Miracle-dz/UniFAR-FTUs huggingface dataset:
Production, Characterization, and Antioxidant Activity of Fucoxanthin from the Marine Diatom Odontella aurita

The production, characterization, and antioxidant capacity of the carotenoid fucoxanthin from the marine diatom Odontella aurita were investigated. The results showed that low light and nitrogen-replete culture medium enhanced the biosynthesis of fucoxanthin. The maximum biomass concentration of 6.36 g L−1 and maximum fucoxanthin concentration of 18.47 mg g−1 were obtained in cultures grown in a bubble column photobioreactor (Ø 3.0 cm inner diameter), resulting in a fucoxanthin volumetric productivity of 7.96 mg L−1 day−1. A slight reduction in biomass production was observed in the scaling up of O. aurita culture in a flat plate photobioreactor, yet yielded a comparable fucoxanthin volumetric productivity. A rapid method was developed for extraction and purification of fucoxanthin. The purified fucoxanthin was identified as all-trans-fucoxanthin, which exhibited strong antioxidant properties, with the effective concentration for 50% scavenging (EC50) of 1,1-dihpenyl-2-picrylhydrazyl (DPPH) radical and 2,2′-Azino-bis(3-ethylbenzthiazoline-6-sulfonic acid (ABTS) radical being 0.14 and 0.03 mg mL−1, respectively. Our results suggested that O. aurita can be a natural source of fucoxanthin for human health and nutrition.
Assignment of Sensors for Multiple Tasks Using Path Information

A gsharedh wireless sensor network (WSN) where multiple users deploy multiple tasks requires a mechanism for resource arbitration. This arbitration can be viewed as a problem with determining how best to assign sensors to tasks. The previous approaches only dealt with energy used for sensing, however, experiments have shown that the energy used for communication must be dealt with within the context of a WSN. In this paper, we propose a novel formulation of this problem and a distributed assignment algorithm based on heuristics that takes into account path information between the assigned node and the base station. We take advantage of the greactiveh nature of the system and piggyback path information on task queries. We can expect higher utilization of the network in comparison with previous approaches by preserving routes through which sensing data run. The results of software simulations revealed that our assignment algorithm is more energy-efficient than the previous one that does not exploit information about the path.
Who should benefit and why?: Discourses on REDD+ benefit sharing

Before designing effective benefit sharing mechanisms for REDD+, it is necessary to resolve the question of what REDD+ seeks to achieve. The objectives profoundly affect the design of benefit and cost sharing mechanisms. Benefits are not only financial. Few REDD+ projects are providing direct financial transfers to households in their early stages, thus benefit sharing requires attention to a wide range of activities.The legitimacy of the decision making institutions and processes is critical. Legal clarity is needed, as is consensus as to which institutions have the right to make decisions and attention to procedural rights.
Designing an Intelligent Agent for Information Appliances

An intelligent agent architecture is proposed for integration of information appliances (IAs). Based on the characteristics of different IAs and the proposed agent module, the system designer can design differ- ent knowledge bases and communication interfaces for the different IA agents. Therefore, the IA agent will be used to promote the capabilities of the IAs. Also, the agent will follow up the rules in the knowledge base and environment information to make decisions for IA automation. Furthermore, agents can use an agent commu- nication language for communication and cooperation with each other. In addition, by automatic communica- tion and cooperation among the agents, an IA with the IA agents can generate more added-value functions than what a single IA system can provide. An implementation of IA agents in a smart home is used to demon- strate the proposed approach.
Investigation of the 2006 drought and 2007 flood extremes at the Southern Great Plains through an integrative analysis of observations

Hydrological years 2006 (HY06, 10/2005-09/2006) and 2007 (HY07, 10/2006-09/2007) provide a unique opportunity to examine hydrological extremes in the central US because there are no other examples of two such highly contrasting precipitation extremes occurring in consecutive years at the Southern Great Plains (SGP) in recorded history. The HY06 annual precipitation in the state of Oklahoma, as observed by the Oklahoma Mesonet, is around 61% of the normal (92.84 cm, based on the 1921-2008 climatology), which results in HY06 the second-driest year in the record. In particular, the total precipitation during the winter of 2005-06 is only 27% of the normal, and this winter ranks as the driest season. On the other hand, the HY07 annual precipitation amount is 121% of the normal and HY07 ranks as the seventh-wettest year for the entire state and the wettest year for the central region of the state. Summer 2007 is the second-wettest season for the state. Large-scale dynamics play a key role in these extreme events. During the extreme dry period (10/2005-02/2006), a dipole pattern in the 500-hPa GH anomaly existed where an anomalous high was over the southwestern U.S. region and an anomalous low was over the Great Lakes. This pattern is associated with inhibited moisture transport from the Gulf of Mexico and strong sinking motion over the SGP, both contributing to the extreme dryness. The precipitation deficit over the SGP during the extreme dry period is clearly linked to significantly suppressed cyclonic activity over the southwestern U.S., which shows robust relationship with the Western Pacific (WP) teleconnection pattern. The precipitation events during the extreme wet period (May-July 2007) were initially generated by active synoptic weather patterns, linked with moisture transport from the Gulf of Mexico by the northward low level jet, and enhanced by the mesoscale convective systems. Although the drought and pluvial conditions are dominated by large-scale dynamic patterns, we have demonstrated that the two positive feedback processes during the extreme dry and wet periods found in this study play a key role to maintain and reinforce the length and severity of existing drought and flood events. For example, during the extreme dry period, with less clouds, LWP, PWV, precipitation, and thinner Cu cloud thickness, more net radiation was absorbed and used to evaporate water from the ground. The evaporated moisture, however, was removed by low-level divergence. Thus, with less precipitation and removed atmospheric moisture, more absorbed incoming solar radiation was used to increase surface temperature and to make the ground drier.
Gossiping Nets

The question of how the human mind works and what the basis of its admirable capabilities is probably goes back to the first human who thought about how the very act of thinking comes about. In the meantime, psychologists have acquired plenty of material on human behavior, learning, and perception, while physiologists have uncovered an immense collection of properties of nerve cells and the structures they form in the brain. Starting with a paper by McCulloch and Pitts [1] these biological findings have been abstracted to a series of simplified models, which can be defined in mathematical terms and studied in their own right. According to this model, the brain is “nothing but” a set of simple elements interconnected to a huge graph with some laws governing the time course of the distribution of activity across the elements. Some of the elements are connected to sensors like eyes or ears and are considered input, others are attached to muscles and are considered output. For simplicity, the elements are called neurons, the graphs they form “neural networks” or “neural nets”. Since 1946, this basic idea has been followed, refined, tested and put to use. It turned out that the “nothing but” is a huge euphemism, both because the model is much too simple to cover the biological properties of a brain and even small neural networks can be extremely complicated systems. As for the question of how the mind works, many more open questions have been raised than definitive answers given. Formalized systems have been studied in considerable detail and some of them have become standard tools in statistics, control theory, and computer science. Researchers working on this idea found themselves in the situation that no academic discipline was really responsible for their research and some even rejected it quite fiercely. Consequently, the now established research discipline of Neurocomputing continues to have strong influences from electrical engineering, mathematics, computer science, psychology, neurobiology, and physiology. Clearly the development of such a field can not proceed without tension.
University Industry Relationships and Open Innovation: Towards a Research Agenda

Organizations increasingly rely on external sources of innovation via inter-organizational network relationships. This paper explores the diffusion and characteristics of collaborative relationships between universities and industry, and develops a research agenda informed by an open innovation perspective. A framework is proposed, distinguishing university industry relationships from other mechanisms such as technology transfer or human mobility. On the basis of the existing body of research, the role of practices such as collaborative research, university industry research centres, contract research and academic consulting is analysed. The evidence suggests that such university industry relationships are widely practised, whereby differences exist across industries and scientific disciplines. While most existing research focuses on the effects of university industry links on innovation-specific variables such as patents or firm innovativeness, the organizational dynamics of these relationships remain under-researched. A detailed research agenda addresses research needs in two main areas: search and match processes between universities and firms, and the organization and management of collaborative relationships.
Draft Genome Sequence of Marine Bacterium Streptomyces sp. Strain CNQ431, a Producer of the Cytokine Inhibitor Splenocin

ABSTRACT Currently, corticosteroids are the most potent anti-inflammatory drugs on the market. Here, we announce the draft genome sequence of the marine-derived Streptomyces sp. strain CNQ431, which produces cytokine inhibitors, termed splenocins, which display potent suppression of cytokine production at a comparable level to that of corticosteroids. The genome is approximately 498,750 bp with 72.03% G+C content.
Dictionary attack on Wordpress: Security and forensic analysis

The effective forensic investigation of a security attack on a web application relies on the forensic readiness of the web application system, supportive forensic tools, and skills of the forensic investigator. Web application forensic readiness incorporates evidence collection by enabling logging and the evidence protection for those log files through techniques such as permission settings in order to retain the integrity. Furthermore, a forensic investigator should have a good comprehension of web application functionality, web server architecture, and web application security issues. This paper focuses on a dictionary attack experiment against Wordpress (a web application) administered by a persona named Peter Quill (a fictitious character). The dictionary attack was able to successfully guess the seven-character password used for the persona's user account. A set of techniques and tools are critically analysed to determine whether they can be applicable to the experiment scenario. The techniques mostly focus on retrieving the log files from the web server, the application server, the database server, and the web application itself, while the tools deal with collecting, analysing, and presenting the log file data.
Cumbre Vieja Volcano—Potential collapse and tsunami at La Palma, Canary Islands

Geological evidence suggests that during a future eruption, Cumbre Vieja Volcano on the Island of La Palma may experience a catastrophic failure of its west flank, dropping 150 to 500 km³ of rock into the sea. Using a geologically reasonable estimate of landslide motion, we model tsunami waves produced by such a collapse. Waves generated by the run‐out of a 500 km³ (150 km³) slide block at 100 m/s could transit the entire Atlantic Basin and arrive on the coasts of the Americas with 10–25 m (3–8 m) height.
Designing strategy for improving teacher’s organizational commitment in the remote elementary schools of Merauke district, Papua, Indonesia

Teacher’s organizational commitment is one of the basic concepts unfolding the relationship between an employee and an organization. As the success of an organization may depend on how its employees get committed to, this present study was aimed at designing strategic policies to boost teacher’s organizational commitment in the remote elementary schools of Merauke district, Papua, Indonesia. This present study employed a qualitative research approach using a case study research design due to that: (a) our personal competence of securing the informants’ real name and office that may cause any harm to their carrier and personality, (b) our focus is on the effort of creating strategic policies to address teacher’s organizational commitment in the remote elementary schools of Merauke district, Papua, and (c) we can utilize data of teacher’s organizational commitment from the vary of data resources, namely: local community members, educational practitioners (teachers, lecturers, school principals, school supervisors), and local government. A purposive sampling technique was used to obtain 72 informants drawn from amongst local community members, educational practitioners (teachers, lecturers, school principals, and school supervisors), and local government. Profound interview to the local community members, educational practitioners (teachers, lecturers, school principals, and school supervisors), and local government was the main tool of the study to collect data. Data were analyzed qualitatively using Ishikawa’s fishbone diagram analysis. Results of data analysis revealed three major strategic policies of boosting teacher’s organizational commitment in the remote elementary schools of Merauke district, namely: (a) strategies related to teachers’ individual characteristics, (b) strategies related to teachers’ working conditions, and (c) strategies related to educational policy maker. These findings might be imperative for the institution of teacher training and education to design curriculum to address the special need of having teachers which are morally and mentally qualified. These findings might be also worthwhile for the local government to make an effort of creating more enjoyable working conditions and of creating regulations that will practically guide the way of recruiting and of selecting the school principals.
Characterization and modeling of self-heating effect on transient current overshoot in poly-Si TFTs fabricated on glass substrate

Characteristics of transient drain current overshoot in poly-Si TFTs are measured, and an equivalent thermal circuit model is proposed based on the experimental results. By changing the terminals on which a step voltage is applied, two main mechanisms causing the transient current, i.e., the electron trapping effect and the self-heating effect, can be separately evaluated. Using this new technique, we discuss the heat conduction mechanisms in TFTs responsible for describing the transient current overshoot component induced by the self-heating effect.
Classification of Single Normal and Alzheimer's Disease Individuals from Cortical Sources of Resting State EEG Rhythms

Previous studies have shown abnormal power and functional connectivity of resting state electroencephalographic (EEG) rhythms in groups of Alzheimer's disease (AD) compared to healthy elderly (Nold) subjects. Here we tested the best classification rate of 120 AD patients and 100 matched Nold subjects using EEG markers based on cortical sources of power and functional connectivity of these rhythms. EEG data were recorded during resting state eyes-closed condition. Exact low-resolution brain electromagnetic tomography (eLORETA) estimated the power and functional connectivity of cortical sources in frontal, central, parietal, occipital, temporal, and limbic regions. Delta (2–4 Hz), theta (4–8 Hz), alpha 1 (8–10.5 Hz), alpha 2 (10.5–13 Hz), beta 1 (13–20 Hz), beta 2 (20–30 Hz), and gamma (30–40 Hz) were the frequency bands of interest. The classification rates of interest were those with an area under the receiver operating characteristic curve (AUROC) higher than 0.7 as a threshold for a moderate classification rate (i.e., 70%). Results showed that the following EEG markers overcame this threshold: (i) central, parietal, occipital, temporal, and limbic delta/alpha 1 current density; (ii) central, parietal, occipital temporal, and limbic delta/alpha 2 current density; (iii) frontal theta/alpha 1 current density; (iv) occipital delta/alpha 1 inter-hemispherical connectivity; (v) occipital-temporal theta/alpha 1 right and left intra-hemispherical connectivity; and (vi) parietal-limbic alpha 1 right intra-hemispherical connectivity. Occipital delta/alpha 1 current density showed the best classification rate (sensitivity of 73.3%, specificity of 78%, accuracy of 75.5%, and AUROC of 82%). These results suggest that EEG source markers can classify Nold and AD individuals with a moderate classification rate higher than 80%.
Beneficial effects of omega-3 fatty acids: the current evidence.

H igh triglyceride (TG) levels have been recognised as an independent risk factor for coronary heart disease (CHD), while severe hypertriglyceridaemia (fasting TGs ≥500 mg/dL) significantly increases the risk of acute pancreatitis, a potentially deadly complication. Moreover, a key feature of the dyslipidaemia associated with the metabolic syndrome as well as diabetes is elevated TG levels. Fish oil can have a therapeutic role in the treatment of marked hypertriglyceridaemia. Omega-3 fatty acids (ˆ-3 FAs), found primarily in fatty fish with high oil content, consist of both eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). They can also be found in some leafy vegetables, nuts, and oils as a-linolenic acid. There is increasing evidence that ˆ-3 FAs exhibit anti-inflammatory, anti-thrombotic, antiarrhythmic and anti-atherogenic effects. Moreover, fish oil supplementation has consistently been shown to display a significant TG-lowering effect. Effective doses of ˆ-3 FAs range from 3-5 g/day, which can only be obtained by supplementation. In cases of severe hypertriglyceridaemia, where diet and fibrate therapy are insufficient to achieve normal fasting TG levels, the administration of ˆ3 FAs may be useful. In a comprehensive review, Harris et al reported that the administration of 4 g/day of ˆ-3 FAs decreased TG levels by 25-30%, while producing an increase in low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) levels of 510% and 1-3%, respectively. Additionally, a dose-response relationship was reported to exist between ˆ-3 FA intake and TG lowering. A small clinical trial including 42 patients with severe hypertriglyceridaemia (TG levels: 500-2000 mg/dL) showed that the administration of an agent composed of highly concentrated ˆ-3 FA ethyl esters at a daily dosage of 4 g produced a decrease in TG by 45%, total cholesterol (TC) by 15%, very low-density lipoprotein cholesterol (VLDL-C) by 32%, while increasing HDLC by 13% and LDL-C by 31%. The results of another small trial (including 30 patients with TG levels between 354 and 2478 mg/dL) showed that the administration of 4 g/day of ˆ-3 FAs had a similar effect on lipid and lipoprotein concentration to that of the administration of gemfibrozil 1200 mg/day. Specifically, the administration of ˆ-3 FAs resulted in a decrease in TC levels by 9 ± 15%, TG levels by 37 ± 25%, VLDL-C by 33 ± 22%, and increased HDL-C by 11 ± 18% and LDL-C by 30 ± 31%. Moreover, both ˆ-3 FAs and gemfibrozil led to a more buoyant LDL subfraction profile (i.e. cholesterol concentration decreased in small dense LDL 4 and 5 subfractions and increased in large buoyant LDL 1, 2 and 3 subfractions). Combining 21 trials evaluating lipid outcomes, fish oil Beneficial Effects of Omega-3 Fatty Acids: The Current Evidence
Low-complexity pruned 8-point DCT approximations for image encoding

Two multiplierless pruned 8-point discrete cosine transform (DCT) approximation are presented. Both transforms present lower arithmetic complexity than state-of-the-art methods. The performance of such new methods was assessed in the image compression context. A JPEG-like simulation was performed, demonstrating the adequateness and competitiveness of the introduced methods. Digital VLSI implementation in CMOS technology was also considered. Both presented methods were realized in Berkeley Emulation Engine (BEE3).
Efficient computation of personal aggregate queries on blogs

There is an exploding amount of user-generated content on theWeb due to the emergence of "Web 2.0" services, such as Blogger,MySpace, Flickr, and del.icio. us. The participation of a large number of users in sharing their opinion on the Web has inspired researchers to build an effective "information filter" by aggregating these independent opinions. However, given the diverse groups of users on the Web nowadays, the global aggregation of the information may not be of much interest to different groups of users. In this paper, we explore the possibility of computing personalized aggregation over the opinions expressed on the Web based on a user's indication of trust over the information sources. The hope is that by employing such "personalized" aggregation, we can make the recommendation more likely to be interesting to the users. We address the challenging scalability issues by proposing an efficient method, that utilizes two core techniques: Non-Negative Matrix Factorization and Threshold Algorithm, to compute personalized aggregations when there are potentially millions of users and millions of sources within a system. We show that, through experiments on real-life dataset, our personalized aggregation approach indeed makes a significant difference in the items that are recommended and it reduces the query computational cost significantly, often more than 75%, while the result of personalized aggregation is kept accurate enough.
Procedural Playable Cave Systems Based on Voronoi Diagram and Delaunay Triangulation

The volumetric approach for terrain representation is a technique used by several video-games and other graphic applications to manage both surface and geological data from the virtual world. To enhance the exploration experience and due to the amount of data required by this approach, volumetric terrains are usually generated with procedural methods. Nevertheless, one of the main issues of those methods is the generation of cave systems with playable features and a natural appearance. In this paper we propose a new method to generate playable cave systems for 2D and 3D volumetric terrains, based on Voronoi diagrams and Delaunay triangulations. Our approach is completely customizable by the designer by a set of parameters directly related to the cave itself avoiding technical concepts. Additionally, the method runs in a completely independent way, with no interactive steps.