Miracle-dz/UniFAR-FTUs huggingface dataset:
A study on significant microbial interaction leading to decolorization and degradation of textile dye Rubine 3GP

The present study evaluates an obligatory interaction between the yeast Saccharomyces cerevisiae NCIM 3312 and the bacterium Pseudomonas sp. strain BCH3 for the biodegradation of the dye Rubin 3GP (R3GP). No significant degradation of R3GP was observed either by Saccharomyces cerevisiae NCIM 3312 or by Pseudomonas sp. strain BCH3, when both the cultures were tested individually under their respective optimum medium conditions. However, when both of them were allowed to intermingle with each other, R3GP was found to be degraded within 72 h, with a steady increase in β ‐1,3‐glucanase, chitinase and protease activity in the culture supernatant; indicating the possible role of Pseudomonas sp. strain BCH3 in cell wall lysis of S. cerevisiae NCIM 3312. The present study elucidates a rare microbial interaction where the bacterium Pseu‐domonas sp. strain BCH3 utilizes lysed yeast cells as the sole source of nutrients for its own growth and subsequently performs decolorization and degradation of R3GP. Enzymatic status showed involvement of various oxidoreductive enzymes like lignin peroxidase, laccase, DCIP reductase and azo reductase, indicating their role in decolorization and degradation of R3GP. Degradation was confirmed using HPLC, FTIR analysis and the biochemical pathway of degradation was elucidated by using GC‐MS analysis. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Stabilizing Quantum States and Automatic Error Correction by Dissipation Control

In this technical note an extended scalability condition is proposed to achieve the ground-state stability for a class of multipartite quantum systems which may involve two-body interactions, and an explicit procedure to construct the dissipation control is presented. Moreover, we show that dissipation control can be used for automatic error correction in addition to stabilization. We demonstrate the stabilization and error correction of three-qubit repetition code states using dissipation control.
A methodological approach to supporting organizational learning

Many organizations need to respond quickly to change and their workers need to regularly develop new knowledge and skills. The prevailing approach to meeting these demands is on-the-job training, but this is known to be highly ineffective, cause stress and devalue workplace autonomy. Conversely, organizational learning is a process through which workers learn gradually in the work context through experience, reflection on work practice and collaboration with colleagues. Our approach aims to support and enhance organizational learning around enriched work representations. Work representations are tools and documents used to support collaborative working and learning. These are enriched through associations with formal knowledge models and informal discourse. The work representations, informal discourse and associated knowledge models together form on organizational memory from which knowledge can be retrieved later. Our methodological approach to supporting organizational learning is drawn from three industrial case studies concerned with machine maintenance, team planning and hotline support. The methodology encompasses development and design activities, a description of the roles and duties required to sustain the long-term use of the tools, and applicability criteria outlining the kind of organizations that can benefit from this approach.
Effects of Substrate Warming on Sessile Marine Invertebrate Communities in Monterey Bay , California

EFFECTS OF SUBSTRATE WARMING ON SESSILE MARINE INVERTEBRATE COMMUNITIES IN MONTEREY BAY, CALIFORNIA By Stephen Loiacono Increasing average global sea temperatures are one of the most direct and alarming consequences of climate change, yet it is still unclear how sessile marine communities will respond in the nearand long-term. In addition, it is unclear if warming ocean temperatures will facilitate marine invasions or primarily benefit native species. To simulate the effects of increasing ocean temperatures on sessile communities, heated settlement plates (n=7) were used in an in situ field experiment to investigate how an increase in substrate temperature (2.5°C above ambient) would affect recruitment and community development as compared to unheated control plates (n=9). Experimental treatments were deployed in the municipal harbor of Monterey, California, which was characterized by an assemblage reflecting a mix of native and invasive species (mainly bryozoans, sponges, tunicates, and tube worms). Following three months of community development in the field, heated plates experienced significantly higher rates of initial recruitment, 33% increase in wet weight, increased percent cover of native and invasive species, and an increase of species with both historically southern and northern range limits. This study reinforces the need for in situ experimentation to understand the effects of temperature on the dynamics shaping marine communities. In situ studies are valuable because they incorporate all ambient factors and are therefore a more reliable predictor for defining the consequences of
17β-Estradiol Promotes TLR4-Triggered Proinflammatory Mediator Production through Direct Estrogen Receptor α Signaling in Macrophages In Vivo

17β-estradiol (E2) has been shown to promote the expression of inflammatory mediators by LPS-activated tissue resident macrophages through estrogen receptor α (ERα) signaling. However, it remained to be determined whether E2 similarly influences macrophages effector functions under inflammatory conditions in vivo, and whether this action of E2 resulted from a direct effect on macrophages. We show in this study that chronic E2 administration to ovariectomized mice significantly increased both cytokine (IL-1β, IL-6, and TNF-α) and inducible NO synthase mRNA abundance in thioglycolate (TGC)-elicited macrophages. The proinflammatory action of E2 was also evidenced at the level of released IL-1β and IL-6 by ex vivo LPS-activated macrophages. E2 concomitantly inhibited PI3K activity as well as Akt phosphorylation in TGC-elicited macrophages, suggesting that E2 promoted TLR-dependent macrophage activation by alleviating this suppressive signaling pathway. Indeed, this effect was abolished in the presence of the inhibitor wortmannin, demonstrating a key functional link between inhibition of PI3K activity and the E2 action on macrophage functions. Endogenous estrogens levels circulating in ovary-intact mice were sufficient to promote the above described actions. Finally, thanks to a CreLox strategy, targeted disruption of ERα gene in macrophages totally abolished the effect of E2 on the expression of inflammatory mediators by both resident and TGC-elicited peritoneal macrophages. In conclusion, we demonstrate that estrogens, through the activation of ERα in macrophages in vivo, enhance their ability to produce inflammatory mediators and cytokines upon subsequent TLR activation.
Computational Studies of Connections of Spatial Composite Structures of Space-Rocket Techniques

Objectives: Actuality of the study is determined by a number of technical optimization problems due to singularity of designed objects in creation of large space structures. A characteristic feature of such problems is a combination of requirements for increasing of dimensions and providing sufficient stiffness and reliability in response to minimum mass optimization of load-bearing structure weight. This article discusses the combination of such details of construction as metal bushing and carbon tube by means of a heat-resistant polyurethane adhesive VK-20 modified by carborane compounds. Studies consist of calculation of stress-strain state of adhesive joint to determine the shear and breaking stresses in the contact area between the bonding parts. Assessment of failure-free operation of adhesive joint is also conducted during these studies. Methods: Computational studies of connections for manufacture of spatial composite structures of rocket and space techniques have been conducted by finite element analysis. Findings: Simulation of stress-strain state and assumptions adopted during simulation were described. Improvements: Calculations of stress-strain state have been conducted for model of spatial composite structure of space-rocket techniques.
A meshless method for solving the free boundary problem associated with unilateral obstacle

In this paper, we discuss the numerical method for solving the first kind of elliptic variational inequality. We first use the fundamental solution as the basis function to approximate the solution of variational inequality, then we employ Uzawa's algorithm to determine the free boundary and the solution. Numerical examples are given to verify the efficiency of the method.
Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers

Trends towards consolidation and higher-density computing configurations make the problem of heat management one of the critical challenges in emerging data centers. Conventional approaches to addressing this problem have focused at the facilities level to develop new cooling technologies or optimize the delivery of cooling. In contrast to these approaches, our paper explores an alternate dimension to address this problem, namely a systems-level solution to control the heat generation through temperature-aware workload placement. We first examine a theoretic thermodynamic formulation that uses information about steady state hot spots and cold spots in the data center and develop real-world scheduling algorithms. Based on the insights from these results, we develop an alternate approach. Our new approach leverages the non-intuitive observation that the source of cooling inefficiencies can often be in locations spatially uncorrelated with its manifested consequences; this enables additional energy savings. Overall, our results demonstrate up to a factor of two reduction in annual data center cooling costs over location-agnostic workload distribution, purely through software optimizations without the need for any costly capital investment.
Testing for causal e ffects in a generalized regression model with endogenous regressors

A unifying framework to test for causal effects in nonlinear models is proposed. We consider a generalized linear-index regression model with endogenous regressors and no parametric assumptions on the error disturbances. To test the significance of the effect of an endogenous regressor, we propose a statistic that is a kernel-weighted version of the rank correlation statistic (tau) of Kendall (1938). The semiparametric model encompasses previous cases considered in the literature (continuous endogenous regressors (Blundell and Powell (2003)) and a single binary endogenous regressor (Vytlacil and Yildiz (2007))), but the testing approach is the first to allow for (i) multiple discrete endogenous regressors, (ii) endogenous regressors that are neither discrete nor continuous (e.g., a censored variable), and (iii) an arbitrary “mix” of endogenous regressors (e.g., one binary regressor and one continuous regressor).
Single-View 3D Scene Parsing by Attributed Grammar

In this paper, we present an attributed grammar for parsing man-made outdoor scenes into semantic surfaces, and recovering its 3D model simultaneously. The grammar takes superpixels as its terminal nodes and use five production rules to generate the scene into a hierarchical parse graph. Each graph node actually correlates with a surface or a composite of surfaces in the 3D world or the 2D image. They are described by attributes for the global scene model, e.g. focal length, vanishing points, or the surface properties, e.g. surface normal, contact line with other surfaces, and relative spatial location etc. Each production rule is associated with some equations that constraint the attributes of the parent nodes and those of their children nodes. Given an input image, our goal is to construct a hierarchical parse graph by recursively applying the five grammar rules while preserving the attributes constraints. We develop an effective top-down/bottom-up cluster sampling procedure which can explore this constrained space efficiently. We evaluate our method on both public benchmarks and newly built datasets, and achieve state-of-the-art performances in terms of layout estimation and region segmentation. We also demonstrate that our method is able to recover detailed 3D model with relaxed Manhattan structures which clearly advances the state-of-the-arts of single-view 3D reconstruction.
Enhancement of Neocortical-Medial Temporal EEG Correlations during Non-REM Sleep

Interregional interactions of oscillatory activity are crucial for the integrated processing of multiple brain regions. However, while the EEG in virtually all brain structures passes through substantial modifications during sleep, it is still an open question whether interactions between neocortical and medial temporal EEG oscillations also depend on the state of alertness. Several previous studies in animals and humans suggest that hippocampal-neocortical interactions crucially depend on the state of alertness (i.e., waking state or sleep). Here, we analyzed scalp and intracranial EEG recordings during sleep and waking state in epilepsy patients undergoing presurgical evaluation. We found that the amplitudes of oscillations within the medial temporal lobe and the neocortex were more closely correlated during sleep, in particular during non-REM sleep, than during waking state. Possibly, the encoding of novel sensory inputs, which mainly occurs during waking state, requires that medial temporal dynamics are rather independent from neocortical dynamics, while the consolidation of memories during sleep may demand closer interactions between MTL and neocortex.
Fetal ECG Extraction by Extended State Kalman Filtering Based on Single-Channel Recordings

In this paper, we present an extended nonlinear Bayesian filtering framework for extracting electrocardiograms (ECGs) from a single channel as encountered in the fetal ECG extraction from abdominal sensor. The recorded signals are modeled as the summation of several ECGs. Each of them is described by a nonlinear dynamic model, previously presented for the generation of a highly realistic synthetic ECG. Consequently, each ECG has a corresponding term in this model and can thus be efficiently discriminated even if the waves overlap in time. The parameter sensitivity analysis for different values of noise level, amplitude, and heart rate ratios between fetal and maternal ECGs shows its effectiveness for a large set of values of these parameters. This framework is also validated on the extractions of fetal ECG from actual abdominal recordings, as well as of actual twin magnetocardiograms.
Exchange Rate Dynamics, Asset Market Structure and the Role of the Trade Elasticity

This paper shows that a canonical flexible price international real business cycle model with incomplete financial markets can address the exchange rate volatility puzzle, the exchange rate persistence puzzle, the consumption real exchange rate anomaly, as well as the quantity anomaly. Crucial for the success of the model is the choice of the elasticity of substitution between home and foreign produced goods. The paper shows that the range of this parameter which allows the model to address these international macroeconomics anomalies is very narrow. Furthermore, the paper highlights an anomalous relationship between real exchange rate persistence and the elasticity of substitution between home and foreign-produced goods.
Measurement of Cerebral Perfusion after Zolpidem Administration in the Baboon Model

Summary A recent report showed that zolpidem (CAS 82626-48-0) can lead to the arousal of a semi-comatosed patient. Zolpidem is clinically used for the treatment of insomnia. It belongs to the imidazopyridine chemical class and is a non benzodiazepine drug. It illicits its pharmacological action via the GABA receptor system through stimulation of particularly the ω1 receptors. In this study, the effect of zolpidem on brain perfusion was examined by 99mTc hexamethyl-propylene amine oxime (HMPAO) split dose brain SPECT on four normal baboons and in one baboon with abnormal neurological behaviour. The global and regional brain perfusion was not significantly affected in the normal brains. In some regions of the abnormal baboon brain, however, there was a disproportionate increase in perfusion after zolpidem.
Sharing annotations better: RESTful Open Annotation

Annotations are increasingly created and shared online and connected with web resources such as databases of real-world entities. Recent collaborative efforts to provide interoperability between online annotation tools and resources have introduced the Open Annotation (OA) model, a general framework for representing annotations based on web standards. Building on the OA model, we propose to share annotations over a minimal web interface that conforms to the Representational State Transfer architectural style and uses the JSON for Linking Data representation (JSON-LD). We introduce tools supporting this approach and apply it to several existing annotation clients and servers, demonstrating direct interoperability between tools and resources that were previously unable to exchange information. The specification and tools are available from http://restoa.github. io/.
Audio-visual feature selection and reduction for emotion classification

Recognition of expressed emotion from speech and facial gestures was investigated in experiments on an audio-visual emotional database. A total of 106 audio and 240 visual features were extracted and then features were selected with Plus l-Take Away r algorithm based on Bhattacharyya distance criterion. In the second step, linear transformation methods, principal component analysis (PCA) and linear discriminant analysis (LDA), were applied to the selected features and Gaussian classifiers were used for classification of emotions. The performance was higher for LDA features compared to PCA features. The visual features performed better than audio features, for both PCA and LDA. Across a range of fusion schemes, the audio-visual feature results were close to that of visual features. A highest recognition rate of 53% was achieved with audio features, 98% with visual features, and 98% with audio-visual features selected by Bhattacharyya distance and transformed by LDA.
Delivering Scalable Video Streaming in ICN enabled Long Term Evolution networks

Information Centric Networking (ICN) is envisioned to be the future Internet architecture and mobile access network e.g., Long Term Evolution (LTE), and 5G will be the major access networks. In this paper, we present a cache management and cooperative request forwarding schemes for Scalable Video Streaming (SVS) in Information Centric Networking (ICN) enabled mobile access networks. H.264/SVC encoded video is consisted a mandatory baselayer and multiple optional enhancement layers. Baselayer, which is enough to decode the video, though with the lowest quality, is needed by every user who want to watch the video while enhancement layers are used to improve the video quality. Only a subset of users download enhancement layers of the video. Therefore, caching the baselayer nearer to the users will increase their Quality of Experience. Furthermore, we introduce cooperative request forwarding for the baselayer of video to take more benefits from cache of neighboring base stations. We have intensively simulated our proposed schemes by extending chunk level simulator ccnsim which is developed over Omnet++. Our experimental results show that, cache hit rate can be improved significantly by adopting our proposed caching and Interest forwarding schemes.
INHIBITION OF AMYLIN FIBRIL FORMATION AND PROTECTION OF ISLET β-CELLS BY MEDICINAL PLANTS

Misfolding of some proteins, their self-assembly into insoluble amyloid structures underlies many diseases, constituting a group of amyloid-related pathology. Fibrillation of peptide hormone of pancreas, amylin, is considered as one of the causes of death of β-cells in type 2 diabetes. In this work we studied in vitro protection of islet β-cells from death in the presence of aggregated amylin by ethanol extracts of rose petals (Rosa damascena), melilot (Melilotus officinalis), leaves of grape (Vitis vinifera), sorrel (Rumex Confertus) and blackberry (Rubus Caesius), and by eleven fractions, isolated from these plants (coumarin, phenol glycoside, flavonoid and anthracene derivative). A rather low IC50 values in protection of βcells were estimated for the extracts (0.03-1.5 μg/ml) and their fractions (0.04-3.9 μg/ml). The inhibition of amylin aggregation by several plant extracts and fractions in vitro was studied using ThT fluorescence method. The IC50 values in deceleration of the peptide aggregation were between 1.76-7.24 μg/ml. A strong correlation (r = 0.99, p=0.0005) was observed between IC50 values in protection of β-cells and amylin aggregation. Probably, both of these processes are conditioned by prevention of amylin aggregation and/or decomposition of its preformed aggregates by plant preparations. These results allow recommending frequent use of effective plants by persons at risk group, and considering these plants as sources for antidiabetic agents. INTRODUCTION: Misfolding and self-assembly into insoluble amyloid fibrillar structure of the protein underlies many diseases that make up the group of amyloid-related diseases. Currently, there are not yet found therapeutic agents successfully preventing the formation of fibrillar aggregates, suitable for treatment of amyloid-dependent diseases. Therefore, natural compounds with a broad spectrum of biological activities are considered as sources for developing the new therapeutics 1-4 . QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.IJP. 2(5). 234-41 Article can be accessed online on: www.ijpjournal. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.IJP. 2(5). 234-41 Amylin is a secretory product of pancreatic β-cells 5, 6 . It is a regulatory peptide functioning in the islet β-cells, where it participates in regulation of glucose metabolism along with insulin. Amyloid deposits of amylin were found in the islets of βcells in type 2 diabetes in humans and some mammals. Aggregated amylin is cytotoxic and is one of the causes of β-cell loss in type 2 diabetes mellitus 7 . There is a lot of information concerning the inhibition of amyloidosis of amylin by natural compounds as flavonoids (myricetin, quercetin, kaempferol, etc.), polyphenols (curcumin, epigallocatechin gallate, rosmarinic acid, etc.) and others 8-11 . It is believed, the cytotoxicity of the peptide on βcells can be reduced by these compounds. Indeed, epigallocatechin gallate in green tea in vitro inhibited amylin amyloidogenesis and destabilized its preformed aggregates 10 . The polyphenols