Miracle-dz/UniFAR-FTUs huggingface dataset:
TiO2, and SiO2-TiO2 composite films

Pristine SiO2, TiO2 and composite SiO2-TiO2 films of 200 nm thick were coated on surface of quartz acoustic wave (SAW) sensors with sol-gel and spin coating technique. Their performance and mechanisms for sensing NH3 were systematically investigated . Sensors made with the TiO2 and SiO2-TiO2 films showed positive frequency shifts, wh ereas SiO2 film exhibits a negative frequency shift o NH3 gas. it is believed that the negative frequency shift was mainly caused by the increase of NH 3 mass load ing on the sensitive film while the positive frequency shift was associated to the condensation of the hydroxyl groups ( -OH) on the film making the film stiffer and lighter , when exposed to NH 3 gas. It demonstrated that h umidity played a significant factor on the sensing performance . Comparative stud ies exhibited that the sensor based on the composite SiO2-TiO2 film had a much better sensitivity to NH 3 at a low concentration level (1 ppm) with a response of 2 KHz , and also showed fast response and recovery, excellent selectivity, stability and reproducibility .
of the 14th International Symposium on Unsteady Aerodynamics, Aeroacoustics & Aeroelasticity of TurbomachinesISUAAAT14 THE UNSTEADY DISCRETE ADJOINT METHOD FOR TURBOMACHINERY APPLICATIONS

The unsteady discrete adjoint method for the calculation of objective function gradients for transient turbomachinery compressible viscous ﬂows is presented. The URANS state equations are used along with the one-equation Spalart-Allmaras model. The implementation relies on an existing unsteady three-dimensional unstructured grid solver and discrete adjoint capabilities previously developed for steady ﬂows. The formulation of the adjoint equations is introduced within a generic time-dependent CFD optimal design problem. An adjoint sliding plane functionality is also presented in order to enable multi-row time-dependent adjoint calculations, exploiting the rotor-stator interface. Algorithmic Diﬀerentiation (AD) is used to compute diﬀerential terms. Two testcases, a turbine vane and a turbine stage, are selected to demonstrate the feasibility of the method.
Robust Optimization in Simulation

Optimization of simulated systems is the goal of many methods, but most methods assume known environments. We, however, develop a ‘robust’ methodology that accounts for uncertain environments. Our methodology uses Taguchi’s view of the uncertain world, but replaces his statistical techniques by Kriging. We illustrate the resulting methodology through classic Economic Order Quantity (EOQ) inventory models. Our results suggest that robust optimization requires order quantities that diﬀer from the classic EOQ. We also compare our latest results with our previous results that do not use Kriging but Response Surface Methodology (RSM).
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Bias in Estimating Multivariate and Univariate Diffusions Bias in Estimating Multivariate and Univariate Diffusions

Multivariate continuous time models are now widely used in economics and finance. Empirical applications typically rely on some process of discretization so that the system may be estimated with discrete data. This paper introduces a framework for discretizing linear multivariate continuous time systems that includes the commonly used Euler and trapezoidal approximations as special cases and leads to a general class of estimators for the mean reversion matrix. Asymptotic distributions and bias formulae are obtained for estimates of the mean reversion parameter. Explicit expressions are given for the discretization bias and its relationship to estimation bias in both multivariate and in univariate settings. In the univariate context, we compare the performance of the two approximation methods relative to exact maximum likelihood (ML) in terms of bias and variance for the Vasicek process. The bias and the variance of the Euler method are found to be smaller than the trapezoidal method, which are in turn smaller than those of exact ML. Simulations suggest that when the mean reversion is slow, the approximation methods work better than ML, the bias formulae are accurate, and for scalar models the estimates obtained from the two approximate methods have smaller bias and variance than exact ML. For the square root process, the Euler method outperforms the Nowman method in terms of both bias and variance. Simulation evidence indicates that the Euler method has smaller bias and variance than exact ML, Nowman’s method and the Milstein method.
Brazilian Food Industry: A Case of Absorptive Capacity and Knowledge Assimilation among Leaders

: he study aims to analyze how the assimilation of knowledge takes place in the Production Unit Marau-RS, a member of the Food Corporation SA. It was a qualitative and exploratory study as case study. The data were collected through with 15 formal leadership of agribusiness. Manufacturing sector was chosen and it has 700 employees. Open questions based on analytical categories defined from the selected literature were data collection instrument, and content analysis was technique of data analysis. The results indicated that the respondents had some kind of specific knowledge that as been enhanced with new assimilated into daily operational practices. The assimilation of knowledge takes place in a simple way, that is, despite the organizational structure is divided production sectors, the communication process flows normally and staff has the opportunity to learn from each other, and new knowledge is applied in routines that maintain, over time, the competitiveness of industry operating in the global market.
I N VITRO P RODUCTION OF S OLASODINE A LKALOID IN S OLANUM NIGRUM UNDER S ALINITY S TRESS

SUMMARY The effect of Salinity stress on solasodine production by Solanum nigrum under tissue culture conditions has been investigated. Solasodine is steroidal alkaloid, alternative to diosgenin, which is used as a precursor for the commercial production of steroidal drugs. Salinity stress has been applied by adding NaCl to the culture medium MS, five concentrations were applied: 0.0 (control), 50, 100, 150, and 200 mM for 8 weeks. The obtained results show the possibility to increase solsasodine level production under salainity stress. However, the highest salinity stress concentration (200 mM of NaCl) has not significant when it is compared to (150 mM of NaCl) concentration. Positive correlations were observed between the NaCl levels and solasodine content accumulation, proline content and solasodine accumulation in Solanum nigrum calli. The solasodine production increased significantly as a result of increasing of NaCl concentrations. However, non-significantly differences were observed between 150 mM and 200 mM of NaCl on solasodine accumulation.
Recurrent algebraic fuzzy neural networks based on fuzzy numbers

A hybrid structure, recurrent algebraic fuzzy neural networks (RAFNN) using fully connected recurrent neural network architecture is proposed. The hybrid structure is based on neural network topology and fuzzy algebraic systems. All the operations are defined in the frame of fuzzy arithmetic using triangular fizzy numbers (usually non-symmetric). The experimental results demonstrate the capability of algorithm and the possibility to use successfully fuzzy numbers in recurrent architecture in order to acquire a dynamic behavior.
In Drosophila, the Jun-N-terminal Kinase-(JNK) signaling pathway is required for epithelial cell shape changes during dorsal closure of the embryo. In the absence of JNK pathway activity, as in the DJNKK/hemipterous (hep)

Epithelial morphogenesis is a fundamental and widespread process controlling cell, tissue and organ development, hence the ultimate shape and organization of metazoans. The ability of fields of cells to translate spatial and temporal information into appropriate morphogenetic activity is crucial for the making of a functional organism. In Drosophila, several genes have been identified that are important for correct morphogenesis, including both structural and regulatory (signaling) activities. For example, during mid-embryogenesis, the dorsal part of the embryo is progressively covered by the lateral ectodermal cells undergoing dorsal closure (DC): these epithelial cells elongate dorsally and move in concert toward the dorsal midline where they fuse at the end of the process (Martinez Arias, 1993; Noselli, 1998). It was recently shown that the Jun-N-terminal Kinase (JNK) pathway plays an essential role in this process, by controlling specific gene activity in a single row of cells leading the migrating ectoderm (Glise et al., 1995; Glise and Noselli, 1997; Harden et al., 1996, 1995, 1999; Hou et al., 1997; Kockel et al., 1997; Liu et al., 1999; Lu and Settleman, 1999; Martin-Blanco et al., 1998; Ricos et al., 1999; Riesgo-Escovar and Hafen, 1997a,b, 1996; Sluss and Davis, 1997; Sluss et al., 1996; Su et al., 1998; Zeitlinger et al., 1997). In JNK pathway mutant embryos, these leading edge (LE) cells lose both their identity and ability to move dorsally. Thus, a regional defect can affect the ability of a larger field of ectodermal cells to undergo proper morphogenesis. A current model proposes that the LE cells may play an organizer role for morphogenesis of the whole ectoderm through the coupling of JNK and dpp signaling pathways (for review, see Goberdhan and Wilson, 1998; Ip and Davis, 1998; Noselli, 1998; Noselli and Agnes, 1999). We are interested in the signaling mechanisms governing the morphogenesis of epithelia, and the way these are modulated in order to generate morphogenetic diversity. One way to study this is to compare related processes that are controlled by the same pathway in a single organism. The identification of the putative flexible parts would permit an understanding of how a single pathway may control apparently different morphogenetic processes and thus contribute to diversity. In this context, we investigated the role of hep and the JNK pathway in metamorphosis. Drosophila is an holometabolous insect, i.e., the adult form (imago) derives from complete metamorphosis during the pupal stage. The transition from larval to adult body shape is 5453 Development 126, 5453-5462 (1999) Printed in Great Britain © The Company of Biologists Limited 1999 DEV5358
Malware Detection Through Decision Tree Classifier

: The first part of this paper is devoted to a brief introduction, terminology and a comparison between different methods of preventing and detecting malware. The second portion of this paper presents a new method for classifying malicious files versus normal ones. Our approach is based on differences between assembly op-code frequencies in malware and benign classes. We have also utilized decision tree algorithms to simplify the classification.
Economic Performance and Center-Periphery Conﬂicts in Party Competition ∗

The reasons pushing parties to politicize non-economic dimensions of competition, and the consequences of this for the representation of public opinion, are badly understood in the party competition literature. This is a pressing research gap, especially given the recent and signiﬁcant re-activation of territorial or center-periphery conﬂicts in Western Europe. In this paper, we ﬁrst argue that bad macro-economic performance increases the incentives of incumbent parties to deviate the attention towards territorial conﬂicts in order to avoid electoral punishment. Secondly, we also argue that the opposite is true for public opinion: it is precisely during periods of bad economic performance and high economic concern, when the electorate moves away from territorial interests. The dynamic emerging from our ﬁndings is thus far from an ideal bottom-up representation: elites divert the attention towards territorial conﬂicts to mask periods of poor economic performance, which is precisely when public opinion is less interested in center-periphery issues. We validate our claims using text analysis of party attention in Spain, and time series models covering four electoral cycles (1996-2011). politics, political competition, determinants anti-immigrant attitudes and center-periphery
The 50 kV inverted source of polarized electrons at ELSA

The future medium energy physics program at the electron stretcher accelerator ELSA of Bonn University mainly relies on experiments requiring a beam of polarized electrons and a polarized target. To provide a polarized beam with high polarization and sufficient intensity a pulsed 50 kV inverted gun of polarized electrons has been set into operation. The gun is operated in space charge limitation, producing a peak current of 100 mA in rectangular 1μs long electron pulses. Photocathode lifetime during operation is higher than 3000 hours. Using a Be-InGaAs/Be-AlGaAs superlattice photocathode a polarization of 80% and a corresponding quantum efficiency of 0.4% could be obtained.
Response in Cystic Fibrosis TLR4 Underlie the Elevated Inflammatory Abnormal Trafficking and Degradation of

Morbidity and mortality in cystic ﬁbrosis (CF) are due not only to abnormal epithelial cell function, but also to an abnormal immune response. We have shown previously that macrophages lacking CF transmembrane conductance regulator (CFTR), the gene mu-tated in CF, contribute signiﬁcantly to the hyperinﬂammatory response observed in CF. In this study, we show that lack of functional CFTR in murine macrophages causes abnormal TLR4 subcellular localization. Upon LPS stimulation, CFTR macrophages have prolonged TLR4 retention in the early endosome and reduced translocation into the lysosomal compartment. This abnormal TLR4 trafﬁcking leads to increased LPS-induced activation of the NF- k B, MAPK, and IFN regulatory factor-3 pathways and decreased TLR4 degradation, which affects downregulation of the proinﬂammatory state. In addition to primary murine cells, mononuclear cells isolated from CF patients demonstrate similar defects in response to LPS. Moreover, speciﬁc inhibition of CFTR function induces abnormal TLR4 trafﬁcking and enhances the inﬂammatory response of wild-type murine cells to LPS. Thus, functional CFTR in macrophages inﬂuences TLR4 spatial and temporal localization and perturbs LPS-mediated signaling in both murine CF models and patients with CF. The Journal of Immunology , 2011, 186: 6990–6998. ﬁxed, per-meabilized, with anti–EEA-1 and anti-rat We gated on single and on cells that were positive for both FITC (TLR4) and (EEA-1). the of the with the Using for (TLR4) in the EEA-1 (5000 cells/exper-iment) during LPS and determined the number and the size of EEA-1–positive vesicles over
Study on facial thermal reactions for psycho-physical stimuli

This paper presents a study on the inﬂuence of psychophysical stimuli on facial thermal emissions. Two independent groups of stimuli are proposed to investigate facial changes resulting from human stress and physical exhaustion. One pertains to physical eﬀort while the other is linked to stress invoked by solving a simple written test. Subjects’ face reactions were measured through collecting and analysing long-wavelength infrared images. A methodology for numerical processing of images is proposed. Results of numerical analysis with respect to diﬀerent facial regions of interest are provided. An automatic deep learning based algorithm to classify speciﬁc thermal face patterns is proposed. The algorithm consists of detection of regions of interests as well as numerical analysis of thermal energy emissions of facial parts. The results of presented experiments allowed the authors to associate emission changes in speciﬁc facial regions with psychophysical stimulations of the person being examined. This work proves high usability of thermal imaging to capture changes of heat distribution of face as reactions for external stimuli.
Capitalizing on Empirical Knowledge during Cloud Computing Adoption

Like many other IT innovations, adopting cloud computing technology in IT-based organisations may not be a hazard-free endeavour and demands a proper understanding of requirements and risks involved prior to taking any action. The number of accounts on using of cloud services to empower existing legacy systems is ever increasing. The time is ripe to undertake an analysis to gain a realistic view of what migrating legacy systems to cloud may offer, an understanding of exceptional situations causing goal failure in such a transition, and insights on countermeasures. This body of knowledge, although is useful, is dispersed over the current literature. It is hard for busy practitioners to digest, synthesize, and harness this body of knowledge into practice when integrating legacy systems with cloud services. We address this issue by making an innovative synergy between the approaches evidence-based software engineering and goal-oriented modelling . Through using evidence-based software engineering approach, we develop a repository of commonly occurred obstacles and platform agnostic resolution tactics that is later utilized during a systematic goal-obstacle elaboration process regarding migrating legacy systems to cloud platforms. The application of the framework is also demonstrated.
Educational Outcomes After Serving with Electronic Monitoring

Objectives The paper explores the effects of electronic monitoring (EM) on young offenders’ educational outcomes and contributes to the evaluation of EM as a non-cus-todial sanction with a new outcome measure. Methods The study is based on a natural experiment exploiting a reform in Denmark in 2006 introducing electronic monitoring to all offenders under the age of 25 with a maximum prison sentence of 3 months. Information on program participation is used to estimate instrument variable models in order to assess the causal effects of EM on young offenders’ educational outcomes. The empirical analyses are based on a comprehensive longitudinal dataset (n = 1013) constructed from multiple ofﬁcial administrative registers and including a high number of covariates. The EM-program increases the completion rates of upper secondary education by 18 % points among program participants 3 years post-release. The EM-program includes house arrest under electronic surveillance, labor market or education participation, unannounced drug and alcohol tests and a crime preventive program. It is not possible to separate the treatment effects of the different program elements in the empirical analyses.
ER (cid:1) Inhibits Proliferation and Invasion of Breast Cancer Cells

Recent studies indicate that the expression of ER (cid:1) in breast cancerislowerthaninthenormalbreast,suggestingthatER (cid:1) could play an important role in carcinogenesis. To investigate this hypothesis, we engineered ER-negative MDA-MB-231 (hu-man breast cancer cells) to reintroduce either ER (cid:2) or ER (cid:1) protein with an adenoviral vector. In these cells, ER (cid:1) (as ER (cid:2) ) expression was monitored using RT-PCR and Western blot. ER (cid:1) protein was localized in the nucleus (immunocytochem-istry) and able to transactivate estrogen-responsive reporter constructs in the presence of E2. ER (cid:1) and ER (cid:2) induced the expression of several endogenous genes such as pS2, TGF (cid:2) , or the cyclin kinase inhibitor p21 but, in contrast to ER (cid:2) , ER (cid:1) was unable to regulate c- myc proto-oncogene expression. The pure antiestrogen ICI 164, 384 completely blocked ER (cid:2) and ER (cid:1) estrogen-induced activities. ER (cid:1) inhibited MDA-MB-231 cell proliferation in a ligand-independent manner, whereas ER (cid:2) inhibition of proliferation is hormone dependent. More- over, ER (cid:1) and ER (cid:2) decreased cell motility and invasion. Our data bring the first evidence that ER (cid:1) is an important mod- ulator of proliferation and invasion of breast cancer cells and support the hypothesis that the loss of ER (cid:1) expression could be one of the events leading to the development of breast cancer. ( Endocrinology 142: 4120–4130, 2001)
plants Hitting the Wall—Sensing and Signaling Pathways Involved in Plant Cell Wall Remodeling in Response to Abiotic Stress

: Plant cells are surrounded by highly dynamic cell walls that play important roles regulating aspects of plant development. Recent advances in visualization and measurement of cell wall properties have enabled accumulation of new data about wall architecture and biomechanics. This has resulted in greater understanding of the dynamics of cell wall deposition and remodeling. The cell wall is the ﬁrst line of defense against different adverse abiotic and biotic environmental inﬂuences. Different abiotic stress conditions such as salinity, drought, and frost trigger production of Reactive Oxygen Species (ROS) which act as important signaling molecules in stress activated cellular responses. Detection of ROS by still-elusive receptors triggers numerous signaling events that result in production of different protective compounds or even cell death, but most notably in stress-induced cell wall remodeling. This is mediated by different plant hormones, of which the most studied are jasmonic acid and brassinosteroids. In this review we highlight key factors involved in sensing, signal transduction, and response(s) to abiotic stress and how these mechanisms are related to cell wall-associated stress acclimatization. ROS, plant hormones, cell wall remodeling enzymes and different wall mechanosensors act coordinately during abiotic stress, resulting in abiotic stress wall acclimatization, enabling plants to survive adverse environmental conditions. Ca 2+ inﬂux to maintain CWI. Defective Kernel 1 (DEK1) acts with a mechanosensitive Ca 2+ channel and potentially regulates CWI during stress. Wall Associated Kinases (WAKs) are known to bind pectins and are proposed to initiate signaling via mitogen-activated protein kinases (MPKs) to regulate vacuolar invertases and turgor maintenance. Fasciclin-like arabinogalactan-proteins (FLAs) likely inﬂuence cellulose biosynthesis and/or deposition in response to stress. The negative regulator of brassinosteroid (BR) signaling, brassinosteroid insensitive 2 (BIN2), can phosphorylate cellulose synthase A (CESA) and reduce CESA activity. BR negatively regulates BIN2 to active the transcription factor BES1 and genes encoding cell wall loosening agents including xyloglucan endotransglycosidases/hydrolases (XETs/XTHs), expansins, and pectin modifying enzymes as well as genes involved in ROS production. RLP44 interacts with BR receptors BRI1 and BAK1 in response to wall damage and increases BR signaling. Fine-tuning the balance between these pathways regulates wall stiffening/loosening to modulate abiotic stress tolerance.
Consistent Utilization of Shielding Benchmark Experiments

Benchmark experiments of neutron propagation in iron and iron--sodium mixtures were used to generate an ''adjusted'' ENDF/B data file for iron, Mat = 1192. In particular, the secondary neutron energy distribution in the continuous level energy range was adjusted by use of such high-energy responses as the /sup 32/S(n,p)/sup 32/P reaction, which are significantly sensitive to changes in that probability distribution. The experimental analysis used carefully checked two-dimensional transport methods to avoid bias in the adjustment procedure due to inadequate calculational methods. 10 figures, 13 tables.
The decomposition of H 2 O 2 over the components of Au/TiO 2 catalysts

Hydrogen peroxide is an important oxidant that is increasingly being employed in selective oxidation reactions over support metal catalysts. We present a density functional theory study of the adsorption of H 2 O 2 to the components of a model Au/TiO 2 system based on Au 10 nanoclusters and the rutile TiO 2 (110) surface. We ﬁnd that H 2 O 2 decomposes easily to 2OH on the metal nanoparticles while the interaction with surface hydroxyls on TiO 2 (110) gives a low barrier to a surface OOH species. This work suggests that the production of H 2 O 2 takes place at the interface between the particle and oxide and we further show how this interface region is inﬂuenced by the hydroxylation of the surface.