Links in the Knowledge Journey of an Idea to Innovation: A Study in the Context of Development of Customized Cartons

This paper identifies and analyses the links in the knowledge journey of an idea to innovation. It tracks the links in the development of customized cartons for packaging tomatoes. The trigger points for the innovation, the milestones crossed by the innovator, the interaction with agencies and actors in the environment, the interests and responses of the agencies and the actors, and the final outcomes were identified. Based on analysis, it conceptualises a model of knowledge journey and develops suggestions for innovators and innovation associates. The suggestions are in the areas of responding to innovation triggering points, learning and leveraging on what is possible and happening, adapting to the constraints of the innovation associates and building flexible systems and structures.

Torque: topology-free querying of protein interaction networks

Torque is a tool for cross-species querying of protein–protein interaction networks. It aims to answer the following question: given a set of proteins constituting a known complex or a pathway in one species, can a similar complex or pathway be found in the protein network of another species? To this end, Torque seeks a matching set of proteins that are sequence similar to the query proteins and span a connected region of the target network, while allowing for both insertions and deletions. Unlike existing approaches, Torque does not require knowledge of the interconnections among the query proteins. It can handle large queries of up to 25 proteins. The Torque web server is freely available for use at http://www.cs.tau.ac.il/∼bnet/torque.html

Effect of vermicompost on manifestation of pesticide action on growth of Zinnia elegans

In order to asses the implication of endosulfan in the soil amended with vermicompost, Zinnia elegans (Family Asteraceae) was grown, under strict laboratory conditions. Seed germination, size of internode, total length of the plant, leaf area of the plant, tufts of rootlets, which emerged, were measured and recorded. Vermicompost at a concentration of 12.5% was used as source of amendment; treatment was made with endosulfan the concentration of which ranged from 2.5, 5 and 7.5% respectively. From the data obtained after 4 days of treatment, it appeared that the addition of endosulfan in plain soil (7.5%), affects germination to negative value. Reduced germination and plant growth even during prolonged treatment (up to 9 days) was noticed during treatment with 2.5 and 5% of endosulfan. In a soil amended with vermicompost, however, germination to total length of the plant was found to increase quite considerably. This trend has continued, even during extended period of treatment. The entire texture of the plant was found to change to a healthier look in the presence of vermicompost. Better growth of the plant, larger number of rootlets, and bigger leaf area, can be suggested to be additive role of vermicompost on growth and development of Zinnia elegans. This also indicated possible involvement of the plant in remediation of pesticide endosulfan. On this account, Z. elegans like related members of this family can be considered as a candidate involved in remediation of pesticides from polluted soilKey word: Vermicompost, endosulfan, Zinnia elegans

Comparative study between interlock nailing and dynamic compression plating in humerus diaphyseal fractures in its functional and surgical outcome

Background: The aim of the study was to analyse compare study between interlock nailing and dynamic compression plating in humerus diaphyseal fractures in its functional and surgical outcome. Methods: The 2019 to 2022, patients were randomly divided into two groups with the help of computer-generated coded envelopes, group A (humerus diaphyseal fractures treated with dynamic compression plating) and group B (humerus diaphyseal fractures treated with interlock nailing) with 20 patients in each group. Outcomes were evaluated based on operative time, blood loss, neurovascular deficit, surgical site infection, union, shoulder stiffness, constant Murley score, Mayo elbow performance index at 1 year of follow up. Results: On radiology as non-union and union, most common study participants show union, on follow up of 1 year constant Murley score and Mayo elbow performance index was calculated and constant Murley score was more in patients treated with dynamic compression plating, shoulder stiffness was more in patients treated with interlock nailing. However blood loss was more in patients treated with dynamic compression plating. Conclusions: The result of our study shows that interlock nailing is associated with less blood loss but it is associated with decreased shoulder function postoperatively and marked shoulder stiffness which is more than patients treated with dynamic compression plating. Hence dynamic compression plating should be considered gold standard for operative treatment of humerus shaft fracture

Pseudo-forces in quantum mechanics

Dynamical evolution is described as a parallel section on an infinite dimensional Hilbert bundle over the base manifold of all frames of reference. The parallel section is defined by an operator-valued connection whose components are the generators of the relativity group acting on the base manifold. In the case of Galilean transformations we show that the property that the curvature for the fundamental connection must be zero is just the Heisenberg equations of motion and the canonical commutation relation in geometric language. We then consider linear and circular accelerating frames and show that pseudo-forces must appear naturally in the Hamiltonian.Comment: 6 pages, 1 figure, revtex, new section added, to appear in PR

A 4D Light-Field Dataset and CNN Architectures for Material Recognition

We introduce a new light-field dataset of materials, and take advantage of the recent success of deep learning to perform material recognition on the 4D light-field. Our dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in total. To the best of our knowledge, this is the first mid-size dataset for light-field images. Our main goal is to investigate whether the additional information in a light-field (such as multiple sub-aperture views and view-dependent reflectance effects) can aid material recognition. Since recognition networks have not been trained on 4D images before, we propose and compare several novel CNN architectures to train on light-field images. In our experiments, the best performing CNN architecture achieves a 7% boost compared with 2D image classification (70% to 77%). These results constitute important baselines that can spur further research in the use of CNNs for light-field applications. Upon publication, our dataset also enables other novel applications of light-fields, including object detection, image segmentation and view interpolation.Comment: European Conference on Computer Vision (ECCV) 201

A machine learning pipeline for discriminant pathways identification

Motivation: Identifying the molecular pathways more prone to disruption during a pathological process is a key task in network medicine and, more in general, in systems biology. Results: In this work we propose a pipeline that couples a machine learning solution for molecular profiling with a recent network comparison method. The pipeline can identify changes occurring between specific sub-modules of networks built in a case-control biomarker study, discriminating key groups of genes whose interactions are modified by an underlying condition. The proposal is independent from the classification algorithm used. Three applications on genomewide data are presented regarding children susceptibility to air pollution and two neurodegenerative diseases: Parkinson's and Alzheimer's. Availability: Details about the software used for the experiments discussed in this paper are provided in the Appendix

‘That’s My Stuff’: Pasifika Literature and Pasifika Identity

Pasifika literature is an expanding, dynamic field which, like other Pasifika creative productions, is often seen as representative of exciting new directions, and reflective of a nascent generation of young Pasifika who are firmly established in New Zealand. This thesis considers the relationship between Pasifika literature and Pasifika identity, tracing some ways that Pasifika literature articulates, references, and mediates Pasifika identity through the creative work of two prominent New Zealand-born Pacific scholar-poets: Karlo Mila (Tongan, Palangi, Samoan) and Selina Tusitala Marsh (Samoan, Tuvaluan, French, English). Both these women are highly acclaimed, award winning poets and academics who are well respected in their respective Pacific communities. Reading their creative works firstly as examples of a mixed-race Pasifika literature and then as Pasifika feminist texts offers compelling insights into their worlds as young ‘brown’ women in New Zealand. Their work makes a significant contribution to Pacific literature and New Zealand literature, and offers many points of entry for exploring what it might mean to be a Pasifika person in Aotearoa today. This work is furthered in a final chapter, which gestures towards a new generation of Pasifika writers. By referencing some of the new writing being produced by young Pasifika, in particular the work of Grace Taylor and Courtney Sina Meredith, I illustrate how Mila and Marsh’s writing has opened up necessary creative spaces for Pasifika voices to be heard and their senses of identity to be affirmed. Ultimately, the connections between Pasifika literature and Pasifika identities that have been explored in this thesis continue to be strengthened and developed by a new generation of young Pasifika writers, who continue to affirm identities that are fluid, open, and progressive

Electrophysiological Signatures of Spatial Boundaries in the Human Subiculum.

Environmental boundaries play a crucial role in spatial navigation and memory across a wide range of distantly related species. In rodents, boundary representations have been identified at the single-cell level in the subiculum and entorhinal cortex of the hippocampal formation. Although studies of hippocampal function and spatial behavior suggest that similar representations might exist in humans, boundary-related neural activity has not been identified electrophysiologically in humans until now. To address this gap in the literature, we analyzed intracranial recordings from the hippocampal formation of surgical epilepsy patients (of both sexes) while they performed a virtual spatial navigation task and compared the power in three frequency bands (1-4, 4-10, and 30-90 Hz) for target locations near and far from the environmental boundaries. Our results suggest that encoding locations near boundaries elicited stronger theta oscillations than for target locations near the center of the environment and that this difference cannot be explained by variables such as trial length, speed, movement, or performance. These findings provide direct evidence of boundary-dependent neural activity localized in humans to the subiculum, the homolog of the hippocampal subregion in which most boundary cells are found in rodents, and indicate that this system can represent attended locations that rather than the position of one\u27s own body

IsoBase: a database of functionally related proteins across PPI networks

We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorhabditis elegans, Mus musculus and Homo Sapiens. Nearly all existing algorithms for orthology detection are based on sequence comparison. Although these have been successful in orthology prediction to some extent, we seek to go beyond these methods by the integration of sequence data and protein–protein interaction (PPI) networks to help in identifying true functionally related proteins. With that motivation, we introduce IsoBase, the first publicly available ortholog database that focuses on functionally related proteins. The groupings were computed using the IsoRankN algorithm that uses spectral methods to combine sequence and PPI data and produce clusters of functionally related proteins. These clusters compare favorably with those from existing approaches: proteins within an IsoBase cluster are more likely to share similar Gene Ontology (GO) annotation. A total of 48 120 proteins were clustered into 12 693 functionally related groups. The IsoBase database may be browsed for functionally related proteins across two or more species and may also be queried by accession numbers, species-specific identifiers, gene name or keyword. The database is freely available for download at http://isobase.csail.mit.edu/.National Institute of General Medical Sciences (U.S.) (Grant Number 1R01GM081871)Fannie and John Hertz FoundationNational Science Foundation (U.S.) (NSF MSPRF)National Science Council of Taiwan (NSC99-2218-E-007-010)National Institutes of Health (U.S.) (1R01GM081871