Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal copula duration in yellow dung flies: effects of female size and egg content

We examine data on copula duration in dung flies, Scatophaga stercoraria, in relation to female phenotype. We use a marginal value theorem approach based on the plausible mechanisms of sperm competition to predict the effect of female variation on optimal copula duration, t *, from the male perspective. Future fertilizations are expected to have a trivial effect on t * with fully gravid females, but an increasing relative effect on t * towards completion of oviposition. t * is expected to be affected by female size because of variation in (1) a female's egg content, which increases the maximum egg gain available from a mating, and (2) the female reproductive tract, which affects the rate at which sperm are displaced. In fully gravid females, t * was not dependent on egg number variation, but showed a positive relation with egg content in females that had laid a varying proportion of their mature egg load at the time of mating, and were therefore not fully gravid. Our models predict that if a male can estimate egg content only by the distension of a female's abdomen, t * should increase in a similar way to that seen with 'take-over' females. We predict t * for fully gravid females by assuming that males can monitor female size. The data showed that sperm displacement rate decreased, and average egg content increased, with female size. Under two models for a sperm displacement mechanism, one (which assumes indirect displacement at a rate proportional to the increase in spermathecal volume) predicts the observed relation between t * and female size almost exactly. Small males copulated for longer than large males (as predicted and reported previously). Copyright 1999 The Association for the Study of Animal Behaviour.
Further evidence on international Islamic and conventional portfolios diversification under regime switching

ABSTRACT This article investigates the comparative performance of International Islamic and conventional portfolio diversification across different financial market regimes and provides an optimal choice from an American investor’s viewpoint during the period 2002–2014. Using a bootstrap-based stochastic dominance (SD) test and monthly MSCI prices of Islamic stock market indices and their conventional counterparts in 38 countries from North and Latin America, Europe and Asia-Pacific regions, we find that SD relationships between Islamic and conventional optimal-diversified portfolios change systematically according to investment region and market regime. Essentially, for all regimes, US investors are indifferent between Islamic diversification and its conventional counterpart, which implies that arbitrage diversification opportunities are rare and short lived in all regions. However, across all regions, especially in a crisis regime, Islamic portfolio diversification can be a good substitute for conventional diversification. Islamic portfolio diversification in North and Latin America, Europe and Global regions is an optimal choice for the risk-averse American investors. Finally, results imply that portfolio diversification among Islamic market indices can be a good hedge, offering investors superior investment alternatives during any financial meltdown or economic slowdown due to the conservative nature of Sharia-compliant investments.
Effect of varying burn sizes and ambient temperature on the hypermetabolic rate in thermally injured rats.

BACKGROUND Small animals with scald covering 50% of their total body surface area (TBSA) have been used to study the hypermetabolic burn response. In the 50% TBSA burn rat model, the area of normal skin that is available for animal instrumentation is restricted and the mortality rate has been high. The purpose of this study was to determine whether a smaller burn size can induce a similar hypermetabolic response with mortality rates lower than those of the 50% TBSA model. METHODS Rats were randomly divided into four groups to receive a 0% (sham nonburned), 30%, 40%, or 50% TBSA third-degree scald burn. The hypermetabolic response was determined by measuring changes in body weight and oxygen consumption at ambient temperatures of 21, 26, and 31 degrees C for each burn size. Weight measurements were made daily while oxygen consumption was measured 7, 11, and 14 days after thermal injury. RESULTS All thermally injured rats lost body weight; however, there were no significant differences between the 30, 40, and 50% TBSA burn groups. Burn induced a hypermetabolic response as indicated by an increase in oxygen consumption from 130 to 200% that of sham nonburned rats. No significant difference in oxygen consumption could be shown over the study period between the three burn sizes at different ambient temperatures. Mortality was 0% in the sham and 30% group, 10% for the 40% group, and 50% for the 50% TBSA burn group. CONCLUSIONS From our study we conclude that a burn size covering 30% of the TBSA induces the same hypermetabolic response as a 50% TBSA burn.
Price Reduction Strategy for a Multi-Category Retailer

Multi-category businesses often reduce the price of one category to generate purchases for other categories. The extra profit from related purchases will hopefully justify the sacrificed margin in the promoted category, and eventually lead to overall profit increase. The author develops a model incorporating three critical factors that determine the magnitude of the price promotion effect: the profit margins, the sales volumes, and the own- and cross-category price elasticities. The model shows that only in certain conditions can a price cut lead to net profit increase. Retailers reduce the prices of the target category as well as the complementary categories to create the maximal price-cut image. This strategy often results in the loss of total store margin, though the sales increases. The reason for the profit loss is because the retailer has given away the margins of the target category as well as that of the complementary categories. The author suggests a managerial procedure for a storewide pricing decision. The first step is to identify categories into complementary groups according to the cross-category elasticity estimates. The second step then selects carefully a target category for each complementary group. This implementation can maximize the profit increase, increase the sales and still maintain a storewide price reduction image.
Spatial distribution of posterior pole choroidal thickness by spectral domain optical coherence tomography.

PURPOSE To study the spatial distribution of posterior pole choroidal thickness (CT) in healthy eyes using spectral domain optical coherence tomography (SD-OCT). METHODS Fifty-nine eyes from 30 subjects with no retinal or choroidal disease were examined with high-definition (HD) OCT using macular volume cube scanning protocols. A randomly chosen subset also had multifield analysis performed (volume scans centered on and surrounding the optic nerve head [ONH]). CT was manually quantified using a validated reading center tool. For macular scans, mean CT was calculated for each Early Treatment Diabetic Retinopathy Study subfield. Compound posterior pole CT maps were also created through the alignment of OCT projection images. Regression analyses were used to evaluate the correlation between CT and axial length (AL), refractive error, age, sex, and ethnicity. RESULTS Subfoveal CT was 297.8 ± 82.2 μm, which did not differ significantly from that of the inner macular subfields. CT was greatest in the superior outer subfield and thinnest in the nasal outer subfield. The most predictive models for macular CT included AL and/or age. Outside the macula, CT was thinnest inferonasal to the ONH. CONCLUSIONS CT demonstrates large variations between individuals, but also at different locations within the posterior pole; substantial choroidal thinning inferonasal to the ONH was demonstrated. CT appears to correlate more with distance from the optic nerve than from the fovea and, thus, in future studies, the ONH may serve as a better reference point than the foveal center for expressing or depicting regional CT variations.
Consumer Acceptance and Preference Study (CAPS) on Brown and Undermilled Indian Rice Varieties in Chennai, India

Objectives: To study consumer acceptance of unmilled brown and undermilled rice among urban south Indians. Methods: Overweight and normal weight adults living in slum and nonslum residences in Chennai participated (n = 82). Bapatla (BPT) and Uma (red pigmented) rice varieties were chosen. These rice varieties were dehusked (unmilled, 0% polish) and further milled to 2.3% and 4.4% polishing (undermilled). Thus, 9 rice samples in both raw and parboiled forms were provided for consumer tasting over a period of 3 days. A 7-point hedonic scale was used to rate consumer preferences. A validated questionnaire was used to collect demographic, anthropometric, medical history, physical activity, dietary intake data, and willingness of the consumers to switch over to brown rice. Results: Consumers reported that the color, appearance, texture, taste, and overall quality of the 4.4% polished rice was strongly preferred in both varieties and forms. Ratings for 0% polished (brown rice) were substantially lower than those of 2.3% polished rice, which were intermediate in ratings between 0% and 4.4% polishing. However, most of the consumers (93%) expressed a willingness to substitute brown or 2.3% polished rice, if affordable, after the taste tests and education on nutritional and health benefits of whole grains. Conclusion: Though most consumers preferred polished white rice, education regarding health benefits may help this population switch to brown or undermilled rice. Cooking quality and appearance of the grains were perceived as the most important factors to consider when purchasing rice among Chennai urban adults.
On the phase interferometry direction finding: Performance comparison and FPGA implementations

Direction finding (DF) system employing phase interferometer of long baselines provides high accuracy of Angle Of Arrival (AOA), however, it also implicates phase ambiguity and phase error. The main contribution of this paper involves two parts. The first one concerns the performance comparison of three algorithms applied for determination of unambiguous AOA using simulations. These algorithms are the Second-Order Difference Array (SODA), CORRelative (CORR) interferometer, and Phase Rotation Algorithm (PRA). In the second part, an efficient Field Programmable Gate Array (FPGA) implementation of PRA, is proposed and compared to the implementation of SODA and CORR algorithms. The proposed architectures allows an important optimization of the required FPGA hardware resources utilization.
Body temperature and major neurological improvement in tPA‐treated stroke patients

Major neurological improvement (MNI) at 24 hours represents a marker of early recanalization in ischaemic stroke. Although low body temperature is considered neuroprotective in cerebral ischaemia, some studies have suggested that higher body temperature may promote clot lysis in the acute phase of ischaemic stroke. We hypothesized that higher body temperature was associated with MNI in severe stroke patients treated with tPA, suggesting a beneficial effect of higher body temperature on clot lysis and recanalization.
Structural basis for ligand and substrate recognition by torovirus hemagglutinin esterases

Hemagglutinin esterases (HEs), closely related envelope glycoproteins in influenza C and corona- and toroviruses, mediate reversible attachment to O-acetylated sialic acids (Sias). They do so by acting both as lectins and as receptor-destroying enzymes, functions exerted by separate protein domains. HE divergence was accompanied by changes in quaternary structure and in receptor and substrate specificity. The selective forces underlying HE diversity and the molecular basis for Sia specificity are poorly understood. Here we present crystal structures of porcine and bovine torovirus HEs in complex with receptor analogs. Torovirus HEs form homodimers with sialate-O-acetylesterase domains almost identical to corresponding domains in orthomyxo- and coronavirus HEs, but with unique lectin sites. Structure-guided biochemical analysis of the esterase domains revealed that a functionally, but not structurally conserved arginine–Sia carboxylate interaction is critical for the binding and positioning of glycosidically bound Sias in the catalytic pocket. Although essential for efficient de-O-acetylation of Sias, this interaction is not required for catalysis nor does it affect substrate specificity. In fact, the distinct preference of the porcine torovirus enzyme for 9-mono- over 7,9-di-O-acetylated Sias can be explained from a single-residue difference with HEs of more promiscuous specificity. Apparently, esterase and lectin pockets coevolved; also the porcine torovirus HE receptor-binding site seems to have been designed to use 9-mono- and exclude di-O-acetylated Sias, possibly as an adaptation to replication in swine. Our findings shed light on HE evolution and provide fundamental insight into mechanisms of substrate binding, substrate recognition, and receptor selection in this important class of virion proteins.
Moving Block Sequence and Organizational Evolutionary Algorithm for General Floorplanning With Arbitrarily Shaped Rectilinear Blocks

A new nonslicing floorplan representation, the moving block sequence (MBS), is proposed in this paper. Our idea of the MBS originates from the observation that placing blocks on a chip has some similarities to playing the game, Tetrisreg. Since no extra constraints are exerted on solution spaces, the MBS is not only useful for evolutionary algorithms, but also for dealing with rectangular, convex rectilinear, and concave rectilinear blocks, similarly and simultaneously, without partitioning rectilinear blocks into subblocks. This is owed to a special structure designed for recording the information of both convex and concave rectilinear blocks in a uniform form. Theoretical analyses show that the computational cost of transforming an MBS to a floorplan with rectangular blocks, in terms of the number of blocks, is between linear and quadratic. Furthermore, as a follow-up of our previous works, a new organizational evolutionary algorithm (OEA) based on the MBS (MBS-OEA) is proposed. With the intrinsic properties of the MBS in mind, three new evolutionary operators are designed in the MBS-OEA. To test the performance of the MBS-OEA, benchmarks with hard rectangular, soft rectangular, and hard rectilinear blocks are used. The number of blocks in these benchmarks varies from 9 to 300. Also, the MBS-OEA and several well-designed existing algorithms are compared. The results show that the MBS-OEA can find high quality solutions for various problems. Additionally, the MBS-OEA shows a good performance in solving the problems with 300 hard rectangular blocks, 100 soft rectangular blocks, and 100 hybrid blocks, including both soft rectangular and hard rectilinear blocks. This illustrates that the MBS-OEA is not only suitable for solving a wide range of problems, but also competent for solving large-scale problems. Finally, a set of specific experiments is designed to identify the key component that is mainly responsible for the good performance of the MBS-OEA.
Working Memory in the Classroom: An Inside Look at the Central Executive

This article provides a review of working memory and its application to educational settings. A discussion of the varying definitions of working memory is presented. Special attention is given to the various multidisciplinary professionals who work with students with working memory deficits, and their unique understanding of the construct. Definitions and theories of working memory are briefly summarized and provide the foundation for understanding practical applications of working memory to assessment and intervention. Although definitions and models of working memory abound, there is limited consensus regarding universally accepted definitions and models. Current research indicates that developing new models of working memory may be an appropriate paradigm shift at this time. The integration of individual practitioner's knowledge regarding academic achievement, working memory and processing speed could provide a foundation for the future development of new working memory models. Future directions for research should aim to explain how tasks and behaviors are supported by the substrates of the cortico-striatal and the cerebro-cerebellar systems. Translation of neurobiological information into educational contexts will be helpful to inform all practitioners' knowledge of working memory constructs. It will also allow for universally accepted definitions and models of working memory to arise and facilitate more effective collaboration between disciplines working in educational setting.
Regional Effects of Monetary Policy in China: Evidence from China's Provinces

This study examines the provincial effects of monetary policy from 1978 to 2011 in China. We used the SVAR method to measure the magnitude and timing of each province's response to monetary policy shocks when considering the influences of spillover effects among provinces. Then we also explored the regional effects of monetary policy employing multiple linear regressions. The results confirm that provinces respond differently to monetary policy actions. It was found that in the short run, the influence of spillover effects on a province's response is very important, but in the long run, the negative influence of deposit transfers overtake the positive impact of the spillover effect. For the factors causing the regional effects on monetary policy, the results show that the interest rate channel is rather weak at the regional level in China. The bank lending channel can explain the regional effects of monetary policy to some extent. Thus in China, the bank lending channel is more effective than the interest rate channel at the regional level.
Designing text corpus using phone-error distribution for acoustic modeling

It is expensive to prepare a sufficient amount of training data for acoustic modeling for developing large vocabulary continuous speech recognition systems. This is a serious problem especially for resource-deficient languages. We propose an active learning method that effectively reduces the amount of training data without any degradation in recognition performance. It is used to design a text corpus for read speech collection. It first estimates phone-error distribution using a small amount of fully transcribed speech data. Second, it constructs a sentence set whose phone-occurrence distribution is close to the phone-error distribution and collects its speech data. It then extends this process to diphones and triphones and collects more speech data. We evaluated our method with simulation experiments using the Corpus of Spontaneous Japanese. It required only 76 h of speech data to achieve word accuracy of 74.7%, while the conventional training method required 152 h of data to achieve the same rate.
Interaction between an Integral Protein of the Nuclear Envelope Inner Membrane and Human Chromodomain Proteins Homologous to Drosophila HP1*

At the nuclear envelope in higher eukaryotic cells, the nuclear lamina and the heterochromatin are adjacent to the inner nuclear membrane, and their attachment is presumably mediated by integral membrane proteins. In a yeast two-hybrid screen, the nucleoplasmic domain of lamin B receptor (LBR), an integral protein of the inner nuclear membrane, associated with two human polypeptides homologous to Drosophila HP1, a heterochromatin protein involved in position-effect variegation. LBR fusion proteins bound to HP1 proteins synthesized by in vitro translation and present in cell lysates. Antibodies against LBR also co-immunoprecipitated HP1 proteins from cell extracts. LBR can interact with chromodomain proteins that are highly conserved in eukaryotic species and may function in the attachment of heterochromatin to the inner nuclear membrane in cells.
An integrated model for caustic ratio prediction in the alumina digestion process

The caustic ratio of the product in the alumina digestion process is obtained by off-line analysis with a long time delay, which leads to delayed process control, and therefore, fluctuation of the caustic ratio. So, it is significant to predict the caustic ratio on-line. On the basis of the reaction mechanism in the digestion process, a mechanistic model based on material balance for the caustic ratio was built. The fuzzy expert rules for caustic ratio prediction were summarized according to the operating experiences by taking the production conditions as inputs. The mechanistic model and the expert model are integrated. A kernel extreme learning machine (KELM) model was then built to compensate the integrated model, which uses time series of the error of the integrated model as inputs. So, finally, an integrated prediction model for the caustic ratio was established by parallel connection of the corrected mechanism model with the compensation model. The validation results showed that the integrated prediction model can effectively solve the problem of on-line measurement, which gives a foundation for the optimal control in the alumina digestion process.
Identification of HGF-like protein as a novel neurotrophic factor for avian dorsal root ganglion sensory neurons.

HGF-like protein (HLP) is a member of the hepatocyte growth factor (HGF) family. Although HGF is shown to have neurotrophic activities on many of CNS and PNS neurons, the role of HLP in the nervous system is poorly understood despite the knowledge that Ron/HLP receptor is expressed in embryonic neurons. Here we show that HGF but not HLP promotes neurite extension and migration emanating from chick embryonic day 9 (E9) dorsal root ganglia (DRG) explants in the presence of low levels of NGF, however, HLP does promote neurite extension and cellular migration from E15 chick DRG explants with low levels of NGF. Ron-Fc, a chimeric molecule composed of the extracellular domain of Ron fused with immunoglobulin Fc, eliminated activities of HLP, such as cellular migration and long neurite extension emanating from E15 DRG explants in the presence of NGF, but did not eliminate short neurites. These results suggested that promotion of long neurite extension and migration depends on activities of HLP through its receptor/Ron. Taken together, we propose that HLP may play an important role in chick sensory ganglia at relatively late stages of development. This is the first evidence that HLP functions as a neurotrophic factor.