Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbiological Characteristics of Gouda Cheese Manufactured with Pasteurized and Raw Milk during Ripening Using Next Generation Sequencing

Abstract Gouda cheese, one of most popular cheeses in the Korea, has been produced from only pasteurized milk in Korean dairy farms. Recently, it has become legally possible to produce ripened cheese manufactured with raw milk in Korea. In the present study, we investigated the physico-chemical and microbiological characteristics of Gouda cheese manufactured with raw (R-GC) or pasteurized milk (P-GC) during manufacturing and ripening. Particularly, this study characterized the bacterial community structure of two cheese types, which are produced without pasteurization during ripening based on next generation sequencing of 16S rRNA gene amplicons. During ripening, protein and fat content increased slightly, whereas moisture content decreased in both P-GC and R-GC. At the 6 wk of ripening, R-GC became softer and smoother and hence, the values of hardness and gumminess, chewiness in R-GC was lower than that of P-GC. Metagenomic analysis revealed that the bacterial genera used a starter cultures, namely Lactococcus and Leuconostoc were predominant in both P-GC and R-GC. Moreover, in R-GC, the proportion of coliform bacteria such as Escherichia, Leclercia, Raoultella, and Pseudomonas were detected initially but not during ripening. Taken together, our finding indicates the potential of manufacturing with Gouda cheese from raw milk and the benefits of next generation sequencing for microbial community composition during cheese ripening.
Determination of the mineral content of spices by ICP-OES

Spices represent all edible plant parts used for food flavouring or colouring including fruits, roots, seeds, peels or vegetable substances. The objective of this study was to determine the elemental composition (Ag, Al, B, Ba, Bi, Ca, Cd, Co, Cr, Cu, Fe, In, K, Li, Mg, Mn, Na, Ni, Pb, Sr, Tl and Zn) of selected spices available in the local markets on Serbian territory. The presence of heavy metals in spices is of particular importance because this could result in the accumulation of these elements in human organs, which further might cause different health problems. The analysed spice samples were curcuma, star anise, cinnamon, ginger, coriander, cardamom, sesame, black pepper, chilli and curry. The preparation of the samples was done by wet digestion. The concentrations of elements after digestion were determined by Inductively Coupled Plasma ‒ Optical Emission Spectrometry (ICP-OES). In the group of spices macroelements, from all examined elements the calcium concentration was the highest (182.25 ‒ 3968.79 mg/kg), about 83%. From the heavy metals group, aluminium was most present in the range of 0.0-10.78 mg/kg, while cadmium and nickel were detected in almost negligible amounts.
High Performance and Scalable Matching and Assembly of Biological Sequences

Next Generation Sequencing (NGS), the massive parallel and low-cost sequencing technology, is able to generate an enormous size of sequencing data. This facilitates the discovery of new genomic sequences and expands the biological and medical research. However, these big advancements in this technology also bring big computational challenges. In almost all NGS analysis pipelines, the most crucial and computationally intensive tasks are sequence similarity searching and de novo genome assembly. Thus, in this work, we introduced novel and efficient techniques to utilize the advancements in the High Performance Computing hardware and data computing platforms in order to accelerate these tasks while producing high quality results. For the sequence similarity search, we have studied utilizing the massively multithreaded architectures, such as Graphical Processing Unit (GPU), in accelerating and solving two important problems: reads mapping and maximal exact matching. Firstly, we introduced a new mapping tool, Masher, which processes long (and short) reads efficiently and accurately. Masher employs a novel indexing technique that produces an index for huge genome, such as the human genome, with a small memory footprint such that it could be stored and efficiently accessed in a restricted-memory
Essential oils as a source of bioactive molecules

Nature gives us a large number of compounds with interesting biological properties, within them we have essential oils, which are an important source of new bioactive molecules, which can replace synthetic chemicals, since they are friendly to the environment and they are less toxic. Currently there are more than 20.000 publications in which essential oils are related to some biological activity, according to the search made in different databases until January 2018. This confirms the wide utility of essential oils as the main source of bioactive metabolites, which can be used in different areas of our life.
Impact of Phosphorus and Sulfur Fertilizers Levels on Soybean ProductivityImpact of Phosphorus and Sulfur Fertilizers Levels on Soybean Productivity

This study was carried out at the Village of Algraydh, Kafrelshiekh Governorate, Egypt, during the summer seasons 2016 and 2017 to conclude whether, and if so how, soybean growth, yield and seed oil percentage are affected by phosphorus and sulfur mineral fertilizers levels. The experiment was laid-out in strip-plot design with four replications. The vertical-plots included five levels of phosphorous (P) fertilizer (0 without as control, 10, 20, 30 and 40 kg P2O5 fed ). While, the horizontal-plots assigned with five levels of sulfur (S) fertilizer (0 without as a control, 20, 40, 60 and 80 kg S fed). Application of 40 kg P2O5 fed -1 produced the maximum averages of growth characters, yield and yield components as well as seed oil percentage. Furthermore, using 30 kg P2O5 fed -1 came after the previously mentioned level and without significant differences between them in both seasons. Adding 80 kg S fed produced the highest averages of all studied traits, followed by 60 kg S fed and without significant differences between them in both seasons. It could be concluded that combined application of 30 kg P2O5 fed -1 plus 60 kg S fed is recommend for improving the productivity and seed oil percentage of soybean under the ecological conditions of Kafrelsheikh Governorate, Egypt.
Evaluation of FeCl 3 and PAC for the potabilization of water with high content of color and low turbidity

The water source for supply from moorland is characterized by its high color and low turbidity, which represents an inconvenience to be considered in most water treatment plants. Internationally, studies have been carried out in this regard, but in general, the proposed solutions are costly and do not fully adapt to this type of Colombian water sources (a country in which no research is recorded). The purpose of this work was the evaluation of FeCl3 as a primary coagulant and PAC (Poly Aluminium Chloride) as auxiliary on a laboratory scale for the water purification with high color and low turbidity. The jar test was performed with FeCl3, PAC, FeCl3 + PAC as a coagulation aid and FeCl3 + PAC as a flocculation aid. The parameters evaluated were pH, color, and turbidity, before and after the treatments; with a dose range for FeCl3 between 36-42 mg/L and for PAC between 0.2-0.5 mg/L. The results displayed that in terms of color removal, the FeCl3 + PAC combination as a coagulation aid showed the highest efficiency among the treatments studied (86.9%), while for turbidity removal the yield reached 80.2%. Likewise, it was demonstrated that this alternative represents a cost savings when compared to PAC as sole coagulant (between 25.5 - 34.2%), depending on the treated flow. Regarding compliance with Colombian regulations in force, the maximum permissible values are (Color = 15 UPC, Turbidity = 2 UNT), with the exception of pH that must be between 6.5-9.0, and that must be stabilized before to send the treated water through the distribution network.
Linguistic Feature Classifying and Tracing

We investigate the identification and analysis of linguistic (lexico-grammatical) features that are characteristically used by articles of a specific year of publication. Linguistic features differ from shallow features because they represent authors’ lexico-grammatical writing styles and do not consider well-known bag-of-words model. Current literature focusses on shallow features rather than on linguistic features and existing methods for identifying linguistic features use well-known knowledge-structure based approaches. In contrast to this, we advance these existing methods by applying semantic clustering instead of using knowledge-structure based approaches. For evaluation purpose, a linguistic feature-based prediction model is built to enable an automated assignment of articles to their years of publication. In a case study, the proposed methodology is applied to articles of the Springer book series 'Communications in Computer and Information Science' published from 2009 to 2013. The Case study results show the feasibility of the proposed approach as compared to frequently used baseline.
Design of a Compact Multielement Monopulse Feed for Ground-Station Satellite Tracking Applications

This letter presents design and realization of a five-element compact dual-polarized feed for a 4.5 m Cassegrain ground-station reflector antenna. The realized monopulse feed is being used to track remote sensing satellites and receive imagery data in X-band frequencies (8–8.5 GHz). The multielement feed consists of one large-aperture corrugated horn acting as main element to extract the communication (sum port) signal and four side-launched circular waveguide elements around the central corrugated horn acting as tracking elements by extracting error signals in both azimuth and elevation. Various design issues of five-element communication/tracking feed assembly are presented along with simulation and measured results. The designed feed assembly satisfies the gain requirements of sum-and-difference pattern and serves as the most simple and compact design.
Framework for Integrated Project Portfolio Selection and Adjustment

Project portfolio frameworks usually present the selection and adjustment phases sequentially, lacking the perspective that these phases can be performed iteratively, allowing feedback looping. This paper aims to narrow this gap by investigating the interactions between selection and adjustment phases, and the effects on project portfolio efficiency. Besides, the effect of the control variables—time, effort, and requirements–is investigated along the project design phase. The research approach was based on simulation with five anecdotal projects and real portfolio data gathered in a case-based approach with ten projects. As a result, an integrated portfolio selection and adjustment framework applying data envelopment analysis (DEA) is presented. The dominant portfolios are determined based on mean-Gini selection to construct an efficient frontier comparing return and risk of each one. The proposed framework enables adjustment by evaluating the impact of control variables via two-stage DEA. The results show that the proposed framework indeed increases the number of suitable portfolios. Furthermore, the framework demonstrates how efficiency is impacted by the control variables of a project.
Calculations of eddy currents in electrical steel sheets taking into account their magnetic hysteresis

Purpose The purpose of this paper is to present the method which relatively easily allows to approximate the hysteresis loop of the dynamo or transformer steel sheets. The paper also looks into the formulation of an equation allowing determination of distribution of the flux density and eddy currents in cross-section of these sheets. Design/methodology/approach An exponential function was applied in the presented method relating to the approximation of the hysteresis loop. When the field strength changes its value, then, the flux density are the sum or difference of a function, describing the lower or upper hysteresis curve and some “ransient” component. On the basis of Maxwell’s equations and Amper’s law, one non-linear differential equation was formulated which allows to calculate the flux density and eddy currents in a cross-section of a transformer sheet. Findings The method which relatively easily allows approximation of the hysteresis loop of ferromagnetic material is presented in the paper. The paper presents the derivation of one non-linear differential equation, allowing calculation of the flux density and eddy currents in the cross-section of the transformer sheets, taking into account the hysteresis phenomenon. Practical implications The paper presents the method that can be used in modeling of the hysteresis loops of dynamo or transformer sheets, and the final non-linear differential equation can be applied in calculations of the magnetic field and eddy currents in cross-section of the transformer sheets. Originality/value The paper refers to important issues of modeling and calculations of the magnetic and eddy current field distribution in transformer steel sheets.
Robust Static Vehicle Detection Method Based on the Fusion of GPS SNR and Magnetic Signal

The wireless vehicle detectors (WVDs) based on the magnetic sensor for outdoor parking spaces have been studied in many papers. However, the magnetic signal has a blind zone between the front and rear wheels of vehicles, thus it is difficult for the WVDs to judge whether the magnetic signal is affected by the vehicle on the current or adjacent parking space. This paper proposes a robust vehicle detection method, which combines the data feature of global positioning system (GPS) satellites’ signal-to-noise ratios (SNRs) and magnetic signals to achieve vehicle detection. Since the high energy consumption of GPS receivers, the reference background of GPS-based method is calculated in the wireless access point (WAP), and the WVDs spend no energy on the background calculation in the proposed method. Moreover, the GPS receiver is activated to assist in the vehicle detection, when the data feature of magnetic signals is insufficient for the WVDs to make an accurate decision on the vehicle status, which improves the vehicle detection accuracy and reduces the average energy consumption of WVDs. Experiments show that the vehicle detection accuracy of our proposed method is up to 99.83%, when the sampling rate of magnetic sensor is 1 Hz, and it has a strong practical significance for the battery-powered WVDs.
Hollow Polyaniline Nanofibers for Highly Sensitive Ammonia Detection Applications

A thin film sensor based on hollow polyaniline nanofibers is fabricated for ammonia sensing applications at room temperature (25 °C). Polyaniline nanotubular structures (H.PANI) are synthesized via in-situ chemical polymerization method with the inner diameter of 200–300 nm and the outer diameter of 350–450 nm. FE-SEM, FTIR, and XRD tests are performed to analyze the H.PANI structure. To investigate the effect of structure on gas sensing performances, H.PANI sensor is compared with the polyaniline powder (P.PANI) sensor. The measured LOD of H.PANI sensor is 81 ppb, which is an indication that it can be used in various applications. There is a great proton exchange between H.PANI and ammonia gas due to its high surface to volume ratio, leading to high sensitivity. The response of the H.PANI and P.PANI sensors at one ppm ammonia are about 3.36% and 1.26%, respectively.
On the Load-Independence of a Multi-Receiver Wireless Power Transfer System

Research and development of wireless power transfer (WPT) systems has attracted much attention in recent years for their potential widespread applications. One of the much desirable features of a WPT system is load-independence. In this letter, we propose the insertion of a simple T-type network into a multi-receiver WPT magnetically coupled resonant WPT system to achieve the load-independence. We then present theoretical analysis, simulation, and experimental verifications; as a result, they lay the foundation for further investigations, improvements, and implementations of realistic WPT systems.
Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction

The importance of wireless sensor networks in structural health monitoring is unceasingly growing, because of the increasing demand for both safety and security in the cities. The speedy growth of wireless technologies has considerably developed the progress of structural monitoring systems with the combination of wireless sensor network technology. Wireless sensor network–based structural health monitoring system introduces a novel technology with compelling advantages in comparison to traditional wired system, which has the benefits of reducing installation and maintenance costs of structural health monitoring systems. However, structural health monitoring has brought an additional complex challenges in network design to wireless sensor networks. This article presents a contemporary review of collective experience the researchers have gained from the application of wireless sensor networks for structural health monitoring. Technologies of wired and wireless sensor systems are investigated along with wireless sensor node architecture, functionality, communication technologies, and its popular operating systems. Then, comprehensive summaries for the state-of-the-art academic and commercial wireless platform technologies used in laboratory testbeds and field test deployments for structural health monitoring applications are reviewed and tabulated. Following that, classification taxonomy of the key challenges associated with wireless sensor networks for structural health monitoring to assist the researchers in understanding the obstacles and the suitability of implementing wireless technology for structural health monitoring applications are deeply discussed with available research efforts in order to overcome these challenges. Finally, open research issues in wireless sensor networks for structural health monitoring are explored.
Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and analyzed. A breakdown of recent advances and future challenges of bioimpedance is also performed, addressing topics such as transducers for biosensors and Lab-on-Chip technology, measurements in implantable systems, characterization of new parameters and substances, and novel bioimpedance applications.
Data Detection in Multisatellite Communication Systems

This paper deals with the practical aspects of development of multisatellite communication system. Specifically, the problem of data detection in multisatellite communication system is discussed in this paper. All satellites want to communicate to a particular earth station (ES). A novel interference cancellation method is used to obtain the data of different satellites at the ES. Based on the standard moment generating function approach, the proposed system is evaluated by analyzing the symbol error rate, diversity order, and average capacity. It is shown through simulation and analysis that the number of antennas at the ES should be sufficiently large as compared to the number of satellites in order to achieve good performance and improved diversity gain and average capacity. It is also shown that the diversity order of the considered system does not depend upon the shadowing environment. By placing more antennas at the ES, the effect of channel (shadowing) can be compensated.
Modeling Driver Take-Over Reaction Time and Emergency Response Time using an Integrated Cognitive Architecture

Drivers’ take-over reaction time in partially automated vehicles is a fundamental component of automated vehicle design requirements, and take-over reaction time is affected by many factors such as distraction and drivers’ secondary tasks. This study built cognitive architecture models to simulate drivers’ take-over reaction time in different secondary task conditions. Models were built using the queueing network-adaptive control of thought rational (QN-ACTR) cognitive architecture. Drivers’ task-specific skills and knowledge were programmed as production rules. A driving simulator program was connected to the models to produce prediction of reaction time. Model results were compared with human results in both single-task and multi-task conditions. The models were built without adjusting any parameter to fit the human data. The models could produce simulation results of take-over reaction time similar to the human results in take-over conditions with visual or auditory concurrent tasks, as well as emergency response time in a manual driving condition. Overall, R square was 0.96, root mean square error (RMSE) was 0.5 s, and mean absolute percentage error (MAPE) was 9%. The models could produce simulation results of reaction time similar to the human results from different task conditions. The production rules are plausible representations of drivers’ strategies and skills. The models provide a useful tool for the evaluation of take-over alert design and the prediction of driver performance.
A review of aerodynamic studies on dragonfly flight

In the recent decades, the design and development of biomimetic micro air vehicles have gained increased interest by the global scientific and engineering communities. This has given greater motivation to study and understand the aerodynamics involved with winged insects. Dragonflies demonstrate unique and superior flight performance than most of the other insect species and birds. They are capable of sustained gliding flight as well as hovering and able to change direction very rapidly. Pairs of independently controlled forewings and hindwings give them an agile flying ability. This article presents a review of all published journal articles, listed in the Thomson-Reuters Web-of-Science database (1985–2018), that are related to the flight aerodynamics of dragonflies or micro air vehicles that biomimic them. The effects of dragonfly wing motions and interactions (between forewing and hindwing) that are necessary to generate the appropriate aerodynamic forces in different flight modes are described. The associated power requirements of these modes are also addressed. This article aims to provide a valuable reference to the aerodynamic design and control of dragonfly-inspired biomimetic micro air vehicles.