algorithm on text emotion classification task is 78.1%, which is improved compared with LSTM and CNN neural network model.
Flow Based Logic Design Partitioning

— The major challenges encountered during the design of IC include battery lifetime and energy constraints especially for Internet of Things and mobile applications. Many techniques in the domain of low power and power management have gained widespread attention because of the significance of power efficiency. Due to the increasing complexity of systems on chips (SoCs), multiple power domains on a single integrated circuit (IC) are becoming more common as process nodes are getting smaller. Stacked power domain approach connects voltage domains in series, which effectively improves battery lifetime and efficiency of power delivery. Stacked domain implementation requires partitioning the logic design into two power domains. But this approach requires balancing the currents between power domains. Level shifter insertion between power domain regions, can result in remarkable area penalties. In the proposed paper, a flow based partitioning algorithm is introduced. Considering the solution obtained after initial placement, a flow-based partitioning is applied, which is based on maximum flow and minimum cut algorithm and aware of cell placement in order to partition all cells into two different power domains while achieving balance in cross-domain currents. Algorithm is implemented on MCNC bench mark circuit. Algorithm removes the need for dummy vertices (super source and super sink) to do partitioning.
Promoting Clean Energy Innovation at the State and Local Level

Abstract Innovation is an important part of energy policy, and encouraging clean energy innovation is often an explicit goal of policy makers. For local governments, promoting clean energy innovation is seen not only as a pathway to a cleaner economy but also as a tool for promoting the local economy. But is such optimism warranted? There is a substantial literature examining the relationships between innovation and environmental policy, but few studies focus explicitly on innovation at the state and local level. In this paper, I provide key lessons from research on clean energy innovation, focusing on lessons relevant for state and local governments. I then summarize the results of a recent working paper by Fu et al. (2018) that studied wind energy innovation across individual states in the United States. While state-level policies can promote clean energy innovation, it is overall market size that matters most. Thus, innovation need not occur in those states most actively promoting clean energy. I conclude with lessons for state and local governments drawn from both this work and the broader literature on energy innovation.