bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Driven Prediction of the Minimum Miscibility Pressure (MMP) Between Mixtures of Oil and Gas Using Deep Learning
Authors: Pham Quynh C. , Trinh Trung Q. , James Lesley A.
Published: October 2021

Knowing the minimum miscibility pressure (MMP) between different oil and gas compositions is important to predict reservoir performance for gas-based injection as a secondary gas flood or tertiary technique such as water alternating gas (WAG). Machine Learning (ML) has been used widely and has been proven efficient in estimating these properties. In this work, the development of ML as well as commonly used algorithms in predicting bubble point pressure and oil formation volume factor is reviewed. Just a few studies are found before 2000. From 2001 to 2010, the use of ML increased steadily. However, a sharp augmentation in number of articles is observed from 2011 up to now. More than that, Artificial Neural Networks (ANN) is the most employed algorithm with 23 applications out of 38 studied papers.

In addition, for the first time, deep learning- multiple fully connected networks algorithm is implemented to predict the MMP for oil and gas through 250 datasets covering a wide range of CO2 concentration from 0 to 100% in the injected gas. The wide range of CO2 concentrations is to cover all modes of gas injection from a pure CO2 flood to CO2 being negligibly present when injecting a sweet gas. The model is then optimized using Early Stopping and K-Fold Cross Validation techniques, showing the average result of k splitting data sets. The eight input parameters are as follows: reservoir temperature, oil characteristics (molecular weight, ratio of volatile components, and intermediate components), and gas characteristics (mole percentage of CO2, Cl, N2, H2S, C2+). The proposed model is compared with other Machine Learning Techniques such as Decision Tree and Random Forest Regression. The results show that reservoir temperature, the amount of CO2 and Cl in the gas source were the parameters to affect MMP the most significantly. The presence of CO2 in the gas stream will lower the MMP significantly. The Deep Learning model obtained an R2 = 0.96 and a Root Mean Square Error (RMSE) of 5.4%. Through Early Stopping technique, the proposed model reach the R2 result of 0.97 in 7 epochs. An R2 value of 0.954 was found using K-Fold Cross Validation technique, resulting in a good model generated by five folds data set. The model built by Deep Learning algorithm was more accurate than these ones built by Decision Tree and Random Forest Regression, which had an R2 value below 0.9 and RMSE larger than 10%. This work goes beyond other prior research by adding a ‘stopping point’ concept, increasing the overall performance of the methods for general applications, and considering the full range of CO2 in the gas stream.
Development of a Real-Time Simulation Model for an ASD Tug
Authors: Jin Yuting , Zheng Yingying , Yiew Lucas J. , Magee Allan R.
Published: October 2021

A hydrodynamic digital twin of vessel can be used to replicate the behaviour and response of the vessel in a virtual environment. In this paper, a real-time simulation model (RTSM) for an azimuth stern-drive (ASD) tug has been developed for simulating the hydrodynamic performance of the vessel under a range of environmental conditions. Based on the framework of a 4-DoF MMG manoeuvring model, the RTSM comprises manoeuvring, propulsion and environmental loads which are parameterised using numerical results from a combination of computational fluid dynamics (CFD) modelling work, including virtual planar motion mechanism (vPMM), seakeeping analysis, wind drag prediction and propulsion modelling. The RTSM is used to demonstrate the manoeuvrability of the vessel in calm water and under external loads from waves, winds and currents.
On State-of-the-Art and Alternative Energy-Efficient Lifting Technologies for Deep Sea Mining
Authors: Berge Vegard , Helgesen Christoffer R. , Ivanov Dimitar Z. , Jahren Marianne H. , Opstad Pauline S. , Sletten Petter S. , Nejad Amir R.
Published: October 2021

The main aim of this article is to study and evaluate existing and potential lifting technologies used in deep sea mining. The lifting is an energy intensive operation and can be decisive if a mining operation is feasible or not. An additional goal for this study was to see if it can be rewarding to utilise the potential energy in the returned masses, because the excess material has to be returned to the ocean bottom so that no microorganisms would be released on the ocean surface. After a general study of possible solutions, regulations and existing projects, the technologies further explored in this study include an in-line pump system, a tubular-disc conveyor and a bucket conveyor, all with modifications to suit deep sea mining. To compare different lifting technologies an estimate for power consumption to lift the mined material from 1000 m depth at three different rates, namely 75, 150, 300 tons/hour, is considered. To calculate the power requirements realistic system parameters are considered and internal system resistance are also taken into account. The results show that the power consumption for the tubular and bucket conveyor are almost in the same range, while the pump system requires about two to three times more power than them. This indicates that there are feasible alternatives to hydraulic lifting by adapting existing onshore based technologies for deep sea mining.
Fibronectin adsorption on polystyrene sulfonate-grafted polyester using atomic force microscope
Authors: Nguyen Tuan Ngoc , Rangel André , Migonney Véronique
Published: October 2021

Cell adhesion and growth over prostheses are strongly influenced by the adsorption and conformation of adhesive proteins from blood and extracellular matrix, such as fibronectin. This key behavior can be possibly exploited to develop a prosthetic ligament based on the surface bioactivation of biodegradable materials. In this work, surface functionalization was performed by grafting poly(sodium 4-styrene sulfonate) on polyethylene terephthalate and polycaprolactone using a thermal surface-initiated atom transfer radical polymerization grafting technique. The morphology and mechanical properties of the adsorbed fibronectin in the presence of albumin were studied by atomic force microscopy. The morphology of fibronectin on two kinds of polyester surfaces was similar. However, the study results showed a remarkable conformation change of fibronectin when adsorbed onto the nongrafted or grafted surface, leading to an increase in cell adhesion and organization in the second case. This research provided evidence of the relationship between the morphology change of fibronectin to the enhancement of the cell adhesion and spreading on the grafted surface of polyester.
Resolvent-based modeling of turbulent jet noise
Authors: Pickering Ethan , Towne Aaron , Jordan Peter , Colonius Tim
Published: October 2021

Resolvent analysis has demonstrated encouraging results for modeling coherent structures in jets when compared against their data-educed counterparts from high-fidelity large-eddy simulations (LES). We formulate resolvent analysis as an acoustic analogy that relates the near-field resolvent forcing to the near- and far-field pressure. We use an LES database of round, isothermal, Mach 0.9 and 1.5 jets to produce an ensemble of realizations for the acoustic field that we project onto a limited set of resolvent modes. In the near-field, we perform projections on a restricted acoustic output domain, r/D=[5,6], while the far-field projections are performed on a Kirchhoff surface comprising a 100-diameter arc centered at the nozzle. This allows the LES realizations to be expressed in the resolvent basis via a data-deduced, low-rank, cross-spectral density matrix. We find that a single resolvent mode reconstructs the most energetic regions of the acoustic field across Strouhal numbers, St=[0−1], and azimuthal wavenumbers, m=[0,2]. Finally, we present a simple function that results in a rank-1 resolvent model agreeing within 2 dB of the peak noise for both jets.
Influence of residual stress and texture on the resonances of polycrystalline metals
Authors: Kube Christopher M. , Gillespie Jared , Cherry Matthew
Published: October 2021

Efficient nondestructive qualification of additively manufactured (AM) metallic parts is vital for the current and future adoption of AM parts throughout several industries. Resonant ultrasound spectroscopy (RUS) is a promising method for the qualification and characterization of AM parts. Although the adoption of RUS in this setting is emerging, the influence of residual stress and texture, which are both very common in AM parts, is not well understood. In this article, a stress- and texture-dependent constitutive relation is used to study the influence on free vibrational behavior in a RUS setting. The results that follow from using the Rayleigh-Ritz method and finite element analysis suggest that residual stress and texture have a significant impact on the resonance frequencies and mode shapes. These results support the potential of using RUS to sense texture and residual stress in AM parts. Additionally, these results suggest that RUS measurements could be misinterpreted when the stress and texture are not accounted for, which could lead to a false positive/negative diagnosis when qualifying AM parts.
Safety and Relational Continuity in Sport for Development With Marginalized Young People
Authors: Raw Katherine , Sherry Emma , Rowe Katie , Turner Shelley
Published: October 2021

Sport for development (SFD) is often used to engage young people in programs that target a range of issues, such as disengagement or marginalization. However, if designed inappropriately, SFD can do more harm than good by reinforcing social divides or past trauma. Consequently, scholars suggest that future research should delve beyond program impacts and examine the importance of safe spaces within SFD programs. In light of this, we explored how program design, delivery, and staffing can impact the creation and maintenance of a safe space and continuity in an SFD program targeting young people and how this can change over time. Adopting an ethnographic approach, findings highlighted how safety and relational continuity was fostered via social networks, support, belonging, and external opportunities. Conversely, instability and discontinuity became an issue with staff departures and participants’ personal difficulties.
Dominant 100,000-year precipitation cyclicity in a late Miocene lake from northeast Tibet
Authors: Nie Junsheng , Garzione Carmala , Su Qingda , Liu Qingsong , Zhang Rui , Heslop David , Necula Cristian , Zhang Shihong , Song Yougui , Luo Zeng
Published: October 2021

Paleoclimatic records reveal >6–million year earlier onset of dominant 100–thousand year eccentricity cycles.
An Island of Evolutionary Exuberance
Authors: Robinson John G.
Published: October 2021

The Natural History of Madagascar
Steven M. Goodman and Jonathan P. Benstead, Eds.
. University of Chicago Press, Chicago, 2003. 1731 pp. $85, £59.50. ISBN 0-226-30306-3.

Besides providing a comprehensive account of Madagascar's diverse and highly endemic flora and fauna, the nearly 300 authors cover such topics as the history of scientific work on the island, geology, human ecology, and conservation efforts.
Electrophoretic Interaction Studies by the Stable-Flow Free-Boundary Method
Authors: Mel Howard C.
Published: October 2021

A new method is described for rapidly mixing and unmixing (separating) components in free solution, enabling studies to be carried out on interactions of the components during their time of contact (presently as short as a few seconds). This method combines a multilayer, stable-flow fluid system with one (or more) transversely acting. force fields, commonly an electric field, and is applicable to small molecules, large molecules, and cells.
Evoked Brain Potentials as Indicators of Decision-Making
Authors: Begleiter Henri , Porjesz Bernice
Published: October 2021

The effects of decision-making processes on evoked brain potentials recorded at the vertex were studied in human subjects. Significantly different visual evoked potentials to the same physical stimulus were obtained in trials that resulted in different behavioral decisions. The results suggest that certain characteristics of evoked potentials may perhaps be used as indicators of specific behavioral outcomes.
Fatigue Failure in Polysilicon Not Due to Simple Stress Corrosion Cracking
Authors: Kahn H. , Ballarini R. , Bellante J. J. , Heuer A. H.
Published: October 2021

In the absence of a corrosive environment, brittle materials such as silicon should be immune to cyclic fatigue. However, fatigue effects are well known in micrometer-sized polycrystalline silicon (polysilicon) samples tested in air. To investigate the origins of this phenomenon in polysilicon, we developed a fixed-grip fracture mechanics microspecimen but could find no evidence of static stress corrosion cracking. The environmental sensitivity of the fatigue resistance was also investigated under cyclic loading. For low-cycle fatigue, the behavior is independent of the ambient conditions, whether air or vacuum, but is strongly influenced by the ratio of compressive to tensile stresses experienced during each cycle. The fatigue damage most likely originates from contact stresses at processing-related surface asperities; subcritical crack growth then ensues during further cyclic loading. The lower far-field stresses involved in high-cycle fatigue induce reduced levels of fatigue damage. Under these conditions, a corrosive ambient such as laboratory air exacerbates the fatigue process. Without cyclic loading, polysilicon does not undergo stress corrosion cracking.
Self-Inhibitory Peptides Targeting the Neisseria gonorrhoeae MtrCDE Efflux Pump Increase Antibiotic Susceptibility
Authors: Evert Benjamin J. , Slesarenko Valentin A. , Punnasseril Jilsy M. J. , Taha  , Zhan Jian , Zhou Yaoqi , Semchenko Evgeny A. , Seib Kate L.
Published: October 2021

Neisseria gonorrhoeae
is an increasing public health threat due to its rapidly rising incidence and antibiotic resistance. There are an estimated 106 million cases per year worldwide, there is no vaccine available to prevent infection, and
N. gonorrhoeae
strains that are resistant to all antibiotics routinely used to treat the infection have emerged.
Moxidectin and Ivermectin Inhibit SARS-CoV-2 Replication in Vero E6 Cells but Not in Human Primary Bronchial Epithelial Cells
Authors: Dinesh Kumar Nilima , ter Ellen Bram M. , Bouma Ellen M. , Troost Berit , van de Pol Denise P. I. , van der Ende-Metselaar Heidi H. , van Gosliga Djoke , Apperloo Leonie , Carpaij Orestes A. , van den Berge Maarten , Nawijn Martijn C. , Stienstra Ymkje , Rodenhuis-Zybert Izabela A. , Smit Jolanda M.
Published: October 2021

Antiviral therapies are urgently needed to treat and limit the development of severe COVID-19 disease. Ivermectin, a broad-spectrum anti-parasitic agent, has been shown to have anti-SARS-CoV-2 activity in Vero cells at a concentration of 5 μM.
Differential Ubiquitination as an Effective Strategy Employed by the Blood-Brain Barrier for Prevention of Bacterial Transcytosis
Authors: Bhutda Smita , Ghosh Sourav , Sinha Akash Raj , Santra Shweta , Hiray Aishwarya , Banerjee Anirban
Published: October 2021

The blood-brain barrier (BBB) represents a unique cellular barrier that provides structural integrity and protection to the CNS from pathogen invasion. Recently, ubiquitination, which is key for cellular homeostasis, was shown to be involved in pathogen clearance.
Effects of chronic ethnic discrimination in the daily life of Turkish immigrants living in Austria: study protocol of a 30-day ambulatory assessment study
Authors: Goreis Andreas , Nater Urs M , Mewes Ricarda
Published: October 2021

Introduction

Chronic ethnic discrimination is associated with negative mental and physical health outcomes in ethnic minority groups. It is assumed that suffering from repeated discriminatory events leads, over time, to psychological consequences such as higher perceived stress, higher negative affect and lower positive affect. Higher stress reactivity to non-discriminatory stressors, such as daily hassles, as well as anticipation and avoidance behaviour regarding discriminatory events, may further contribute to the overall burden for affected individuals. Studies investigating chronic ethnic discrimination and its psychological consequences in the daily lives of affected persons are lacking. Here, we present a study protocol to investigate the impact of chronic ethnic discrimination and acute discriminatory events in the daily lives of Turkish immigrants living in Austria, using an ambulatory assessment design. The feasibility of our study design was tested and confirmed in a pilot study (n=10).

Methods and analysis

Ninety male Turkish immigrants will complete daily questionnaires for 30 days. Participants will indicate stress, perceived discrimination, negative and positive affect, daily hassles, anticipation and avoidance behaviour, as well as rumination with regard to discriminatory events on a daily basis. Furthermore, they will use preprogrammed iPods to assess acute discriminatory events in real time. Our hypotheses will be tested using multilevel analyses.

Ethics and dissemination

This study has been approved by the institutional review board of the University of Vienna (reference number 00358). Results will be presented at conferences and submitted for publication in a peer-reviewed journal.
How to iGuide: flat panel detector, CT-assisted, minimally invasive evacuation of intracranial hematomas
Authors: Dornbos III David , Halabi Cathra , DiNitto Julie , Mueller Kerstin , Fiorella David , Cooke Daniel L , Arthur Adam S
Published: October 2021

Evidence is growing to support minimally invasive surgical evacuation of intraparenchymal hematomas, particularly those with minimal residual hematoma volumes following evacuation. To maximize the potential for neurologic recovery, it is imperative that the trajectory for access to the hematoma minimizes disruption of normal parenchyma. Flat panel detector CT-based navigation and needle guidance software provides a platform that uses flat panel detector CT imaging obtained on the angiography table to aid reliable and safe access to the hematoma. In addition to providing a high degree of accuracy, this method also allows convenient and rapid re-imaging to assess navigation accuracy and the degree of hematoma evacuation prior to procedural completion. We provide a practical review of thesyngoiGuide needle guidance software and the methodology for incorporating its use, and the software of other vendors, in a variety of minimally invasive methods for evacuation of intraparenchymal hematomas.
CompOSE
Authors: Typel Stefan
Published: October 2021

CompOSE is a data base of equations of state (EoS) with detailed information on the thermodynamic, compositional and microscopic properties of dense matter that can be used in astrophysical simulations. It is available online and hosted by the Observatoire de Paris at Meudon. The development and main features of CompOSE are presented in this overview. Besides the furnishing of data tables in various EoS categories using a specific, flexible format, computational tools are provided to extract and manipulate the stored data either by employing codes for download or through a web interface. Comprehensive documentations of the EoS models with links to the original literature and an extensive manual are available. Prospects for the future development are indicated.
The NEUT neutrino interaction simulation program library
Authors: Hayato Yoshinari , Pickering Luke
Published: October 2021

is a neutrino–nucleus interaction simulation program library. It can be used to simulate interactions for neutrinos with between 100 MeV and a few TeV of energy. is also capable of simulating hadron interactions within a nucleus and is used to model nucleon decay and hadron–nucleus interactions for particle propagation in detector simulations. This article describes the range of interactions modelled and how each is implemented.
Kuramoto Model-Based Analysis Reveals Oxytocin Effects on Brain Network Dynamics
Authors: Zheng Shuhan , Liang Zhichao , Qu Youzhi , Wu Qingyuan , Wu Haiyan , Liu Quanying
Published: October 2021

The oxytocin effects on large-scale brain networks such as Default Mode Network (DMN) and Frontoparietal Network (FPN) have been largely studied using fMRI data. However, these studies are mainly based on the statistical correlation or Bayesian causality inference, lacking interpretability at the physical and neuroscience level. Here, we propose a physics-based framework of the Kuramoto model to investigate oxytocin effects on the phase dynamic neural coupling in DMN and FPN. Testing on fMRI data of 59 participants administrated with either oxytocin or placebo, we demonstrate that oxytocin changes the topology of brain communities in DMN and FPN, leading to higher synchronization in the FPN and lower synchronization in the DMN, as well as a higher variance of the coupling strength within the DMN and more flexible coupling patterns at group level. These results together indicate that oxytocin may increase the ability to overcome the corresponding internal oscillation dispersion and support the flexibility in neural synchrony in various social contexts, providing new evidence for explaining the oxytocin modulated social behaviors. Our proposed Kuramoto model-based framework can be a potential tool in network neuroscience and offers physical and neural insights into phase dynamics of the brain.
AC conductivity of superionic thallium sulfide crystals exposed to γ-irradiation
Authors: Sardarly R. M. , Salmanov F. T. , Aliyeva N. A. , Mehdiyeva R. N. , Gakhramanova S. M.
Published: October 2021

The frequency dependence of the thallium sulfide (TlS) crystal impedance is analyzed in wide frequency and temperature range for the hopping and superionic conduction mechanisms. It has been established that in weak alternating electric fields, there is a hopping mechanism of charge transfer. The use of impedance spectroscopy methods in TlS crystals, at temperatures of 300, 350 and 400 K in the frequency range of 2*106 Hz and subjected to [Formula: see text]-irradiation doses 0, 0.25 and 0.75 MGy charge transfer processes, has been investigated. Hodographs constructed from the data of experimental measurements of 400 K, in the low-frequency region ([Formula: see text] Hz) and regardless of the absorbed gamma quanta, indicating additional contributions to the conductivity, presumably corresponds to the fact that in the frequency range of the applied signal, carrier diffusion does not reach the diffuse layer. This type of hodographs at low frequencies is characteristic of the Warburg impedance.
Teleparallel gravity: Effects of torsion in 6D braneworlds
Authors: Moreira A. R. P. , Silva J. E. G. , Almeida C. A. S.
Published: October 2021

Braneworld models are interesting theoretical and phenomenological frameworks to search for new physics beyond the standard model of particles and cosmology. In this work, we discuss braneworld models whose gravitational dynamics is governed by teleparallel [Formula: see text] gravities. Here, we emphasize a codimension two-axisymmetric model, also known as a string-like brane. Likewise, in the 5D domain-wall models, the [Formula: see text] gravitational modification leads to a phase transition on the perfect fluid source providing a brane-splitting mechanism. Furthermore, the torsion changes the gravitational perturbations. The torsion produces new potential wells inside the brane core leading to a massless mode more localized around the ring structures. In addition, the torsion keeps a gapless nonlocalizable and a stable tower of massive modes in the bulk.
ANALYSIS OF TIME-FRACTIONAL KAWAHARA EQUATION UNDER MITTAG-LEFFLER POWER LAW
Authors: RAHMAN MATI UR , ARFAN MUHAMMAD , DEEBANI WEJDAN , KUMAM POOM , SHAH ZAHIR
Published: October 2021

In this paper, we study a newly updated nonlinear fractional Kawahara equation (KE) using Atangana–Baleanu fractional operator in the sense of Caputo (ABC). To find the approximate solution, one of the famous techniques of the Laplace Adomian decomposition method (LADM) is used along with a time-fractional derivative. For evaluation, the required quantity is decomposing into small particles along with the application of Adomian polynomial to the nonlinear term. By the addition of the first few evaluating terms, the required convergent quantity is obtained. To explain the authenticity and the manageability of the procedure, few examples are present at different fractional orders both in three and two dimensions. Further, to compare the obtained results between fractional derivative and integer derivative, some graphical presentations are given. So, the newly updated version of the KE equation is analyzed in fraction operator providing the whole density of the total dynamics at any fractional value between two different integers.
Customers’ Intention in Internet Banking Adoption: The Moderating Effect of Demographic Characteristics
Authors: Ur Rashid Md. Harun , Hossain Md. Arafat , Ahmad Afzal , Ahmed Zobayer
Published: October 2021

The growing number of internet banking (i-banking) users in Bangladesh requires examining their behavioral intention (BI) to adopt i-banking services. This study aims to investigate the factors that influence the customers’ intention in i-banking adoption encompassing the moderating effect of demographic characteristics. This study uses an expansive approach of the Unified Theory of Acceptance and Use of Technology (UTAUT) model with customer satisfaction. The structural equation modeling (SEM) has been used to analyze the data collected from the internet banking users of Bangladesh. Findings of the study conclude that the higher the level of performance expectancy (PE), effort expectancy (EE) and social influence (SI), the greater the level of customers’ inclination to adopt i-banking. Whereas, facilitating condition negatively affects their BI in i-banking adoption. Moreover, this study finds a positive and significant impact of system, service and information quality and security, privacy and trust (SPT) on customers’ satisfaction, which, in turn, substantially influence their intention toward i-banking adoption. While investigating the moderating effect of demographic characteristics, this study finds that all categories of customers, regardless of their age, gender, experience and education, are influenced by the customers’ satisfaction of services qualities and trust perception in i-banking adoption. Therefore, it is suggested to the policymakers that they should take such initiatives in designing the i-banking system that satisfy the customers’ expectations.
Factors Affecting Cloud Computing Adoption and Continuance Intention of Students in Thailand
Authors: Sithipolvanichgul Juthamon , Chen Charlie , Land Judy , Ractham Peter
Published: October 2021

An increasing number of higher education institutions have embraced Cloud Computing Services (CCS) to better respond to the issues arising from the COVID-19 pandemic. Cloud computing has helped to ease the process and lower the cost of offering online education and hybrid learning. However, some universities in Thailand face cloud computing adoption challenges because students lack awareness of the benefits and risks of CCS. Therefore, it is vital to identify the critical factors affecting the initial and continuance adoption of CCS by students in less developed countries. This study adopts a trade-off lens to assess the impact of the perceived usefulness and perceived risks regarding students’ attitudes toward the initial and continuing adoption of CCS. Using a survey of CCS from a large public university in Thailand, we found that performance expectation and effort expectation positively affect perceived usefulness, and that authentication risks positively affect perceived risks. We also found that perceived usefulness rather than perceived risks is a deciding factor in adopting CCS. Higher education institutions in Thailand can accelerate the adoption of CCS by improving students’ perceived performance and reducing the perceived risks.
Nanoarchitectonics with porphyrins and related molecules
Authors: Ariga Katsuhiko
Published: October 2021

An emerging concept, nanoarchitectonics, is supposed to work on the preparation of functional materials systems from nanoscale components. Because porphyrin derivatives show their importance in many research targets, discussions on nanoarchitectonics with porphyrins and related molecules would provide meaningful opportunities to consider effective usages of the nanoarchitectonics. This review article explains various examples of nanoarchitectonics approaches with porphyrin derivatives. The examples are especially focused on two topics: (i) materials nanoarchitectonics for nanofibers, metal-organic frameworks, covalent organic frameworks, and hydrogen-bonded organic frameworks; (ii) interfacial nanoarchitectonics for surface monolayers (self-assembled monolayers), Langmuir-Blodgett films, and layer-by-layer assemblies. Functions and properties can be enhanced upon their organization in specific dimensions and arrangements in nanostructured frameworks. In many cases, interface-specific organization would lead to advanced performances with high efficiency and specificity. Even though only limited examples are described here, various possibilities are actually suggested. Not limited to porphyrin families, nanoarchitectonics for functional materials has to be considered with a wide range of materials.
Heuristic-Assisted BERT for Twitter Sentiment Analysis
Authors: Yenduri Gokul , Rajakumar B. R. , Praghash K. , Binu D.
Published: October 2021

The identification of opinions and sentiments from tweets is termed as “Twitter Sentiment Analysis (TSA)”. The major process of TSA is to determine the sentiment or polarity of the tweet and then classifying them into a negative or positive tweet. There are several methods introduced for carrying out TSA, however, it remains to be challenging due to slang words, modern accents, grammatical and spelling mistakes, and other issues that could not be solved by existing techniques. This work develops a novel customized BERT-oriented sentiment classification that encompasses two main phases: pre-processing and tokenization, and a “Customized Bidirectional Encoder Representations from Transformers (BERT)”-based classification. At first, the gathered raw tweets are pre-processed under stop-word removal, stemming and blank space removal. After pre-processing, the semantic words are obtained, from which the meaningful words (tokens) are extracted in the tokenization phase. Consequently, these extracted tokens are classified via optimized BERT, where biases and weight are tuned optimally by Particle-Assisted Circle Updating Position (PA-CUP). Moreover, the maximal sequence length of the BERT encoder is updated using standard PA-CUP. Finally, the performance analysis is carried out to substantiate the enhancement of the proposed model.
Operations on Intuitionistic Fuzzy Graphs
Authors: Mordeson John N. , Mathew Sunil , Gayathri G.
Published: October 2021

In this paper, we determine operations on intuitionistic fuzzy graphs. The purpose is to apply the results to the combination of human trafficking routes. However, we use arbitrary dual [Formula: see text]-norms and [Formula: see text]-conorms to form these combinations since they determine more accurate models than maximum and minimum. We illustrate our results by combining two human trafficking routes from Central America to the United States.
New Development of Permanent Magnets Through Grain Boundary Diffusion and Nanostructuring
Authors: Chaudhary Varun , Piramanayagam S. N.
Published: October 2021

High-performance permanent magnets (PMs) have gained high and growing interest due to their excessive demand in energy conversion systems and electric vehicles. PM-based electric machines exhibit great advantages over traditional motors due to their high efficiency of energy conversion. Nd–Fe–B magnet is the best available magnet in terms of energy-product at room temperature. Replacement of Nd by heavy rare earth (HRE) and of Fe by Co results in an enhanced anisotropy field and an improved thermal stability, but also increases the production costs. Developing a strong PM with minimum use of HRE elements is required due to their high cost, low availability and issues associated with international politics. Grain boundary diffusion (GBD) process allows the HRE to diffuse around the grain boundaries, unlike adding expensive HRE to the middle of a grain. Here, we review the recent progress in PMs, especially the novel development of grain boundary-diffused magnets and nanostructured magnets. GBD processes using RE, fluorides or hydrides of RE and eutectic alloys are discussed. Development of nanostructured PMs using physical and chemical methods such as melt spinning, high-energy ball milling, surfactant-assisted ball milling, mechanochemical method, etc. is elucidated. The current and future trends in the area of high performance permanent magnets are outlined.
Complete 3-dimensional λ-translators in the Euclidean space ℝ4
Authors: Li Zhi , Wei Guoxin , Chen Gangyi
Published: October 2021

In this paper, we obtain the classification theorems for 3-dimensional complete [Formula: see text]-translators [Formula: see text] with constant squared norm [Formula: see text] of the second fundamental form and constant [Formula: see text] in the Euclidean space [Formula: see text].
Optical neuroimaging of executive function impairments in food addiction
Authors: Couto Tania Alexandra , Wang Meng-Yun , Yuan Zhen
Published: October 2021

This study investigated the neural mechanisms located in the prefrontal cortex (PFC) involved in maintaining addictive-like eating behavior. Therefore, we aimed to fill a gap in the existing literature and help clarify the food addiction (FA) cycle by inspecting the relationship between the executive control and psychopathology involved in the FA cycle. Twenty-three students recruited from the University of Macau participated in this study. We investigated a hemodynamic response captured by NIRS recordings, activated during [Formula: see text]-back, set-shifting, and go/no-go paradigms. Moreover, we investigated the FA symptoms through the YFAS clinical inventory to better understand the relationship between hemodynamic response and clinical symptomatology in college students. First, the hemodynamic findings confirm that altered cognitive control in executive function performance appears to be linked to addictive-like eating behaviors, which in turn confirms a circuit similarity between FA and the substance abuse population (SUD) as reported in previous fMRI studies. Secondly, the psychological findings confirm the significant association between the working memory deficits and symptoms severity which suggest the role of self-control and regulation in limiting the storage resources as a potential trigger to develop overconsumption episodes in the FA cycle. Our findings highlight how disrupted self-control and regulation of craving and negative affect induced by mental imagery might shape and overload the working memory storage as a potential trigger to develop binge eating episodes to maintain the FA cycle. In conclusion, the use of fNIRS in the context of eating disorders studies represents a valuable application, noninvasive, and patient-friendly tool, providing new insights into understanding the addiction cycle and treatment guidelines.
Improved harmony search optimization-based TCSC placement for loss minimization
Authors: Srilakshmi Koganti , Pandian Arun Nambi , Babu P. Ravi , Palanivelu Aravindhababu
Published: October 2021

Placement of thyristor-controlled series compensator (TCSC) devices at appropriate lines reduces the net transmission loss (NTL) through injecting suitable series voltage in the transmission lines. The classical approaches for placing TCSCs in the power network may not provide optimal solution and face intricacies in solving the problem with multifarious constraints and vehemently place all the allotted TCSCs in the network. This paper presents a method employing improved harmony search optimization (MHSO), an evolutionary algorithm, for solving TCSC problem (TCSCP) and places the vital number of SVCs from the allotted ones. This paper presents the solution of TCSCP problem of 14, 30 and 57 bus systems and compares the performances in various aspects with existing TCSCP methods.
The Nonlinear Impact of Institutional Quality on International Reserves: International Evidence
Authors: Law Chee-Hong , Soon Siew-Voon , Ehigiamusoe K. U.
Published: October 2021

This paper investigates the nonlinear effect of institutional quality on the holding of international reserves by applying the two-step system generalized method of moments on data consisting of 67 countries from 1996 to 2016. The hypothesis is that the association between institutional quality and international reserves has an inverted U pattern. The coefficient sign of the institutional quality and its square term supports the hypothesis. Besides, the marginal effects suggest that the higher the institutional quality index, the lower the demand for reserves. The outputs indicate the importance of good institutional quality in reducing the overdependence on international reserves.
Multispectral Visual Odometry Using SVSF for Mobile Robot Localization
Authors: Fahima Benyounes , Abdelkrim Nemra
Published: October 2021

In this paper, we propose a novel method for mobile robot localization and navigation based on multispectral visual odometry (MVO). The proposed approach consists in combining visible and infrared images to localize the mobile robot under different conditions (day, night, indoor and outdoor). The depth image acquired by the Kinect sensor is very sensitive for IR luminosity, which makes it not very useful for outdoor localization. So, we propose an efficient solution for the aforementioned Kinect limitation based on three navigation modes: indoor localization based on RGB/depth images, night localization based on depth/IR images and outdoor localization using multispectral stereovision RGB/IR. For automatic selection of the appropriate navigation modes, we proposed a fuzzy logic controller based on images’ energies. To overcome the limitation of the multimodal visual navigation (MMVN) especially during navigation mode switching, a smooth variable structure filter (SVSF) is implemented to fuse the MVO pose with the wheel odometry (WO) pose based on the variable structure theory. The proposed approaches are validated with success experimentally for trajectory tracking using the mobile robot (Pioneer P3-AT).
Cardiometabolic Benefits of Intermittent Fasting
Authors: Varady Krista A. , Cienfuegos Sofia , Ezpeleta Mark , Gabel Kelsey
Published: October 2021

This review aims to summarize the effects of intermittent fasting on markers of cardiometabolic health in humans. All forms of fasting reviewed here—alternate-day fasting (ADF), the 5:2 diet, and time-restricted eating (TRE)—produced mild to moderate weight loss (1–8% from baseline) and consistent reductions in energy intake (10–30% from baseline). These regimens may benefit cardiometabolic health by decreasing blood pressure, insulin resistance, and oxidative stress. Low-density lipoprotein cholesterol and triglyceride levels are also lowered, but findings are variable. Other health benefits, such as improved appetite regulation and favorable changes in the diversity of the gut microbiome, have also been demonstrated, but evidence for these effects is limited. Intermittent fasting is generally safe and does not result in energy level disturbances or increased disordered eating behaviors. In summary, intermittent fasting is a safe diet therapy that can produce clinically significant weight loss (>5%) and improve several markers of metabolic health in individuals with obesity.
Metabolic and Signaling Roles of Ketone Bodies in Health and Disease
Authors: Puchalska Patrycja , Crawford Peter A.
Published: October 2021

Ketone bodies play significant roles in organismal energy homeostasis, serving as oxidative fuels, modulators of redox potential, lipogenic precursors, and signals, primarily during states of low carbohydrate availability. Efforts to enhance wellness and ameliorate disease via nutritional, chronobiological, and pharmacological interventions have markedly intensified interest in ketone body metabolism. The two ketone body redox partners, acetoacetate and D-β-hydroxybutyrate, serve distinct metabolic and signaling roles in biological systems. We discuss the pleiotropic roles played by both of these ketones in health and disease. While enthusiasm is warranted, prudent procession through therapeutic applications of ketogenic and ketone therapies is also advised, as a range of metabolic and signaling consequences continue to emerge. Organ-specific and cell-type-specific effects of ketone bodies are important to consider as prospective therapeutic and wellness applications increase.
Microbial Flavonoid Metabolism: A Cardiometabolic Disease Perspective
Authors: Osborn Lucas J. , Claesen Jan , Brown J. Mark
Published: October 2021

Cardiometabolic disease (CMD) is a leading cause of death worldwide and encompasses the inflammatory metabolic disorders of obesity, type 2 diabetes mellitus, nonalcoholic fatty liver disease, and cardiovascular disease. Flavonoids are polyphenolic plant metabolites that are abundantly present in fruits and vegetables and have biologically relevant protective effects in a number of cardiometabolic disorders. Several epidemiological studies underscored a negative association between dietary flavonoid consumption and the propensity to develop CMD. Recent studies elucidated the contribution of the gut microbiota in metabolizing dietary intake as it relates to CMD. Importantly, the biological efficacy of flavonoids in humans and animal models alike is linked to the gut microbial community. Herein, we discuss the opportunities and challenges of leveraging flavonoid intake as a potential strategy to prevent and treat CMD in a gut microbe–dependent manner, with special emphasis on flavonoid-derived microbial metabolites.
The effectiveness of combining e-learning, peer teaching, and flipped classroom for delivering a physiology laboratory course to nursing students
Authors: Meng Xiang-hong , Xu Xiao-yong , Chen Hui-lin , Zhang Lin
Published: October 2021

The Internet and 5G era makes e-learning a vital part of modern education, and extensive evidence has shown that peer teaching and flipped classroom contribute to increased success in medical teaching. However, the applicability of these pedagogies in laboratory courses remains largely unexplored. This study aimed to evaluate the academic performance, proficiency in procedural skills, and perception of nursing students in physiology laboratory classes delivered with nontraditional classroom (NTC) pedagogies comprising the combination of e-learning, peer teaching, and flipped classroom. Each class was subdivided into two equal halves by successive student identification (ID) number and randomly assigned to the control or NTC group. Compared to the control class, NTC teaching significantly enhanced mean score of six preclass tests (67.77 ± 9.83 vs. 62.94 ± 9.70), with “B” graders increased obviously, suggesting that preclass e-learning was more effective than textbook-based preview, especially for general grasp of the topic. Similarly, average scores on postclass quizzes in the NTC group were improved (79.40 ± 9.12 vs. 74.43 ± 8.88). Lesser time cost and higher success rates were observed in trachea, artery, and heart catheterizations in the NTC group, although no disparities were found in ureteral intubation. The majority (∼74%) of students supported the reform and shared positive experiences with NTC methodology. They reported that virtual experiments and self-paced procedural skill videos affected pre- and in-class learning outcomes most, respectively. These findings indicated that NTC pedagogy was workable to improve students’ subject scores and proficiency in complicated and direct-viewing procedural skills and was favorable to students.
Hypernatremia and intercalated disc edema synergistically exacerbate long-QT syndrome type 3 phenotype
Authors: Wu Xiaobo , Hoeker Gregory S. , Blair Grace A. , King D. Ryan , Gourdie Robert G. , Weinberg Seth H. , Poelzing Steven
Published: October 2021

This is the first study to demonstrate that the long-QT syndrome type 3 (LQT3) phenotype can be exacerbated or concealed by regulating extracellular sodium concentrations and/or the intercalated disc separation. The animal experiments and computational modeling in the current study reveal a critically important clinical implication: sodium dysregulation in the presence of edema within the intercalated disc can markedly increase the risk of arrhythmia in LQT3. These findings strongly suggest that maintaining extracellular sodium within normal physiological limits may be an effective and inexpensive therapeutic option for patients with congenital or acquired sodium channel gain-of-function diseases.
Personalized Analysis and Recommendation of Aesthetic Evaluation Index of Dance Music Based on Intelligent Algorithm
Authors: Geng Jun
Published: October 2021

In the era of Industry 4.0 and 5G, various dance music websites provide thousands of dances and songs, which meet people′s needs for dance music and bring great convenience to people. However, the rapid development of dance music has caused the overload of dance music information. Faced with a large number of dances and songs, it is difficult for people to quickly find dance music that conforms to their own interests. The emergence of dance music recommendation system can recommend dance music that users may like and help users quickly discover or find their favorite dances and songs. This kind of recommendation service can provide users with a good experience and bring commercial benefits, so the field of dance music recommendation has become the research direction of industry and scholars. According to different groups of individual aesthetic standards of dance music, this paper introduces the idea of relation learning into dance music recommendation system and applies the relation model to dance music recommendation. In the experiment, the accuracy and recall rate are used to verify the effectiveness of the model in the direction of dance music recommendation.
SMBFT: A Modified Fuzzy
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-Means Algorithm for Superpixel Generation
Authors: Yu Zhen , Tian Cuihuan , Ji Shiyong , Wei Benzheng , Yin Yilong
Published: October 2021

Most traditional superpixel segmentation methods used binary logic to generate superpixels for natural images. When these methods are used for images with significantly fuzzy characteristics, the boundary pixels sometimes cannot be correctly classified. In order to solve this problem, this paper proposes a Superpixel Method Based on Fuzzy Theory (SMBFT), which uses fuzzy theory as a guide and traditional fuzzy

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-means clustering algorithm as a baseline. This method can make full use of the advantage of the fuzzy clustering algorithm in dealing with the images with the fuzzy characteristics. Boundary pixels which have higher uncertainties can be correctly classified with maximum probability. The superpixel has homogeneous pixels. Meanwhile, the paper also uses the surrounding neighborhood pixels to constrain the spatial information, which effectively alleviates the negative effects of noise. The paper tests on the images from Berkeley database and brain MR images from the Brain web. In addition, this paper proposes a comprehensive criterion to measure the weights of two kinds of criterions in choosing superpixel methods for color images. An evaluation criterion for medical image data sets employs the internal entropy of superpixels which is inspired by the concept of entropy in the information theory. The experimental results show that this method has superiorities than traditional methods both on natural images and medical images.