The Buck Stops Here: The Importance of ROI and How to Demonstrate Value in a Corporate Library Setting

With the economic downturn, libraries need to show a return on investment on each dollar they receive, especially within the collection development budget. Library\u27s collection development decisions for e-journal and e-book purchases need to be based on detailed analytics, for example, review of usage statistics reports and cost-per-use calculations. The process of gathering statistics from dozens of supplier platforms and then creating custom cost-per-use reports is manual and time consuming. Additionally, in corporate library settings, ad-hoc reporting, historical trending bears significance. At the end of 2010, the Library acquired a product to be implemented in 2011. The benefit of the new product was that it could gather stats automatically. Additionally, the Library staff did its own customization and imported historical data for creating trending reports for budget analysis and uploaded cost and usage data for e-books. The presenters will discuss the importance of libraries showing ROI and how the library creatively put together a product they needed in order to prove its value to its financial and upper-management teams. The presenters would also like to open a discussion of how other libraries are showing their return on investment. Please note: While Ms. Markovic was not able to attend the conference her analytical results were instrumental to the outcome of the study

Immobilization of proteases with a water soluble–insoluble reversible polymer for treatment of wool

A commercial protease, Esperase, was covalently linked to Eudragit S-100, a reversible soluble–insoluble polymer by carbodiimide coupling. When compared to the native enzyme, the immobilized form presented a lower specific activity towards high molecular weight substrates but a higher thermal stability at all temperatures tested. The optimum pH of the immobilized protease was shifted towards the alkaline side by about one pH unit while there was no change in optimum temperature between the free and immobilized protease. The immobilized protease exhibited a good storage stability and re-usability. Enzymatic treatment of wool using proteases has been investigated for wool shrink-resist finishing. It was found that using the immobilized protease in the enzymatic treatment of wool there was a reduction of weight and fibre tensile strength loss because the proteolytic attack is only limited to the cuticle surfaces of wool fibres. This novel approach is a promising alternative for wool shrink-resist finishing to replace the conventional chlorine treatments. This environmentally friendly bioprocess needs to be further characterized to a complete understanding and optimization

Interface-engineered hole doping in Sr2IrO4/LaNiO3 heterostructure

The relativistic Mott insulator Sr2IrO4 driven by large spin-orbit interaction is known for the Jeff = 1/2 antiferromagnetic state which closely resembles the electronic structure of parent compounds of superconducting cuprates. Here, we report the realization of hole-doped Sr2IrO4 by means of interfacial charge transfer in Sr2IrO4/LaNiO3 heterostructures. X-ray photoelectron spectroscopy on Ir 4f edge along with the X-ray absorption spectroscopy at Ni L2 edge confirmed that 5d electrons from Ir sites are transferred onto Ni sites, leading to markedly electronic reconstruction at the interface. Although the Sr2IrO4/LaNiO3 heterostructure remains non-metallic, we reveal that the transport behavior is no longer described by the Mott variable range hopping mode, but by the Efros-Shklovskii model. These findings highlight a powerful utility of interfaces to realize emerging electronic states of the Ruddlesden-Popper phases of Ir-based oxides.Comment: 9 pages including 3 figures and reference

DynPeak : An algorithm for pulse detection and frequency analysis in hormonal time series

The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical difficulties, LH levels can be easily assessed from jugular blood. However, plasma levels result from a convolution process due to clearance effects when LH enters the general circulation. Simultaneous measurements comparing LH levels in the cavernous sinus and jugular blood have revealed clear differences in the pulse shape, the amplitude and the baseline. Besides, experimental sampling occurs at a relatively low frequency (typically every 10 min) with respect to LH highest frequency release (one pulse per hour) and the resulting LH measurements are noised by both experimental and assay errors. As a result, the pattern of plasma LH may be not so clearly pulsatile. Yet, reliable information on the InterPulse Intervals (IPI) is a prerequisite to study precisely the steroid feedback exerted on the pituitary level. Hence, there is a real need for robust IPI detection algorithms. In this article, we present an algorithm for the monitoring of LH pulse frequency, basing ourselves both on the available endocrinological knowledge on LH pulse (shape and duration with respect to the frequency regime) and synthetic LH data generated by a simple model. We make use of synthetic data to make clear some basic notions underlying our algorithmic choices. We focus on explaining how the process of sampling affects drastically the original pattern of secretion, and especially the amplitude of the detectable pulses. We then describe the algorithm in details and perform it on different sets of both synthetic and experimental LH time series. We further comment on how to diagnose possible outliers from the series of IPIs which is the main output of the algorithm.Comment: Nombre de pages : 35 ; Nombre de figures : 16 ; Nombre de tableaux :

Learner conceptions of biological processes in a content and language integrated learning context

In science education, learner conceptions concern how students interpret and understand scientific issues. Recent research into learner conceptions acknowledges students’ knowledge, experiences, language, and resources that demonstrate scientific reasoning rather than their misunderstanding. In this study, we follow a functional approach to learner conceptions and explore the functions of language in constructing and representing students’ interpretations of scientific knowledge. The major theoretical framework guiding this research is the thematic pattern analysis theory (Lemke, 1990), which views scientific phenomena as the patterning of semantic relations (i.e., the relation between scientific concepts and its function). We aim to examine the emergence of learner conceptions and potential factors informing student thematic patterning of scientific issues. This study (research ethics reference number: 20200122) is situated in an undergraduate biology course that employed Content Language Integrated Learning (CLIL) in which equal emphasis was given on learning biological concepts and learning the languaging (i.e., appropriately using the thematic patterns) of the concepts. We focus on one written assignment in which students were asked to reason about the mechanism of Antidiuretic Hormone (ADH) in water transport in the scenario of water intoxification from extensive exercise and water consumption. The primary data included students’ written responses, question prompts, and marking schemes. Other textual data including textbooks, PowerPoint slides, and teacher notes were consulted to have a contextualized understanding of students’ responses. Preliminary analysis revealed a basic thematic pattern embedded in most students’ responses: EXERCISE (condition) --\u3e SWEATING (result/condition) --\u3e WATER LOSS (result/condition) --\u3e WATER CONSUMPTION (result/condition). We also identified different thematic patterns of student conceptions along each aspect of the basic pattern. To explore factors informing learner conceptions, we then compared the thematic patterns of students’ responses and the model answer, which helped demonstrate how implicit and conflicting thematic patterns incorporated in instructional materials may hamper students’ understanding of scientific concepts. For example, the notion of water may contain an implicit semantic relation of hyponym, i.e., water (subordinate term) as a specific type of molecule (superordinate category) composed of atoms; however, students may draw from their everyday experience and view water as a free-flowing substance. This study thus calls for biology teachers’ attention to the patterning of scientific representations. It also provides implications for science education in general and stimulates science teachers’ thinking in their language use in teaching scientific concepts. Works cited Lemke, J. (1990). Talking science: Language, learning, and values. Ablex Publishing Corporation. Tang, K. S. (2020). Discourse strategies for science teaching and learning: Research and practice. Routledge

Forest Height Inversion by Combining Single-Baseline TanDEM-X InSAR Data with External DTM Data

Forest canopy height estimation is essential for forest management and biomass estimation. In this study, we aimed to evaluate the capacity of TanDEM-X interferometric synthetic aperture radar (InSAR) data to estimate canopy height with the assistance of an external digital terrain model (DTM). A ground-to-volume ratio estimation model was proposed so that the canopy height could be precisely estimated from the random-volume-over-ground (RVoG) model. We also refined the RVoG inversion process with the relationship between the estimated penetration depth (PD) and the phase center height (PCH). The proposed method was tested by TanDEM-X InSAR data acquired over relatively homogenous coniferous forests (Teruel test site) and coniferous as well as broadleaved forests (La Rioja test site) in Spain. Comparing the TanDEM-X-derived height with the LiDAR-derived height at plots of size 50 m × 50 m, the root-mean-square error (RMSE) was 1.71 m (R2 = 0.88) in coniferous forests of Teruel and 1.97 m (R2 = 0.90) in La Rioja. To demonstrate the advantage of the proposed method, existing methods based on ignoring ground scattering contribution, fixing extinction, and assisting with simulated spaceborne LiDAR data were compared. The impacts of penetration and terrain slope on the RVoG inversion were also evaluated. The results show that when a DTM is available, the proposed method has the optimal performance on forest height estimation.This work was supported in part by the National Natural Science Foundation of China under Grant 41820104005, Grant 42030112, and Grant 41904004, Hunan Natural Science Foundation under Grant 2021JJ30808, and in part by the Spanish Ministry of Science and Innovation, Agencia Estatal de Investigacion, under Projects PID2020-117303GB-C22/AEI/10.13039/501100011033 and PROWARM (PID2020-118444GA-I00/AEI/10.13039/501100011033)

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation

Finding best architectures of learning machines, such as deep neural networks, is a well-known technical and theoretical challenge. Recent work by Mellor et al (2021) showed that there may exist correlations between the accuracies of trained networks and the values of some easily computable measures defined on randomly initialised networks which may enable to search tens of thousands of neural architectures without training. Mellor et al used the Hamming distance evaluated over all ReLU neurons as such a measure. Motivated by these findings, in our work, we ask the question of the existence of other and perhaps more principled measures which could be used as determinants of success of a given neural architecture. In particular, we examine, if the dimensionality and quasi-orthogonality of neural networks' feature space could be correlated with the network's performance after training. We showed, using the setup as in Mellor et al, that dimensionality and quasi-orthogonality may jointly serve as network's performance discriminants. In addition to offering new opportunities to accelerate neural architecture search, our findings suggest important relationships between the networks' final performance and properties of their randomly initialised feature spaces: data dimension and quasi-orthogonality

A Comparison between Low and High-dose of Hydroxyethylstarch Solution in Resuscitation for Shock induced by Ischemia/Reperfusion in Rabbits

The purpose of the study was to compare the effects of high and low dose of 6% hydroxyethyl starch solution (HES) on resuscitation for shock induced by intestinal ischemia/reperfusion (I/R) injury in rabbits. Thirty-two anesthetized rabbits were randomized into four groups of eight animals each, which was either treated with no fluid resuscitation as control, lactated Ringer's solution (LRS, 20ml/kg/h), LRS+HES (LRS 18ml/kg/h + HES 2ml/kg/h, low dose of HES) or only treated with HES (high dose of HES, 20ml/kg/h). These rabbits underwent the intestinal I/R injury developed by occluding superior mesenteric artery (SMA) with a noncrushing vascular clamp for 60min and then loosing the clamp for 240min. The fluid resuscitation began at the same time of reperfusion. Hemodynamic parameters including MAP, HR, aortic velocity (Qaorta, as CO) and SMA blood flow (Osma) were measured. Tissue oxygenation was assessed indirectly by measuring the tonometric parameters of gut, including difference between intestinal intramucosal PtCO2 and arterial PaCO2 (PCO2-gap), intestinal intramucosal pH (pHi), arterial lactate acid concentration and oxygen delivery (DO2). Mortality of the rabbits was calculated at the end. The results showed that hemodynamic parameters were significantly higher in group LRS+HES and HES than in group LRS and control (P<0.05). Low dose of HES was better than high dose of HES in restoring hemodynamic parameters (P<0.05). Low dose of HES could greatly decrease lactate and PCO2-gap, significantly improve pHi than other three groups (P<0.05), but high dose of HES did not do so, rather, which induced oral and nasal bleeding, even death of some animals. Low dose and high dose of HES significantly improved DO2 while LRS did not (P<0.05). Therefore low dose of HSE together with LRS was more effective than only high dose of HES or LRS in the resuscitation for shock induced by intestinal I/R injury in rabbits, because hemodynamic parameters increased suitably and tissue oxygenation was greatly improved