A Comparison of Machine Learning Techniques for Modeling River Flow Time Series: The Case of Upper Cauvery River Basin

Models of river flow time series are essential in efficient management of a river basin. It helps policy makers in developing efficient water utilization strategies to maximize the utility of scarce water resource. Time series analysis has been used extensively for modeling river flow data. The use of machine learning techniques such as support-vector regression and neural network models is gaining increasing popularity. In this paper we compare the performance of these techniques by applying it to a long-term time-series data of the inflows into the Krishnaraja Sagar reservoir (KRS) from three tributaries of the river Cauvery. In this study flow data over a period of 30 years from three different observation points established in upper Cauvery river sub-basin is analyzed to estimate their contribution to KRS. Specifically, ANN model uses a multi-layer feed forward network trained with a back-propagation algorithm and support vector regression with epsilon intensive-loss function is used. Auto-regressive moving average models are also applied to the same data. The performance of different techniques is compared using performance metrics such as root mean squared error (RMSE), correlation, normalized root mean squared error (NRMSE) and Nash-Sutcliffe Efficiency (NSE).

REPERTOIRE OF PROTEIN KINASES ENCODED IN THE GENOME OF ZEBRAFISH SHOWS REMARKABLY LARGE POPULATION OF PIM KINASES

In recent times, zebrafish has garnered lot of popularity as model organism to study human cancers. Despite high evolutionary divergence from humans, zebrafish develops almost all types of human tumors when induced. However, mechanistic details of tumor formation have remained largely unknown. Present study is aimed at analysis of repertoire of kinases in zebrafish proteome to provide insights into various cellular components. Annotation using highly sensitive remote homology detection methods revealed ``substantial expansion'' of Ser/Thr/Tyr kinase family in zebrafish compared to humans, constituting over 3% of proteome. Subsequent classification of kinases into subfamilies revealed presence of large number of CAMK group of kinases, with massive representation of PIM kinases, important for cell cycle regulation and growth. Extensive sequence comparison between human and zebrafish PIM kinases revealed high conservation of functionally important residues with a few organism specific variations. There are about 300 PIM kinases in zebrafish kinome, while human genome codes for only about 500 kinases altogether. PIM kinases have been implicated in various human cancers and are currently being targeted to explore their therapeutic potentials. Hence, in depth analysis of PIM kinases in zebrafish has opened up new avenues of research to verify the model organism status of zebrafish.

Biodiesel Exhaust Treatment with Dielectric Barrier Discharges Coupled with Industrial Waste Byproducts

Biodiesel run engines are gaining popularity since the last few years as a viable alternative to conventional petro-diesel based engines. In biodiesel exhaust the content of volatile organic compounds, oil mist, and mass of particulate matter is considerably lower. However, the concentration of oxides of nitrogen (NOx) is relatively higher. In this paper the biodiesel exhaust from a stationary engine is treated under controlled laboratory conditions for removal of NOx using dielectric barrier discharge plasma in cascade with adsorbents prepared from abundantly available industrial waste byproducts like red mud and copper slag. Results were compared with gamma-alumina, a commercial adsorbent. Two different dielectric barrier discharge (DBD) reactors were tested for their effectiveness under Repetitive pulses /AC energization. NOx removal as high as 80% was achieved with pulse energized reactors when cascaded with red mud as adsorbent.

QoS Aware Trust Metric based Framework for Wireless Sensor Networks

Wireless Sensor Networks have gained popularity due to their real time applications and low-cost nature. These networks provide solutions to scenarios that are critical, complicated and sensitive like military fields, habitat monitoring, and disaster management. The nodes in wireless sensor networks are highly resource constrained. Routing protocols are designed to make efficient utilization of the available resources in communicating a message from source to destination. In addition to the resource management, the trustworthiness of neighboring nodes or forwarding nodes and the energy level of the nodes to keep the network alive for longer duration is to be considered. This paper proposes a QoS Aware Trust Metric based Framework for Wireless Sensor Networks. The proposed framework safeguards a wireless sensor network from intruders by considering the trustworthiness of the forwarder node at every stage of multi-hop routing. Increases network lifetime by considering the energy level of the node, prevents the adversary from tracing the route from source to destination by providing path variation. The framework is built on NS2 Simulator. Experimental results show that the framework provides energy balance through establishment of trustworthy paths from the source to the destination. (C) 2015 The Authors. Published by Elsevier B.V.

Nanomechanical Mapping, Hierarchical Polymer Dynamics, and Miscibility in the Presence of Chain-End Grafted Nanoparticles

To improve the spatial distribution of nano particles in a polymeric host and to enhance the interfacial interaction with the host, the use of chain-end grafted nanoparticle has gained popularity in the field of polymeric nanocomposites. Besides changing the material properties of the host, these grafted nanoparticles strongly alter the dynamics of the polymer chain at both local and cooperative length scales (relaxations) by manipulating the enthalpic and entropic interactions. It is difficult to map the distribution of these chain-end grafted nanoparticles in the blend by conventional techniques, and herein, we attempted to characterize it by unique technique(s) like peak force quantitative nanomechanical mapping (PFQNM) through AFM (atomic force microscopy) imaging and dielectric relaxation spectroscopy (DRS). Such techniques, besides shedding light on the spatial distribution of the nanoparticles, also give critical information on the changing elasticity at smaller length scales and hierarchical polymer chain dynamics in the vicinity of the nanoparticles. The effect of one-dimensional rodlike multiwall carbon nanotubes (MWNTs), with the characteristic dimension of the order of the radius of gyration of the polymeric chain, on the phase miscibility and chain dynamics in a classical LCST mixture of polystyrene/ poly(vinyl methyl ether) (PS/PVME) was examined in detail using the above techniques. In order to tune the localization of the nanotubes, different molecular weights of PS (13, 31, and 46 kDa), synthesized using RAFT (reversible addition fragmentation chain transfer) polymerization, was grafted onto MWNTs in situ. The thermodynamic miscibility in the blends was assessed by low-amplitude isochronal temperature sweeps, the spatial distribution of MWNTs in the blends was evaluated by PFQNM, and the hierarchical polymer chain dynamics was studied by DRS. It was observed that the miscibility, concentration fluctuation, and cooperative relaxations of the PS/PVME blends are strongly governed by the spatial distribution of MWNTs in the blends. These findings should help guide theories and simulations of hierarchical chain dynamics in LCST mixtures containing rodlike nanoparticles.

Nanomechanical Mapping, Hierarchical Polymer Dynamics, and Miscibility in the Presence of Chain-End Grafted Nanoparticles

To improve the spatial distribution of nano particles in a polymeric host and to enhance the interfacial interaction with the host, the use of chain-end grafted nanoparticle has gained popularity in the field of polymeric nanocomposites. Besides changing the material properties of the host, these grafted nanoparticles strongly alter the dynamics of the polymer chain at both local and cooperative length scales (relaxations) by manipulating the enthalpic and entropic interactions. It is difficult to map the distribution of these chain-end grafted nanoparticles in the blend by conventional techniques, and herein, we attempted to characterize it by unique technique(s) like peak force quantitative nanomechanical mapping (PFQNM) through AFM (atomic force microscopy) imaging and dielectric relaxation spectroscopy (DRS). Such techniques, besides shedding light on the spatial distribution of the nanoparticles, also give critical information on the changing elasticity at smaller length scales and hierarchical polymer chain dynamics in the vicinity of the nanoparticles. The effect of one-dimensional rodlike multiwall carbon nanotubes (MWNTs), with the characteristic dimension of the order of the radius of gyration of the polymeric chain, on the phase miscibility and chain dynamics in a classical LCST mixture of polystyrene/ poly(vinyl methyl ether) (PS/PVME) was examined in detail using the above techniques. In order to tune the localization of the nanotubes, different molecular weights of PS (13, 31, and 46 kDa), synthesized using RAFT (reversible addition fragmentation chain transfer) polymerization, was grafted onto MWNTs in situ. The thermodynamic miscibility in the blends was assessed by low-amplitude isochronal temperature sweeps, the spatial distribution of MWNTs in the blends was evaluated by PFQNM, and the hierarchical polymer chain dynamics was studied by DRS. It was observed that the miscibility, concentration fluctuation, and cooperative relaxations of the PS/PVME blends are strongly governed by the spatial distribution of MWNTs in the blends. These findings should help guide theories and simulations of hierarchical chain dynamics in LCST mixtures containing rodlike nanoparticles.

The Linear Ordering Problem Revisited

The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature. However, in spite of its popularity, little is known about the characteristics of this problem. This paper studies a procedure to extract static information from an instance of the problem, and proposes a method to incorporate the obtained knowledge in order to improve the performance of local search-based algorithms. The procedure introduced identifies the positions where the indexes cannot generate local optima for the insert neighbourhood, and thus global optima solutions. This information is then used to propose a restricted insert neighbourhood that discards the insert operations which move indexes to positions where optimal solutions are not generated. In order to measure the efficiency of the proposed restricted insert neighbourhood system, two state-of-the-art algorithms for the LOP that include local search procedures have been modified. Conducted experiments confirm that the restricted versions of the algorithms outperform the classical designs systematically. The statistical test included in the experimentation reports significant differences in all the cases, which validates the efficiency of our proposal.

NUMERICAL AND EXPERIMENTAL STUDY ON LIQUID-SOLID FLOW IN A HYDROCYCLONE

Hydrocyclones are widely used in industry, of which the geometrical design using CFD techniques is gaining more popularity in recent years. In this study, the Euler-Euler approach and the Reynolds stress model are applied to simulate the liquid-solid flowfield in a hydrocyclone. The methodology is validated by a good agreement between experimental data and numerical results. Within the research range, the simulation indicates that the liquid-solid separation mainly occurs in the conical segment, and increasing conical height or decreasing cylindrical height helps to improve the grade efficiencies of solid particles. Based on these results, two of the same hydrocyclones are designed and installed in series to establish a liquid-solid separation system. Many experiments are then conducted under different conditions, in which the effects of the water cut and the second hydrocyclone on the separation are investigated. The results also confirm that smaller solid particles are more susceptible to the inlet conditions, and the second hydrocyclone plays a more important role as the water cut reduces.

The story of a small trout fishery

This article relates the experience of creating and developing a fishery in southern England. The fishery was made from a small stream which dries up from time to time, and marks the boundary between a Sussex farm and a large coniferous forest. The preparation of the site and creation of the impoundment are described, and early experiences outlined. The fishery was expanded in later years, as a result of its popularity, and records of its use by anglers are illustrated. The performance of the fishery is measured in terms of "good fish" (more than 675 g) taken, and their number has increased from 81 in 1984 to 226 in 1991. The aquatic plants, invertebrates, and birds of the fishery are discussed, as are the natural predators of the fish.

Deep learning review and its applications

Deep neural networks have recently gained popularity for improv- ing state-of-the-art machine learning algorithms in diverse areas such as speech recognition, computer vision and bioinformatics. Convolutional networks especially have shown prowess in visual recognition tasks such as object recognition and detection in which this work is focused on. Mod- ern award-winning architectures have systematically surpassed previous attempts at tackling computer vision problems and keep winning most current competitions. After a brief study of deep learning architectures and readily available frameworks and libraries, the LeNet handwriting digit recognition network study case is developed, and lastly a deep learn- ing network for playing simple videogames is reviewed.

We can work it out: an enactive look at cooperation

The past years have seen an increasing debate on cooperation and its unique human character. Philosophers and psychologists have proposed that cooperative activities are characterized by shared goals to which participants are committed through the ability to understand each other’s intentions. Despite its popularity, some serious issues arise with this approach to cooperation. First, one may challenge the assumption that high-level mental processes are necessary for engaging in acting cooperatively. If they are, then how do agents that do not possess such ability (preverbal children, or children with autism who are often claimed to be mind-blind) engage in cooperative exchanges, as the evidence suggests? Secondly, to define cooperation as the result of two de-contextualized minds reading each other’s intentions may fail to fully acknowledge the complexity of situated, interactional dynamics and the interplay of variables such as the participants’ relational and personal history and experience. In this paper we challenge such accounts of cooperation, calling for an embodied approach that sees cooperation not only as an individual attitude toward the other, but also as a property of interaction processes. Taking an enactive perspective, we argue that cooperation is an intrinsic part of any interaction, and that there can be cooperative interaction before complex communicative abilities are achieved. The issue then is not whether one is able or not to read the other’s intentions, but what it takes to participate in joint action. From this basic account, it should be possible to build up more complex forms of cooperation as needed. Addressing the study of cooperation in these terms may enhance our understanding of human social development, and foster our knowledge of different ways of engaging with others, as in the case of autism.

Impacto de la web 2.0 en los perfiles profesionales

En pleno siglo XXI, el uso de Internet y los avances no sólo afectan a las personas sino que las empresas también deben evolucionar al mismo ritmo y adaptar todas sus prácticas a dichos avances. Con la aparición de la Web 2.0, ciertos aspectos de las empresas han quedado obsoletos y se han debido adaptar a la nueva era: la era de la comunicación e de la interacción a través de Internet. Se han creado nuevos modelos de negocio, se han mejorado actividades de la cadena de valor, han surgido nuevas estrategias de marketing y comunicación corporativa y se han creado unos nuevos canales de venta, alrededor del fenómeno e-Commerce. En cuanto a los trabajadores, las empresas han comenzado a valorar nuevas competencias relacionadas con el uso de Internet y la Web 2.0. Dichas competencias pueden ser comunes para muchos puestos de trabajo, por ejemplo el uso de redes sociales o la gestión de la información, otras son más específicas y dependen del puesto de trabajo que consideremos. Finalmente, la aparición de la Web 2.0 ha exigido a las empresas a crear nuevas áreas y puestos de trabajo o modificar los actuales para adecuarse a los nuevos tiempos y tendencias. Así surgen los diferentes perfiles profesionales de las áreas de Estrategia Digital, Marketing Digital, Contenido Digital, Social Media, Análisis Big Data, e-Commerce y Mobile Marketing. Estos perfiles gozan de mucha popularidad y demanda por parte de las empresas y se estima que va a crecer aún más el número de puestos relacionados con el ámbito digital, ya que son las profesiones del futuro.

Differenzierung von Kammmuscheln durch DNA-Analyse

Abstract In the last years scallops have reached a considerable popularity and the import of scallops into the EU has increased about 20 % over the last fi ve years from some 50.000 t to nearly 63.000 t in the year 2010. Scallops are fi shed or farmed, and traded as fresh or deep frozen product. Recently investigation of scallop products of various origins by determining the species using molecular biological techniques showed that the species had been mislabelled in a considerable proportion of samples. Determination of the species was performed by PCR-based DNA-analysis of mitochondrial DNA followed by (i) sequencing the PCR product and (ii) comparison of the DNA sequence with entries in GenBank using BLAST. The deduced sequences of the analysed samples were considerably different from each other allowing the unambiguous assignment of samples to a certain species. Kurzfassung Die Nachfrage von Kammmuscheln in der EU hat in den letzten fünf Jahren erheblich zugenommen. Der Import stieg von knapp 53.000 t im Jahr 2005 um 20% auf annähernd 63.000 t im Jahr 2010. Gehandelt werden Kammmuscheln sowohl als frische als auch als Tiefkühlware aus Wildfängen und Aquakultur. Untersuchungen von Kammmuschel-Proben aus verschiedenen Ursprungsländern und Bestimmung der Spezies auf molekularbiologischer Basis zeigten, dass ein erheblicher Anteil der Proben falsch deklariert war. Die Bestimmung der Spezies erfolgte durch Vervielfältigung eines Abschnitts des 16S rRNA Gens durch Polymerase- Kettenreaktion (PCR), anschließender Sequenzanalyse der PCR-Produkte und Vergleich der DNA Sequenzen untereinander und mit Dateneintragungen in GenBank. Die DNA-Sequenzen der ermittelten Abschnitte der 16S rRNA der Proben unterschieden sich erheblich voneinander und erlaubten eine eindeutige Zuordnung zu jeweils einer Spezies.

Tradição e Inovação: uma análise da popularidade das fanfictions de Harry Potter

O objetivo do presente estudo é analisar o processo de criação e manutenção de fanfics escritas em língua portuguesa da saga Harry Potter e identificar razões pelas quais os usuários leitores e colaboradores optam, ou preferem, certas fics em detrimento de outras. O trabalho agrega, em seu corpo, um apanhado sobre a saga, desde sua autora, passando por seus personagens e enredo, até uma contextualização da relação de sucesso dessas Obras com a prática de publicações e manutenções de fanfictions, sendo abordados e registrados aspectos relevantes sobre essa atividade. São trazidos à tona os principais entendimentos teóricos relacionados ao universo das fics, tais como a preservação do tradicional sobre o novo (seguir o cânone), assim como à presença de alguns padrões comunicacionais e textuais (periodicidade e qualidade no texto), como fatores de relevância para a popularidade de uma história. Finalmente, são analisados dados de questionários encaminhados à parte mais significativa da amostra escolhida, com o objetivo de investigar quais fatores são preponderantes para que uma fanfiction se torne popular, uma vez que esta atividade está inserida num espaço tecnológico, no qual a inovação é força motriz

Community-based marine protected areas in the Bohol (Mindanao) Sea, Philippines

This paper discusses the status, direction and management issues in the marine protected areas (MPAs) of the Bohol (Mindanao) Sea, Philippines. The MPAs in the study area have increased through the years. Many of them were established and managed by the local government units (LGUs) in collaboration with national government agencies (NGAs), academic institutions, people’s and non-governmental organizations (NGOs). Several management issues and problems were cited by the MPA managers such as insuffi cient funds and facilities, lack of support from NGAs/NGOs and lack of education among the people. Nevertheless, lessons for sustainability can be learned from the experience of some wellmanaged MPAs in the Bohol Sea. These include strong support from the political leadership, community participation and networking among the concerned sectors. Although the best practices are being followed in a number of MPAs in the Bohol Sea, success is still fragmented. The MPAs are currently managed independently although there are ongoing initiatives to network their efforts. However, it can be observed that, as a management tool, MPAs are gaining popularity and support, not only among the fisherfolk but also among local communities and LGUs in the Bohol Sea area.