Miracle-dz/UniFAR-FTUs huggingface dataset:
SPECIES DETERMINATION OF GREEN ALGAE ISOLATEDFROM JEPARA COASTAL REGIONBASED ON MICROBIOLOGICAL, ECOPHYSIOLOGICAL ANDMOLECULAR CHARACTERIZATIONFOR IMPROVEMENT OF CAROTENOID PRODUCTION

A local isolate of green algae called C1 from Jepara waters is usually used as a source for carotenoid supplement for animal fisheries in the local area. This indigenous algae has been successfully purificated. Although the local isolate was known as eucaryotic green algae Dunaliella, our previous molecular study by 18S rDNA analysis to determine the species of this organisms showed negative result. In order to improve carotenoid production especially detection of biosynthetic pathway from the organisms investigated in this study, the main purpose of this study was species determination of local isolate of green algae based on microbiologycal, ecophysiologycal and molecular characterization. The results of this research indicated that local isolate of green algae posseses Cyanobacteria characteristic, especially Synechocystis. Analyses with 16S rDNA sequence from genome of green algae isolates were also in accordance with these results, showing close similarities with Synechocystis 16S rDNA sequence. However, it should be noted that, instead of having Synechocystis dominant feature, it was also found that local isolate of green algae exhibit different characteristic in having chlorophyll a, chlorophyll b and lack of phycobillins. This character was typical for abberant Cyanophyta, Prochlorophyta.
Measuring senescence in wild animal populations: towards a longitudinal approach

Summary 1A major current challenge in ageing research is to understand why senescence rates vary between individuals, populations and species in wild populations. 2Recent studies clearly illustrate that senescent declines in key demographic and life-history traits can be observed in many wild animal systems. 3Here, we summarize the key challenges facing researchers working to understand senescence in the wild. We concentrate on: (i) limited data availability, (ii) the substantial individual heterogeneity typical of wild populations, (iii) incomplete capture histories, and (iv) trade-offs across the life span. 4We discuss analytical methods to overcome these challenges. We advocate the use of Capture–Mark–Recapture models to remove likely bias associated with re-sampling rates of less than one. We also illustrate that ageing trajectories may vary between different traits in wild populations. Wherever possible, researchers should examine ageing patterns in multiple traits. 5Numerous models are available to describe the rate and shape of senescence in free-living populations, but there is currently little consensus regarding which is most appropriate in analyses of wild organisms. 6We argue that only longitudinal studies of marked or recognizable individuals provide reliable sources of information in the study of senescence. Senescence is a within-individual process and only longitudinal studies allow researchers to separate within-individual ageing patterns from between-individual heterogeneity. 7We examine two analytical approaches to measure ageing using longitudinal data from wild populations: a jack-knifing approach, well-suited to modelling survival probability, and a mixed-effects model approach. Both methods control for sources of between-individual heterogeneity to allow more accurate measurement of within-individual ageing patterns.
Variability and Correlation between the Seed Yield and its Component in Alfalfa (Medicago sativa L.) Populations under Dry Land Farming System, Hamadan, Iran

In order to study the variation for seed yield and its components, 200 accessions of alfalfa (Medicago sativa L.) were sown as drilled plots, using alpha designs/unreplicated with two repeated entries with in all of 10 blocks under dry land farming system in Kabodarahang Research Station, Hamadan, Iran, during 2010 to 2011. Data were analyzed for descriptive statistics, correlation, regression, path analysis, factor analysis and cluster analysis. Results showed considerable variation for all of traits. The best 20 entries were identified. Among them, Cody, Kerissary, Italian, Australian, Hamadani, Bami, Jirofti and Faridonshahr with average values of 900 to 1250 kg ha -1 forage yield and 85 to 107 kg ha -1 seed yield were introduced for breeding improved synthetic varieties. Results of correlation analysis showed that DM yield was positively correlated with node number, plant height, stem number, vegetation score, seed yield, and pod weight. Similarly, seed yield had positive correlation with pod weight, DM yield, vegetation score and plant height. Results of path analysis showed that DM yield and pod yield had higher direct and total effects on seed yield. Results of factor analysis were accounted for 77% of total variation for first five factors. Factor 1 which was accounted for 25% of variation was associated with DM yield, seed yield and pod yield. This factor was regarded as productive factor. Factor 2 accounted for 14% of variation was known as stem elongation factor, since it was included for plant height and node number. Based on ward cluster analysis method, 200 entries were divided into 5 groups. Accessions in cluster 4 were averaged well above the overall mean for DM and seed yield. The results of this study indicated that selection of variables in productivity factor (factor1 and cluster 4) could enable breeders to release the desirable increment in forage yield of alfalfa.
ISRN LUTFD 2 / TFRT-- 5747-- SE Logarithmic Concave Observers

The problem of (online) state estimation for dynamical systems arises frequently in control. The well known Kalman Filter comprises a coherent theory for the case of linear systems with Gaussian noise, but as soon as either condition is relaxed the picture becomes much less clear. This thesis investigates the case when process disturbances and measurements are relaxed from Gaussian to log-concave. The range of systems that can be analyzed is broadened while still retaining enough structure that many desirable properties are preserved. Strongly log-concave functions are introduced as a means to quantify the Gaussian-like properties of log-concave functions. The main contribution of the thesis is two fundamental theorems, one giving a bound on covariance and the other describing how (strong) logconcavity is preserved and propagated. Applying the theorems to log-concave observers, they are found to have much in common with the Kalman Filter. It is shown that a Kalman Filter can be constructed that gives a conservative bound on the error covariance of the log-concave Bayesian Observer. Event based control is one case where measurements are far from (uncorrelated) Gaussian, but often log-concave. An example of control and state estimation for such a system is pursued throughout the thesis. Using proper consideration a Kalman Filter is found that gives a reasonable approximation of the optimal log-concave observer.
Individualistic Aptitude and Biofeedback on Improvement of Coordination in Young Athletes

Sports cognition encompasses the primary affective-motivational aspect related to primordial fight-or flight responses, which are essentially the precursors for both the BAS (behavioural activation system - the reward system) and BIS (behavioural inhibition system- the punishment or fear-eliciting system). In Asian and especially South-Asian perspective, impulsivity and aggressive out-bursts are by and large considered as conduct disorders, thus more acceptable docile tendency in children and pre-adolescent lead them to a cognitive-motivational make-up of BIS orientation. With such a background the present study was carried out to identify the extent of cognitive-affective competence of the skilled competitive players in enhancing bilateral motor coordination required for high sport performance. Eighty-one high performing female ball game players matched with their performance-specific motor coordination ability, were categorised into three differential groups based on their psychobiological competence, viz; Group A- consisted of twenty-seven players diagnosed with moderate level of sympathovagal balance; Group B (N = 27) – consisted of twenty-seven players diagnosed with discordant sympathovagal balance, while Group C (n = 27) were identified as having high sympathovagal balance. Thereafter, players of Group B & C were introduced to training of skin-conductance biofeedback tailored for musculoskeletal enhancement (20 min.s/ day; three days/ week for twelve weeks). Mid-term analyses of motor coordination as well as the post-intervention analyses (carried out after the twelfth week) revealed that players having higher sympathovagal balance had higher efficiency in modulation of muscle tension as well as in perceptual –motor adaptation, which have prompted them to have enhanced bilateral and visual-motor coordination compared to their counterparts.
Factors Influencing the Whistleblowing Behaviour: A Perspective from the Theory of Planned Behaviour

Research aim: This study aims to analyse the factors that influencethe whistleblowing behaviour of auditors in the public sector byemploying the Theory of Planned Behaviour.Design/ Methodology/ Approach: A survey involving 125 governmentauditors working in the auditor board in Bali, Indonesia isconducted. The data collected are analysed through StructuralEquation Modeling (SEM). Research findings: Results indicate that perceived behaviouralcontrol plays a significant role on the whistleblowing intention andbehaviour of the whistleblowers. However, their attitude towardswhistleblowing and their subjective norms are found to haveinsignificant effects on the whistleblowing intention. This study alsofinds a positive relationship between whistleblowing intention andwhistleblowing behaviour.Theoretical contribution/ Originality: Despite the vast literatureon whistleblowing behaviour, this phenomenon has not been wellresearchedin the context of Indonesia. In that regard, this studyhopes to fill the gap by investigating this issue from the Indonesiangovernment auditors’ perspective.Practitioner/ Policy implication: This research is expected to benefitthe regulators and audit firms that are striving to enhance the ethicalityof their auditors. In that regard, it also facilitates in protecting the country from abusive and corrupted practices which can cause lossesfor the country.Research limitation/ Implications: While whistleblowing behaviourmay be influenced by numerous factors, this study only considersthe individual factors. Hence, future research should incorporateorganisational, situational, and demographics factors in investigatingthe issue.Keywords: Auditor, Behaviour, Corruption, Fraud, WhistleblowingJEL Classification: M40
Pseudo-real principal Higgs bundles on compact Kaehler manifolds

Let $X$ be a compact connected Kahler manifold equipped with an anti-holomorphic involution which is compatible with the Kahler structure. Let $G$ be a connected complex reductive affine algebraic group equipped with a real form $\sigma_G$. We define pseudo-real principal $G$--bundles on $X$; these are generalizations of real algebraic principal $G$--bundles over a real algebraic variety. Next we define stable, semistable and polystable pseudo-real principal $G$--bundles. Their relationships with the usual stable, semistable and polystable principal $G$--bundles are investigated. We then prove that the following Donaldson--Uhlenbeck--Yau type correspondence holds: a pseudo-real principal $G$--bundle admits a compatible Einstein-Hermitian connection if and only if it is polystable. A bijection between the following two sets is established: 1) The isomorphism classes of polystable pseudo-real principal $G$--bundles such that all the rational characteristic classes of the underlying topological principal $G$--bundle vanish. 2) The equivalence classes of twisted representations of the extended fundamental group of $X$ in a $\sigma_G$--invariant maximal compact subgroup of $G$. (The twisted representations are defined using the central element in the definition of a pseudo-real principal $G$--bundle.) All these results are also generalized to the pseudo-real Higgs $G$--bundle.
Natural product inhibitors of acetyl-lysine erasers in the prevention and treatment of heart failure

Background: Heart failure (HF) is a major public health concern, with five-year mortality rates following first admission for HF being approximately 50%, thereby stressing the need for novel therapeutic approaches. Histone deacetylases (HDACs) govern lysine acetylation of histone tails that regulates nucleosmal DNA. HDAC inhibitors have emerged as efficacious therapies in pre-clinical models of HF. Interest in diet-gene interactions has given rise to the study of ‘food bioactives’ as epigenetic regulators of gene expression that control human health and disease. These reports demonstrate that bioactive food compounds regulate epigenetic marks that link diet to gene regulation. In fact, others have also shown that bioactive compounds can target HDACs for inhibition; accordingly, bioactive food compounds offer unique opportunities for therapeutic intervention and prevention of heart failure. Lastly, there is emerging interest into how these food bioactives function together or as additives within foods ‘functional foods’ to regulate epigenetic disease. This review will highlight bioactive compound HDAC inhibitors and their role in the heart. Keywords: acetylation, bioactive compounds, dietary HDAC inhibitors, HDACs, histone deacetylases
Emittance growth due to the field asymmetry in the TTF RF gun

This paper reports the effect on the transverse emittance of the multi-pole field components due to the input coupler of the TTF RF gun. ASTRA simulations with 3D fields from CST MicroWave Studio (MWS) are presented for a typical operation of the Fermilab photo-injector at 1 nC.
A Palimpsest of Diné Voices

Please take a moment to share how this work helps you through this survey. Your feedback will be important as we plan further development of our repository. Follow this and additional works at: https://ideaexchange.uakron. edu/docam Part of the Critical and Cultural Studies Commons, Gender, Race, Sexuality, and Ethnicity in Communication Commons, Information Literacy Commons, and the Interpersonal and Small Group Communication Commons
Effects of CA Treatment and Temperature on Broccoli Colour Development

Broccoli combines high contents of vitamins, fibres and glucosinolates with a low calorie count and is sometimes referred to as the 'crown jewel of nutrition'. Colour is one of the most important quality attributes of broccoli, and yellowing due to senescence of broccoli florets is the main external quality problem in the broccoli supply chain. Controlled Atmosphere (CA) is a very effective method to maintain broccoli quality but the effects of CA on colour retention have not been studied extensively. The aim of this paper is to characterise the colour behaviour (measured by RGB colour image analysis) of broccoli as affected by CA and temperature. Data on colour behaviour and gas exchange were gathered for broccoli heads that were stored in containers at three temperatures and subjected to four levels of O 2 and three levels of CO 2 . Gas conditions and temperature have a clear effect on the colour change of broccoli especially at low O 2 in combination with high CO 2 . An integrated colour model is proposed that combines a colour model with a standard gas exchange model. The colour model is based on three differential equations describing the formation of (blue/green) chlorophyllide from the colourless precursor, the bidirectional conversion of chlorophyllide into (blue/green) chlorophyll, and the decay of chlorophyllide. During the first step of building the integrated model, gas exchange data were analysed simultaneously using multi response regression analysis. No fermentation was encountered for this batch of broccoli. During the second step it was found that only one of the reactions of the colour model, the decay of chlorophyllide, is affected by the gas conditions. In the final step, a multi-response approach was applied where gas exchange parameters were estimated using the gas exchange model, the colour parameters were estimated using the colour model with both models linked via the reaction rate constant affected by the gas conditions. Such a calibrated, integrated, model could be used as a tool for predicting colour change in the postharvest chain.
Bayes Estimates of Time to Organic Certification

The adoption of organic production has increased dramatically over recent years, especially in less developed countries. However, little information is available about who adopts, the difficulties they face in converting and how these factors vary over time. Using small-scale avocado producers (<15ha) from Michoacan, Mexico as a case study, this paper explores the factors affecting the time-to-adoption of organic production and certification, drawing from five parametric descriptions of the data. These models are implemented using a Bayesian approach and advances in Markov chain Monte Carlo methods. The results indicate that additional sources of income, together with membership of producers associations, higher levels of education and experience of export markets, other than the US, have a positive effect on the adoption decision. Labour requirements and administrative capacity appear to be unimportant, while information sources and the frequency of contact with these sources have a varied, but largely negative effect on the probability of adoption. These findings raise a number of questions about the future of organic production in Mexico and the avocado zone, not least how to overcome credit and information constraints, but more importantly whether aiming for the organic market is a viable production strategy for small-scale producers.
Measuring social proximity in the geography of innovation: application for the French science-industry collaborations study

Considering the role of interpersonal ties in the formation of innovation partnerships, the concept of social proximity has been increasingly used these recent years for the analysis of the geography of innovation. Nevertheless, the existing works reveal problems of measurement that prevent determining the precise weigh of social proximity in the partnerships build-up and deducing its effect on the geography of innovation. Our purpose is to fill in this gap by defining precisely social proximity as a modality of partners networking. On this basis, we propose an original method for empirically tracking the weigh and effects of social proximity, and we apply it to more than 200 cases of French science-industry collaborations. The combination of qualitative and quantitative approaches to construct and analyze relational data makes it possible to reaffirm both the significant and stable role of interpersonal ties and its significant but variable effect on the geography of partnerships.
Dual‐Inverter Circuit Topologies for Supplying Open‐Ended Loads

Power electronic converters are nowadays the most suitable solution to provide a variable voltage/current in industry. The most commonly used power converter is the three-phase two-level voltage source inverter which transforms a direct-current input voltage into alternating-current output voltage with adjustable magnitude and frequency. Power inverters are used to supply three-phase loads which are typically connected in wye or delta configurations. However, in previous years, a type of connection consisting on leaving both terminal ends of the load opened has been studied as an alternative to standard wye or delta connection. To supply loads with this type of connection, two power inverters (one at each terminal end of the load) are required in a circuit topology called dual-inverter. In this chapter, a general study of the dual-inverter topology is presented. The advantages and issues of such converter are studied and different modulation strategies are shown and discussed. Moreover, multilevel dual-inverter converters are presented as an extension to the basic two-level idea. For evaluation purposes, simulations results are presented.
Basic Mechanism of Hyperbaric Oxygen in Infectious Disease

Hyperbaric oxygen therapy (HBOT) is the inhalation of 100 percent oxygen inside a hyperbaric chamber that is pressurized to greater than 1 atmosphere (atm). HBOT causes both mechanical and physiologic effects by inducing a state of increased pressure and hyperoxia. HBOT is typically administered at 1 to 3 atm. While the duration of an HBOT session is typically 90 to 120 minutes, the duration, frequency, and cumulative number of sessions have not been standardized. HBO has been use widely in treating gangrene diabetic, stroke, osteomyelitis and accelerating wound healing. The use of HBO in infectious disease is wide, so the mechanism of hyperbaric oxygen in infectious disease should be well-understand. This understanding could bring the proper and wise management of infectious disease and to prevent the side effect of each therapy.
Lack of association between endothelial nitric oxide synthase glu298Asp variation, visceral obesity and insulin related phenotypes in Turkish type 2 diabetic patients

Nitric oxide (NO) is an endothelium derived relaxing factor(EDRF) important in regulating heart-vessel physiology. Theobjective of this study was to investigate whether the eNOSgene Glu298Asp variation influenced the lipid parameters,visceral obesity, insulin related phenotypes and type 2 diabetesmellitus (T2DM) development, for the first time in a Turkishstudy group. We analyzed the the eNOS gene Glu298Aspgenotype frequencies in 115 type 2 diabetic and 68 healthycontrol subjects. Serum lipids and insulin-related phenotypeswere also analyzed. No significant difference for genotypicfrequencies was observed for the Ban II (Eco241) restrictionsite in T2DM patients as compared to controls. eNOSGlu298Asp polymorphism was not found to affect visceralobesity and insulin related phenotypes. However, T2DM patientswith Asp/Asp genotype were found to have lower hepaticinsulin sensitivity (HIS) in comparison to Glu/Glu. Inhealthy controls, the insulin and HOMA levels were foundto be lower in Glu/Asp genotype with respect to Glu/Glugenotype carriers (p>0.05). In T2DM patients, visceral obesitywas observed in higher frequencies with Asp/Asp genotype,in comparison to Glu/Glu genotype. eNOS Glu298Asppolymorphism was not found to affect serum lipid levels inthe T2DM group. However in the control group, lower serumapoB levels were observed in Asp/Asp genotype carriers incomparison to Glu/Glu genotype (p ≤ 0.05). The eNOS geneGlu298Asp polymorphism was not found to be associatedwith T2DM in the present study group. Although not significant,since the eNOS Glu298Asp genotypes were found tobe related to HIS, insulin, HOMA and visceral obesity in thepresent study, further studies on larger samples are needed toexplore the exact role of eNOS Glu298Asp polymorphism ininsulin related phenotypes and visceral obesity.
Thankworthy Parental Altruism and Children's Habit-Formation

We propose a model of parental altruism in relation with child habit formation, where children are unaware of their developing habits while young, and become cognizant of them only on growing up. We show that an altruistic mother (i) maintains the amount of income transferred to her child lower than the child would desire and (ii) reduces further income transfer upon an exogenous increase in the child's performance of a particular habit. The child, when grown, may end up grateful for the small income transfer if the mother is sufficiently rich and altruistic: when evaluated by the realized habitual preferences, a small income transfer leads to greater child welfare than the greater income transfer preferred by the child would have generated. This implies that parents from richer families, ceteris paribus, tend to guard against their children's profligacy.