Miracle-dz/UniFAR-FTUs huggingface dataset:
Gating of high-order harmonic emission driven by a two-color mid-IR optical parametric amplifier

The study of ultrafast phenomena in atoms, molecules and solid-state matter is nowadays accessing a new realm, thanks to the production of isolated attosecond pulses (IAPs) of XUV radiation by high-order harmonic generation (HHG) [1]. The classical route to the generation of continuous XUV spectra leading to IAPs exploits shaped few-cycle laser pulses, like in polarization gating [2] and two-color gating [3] techniques. In this work we will show that such techniques can be implemented with an ultrabroadband optical parametric amplifier operating in the mid-IR and generating multi-cycle pulses, thus avoiding the use of a few-cycle Ti:Sapphire laser source and, thanks to the favorable cutoff scaling law for mid-IR drivers [3], paving the way to the production of IAPs well above the 100-eV photon energy.
MICROASSAY OF BIOCHEMICAL STRUCTURAL COMPONENTS IN NERVOUS TISSUES–II

I N the preceding paper (HESS and THALHEIMER, 1965), a microchemical scheme was given for analysing microgram-sized samples of nervous tissue for a group of biochemical structural substances : gangliosides, RNA, DNA, cerebrosides, proteolipid proteins and residue proteins. Extraction and partition of lipids were performed by a microversion of the technique of FOLCH, LEES and SLOANE-STANLEY (1957). This article describes in detail the use of microadaptations of the orcinol-sulphuric acid reaction (S0RENSEN and HAUGAARD, 1933; BRUCKNER, 1955) for determination of cerebroside hexose (FOLCH, 1949; FOLCH et al., to be published), and of the microcolorimetric method of LOWRY, ROSEBROUGH, FARR and RANDALL (1951) for assay of proteolipid and residue proteins.
Changes in platelet count after cardiac surgery can effectively predict the development of pathogenic heparin‐dependent antibodies

Cardiopulmonary bypass (CPB) induces the release of platelet factor 4 (PF4) and patients are at risk of heparin‐induced thrombocytopenia (HIT). This study was aimed to determine whether an abnormal evolution in platelet count (PC) after CPB is predictive of the development of HIT antibodies. Two abnormal PC patterns were defined: pattern P1, characterized by a decrease in PC following previous correction of thrombocytopenia occurring during CPB, and pattern P2, defined as a persistent low PC in the days following CPB. PC was evaluated for 10 d in 305 consecutive patients before and after CPB. Serotonin release assay (SRA) was carried out between days 8 and 10 to detect pathogenic heparin‐dependent antibodies. Moreover, antibodies to heparin–PF4 (H–PF4) complexes were assayed by enzyme‐linked immunosorbent assay. PC evolution after CPB was normal in 300 patients although antibodies to H–PF4 were frequently present (53·4%). Changes in PC were abnormal in five patients with pattern P1 (n = 4) or P2 (n = 1). As SRA was positive in four of the five cases, the positive predictive value of abnormal PC pattern for pathogenic HIT antibodies was 80%. Careful follow‐up of PC after CPB makes it possible to predict with high specificity (99%) for those patients who develop pathogenic HIT antibodies.
Light Field Reconstruction Using Deep Convolutional Network on EPI

In this paper, we take advantage of the clear texture structure of the epipolar plane image (EPI) in the light field data and model the problem of light field reconstruction from a sparse set of views as a CNN-based angular detail restoration on EPI. We indicate that one of the main challenges in sparsely sampled light field reconstruction is the information asymmetry between the spatial and angular domain, where the detail portion in the angular domain is damaged by undersampling. To balance the spatial and angular information, the spatial high frequency components of an EPI is removed using EPI blur, before feeding to the network. Finally, a non-blind deblur operation is used to recover the spatial detail suppressed by the EPI blur. We evaluate our approach on several datasets including synthetic scenes, real-world scenes and challenging microscope light field data. We demonstrate the high performance and robustness of the proposed framework compared with the state-of-the-arts algorithms. We also show a further application for depth enhancement by using the reconstructed light field.
Nonadditive Expression and Parent-of-Origin Effects Identified by Microarray and Allele-Specific Expression Profiling of Maize Endosperm1[W][OA]

Plant endosperm cells have a nuclear ratio of two maternal genomes to one paternal genome. This 2 to 1 dosage relationship provides a unique system for studying the additivity of gene expression levels in reciprocal hybrids. A combination of microarray profiling and allele-specific expression analysis was performed using RNA isolated from endosperm tissues of maize (Zea mays) inbred lines B73 and Mo17 and their reciprocal hybrids at two developmental stages, 13 and 19 d after pollination. The majority of genes exhibited additive expression in reciprocal hybrids based on microarray analyses. However, a substantial number of genes exhibited nonadditive expression patterns, including maternal like, paternal like, high parent like, low parent like, and expression patterns outside the range of the parental inbreds. The frequency of hybrid expression patterns outside of the parental range in maize endosperm tissue is much higher than that observed for vegetative tissues. For a set of 90 genes, allele-specific expression assays were employed to monitor allelic bias and regulatory variation. Eight of these genes exhibited evidence for maternally or paternally biased expression at multiple stages of endosperm development and are potential examples of differential imprinting. Our data indicate that parental effects on gene expression are much stronger in endosperm than in vegetative tissues.
Peptide Combinatorial Libraries Identify TSC2 as a Death-associated Protein Kinase (DAPK) Death Domain-binding Protein and Reveal a Stimulatory Role for DAPK in mTORC1 Signaling*

Death-associated protein kinase (DAPK) is a multidomain enzyme that plays a central role in autophagic and apoptotic signaling, although the protein-protein interactions regulating DAPK functions are not well defined. Peptide aptamer libraries were used to identify the tumor suppressor protein tuberin (TSC2) as a novel DAPK death domain-binding protein, and we evaluated whether DAPK is a positive or negative effector of the TSC2-regulated mammalian target of rapamycin (mTORC1) signaling pathway. Binding studies using death domain miniproteins in vitro and deletion analysis in vivo determined that the death domain of DAPK is the major site for the interaction with TSC2. Recombinant DAPK phosphorylates TSC2 in vitro, and DAPK kinase activity is stimulated by growth factor signaling. Transfection of DAPK promotes phosphorylation of TSC2 in vivo, whereas short interfering RNA-mediated attenuation of DAPK reduces growth factor-stimulated phosphorylation of TSC2. DAPK-dependent phosphorylation leads to TSC1-TSC2 complex dissociation, and consequently manipulation of DAPK by transfection or short interfering RNA demonstrated that DAPK is a positive regulator of mTORC1 in response to growth factor activation. Epistatic studies suggest that DAPK functions downstream from the RAS-MEK-ERK and phosphatidylinositol 3-kinase-AKT growth factor signaling pathways. DAPK+/- mouse embryo fibroblasts have attenuated mTORC1 signaling compared with DAPK+/+ counterparts, and overexpression of DAPK in DAPK+/- MEFs stimulates mTORC1 activity. These data uncover a novel interaction between DAPK and TSC2 proteins that has revealed a positive link between growth factor stimulation of DAPK and mTORC1 signaling that may ultimately affect autophagy, cell survival, or apoptosis.
Mobile object retrieval in server-based image databases

The increasing number of mobile phones equipped with powerful cameras leads to huge collections of user-generated images. To utilize the information of the images on site, image retrieval systems are becoming more and more popular to search for similar objects in an own image database. As the computational performance and the memory capacity of mobile devices are constantly increasing, this search can often be performed on the device itself. This is feasible, for example, if the images are represented with global image features or if the search is done using EXIF or textual metadata. However, for larger image databases, if multiple users are meant to contribute to a growing image database or if powerful content-based image retrieval methods with local features are required, a server-based image retrieval backend is needed. In this work, we present a content-based image retrieval system with a client server architecture working with local features. On the server side, the scalability to large image databases is addressed with the popular bag-of-word model with state-of-the-art extensions. The client end of the system focuses on a lightweight user interface presenting the most similar images of the database highlighting the visual information which is common with the query image. Additionally, new images can be added to the database making it a powerful and interactive tool for mobile contentbased image retrieval.
Improved Gateway Binary Vectors: High-Performance Vectors for Creation of Fusion Constructs in Transgenic Analysis of Plants

We made a series of improved Gateway binary vectors (pGWBs) for plant transformation. Fifteen different reporters and tags, sGFP, GUS, LUC, EYFP, ECFP, G3GFP, mRFP, 6×His, FLAG, 3×HA, 4×Myc, 10×Myc, GST, T7, and TAP, were employed. Some vectors carry the 2×35S-Ω promoter for higher-level expression. The kanamycin- and hygromycin-resistant markers are independently available for each of the 43 types of vectors, thus an additional transformation of once-transformed plants can be carried out easily. Their small size and high-copy number in Escherichia coli make possible easier handling at plasmid preparation and sequencing. Improved pGWBs should be a powerful tool for transgenic research in plants.
Calculus of fuzzy hierarchical censored production rules (FHCPRs)

The article addresses the problem of reasoning under time constraints with incomplete, vague, and uncertain information. It is based on the idea of Variable Precision Logic (VPL), introduced by Michalski and Winston, which deals with both the problem of reasoning with incomplete information subject to time constraints and the problem of reasoning efficiently with exceptions. It offers mechanisms for handling trade‐offs between the precision of inferences and the computational efficiency of deriving them. As an extension of Censored Production Rules (CPRs) that exhibit variable precision in which certainty varies while specificity stays constant, a Hierarchical Censored Production Rules (HCPRs) system of Knowledge Representation proposed by Bharadwaj and Jain exhibits both variable certainty as well as variable specificity. Fuzzy Censored Production Rules (FCPRs) are obtained by augmenting ordinary fuzzy conditional statement: “if X is A then Y is B” (or A(x) ⇒ B(y) for short) with an exception condition and are written in the form: “if X is A then Y is B unless Z is C” (or A(x) ⇒ B(y) ∥ C(z)). Such rules are employed in situations in which the fuzzy conditional statement “if X is A then Y is B” holds frequently and the exception condition “Z is C” holds rarely. Thus, using a rule of this type we are free to ignore the exception condition, when the resources needed to establish its presence are tight or there simply is no information available as to whether it holds or does not hold. Thus if … then part of the FCPR expresses important information while the unless part acts only as a switch that changes the polarity of “Y is B” to “Y is not B” when the assertion “Z is C” holds. Our aim is to show how an ordinary fuzzy production rule on suitable modifications and augmentation with relevant information becomes a Fuzzy Hierarchical Censored Production Rules (FHCPRs), which in turn enables to resolve many of the problems associated with usual fuzzy production rules system. Examples are given to demonstrate the behavior of the proposed schemes. © 1996 John Wiley & Sons, Inc.
Harmonisation of knowledge management - comparing 160 KM frameworks around the globe

Purpose – The purpose of this paper is to look at how knowledge management (KM) has entered into a new phase where consolidation and harmonisation of concepts is required. Some first standards have been published in Europe and Australia in order to foster a common understanding of terms and concepts. The aim of this study was to analyse KM frameworks from research and practice regarding their model elements and try to discover differences and correspondences.Design/methodology/approach – A total of 160 KM frameworks from science, practice, associations and standardization bodies have been collected worldwide. These frameworks have been analysed regarding the use and understanding of the term knowledge, the terms used to describe the knowledge process activities and the factors influencing the success of knowledge management. Quantitative and qualitative content analysis methods have been applied.Findings – The result shows that despite the wide range of terms used in the KM frameworks an underlying consen.
Construction of Time Relaxed Minimal Broadcast Networks

In broadcasting, or one-to-all communication, a message originally held in one node of the network must be transmitted to all the other nodes. A minimal broadcast network is a communication network that can transmit a message originated at any node to all other nodes of the network in minimum time. In this paper, we present a compound method to construct sparse, time-relaxed, minimal broadcast networks (t-mbn), in which broadcasting can be accomplished in slightly more than the minimum time. The proposed method generates a new network by connecting a subset of nodes from several copies of a t1-mbn using the structure of another t2-mbn. The objective is to construct a network as sparse as possible satisfying the desired broadcasting time constraint. Computational results illustrate the effectiveness of the proposed method.
Speech emotion Recognition using Non-linear Classifier- A Review

: In the field of Human Computer Interaction(HCI), identifying emotion from speech is a very significant topic and it has been achieving progressive interest in current research area. Therefore, Different researchers have been introduced and established many systems and methods to recognize the emotion from human speech. In this paper, we have discussed about some earlier implementation and advance made of emotion recognition. Also reviewed various feature extraction methods through which to extract feature vector and classifiers for emotion recognition. The classifiers are able to distinguish the six primary types of emotion. Different types of classifier performance for speech emotion recognition are also discussed.
Kinematic Analysis of the Cervical Spine Following Implantation of an Artificial Cervical Disc

Study Design. Prospective cohort study. Objective. To assess the biomechanical profile of the cervical spine following cervical arthroplasty. Summary of Background Data. Spinal arthroplasty offers the promise of maintaining functional spinal motion, thereby potentially avoiding adjacent segment disease. Disc replacement may become the next gold standard for the treatment of degenerative cervical spine disease, and must be studied rigorously to ensure in vivo efficacy and safety. Methods. A total of 20 patients underwent single or 2-level implantation of the Bryan® artificial cervical disc (Medtronic Sofamor Danek, Memphis TN) for treatment of cervical degenerative disc disease producing radiculopathy and/or myelopathy. Lateral neutral, flexion, and extension cervical radiographs were obtained before surgery and at intervals up to 24 months after surgery. Kinematic parameters, including sagittal rotation, horizontal translation, change in disc height, and center of rotation (COR), were assessed for each spinal level using quantitative motion analysis software. Results. Motion was preserved in the operated spinal segments (mean range of motion 7.8°) up to 24 months following surgery. The relative contribution of each spinal segment to overall spinal sagittal rotation differed depending on whether the disc was placed at C5–C6 or C6–C7. Overall cervical motion (C2–C7) was moderately but significantly increased during late follow-up. Sagittal rotation, anterior and posterior disc height, translation, and COR coordinates did not change significantly following surgery. The COR was most frequently located posterior and inferior to the center of the disc space. Conclusions. The Bryan® artificial cervical disc provided in vivo functional spinal motion at the operated level, reproducing the preoperative kinematics of the spondylotic disc.
The development of human resource practitioner competency model perceived by Malaysian human resource practitioners and consultants

The development of HR competency models/frameworks is an area that has gained a great deal of interest over the years. Most of the notable HR competency models are developed in the US and Europe. HR competency models can assist HR Practitioners to observe their tasks and work dimensions, the competencies they are expected to acquire, and hence profess them. The aim of the study was to develop an empirically substantiated HR Practitioner Competency Model. The HR Practitioner Competency Model with significant competencies was developed through the administration of a self developed survey questionnaire and the target respondents were the HR practitioners and HR consultants in Malaysia. The study undertaken is an extrapolation of the notable studies carried out primarily by Brewster et al. (2000), Brockbank and Ulrich (2003), and Ulrich et al. (2008). The competency domains in the generic/behavioural competency category, business competency category, and the technical HR competency category were analysed using Exploratory factor analysis (EFA), Confirmatory factor analysis (CFA), and Structural equation modeling (SEM). Altogether 12 competency domains and 103 items were analysed. The competency categories significant in the study were the generic/behavioural competency category and the technical HR competency category. The business competency category was not significant in the study. The competency domains significant in the HR Practitioner Competency Model were: relationship building and process drivers; personal credibility and attributes; resourcing and talent management; and employee relations and compliance. Altogether 14 competency factors were significant in the study and these include process management, flexibility, information seeking, strong initiative, pride at work, pro-activeness, iii ability to change, leadership, organisation development, career planning, succession planning, human performance improvement, discipline, and occupational safety and health. The empirically tested HR Practitioner Competency Model was derived in a local Malaysian cultural setting and it will benefit the HR practitioners, HR consultants, HR communities of practice, the academia, organisations, and other related individuals.
Angiotensin-II subtype 2 receptor agonist (CGP-42112) inhibits catecholamine biosynthesis in cultured porcine adrenal medullary chromaffin cells.

Angiotensin II subtype 2 receptor (AT(2)-R) is abundantly expressed in adrenal medullary chromaffin cells. However, the physiological roles of AT(2)-R in chromaffin cells remain to be clarified. Therefore, we investigated the effects of CGP42112 (AT(2)-R agonist) on catecholamine biosynthesis in cultured porcine adrenal medullary cells. We initially confirmed AT(2)-R was predominantly expressed in porcine adrenal medullary cells by [(125)I]-Ang II binding studies. CGP42112 (>==1 nM) significantly inhibited cGMP production from the basal value. Tyrosine hydroxylase (TH) is a rate-limiting enzyme in the biosynthesis of catecholamine, and its activity is regulated by both TH-enzyme activity and TH-synthesis. CGP42112 (>==1 nM) significantly inhibited TH-enzyme activity from the basal value. These inhibitory effects of CGP42112 on TH-enzyme activity and-cGMP production were abolished by PD123319 (AT(2)-R antagonist) while CV-11974 (AT(1)-R antagonist) was ineffective. We also tested whether decrease of cGMP is involved in the inhibitory effect of CGP42112 on TH-enzyme activity. Pretreatment of 8-Br-cGMP (membrane-permeable cGMP analogue) prevented the inhibitory effect of CGP 42112 on TH-enzyme activity. Similar to that of TH-enzyme activity, CGP42112 (>==1 nM) significantly reduced TH-mRNA and TH-protein level from the basal value, and these inhibitory effects were abolished by PD123319 but not CV-11974. These findings demonstrate that CGP 42112 reduces both TH-enzyme activity and TH-synthesis and that these inhibitory effects could be mediated by decrease of cGMP production.
Identifying deterministic signals in simulated gravitational wave data: algorithmic complexity and the surrogate data method

We describe the application of complexity estimation and the surrogate data method to identify deterministic dynamics in simulated gravitational wave (GW) data contaminated with white and coloured noises. The surrogate method uses algorithmic complexity as a discriminating statistic to decide if noisy data contain a statistically significant level of deterministic dynamics (the GW signal). The results illustrate that the complexity method is sensitive to a small amplitude simulated GW background (SNR down to 0.08 for white noise and 0.05 for coloured noise) and is also more robust than commonly used linear methods (autocorrelation or Fourier analysis).
La importancia de la asociatividad para el desarrollo

El siguiente trabajo de investigacion, presenta una perspectiva integral de los factores que intervienen en los procesos de asociatividad comunitaria, y su relacion e importancia con el entorno en el que es aplicado, con la finalidad de proponer una estrategia que permita mejorar la asociatividad en el marco del desarrollo comunitario. A partir de los resultados se logro concluir la importancia de la relacion complementaria que existe entre los factores economicos y no economicos que intervienen en los procesos de asociatividad comunitaria y ademas se logro obtener una estrategia integral que estimule ambos factores en pro del desarrollo economico y social de nuestro objeto de estudio, la comuna de San Rafael en la Provincia de Santa Elena, Ecuador.