Miracle-dz/UniFAR-FTUs huggingface dataset:
Marketing decision making using sentiment score with co-extracting opinion target words from reviews

This paper proposes a broad-spectrum outline that utilizes natural language processing approaches counting sentiment analysis, web mining that uses clustering schemes to acquire fresh outcome elicited from reviews in support of diverse features of products. An ultimate part in the scheme is finding positive and negative sentiment scope for all features of a product in the given reviews. Massive figures of product reviews are crawling on the Web with the rapid development of Internet. Commencing these reviews, customers can get hold ofactualexamination of product rank and unswerving supervision of their acquisition actions. Withdrawal feelings from web reviews have developed into a gradually more fiery activity and haveengrossed a vastpact of considerationcommencingthe researchers. The key task for opinion mining is obtaining opinion emotions from reviews in online, the novelfactor involves in identifying relations between words. The project proposes a new scheme that contains graph based co-ranking scheme that is employed in finding poise of every word. Then, words with superiorpoise are withdrawn as opinion objects. Based on the nearest neighbor rule we compare with previous schemes, the scheme more preciselycaptures opinion relations, particularly for elongated cover relations. The investigationaloutcome shows that the schemesuccessfully outperforms all other methods and techniques.
Effect of Glucose Administration on Biomass, ?-Carotene and Protein Content of Dunaliella sp. under Mixotrophic Cultivation

Dunaliella sp. is a prospective green microalga that can utilize both organic and inorganic carbon simultaneously. This study was aimed to determine the influence of various glucose concentrations on biomass concentration, β-carotene, and protein content of Dunaliella sp. under mixotrophic cultivation. Different glucose supplementation of 0.05 g/L, 0.10 g/L, 0.15 g/L, and 0.20 g/L were applied mixotrophically. The culture condition of Dunaliella sp. was also performed under photoautotrophic cultivation. The results exhibited that glucose administration significantly influenced the growth, biomass concentration, β-carotene, and protein production of Dunaliella sp. (P < 0.05). Supplementation of glucose in the mixotrophic culture remarkably improved cell growth, biomass production, β-carotene, and protein content of Dunaliella sp. compared to photoautotrophic culture. Increasing glucose concentration from 0.05 to 0.15 g/L increased biomass yield, β-carotene, and protein content of Dunaliella sp. The maximum specific growth rate and biomass concentration were produced at the glucose administration of 0.15 g/L with a value of 1.058 per day and 0.896 g/L, respectively. Moreover, supplementation of 0.15 g/L glucose resulted in the highest β-carotene and protein content. The results also noted that nitrate and phosphate consumption was highly related to biomass, β-carotene, and protein content of Dunaliella sp. In conclusion, the supplementation of glucose under mixotrophic conditions could improve the biomass, β-carotene, and protein content of Dunaliella sp. and could be practically used in mass-scale production. © 2021 Friends Science Publishers
Flow Optimization in Dynamic Networks on Time Scales

Network flow optimization has a wide range of real world applications such as in transportation, in electric, in civil engineering, in industrial engineering and in communication networks and so on. In the minimum cost network flow model, the goal is to find the values of the decisions variables that minimize the total cost of flows over the given network. In this work, a new formulation of flow optimization in dynamic networks using time scales approach has been presented. The continuous network model and the quantum case model are also obtained as special cases. The formulation has been given for both dynamic models and time scales models. Moreover, the new approach provides the exact optimal solution for this type of optimization problems. Furthermore, a new version of some duality theorems for time scales flow optimization in dynamic networks has been introduced.
A Dual-Polarized MIMO Array Antenna System for Future Smartphone

In this paper, a dual-polarization four antennas Multiple Input Multiple Output (MIMO) scheme is proposed. The four elements are arranged over a surface area of 67×139mm2 printed circuit board (PCB) using dielectric substrate FR-4 with epsilon 4.4 and thermal conductivity 0.025. A circular slot radiator is etched in ground plane in order to improve the radiation characteristics. To mitigate the mutual coupling in the proposed MIMO scheme, two rectangular parasitics with one open rib are embedded across square slot radiator. The proposed single antenna model covers a frequency range of 5.81-6.66 GHz at -10dB impedance bandwidth. However, the bandwidth is raised up to 1.47 MHz (5.48-6.95) GHz at -6dB. The results show that -20 dB return losses can be obtained, while -45 dB isolation was achieved for a dual microstrip line. The proposed antenna can be integrated with new smart-mobile devices for future 5G wireless communications.
Extracellular Vesicle Transportation and Uptake by Recipient Cells: A Critical Process to Regulate Human Diseases

Emerging evidence highlights the relevance of extracellular vesicles (EVs) in modulating human diseases including but not limited to cancer, inflammation, and neurological disorders. EVs can be found in almost all types of human body fluids, suggesting that their trafficking may allow for their targeting to remote recipient cells. While molecular processes underlying EV biogenesis and secretion are increasingly elucidated, mechanisms governing EV transportation, target finding and binding, as well as uptake into recipient cells remain to be characterized. Understanding the specificity of EV transport and uptake is critical to facilitating the development of EVs as valuable diagnostics and therapeutics. In this mini review, we focus on EV uptake mechanisms and specificities, as well as their implications in human diseases.
A review of collision detection for deformable objects

In the process of simulating and modeling real objects, the phenomenon of objects penetrating each other may occur in the model, which is unrealistic and then the research of collision detection (CD) is generated. As a bottleneck of virtual environment simulation, researchers have conducted in‐depth research on CD, especially the CD of deformable objects. In this paper, we briefly review the related research on CD of deformable objects regarding relevant literature. First, we briefly introduce previous reviews of CD. Second, we review the popular research methods and limitations of CD between deformable objects. Third, we review the popular research methods and limitations of self‐collision detection in deformable objects. Finally, we discuss future directions of development. This review can be used as a reference for the application of CD in all directions.
Earthquake sensitivity to tides and seasons: theoretical studies

We investigate theoretically the effects of periodic-in-time modulations on the properties of earthquakes. To wit, we consider successively the one dimensional Burridge–Knopoff (BK) model and the two dimensional Olami–Feder–Christensen (OFC) model. Each model is modified to take into account either a modulation of normal stress or of shear stress acting on a fault. Despite the differences between the BK and the OFC model, several results are observed in both models. In particular, we observe that earthquake occurrences correlate with stress modulation. The correlation is strongly dependent on parameters such as the type of modulation, its frequency and amplitude, and in some cases on the magnitude of the considered earthquakes.
Review of internet of things: distributed power in smart grid

Emerging technologies in the field of power sector are Artificial Intelligence and Information Technology. Electrical network is very complex and Far-reaching, the data that coming from the generation, transmission or from the distribution is abundant and needs to be processed for better efficiency and reliability. To achieve higher efficiency power grids are incorporating newer technologies and are adapting. Internet of Thing (IOT) is a modernized technology that can be used to collect the data or to monitor the physical components under the radar of the grids. This paper deliberates the use of modern technology in the smart grids to improvise the reliability and working efficiency. The concept of Distributed generation and the utilization of IOT in such scenario is discussed in this paper.
Auto Transition Function in RADG

The main problem of RADG (Reaction Automata Directed Graph) is the fixed design of the graph. The purpose of this paper is to develop the transition function from fixed design to dynamic design, the dynamic design based on a key between sender and receiver in addition to some rules, the new design is more efficient and fairly distributed between standard states and reaction states, that design keeps the main aspect of RADG which gives more than one ciphertext to the same plaintext and adds high level of security to the wireless network.
Seeding the Multi-dimensional Nonequilibrium Pulling for Hamiltonian Variation: Indirect QM/MM Free Energy Simulations

The combination of free energy simulations in the alchemical and configurational spaces provides a feasible route to access the thermodynamic profiles under a computationally demanding target Hamiltonian. Normally, due to the significant differences between the computational cost of ab initio quantum mechanics (QM) calculations and those of semi-empirical quantum mechanics (SQM) and molecular mechanics (MM), this indirect method is often applied to obtain the QM thermodynamics by combining the SQM or MM thermodynamics and the SQM-to-QM or MM-to-QM corrections. In our previous works, a multi-dimensional nonequilibrium pulling framework for Hamiltonian variations has been introduced based on bidirectional pulling and bidirectional reweighting. The method performs nonequilibrium free energy simulations in the configurational space to obtain the thermodynamic profile along the conformational change pathway under a selected computationally efficient Hamiltonian, and uses the nonequilibrium alchemical method to correct or perturb the thermodynamic profile to that under the target Hamiltonian. The BAR-based method is designed to achieve the best generality and transferability and thus leads to modest (~20 fold) speedup. In this work, we explore the possibility of further accelerating the nonequilibrium free energy simulation by employing unidirectional pulling and using the selection criterion to obtain the initial configurations used to initiate nonequilibrium trajectories following the idea of adaptive steered molecular dynamics (ASMD). A single initial condition is used to seed the whole multi-dimensional nonequilibrium free energy simulation and the sampling is performed fully in the nonequilibrium ensemble. The ASMD scheme estimates the free energy difference with the unidirectional exponential average (EXP), but it does not follow exactly the requirements of the EXP estimator. Another consequence of the seeding simulation is the inherently sequential or serial pulling due to the inter-segment dependency, which triggers some problems in the parallelizability of the simulation. Therefore, some tests are required to grasp some insights and guidelines for using this selection-criterion-based ASMD scheme. The ASMD method is tested thoroughly on a dihedral flipping model system and encouraging numerical results are obtained. The selection-criterion-based multi-dimensional ASMD framework follows the same perturbation framework of the BAR-based method, and thus could be used in various Hamiltonian-variation cases.
Cultural Diversity of Audit Committees and Firms’ Financial Reporting Quality

We examine the effect of audit committees’ cultural diversity, as measured through ancestral cultural diversity of audit committee members, on firms’ financial reporting quality. We find that audit committee cultural diversity is associated with a lower likelihood of financial accounting restatements. Our results are driven by firms operating in more complex environments, which suggests that audit committee cultural diversity may be particularly important when the firm is inherently complex. We also find that cultural diversity is associated with a lower likelihood of restatements for companies with more powerful CEOs, suggesting that more culturally diverse audit committees are more effective in restraining CEO accounting opportunism. Additionally, we document that audit committee cultural diversity is associated with an array of other measures of higher reporting quality. Our study thus highlights the importance of cultural diversity in audit committee effectiveness.
The Importance of Google Maps for Traffic in Calculating the Level of Service for the Road and Traffic Delay

Traffic congestion is one of most important problems generated in the modern era, due to the need to move quickly between different sites, technological development, economic and population growth. Led to a significant increase in private transportation vehicles in urban areas. It has even exceeded the capacity of the planned road in some locations, especially those that attract trips significantly, causes cluster of vehicles, traffic congestion, and delay in the trip, which causes material and psychological costs to people. Therefore, this problem needs to be defined accurately and quickly in order to address it. There are many methods, including the traditional and advanced ones, in determining congestion and the amount of delay. Since determining the amount of delay for many sites is very expensive and takes a long time. We assume there is a method to facilitate data acquisition and delay in a fast and cost-effective manner. Through the use of websites on the Internet, one of which is Google traffic maps. Works to provide data on the traffic situation of the roads in any area, and at any time in the world, which can be used to know the amount of delay of the trip in this area. As it was noted that there is a failure in previous studies to convert this data into a data that can be used. Conversion descriptive data to numerical, for processing an accurate measurement.
A relação cidade e porto: a cidade de Vila Velha

This article aims to understand the relationship between the city and the port of Capuaba located in the neighborhood of Paul, city of Vila Velha, Espírito Santo, starting from the observation of how the process of globalization and modernization of the port system transformed this integration. Thus, in order to reach the envisioned understanding, a bibliographic research was carried out through articles referring to the theme Port City, as also carried out by the present authors, a technical visit to the neighborhood in question, in the afternoon on October 18 of the year. 2019, where we sought to observe the urban perimeter around the Capuaba port complex. As a result, this research concludes that despite the development of technologies and the globalization process that impacted the growth and changes in the port system, the Port of Capuaba, cannot be considered integrated with its local urban environment.
Health in Digital Era 4.0: Analyzing Reader Engagement Rate on Instagram Account of Government Health Agencies

— In recent years, social media has become an essential part of governance in the Digital Era 4.0. The government health agencies, which are an element of implementing government affairs in the health sector, have also utilized social media in disseminating information related to health. Instagram is one of the media used by organizations to disseminate health information. Reader engagement rate can be used as a parameter in measuring the effectiveness of each health service in disseminating information through Instagram. This study aims to analyze the reader engagement rate of several government health agencies’ Instagram accounts by measuring engagement score. This study used web scraping techniques to collect data from Instagram such as the number of follower, like, comment, and post. The data was taken in one year, namely post data from 1 January 2019 to 1 January 2020, totaling 3689 data post from ten government health agencies' accounts. Based on the results of this study, the Government Health Agency of Central Java Provincial has the highest engagement score of 20,30. Therefore, it can be concluded that the dissemination of information carried out by the agency through Instagram can reach a number of readers more effectively than the other nine agencies.
The Application of Extremum Seeking Algorithms in PID Tuning for Continuous Stirred Tank Reactor

One of the most common control algorithms in process control is the Proportional-Integral-Derivative (PID) controller, which could be very efficient if well tuned. The aim of this paper is to discuss the optimal tuning of the PID controller using extremum seeking (ES). Two ES algorithms, Perturbation Based Extremum Seeking (PBES) and Sliding Mode Based Extremum Seeking (SMBES), will be used to tune the PID parameters by searching for the optimal parameters that minimize a certain performance index. The Continuous Stirred Tank Reactor (CSTR), with irreversible first-order reaction, has been considered as a case study. The two algorithms have been implemented with two choices of Performance-Index (PI), Integral Absolute Error (IAE) criteria, and a combination of IAE with the integral of absolute of control signal. With the later choice of PI, both the algorithms show an improvement in the performance over the Internal Mode Control (IMC) tuning method, with good control behavior. The cost in the PBES tuning algorithm has converged to an ultimate bound around the optimal value within a lower number of iteration than the SMBES tuning algorithm. However, the speed of the SMBES algorithm can be increased but with the drawback of increasing the chattering effect produced in the PID parameters.
Region of Interest Detection and Evaluation in Functional near Infrared Spectroscopy

This paper describes the use of a computational method based on an optical flow algorithm to detect regions of interest in near infrared (NIR) spectroscopy. The evaluation of such method is also presented. Visual inspection and cross correlation analysis of NIR cortical activation images were used to evaluate our method. The visual analysis exposed pain-related activations in the primary somatosensory cortex (S1) after stimulation which is consistent with similar studies, and the cross correlation results showed dominant channels on both cerebral hemispheres. Optical flow exhibited the nature of the dominant channel, the extent of the stimulation spatial distribution and the stimulation status. In addition, the directions of the optical flow vectors were linked to the stimulation perception of the participant. The two evaluation methods confirmed the success of our method in finding the region of interest in both hemispheres. The results of this real case study show that the computational method can successfully analyse and detect regions of interest and show temporal interactions between channels, and could be employed to investigate pain assessment in human subjects.
Koopman Operators for Estimation and Control of Dynamical Systems

A common way to represent a system's dynamics is to specify how the state evolves in time. An alternative viewpoint is to specify how functions of the state evolve in time. This evolution of functions is governed by a linear operator called the Koopman operator, whose spectral properties reveal intrinsic features of a system. For instance, its eigenfunctions determine coordinates in which the dynamics evolve linearly. This review discusses the theoretical foundations of Koopman operator methods, as well as numerical methods developed over the past two decades to approximate the Koopman operator from data, for systems both with and without actuation. We pay special attention to ergodic systems, for which especially effective numerical methods are available. For nonlinear systems with an affine control input, the Koopman formalism leads naturally to systems that are bilinear in the state and the input, and this structure can be leveraged for the design of controllers and estimators.
A Tutorial on General Air-Gap Field Modulation Theory for Electrical Machines

This tutorial paper presents the mathematics behind the widely observed air-gap field modulation phenomena in electrical machines and derives the duality between electrical machines and switching converters. A bibliometric analysis of the existing research on various machine types is presented to show the historical development of electrical machines from the perspective of the number of publications, showing the necessity and urgency of unifying the analysis of operating principles/torque production mechanisms before the development of the general air-gap field modulation theory in 2017. The theoretical framework and its applications are reviewed. Detailed examples of how to use the developed theory to analyze the operating principle/torque production, conduct the quantitative analysis of parameters and basic performance, and make innovations from topologies of typical electrical machines are also included for verification as well as self-study.
The Influence of Work Pressure on Airline Personnel’s Work Errors in the Internet Age

To explore the influence mechanism of job stress on job errors, on the basis of literature review, this thesis proposes a conceptual model of the effect of job stress on job errors of airline personnel, and explores the mediating effect of perceived organizational support (POS). The analysis of 373 airline questionnaires show that the job stress of airline personnel has a pronounced positive effect on their job errors; airline personnel’s work tasks stress, interpersonal stress, occupational development stress and work-family conflict stress have a pronounced positive effect on their job errors, and the positive effect of role stress and organizational management stress to job errors is not significant; airline personnel’s POS produces a mediating effect between their job stress and job errors. The purpose of the study is to provide a basis for airline’s stress management and safety management, so as to improve safety performance and enhance the safety level of air transportation.
Einfluss der mediterranen Ernährung auf das Brustkrebsrisiko: Welche Rolle spielt das Mikrobiom?

Zusammenfassung Zahlreiche Studien haben gezeigt, dass die mediterrane Ernährung vor ernährungsmitbedingten Erkrankungen wie Übergewicht, Diabetes mellitus Typ 2, Herz-Kreislauf-Erkrankungen und verschiedenen Krebsentitäten, einschließlich Brustkrebs, schützen kann. Die zugrunde liegenden Mechanismen sind jedoch weitgehend unklar. Bislang wurde vor allem die Rolle antiinflammatorischer Fettsäuren diskutiert. In der vorliegenden Übersichtsarbeit soll am Beispiel des genetisch determinierten sowie des sporadischen Brustkrebses der Frage nachgegangen werden, welche Rolle das Darmmikrobiom spielen könnte, dessen Zusammensetzung und Funktion durch die mediterrane Ernährung verändert wird.