Miracle-dz/UniFAR-FTUs huggingface dataset:
Flavor Profile of Chinese Liquor Is Altered by Interactions of Intrinsic and Extrinsic Microbes

The flavor profile of Chinese liquor is the result of the metabolic activity of its microbial community. Given the importance of the microbial interaction, a novel way to control the liquor’s flavor is by regulating the composition of the community. In this study, we efficiently improved the liquor’s flavor by perturbing the intrinsic microbial metabolism with extrinsic microbes. We first constructed a basic microbial group (intrinsic) containing Saccharomyces cerevisiae, Wickerhamomyces anomalus, and Issatchenkia orientalis and added special flavor producers (extrinsic), Saccharomyces uvarum and Saccharomyces servazzii, to this intrinsic group. Upon the addition of the extrinsic microbes, the maximum specific growth rates of S. cerevisiae and I. orientalis increased from 6.19 to 43.28/day and from 1.15 to 14.32/day, respectively, but that of W. anomalus changed from 1.00 to 0.96/ day. In addition, most volatile compounds known to be produced by the extrinsic strains were not produced. However, more esters, alcohols, and acids were produced by S. cerevisiae and I. orientalis. Six compounds were significantly different by random forest analysis after perturbation. Among them, increases in ethyl hexanoate, isobutanol, and 3-methylbutyric acid were correlated with S. cerevisiae and I. orientalis, and a decrease in geranyl acetone was correlated with W. anomalus. Variations in ethyl acetate and 2-phenylethanol might be due to the varied activity of W. anomalus and S. cerevisiae. This work showed the effect of the interaction between the intrinsic and extrinsic microbes on liquor flavor, which would be beneficial for improving the quality of Chinese liquor.
CCR7-Induced Motility Dissociates CCR7 Proximal Signaling from The Actin-Bundling Protein L-Plastin

Chemokines promote lymphocyte motility by triggering F-actin rearrangements and inducing cellular polarization. Chemokines can also enhance cell–cell adhesion and costimulate T cells. In this study, we establish a requirement for the actin-bundling protein L -plastin (LPL) in CCR7- and sphingosine-1-phosphate–mediated T cell chemotaxis using LPL 2 / 2 mice. Disrupted motility of mature LPL 2 / 2 thymocytes manifested in vivo as diminished thymic egress. Two-photon microscopy of LPL 2 / 2 lymphocytes revealed reduced velocity and motility in lymph nodes. Defective migration resulted from defective cellular polarization following CCR7 ligation, as CCR7 did not polarize to the leading edge in chemokine-stimulated LPL 2 / 2 T cells. However, CCR7 signaling to F-actin polymerization and CCR7-mediated costimulation was intact in LPL 2 / 2 lymphocytes. The differential requirement for LPL in CCR7-induced cellular adhesion and CCR7-induced motility allowed assessment of the contribution of CCR7-mediated motility to positive selection of thymocytes and lineage commitment. Results suggest that normal motility is not required for CCR7 to function in positive selection and lineage commitment. We thus identify LPL as a molecule critical for CCR7-mediated motility but dispensable for early CCR7 signaling. The requirement for actin bundling by LPL for polarization reveals a novel mechanism of regulating actin dynamics during T cell motility. The Journal of Immunology , 2010, 184: 000–000.
A numerical scheme for post-buckling analysis of thin-walled members in the context of GBT

In recent years, the post-buckling behavior of thin walled cold-formed steel members under compressive or bending loads has been the object of several research studies. For the most relevant situations in practice the problem is assumed to be conservative, so that the system’s behavior can be described from a total potential energy (TPE) function. In order to apply the Rayleigh-Ritz method, a discretization procedure is needed and the TPE becomes a function of a load parameter P and of a set of nC generalized coordinates a. The post-buckling analysis concerns the search of alternative equilibrium paths in the neighborhood of the critical states – the one associated with the lowest critical load parameter having physical interest. The paper presents a set of numerical techniques required to study the stability behavior of thin-walled members in the context of an extended formulation of GBT (Generalized Beam Theory). An application to the study of the equilibrium and buckling behavior of cold-formed members is also presented.
Oxygen-Dependent Promoter of the Vitreoscilla Hemoglobin Gene in Escherichia coli

The gene coding for the VitreoscUla hemoglobin (VHb) molecule has been cloned and functionally expressed in Escherichia coli. By using a plasmid-encoded gene as well as single-copy integrants, the oxygen-dependent VHb gene (VHb) promoter was shown to be functional in E. coli. The promoter was maximally induced under microaerobic conditions (dissolved oxygen levels of less than 2% air saturation). Direct analysis ofmRNA levels as well as the use of gene fusions with lacZ showed that oxygen-dependent regulation occurred at the level of transcription. Transcriptional activity decreased substantially under anaerobic conditions, suggesting the presence of a regulatory mechanism that is maximally induced under hypoxic but not completely anaerobic conditions in E. coli. Primer extension analysis was used to identify the existence of two overlapping promoters within a 150-base-pair region upstream of the structural VHb gene. The oxygen-dependent activity of both promoters was qualitatively similar, suggesting the existence of a common mechanism by which available oxygen concentrations influence expression from the two promoters. Analysis of promoter activity in crp and cya mutants showed that both cyclic AMP and catabolite activator protein were required for full activity of the promoter. The VHb promoter contained a region of signfficant homology to the catabolite activator protein-binding site near the E. coli lac promoter.
The S-Locus Receptor Kinase Gene in a Self-lncompatible Brassica napus Line Encodes a Functional Seri

An S-receptor kinase (SRK) cDNA, SRK-910, from the active S-locus in a self-incompatible Brassica napus W1 line has been isolated and characterized. The SRK-910 gene is predominantly expressed in pistils and segregates with the W1 self-incompatibility phenotype in an Fz population derived from a cross between the self-incompatible W1 line and a self-compatible Westar line. Analysis of the predicted amino acid sequence demonstrated that the extracellular receptor domain is highly homologous to S-locus glycoproteins, whereas the cytoplasmic kinase domain contains conserved amino acids present in serinehhreonine kinases. An SRK-910 kinase protein fusion was produced in Escherichia coli and found to contain kinase activity. Phosphoamino acid analysis confirmed that only serine and threonine residues were phosphorylated. Thus, the SRK-910 gene encodes a functional serinelthreonine receptor kinase.
Fallows, Daniel and Nuzzo, Stefano and Costabeber, Alessandro and Galea, Michael (2017) Power quality improvement by pre-computed modulated field current for synchronous generators. In: 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis

Although power quality aspects of electrical machines have been extensively studied and investigated for a large number of years, room for improvement still exists in the field of classic, wound-field, synchronous generators. This paper proposes an innovative method of power quality improvement for single-phase synchronous generators in which the usual DC field current is replaced by a calculated current waveform. The optimised field current waveform is designed in such a way that harmonics created by the machine geometry and the winding configuration are significantly reduced. Index Terms – Magnetic field modulation, power generation, power quality, synchronous generator
Benefits of dexamethasone usage in thyroid surgery: a prospective, randomized study

University of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Oncology Institute of Vojvodina, Department of Anesthesiology and Intensive Care, Sremska Kamenica, Serbia; Clinical Center of Vojvodina, University Clinic for Anaesthesia and Intensive Care, Novi Sad, Serbia; Oncology Institute of Vojvodina, Department of Surgical Oncology, Sremska Kamenica, Serbia; Oncology Institute of Vojvodina, Department of Nuclear Medicine, Sremska Kamenica, Serbia
A Study on Fingerprint Hash Code Generation Using Euclidean Distance for Identifying a User

Biometrics innovation has ended up being a precise and proficient response to the security issue. Biometrics is a developing field of research as of late and has been dedicated to the distinguishing proof or authentication of people utilizing one or multiple inherent physical or behavioural characteristics. The unique fingerprint traits of a man are exceptionally exact and are special to a person. Authentication frameworks in light of unique fingerprints have demonstrated to create low false acceptance rate and false rejection rate, alongside other favourable circumstances like simple and easy usage strategy. But the modern study reveals that fingerprint is not so secured like secured passwords which consist of alphanumeric characters, number and special characters. Fingerprints are left at crime places, on materials or at the door which is usually class of latent fingerprints. We cannot keep fingerprint as secure like rigid passwords. In this paper, we discuss fingerprint image Hash code generation based on the Euclidean distance calculated on the binary image. Euclidean distance on a binary image is the distance from every pixel to the nearest neighbour pixel which is having bit value one. Hashcode alone not sufficient for Verification or Authentication purpose, but can work along with Multifactor security model or it is half secured. To implement Hash code generation we use MATLAB2015a. This study shows how fingerprints Hash code uniquely identifies a user or acts as index-key or identity-key.
Understanding flavour isolation: Aroma analysis

Flavour isolation is critical for the flavour industry. Isolation methods, such as extraction, are used to prepare samples for chemical analysis, ensuring a product’s safety and authenticity. Extraction is also used to create natural flavourings that are used to impart an enjoyable smell and taste to foods. This work evaluates the extraction efficiency (EE) of two small-scale sample preparation techniques. Using this data, a machine learning model predicting the extraction efficiency of odorants was built using their physical-chemical properties, i.e. vapour pressure (VP) and the octanol:water partition coefficient (LogP), as well as the sample matrix composition. The model gives the analyst the ability to select the most appropriate extraction technique for their purpose. Historical work showed that there is no one perfect technique for flavour extraction [1]. This conclusion still holds true for the more modern techniques investigated here. For example, there is a considerable decrease in extraction efficiency for Solvent Assisted Flavour Evaporation (SAFE) when lipid is present in the extraction matrix. In fact, SAFE and Solid Phase Microextraction (SPME) both have low recoveries for volatile, hydrophilic compounds when used for sample preparation. Adapting the machine learning workflow to predicting the extraction efficiency of – potentially – any raw material would be a useful tool for the flavour industry. To test the application of this model to real-world raw material analysis, data on the extraction efficiency of ginger root using one of three isolation methods (CO2 extraction, vacuum distillation, percolation) is currently being gathered.
Ribonuclease Inhibitor from Human Placenta

A soluble ribonuclease inhibitor from the human placenta has been purified 4000-fold by a combination of ion exchange and affinity chromatography. The inhibitor has been isolated in 45% yield (about 2 mg/placenta) as a protein that is homogeneous by sodium dodecyl sulfate-gel electrophoresis. In common with the inhibitors of pancreatic ribonuclease from other tissues that have been studied earlier, the placental inhibitor is an acidic protein of molecular weight near 50,000; it forms a 1:l complex with bovine pancreatic RNase A and is a noncompetitive inhibitor of the pancreatic enzyme, with a Ki of 3 x 10-l” M. The amino acid composition of the protein has been determined. The protein contains 30 half-cystine plus cysteine residues determined as cysteir acid after performic acid oxidation, At pH 8.6 the nondenatured protein alkylated with iodoacetic acid in the presence of free thiol has 8 free sulfhydryl groups. The inhibitor is irreversibly inactivated by sulfhydryl reagents and also by removal of free thiol from solutions of the protein. Inactivation by sulfhydryl reagents causes the dissociation of the RNase + inhibitor complex into active RNase and inactive inhibitor.
The Chemical Evolution of Protostellar and Protoplanetary Matter

The different processes that can affect the chemical composition of matter as it evolves from quiescent molecular clouds into protostellar and protoplanetary regions are discussed. Millimeter observations show that the chemical state of dense interstellar clouds prior to star formation is highly inhomogeneous: cold, dark clouds such as TMC-1 and L 134N show large chemical gradients on scales of a few tenths of a parsec, which are not well understood. Chemical models based on gas-phase ion-molecule reactions are moderately successful in reproducing the observed molecular abundances, but their predictive power is limited by unknown rates for several crucial reactions. Also, observational data for several important molecules are lacking. As a result, the abundances of the dominant oxygen- and nitrogen-bearing molecules prior to star formation are poorly determined. Some atoms and molecules are found to be depleted significantly onto grains, but the mechanisms for returning species to the gas phase in cold clouds are still uncertain. In star-forming regions, the high temperatures induced by radiation from newly formed stars can evaporate volatile grain mantles, and can open up additional gas-phase reaction channels. Powerful shocks associated with the outflows can also return more refractory material such as silicon and sulfur to the gas phase. These processes are operative in the best studied high-mass star-formation region Orion/KL, where interferometric observations reveal a complex chemistry with variations on scales of <2000 AU. For low-mass stars, observations of the chemistry in circumstellar disks on scales of 500 to 10,000 AU are only just becoming available. Initial studies of the young stellar object IRAS 16293-2422 also show large chemical gradients on scales of less than 1000 AU, but the chemical abundances appear less affected by the star-formation process than in Orion/KL. Systematic studies of the chemistry in star-forming regions are still lacking. On smaller scales of 50 to 500 AU corresponding to the outer solar nebula, observations of only the nearest and brightest objects are now possible, and detailed models of the chemistry have yet to be made. On scales appropriate to the solar nebula, 5 to 50 AU, material is thought to be physically and chemically modified in a number of ways: accretional shock heating, gas-drag heating on grains, and lightning are possible sources of energy. In the inner part of the nebula, temperatures are high enough for gas phase reactions to alter the molecular composition significantly; however, the amount of radial mixing between the inner and outer parts of the nebula may be limited. The extent to which outer solar nebula material retained its interstellar composition is therefore a highly complex issue, dependent on the body and the molecular/isotopic signature being considered. Comets almost certainly contain the most pristine matter, and a detailed comparison between the observed abundances in comet Halley and those found in interstellar clouds is made.
Background, Sensitivity and Directionality Studies for the Double Chooz Experiment

The goal of the Double Chooz experiment is the measurement of the neutrino oscillation angle theta13. So far, only an upper limit for its magnitude is known. Two reactors of a nuclear power plant at the French Chooz village provide a source of electron antineutrinos, whose ux is measured with a near and far detector. While the far detector is sensitive to neutrino oscillation, the near detector minimizes different systematic errors. In spring 2011 the far detector will start collecting data, while the near detector will follow roughly 18 months later. For the sensitivity of the experiment it is crucial to minimize the systematic error. Therefore, knowledge on background events is important. In this thesis the different sources of background are characterized and the eciency of various rejection techniques is investigated. Furthermore, different options to determine the background rate from the experimental data are analyzed. The inuence of different background rates on the sensitivity of Double Chooz is calculated. Another central aspect of this thesis is the directional reconstruction of neutrino events. It is demonstrated that the direction of the two reactors can be resolved with neutrino events within the rst few months. This thesis designs a precise reconstruction of neutrino directions and thus provides an important benchmark for the applicability of future large scale scintillator experiments in both geo- and astrophysics. %%%%Das Double Chooz Experiment hat das Ziel den Neutrinomischungswinkel theta13 zu messen, von dem bis jetzt nur eine Obergrenze bekannt ist. Zwei Reaktoren eines Kernkraftwerks im franzosischen Chooz dienen als Quelle der Elektronantineutrinos, deren Fluss in einem nahen und fernen Detektor gemessen wird. Wahrend der ferne Detektor sensitiv auf die Neutrinooszillation ist, minimiert der nahe Detektor verschiedene systematische Fehler. Im Fruhjahr 2011 wird mit der Messung am fernen Detektor begonnen, der nahe Detektor wird etwa 18 Monate spater folgen. Entscheidend fur die Sensitivitat des Experimentes ist ein moglichst kleiner systematischer Fehler, fur den das Verstandnis der Untergrundereignisse von groyer Bedeutung ist. In dieser Doktorarbeit werden die vorkommenden Untergrundereignisse charakterisiert und verschiedene Methoden der Untergrundunterdruckung auf ihre Effektivitat untersucht. Daruber hinaus werden unterschiedliche Moglichkeiten vorgestellt, die Untergrundrate aus den experimentellen Daten zu gewinnen. Diese Arbeit pruft auserdem die Auswirkung verschiedener Untergrundraten auf die Sensitivitat des Experimentes. Ein weiteres zentrales Thema ist die Richtungsrekonstruktion von Neutrinoereignissen. Diese Arbeit zeigt, dass schon nach einigen Monaten die Lage der beiden Reaktoren mithilfe der Neutrinoereignisse bestimmt werden kann. Durch eine genaue Charakterisierung der Neutrino Richtungsrekonstruktion liefert diese Arbeit wichtige Erkenntnisse ihrer Anwendbarkeit auch fur zukunftige groye Szintillatorexperimente bei geo- und astrophsikalischen Fragestellungen.
Purification and Characterization of a Secreted Purple Phosphatase from Soybean Suspension Cultures1

We purified and partially sequenced a purple (X,,,a, = 556 nanometers) acid phosphatase (APase; EC 3.1.3.2) secreted by soybean (Glycine max) suspension-culture cells. The enzyme is a metalloprotein with a Mn2+ cofactor. This APase appears to be a glycoprotein with a monomer subunit molecular weight of 58,000 and an active dimer molecular weight of approximately 130,000. The protein has an isoelectric point of about 5.0 and a broad pH optimum centered near 5.5. The purified enzyme, assayed with p-nitrophenyl phosphate as the substrate, has a specific activity of 512 units per milligram protein and a Km of approximately 0.3 millimolar; phosphate is a competitive inhibitor with a Ki of 0.7 millimolar. This APase is similar to one found in soybean seed meal but dissimilar to that found in soybean seedlings. sodium Km, in absence inhibitor (0), is about 0.3 mm p-nitrophenyl Vmax
A globally and superlinearly convergent potential reduction interior point method for convex programming

We consider an interior point algorithm for convex programming in which the steps are generated by using a primal-dual affine scaling technique. A ``local`` variant of the algorithm is shown to have superlinearly convergence with q-order up to (but not inducting) 2. The technique is embedded in a potential reduction algorithm and the resulting method is shown to be globally and superlinearly convergent. An important feature of the convergence analysis is its use of a novel strict interiority condition, which generalizes the usual conical neighborhood of the central path.
CLEP_A_258755 807..814

1Director ́s Office, Danish Cancer Society Research Center, Copenhagen, Denmark; 2Survivorship and Inequality in Cancer, Danish Cancer Society Research Center, Copenhagen, Denmark; 3Department of Clinical Oncology & Palliative Care, Zealand University Hospital, Næstved, Denmark; 4Statistics and Data Analysis, Danish Cancer Society Research Center, Copenhagen, Denmark; 5Danish Health Data Authority, Copenhagen, Denmark; 6Department of Pathology, Aalborg University Hospital, Aalborg, Denmark; 7Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 8Department of Urology, Zealand University Hospital, Roskilde, Denmark; 9Department of Urology and Department of Clinical Research, University of Southern Denmark, Odense, Denmark; 10Department of Oncology, Aarhus University Hospital, Aarhus, Denmark Background: TheDanishmultidisciplinary renal cancer group (DaRenCa) established the nation-
Diet quality and major chronic disease risk in men and women: moving toward improved dietary guidance1–3

Background: Adherence to the Dietary Guidelines for Americans, measured with the US Department of Agriculture Healthy Eating Index (HEI), was associated with only a small reduction in major chronic disease risk. Research suggests that greater reductions in risk are possible with more specific guidance. Objective: We evaluated whether 2 alternate measures of diet quality, the Alternate Healthy Eating Index (AHEI) and the Recommended Food Score (RFS), would predict chronic disease risk reduction more effectively than did the HEI. Design: A total of 38 615 men from the Health Professional’s Follow-up Study and 67 271 women from the Nurses’ Health Study completed dietary questionnaires. Major chronic disease was defined as the initial occurrence of cardiovascular disease (CVD), cancer, or nontraumatic death during 8–12 y of follow-up. Results: High AHEI scores were associated with significant reductions in risk of major chronic disease in men [multivariate relative risk (RR): 0.80; 95% CI: 0.71, 0.91] and in women (RR: 0.89; 95% CI: 0.82, 0.96) when comparing the highest and lowest quintiles. Reductions in risk were particularly strong for CVD in men (RR: 0.61; 95% CI: 0.49, 0.75) and in women (RR: 0.72; 95% CI: 0.60, 0.86). In men but not in women, the RFS predicted risk of major chronic disease (RR: 0.93; 95% CI: 0.83, 1.04) and CVD (RR: 0.77; 95% CI: 0.64, 0.93). Conclusions: The AHEI predicted chronic disease risk better than did the RFS (or the HEI, in our previous research) primarily because of a strong inverse association with CVD. Dietary guidelines can be improved by providing more specific and comprehensive advice. Am J Clin Nutr 2002;76:1261–71.
A Nevanlinna--Pick Approach to Time-Domain Constrained i Control

In this paper, generalized Nevanlinna--Pick theory is used to solve a time-domain constrained $i$ control problem for linear time-invariant discrete-time systems. First it is shown that if constraints are imposed only over a finite horizon (i.e., only on the first $n$ samples), then the problem reduces to a finite-dimensional convex minimization problem. Subsequently it is shown that if these problems are conveniently modified, then letting the horizon length go to infinity produces a solution to the infinite-horizon problem.