bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the Weakening of Northward Propagation of Intraseasonal Oscillations During Positive Indian Ocean Dipole Events.
Authors: Kottapalli Aditya , N Vinayachandran P 
Published: July 2021

Abstract
The northward propagation of intraseasonal oscillations (ISO) is one of the major modes of variability in the tropics during boreal summer, associated with active and break spells of monsoon rainfall over the Indian region, and modulate the Indian summer monsoon rainfall (ISMR). The northward march starts close to the equator over warm waters of the Indian Ocean and continues till the foothills of the Himalayas. The northward propagations tend to be weaker during positive Indian Ocean Dipole (pIOD) years. We have used the "moisture mode" framework to understand the processes responsible for the weakening of northward propagations during IOD years. Our analyses show that moistening caused by the horizontal advection was the major contributor for the northward propagations during negative IOD (nIOD) years, and its amplitude is much smaller during pIOD years. The reduction in the zonal advection during pIOD is responsible for the weakening of northward propagations. Also, the mean structure of entropy between 925hpa – 500hpa levels remained similar over most of the monsoon region across the contrasting IOD years. The reason for weaker northward propagations can be attributed to the weaker zonal wind perturbations at intraseasonal timescales. The weaker zonal wind perturbations during ISO events in pIOD years owing to cooler sea surface temperatures (SST) in the South-East Equatorial Indian Ocean (SEIO) and warmer West Equatorial Indian Ocean (WEIO) and South-East Arabian Sea (SEAS) is proposed to be the possible reason for the weakening of northward propagations during pIOD years.
Quantum Energy-Transport and Drift-Diffusion Models for Electron Transport in Graphene An Approach by The Wigner Function
Authors: Camiola Vito Dario , Mascali Giovanni , Romano Vittorio 
Published: July 2021

Abstract
The present work aims at formulating quantum energy-transport and drift- diffusion equations for charge transport in graphene from a quantum hydrodynamic model proposed in [1], obtained from the Wigner-Boltzmann equation via the mo- ment method. In analogy with the semiclassical case, we are confident that the energy- transport and drift-diffusion models have mathematical properties which allow an easier numerical treatment.
Provide A Method Based on Genetic Algorithm to Optimize the Fuzzy Logic Controller for the Inverted Pendulum
Authors: Alimoradpour Shahrooz , Rafie Mahnaz , Ahmadzadeh Bahareh 
Published: July 2021

Abstract
One of the classic systems in dynamics and control is the inverted pendulum, which is known as one of the topics in control engineering due to its properties such as nonlinearity and inherent instability. Different approaches are available to facilitate and automate the design of fuzzy control rules and their associated membership functions. Recently, different approaches have been developed to find the optimal fuzzy rule base system using genetic algorithm. The purpose of the proposed method is to set fuzzy rules and their membership function and the length of the learning process based on the use of a genetic algorithm. The results of the proposed method show that applying the integration of a genetic algorithm along with Mamdani fuzzy system can provide a suitable fuzzy controller to solve the problem of inverse pendulum control. The proposed method shows higher equilibrium speed and equilibrium quality compared to static fuzzy controllers without optimization. Using a fuzzy system in a dynamic inverted pendulum environment has better results compared to definite systems, and in addition, the optimization of the control parameters increases the quality of this model even beyond the simple case.
Exploring The Role of Advanced Clinical Practitioners (ACPs) and Their Contribution To Health Services in England.
Authors: Mann Claire , Timmons Stephen , Evans Catrin , Pearce Ruth , Research Charlotte Overton , Hinsliff-Smith KATHRYN , Conway Joy 
Published: July 2021

Abstract
Background
An extended role being explored globally is that of the advanced clinical practitioner (ACP). In England this is an extended role for allied health professions, nurses and midwives. ACP education is organised by Health Education England (HEE) who organise an accredited training programme for ACPs alongside a multi-professional framework. This paper draws on research commissioned to evaluate the national implementation of the ACP role to inform the development of a Centre for Advancing Practice in the UK but has implications for others considering their ACP provision. This paper focuses on three key research questions: 1) What is the role of ACPs in England? 2) What are the barriers and facilitators to implementing the role? and 3) What is the contribution of ACPs to health services in England?
Methods
Semi-structured interviews were conducted in 2020 with 63 participants across a range of stakeholder groups and clinical areas. A purposive snowball sampling technique was used to identify participants meeting the inclusion criteria. Interviews were recorded and transcribed verbatim, anonymised and thematically analysed.
Results
We report on three aspects as highlighted from the data (1) The role of ACPs, (2) Barriers to and facilitators of the ACP role implementation (3) Contribution of ACPs to health services in England. The ACP role in England was undertaken in a broad range of clinical contexts. ACPs worked towards being an autonomous practitioner and most were independent prescribers. In England ‘advanced clinical practitioner’ was not a protected title. There were high levels of variability and ambiguity of understanding and deployment of the ACP role in England.
Conclusions
This study outlines the contribution that ACPs make to health services and contributing factors to the success of the ACP role in England. We demonstrated the range in which the role is successful in England. We identified key barriers and facilitators to implementing this role. Finally, the work showed the positive contribution that ACPs can make to service redesign and workforce development as well as patient outcomes, whilst accepting that there is much work to do to ensure protected status and parity across all professions and clinical contexts.
Atypical Leigh Syndrome Diagnosed in an Infant with Prominent Cardiac Hypertrophy as Initial Symptom: A Case Report with Novel LRPPRC Variants
Authors: Sun Guoyu , Ma Yi , Hou Xinlin , zhou Zhou 
Published: July 2021

Abstract
Background: Leigh syndrome is a kind of severe neurological disorder with various inheritable patterns usually affects children, especially the infants. Lack of characteristic neurodegenerative symptoms cause the delay and inaccurate diagnosis of Leigh syndrome, which is essential for the prognosis in pediatric clinical practice.Case presentation: A 10-day-old Chinese boy was first admitted to hospital with feeding difficulty, elevated lactate and prominent cardiac hypertrophy as initial symptom but without neurological abnormality. Subsequent identification of novel LRPPRC compound heterozygous variants c.2582T>A (p.Val861Asp) and c.1582+4A>G by whole exome sequencing seemed to favor French-Canadian Leigh syndrome. This diagnosis was further supported by the rapid progression of neuropathology manifesting as epileptic seizures 5 months later and the significantly reduced mitochondrial complex-IV activity.Conclusion: This tortuous process of diagnosis should raise the recognition of rare untypical type of Leigh syndrome, and emphasize the important role of genetic testing in current pediatric clinic. The observation also broadens the spectrum of LRPPRC variants associated with Leigh syndrome outside of French-Canadian areas.
Forecast of Complex Financial Big Data Using Model Tree Optimized By Bilevel Evolution Strategy
Authors: Senoguchi Junsuke 
Published: July 2021

Abstract
If a decision tree is constructed through a series of locally optimal solutions, such as the Greedy method, overfitting to the data is likely to occur. In order to avoid overfitting, many previous research have attempted to collectively optimize the structure of a decision tree by using evolutionary computation. However, if attributes of each split and their thresholds are searched simultaneously, the evaluation function becomes intermittent; thus, optimization methods assuming continuous distribution cannot be used. In this study, in order to enable efficient search assuming continuous distribution even for complicated data that contains a lot of noise and extraordinary values, such as financial time series data, the inner level search that optimizes each threshold value collectively given a specific attribute for each split in a model tree and the outer level search that optimizes the attributes of each split were performed by separate evolutionary computing. As a result, we obtained high prediction accuracy that far exceeded the performance of the conventional method.
Remarkable Enhancement In The N2- Selectivity of NH3-SCR Over The CeNb3Fe0.3/TiO2 Catalyst In The Presence of Chlorobenzene
Authors: Zang Pengchao , Liu Jun , Liu Xiaoqing , Zhang Guojie , Chen Jianjun , Li Junhua , Zhang Yongfa 
Published: July 2021

Abstract
The simultaneous removal of NOx and dioxins is the frontier of environmental catalysis, which is still in the initial stage and poses several challenges. In this study, a series of CeNb3Fex/TiO2 (x = 0, 0.3, 0.6, and 1.0) catalysts were prepared by the sol-gel method and examined for the synergistic removal of NOx and chlorobenzene. The CeNb3Fe0.3/TiO2 catalyst exhibits an optimum catalytic performance, with an NOx conversion greater than 95 % at 260-380 °C. It also exhibited an optimal CB oxidation activity, in which CB promoted both the NOx conversion and N2 selectivity below 250 °C. Moreover, the more favourable ratios of Ce4+ to Ce3+, and plentiful surface adsorbed oxygen species are the reasons why CeNb3Fe0.3/TiO2 catalyst has better catalytic activity than other catalysts at lower temperature. Simultaneously, owing to the modulation of Fe to the redox properties of Ce and Nb, the large number of oxygen vacancies and acid sites, the CeNb3Fe0.3/TiO2 catalyst is is beneficial to NOx reduction and CB oxidation. Further, the results of in situ DRIFTS study reveal the NH3-SCR reactions over CeNb3Fex/TiO2 catalysts are mainly controlled by the L-H mechanism (< 200 °C) and E-R mechanism (> 200 °C), respectively.
FuzzSemNIC: A Deep Fuzzy Neural Network Semantic-enhanced Approach of Neural Image Captioning
Authors: Vo Tham 
Published: July 2021

Abstract
Neural image captioning (NIC) is considered as a primitive problem artificial intelligence (AI) in which creates a connection between computer vision (CV) and natural language processing (NLP). However, recent attribute-based and textual semantic attention based models in NIC still encounter challenges related to irrelevant concentration of the designed attention mechanism on the relationship between extracted visual features and textual representations of corresponding image’s caption. Moreover, recent NIC-based models also suffer from the uncertainties and noises of extracted visual latent features from images which sometime leads to the disruption of the given image captioning model to sufficiently attend on the correct visual concepts. To solve these challenges, in this paper, we proposed an end-to-end integrated deep fuzzy-neural network with the unified attention-based semantic-enhanced vision-language approach, called as FuzzSemNIC. To alleviate noises and ambiguities from the extracted visual features, we apply a fused deep fuzzy-based neural network architecture to effectively learn and generate the visual representations of images. Then, the learnt fuzzy-based visual embedding vectors are combined with selective attributes/concepts of images via a recurrent neural network (RNN) architecture to incorporate the fused latent visual features into captioning task. Finally, the fused visual representations are integrated with a unified vision-language encoder-decoder for handling caption generation task. Extensive experiments in benchmark NIC-based datasets demonstrate the effectiveness of our proposed FuzzSemNIC model.
Sub-Saharan African Women’s Views and Experiences of Risk Factors for Obstetric Fistula: A Qualitative Systematic Review
Authors: Bulndi Lydia Babatunde , Ireson Deborah , Adama Esther , Bayes Sara 
Published: July 2021

Abstract
Background: Obstetric fistula, also known as vesico vagina fistula (VVF), is a hole between the birth canal and the bladder or rectum caused by prolonged, obstructed labour. VVF may cause sufferers to experience chronic urinary and/or faecal incontinence, and the burden of continuing foul odour. Obstetric fistula is primarily caused by prolonged obstructed labour, which is brought about by a range of causes. Recently, it has been proposed that women’s groups and fistula survivors should suggest interventions to reduce or resolve the incidence of VVF. Objective: The objective of this review was to summarise what is reported about women’s own views and experiences of the risk factors underlying the causes of obstetric fistula. Methods: A systematic approach outlined in the Joanna Briggs institute Manual for Evidence synthesis was followed for this review, articles published within the last 11 years from 2011 to 2021 were selected against several criteria and critically appraised using JBI Critical Appraisal checklist for qualitative studies. Results: Nine studies were retained for inclusion in this review, the data were then synthesised into five themes: (1) Cultural beliefs and practices impeding safe childbirth, (2) Lack of woman’s autonomy in choices of place to birth safely, (3) Lack of accessibility and social support to safe childbirth, (4) Inexperienced birth attendants and, (5) Delayed emergency maternal care (childbirth).Conclusions. This review highlights the complexity of risk factors predisposing women to the known causes of obstetric fistula. It also illuminates the absence of women’s voices in the identification of solutions to these risks. Women are most directly affected by VVF. Therefore, their knowledge, views and experience should be considered in the development and implementation of strategies to address the issue. Exploring women’s views on this issue would enable the identification of gaps in maternity care provision, which would be of interest to community and health service leaders as well as policy makers in Sub-Saharan Africa.
Cooperation Mechanisms For A Competitive, Sustainable Food Supply Chain To Reduce Greenhouse Gas Emissions
Authors: Manteghi Yashar , Arkat Jamal , Mahmoodi Anwar 
Published: July 2021

Abstract
The food industry is one of the main emitters of greenhouse gases (GHG). The consumers of this industry are aware of the unpleasant consequences of GHG emissions such as global warming and climate change, so food supply chain members should consider mechanisms to reduce GHG emissions besides economic and social goals. This paper examines the impacts of the supply chain structure and cooperation methods on the goals and decisions of a sustainable food supply chain. The proposed supply chain consists of one manufacturer and two suppliers, competition, and cooperation between those studied with centralized and decentralized structures. A single-level problem is solved for the centralized supply chain in the first scenario. The decentralized structure is then considered for the other four scenarios, and bi-level programming is used to model competition and cooperation between the members. Computational results demonstrate that the maximum total profit of the supply chain among all the decentralized scenarios is obtained with the alliance of the manufacturer and the first supplier. It is found economical to increase the budget in the scenarios where the supply chain members competed with each other. Moreover, increasing production capacity and budget reduce GHG emissions for the supply chain members forming coalitions.
A Blended Educational Intervention Program On Pap-Test Related Behavior Among Iranian Women
Authors: Ghalavandi Shahnaz , Zarei Fatemeh , Heidarnia Alireza , Beiranvand Reza 
Published: July 2021

Abstract
Background: Cervical cancer is the fourth most common cancer among women. In 2018, 570 thousand new cases of cervical cancer occur globally. Cervical cancer screening (Pap smear testing) identifies pre-cancerous lesions at various stages. Promoting Pap smear-related behaviors with an appropriate educational method is important.Method: To assess the effect of a blended educational program to promote performing the PST among Iranian women. In a randomized control trial four main variables; knowledge, attitude, self-efficacy, and practice about PST was evaluated using a man–made questionnaire for PST. Women aged 18-49 living in Andimeshk (Khuzestan, Iran), covered by 16 health centers, and participated in study from November 2019 till April 2019. The educational intervention conducted to increasing women’s performing the PST. The experimental group received an intervention, whereas the control group received usual care. Participants were tested at four-time points: pre-test (baseline), post-test 1 (immediately after the program’s completion) post-test 2 (4 weeks after the program’s completion) and post-test 3 (12 weeks after the program completion).Results: A total of 84 women with average aged 32.27 (42 in the experimental group, 42 in the control group) were recruited from 16 health centers in Andimeshk, southern Iran. Significant group differences were found at different times in knowledge, attitude, self-efficacy, and practice about PSTConclusion: A blended method was effective in sustaining the effects of the educational program in the experimental group. The development of appropriate teaching method on restricted situation such as covid-19 pandemic to promote participation is suggested.Randomized controlled trial [IRCT20191206045626N1]
Blockchain-Based IoT Secured Energy-Efficient Collaborative Neighbor Discovery Protocol
Authors: Ye Dan 
Published: July 2021

Abstract
This paper proposes an Energy-efficient Secured Distributed Collaborative Neighbor Discovery protocol for IoT mobile sensing applications to enhance on IoT capabilities and efficiencies. Maximum throughput access control model with ultra-low-power constraints is proposed for blockchain-based IoT framework. Simulation result demonstrates the proposed protocol can achieve better discovery performance with minimum discovery latency and maximum duty cycle. Analysis of the comparison results present best choice of primes and duty cycle in the designed low-complexity algorithm.
Synergistic effect of chitosan derivative and DOPO for simultaneous improvement of flame retardancy and mechanical property of epoxy resin
Authors: Wang Junjie , Yu Xuejun , Dai Shengsong , Wang Xinyu , Pan Zhiquan , Zhou Hong 
Published: July 2021

Abstract
In this work, the effects of a chitosan-based derivative (CSA), DOPO and CSA-DOPO additives on the flammable properties of EP composites were systematically studied, where CSA was synthesized by a facile condensation between chitosan (CS) and 9-anthralaldehyde and. DOPO was 9, 10-dihydro-9-oxa-10- phosphaphenanthreene-10-oxide. The mass ratio of CS and 9-anthralaldehyde in CSA was determined by elemental analysis and theoretical calculation, which matched well with each other. Under the 8% addition in EP, EP/2.66%/5.34%DOPO sample was the only one, which passed the UL-94 rating and exhibited the highest LOI value of 36.4%. Compared with EP, the cone calorimeter test (CC) showed that the total smoke emission value and the peak heat release rate of the CSA and DOPO modified EP decreased 36.0% and 61.9%, respectively, and the residual char amount increased by 151%. The possible flame retardant mechanism of CSA/DOPO towards EP was proposed according to the results of the real time FTIR spectra at different pyrolysis temperatures, cone calorimeter and Py-GC/MS analysis for EP and EP/2.66%CSA/5.34%DOPO samples, and Raman spectra and XPS for their char residues. Moreover, the incorporation of CSA/DOPO effectively improved the mechanical properties, especially, the flexural strength was increased by 52.3%. It was proposed that CSA/DOPO plays roles in both vapor and condensed phases, and the synergistic effect of CSA and DOPO significantly improve the flame retardancy and mechanical strength of EP.
Characteristics of MPSoC Based On Dual Feedback Edge Triggered Flip Flop
Authors: D Satyaraj , V Bhanumathi 
Published: July 2021

Abstract
With the persistent scaling of semiconductor technology, the embedded multi-processor platforms lifetime reliability has been the primary concern for the industry. The advancements in technology permit several microprocessors integration, dedicated digital hardware, and at times mixed-signal circuits on a single silicon die, specifically multi-processor system-on-a-chip (MPSoC). In this paper, the design and analysis of CMOS based MPSoC is made. A CMOS based MPSoC is designed with 45nm technology. In this design, ADC converter is used in which 10-bit data is given as input, and are converted into digital data. A double feedback edge triggered flip flop is designed. The implementation of flip flop, based on both feedback and triggering process, is more effective in the elimination of error occurrence. Power Gating (PG) technique is proposed which exploits the stacking effect to achieve high energy efficiency. Binary controlled stacked SRAM cell, based on a parallel cross-coupling feedback controller, is implemented to reduce the leakage loss and ground bouncing noise. An inverter, based on NMOS and CMOS, is used for the inverting process. The input voltage of 5v is given and is varied. Then, a 2-bit counter is employed, which is responsible for counting down or counting up. The counter should count down if the signal is high. The counter should count up, if the signal is low. Thus, this design will be helpful in the implementation of compact processing system which may also be employed for many real-time applications where there is a need of compact device. The benefits of this multi processors integration will be helpful in speeding the process thereby reducing the leakage power loss, power consumption, delay factor and so on. The analysis of performance is carried out using CMOS based Tanner EDA, and the outcomes are represented.