Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemical Composition and Antioxidant Properties of Five White Onion (Allium cepa L.) Landraces

Five onion landraces belonging to Bianca di Pompei cv. , cultivated in Campania region (Italy), were characterized for their main quality parameters. The onion landraces were harvested at the end of the growth cycle corresponding to the ripening time and harvest month, respectively: February, March, April, May, and June. The total content of volatile compounds as well as the sulfur-containing compounds in Aprilatica was significantly ( ) higher than the other landraces investigated. The nutraceutical feature investigated through the total phenols, phenols profile, and antioxidant activity showed higher values for the samples harvested in spring months. High pungency values ranging from 9 to 14 μmol/g FW were found in all onion landraces investigated as enzymatically (alliinase) produced pyruvate (EPY). The organic acids profile (malic, citric, succinic, pyruvic, oxalic, ascorbic, and tartaric acids) highlighted malic and citric acids in higher amounts in all landraces. Fructose, glucose, and sucrose were found as soluble sugars and fructose was the most abundant. Generally, the results highlighted the growth temperature influence on the investigated quality parameters.
Detection Fidelity in Distributed Wireless Sensor Networks

Interesting rate distortion problems arise in sensor networks. In this paper, we examine the errors of distributed sensor networks in sensing, quantization and source reconstruction. The sensing error depends on signal attenuation and measurement noise, which can be lessened by reducing sourcesensor separation and increasing the number of independent observations. The rate of data transmission to the global fusion center, which incurs the most energy (capacity) cost, can be brought down by exploiting correlation among sensors by local fusion. However, the rate ultimately constrains the number of quantization levels. We model distributed phenomena as correlated point sources, and derive bounds on the total error using a localized reconstruction algorithm based on cubic splines. In particular, the interpolation error in cubic spline fitting is shown to converge at least on the same order as the sensing and quantization noise given appropriate mesh sizes.
Cross-functional Teams and Their Role in Increasing Competitiveness of the Organizational Partnerships

In this paper we review the role of the cross-functional teams for increasing competitiveness of the various organizational partnerships. The present complexity of the international business environment, the high competition and the economic globalization push many organizations to seek for new organizational partnerships, in order to faster reach their goals. Such organizational partnerships may be the networks of enterprises and clusters. For both of them, the main factor to increase competitiveness is the cross-functional teams (CFT) and their effective team work. Through communication and mutual understanding, the CFT can overcome barriers between member entities and lead to better economic parameters. The main employed method was a survey of the management literature about CFT. The result is a clear presentation of the CFT and of their effective work manner to reach a competitive level for various organizational partnerships.
Hybrid Face Recognition Algorithm for Wireless Sensor Network

Since computing technology increasing as part of our daily life activity, there is a need for new branches of applications. Developing the Wireless Sensor Network (WSN) application to adequate to work within the access control of smart home is the main aim of this paper. In this paper, a new approach of face recognition is proposed to work with WSN depending on Gabor filter and the computation of Eigen faces. Centralized algorithm principle is depended on work to carry the work load to the base station node with a flat architecture based on the principle of gossiping routing protocol. The feature vector that is traveling on the network is compressed to only 15 components with recognition rate reaches to 100% and reduction in computation complexity of Eigen faces.
Five Ports Power Divider Designs with Controllable Power Division and Switching Capabilities

Two new 5-port power divider designs capable of controlling the power division ratios between the output ports are proposed. In the first design, the input power is switchable between two pairs of the output ports. This is implemented by terminating the dividers’ two open-ended stubs with varactor diodes. In the second design, the power division is controlled by a single varactor diode that terminates one of the dividers two open-ended stubs. With judicious choice of dc bias voltage, it is possible to realize equal as well as unequal power division ratios between the four output ports. High power division ratios was achieved without the necessity of involving transmission lines with high impedances. It is demonstrated that this design is capable of generating amplitude modulated signals. Simulation and measurement results are presented for the designs to show their power division and matching performance.
Vulnerability Signatures and Log Analysis: A Survey

: Computer security has become a major concern of modern technological era and the history of security leads to a better understanding of emergence of security technology. One such field is concerned with protecting computer assets from attackers. Logs contain a huge wealth of information. Logs provides a sight of running system. Vulnerability is a kind of bug used by an attacker . log analysis for system security could be signature based or anomaly based. Both of these signatures are could either be network based or host based. In this paper a survey is done to study the current practices in generation of vulnerability signatures and analysis of logs.
Effect of Sorbitol/Oxidizer Ratio on Microwave Assisted Solution Combustion Synthesis of Copper Based Nanocatalyst for Fuel Cell Grade Hydrogen Production

Steam reforming of methanol is one of the promising processes for on-board hydrogen production used in fuel cell applications. Due to the time and energy consuming issues associated with conventional synthesis methods, in this paper a quick, facile, and effective microwave-assisted solution combustion method was applied for fabrication of copper-based nanocatalysts to convert methanol to hydrogen. For this purpose, a series of nanocatalysts with different sorbitol/nitrates ratios were synthesized by microwave-assisted combustion method. Their physicochemical properties were studied by XRD, FESEM, EDX, BET and FTIR analyses. It was found that enhancement of sorbitol/nitrates ratio led to increase of CuO dispersion and specific surface area, as well as smaller, nanometric and homogeneously dispersed particles. These significant characteristic properties especially achieved by CZA(S/N=3) nanocatalyst, resulted in high methanol conversion and hydrogen selectivity even at low temperatures. This effective performance was accompanied by negligible CO production as undesired by-product as well as poison in fuel cell applications.
Nutritional composition, fatty acid and tocopherol contents of buriti (Mauritia flexuosa) and patawa (Oenocarpus bataua) fruit pulp from the amazon region

O buriti e o pataua sao duas palmeiras endemicas da regiao Amazonica. As polpas destes frutos sao tradicionalmente consumidas pela populacao local, mas ainda nao ganharam os mercados nacional e internacional. A composicao nutricional em acidos graxos e tocoferol foi determinada com metodologias analiticas modernas de cromatografia gasosa (CG) e cromatografia liquida de alta eficiencia (CLAE) baseadas nos padroes da AOCS (AMERICAN., 2002) e AOAC (ASSOCIATION., 1997), respectivamente. As duas polpas se mostraram bastante energeticas, com uma alta concentracao em acidos graxos, respectivamente 38,4% e 29,1% em massa seca (MS), em proteinas, 7,8% e 7,4% MS e em fibras dieteticas, 46% e 44,7%. A polpa de buriti pode ser considerada uma otima fonte de vitamina E devido ao seu alto teor de tocoferol (1169 µg.g-1 MS). O perfil de acidos graxos encontrados para a polpa de pataua foi muito semelhante ao de azeite de oliva.
Financial Development and Inequality in the Global Economy

We build a heterogeneous-firms model with firm-specific wages and credit frictions to study the role of financial development for inequality in the global economy. If there are many small firms, better access to external funds reduces wage inequality and unemployment. In contrast, if there are many highproductive firms (those that export), financial development may have opposite effects - especially if trade costs are low. In sum, the implications of financial development for inequality depend on the size distribution of firms and on the costs of exporting. Trade liberalization, however, raises inequality unambiguously.
Determination of the Earths Magnetic Field Gradients from SatellitesMeasurements and Their Inversion over the Kursk Magnetic Anomaly

We computed magnetic field gradients at satellite altitude, over Europe with emphasis on the Kursk Magnetic Anomaly (KMA). They were calculated using the CHAMP satellite total magnetic anomalies. Our computations were done to determine how the magnetic field observations data from the new ESA/Swarm satellites could be utilized to determine the structure of the magnetization of the Earth’s crust, especially in the region of the KMA. Ten years of CHAMP data were used to simulate the Swarm data. An initial east magnetic anomaly gradient map of Europe was computed and subsequently the North, East and Vertical magnetic gradients for the KMA region were calculated. The vertical gradient of the KMA was also determined using Hilbert transforms. Inversion of the total KMA was derived using Simplex and Simulated Annealing algorithms. The depths of the upper and lower boundaries are calculated downward from the 324 km elevation of the satellite. Our resulting inversion depth model is a horizontal quadrangle. The maximum errors are determined by the model parameter errors.
Design of Removable Guardrail System Based on ZigBee Network

In order to solve the problem that tidal phenomena will lead to severe traffic jam, this paper designs a Removable Guardrail System based on ZigBee network (RGSZ). This system includes the user terminal device and the removable guardrail device. The user terminal selects CC2530 which supports ZigBee protocol as wireless transmission module. It sends moving instructions from user terminal to nearest guardrail device. The removable guardrail device selects MSP430 as the controller to receive moving instructions from user terminal, then driver chip will drive stepping motor to move. At the same time CC2530 sends moving instructions to next guardrail device through ZigBee, making all guardrail devices moving together. By remote controlling removable guardrails to change the width of the road on both sides, this system makes road more humanized and improves the traffic jam greatly. The result of experiment tests indicates that: the system has the characteristics of runs stably, high precision and safe information transmission.
Design and Simulation of an IF MEMS Filter Based on Face Shear Mode Square Resonator

Intermediate frequency (IF) Filters with IC (Integrated circuit) compatibility, narrow bandwidth and large stop band rejection are in need for wireless communications. This paper presents the design and simulation of a 70 MHz IF Micro-electro-mechanical filter using two identical face shear mode square resonators. By carefully designing the supporting structure of the resonators, a quality factor above 100,000 is achieved in the best designed resonator. With these face shear mode square resonators, three filters are designed and the simulated transmission response shows that these filters can obtain unterminated transmission passbands of about 25 kHz to 35 kHz with the centre frequency of 70 MHz, which represents a 0.036% to 0.05% bandwidth. This ultra narrow bandwidth IF bandpass filter can be an attractive candidate for wireless receivers.
Isolation of rhizospheric and endophytic soil bacteria SPLUMS-1 and SPLUMS-2 of oil palm against Ganoderma sp. JN234427.

Aims: The present study aimed to identify the potential ERB (endophytic root bacterium) and RSB (rhizospheric soil bacterium) of young oil palm trees against Ganoderma sp. JN234427, the causal pathogen of oil palm basal stem rot in Sabah. Methodology and results: Dual culture test was performed to select indigenous isolates with antagonistic character against Ganoderma sp. JN234427. Eleven RSB and fifteen ERB isolates were isolated from 5-year-old oil palm plots in the Faculty of Sustainable Agriculture, Universiti Malaysia Sabah. Gram's test and morphological features of all isolates were recorded and eight bacteria isolates with potential antagonistic activity were identified using the 16S rRNA gene sequences and Gen-III Biolog MicroStationTM automated identification system. The RSB3 Pseudomonas sp. SPLUMS-1 is one of the elite isolates with highest percentage inhibition of radial growth PIRG activity (57.5 %), followed by ERB15 Burkholderia sp. SPLUMS-2 (48.1 %), RSB4 P. tolaasii (44.3%), and RSB5 Bacillus subtilis (33.4 %). The PIRG activity of Pseudomonas sp. SPLUMS-1 and Burkholderia sp. SPLUMS-2 were further evaluated using agar amendment, culture filtrate and mycelia growth tests. The PIRG of Pseudomonas sp. SPLUMS-1 for the three tests mentioned above were 95.6 %, 100 % and 100 % respectively. Meanwhile, significant differences (p<0.05) in PIRG value were recorded between the agar amendment (20.1 %), culture filtrate (89.0 %) and mycelia growth (67.3 %) tests for Burkholderia sp. SPLUMS-2. Conclusion, significance and impact of study: Three bacterial genera consisting of Pseudomonas, Bacillus and Burkholderia were revealed in this study. The RSB3 and ERB15 isolates are potential biological control agents against Ganoderma sp. JN234427 for oil palm plantations in Sabah.
Keyphrase Extraction by Synonym Analysis of n-grams for E-Journals Categorisation

Automatic keyword or keyphrase extraction is concerned with assigning keyphrases to documents based on words from within the document. Previous studies have shown that in a significant number of cases author-supplied keywords are not appropriate for the document to which they are attached. This can either be because they represent what the author believes the paper is about not what it actually is, or because they include keyphrases which are more classificatory than explanatory e.g., "University of Poppleton" instead of "Knowledge Discovery in Databases". Thus, there is a need for a system that can generate appropriate and diverse range of keyphrases that reflect the document. This paper proposes a solution that examines the synonyms of words and phrases in the document to find the underlying themes, and presents these as appropriate keyphrases. The primary method explores taking n-grams of the source document phrases, and examining the synonyms of these, while the secondary considers grouping outputs by their synonyms. The experiments undertaken show the primary method produces good results and that the secondary method produces both good results and potential for future work.
Relationship between Sr:Ca Ratios in Otoliths of Grey Mullet Mugil cephalus and Ambient Salinity: Validation, Mechanisms, and Applications

Sr:Ca ratios in otoliths of grey mullet Mugil cephalus and ambient salinity: validation, mechanisms, and applications. Zoological Studies 43(1): 74-85. To understand the salinity effect on otolith Sr:Ca ratios, Sr and Ca contents of otoliths of juvenile grey mullet Mugil cephalus reared for 30 d in 8 salinities (0 -35 ) were examined. New increments deposited during the rearing period were discriminated by immersing the acclimated mullet in a tetracycline bath (600 µg/ml) for 24 h to create a fluorescent marker in the otoliths. Ca and Sr contents in the rearing water, fish body, and muscle tissues were measured with an atomic absorption spectrophotometer, and those in the otoliths were measured with an electron probe microanalyzer. Both Ca and Sr contents in the rearing water linearly increased with salinities of from 0 to 35 . The increase in Sr:Ca ratios was non-linear; they increased approximately 2-fold from (7.91 ± 0.41) x 10-3 in 0 freshwater to (15.07 ± 0.63) x 10-3 in 5 seawater and remained constant at (13.95 ± 0.79) x 10-3 in salinities of from 5 to 35 . On the other hand, Ca contents in the new otolith increments deposited in the 30-d rearing period did not change with salinities of 0 -35 , averaging 38.56% ± 0.43%. Sr contents and Sr:Ca ratios in the otoliths increased approximately 2-fold from 0.12% ± 0.01% (Sr) and (3.16 ± 0.36) x 10-3 (Sr:Ca) in 0 freshwater to 0.24% ± 0.03% (Sr) and (6.35 ± 0.70) x 10-3 (Sr:Ca) in 5 -35 seawater, which was consistent with changes in Sr:Ca ratios of the rearing water. In addition, Sr:Ca ratios in the otoliths of fish reared in 5 -35 seawater were negatively correlated with the otolith growth rate. These results indicate that Sr:Ca ratios in otoliths can be used to reconstruct an environmental history of the mullet by differentiating when the fish migrated between fresh water and seawater; however Sr:Ca ratios in the otoliths were affected by salinity and the fish growth rate in an interactive manner. http://www.sinica. edu.tw/zool/zoolstud/43.1/74.pdf
Labor Regulations and Job Quality: Evidence from India

The authors examine whether measures of job quality in India's manufacturing sector differ systematically across states with varying types of labor regulation. Their analysis uses repeated cross sections of India's National Sample Survey Organization (NSSO) household survey data from 1983 to 2004 merged with data on state-level regulations covering employment adjustment and dispute resolution. Results from a differences-in-differences procedure show that restrictions on employment adjustment and dispute settlement in a pro-worker direction contribute to improved job quality for women along most measures. Such regulations yield mixed results for men, however; results indicate that higher wages come at the expense of fewer hours, substitution toward in-kind compensation, and less job security. The authors conclude that India's labor legislation does have a silver lining with respect to job quality, but that silver lining applies selectively.
Reviewing Sentiment Analysis and Opinion Mining of Social Media

Sentiment testing in Social Medial is fairly hard because of its brief length. Presence of emoticons, slang words and misspellings in tweets forced to have one step that is preprocessing feature extraction. There are various feature removal methods for collecting features which are relevant text that can easily be put on tweets also. But the function removal will be carried out in two stages to draw out features which can be relevant. You can find different Symbolic and Machine techniques which are learning identify sentiments from text. Machine strategies being discovering easier and efficient than Symbolic methods. These methods are applied for twitter sentiment analysis. There are particular problems whilst coping with distinguishing search term this is certainly psychological tweets having several keywords. Additionally, it is difficult to handle misspellings and words which are slang. A simple yet effective function vector is created by doing feature removal in 2 steps after proper preprocessing to manage these problems. When you look at the step this is certainly initially twitter specific features are removed and put into the function vector. From then on, these functions tend to be removed from tweets and again feature extraction is done as though it's done on normal text. This report surveys analysis that is emotion treatment request and tests.
Open City Data Pipeline

Statistical data about cities, regions and at country level is collected for various purposes and from various institutions. Yet, while access to high quality and recent such data is crucial both for decision makers as well as for the public, all to often such collections of data remain isolated and not re-usable, let alone properly integrated. In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide, and republish this data in a reusable manner as Linked Data. The main feature of the Open City Data Pipeline are: (i) we integrate and cleanse data from several sources in a modular and extensible, always up-to-date fashion; (ii) we use both Machine Learning techniques as well as ontological reasoning over equational background knowledge to enrich the data by imputing missing values, (iii) we assess the estimated accuracy of such imputations per indicator. Additionally, (iv) we make the integrated and enriched data available both in a we browser interface and as machine-readable Linked Data, using standard vocabularies such as QB and PROV, and linking to e.g. DBpedia. Lastly, in an exhaustive evaluation of our approach, we compare our enrichment and cleansing techniques to a preliminary version of the Open City Data Pipeline presented at ISWC2015: firstly, we demonstrate that the combination of equational knowledge and standard machine learning techniques significantly helps to improve the quality of our missing value imputations; secondly, we arguable show that the more data we integrate, the more reliable our predictions become. Hence, over time, the Open City Data Pipeline shall provide a sustainable effort to serve Linked Data about cities in increasing quality.
Models Predicting Above- and Belowground Biomass of Thicket and Associate Tree Species in Itigi Thicket Vegetation of Tanzania

Itigi thicket is a unique vegetation type for Tanzania and is regarded as ecologically sensitive, thus earmarked for conservation. The objective of this study was to develop species-specific biomass models for two dominating thicket species and mixed-species biomass models for associate trees in Itigi thicket vegetation. Data were collected through destructive sampling (60 thicket clumps and 30 associate trees) and covered two dominant thicket species: Combretum celastroides Laws and Pseudoprosopsis fischeri (Tab) Harms and five dominant associate tree species: Canthium burtii Bullock sensu R. B. Drumm, Cassipourea mollis (R. E. Fr.) Alston, Haplocoelum foliolosum L, Lannea fulva (Engl.) England Vangueria madagascariensis J. F. Gmelin. Different nonlinear multiplicative model forms were tested, and models were selected based on Akaike Information Criterion. Large parts of the variation in biomass of thicket clumps were explained by basal area weighed mean diameter at breast height of stems in the clump and number of stems in the clump, i.e. for aboveground biomass (AGB) and belowground biomass (BGB) of C. celastroides up to 89% and 82% respectively and for AGB and BGB of P. fischeri up to 96% and 95% respectively. For associate trees most variation was explained by diameter at breast height (dbh) alone, i.e. up to 85% and 69% for ABG and BGB respectively. Although there will be some uncertainties related to biomass estimates for large areas, for practical reasons, we recommend the selected models to be applied to the entire area where Itigi thicket extends outside our study site, and also to those thicket and associate tree species present that were not included in the data used for modelling.