Miracle-dz/UniFAR-FTUs huggingface dataset:
Distinct ITS types of Symbiodinium in clade C correlate with cnidarian/dinoflagellate specificity during onset of symbiosis

This study aimed at determining whether fine-scale molecular diversity of Symbiodinium corresponds to functional differences in host/symbiont specificity during the onset of symbiosis in cnidarian/alga mutualisms. Infection experiments were conducted in aposymbiotic larvae of the scleractinian Fungia scutaria using known algal Internal Transcribed Spacer (ITS)-2 types within Clade C. Our results show that algal type is directly related to specificity during the onset of symbiosis in F. scutaria larvae. The 3 ITS symbiont types (C1f, C15 and C31) within the major Symbiodinium Clade C engaged differentially in symbiosis with coral larvae. The homologous symbiont (C1f), found in adult F. scutaria from the field, showed a significantly better association with the host larvae than the other 2 heterologous symbionts (C15 extracted from Porites compressa, and C31 from Montipora capitata). This is the first evidence that fine-scale ITS diversity of Symbiodinium confers functionality in the symbiosis.
Fluidic Control of a Turret Wake, Part II: Aero-Optical Effects

This paper, along with a companion paper [1], investigates the effects of flow control actuation on aero-optical distortions in the near wake of a 0.6 meter in diameter hemisphereon-cylinder turret model placed on the side wall of a wind tunnel. The aero-optical environment was characterized using a Malley probe. The main objective of the current work was to assess the effectiveness of the active flow control in mitigating optical aberrations over a conformal optical window mounted on the turret for backward-looking elevation angles at subsonic Mach numbers. The paper presents the analysis of the aerooptical environment present for the baseline flow around the turret and the influence of that the different active-flow-control configurations have on that environment.
Cellular immune response, stress resistance and competitiveness in nestling great tits in relation to maternally transmitted carotenoids

1. Egg yolks contain carotenoids that protect biological molecules against free-radical damage and promote maturation of the immune system. Availability of carotenoids to birds is often limited. Trade-offs can thus arise in the allocation of carotenoids to different physiological functions, and mothers may influence the immunocompetence of nestlings by modulating the transfer of carotenoid to the yolk. ;2. In the great tit Parus major, we experimentally manipulated the dietary supply of carotenoid to mothers, and partially cross-fostered hatchlings to investigate the effect of an increased availability of carotenoids during egg laying on immunocompetence of nestlings. ;3. In addition, we infested half of the nests with hen fleas Ceratophyllus gallinae to investigate the relationship between carotenoid availability, resistance to ectoparasites and immunocompetence. ;4. We found that the procedure of cross-fostering can reduce the immune response of nestlings, but this effect can be compensated by the maternally transferred carotenoids. Cross-fostered nestlings of carotenoid-supplemented females show a similar immune response to non-cross-fostered nestlings, while cross-fostered nestlings of control females mounted a weaker cell-mediated immune response. This suggests that yolk carotenoids may help nestlings to cope with stress, for example the one generated by cross-fostering and/or they may enhance nestling competitiveness. ;5. There was no statistically significant interaction between parasite and carotenoid treatments, as would be expected if carotenoids helped nestlings to fight parasites. Under parasite pressure, however, lighter nestlings raised a lower immune response, while the immune response was only weakly correlated with body mass in uninfested nests.
Modeling Spatio-Temporal Human Track Structure for Action Localization

This paper addresses spatio-temporal localization of human actions in video. In order to localize actions in time, we propose a recurrent localization network (RecLNet) designed to model the temporal structure of actions on the level of person tracks. Our model is trained to simultaneously recognize and localize action classes in time and is based on two layer gated recurrent units (GRU) applied separately to two streams, i.e. appearance and optical flow streams. When used together with state-of-the-art person detection and tracking, our model is shown to improve substantially spatio-temporal action localization in videos. The gain is shown to be mainly due to improved temporal localization. We evaluate our method on two recent datasets for spatio-temporal action localization, UCF101-24 and DALY, demonstrating a significant improvement of the state of the art.
Predicting future speeding behaviour: The appeal of positive emotional appeals for high risk road users

Males are more likely to be involved in road-related trauma and to engage in risky driving behaviours such as speeding. Advertising campaigns attempting to motivate behavioural change among males often rely upon negative, fear-based emotional appeals. However, evidence is mixed for the effectiveness of fear appeals and there is limited evidence for the effectiveness of alternative emotion-based approaches, such as positive emotional appeals, which incorporate humour or pride. The current study examined the impact of negative and positive emotional messages on self-reported speeding behaviour. For comparative purposes, the results obtained for male, as well as female drivers, are reported. Participants (N = 205) completed an internet-based survey in which their past (pre-exposure) speeding behaviour was assessed before exposure to either a positive or negative emotion-based message. Immediately after exposure, the extent of message acceptance was assessed. One month later, participants were asked to report their speeding behaviour during the previous 4 weeks. Hierarchical regressions examined the extent that message acceptance predicted subsequent self-reported behaviour over and above the impact of participants’ past speeding behaviour. The results revealed that message acceptance reported by males after exposure to positive emotional appeals was a more important predictor of subsequent speeding behaviour than their past speeding behaviour. In contrast, the results reported for those exposed to negative emotional appeals indicated that such appeals may have limited impact on males’ speeding behaviour with past behaviour emerging as the only significant predictor. Overall, the results highlight the potential utility of positive emotional appeals for modifying the behaviour of male road users.
Main factors in the adoption of digital marketing in startups an online focus group analysis

The main purpose of this paper is to help small businesses such as startups to successfully adopt and implement digital marketing as a strategy in their business plan. Given that many of these companies have a considerable number of fragile internal characteristics, such as a lack of access to financial capital while lacking also qualified human resources, they can't adopt a technology without first evaluating how it would affect them. With this in mind, this study will go through several stages of qualitative analysis to find the most relevant and important factors in the adoption of digital marketing in startups. We are looking to validate the results of each step with experts in the field; in order to do that an online focus group tool will be used so that the digital marketing specialists can propound their opinions.
Zooplankton community response to experimental acidification in boreal shield lakes with different ecological histories

Community responses to acidification and recovery of boreal lakes are poorly understood, particularly after several years of recovered lake-water pH (pH ≥ 6.0). We tested if zooplankton communities in two circumneutral lakes with different acidification histories were adapted to historical lake-water pH with a reciprocal transplant field enclosure experiment. A second objective was to assess the influence of local environments on zooplankton survival and abundance. Differences in acid tolerance could be detected in some zooplankton among the two lakes with different acidification histories — zooplankton from acid-recovering Carlyle Lake, recovered to pH ≥ 6.0 for 6 years were more speciose and maintained higher total abundance at pH 4.8 than the community from a buffered lake. The zooplankton community in this historically acidified lake was comprised of two dominant species with acid-adaptable tolerances, Holopedium gibberum and Leptodiaptomus minutus. High establishment of transplanted zooplankton in ou.
Satellite-Based, Multi-Indices for Evaluation of Agricultural Droughts in a Highly Dynamic Tropical Catchment, Central Vietnam

Characterization of droughts using satellite-based data and indices in a steep, highly dynamic tropical catchment, like Vu Gia Thu Bon, which is the most important basin in central Vietnam, has remained a challenge for many years. This study examined the six widely used vegetation indices (VIs) to effectively monitor droughts that are based on their sensitivity with precipitation, soil moisture, and their linkage with the impacts on agricultural crop production and forest fires. Six VIs representing the four main groups, including greenness-based VIs (Vegetation Condition Index), water-based VIs (Normalized Difference Water Index, Land Surface Water Index), temperature-based VIs (Temperature Condition Index), and combined VIs (Vegetation Health Index, Normalized Difference Drought Index) were tested using MODIS data from January 2001 to December 2016 with the support of cloud-based Google Earth Engine computational platform. Results showed that droughts happened almost every year, but with different intensity. Vegetation stress was found to be mainly attributed to precipitation in the rice paddy fields and to temperature in the forest areas. Findings revealed that combined vegetation indices were more sensitive drought indicators in the basin, whereas their performance was different by vegetation type. In the rice paddy fields, NDDI was more sensitive to precipitation than other indices; it better captured droughts and their impacts on crop yield. In the forest areas, VHI was more sensitive to temperature, and thus had better performance than other VIs. Accordingly, NDDI and VHI were recommended for monitoring droughts in the agricultural and forest lands, respectively. The findings from this study are crucial to map drought risks and prepare an effective mitigation plan for the basin.
Generalized Predictive Contour Control of the Biaxial Motion System

In order to overcome the redundancy of the biaxial motion system's traditional control structure and the cumbersome nature of the controller parameter adjustment, this paper simplifies the traditional control structure and proposes a generalized predictive contour control strategy applicable to the biaxial motion system based on the idea of unified modeling. The two permanent magnet synchronous motors that drive the biaxial motion system are considered as a whole to establish a unified model. Through the idea of multistep prediction, rolling optimization, and feedback correction in generalized predictive control, the optimal control input signal is obtained by coordinating the tracking error and contour error. In addition, an actuating value limitation has to be taken into account to design a realizable generalized predictive contour control for the biaxial system. At the same time, the closed-loop stability analysis of the generalized predictive contour control system is carried out according to the optimal control principle and the state equation model. The experimental results show that the proposed control strategy cannot only accurately track the contour trajectory at steady state but also improve the transient contour tracking performance.
Spectrophotometric Determination of Mesalazine by Diazotisation-Coupling Method with Resorcinol

A simple spectrophotoemtric method for the determination of mesalazine [5aminosalicylic acid; (5-ASA)] in aqueous solution is achieved. The method is based on the reaction of mesalazine, with excess nitrite, in an acidic medium, to produce the corresponding diazonium salt. After the removal of residual nitrite with sulphamic acid, the diazonium salt is coupled with resorcinol reagent in basic medium to produce, an intense orange coloured water-soluble and stable azo-dye which exhibits maximum absorption at 471nm. Beer’s law is obeyed in the concentration range of 10-300µg of mesalazine in a final volume of 25 ml i.e., 0.4-12 ppm with a molar absorptivity of 2.9480×10 4 l.mol -1 . cm -1 and Sandell sensitivity index of 0. 0051µg. cm -2 , a relative error of -0.96 to -0.23% and relative standard deviation of ±1.05 to ±0.37% depending on the concentration level. The proposed method has been applied successfully to determine mesalazine in pharmaceutical preparation (capsules). ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ ــــــــــــــــــــــــــــــــــ ــــ
Interactional justice, leader–member exchange, and employee performance: Examining the moderating role of justice differentiation

Summary Past research suggests that interactional justice plays a pivotal role in facilitating high-quality leader–member exchange (LMX), with downstream implications for employee performance. However, the broader context in which these effects unfold has received scarce attention. Drawing from deontic justice and social exchange theories, we suggest that interactional justice differentiation is an important contextual moderator of the link between interactional justice and LMX. Specifically, we argue that high interactional justice differentiation attenuates the link between interactional justice and LMX, in turn influencing the effects of interactional justice on employee task and creative performance. Results from two studies employing both experimental and multisource, multilevel survey designs provide convergent support for the hypothesized model. We conclude by highlighting several key theoretical and practical implications of our findings. Copyright © 2016 John Wiley & Sons, Ltd.
A Low-Power Forward and Reverse Body Bias Generator in CMOS 40 nm

This brief presents a low-power forward and reverse body bias (FRBB) generator with body bias (BB) switches to dynamically set BB voltage. The reverse BB (RBB) P-well generator uses pulse frequency modulation (PFM)-based switching capacitor power converter to achieve low power consumption in a wide load current range of 1–30 <inline-formula> <tex-math notation="LaTeX">$\mu ~\text{A}$ </tex-math></inline-formula>. The FBB adopts class-AB output stage and an over-current indicator to detect large body diode forward conduction leakage current. BB switch is introduced to dynamically configure the FRBB generated voltage. The proposed FRBB with BB switch is fabricated in a CMOS 40-nm triple well process, occupying an area of around 0.1 mm<sup>2</sup>. The 300k digital gates are used as the load for test. The measured active current for FBB and RBB are 13 and <inline-formula> <tex-math notation="LaTeX">$5~\mu \text{A}$ </tex-math></inline-formula>, respectively.
Career and Leadership Education in Anesthesia Residency Training

Being a well-rounded physician requires competencies that extend beyond traditional medical training. This study explores one residency program’s attempt to address the need to foster career management and leadership skills. A year-long didactic program was initiated to tackle both career management and leadership development. At the conclusion of the program, a survey revealed an increase in perceived competency in the domains taught. There was also a measurable increase in the amount of scholarly and quality improvement projects done in the department where the program was implemented. To support and develop physician competencies, healthcare organizations may derive immense benefit from a program that fosters both career management and leadership skills.
Correlation of BMI with breast cancer subtype and tumour size

Background Breast cancer is a heterogeneous disease which is divided broadly into luminal, HER2 and basal type based on molecular profiling. Increased body mass index (BMI) has been associated with the risk of developing breast cancer but the association based on molecular subtype remains conflicting. Methods This was an observational study carried out over a period of 2 years. Nonmetastatic breast cancer patients were evaluated for the tumour subtype based on surrogate markers (ER, PR and HER2). The BMI of these patients was correlated with the tumour subtype and size. Results We studied 476 patients with breast cancer with the median age of 46 years (range, 25–86) and 58% were premenopausal. The mean BMI of the cohort was 24.1, which was significantly higher in postmenopausal women (24.9 versus 23.6, p < 0.05). Overall, only 10% of patients were obese. The mean BMI in the luminal, HER2 and TNBC subtypes was 24.7, 22.4 and 23.9, respectively (p < 0.01). Also, the mean tumour size in luminal, HER2 and TNBC subtype was 4.02, 3.80 and 4.27 cm, respectively (p = 0.158). Conclusion The average BMI was higher in patients with luminal subtype followed by TNBC and lowest for HER2 at the time of diagnosis. The mean tumour size was numerically higher for TNBC and lowest for HER2 subtype although the difference was not statistically significant. Larger studies may provide clarity of association between the BMI and tumour subtype.
Synchronization of Networks of Piecewise-Smooth Systems

We study convergence in networks of piecewise-smooth (PWS) systems that commonly arise in applications to model dynamical systems whose evolution is affected by macroscopic events such as switches and impacts. Existing approaches were typically oriented toward guaranteeing global bounded synchronizability, local stability of the synchronization manifold, or achieving synchronization by exerting a control action on each node. Here we start by generalizing existing results on QUAD systems to the case of PWS systems, accounting for a large variety of nonlinear coupling laws. Then, we propose that a discontinuous coupling can be used to guarantee global synchronizability of a network of $N$ PWS agents under mild assumptions on the individual dynamics. We provide extensive numerical simulations to gain insights on larger networks.
Scenario dominance for acceleration of robust service system design method

This paper deals with robust emergency system designing. Usually, the problem of optimal resource deployment under standard conditions is formulated as the weighted p-median problem. The weights of the distances are often proportional to population in the individual users' locations. The demand for system robustness brought constitution of detrimental scenarios on the scene. The scenarios comprise impact of possible fatal failures on time distances between facilities and the users' locations. Each scenario corresponds to a particular objective function, and thus searching for the robust service system design consists in minimizing the maximum of particular objective functions. The resulting problem is hard to be solved due to the model size and usage of min-max constraints, which link up the individual scenario objective functions with their upper bound representing the objective function of the robust problem. We focus here on handling big size of the original model by scenario dominance analysis to reduce the set of scenarios and to accelerate associated solving methods.
Seed cleaning of Cupania vernalis (Sapindaceae) by ants: edge effect in a highland forest in south-east Brazil

The integrity of ecological interactions, such as pollination and seed dispersal, has been recognized as important for long-term conservation of biodiversity (Asquith et al. 1999, Buchmann & Nabhan 1997, Howe 1984, Pizo 1997). This is illustrated by the fact that the loss of large-bodied animals like birds and mammals after habitat fragmentation can result in population changes or even extinction of many plant species (Silva & Tabarelli 2000). In the absence of primary seed dispersers (vertebrates), the importance of invertebrates such as ants, that can carry or clean seeds, probably increases.
On the Analysis and the Mitigation of Power Supply Noise and Power Distribution Network Impedance Variation for Scan-Based Delay Testing Techniques

In this paper, we analyze the impact of the power supply noise and the power distribution network (PDN) impedance variation on the timing margin in both modes for ICs with multiple clock domains. We investigate the so-called intermodulation products (IMPs). We show that IMPs are mainly induced by the dependent nature of the transistors. We also provide experimental results showing that scan-based delay testing can be optimistic with respect to the mission mode for maximum achievable nominal frequency prediction, even at lower clock frequencies. We also show that IMPs can induce timing margin fluctuations that can be larger than that of the ones induced by the voltage droop in the test mode. Using an improved HSpice simulation model of a PDN validated by experimental results, we also quantify the timing margin variation due to power noise in the test mode as a function of the clock frequency, including the so-called clock stretching phenomenon. Finally, we propose a robust test signal scheme for multiple clock domain chips. The simulation results reveal that this scheme is less sensitive to PDN impedance variation than that of the most popular existing test schemes, and that it provides timing margins closer to those obtained in the mission mode.
Combining the tasklet model with OpenMP Conference Paper

Previous workshops have discussed a proposal to augment Ada with fine-grained parallelism, based on the notion of tasklets, a lightweight parallel entity. Recent works have shown the convergence of this model with the OpenMP tasking model and have proposed their coexistence. In this paper we provide a status of the existent works, and describe how these models could be combined. Combining the tasklet model with OpenMP Luis Miguel Pinho Eduardo Quiñones, Sara Royuela CISTER/ISEP BSC Portugal Spain lmp@isep.ipp. pt {eduardo.quinones,sara.royuela}@bsc.es
On the Significance of the Quantum Mechanical Covariance Matrix

The characterization of quantum correlations, being stronger than classical, yet weaker than those appearing in non-signaling models, still poses many riddles. In this work, we show that the extent of binary correlations in a general class of nonlocal theories can be characterized by the existence of a certain covariance matrix. The set of quantum realizable two-point correlators in the bipartite case then arises from a subtle restriction on the structure of this general covariance matrix. We also identify a class of theories whose covariance has neither a quantum nor an “almost quantum” origin, but which nevertheless produce the accessible two-point quantum mechanical correlators. Our approach leads to richer Bell-type inequalities in which the extent of nonlocality is intimately related to a non-additive entropic measure. In particular, it suggests that the Tsallis entropy with parameter q=1/2 is a natural operational measure of non-classicality. Moreover, when generalizing this covariance matrix, we find novel characterizations of the quantum mechanical set of correlators in multipartite scenarios. All these predictions might be experimentally validated when adding weak measurements to the conventional Bell test (without adding postselection).