Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural complexity, movement bias, and metapopulation extinction risk in dendritic ecological networks

Abstract Spatial complexity in metacommunities can be separated into 3 main components: size (i.e., number of habitat patches), spatial arrangement of habitat patches (network topology), and diversity of habitat patch types. Much attention has been paid to lattice-type networks, such as patch-based metapopulations, but interest in understanding ecological networks of alternative geometries is building. Dendritic ecological networks (DENs) include some increasingly threatened ecological systems, such as caves and streams. The restrictive architecture of dendritic ecological networks might have overriding implications for species persistence. I used a modeling approach to investigate how number and spatial arrangement of habitat patches influence metapopulation extinction risk in 2 DENs of different size and topology. Metapopulation persistence was higher in larger networks, but this relationship was mediated by network topology and the dispersal pathways used to navigate the network. Larger networks, especially those with greater topological complexity, generally had lower extinction risk than smaller and less-complex networks, but dispersal bias and magnitude affected the shape of this relationship. Applying these general results to real systems will require empirical data on the movement behavior of organisms and will improve our understanding of the implications of network complexity on population and community patterns and processes.
A Response: Functional Feeding Groups as a Taxonomic Surrogate for a Grassland Arthropod Assemblage

orders, such as adult Odonata, Neuroptera and Orthoptera, and superfamilies, such as parasitoid Ichneumonoidea and the piercing/sucking Pentatomoidea, share broad feeding styles. Based on our experience, we believe that on average it is simpler to assign FFG than other taxonomic levels. Mlambo’s assertion that Kaiser et al. (2009) provide empirical evidence against the use of FFG is unfounded: their study also
Sensorimotor Entrainment of the Respiratory and Orofacial Systems in Humans.

The objective of the current report is to evaluate experimental findings on modal and crossmodal sensorimotor entrainment of neural systems involved in centrally patterned motor behavior in a variety of animal and human models, including data collected in our own laboratories. Special emphasis is directed towards vocal tract muscle systems, including the chest wall and orofacial complex during patterned motor output. Several experiments have demonstrated that central pattern generators, including orofacial systems, can be modified through endogenous and external loads to produce entrainment. This feature of sensorimotor control in the human vocal tract provides adaptive and predictive mechanisms vital to both developing and mature control systems.
Context-aware approach for temperature monitoring and fire alarming

In this paper,a temperature monitoring and fire alarming system that made use of semantic network technologies was presented.The system was implemented with a context-aware computing framework that built upon an OSGi gateway.Environment temperature info was collected from 1-wire sensor networks and was stored and processed as a part of smart-home context.Customer rule based context reasoning can be done by the framework,and alarming services would be scheduled when it detected dangerous high temperature.
Ipsenol and Ipsdienol Attract Monochamus titillator (Coleoptera: Cerambycidae) and Associated Large Pine Woodborers in Southeastern United States

Abstract We determined the responses of the southern pine sawyer, Monochamus titillator (F.) (Coleoptera: Cerambycidae), to the pheromones (ipsenol, ipsdienol, and lanierone) used by pine engraver beetles (Coleoptera: Scolytidae) in the southeastern United States. (±)-Ipsenol, (±)-ipsdienol, or a combination increased catches of M. titillator in Florida, Louisiana, Georgia, and North Carolina. Catches of Acanthocinus obsoletus (Olivier) (Cerambycidae) were increased by (±)-ipsenol and (±)-ipsdienol in Florida and North Carolina, whereas only (±)-ipsenol was attractive in Georgia. (±)-Ipsenol and (±)-ipsdienol were attractive to Pachylobius picivorus (Germar) (Coleoptera: Curculionidae) in Florida, whereas only (±)-ipsdienol was active in Louisiana. In Florida, catches of M. titillator, A. obsoletus, and P. picivorus were greatest in traps baited with both (±)-ipsenol and (±)-ipsdienol. In Louisiana, catches of the woodborer Chalcophora virginiensis (Drury) (Buprestidae) were increased by (±)-ipsenol. Lanierone did not affect trap catches of the aforementioned species. The combination of (±)-ipsenol and (±)-ipsdienol may be a cost-effective lure for these four species because we found no evidence of interruption in attraction to baited traps, and the cost of the lure combination is relatively low.
Multiple priority, per flow, dual GCRA rate controller for ATM switches

We propose a rate controller for ATM switches. The rate controller supports multiple priorities, and dual leaky bucket (GCRA) traffic descriptors (such as VBR). While regulating each stream independently, our rate controller requires relatively modest computation bandwidth so that it can be implemented without any additional special-purpose hardware. It also enjoys the important advantage of being decoupled from the link schedulers. We study what is the best way to allocate resources to rate controllers along the path of connection, and demonstrate the effectiveness of aggressive shaping at the network ingress.
A Comparative Analysis of Object Recognition System Using SIFT, SURF and FAST Algorithms

Object recognition has always been an area of interest for various researchers since decades. In this paper an attempt has been made to give a comparison between various techniques of object recognition mainly feature based approaches. In this paper an overview of the Famous and impressive technique by David Lowe, which is Scale Invariant Feature Transform (SIFT) has been given. Another very important technique called Speeded-Up Robust Feature Transform (SURF) has been used to conclude with certain interesting results. FAST is the third technique which has also been discussed in this paper. SIFT, SURF and FAST algorithms has been implemented on COIL dataset and a comparative analysis of these techniques has been given. The algorithms has been evaluated on two parameters i.e., number of features extracted and the time of execution. It has been seen that SIFT has detected more number of features as compared to SIFT and FAST. But the times of execution taken by SURF is comparatively less than SIFT and SURF.
Common and Chemical Names of Herbicides Approved by the Weed Science Society of America

Below is the complete list of all common and chemical names of herbicides approved by the Weed Science Society of America (WSSA) and updated as of September 1, 2010. Beginning in 1996, it has been published yearly in the last issue of Weed Science with Directions for Contributors to Weed Science. This list is published in lieu of the selections printed previously on the back cover of Weed Science. Only common and chemical names included in this complete list should be used in WSSA publications. In the absence of a WSSA-approved common name, the industry code number as compiled by the Chemical Abstracts Service (CAS) with CAS systematic chemical name or the systematic chemical name alone may be used. The current approved list is also available at our web site (www.wssa.net). A complete list of common and chemical herbicide names, as well as synonyms, old chemical names, and approval information was published in 1995 in Weed Science 43:328–336. The Terminology Committee approves WSSA common names. The Terminology Committee accepts common names of herbicides as approved by the International Organization for Standardization (ISO). A sponsor may submit a proposal for a common name directly to the WSSA Terminology Committee. A herbicide common name is not synonymous with a commercial formulation of the same herbicide, and in many instances, is not synonymous with the active ingredient of a commercial formulation as identified on the product label. If the herbicide is a salt or simple ester of a parent compound, the WSSA common name applies to the parent compound only. The chemical name used in this list is that preferred by the Chemical Abstracts Service (CAS) according to their system of nomenclature in effect since 1972, the period beginning with the ninth collective index. Acknowledgments. Submitted by the Terminology Committee. Committee members are C. V. Ransom (Chair), T. Grey, E. Johnson, R. J. Keese, D. E. Riechers, S. A. Senseman, T. W. Miller (ex-off), and F. Tardif (ex-off).
Obstacle detection using a monocular camera

ACKNOWLEDGEMENTS I thank my research advisor, Dr. P.A. Vela for his guidance, support, and instilling in me the belief that careful modeling and persistence is key. I thank Dr. Collins for many useful comments during the writing process. I would also like to thank William Mantzel for many useful conversations regarding computer vision, and his friendship. I am grateful to my lab mates, Omar and Ibrahima, for their advice and many interesting conversations and group-meetings. Finally, I thank my parents for their unwaivering support and encouragement.
Graphicacy And Its Role In Elementary Science And Technological Problem Solving Investigations: Implications For Teacher Professional Development

This paper reports on a study designed to provide professional development to elementary teachers on the use of graphically enhanced notebooks. Semiotic theory, along with classroom observations, and student and teacher interviews is being used to analyze student reasoning with graphics. Thus, providing a framework to categorize graphic types, informing the analysis of how students are thinking with graphics during their investigation. Our analyses revealed that the pedagogical power of student- generated graphics is not being harnessed at all stages of the inquiry/problem-solving cycle. We encourage the use of student-generated graphics as a cognitive tool for investigation, explanation and reflection.
European Corn Borer (Lepidoptera: Crambidae) Effects on Qualitative Traits of High Oil Content Corn Grown in Kentucky

Abstract The European corn borer, Ostrinia nubilalis (Hübner) (Lepidoptera: Crambidae), is one of the most important pests of corn, Zea mays L. , because it consistently causes high loss of yield. A study was conducted in 2000–2002 at field sites in central and western Kentucky to investigate whether infestation by O. nubilalis differentially affects the production of high-oil corn compared with traditional field corn. Statistical differences in grain weight and percentage of oil content between the five infestation levels were significant at both locations and for all years. Average grain yield was reduced by 0.40% and average oil concentration by 0.011% for each 1% of damaged plants, and there was a strong correlation (0.76) between leaf damage ratings (i.e., Guthrie scale) and yield reduction. In general, corn planted at the early planting date tended to have a higher yield (grain weight) and oil content.
Privacy Preservation for Publishing Medical Time Series: k-anonymization of Ngram

Healthcare providers may need to publish their operational data for consultation as well as to allow more researches. Consequently, a lot of personal specific data with high level of details are publicly available. This data may contain time series, such as ECG. Deidentification of time series is not enough to provide the requirement of privacy preservation. It is because, if a few numbers of time series are published, then appearing specific anomalies in them may reveal the sensitive information of an individual. The problem of privacy preserved time series publication is somewhat studied, but the issues of publishing the Ngrams of the time series, especially that of extracted from a small set of time series, are not considered well before. In this paper, we address this problem and define the kanonymity principle for the Ngram. The proposed schema aims to provide the k-anonymization by repeating the rare n-grams to hide them in the crowd of frequent n-grams. We evaluate our method by using two datasets. Results of experiments show that our method can provide the requested anonymity level with low probability and entropy information loss.
The Semantics of Adjective Noun Phrases in the Human Brain

As a person reads, the brain performs complex operations to create higher order semantic representations from individual words. While these steps are effortless for competent readers, we are only beginning to understand how the brain performs these actions. Here, we explore semantic composition using magnetoencephalography (MEG) recordings of people reading adjective-noun phrases presented one word at a time. We track the neural representation of semantic information over time, through different brain regions. Our results reveal several novel findings: 1) the neural representation of adjective semantics observed during adjective reading is reactivated after phrase reading, with remarkable consistency, 2) a neural representation of the adjective is also present during noun presentation, but this neural representation is the reverse of that observed during adjective presentation 3) the neural representation of adjective semantics are oscillatory and entrained to alpha band frequencies. We also introduce a new method for analyzing brain image time series called Time Generalized Averaging. Taken together, these results paint a picture of information flow in the brain as phrases are read and understood.
BINARY INDIVIDUAL RECOGNITION IN LYSMATA DEBELIUS (DECAPODA: HIPPOLYTIDAE) UNDER LABORATORY CONDITIONS

Abstract Lysmata debelius is a territorial species, characterised by forming long-term pair bonds between individuals. This species is popular in the aquarium trade, and although it has culture potential it is not yet raised on a commercial scale. These coral reef inhabitants are considered to be key species in the natural habitat, and their culture is of conservation interest. One of the main causes of death in captivity is due to a disturbance of the pair bond, which results in one individual killing the other. However, the factors that induce this behaviour are not understood. A three-chambered apparatus was constructed to test binary individual recognition. One individual from a pair and one outsider (a stranger), both in similar reproductive state and size, were placed in different chambers. The other individual of the pair was placed in the remaining space, and its behaviour continuously recorded with a video camera during 3 h. The number of visits and the total time spent in the chamber of its mate over a 30-min interval, analysed with a two-way ANOVA, were significantly higher than for the time spent in the stranger's chamber. These results suggest that Lysmata debelius is able to distinguish a partner from a stranger, and this ability appears to remain for at least 3 h after separation.
Effect of glycerol in combination with alfalfa on in vitro gas production and microbial protein synthesis

Alfonso-Ávila, Á. R. , Charbonneau, E. , Lafrenière, C. and Berthiaume, R. 2015. Effect of glycerol in combination with alfalfa on in vitro gas production and microbial protein synthesis. Can. J. Anim. Sci. 95: 577-588. This study sought to determine the effect of added glycerol on microbial protein synthesis, ruminal degradation and utilization of alfalfa at different concentrations of nonstructural carbohydrates (NSC), using in vitro gas production. The 2×3 factorial plus one treatment consisted of oven-dried alfalfa with two NSC levels [high: 17.9 (HNSC) or low: 7.4% dry matter (DM) (LNSC)] and three glycerol treatments [control without glycerol, 15% crude glycerol (CG) and 15% pure glycerol (PG)], the additional treatment was LNSC+exogenous sugars (LNSC+ES: LNSC with 5% sucrose+5% starch). Five pre-planned contrasts were evaluated from the seven treatments: (1) HNSC vs. LNSC alfalfa; (2) with glycerol vs. without; (3) interaction of alfalfa and glycerol; (4) CG vs. PG, and; (5) LNSC+ES vs. HNSC. Gas production over 24 h was higher for HNSC than LNSC (202 vs. 179 mL g-1 DM) and with glycerol than without glycerol (202.2 vs. 168 mL g-1 DM). A decrease in the acetate:propionate ratio was observed for HNSC compared with LNSC (2.87 vs. 3.27) and for the addition of glycerol vs. no glycerol (2.78 vs. 3.65). Reduced microbial mass (185.5 vs. 240.5 mg g-1 DM) was observed for CG compared with PG. The LNSC+ES treatment had lower microbial protein synthesis and propionic acid production in relation to HNSC. No significant interaction was observed between the effect of NSC content of alfalfa and glycerol utilization. When effects were studied separately, results indicate that increasing NSC in alfalfa stimulates the synthesis of microbial protein. Also, the addition of glycerol promotes the synthesis of glucose precursors. Finally, the type of glycerol has an impact on results obtained suggesting caution when extrapolating results for PG to CG.
A Survey on Wireless Network Applications in Automated Public Utilities Control and Management

Public utilities such as water, electricity and gas are essential services that play a vital role in economic and social development. Automation of public utility services addresses the huge losses faced by the utility services today, due to non-accounting of distributed utility resources. Automation improves government revenues. The different type of architectures are proposed and designed for automated metering, control and management of public utilities like water, gas, and electricity for effective management and control of resources. The various network topologies, hardware and software architectures to automation and management of public utilities are proposed by researchers. In this paper, the different technologies proposed by various researchers across the globe are surveyed and list of issues and challenges for automated meter reading and control of public utilities is identified. Keywords—Automated Meter Reading (AMR), Wireless Sensor Networks (WSN), Wireless communication, Short Message Services (SMS).
Collective intelligence and knowledge management capabilities

This article develops a conceptual model linking decision-making process with two important organizational capabilities (collective intelligence capability and knowledge management capability). The aim is to contribute to the management literature by identifying the interaction between the different dimensions and the mediating role of Information Technology. Our research question is to determine how organization can combine these capabilities and understand the role played by Information Technology. We find in the review of the literature that the interaction between the proposed capabilities creates superior values in order to enhance decision-making effectiveness. Among key theoretical implication, our conceptual model points that the generated superior value affects firm‟s effectiveness. In the practical level, managers or decision-makers who recognize this dynamic allow organizations to extend their organization growth capabilities.
Laboratory efficacy and fungicide compatibility of Clonostachys rosea against Botrytis blight on lowbush blueberry

Reeh, K. W. and Cutler, G. C. 2013. Laboratory efficacy and fungicide compatibility of Clonostachys rosea against Botrytis blight on lowbush blueberry. Can. J. Plant Sci. 93: 639-642. Lowbush blueberry (Vaccinium angustifolium) is an economically important crop. Clonostachys rosea is an endophytic fungus that can provide protection of plants from several pathogens, including Botrytis cinerea. It is unknown if C. rosea is able to colonize and protect V. angustifolium, and whether it is tolerant of fungicides commonly used for B. cinerea management in blueberry production. In a greenhouse experiment, pre-treatment of blueberry blossoms with C. rosea significantly reduced establishment of B. cinerea, but treatments after establishment of the pathogen were not effective. Clonostachys rosea demonstrated in vitro tolerance to the fungicide Switch®, but little or no tolerance to Pristine® and Maestro®. Our results are encouraging for additional field research examining the use of C. rosea as part of an integrated pest management program for B. cinerea control on lowbush blueberries.
Diminished Reality based on Kinect Fusion

While Augmented Reality allows adding virtual objects over a real scene, Diminished Reality can remove real objects from a scene. Currently existing multi-view based approaches and image completion based approaches to DR with 2D sensors. In this paper, we propose a practical approach to diminished reality for indoor environment with 3D model creation based on Kinect 3D sensors. Kinect can capture RGB information and per-pixel depth information of scenes at same time, and it can use the depth information to create 3D model. Our approach is based on the 3D model to search the region of the objects which will be removed. First we get the RGB and depth information of a scene from Kinect and get 3D model based on Kinect Fusion. After that an object is added into the scene. We compare the scene with original scene and process surface images acquired from Kinect fusion to find the accurate region of the object. At last we replace the data and diminish the object in real time. The solution uses Kinect fusion technique to create models and OpenCV for image processing. Our approach achieves a good result that we can diminish the objects clearly and restore the scene. Our approach provides real-time Diminished Reality for indoor environment. Keywords— Diminished Reality, Mediated Reality, Kinect.
Bone Histology of Fossil Tetrapods: Advancing Methods, Analysis, and Interpretation

Padian, K. , and E. -T. Lamm (eds.). 2013. Bone Histology of Fossil Tetrapods: Advancing Methods, Analysis, and Interpretation. University of California Press, Berkeley, California, 285 pp. ISBN 978-0-520-27352-8, price (hardbound), $75.00.