Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing occupational boundaries to improve innovation outcomes in industry-research organisations

Abstract Commercialisation activities combining the discoveries of one occupational group, such as scientists, with the commercial skills of managers involve interactions across occupational and organisational cultures. This article explores the challenges posed by working across occupational and organisational boundaries, and describes management techniques developed informally in four Australian organisations to address barriers to knowledge transfer. It identifies the existence of Knowledge-stewarding Communities of Practice (CoP) that span organisational boundaries and impact commercialisation outcomes. It also presents recommendations for management practice based upon diversity management and innovation theories. The context of the study is Australian hybrid industry-research organisations composed of academic, government and industry personnel. Semi-structured interviews with a total of twenty scientists, engineers and managers focused on their experiences of knowledge sharing across organisational and occupational cultures, and methods used to manage these boundaries. The existence and efficacy of boundary-crossing individuals and boundary object strategies are explored. A generic process management model of innovation is extended to acknowledge and accommodate occupational and organisational cultural proclivities towards exploration or exploitation, and to stimulate future research.
Mycobacterial cultures Mycobacterium species and other related organisms were grown in 50 mL of 7 H 9 broth supplemented with

Sensitive real-time sequence detection methods based on two different chemistries were developed for Mycobacterium avium subsp. paratuberculosis (MAP). One is based on the detection of SYBR Green bound to PCR products and the second method is more specific, detecting the cleavage of a fluorogenic (TaqMan) probe bound to a target sequence during primer extension phase. Novel primers and probes that amplify small fragments (<80 bp) of the MAP specific insertion sequence, IS900 were designed. Both the SYBR green and TaqMan assays are sensitive, able to detect 3 to 4 fg of DNA extracted from MAP strain ATCC19698. This amount of DNA corresponds to the detection of 0.6 to 0.8 cells per assay. MAP cells were quantified directly from 7H9 broth using the SYBR Green assay and compared to dilutions of DNA extracted from an equivalent number of cells. The SYBR Green assay of 7H9 broth resulted in a minimum detectable limit of 0.07 cells (equivalent to 0.33 fg of DNA). Media ingredients were not observed to interfere with the assay. Since no extraction step was necessary in the direct cell measurements, direct detection was ten fold more sensitive than detection of extracted DNA. Both SYBR Green and TaqMan assays are highly specific for the detection of MAP. They did not detect any closely related members of the avium complex, other species of mycobacteria, or related genera that are likely to be present in environmental samples. No reporter signal was detected during TaqMan assays performed with 100 pg of template DNA from the non-MAP organisms. As extractions are not required, direct cell assays can be easily adopted for environmental monitoring either with or with out pre-enrichments. Sensitive detection might alleviate some of the problems related to PCR inhibitors by direct-dilution and yet detect low levels of MAP from environmental samples.
Comparison of Sound Attributes of Multichannel and Mixed-Down Stereo Recordings

The work presents a comparison of some sound attributes perceived at a multichannel and stereo playback of musical recordings. The width of the virtual source, coherence impression, total size of sound scene, general quality and balance were the subjects of interest after the format reduction in accordance with the ITU recommendation. The results showed that evaluation of these attributes depends on the way the original audiosphere has been created in the surround system, for example, for a narrow virtual source the mix-down process causes only a small change in its size but for a broad source the observed degradation is significant. In addition, different ways of conversion from the multichannel to stereo format have been tested for compatibility.
Impact of an Acute Sublethal Exposure of Endosulfan on Early Juvenile Lobster (Homarus americanus)

Anthropogenic chemicals in the environment during critical periods could potentially affect the physiology of the economically valuable American lobster ( Homarus americanus ). Endosulfan (Thiodan™ WP) is a broad-spectrum organochlorine insecticide widely used in agricultural areas in Canada that significantly affects survival and growth of lobster larvae based on acute exposure studies. To detect more subtle physiological effects of an acute (96-h) sub-lethal level (0.1 μg·L -1 ) of formulated endosulfan exposure on early juvenile lobsters, investigations of metabolic rates, growth and the tissue structure of the hepatopancreas were conducted on animals that molted following the exposure. The standard and active metabolic rates were not significantly affected, but their differential, defined as the metabolic scope (MS) was significantly decreased by 25% for exposed animals. Lobster growth and survival were not affected. For the exposed lobsters, minor alterations of the digestive cell structures were observed. These results suggest that the decrease in MS for exposed juvenile lobsters could have consequences in terms of survival in the wild by impairing their abilities to find a shelter, food or protect themselves from predators. The growth and survival in laboratory conditions suggests that lobsters may adjust their metabolism to pesticide exposure by maintaining a positive energy balance with some compensatory mechanisms; however, this may not be possible in their natural environment. This study suggests that conclusions based solely on lethal toxicity assays could be misleading for sublethal effects of contaminants on marine organisms, which could be investigated more thoroughly using an integrated approach based on physiological indicators.
Effect of Alcohol on Diesel Engine Combustion Operating with Biodiesel-Diesel Blend at Idling Conditions

Biodiesel is a promising alternative fuel to run the automotive engine. However, its blends have not been properly investigated during idling as it is the main problem to run the vehicles in a big city. The purpose of this study is to evaluate the impact of alcohol additives such as butanol and ethanol on combustion parameters under idling conditions when a single cylinder diesel engine operates with diesel, diesel-biodiesel blends, and diesel biodiesel-alcohol blends. The engine combustion parameters such as peak pressure, heat release rate and ignition delay were computed. This investigation has revealed that alcohol blends with diesel and biodiesel, BU20 blend yield higher maximum peak cylinder pressure than diesel. B5 blend was found with the lowest energy release among all. B20 was slightly lower than diesel. BU20 blend was seen with the highest peak energy release where E20 blend was found advance than diesel. Among all, the blends alcohol component revealed shorter ignition delay. B5 and B20 blends were influenced by biodiesel interference and the burning fraction were found slightly slower than conventional diesel where BU20 and E20 blends was found slightly faster than diesel So, based on the result, it can be said that among the alcohol blends butanol and ethanol can be promising alternative at idling conditions and can be used without any engine modifications.
Multi-linear algebra based techniques for foreground and background separation

OF THE THESIS Multilinear Algebra Based Techniques for Foreground and Background Separation by Neha Tadimeti Thesis Director: Dr. Waheed U. Bajwa The work presented in this thesis aims to understand the use of tensor algebra for background and foreground separation in videos. Specifically, it tries to explore the advantages of tensor-based approaches over the vector-based ones. In vector-based approaches, video frames are vectorized and concatenated into columns of a matrix for foreground and background separation. Through vectorization, one cannot explore the multi-dimensional aspect of video frames. Recent research has shown that tensor algebra can be helpful in extracting useful information from a multi-dimensional perspective. In this thesis, we propose two new algorithms which use tensor algebra to solve for background and foreground separation. In the first part of the thesis, we develop a mini-batch extension to Online Tensor Robust Principal Component Analysis (OTRPCA). The proposed extension significantly reduces the computational time in comparison to OTRPCA. It is also shown that the accuracy levels of background separation are higher than OTRPCA for a decent mini-batch size. As the mini-batch size further increases, accuracy levels fall as the dictionary update is one-shot and non-iterative. In the second part of the thesis, online vector-based Grassmanian Robust Adaptive
Two-Probe Excited Circular Ring Antenna for MIMO Application

This paper presents the analysis and design of a two-probe excited circular ring antenna. The analysis is conducted by using induced emf method and transmission line model. The design process is to choose a suitable radius of the ring for a single probe antenna. Then, the suitable probe length and ring length are determined for the two- probe antenna. Finally, isolation between the two probes is enhanced by insertion of an inductor coil between the probes. The operational characteristics of the prototype antenna at the frequency of 5.2GHz are measured and compared with calculation results. It is evident that these results are in good agreement. The antenna achieved isolation in excess of 20dB and VSWR less than 2 : 1 over the desired bandwidth and a bidirectional radiation pattern with 4dBi gain. This antenna is suitable for Multiple-Input Multiple-Output (MIMO) system covering a long and narrow environment.
Using Reinforcement Learning for Dialogue Act Classification in Task-oriented Conversation Systems

With rapid development and comprehensive application of artificial intelligence (AI), dialogue system, question-answering system and chatting robot go into people's daily lives. Therefore, DA classification plays an important role because it helps the system handle different types of user motivations. For this reason, most of dialogue systems, especially task-oriented dialogue systems, create a DA classification module in order to make the whole framework more vivid and simpler to develop and usually it does determine the overall quality of the output result. Previous work on DA classification focused on how to improve the performance of neural network models or deep learning models by modifying or mixing the model framework, most commonly the inner layers. However, little attention was paid on investigating the effect of reinforcement learning (RL) on DA classification. We simply use convolutional neural networks (CNN) as our baseline system and conduct our training progress using reinforcement learning. Compared to traditional methods and machine learning methods, our method firstly exploits reinforcement learning for DA classification and we conduct certain experiments to demonstrate the significant improvement of classification results in task-oriented dialogue systems. We create two Chinese-language industrial datasets by collecting data from task-oriented conversation systems in restaurant-ordering and cooking assistant and set up live study experiments to prove that our method not only improves the performance of DA classification, but also makes the overall quality of dialogue system better. Xia Qingyang, Tsinghua University, Chengfu Street, Haidian District, Beijing 100084, China
Experimental evidence for the Berg hypothesis: vegetative traits are more sensitive than pollination traits to environmental variation

1. In plants with specialized pollination, functionally important floral traits are expected to be under strong selection for accuracy. This may, however, conflict with a general tendency for size-related traits to covary. Previous studies have addressed this fundamental conflict by analysing natural variation across samples of structures, but here we compare the effects of experimentally induced environmental differences on variation in serially homologous pollination and vegetative traits. 2. We examined the effects of experimental variation in nutrient availability and total daily irradiance on two pairs of serially homologous traits in two populations of Dalechampia scandens: (i) The length of the floral bract blade and the length of the leaf blade, and (ii) the length of stipules associated with bracts and leaves. The first pair contrasts a floral trait that is likely to experience canalizing selection (bract blade) with a homologous vegetative trait that does not experience canalizing selection (leaf blade). The second contrasts homologous floral and vegetative traits that are likely to experience similar selective pressures. We also examined variational properties of two blossom traits that interact directly with pollinators: the area of the resin gland and the length of the styles. 3. Variation in the bract blades was decoupled from variation in the vegetative traits and followed the variational patterns of the two blossom traits that are functional in pollination. Stipules associated with bracts and leaves were affected similarly by the experimental treatments in a pattern characteristic of vegetative traits. 4. These results are consistent with the Berg hypothesis of decoupling and canalization of specialized floral structures and support the idea that the variability can evolve in response to selection on variation.
Interactive comment on “Characterization of non-methane hydrocarbons in Asian summer monsoon outflow observed by the CARIBIC aircraft” by A. K. Baker et al

We would like to express our gratitude to the referees for taking the time to review our manuscript and for providing us with detailed and constructive comments, which greatly help us in improving the manuscript. In light of the similarity of many of the comments we have opted to reply to all reviewers in a single document. Below we have given our responses to the referee comments; replies immediately follow the corresponding referee comments.
Characteristics of cerebral venous thrombosis in a South Indian Rural Hospital

Introduction: Purpose of this study was to evaluate the clinical profile of the patients with cerebral venous thrombosis and to assess the risk factors involved. Methods: This study was a retrospective study performed at Sri Ramachandra Medical Centre, Porur, Chennai and a total of 25 patients were reviewed. Clinical features, mode of onset, predisposing factors and CT/MRI findings were noted. All patients who were diagnosed to be having cerebral venous thrombosis were included in this study. Results: Mean age was 35.7 years (range, 15 to 70 years) with a male to female ratio of 13:12. Headache (84%) and convulsions (47%) were the most common clinical features. 44% of the patients had altered sensorium and 9.1% were comatose at the time of presentation. Focal neurological deficits were observed in 60% of the patients and hemiparesis was the common deficit, seen in 28% of the cases. Subacute presentation (52%) was the most common mode of onset followed by acute presentation (40%). Predisposing factors were identified in 72% of patients. Infection was identified as a risk factor in 28% cases. CT scans showed hemorrhagic infarcts in 32% of the patients. Superior sagittal sinus was the most frequent sinus involved, 68% had partial or complete occlusion of the superior sagittal sinus. There was no mortality in the present series.Conclusion:This study reports that cerebral venous thrombosis in developing countries particularly in rural area are no different from developed countries needs to follow similar prevention and management .
The IT Strategic Alignment Process: A Dynamic Capabilities Conceptualization Research-in-Progress

Given the focus on the "what" rather than the "how" of the strategic alignment of IT, a disparity has arisen between the results of empirical research and the results expected by practitioners. The need for a renewed look at alignment has thus been expressed. In this regard, we propose a conceptualization in the form of a process model. Based on the dynamic capabilities, and on the alignment perspectives found in Henderson and Venkatraman’s seminal model, IT strategic alignment is modeled as a process of reconfiguration of the firm’s IT and organizational resources, competencies and capabilities. As many questions are left unanswered with regard to this process and the factors that contribute to its effectuation, the proposed model is meant to serve as a conceptual framework for further study. In taking a new look at IT strategic alignment the aim is to provide an alternative for investigating and managing this process.
On the definition of energy for a continuum, its conservation laws, and the energy-momentum tensor

We review the energy concept in the case of a continuum or a system of fields. First, we analyze the emergence of a true local conservation equation for the energy of a continuous medium, taking the example of an isentropic continuum in Newtonian gravity. Next, we consider a continuum or a system of fields in special relativity: we recall that the conservation of the energy-momentum tensor contains two local conservation equations of the same kind as before. We show that both of these equations depend on the reference frame, and that, however, they can be given a rigorous meaning. Then we review the definitions of the canonical and Hilbert energy-momentum tensors from a Lagrangian through the principle of stationary action in a general spacetime. Using relatively elementary mathematics, we prove precise results regarding the definition of the Hilbert tensor field, its uniqueness, and its tensoriality. We recall the meaning of its covariant conservation equation. We end with a proof of uniqueness of the energy density and flux, when both depend polynomially of the fields.
Accounting for Residual Correlations among Regional Genomic Predictions via GMACE

Despite encouraging preliminary results with GMACE, further research has identified some important problems. Errors can be expected in the arbitrary input parameters needed to approximate residual correlations, and GMACE results are quite sensitive to these errors. Restricting bulls to a single GEBV in S-GMACE addresses this concern by eliminating the need for within-sire residual correlations. However, fitting only within-sire residual correlations may be inadequate due to the accumulation of information among relatives via the relationship matrix. It is recommended to further restrict S-GMACE, by preventing the accumulation of genomic information among relatives, to expedite an international genomic evaluation service for young genomically-tested animals. Research should also continue to develop and test less-restricted and/or full-scale GMACE applications
“New” lunar meteorites: Implications for composition of the global lunar surface, lunar crust, and the bulk Moon

Abstract— New data for lunar meteorites and a synthesis of literature data have significant implications for the interpretation of global Th data and for the Moon's bulk composition. As presently calibrated (Prettyman et al. 2002), the Lunar Prospector gamma‐ray data imply that the average global surface Th = 1.58 μg/g. However, that calibration yields implausibly high concentrations for the three most Th‐poor documented sampling sites, it extrapolates to a nonzero Lunar Prospector Th, ˜0.7 μg/g, at zero sample Th, and it results in a misfit toward too‐high Th when compared with the global regolith Th spectrum as constrained using mainly lunaite regolith breccias. Another problem is manifested by Th versus K systematics. Ground truth data plot consistently to the high‐Th/K side of the Prospector data trend, offset by a factor of 1.2. A new calibration is proposed that represents a compromise between the Th levels indicated by ground truth constraints and the Prettyman et al. (2002) calibration. Conservatively assuming that the Th versus K issue is mostly a K problem, the average global surface Th is estimated to be ˜1.35 μg/g. The Moon's remarkable global asymmetry in KREEP abundance is even more pronounced than previously supposed. The surface Th concentration ratio between the hemisphere antipodal to the Procellarum basin and the hemisphere centered on Procellarum is reduced to 0.24 in the new calibration. This extreme disparity is most simply interpreted as a consequence of Procellarum's origin at a time when the Moon still contained at least a thin residual layer of a global magma ocean. Allowing for diminution of Th with depth, the extrapolated bulk crustal Th is ˜0.73 μg/g. Further extrapolation to bulk Moon Th yields ˜0.07 μg/g, which is nearly identical to the consensus estimate for Earth's primitive mantle. Assuming chondritic proportionality among refractory lithophile elements implies Al2O3 of approximately 3.8 wt%. The Moon's bulk mantle mg ratio is only weakly constrained by seismic and mare‐basaltic data. KREEP‐and mare‐free lunaite regolith samples, other thoroughly polymict lunar meteorites, and a few KREEP‐free Apollo highland samples manifest a remarkable anticorrelation on a plot of Al2O3 versus mg. This trend implies that an important component of the Moon is highly magnesian. The bulk Moon is inferred to have an Earth‐like oxide mg ratio of ˜87–88 mol%. The close resemblance between the bulk Moon and Earth's primitive mantle extends to moderately volatile elements, most clearly Mn. Unless major proportions of Cr and V are sequestered into deep mantle spinel, remarkably Earth‐like depletions (versus chondrites) are also inferred for bulk Moon Cr and V.