Miracle-dz/UniFAR-FTUs huggingface dataset:
Sharing Political and Religious Information on Facebook: Coworker Reactions

This study is the first to examine links between social media activity and workplace relationship outcomes. The study examines employees’ perceptions of coworkers who share political and religious information on Facebook. Authors piloted a measure of political and religious information sharing on Facebook (the PRISM-F). Results indicate that employees who frequently post political information on Facebook are less liked by their coworkers. In turn, this reduced liking relates to being less trusted, receiving less help, and receiving lower job performance ratings from coworkers. Religious information sharing was unrelated to these outcomes. Political and religious belief similarity did not moderate the effects of information sharing. This study offers evidence that although engaging in political discourse on Facebook can be tempting, it is associated with potentially negative workplace consequences. Furthermore, organizations may be well served by developing social media policies that caution employees about the potentially negative effects of sharing political information on Facebook.
Discovery of Chlorophyll d in Acaryochloris marina and Chlorophyll f in a Unicellular Cyanobacterium, Strain KC1, Isolated from Lake Biwa

In this review, we described the biological characteristics of a cyanobacterium Acaryochloris marina and a unicellular cyanobacterium strain KC1 and the possible photosynthetic systems of the cells based on the physicochemical properties of chlorophylls. Strain KC1 as well as Acaryochloris spp. in addition to Halomiclonema hongdechloris should contribute the understanding of photosynthesis utilizing far red light.
An analysis of the critical period effects on deaf individuals focusing on the acquisition of verb argument structure: a preliminary study

Background and Aims: Considering the fact that different components of linguistic knowledge are not equally vulnerable, this study investigated the knowledge of argument structure of verbs in a group of deaf Persian speakers, as people who have been deprived of linguistic data during the early years of their childhood that is the critical period of language acquisition. Methods: In this study, the knowledge of verb arguments was examined through two tasks, one written (for 10 verbs) and one pictorial (for 10 verbs), in the two groups of deaf and normal hearing individuals, each of which consisting of 12 participants (6 girls and 6 boys). Results: The analysis of verb argument structure showed that the number of errors in pictorial tests and recognized verb arguments was not significantly different between the groups. However, the main challenge of the deaf participants was attributed to mapping the arguments of the verb onto syntactic level. Conclusion: The results showed that linguistic levels are not equally dependent on the successful experience of the critical period. The syntax level was highly affected by the critical period, while concepts like verb arguments had the least vulnerability.
Quantity-setting Oligopolies in Complementary Input Markets - the Case of Iron Ore and Coking Coal

This paper investigates the benefits of a merger when goods are complements and firms behave in a Cournot manner both in a theoretical model as well as in a real-world application. In a setting of two complementary duopolies a merger between two firms each producing one of the goods always increases the firms’ total profit, whereas the remaining firms are worse off. However, allowing for a restriction on one of the merging firms’ output, we proof that there exists a critical capacity constraint (i) below which the merging firms are indifferent to the merger, (ii) above which the merger is always beneficial and (iii) the lower the demand elasticity is the smaller this critical capacity constraint becomes. Using a spatial multi-input equilibrium model of the iron ore and coking coal markets, we investigate whether our theoretical findings may hold true in a real market as well. The chosen industry example is particularly well suited since (a) goods are complements in pig iron production, (b) each of the inputs is of little use in alternative applications, (c) international trade of both commodities is highly concentrated and (d) a few (large) firms are active in both input markets. We find that due to limited capacity, these firms gain no substantial extra benefit from optimising their divisions simultaneously.
Publicly Funded Education and Human Capital in the Presence of a Convex-Concave Education Function

This study investigates an aggregative optimal grow th model in which short-lived individuals obtain their labour skill through educa tion. The process of human capital formation is described by an increasing, convex-concave educatio n function relating the success rate to the educational expenditure per student. The cost of ed ucation is publicly funded by an income tax imposed on adult workers. Despite the apparent regu larity and rationality of this idealized economy, i t is shown that the existence of the steady state of the model is not guaranteed. In fact, the steady st ate only exists for carefully chosen social time rates of preference. However, the steady state, if it exi sts, is unique and in terms of local stability, a saddle po int.
Truly noiseless probabilistic amplification

Most of the schemes for "noiseless" amplification of coherent states, which have recently been attracting theoretical and experimental interest, share a common trait: the amplification is not truly noiseless, or perfect, for non-zero success probability. While this must hold true for all phase-independent amplification schemes, in this work we point out that truly noiseless amplification is indeed possible, provided that the states which we wish to amplify come from a finite set. Perfect amplification with unlimited average gain is then possible with finite success probability, for example using techniques for unambiguously distinguishing between quantum states. Such realizations require only linear optics, no single-photon sources, nor any photon counting. We also investigate the optimal success probability of perfect amplification of a symmetric set of coherent states. There are two regimes: low-amplitude amplification, where the target amplitude is below one, and general amplification. For the low-amplitude regime, analytic results for the optimal amplification success probabilities can be obtained. In this case a natural bound imposed by the ratio of success probabilities of optimal unambiguous discrimination of the source and amplified states can always be reached. We also show that for general amplification this bound cannot always be satisfied.
The challenge of diagnosing acute pulmonary thromboembolism in patients with chronic obstructive pulmonary disease*

Pulmonary thromboembolism and exacerbation of chronic obstructive pulmonary disease are common conditions. Chronic obstructive pulmonary disease is a clinical risk factor for pulmonary thromboembolism. The presentation of acute pulmonary thromboembolism and acute exacerbation of chronic obstructive pulmonary disease often mimic each other so closely that they cannot be distinguished clinically. The structural abnormalities of the lungs in chronic obstructive pulmonary disease make also difficult to interpret the results of noninvasive tests like ventilation-perfusion lung scans. Therefore, diagnosing acute pulmonary thromboembolism in patients with underlying chronic obstructive pulmonary disease is a challenging task. In order to update knowledge of the subject and offer suggestions regarding conduct, we evaluated various studies addressing this theme, including case reports and case series. In addition, we reviewed diagnostic approaches to acute pulmonary thromboembolism, and we reflect upon that topic. The clinical probability of pulmonary thromboembolism concomitant to chronic obstructive pulmonary disease is typically intermediate, as is positivity on the ventilation-perfusion lung scan. Diagnostic algorithms should take that into consideration.
Attachment representations and therapeutic distancing as constructs in the development of working alliance in drama therapy

This qualitative research project studied the importance of understanding a client's attachment style when introducing drama therapy techniques at various levels of therapeutic distance during the initial stages of therapeutic intervention while establishing a working alliance. Five single mothers of children currently involved in a behavioural intervention program were invited to participate in a drama therapy support group for 1.5 hours weekly for the duration of four sessions. A self-report attachment measure was given prior to the sessions, while distancing was assessed through responses to various drama therapy techniques by client and therapist narratives. Overall, there was a trend of insecure attachment styles among the participants, who appeared to prefer a more overdistanced approach to the therapeutic material. The implications for these findings indicate that understanding a client's attachment style during the initial stages of intervention can offer important information about client anxiety and avoidance. This information can be utilized by the therapist, who can then effectively choose interventions. Subsequently, this research also supports Glass's (2006) notion that commencing interventions, using overdistanced techniques, will help create safety and trust within the drama therapy sessions
Population of herbivores insects on different sides of Caryocar brasiliense (Caryocaraceae) trees in the Brazilian Cerrado region

The goal of this work was to study the distribution of lepidopteran, coleopteran, and hymenopteran herbivores and their natural enemies within the canopy of Caryocar brasiliense (Caryocaraceae) trees in the Brazilian cerrado. We observed thirteen rare, two common, and one constant species of herbivores insects; and three rare, eight common, and one constant species of natural enemies on C. brasiliense. The diversity, number of individuals and species of herbivores, and their natural enemies were similar among the cardinal orientation of the branches of the host tree. However, the number of fruits bored by herbivores was smaller on the south side of the trees. Scraped fruits and Lepidoptera leaf mines were more numerous on the west side of the trees. In the case of natural enemies, ants and predator bugs presented highest abundance on the leaves in the eastern and northern sides of the trees, respectively. We argue that this differential distribution of natural enemies negatively influenced the defoliation and number of leaf mines. We also suggest that the speed and direction of wind may affect the distribution of insect herbivores on the different sides of the trees, with higher populations prevailing on the wind safe sites of the trees. Key words: Beetles, canopy, caterpillars, insect distribution, natural enemies, pequi
Differential coupling of bacterial and primary production in mesotrophic and oligotrophic systems of the East China Sea

Spatial patterns of integrated bacterial production (IBP; 9 to 179 mg C m -2 d -1 ), bacter- ial biomass (IBB; 125 to 658 mg C m -2 ), bacterial turnover rates (Bµ = IBP/IBB; 0.03 to 0.37 d -1 ), pri- mary production (IPP; 18 to 2079 mg C m -2 d -1 ) and hydrographical variables were measured in the continental shelf of the East China Sea (25.4 to 31.6° N, 120.5 to 127.0° E) during summer and autumn 1998. Sea surface temperatures were >21°C in both seasons. The slopes for Log10IBP vs Log10IPP (summer 0.44 ± 0.09, autumn 0.52 ±0.06) and Log10Bµ vs Log10IPP (summer 0.52 ± 0.06, autumn 0.50 ± 0.06) were significant with no seasonal difference. IBB showed no trend with IPP. When data were analyzed by separating the study area into the inner- (surface NO3 >0.25 µM; mesotrophic) and outer- (surface NO3 <0.25 µM; oligotrophic) shelf systems, the slope values of Log10IBP vs Log10IPP derived from the inner-shelf (summer 0.48 ± 0.25, 12 stations; autumn 0.52 ± 0.09, 16 stations) data sets were significantly higher than those of the outer-shelf (summer 0.27 ± 0.13, 20 stations; autumn 0.36 ± 0.11, 26 stations); there was no difference for the slopes between seasons within each system. Mechanisms causing such differential coupling are not clear since this issue has seldom been addressed before. The results implied that care should be taken when analyzing cross-system or large spatial scale data sets. Our study also revealed that the IBP:IPP ratios (4 to 57%) of both seasons showed negative relationships with IPP. Phytoplankton effects on these ratios were dominated con- comitantly by algal turnover rate and biomass on the inner-shelf in summer and then shifted to algal biomass dominated over the whole shelf in autumn. Ecological and biogeochemical implications of our findings are discussed.
Safety Behavior in the Manufacturing Industry in Malaysia : The Role of Personality Traits

The purpose of this paper is to provide a conceptual analysis of personality traits and safety behavior in the manufacturing industry. This paper applies trait theory and five-factor theory to examine the relationship between personality traits and safety behavior. Our conceptual analysis suggests that individuals who possess openness to experience, conscientiousness, extraversion and agreeableness are more likely to demonstrate safety behavior whereas those who possess neuroticism are less likely to demonstrate safety behavior. Given that safety behavior is the most effective element in preventing workplace accidents, this paper provides a theoretical framework which has theoretical implications for future research and offers suggestionsto the manufacturing managers to enhance their employees’ safety behavior.
Skill Demands and Mismatch in U.S. Manufacturing

Recent economic events have sparked debates over the degree of structural mismatch in the U.S. economy. One of the most frequent claims is that workers lack the skills that employers demand. The existing literature, however, analyzes this potential mismatch at a high level of aggregation with abstract indices and noisy proxies that obscure the underlying mechanisms. The authors address these issues by presenting and analyzing results from a survey of U.S. manufacturing establishments. The survey is the first, to their knowledge, to directly measure concrete employer skill demands and hiring experiences in a nationally representative survey at the industry level. The findings indicate that demand for higher-level skills is generally modest, and that three-quarters of manufacturing establishments do not show signs of hiring difficulties. Among the remainder, demands for higher-level math and reading skills are significant predictors of long-term vacancies, but demands for computer skills and other critical-thinking/problem-solving skills are not. Of particular interest, high-tech plants do not experience greater levels of hiring challenges. When the authors examine the potential mechanisms that could contribute to hiring difficulties, they find that neither external regional supply conditions nor internal firm practices are predictive of hiring problems. Rather, the data show that establishments that are members of clusters or that demand highly specialized skills have the greatest probability of incurring long-term vacancies. The authors interpret these results as a sign that it is important to think about factors that complicate the interaction of supply and demand—such as disaggregation and communication/coordination failures—rather than simply focusing on inadequate labor supply.
Fermentation of enzymatically saccharified Brassica compestris stalks for fuel ethanol production by Pichia stipitis NCIM 3498.

Uma Addepally et al/JGTPS/ Volume 4, Issue 3, pp -1208-2017, JulySeptember 2013 1208 Uma Addepally* Assistant Professor Centre for Innovative Research & Centre for Biotechnology, Jawaharlal Nehru Technological University (JNTUH), Hyderabad-85, Andhra Pradesh, INDIA. Phone: 040-27017787 Mobile: + 91-9848120819 E-mail: vedavathi1@gmail.com Address for correspondence FERMENTATION OF ENZYMATICALLY SACCHARIFIED BRASSICA COMPESTRIS STALKS FOR FUEL ETHANOL PRODUCTION BY PICHIA STIPITIS NCIM 3498
A domestic model for successful implementation of enterprise resource planning (ERP) systems in Iranian manufacturing enterprises

Article history: Received July 15, 2011 Received in Revised form September, 12, 2011 Accepted 28 September 2011 Available online 3 October 2011 This research investigates the human-behavioral dimension of technology acceptance in enterprises. It is evident that accepting a technology depends on the underlying circumstances of the environment. We have approached this issue from two different angles of social and technological architecture. The research tries to explore proper enterprise architecture for ERP system acceptance. Social Architecture (SA) is defined as the set of circumstances that makes people behave in a particular way. So behavior of persons (employees of an enterprise) can be a function of SA. Hence acceptance of a system can be dictated by SA and manipulating SA can result in desirable success for a technology system. We have achieved various variables of social architecture and have examined their relevance to system acceptance and success in related enterprises (research domain) beside technological architecture variables . The results have indicated that a special form of social and technological architecture can lead to success for ERP system in the enterprises of the research domain. This gave us a model of architecture. © 2012 Growing Science Ltd. All rights reserved.
Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank

Weak empirical evidence near and at the boundary of the parameter region is a predominant feature in econometric models. Examples are macroeconometric models with weak information on the number of stable relations, microeconometric models measuring connectivity between variables with weak instruments, financial econometric models like the random walk with weak evidence on the efficient market hypothesis and factor models for investment policies with weak information on the number of unobserved factors. A Bayesian analysis is presented of the common issue in these models, which refers to the topic of a reduced rank. Reduced rank is a boundary issue and its effect on the shape of the posteriors of the equation system parameters with a reduced rank is explored systematically. These shapes refer to ridges due to weak identification, fat tails and multimodality. Discussing several alternative routes to construct regularization priors, we show that flat posterior surfaces are integrable even though the marginal posterior tends to infinity if the parameters tend to the values corresponding to local non-identification. We introduce a lasso type shrinkage prior combined with orthogonal normalization which restricts the range of the parameters in a plausible way. This can be combined with other shrinkage, smoothness and data based priors using training samples or dummy observations. Using such classes of priors, it is shown how conditional probabilities of evidence near and at the boundary can be evaluated effectively. These results allow for Bayesian inference using mixtures of posteriors under the boundary state and the near-boundary state. The approach is applied to the estimation of education-income effect in all states of the US economy. The empirical results indicate that there exist substantial differences of this effect between almost all states. This may affect important national and state-wise policies on required length of education. The use of the proposed approach may, in general, lead to more accurate forecasting and decision analysis in other problems in economics, finance and marketing.
Short‐term temporal changes of bare soil CO2 fluxes after tillage described by first‐order decay models

To further understand the impact of tillage on carbon dioxide (CO2) emission, we compare the performance of two conceptual models that describe CO2 emission after tillage as a function of the non‐tilled emission plus a correction resulting from the tillage disturbance. The models assume that C in the readily decomposable organic matter follows a first‐order reaction kinetics equation as and that soil C‐CO2 emission is proportional to the C decay rate in soil, where Csoil(t) is the available labile soil C (g m−2) at any time (t) and k is the decay constant (time−1). Two possible relationships are derived between non‐tilled (FNT) and tilled (FT) soil fluxes: (model 1) and (model 2), where t is time after tillage. The difference between these two models comes from an assumption related to the k factor of labile C in the tilled plot and its similarity to the k factor of labile C in the non‐till plot. Statistical fit of experimental data to conceptual models showed good agreement between predicted and observed CO2 fluxes based on the index of agreement (d‐index) and with model efficiency as large as 0.97. Comparisons reveal that model 2, where all C pools are assigned the same k factor, produces a better statistical fit than model 1. The advantage of this modelling approach is that temporal variability of tillage‐induced emissions can be described by a simple analytical function that includes the non‐tilled emission plus an exponential term, which is dependent upon tillage and environmental conditions.
Transcriptomes of Populus lines modified in Pectin methylesterase expression reveal activation of oxidative stress signaling pathways

Pectin methylesterases (PMEs) catalyze the demethylesterification of cell wall polygalacturonans, and this is thought to play important roles in cell wall extensibility and intercellular adhesion. In addition, PMEs influence many physiological processes, such as stem elongation, root development, fertilization, fruit softening, and xylogenesis. This study focuses on establishing gene expression profiles for transgenic poplar (Populus tremula L. x P. tremuloides Michx.) lines, over-expressed (PME 2B and PME 7) and suppressed (PME 5 and PME 6N), in the expression of PME1. Employment of a transcriptomic approach; spotted poplar cDNA 25 K microarrays, allowed for a simultaneous analysis of about 17,000 genes, gaining insight into effects on plant cell metabolism. A concluding remark of the outcome of the microarray experiment was rejection of the hypothesis that lignin biosynthesis is regulated on a transcriptional level, even though the lignin content was altered, as demonstrated by previous molecular characterizations. Thus, to connect lignification with pectin modification machinery, alternative hypothesis were tested and revealed a higher abundance of H2O2 and peroxidases in the PME over-expressing lines, compared to wild-type line, confirming a positive correlation between the lignin content, H2O2, and peroxidase activity. Furthermore, the up-regulation of a callose synthase gene in the xylem of one suppressed line; in addition to formation of tyloses, as a reaction of PME suppression, indicated a putative defense response. Many other genes involved in oxidative stress responses were observed significantly affected in transgenic lines. This unexpected result implicated activation of signaling cascades and signal transduction through critical stress pathways such as the salicylic acid, jasmonate and ethylene pathways. It might be speculated that the stress signaling was triggered by the elicitor oligogalacturonic acid (OGA), derived from the cell wall, as a result of its altered chemical composition, and that the lines may exhibit an increased pathogen/stress resistance.