Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of cooking methods on nutritional composition and antioxidant properties of lotus (Nelumbo nucifera) rhizome

Lotus (Nelumbo nucifera) rhizome possessed abundant nutrients such as vitamin C, minerals and antioxidants. The consumption of lotus rhizome is limited in Malaysia due to limited information on its nutritional values. Cooking or heat treatment may cause nutritional changes in the food, however, there is a lack of study on the effect of cooking methods on nutritional contents of lotus rhizome. In this study, the effects of cooking methods (steaming, boiling and deep-frying) on nutritional composition (proximate, vitamin C and minerals) and antioxidant properties (total phenolic content, total flavonoid content, DPPH and ABTS scavenging activity) of lotus rhizome were investigated. Results showed that boiling significantly increased moisture and crude fibre but decreased ash, crude fat and crude protein contents of lotus rhizome. Meanwhile, deep frying significantly reduced moisture and increased ash, crude fat, crude protein, crude fibre and carbohydrate contents of lotus rhizome. Steaming induced no significant changes in moisture, crude protein, crude fat, crude fibre, carbohydrate, vitamin C and mineral (potassium, zinc and copper) contents when compared to the raw lotus rhizome. Boiling significantly reduced the amount of vitamin C while deep frying caused a significant reduction in total phenolic content, total flavonoid content and antioxidant activity for both ABTS and DPPH assays of lotus rhizome. In conclusion, steaming would be the best cooking methods for lotus rhizome while deep frying is not recommended to retain the nutritional composition and antioxidant properties of lotus rhizome.
DNA Sequencing: From Experimental Methods to Bioinformatics

What is DNA Sequencing? Chemical degradation (Maxam and Gilbert) method. Chain termination (Sanger dideoxy) method. Instrumentation and reagents. Template preparation. Gel electrophoresis. Non-radioactive methods. Troubleshooting. Confirmatory sequencing. Sequencing PCR products. Strategies for new sequence determination. Introduction to Bioinformatics and the Internet. Sequence databases. Sequence alignment and database searches. Sequencing projects and Contig analysis. Protein function prediction. Protein structure prediction. Appendices.
Reef fishes community performances in Olele marine tourism area, Bone Bolango Regency, Indonesia.

Olele waters, as one of the leading diving location for tourism in the Gorontalo Province, lack information about its resources. The reef fish diversity, which is a major tourist attraction, has never been evaluated. This research was conducted to determine the structure of reef fish communities in Olele waters. The survey was carried out using a visual census method in two zones: away from the settlement and close to the settlement. A total of 26,466 individual reef fishes were found during the study, with a density of 8.82 ind m. The Pomacentridae family has the highest number of species among all stations. Shannon diversity (H'), Shannon similarity (E), and Simpson dominance (C) index indicate that the Olele waters belong to a biodiversity category characterized by a high diversity, stable community conditions, and a low dominance.
Écologie du microbiote bactérien associé au moustique tigre Aedes albopictus : une approche "omique" pour l'exploration de l'holobionte vecteur

Originaire d'Asie du Sud et de l'Est, le moustique tigre Aedes albopictus est aujourd'hui implante sur 5 des 6 continents et les moyens de lutte mis en place pour l'eliminer peinent a freiner son expansion. Ces dernieres annees, l'etude des communautes microbiennes associees aux insectes a permis de demontrer leur implication dans des fonctions clefs de la biologie de leurs hotes (nutrition, immunite, resistance aux stress biotiques et abiotiques …). Ensemble, ils constituent un super-organisme appele holobionte. Ainsi, une meilleure connaissance de l'ecologie microbienne d'Ae. albopictus pourrait nous apporter de nouvelles perspectives dans la comprehension du fonctionnement du pathosysteme vectoriel. C'est dans ce contexte que s'est inscrit mon projet de these qui a consiste a decrire le microbiote bacterien du moustique tigre en lien avec son ecologie et la genetique de ses populations. Nos travaux se sont tout d'abord portes sur des exemples precis d'interactions avec des symbiotes d'interets puis nous avons elargi cette etude a l'ensemble des communautes bacteriennes et leurs facteurs de variation, en beneficiant du developpement des nouvelles technologies de sequencage. Les resultats obtenus ouvrent la voie vers de nouvelles hypotheses sur le fonctionnement et la dynamique de l'holobionte moustique avec la prise en compte des interactions symbiotiques comme un element majeur du pathosysteme vectoriel
An application of the Kalman filter in automated guided vehicles

The article presents an example of using the Kalman filter in the navigation process of an automated guided vehicles (AGV). Odometry – computational navigation is the basis for determining the location of automated guided vehicles. Many errors affect this method of determining the vehicle’s position. In order to eliminate these errors in modern vehicles, additional systems are used to increase the accuracy of determining the position of the vehicle. In the latest navigation systems, probabilistic methods are applied to adjust the route and the position. The Kalman filters are most commonly used.
The integrin αvβ6 binds and activates latent TGFβ1 : A mechanism for regulating pulmonary inflammation and fibrosis

Summary The mechanisms involved in activating latent TGFb are not fully understood, but recently there has been Transforming growth factor b (TGFb) family members important progress in this area. Plasmin can activate are secreted in inactive complexes with a latency- latent TGFb in cell-free systems (Lyons et al., 1990) and associated peptide (LAP), a protein derived from the in cell culture (Sato et al., 1990). However, plasminogen N-terminal region of the TGFb gene product. Extracel- knockout mice display none of the pathologic features lular activation of these complexes is a critical but of TGFb knockout mice, suggesting that plasmin is unincompletely understood step in regulation of TGFb likely to be the only molecule activating TGFb. Reactive function in vivo. We show that TGFb1 LAP is a ligand oxygen species can activate TGFb in vitro (Barcellosfor the integrin avb6 and that avb6-expressing cells Hoff and Dix, 1996), and radiation treatment appears induce spatially restricted activation of TGFb1. This able to activate TGFb in vivo via this mechanism (Barfinding explains why mice lacking this integrin develop cellos-Hoff et al., 1994). Thrombospondin (TSP) 1 can exaggerated inflammation and, as we show, are pro- activate TGFb by binding to a defined site on LAP and tected from pulmonary fibrosis. These data identify a inducing a conformational change in the latent complex; novel mechanism for locally regulating TGFb1 function TGFb is then bound to TSP1 in an active state (Schultzin vivo by regulating expression of the avb6 integrin. Cherry and Murphy-Ullrich, 1993; Schultz-Cherry et al.,
Tunable hard x-ray nanofocusing with Fresnel zone plates fabricated using deep etching.

Fresnel zone plates are widely used for x-ray nanofocusing, due to their ease of alignment and energy tunability. Their spatial resolution is limited in part by their outermost zone width dr N , while their efficiency is limited in part by their thickness t zp. We demonstrate the use of Fresnel zone plate optics for x-ray nanofocusing with dr N = 16 nm outermost zone width and a thickness of about t zp = 1.8 μm (or an aspect ratio of 110) with an absolute focusing efficiency of 4.7% at 12 keV, and 6.2% at 10 keV. Using partially coherent illumination at 12 keV, the zone plate delivered a FWHM focus of 46 × 60 nm at 12 keV, with the first order coherent mode in a ptychographic reconstruction showing a probe size of 16 nm FWHM. These optics were fabricated using a combination of metal assisted chemical etching and atomic layer deposition for the diffracting structures, and silicon wafer back-thinning to produce optics useful for real applications. This approach should enable new higher resolution views of thick materials, especially when energy tunability is required.
A Wearable Magnetometer-Free Motion Capture System: Innovative Solutions for Real-World Applications

Although inertial and magnetic wearable sensors are promising tools to develop novel technologies for human motion capture, their diffusion is being limited by their fair accuracy. In indoor applications, most of the inaccuracy comes from the magnetic disturbances contained in the magnetometer data. Besides, non-technicians might easily fail in properly calibrating the magnetometers. Hence, a novel magnetometer-free motion capture system was developed in this work, in the attempt to increase sensors accuracy and usability. Innovative strategies, invisible to the user, were introduced to compensate for the lack of the magnetometer: (a) an accurate linear Kalman filter-based 3D orientation estimator; (b) a simple sensor-to-segment calibration procedure; (c) efficient error compensations for soft-tissue artifact; (d) a simple solution to guarantee a common reference to all body segments. Ten expert Yoga practitioners were asked to perform a common sequence (sun salutation) while inertial sensor data and ground-truth data were acquired for the upper-body through a customized body area network and a stereophotogrammetric system, respectively. As expected, the overall joint angles accuracy proved to be dependent on the acquisition time window. The achieved worst-case accuracy at 90 s was 6 and 14 deg, depending on the main rotational axis involved (vertical or horizontal axis, respectively). Given the large and unconstrained angular workspace explored at each joint (up to 200 deg), these errors make the proposed solution (which can easily be extended to the full human body) an eligible alternative to current motion capture systems relying on magnetometers.
A Day-Ahead Scheduling of Equivalent Energy Storage Model Considering Minimum-On-Off Time

In order to make Thermostatically Controlled Loads (TCLs) better meet the scheduling requirements, a day-ahead scheduling of equivalent energy storage model that takes into account of the minimum-on-off time is established. By considering the minimum-on-off time, the charging and discharging power, as well as the energy storage are modified, and the relationship between heat exchange power and energy storage are developed. By this way, the equivalent energy storage model more accurately reflects the real thermodynamic characteristic of TCLs and enables TCLs to exert the actual potential to participate in the scheduling. Finally, the simulation results verify the feasibility of the proposed scheduling method.
A Deep Learning-Based Method to Detect Components from Scanned Structural Drawings for Reconstructing 3D Models

Among various building information model (BIM) reconstruction methods for existing building, image-based method can identify building components from scanned as-built drawings and has won great attention due to its lower cost, less professional operators and better reconstruction performance. However, this kind of method will cost a great deal of time to design and extract features. Moreover, the manually extracted features have poor robustness and contain less non-geometric information. In order to solve this problem, this paper proposes a deep learning-based method to detect building components from scanned 2D drawings. Taking structural drawings as an example, in this article, 1500 images of structural drawings were firstly collected and preprocessed to guarantee the quality of data. After that, the neural network model—You Only Look Once (YOLO) was trained, verified and tested. In addition, a series of metrics were utilized to evaluate the performance of recognition. The results of test experiments show that the components in structural drawings (e.g., grid reference, column and beam) can be successfully detected, while the average detection accuracy of the whole image is over 80% and the average detection time for each image is 0.71 s. The experimental results demonstrate that the proposed method is robust and timesaving, which provides a good basis for the reconstruction of BIM from 2D drawings.
Estimation of Bitcoin Volatility: GARCH Implementation

As bitcoin is a topic of high interest for academic and professsional life over recent years, a number of literature has examined its the price movements, volatility and predictions. Bitcoin is the first and perhaps the most popular cryptocurrency with a high volatility pattern compared to the other cryptocurrencies. This paper examines the models that explains the volatility of Bitcoin prices. The daily data for the Bitcoin prices are used through a period of July 31, 2017 to April 3, 2019, a total number of observations of 484. Initially, unit root tests are implemented. Then, the heteroskedasticity problem is tested among variables. Based on results of the heteroskedasticity test, it is decided to use ARCH models. Then, ARCH, GARCH, TGARCH and EGARCH results are tested to find out the best fit model that explains the bitcoin price movements.
Amyloid A amyloidosis in a patient with Caplan’s syndrome, with special reference to genetic predisposition

Abstract Secondary amyloid A (AA) amyloidosis, which is a disorder of protein conformation and metabolism, is an important serious complication of inflammatory diseases, especially rheumatoid arthritis (RA). AA amyloidosis develops when AA fibrils, which are derived from the acute-phase reactant, serum amyloid AA (SAA) protein, in the circulation, are deposited in organs and cause systemic organ dysfunction. Caplan’s syndrome, or rheumatoid pneumoconiosis, is a rare type of lung disease in which individuals suffering from RA develop lung nodules that are associated with occupational exposure to silica and coal dust. Confirmation of diagnosing as Caplan’s syndrome requires the patient’s occupational history, imaging studies, and serology. A 72-year-old male, working as a tunnel construction worker for 38 years, with RA who had both chronic cardiac and renal dysfunction was referred to our hospital. He received a diagnosis of pneumoconiosis about 20 years ago, after which he was also diagnosed with RA. So far we performed medical English literature searches on the combination of Caplan’s syndrome with AA amyloidosis; there were no articles in relation to such association. Although RA is one of the most common underlying diseases that occur with AA amyloidosis, our report here is the first description of a case of Caplan’s syndrome associated with AA amyloidosis. In this report, we provide details about this rare disease occurring with AA amyloidosis and discuss on the possible pathogenesis of AA amyloidosis from a genetic point of aetiological view.
DUAL-BAND LOW PROFILE SIW CAVITY-BACKED ANTENNA BY USING BILATERAL SLOTS

In this paper, a design of a low profile cavity backed antenna consisting of bilateral slots is developed for generating two frequencies. Here, the whole antenna including substrate integrated waveguide (SIW) cavity is constructed from only one substrate with the height of 0. 026λ0. The long transversal slot at the ground plane is excited by TE210 mode of the cavity and produces one hybrid mode resonance at 9.85 GHz. When the short transversal slot cut is incorporated in the top portion of the cavity, TE310 mode is perturbed, which results in generating an additional hybrid mode resonance at 14 GHz. Both these hybrid modes help to create a dual-band response. A sample of the proposed design is fabricated, and it has been verified experimentally that the bandwidths of the proposed design are 530 MHz (5.48%) and 440 MHz (3.15%) at lower and higher resonant frequencies, respectively. The antenna renders measured peak gains of 6.62 dBi and 6.44 dBi at 9.85 GHz and 14 GHz, respectively. The cross-polarization level of maximum −20 dB and same polarization planes are obtained at both the operating frequencies.
How to Effectively Build Marketing in the Digital Era Economies

The article describes the problems and criteria for the development of marketing in the era of the digital economy. In the structure of the digital economy, the process of modifying marketing into smart-marketing (digital-marketing) happens - work that allows the use of digital advanced technologies. Thus, by analyzing “Big Data” and applying other achievements of advanced technology, it is possible to influence the compilation of needs, as well as develop and promote value propositions for consumers on the market. The article uses methods - general scientific method, i.e. analysis of world experience in transition to absolute digital economy, implementation of digitalization in all types of activities; philosophical method - is based on analytical and statistical conclusions about digitalization of economy and its impact on other activities; analogue method - the same forecasts about digitalization of marketing were taken from the theory of digital economy and its direction. As a result, based on the SWOT analysis, leaning on the strengths, weaknesses, threats and opportunities, it is possible to understand that the digital economy undoubtedly affects marketing.
Nutrition and Feeding of Olive Flounder Paralichthys olivaceus: A Review

Abstract Olive flounder (Paralichthys olivaceus) also referred to as bastard halibut is a marine carnivorous species with great commercial value. The production of olive flounder has been dominated by aquaculture with 43 thousand tons of production in 2017 compared to fisheries with only 10 thousand tons in the same year. But despite the high market demand for this species, aquaculture production has not increased accordingly within the last decade. The development of olive flounder aquaculture has been facing several drawbacks such as improper feed formulations, dependence on unreliable ingredients (e.g. fish meal and fish oil), disease outbreaks, and excessive use of harmful antibiotics. All these factors are major impediments in the sustainable development of olive flounder aquaculture. A great body of research has been conducted to understand the nutrient requirements of olive flounder while finding alternative protein sources in the diet. Also, several feed additives have been successfully tested as immunostimulants in olive flounder. All these findings are thoroughly discussed in this review, therefore, the information can be utilized by the industry and academic societies.
Domestication of Avena magna Murphy et Terrell: a wild tetraploid oat species endemic of Morocco

Avena magna Murphy et Terrell (2n = 4x = 28), a tetraploid oat species endemic of Morocco, has a high groat protein content (more than 20%), good resistance to diseases and good adaptability to the Mediterranean edaphic and climate conditions. Moreover, this taxon is morphologically similar to the hexaploid oat species A. sativa and promising for interspecific crosses with A. sativa in order to transfer the domestication syndrome into it. Four hybridization cycles employing four accessions of A. magna and five Moroccan hexaploid oat cultivars of A. sativa were accomplished to domesticate A. magna. Morphological characterization and cytogenetic analysis of derivative hybrid seeds were made to determine their ploidy level and select the seeds with 2n = 28. The overall combinations yielded 81 hybrid plants with 2n varying from 28 to 29, with 58% having 2n = 28, and pollen fertility over 85%. However, 27 hybrids yielded a seed set ranging from 20 to 80%. Selected hybrid plants were subjected to pedigree selection in the field until they reached the 8th generation and assessed for agronomic performance. Three domesticated lines of tetraploid oat A. magna were selected for their good disease resistance. Analysis of groat protein content in the selected hybrids using the Kjeldahl method showed that it was 2 to 3% higher than in their parents.
The Effectiveness and Misunderstanding of Value Investment in China’s Stock Market

With the development of economy and the improvement of people's knowledge level, equity-related investment plays an increasingly important role in asset allocation. Value investment is becoming more and more a concept of people's pursuit of learning. But the effectiveness of the market and understanding of the value investment accurate can become the correct application of value investing in the stock market the key to profit. Starting from the stock market of our country, this paper discusses the validity of the floating capital of market value and the misunderstanding of value investment by ordinary investors.
A Dynamic Spatial Panel of Subnational GHG Emissions: Environmental Effectiveness of Emissions Taxes in Spanish Regions

In this paper we study the effectiveness of environmental taxes and policies of the regional level of government to reduce GHG emissions. We use panel data for the 17 Spanish regions in the period 1999–2017, controlling the spatial nexus between regions and using a dynamic Durbin model. The results show there is spatial dependence and spatio-temporal persistence of GHG emissions at the regional level in Spain, and that in this context, the taxes and policies intended to manage emissions introduce a slight disincentive to generating them. This fact, together with some relative decoupling which seems to exist between growth and emissions at the regional level, would suggest the need for tougher measures to combat environmental pollution in order to meet EU commitments.
Energy efficient transmission in dynamic PDMA‐based systems with RF energy harvesting

Nonorthogonal multiple access (NOMA) and energy harvesting technologies are two promising approaches to increase spectral and energy efficiency, respectively. In this paper, a pattern division multiple access (PDMA) uplink transmission network in which users are able to harvest energy from the received radio frequency power is considered. In order to maximize the energy efficiency, we perform resource allocation in the power, subcarrier, and time domains. Also, for each time slot, the pattern matrix is determined dynamically. To enhance the detection reliability, successive interference cancellation and maximal ratio combining at each receiver are utilized. For resource allocation, the actual harvested and available energies of the users are considered. Moreover, in order to perform a comprehensive analysis, further to PDMA, the energy efficiency of the power domain NOMA (PD‐NOMA) is also investigated and the results are compared. It is shown that the energy efficiency and the average total transferred data of PDMA are higher than that of PD‐NOMA.