Miracle-dz/UniFAR-FTUs huggingface dataset:
Early Performance of Eucalyptus Clones in Vindhyan Region of Uttar Pradesh, India

The present study was carried out to assess the early growth performance of Eucalyptus clones in Vindhyan region of Uttar Pradesh for identification of promising clones for the region. A clonal trial was established in the year 2016 in Vindhyan region of Eastern Uttar Pradesh with 19 clones to assess their suitability. The results of early growth performance evaluation of these clones after one year of planting were carried out for annual measurements of survival, total height, girth at breast height (gbh), soil chemical and physical analysis. The data were analyzed statistically. The results of early growth performance evaluation of these clones after one year of planting were carried out for annual measurements of height, girth at breast height (gbh) and soil analysis. The data were analyzed statistically. The highest value of increment in gbh belonged to clones 526 (9.04 cm) followed by 2136 (8.84 cm), P-50 (8.53 cm), P-14 (8.33 cm), P-32 (8.04 cm), 2023 (7.88 cm) and P-13 (7.81 cm) respectively, whereas the lowest values belonged to clone 3021 with 4.70 cm and control with 2.97cm. The clones with good height were P-50 (4.04 m), 526 (3.82 m), 2136 (3.76 m) and P-13 (3.73 m) . The remaining clones had different ranks of gbh and height increments as compared to the control. The other clones had different levels and differed to each other significantly. Therefore, in future, promising clones may be recommended to be planted in agro forestry for this specific region.
Hydrolytic Capabilities as a Key to Environmental Success: Chitinolytic and Cellulolytic Acidobacteria From Acidic Sub-arctic Soils and Boreal Peatlands

Members of the Acidobacteria are among the most efficient colonizers of acidic terrestrial habitats but the key traits underlying their environmental fitness remain to be understood. We analyzed indigenous assemblages of Acidobacteria in a lichen-covered acidic (pH 4.1) soil of forested tundra dominated by uncultivated members of subdivision 1. An isolate of these bacteria with cells occurring within saccular chambers, strain SBC82T, was obtained. The genome of strain SBC82T consists of a 7.11-Mb chromosome and four megaplasmids, and encodes a wide repertoire of enzymes involved in degradation of chitin, cellulose, and xylan. Among those, four secreted chitinases affiliated with the glycoside hydrolase family GH18 were identified. Strain SBC82T utilized amorphous chitin as a source of carbon and nitrogen; the respective enzyme activities were detected in tests with synthetic substrates. Chitinolytic capability was also confirmed for another phylogenetically related acidobacterium isolated from a Sphagnum peat bog, strain CCO287. As revealed by metatranscriptomic analysis of chitin-amended peat, 16S rRNA reads from these acidobacteria increased in response to chitin availability. Strains SBC82T and CCO287 were assigned to a novel genus and species, Acidisarcina polymorpha gen. nov., sp. nov. Members of this genus colonize acidic soils and peatlands and specialize in degrading complex polysaccharides.
Public auditing for shared data with efficient user revocation in the cloud

With data services in the cloud, users can easily modify and share data as a group. To ensure data integrity can be audited publicly, users need to compute signatures on all the blocks in shared data. Different blocks are signed by different users due to data modifications performed by different users. For security reasons, once a user is revoked from the group, the blocks, which were previously signed by this revoked user must be re-signed by an existing user. The straightforward method, which allows an existing user to download the corresponding part of shared data and re-sign it during user revocation, is inefficient due to the large size of shared data in the cloud. In this paper, we propose a novel public auditing mechanism for the integrity of shared data with efficient user revocation in mind. By utilizing proxy re-signatures, we allow the cloud to re-sign blocks on behalf of existing users during user revocation, so that existing users do not need to download and re-sign blocks by themselves. In addition, a public verifier is always able to audit the integrity of shared data without retrieving the entire data from the cloud, even if some part of shared data has been re-signed by the cloud. Experimental results show that our mechanism can significantly improve the efficiency of user revocation.
Marine Algae of French Frigate Shoals, Northwestern Hawaiian Islands: Species List and Biogeographic Comparisons1

ABSTRACT French Frigate Shoals represents a relatively unpolluted tropical Pacific atoll system with algal assemblages minimally impacted by anthropogenic activities. This study qualitatively assessed algal assemblages at 57 sites, thereby increasing the number of algal species known from French Frigate Shoals by over 380% with 132 new records reported, four being species new to the Hawaiian Archipelago, Bryopsis indica, Gracilaria millardetii, Halimeda distorta, and an unidentified species of Laurencia. Cheney ratios reveal a truly tropical flora, despite the subtropical latitudes spanned by the atoll system. Multidimensional scaling showed that the flora of French Frigate Shoals exhibits strong similarities to that of the main Hawaiian Islands and has less commonality with that of most other Pacific island groups.
Explaining dinophysis cf. acuminata abundance in Antifer (Normandy, France) using dynamic linear regression

Classical regression analysis can be used to model time series. However, the assumption that model parameters are constant over time is not necessarily adapted to the data. In phytoplankton ecology, the relevance of time-varying parameter values has been shown using a dynamic linear regression model (DLRM). DLRMs, belonging to the class of Bayesian dynamic models, assume the existence of a non-observable time series of model parameters, which are estimated on-line, i.e. after each observation. The aim of this paper was to show how DLRM results could be used to explain variation of a time series of phytoplankton abundance. We applied DLRM to daily concentrations of Dinophysis cf. acuminata, determined in Antifer harbour (French coast of the English Channel), along with physical and chemical covariates (e.g. wind velocity, nutrient concentrations). A single model was built using 1989 and 1990 data, and then applied separately to each year. Equivalent static regression models were investigated for the purpose of comparison. Results showed that most of the Dinophysis cf. acuminata concentration variability was explained by the configuration of the sampling site, the wind regime and tide residual flow. Moreover, the relationships of these factors with the concentration of the microalga varied with time, a fact that could not be detected with static regression. Application of dynamic models to phytoplankton time series, especially in a monitoring context, is discussed.
How Social Media Is Changing Crisis Communication Strategies: Evidence from the Updated Literature

By incorporating social media strategies into the traditional framework of crisis communication strategies (CCS), this article presents a comprehensive review of the scholarship on CCS within a global context. Through a content analysis of articles published in 11 journals listed in the Social Science Citation Index (SSCI), 73 articles focusing on the social-mediated crisis management (SMCM) are identified. Findings show that new strategies such as enhancing and transferring from the organizational perspective are added, the stakeholders and their desired strategies are analysed and an asymmetrical CCS pattern from a contextual perspective is proposed within the SMCM research. Results also point out some weaknesses within the current literature. An interactive crisis communication (ICC) model is proposed for future research agenda.
Simulated Quenching Algorithm for Frequency Planning in Cellular Systems

This chapter focuses on a specific application of two Natural Computation (NC)-based techniques: Simulated Quenching (SQ) and Genetic Algorithms (GA): the problem of channels’ assignment to radio base stations in a spectrum efficient way. This task is known to be an NP-complete optimization problem and has been extensively studied in the last two decades. We have decided to include both SQ and GA in the chapter so as o give an academic orientation to this work for readers interested in practical comparisons of NC methods.
Predicting the dispersal of wild Pacific oysters Crassostrea gigas (Thunberg, 1793) from an existing frontier population—a numerical study

Non-native populations of Pacific oysters Crassostrea gigas (Thunberg 1793) are established around the United Kingdom (UK), with two genetically different stocks originating from separate introductions to the UK and France. In this study, we use a coupled biophysical model to simulate Pacific oyster larval transport, in order to investigate the dispersal of the species from a known population near their northern limit on the west coast of the UK (in the Milford Haven Estuary). The model included a pelagic phase, simulating different swimming behaviours, and a settlement phase based on a hydrospatial substrate map. Following successful settlement elsewhere, subsequent releases simulated potential population spread over successive generations. Our results suggest that, should there be sufficiently warm sea temperatures to allow reproduction, dispersal away from Milford Haven Estuary would most be southeast ward towards the Bristol Channel; but dispersal north and west to Ireland is also possible, depending heavily on pelagic swimming behaviour. Seasonal modifications to circulation were less influential. Our study increases understanding of factors that contribute to oyster population spread, and suggests methods for improved management through numerical predictions.
Emotional Intelligence and Self-efficacy of Iranian Teachers: A Research Study on University Degree and Teaching Experience

This study evaluates the level of emotional intelligence, self-efficacy to investigate whether a relationship exists between these two attributes or not, also, the role of years of teaching experience and teachers’ university degrees in their emotional intelligence. To this end, 70 teachers were asked to complete The Assessing Emotions Scale Questionnaire (Salovey and Mayer, 1990) and Teacher Sense of Efficacy Scale (TSES) (Tschannen-Moran & Woolfolk Hoy, 2001), regardless of their English teaching experience. The aim of this study was to represent the importance of emotional intelligence, self-efficacy and in teachers for having an effective teaching. The results indicated a significant relationship between teachers’ EI and their self-efficacy. Moreover, the findings showed that there was a significant relationship between teachers’ EI with their years of teaching experience, in a way that more experienced teachers can benefit their low experienced colleagues with their emotional experiences. Meanwhile, no significant difference was found between teachers’ EI in terms of different university degrees. The research results also proved a positive relationship between EI and self-efficacy.
The rise of the prosumer: an analysis of self-service technology adoption in a corporate context

The adoption of self-service technology (SST) has been well researched in consumer contexts but, despite the existing body of work, few studies have investigated in detail the specific determinants for user satisfaction in a corporate context. This study attempts to address this deficit. The goal of our work is to examine employees’ perception of SST. To do this, four dimensions of the SSTQUAL quality scale (namely (a) functionality; (b) security; (c) design and (d) customization) were adapted to collect data from 182 knowledge workers in a financial services multi-national organization. The findings lead to the following insights. First respondents believe that SSTs can perform the task required in a timely and straightforward manner. They also feel that transactions are safe and secure. However, we learned that, although essential to user satisfaction, respondents have concerns regarding the design and customization of the technology. They believe that the technology employed is not user centric. Furthermore, respondents are not pleased with the layouts or aesthetics of the technology and they feel that the features are not personalized for their specific requirements. The study is important for many reasons. First, it expands the discussion on SST adoption by focusing on the corporate context thus contributing to the body of knowledge in the domain. Second, it captures and analyses real world empirical data and helps bridge the gap between theory and practice. Finally, the findings can help service providers to create effective user driven solutions.
A Spectral View of Adversarially Robust Features

Given the apparent difficulty of learning models that are robust to adversarial perturbations, we propose tackling the simpler problem of developing adversarially robust features. Specifically, given a dataset and metric of interest, the goal is to return a function (or multiple functions) that 1) is robust to adversarial perturbations, and 2) has significant variation across the datapoints. We establish strong connections between adversarially robust features and a natural spectral property of the geometry of the dataset and metric of interest. This connection can be leveraged to provide both robust features, and a lower bound on the robustness of any function that has significant variance across the dataset. Finally, we provide empirical evidence that the adversarially robust features given by this spectral approach can be fruitfully leveraged to learn a robust (and accurate) model.
Cubics in 10 variables vs. cubics in 1000 variables: Uniformity phenomena for bounded degree polynomials

Hilbert famously showed that polynomials in n n variables are not too complicated, in various senses. For example, the Hilbert Syzygy Theorem shows that the process of resolving a module by free modules terminates in finitely many (in fact, at most n n ) steps, while the Hilbert Basis Theorem shows that the process of finding generators for an ideal also terminates in finitely many steps. These results laid the foundations for the modern algebraic study of polynomials. Hilbert’s results are not uniform in n n : unsurprisingly, polynomials in n n variables will exhibit greater complexity as n n increases. However, an array of recent work has shown that in a certain regime—namely, that where the number of polynomials and their degrees are fixed—the complexity of polynomials (in various senses) remains bounded even as the number of variables goes to infinity. We refer to this as Stillman uniformity, since Stillman’s conjecture provided the motivating example. The purpose of this paper is to give an exposition of Stillman uniformity, including the circle of ideas initiated by Ananyan and Hochster in their proof of Stillman’s conjecture, the followup results that clarified and expanded on those ideas, and the implications for understanding polynomials in many variables.
Stock Market Uncertainty and Monetary Policy Reaction Functions of the Federal Reserve Bank

In this paper, we examine the link between stock market uncertainty and monetary policy in the U.S. There are strong arguments as to why central banks should account for stock market uncertainty in their strategies. Amongst others, they can maintain the functioning of financial markets and moderate economic downswings. To describe the behavior of the Federal Reserve Bank, augmented forward-looking Taylor rules are estimated by GMM. The standard specification is expanded by measures of stock market uncertainty. We show that given certain levels of inflation and output, U.S. central bank rates are significantly lower when stock market uncertainty is high and vice versa. This result is valid for all tested measures of financial uncertainty.
Soil moisture‐temperature coupling: A multiscale observational analysis

Land‐atmospheric interactions are complex and variable in space and time. On average soil moisture‐temperature coupling is expected to be stronger in transition zones between wet and dry climates. During heatwaves anomalously high coupling may be found in areas of soil moisture deficit and high atmospheric demand of water. Here a new approach is applied to satellite andin situobservations towards the characterization of regions of intense soil moisture‐temperature coupling, both in terms of climatology and anomalies during heatwaves. The resulting average summertime couplinghot spotsreflect intermediate climatic regions in agreement with previous studies. Results at heatwave‐scale suggest a minor role of soil moisture deficit during the heatwave of 2006 in California but an important one in the 2003 event in Western Europe. Progress towards near‐real time satellite products may allow the application of the approach to aid prediction and management of warm extremes.
Infrared Spectrum and Sites of Action of Sanguinarine by Molecular Mechanics and ab initio Methods

Alkaloids occupy an important position in chemistry and pharmacology. Among the various alkaloids, berberine and coralyne of the protoberberine group, sanguinarine of the benzophenanthridine group, and aristololactam-b -d-glucoside of the aristolochia group have potential to form molecular complexes with nucleic acid structures and have attracted recent attention for their prospective clinical and pharmacological utility. Sanguinarine is an alkaloid studied in the treatment of cancer cell proliferation. Found in several plants, is used in traditional medicine from several countries with Mexico and India in the natural treatment of wounds, conjunctivitis and as hallucinogen. Is a toxic quaternary ammonium salt from the group of benzylisoquinoline alkaloids. It is extracted from some plants, including bloodroot (Sanguinaria canadensis), Mexican prickly poppy ( Argemone mexicana Linn) Chelidonium majus and Macleaya cordata . It is also found in the root, stem and leaves of the opium poppy but not in the capsule. Sanguinarine is a toxin that kills animal cells through its action on the Na+-K+-ATPase transmembrane protein. Due to the diverse properties of this alkaloid, via computational methods was made using quantum chemistry to try to clarify some molecular properties that characterize its main sites of action as a drug. A study was made on a molecular structure of the sanguinarine, by Molecular Mechanics, PM3, Hartree-Fock, Density Functional Theory and Moller-Plesset. For calculations a cluster of six computers was used with Prescott-256 Celeron© D processors. The first principles calculations have been performed to study the equilibrium configuration of Sanguinarine molecule. Several physical properties have been calculated, including formation enthalpies, entropies, dipole moments, and the infrared emission/absorption spectrum. The results showed that the main site of molecular interaction was determined to be the hydrogen atoms. This has a strong antioxidant potential in its structure. It probably interacts with free radicals reducing their carcinogenic effect on cells. A study of the infrared spectrum complemented the paper. Absorption peaks in the infrared spectrum at 1000 cm -1 , for calculation MP2/6-31G and, 1240 and 1450 cm -1 for B3LYP/6-311G ** were obtained. The MP2 and B3LYP methods showed good results for the infrared absorption spectrum. Although the base used in the MP2 method is less accurate, compared to the B3LYP whose base xxx has more accurate and broader functionalities, they are approximately equal for frequency peaks located in the 1060.6 cm -1 and 991.1 cm -1 range.
Weekly variation of the 210Pb air concentration in North Estonia

We performed a gammaspectrometric analysis to determine the content of 210 Pb in aerosol filter samples collected weekly in Harku-Tallinn, North Estonia, in 2001-2005. Activity concentrations varied from 65 μBq m -3 to 2020 μBq m -3 with an arithmetic mean value of 366 μBq m -3 and followed a log-normal distribution with a geometric mean value of 308 μBq m -3 and dispersion factor of 0.52. The mean values were slightly higher than those expected at a location of comparable latitude and longitude. The analysis of monthly averaged concentrations revealed a dominant seasonal variation governed mainly by the origin of intruding air masses: high 210 Pb air concentrations in winter and low values in spring and summer. A multiple linear regression analysis confirms that significant correlations between the 210 Pb concentrations in the surface air and local meteorological parameters are observed only in winter.
The Mediating Role of Change-Specific Cynicism in Relationship between Employees ' Change Perceptions and Turnover Intentions ( Full Paper Submission )

A firm's ability to manage change is a critical dynamic capability today. However, organizational change has generally been associated with negative employee reactions and behaviors. The knowledge that change can be disruptive necessitates an understanding of the critical factors influencing employee outcomes under change. In this study, I examined how employees' perceptions regarding frequency and impact of change influenced change-specific cynicism, and in turn, their turnover intentions under conditions of continuous change. Data were collected from 350 employees in six outsourcing companies in India. Results indicated that employees' change perceptions predicted turnover intentions, and change-specific cynicism fully mediated this relationship.
Radiative transition rates and collision strengths for Si II

Aims. This work reports on radiative transition rates and electron impact excitation collision strengths for levels of the 3s23p, 3s3p2, 3s24s, and 3s23d configurations of . Methods. The radiative data were computed using the Thomas-Fermi-Dirac-Amaldi central potential, but with the modifications introduced by Bautista (2008) that account for the effects of electron-electron interactions. We also introduce new schemes for the optimization of the variational parameters of the potential. Additional calculations were carried out with the Relativistic Hartree-Fock and the multiconfiguration Dirac-Fock methods. Collision strengths in LS-coupling were calculated in the close coupling approximation with the R-matrix method. Then, fine structure collision strengths were obtained by means of the intermediate-coupling frame transformation (ICFT) method which accounts for spin-orbit coupling effects. Results. We present extensive comparisons between the results of different approximations and with the most recent calculations and experiments available in the literature. From these comparisons we derive a recommended set of gf-values and radiative transition rates with their corresponding estimated uncertainties. We also study the effects of different approximations in the representation of the target ion on the electron-impact collision strengths. Our most accurate set of collision strengths were integrated over a Maxwellian distribution of electron energies and the resulting effective collision strengths are given for a wide range of temperatures. Our results present significant differences from recent calculations with the B-spline non-orthogonal R-matrix method. We discuss the sources of the differences.