Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural determination of the substrate specificities and regioselectivities of the rat and human fatty acid omega-hydroxylases.

The substrate and regiospecificities of the known CYP4A enzymes from rat (CYP4A1, -4A2, -4A3, and -4A8) and human (CYP4A11) have been determined using lauric (C12), myristic (C14), palmitic (C16), oleic (C18:1), and arachidonic (C20:4) acids. The CYP4A2 and CYP4A8 cDNAs required to complete the enzyme set were cloned from a rat kidney library. All five proteins were expressed in Escherichia coli and were purified with the help of a six-histidine tag at the carboxyl terminus. Two complementary CYP4A2-CYP4A3 chimeras fused at residue 119 (CYP4A2) and 122 (CYP4A3) were constructed to explore the roles of the 18 amino acid differences between the parent proteins in determining their catalytic profiles. The chimera in which the first 119 amino acids are from CYP4A2 indicates that the first 120 amino acids control the substrate specificity. The chimera in which the first 122 amino acids are from CYP4A3 is inactive due to a defect in electron transfer to the heme group. The highest activity for lauric acid was obtained with CYP4A1 and CYP4A8, but for all the proteins the activity decreased with increasing fatty acid chain length. The fact that none of the rat and human CYP4A enzymes exhibits a high activity with arachidonic acid appears to limit their role as catalysts for the physiologically important conversion of arachidonic acid to 20-hydroxyeicosatetraenoic acid (20-HETE).
Aalborg Universitet Co-clustering for Weblogs in Semantic Space

Web clustering is an approach for aggregating web objects into various groups according to underlying relationships among them. Finding co-clusters of web objects in semantic space is an interesting topic in the context of web usage mining, which is able to capture the underlying user navigational interest and content preference simultaneously. In this paper we will present a novel web co-clustering algorithm named Co-Clustering in Semantic space (COCS) to simultaneously partition web users and pages via a latent semantic analysis approach. In COCS, we first, train the latent semantic space of weblog data by using Probabilistic Latent Semantic Analysis (PLSA) model, and then, project all weblog data objects into this semantic space with probability distribution to capture the relationship among web pages and web users, at last, propose a clustering algorithm to generate the co-cluster corresponding to each semantic factor in the latent semantic space via probability inference. The proposed approach is evaluated by experiments performed on real datasets in terms of precision and recall metrics. Experimental results have demonstrated the proposed method can effectively reveal the co-aggregates of web users and pages which are closely related.
Liquisolid Compact Technique for Improvement of the Dissolution Rate : A Review

DOI: 10.21276/sajp.2018. 7.3. 7 Abstract: The liquisoid compact technique is a promising technique to enhancing the dissolution of poorly water soluble drugs. About 40% of newly discovered drugs are poorly water soluble or water insoluble categories. Simple processing low cost and great potentials in industrial production are the main advanges of this technique. By using this technique, the liquid medications such as solutions or suspension of water insoluble drug can be easily converted in to powder with acceptable flow properties using suitable powder excipient. This review article is focused the formulation of liquisolid systems, classification of liquisolid systems, evaluation and its applications in the field of pharmaceutical sciences.
A General Model for Neural Text Generation from Structured Data

In this paper, we introduce an end-to-end neural networks model for Data-to-Text which aims to generate natural language description from structured data. Our model is based on the sequence-to-sequence model where three additional components are added to tackle challenges in Data-to-Text. First, we apply structured data embedding with both field name and field value information to represent the table better. Second, we apply the copy mechanism to tackle the rare or unknown problem in Data-to-Text. Third, we apply a kind of coverage mechanism to discourage the model from generating repetitive contents. Experiments on E2E NLG shared task indicate that our system show promising results in some of the automatic metrics (eg. BLEU) and naturalness from human evaluation.
Influence of mix design on the carbonation, mechanical properties and microstructure of reactive MgO cement-based concrete

This study assesses the influence of mix design on the hydration and carbonation of reactive MgO cement (RMC)-based concrete formulations by varying the water and cement contents. Samples were subjected to accelerated carbonation under 10% CO2 for up to 28 days and compared with corresponding PC-based samples. Their performance was analyzed by compressive strength, porosity, density, water sorptivity and thermal conductivity measurements. XRD, TGA/DSC and FESEM/SEM analyses were employed to investigate the formation of hydration and carbonation products and microstructural development. RMC samples achieved 28-day strengths of 62 MPa, which was comparable with PC samples. Strength gain of RMC samples was accompanied with a substantial decrease in porosity, determined by the amount and morphology of carbonates. The initial water content was more influential on final performance and thermal conductivity than cement content. Lower water contents led to higher strengths due to lower porosities and faster CO2 diffusion within dry mediums.
NUTRIENT AND FOOD INADEQUACIES AMONG ATHLETES : GENDER

The present study aimed to evaluate and compare the dietary intake between male and female athletes. The study included 80 high performance athletes, including 43 male and 37 female. The athletes dietary intake was evaluated by a 24-hour recall. Both groups showed a low caloric intake. Men were more inadequate in protein and saturated fat intake. Both groups showed a high inadequacy in vitamin A, E, D and calcium intake. Women had a higher inadequacy in vitamin B12, B3, magnesium, folate, phosphorus, and five times more probability of inadequate iron intake. Women had a more inadequate intake of fruit, meat. Athletes of both sexes present inadequacies on dietary intake, however, these were higher among women.
TIONS WITH EFFICIENT APPROXIMATIONS

The smallest eigenvectors of the graph Laplacian are well-known to provide a succinct representation of the geometry of a weighted graph. In reinforcement learning (RL), where the weighted graph may be interpreted as the state transition process induced by a behavior policy acting on the environment, approximating the eigenvectors of the Laplacian provides a promising approach to state representation learning. However, existing methods for performing this approximation are ill-suited in general RL settings for two main reasons: First, they are computationally expensive, often requiring operations on large matrices. Second, these methods lack adequate justification beyond simple, tabular, finite-state settings. In this paper, we present a fully general and scalable method for approximating the eigenvectors of the Laplacian in a model-free RL context. We systematically evaluate our approach and empirically show that it generalizes beyond the tabular, finite-state setting. Even in tabular, finite-state settings, its ability to approximate the eigenvectors outperforms previous proposals. Finally, we show the potential benefits of using a Laplacian representation learned using our method in goalachieving RL tasks, providing evidence that our technique can be used to significantly improve the performance of an RL agent.
Explorer Asynchronous Memory Access Chaining

In-memory databases rely on pointer-intensive data structures to quickly locate data in memory. A single lookup operation in such data structures often exhibits long-latency memory stalls due to dependent pointer dereferences. Hiding the memory latency by launching additional memory accesses for other lookups is an effective way of improving performance of pointer-chasing codes (e.g., hash table probes, tree traversals). The ability to exploit such inter-lookup parallelism is beyond the reach of modern out-of-order cores due to the limited size of their instruction window. Instead, recent work has proposed software prefetching techniques that exploit inter-lookup parallelism by arranging a set of independent lookups into a group or a pipeline, and navigate their respective pointer chains in a synchronized fashion. While these techniques work well for highly regular access patterns, they break down in the face of irregularity across lookups. Such irregularity includes variable-length pointer chains, early exit, and read/write dependencies. This work introduces Asynchronous Memory Access Chaining (AMAC), a new approach for exploiting interlookup parallelism to hide the memory access latency. AMAC achieves high dynamism in dealing with irregularity across lookups by maintaining the state of each lookup separately from that of other lookups. This feature enables AMAC to initiate a new lookup as soon as any of the in-flight lookups complete. In contrast, the static arrangement of lookups into a group or pipeline in existing techniques precludes such adaptivity. Our results show that AMAC matches or outperforms state-of-the-art prefetching techniques on regular access patterns, while delivering up to 2.3x higher performance under irregular data structure lookups. AMAC fully utilizes the available microarchitectural resources, generating the maximum number of memory accesses allowed by hardware in both singleand multi-threaded execution modes. This work is licensed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. For any use beyond those covered by this license, obtain permission by emailing info@vldb.org. Proceedings of the VLDB Endowment, Vol. 9, No. 4 Copyright 2015 VLDB Endowment 2150-8097/15/12.
Natural Variational Continual Learning

The goal of continual learning is to sequentially learn new skills without forgetting old ones. Recent continual-learning approaches have employed gradient-based approximate Bayesian inference methods to derive such algorithms. In this paper, we propose a natural-gradient method that unifies two recent approaches based on Laplace approximation and variational inference, respectively. Our method enables a plug-and-play implementation where the accuracy of the approximation can be traded off for the ease of implementation. Our method also enables a principled application of approximate Bayesian inference for continual learning, and gives competitive performance to the existing approaches.
Multi-frequency silicon nanofractal resonator

Novel top down Si-based electrostatically driven clamped-clamped resonator was manufactured. The resonating body (12 μm] in length) is a fractal with a hexagonal shape based on a cell-triangle with a side of 3.354 [pm]. The experimental measurements and simulations proved that the device can resonate at many different excitation frequencies allowing multiple operational responses. The size, and the power needed for actuation are comparable with the ones of single beam resonator.
Using Full-Scale Capsizing Accidents for the Validation of Numerical Seakeeping Simulations

It has become obvious that modern ships suffer from problems related to their seakeepingbehaviour, which is mainly related to large amplitude roll motion in head and following seas. An state-of-the-art tool to address the phenomena connected to these stability accidents are numerical seakeeping simulations. The present document analyses a number of real capsizing accidents, which are related to poor stability in rough weather, showing that numerical simulations are suitable to identify safe and un-safe conditions clearly for specific ships. For this purpose various criteria assessing the intact stability of ships are applied, including a new one, which was developed at Hamburg University of Technology in the recent years.
Exclusion of late infantile neuronal ceroid lipofuscinosis (LINCL) in a fetus by assay of tripeptidyl peptidase I in chorionic villi.

We report the exclusion of late infantile neuronal ceroid lipofuscinosis in a fetus by assay of tripeptidyl peptidase I activity and by mutational analysis in chorionic villi. This is the first pregnancy at risk for LINCL to be monitored by enzyme assay. No morphological abnormalities were detected.
Two-Way Relay Selection for Millimeter Wave Networks

In this letter, we investigate the potential benefits of deploying two-way amplify-and-forward relays to help bidirectional data exchange between two end users in a millimeter wave network. While the locations of the two end users are fixed, the locations of the potential relays are modeled as a homogeneous Poisson point process. A relay is thus selected to maximize the minimum of the two users’ end-to-end signal-to-noise ratios. For this system, we derive the coverage probability and show that the considered relay selection significantly outperforms the random selection scheme in terms of coverage and spectral efficiency.
Global Self-Rated Mental Health: Associations With Other Mental Health Measures and With Role Functioning

Background:A large body of research shows that global self-rated health is related to important outcome variables. Increasingly, studies also obtain a single global self-rating of mental health, but understanding of what this item measures is limited. Objective:To clarify interpretation of self-reported mental health, we examine its associations with other validated measures of mental health and role functioning. Research Design:We conducted cross-sectional analyses of nationally representative data from the Medical Expenditure Panel Survey. Measures:In-person household interviews obtained data on global self-reported mental health and any limitations in work, school, or housekeeping activities. Adult respondents (N = 11,109) completed the SF-12 health status survey, the K6 scale of nonspecific psychologic distress, and the Patient Health Questionnaire (PHQ-2) depression screener in a self-administered questionnaire. We used the SF-12 Mental Component Summary and the mental health subscale. Analyses examined associations among mental health measures and regressed activity limitations, and the SF-12 physical and emotional role functioning scales on mental health measures, controlling for demographics and selected chronic conditions. Results:The 4 multi-item mental health measures were strongly correlated with each other (r > 0.69), but correlated less strongly with the self-reported mental health item (r ≈ 0.4). In an exploratory factor analysis, self-reported mental health loaded on both mental and physical health factors. In multivariate analyses, each mental health variable was significantly associated with activity limitations and with role functioning, but the association of self-reported mental health with emotional role functioning was relatively weak. Conclusions:Although global self-rated mental health is related to symptoms of psychologic distress, it cannot be considered to be a substitute for them.
Identification and Characterization of a Tandem Repeat in Exon III of the Dopamine Receptor D 4 ( DRD 4 ) Gene in Cetaceans

A large number ofmammalian species harbor a tandem repeat in exon III of the geneencodingdopamine receptorD4 (DRD4), a receptor associated with cognitive functions. In this study, a DRD4 gene exon III tandem repeat from the order Cetacea was identified and characterized. Included in our study were samples from 10 white-beaked dolphins (Lagenorhynchus albirostris), 10 harbor porpoises (Phocoena phocoena), eight sperm whales (Physeter macrocephalus), and fiveminkewhales (Balaenoptera acutorostrata). Using enzymatic amplification followed by sequencing of amplified fragments, a tandem repeat composed of 18-bp basic units was detected in all of these species. The tandem repeats in white-beaked dolphin and harbor porpoisewerebothmonomorphic and consistedof 11 and12basic units, respectively. In contrast, the sperm whale harbored a polymorphic tandem repeat with size variants composed of three, four, and five basic units. Also the tandem repeat in minke whale was polymorphic; size variants composed of 6 or 11 basic units were found in this species. The consensus sequences of the basic unitswere identical in the closely related white-beaked dolphin and harbor porpoise, and these sequences differed by a maximum of two changes when compared to the remaining species. There was a high degree of similarity between the cetaceanbasic unit consensus sequences and those from members of the horse family and domestic cow, which also harbor a tandem repeat composed of 18bp basic units in exon III of their DRD4 gene. Consequently, the 18-bp tandem repeat appears to have originated prior to the differentiation of hoofed mammals into odd-toed and even-toed ungulates. The composition of the tandem repeat in cetaceans differed markedly from that in primates, which is composed of 48-bp repeat basic units.
Temporal Graph Generation Based on a Distribution of Temporal Motifs

Generating a synthetic graph that is similar to a given realworld graph is a critical requirement for privacy preservation and benchmarking purposes. Various generative models attempt to generate static graphs similar to real-world graphs. However, generation of temporal graphs is still an open research area. We present a temporal-motif based approach to generate synthetic temporal graph datasets and show results from three real-world use cases. We show that our approach can generate high fidelity synthetic graph. We also show that this approach can also generate multi-type heterogeneous graph. We also present a parameterized version of our approach which can generate linear, sub-linear, and superlinear preferential attachment graph.
Price-Sett ing and Exchange Rate Pass-Through in the Mexican Economy : Evidence from CPI Micro Data August 2016

As a consequence of the international environment, the currencies of many emerging market economies have experienced important depreciations in a context of high volatility in financial markets. The Mexican peso has not been the exception to the above situation. In this setting, the exchange rate pass-through into consumer prices deserves special attention as it allows us to evaluate the anchoring of inflation expectations in the Mexican economy. To address this issue, in this paper we use non-public micro data from the Mexican Consumer Price Index (CPI) to analyze the relation between exchange rate and price-setting in Mexico for the period between January 2011 and April 2016. Our estimates suggest that the exchange rate pass-through into consumer prices is low.
Cognitive-behavioral therapy and mindfulness : A case from a gender perspective 1234

The following study examined a single case of a young Hispanic man suffering from distorted body image and dysfunctional schemas about himself as a man, exacerbated by hair loss. He reported anxiety and depression related symptoms affecting his daily life functioning. Treatment considered for this case was centered on Cognitive Behavioral Therapy (CBT) with some guidelines suggested by a review of literature on gender role theory. During the course of treatment, other techniques based on mindfulness were included to target anxiety related symptoms, including: breathing exercises, yoga, and guided meditation. In addition, an imaginary exposure technique was conducted to further address patient symptomatology. To guide treatment, measures related to masculinity were used like the Male Role Norms Inventory (MRNI-SF), and the Health Behavior Inventory-20 (HBI-20) to assess preventive and health risk behaviors. A genogram was also used to explore family history and family dynamics. Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI) were used as clinical measures for baseline, post and follow up treatment. Masculinity issues, family dynamics and clinical outcomes are discussed.
The PMC 2 NT domain of the catalytic exosome subunit Rrp 6 p provides the interface for binding with its cofactor Rrp 47 p , a nucleic acid-binding protein

The exosome complex is a key component of the cellular RNA surveillance machinery and is required for normal 3’ end processing of many stable RNAs. Exosome activity requires additional factors such as the Ski or TRAMP complexes to activate the complex or facilitate substrate binding. Rrp47p promotes the catalytic activity of the exosome component Rrp6p, but its precise function is unknown. Here we show that recombinant Rrp47p is expressed as an apparently hexameric complex that specifically binds structured nucleic acids. Furthermore, pull-down assays demonstrated that Rrp47p interacts directly with the N-terminal region of Rrp6p that contains the functionally uncharacterized PMC2NT domain. Strains expressing a mutant form of Rrp6p lacking the N-terminal region failed to accumulate Rrp47p at normal levels, exhibited a slow growth phenotype characteristic of rrp47-" mutants and showed RNA processing defects consistent with loss of Rrp47p function. These findings suggest Rrp47p promotes Rrp6p activity by facilitating binding via the PMC2NT domain to structural elements within RNA. Notably, characterized Rrp6p substrates such as the 5.8S+30 species are predicted to contain helices at their 3’ termini, while others such as intergenic or antisense cryptic unstable transcripts could potentially form extensive double-stranded molecules with overlapping
Variation in duration of untreated psychosis in an 18‐year perspective

The Scandinavian TIPS project engineered an early detection of psychosis programme that sought to reduce the duration of untreated psychosis (DUP) through early detection teams and extensive information campaigns since 1997. In 1997–2000, DUP was reduced from 26 to 4.5 weeks median. The programme was continued beyond the initial project in modified forms for over 13 years. The aim of this study was to track the vicissitudes of DUP over an 18‐year period (1993–2010) with differing early detection efforts in a defined catchment area.
Publishing Company, Amsterdam - Printed in The Netherlands METAL CHELATES OF L-DOPA FOR IMPROVED REPLENISHMENT OF DOPAMINERGIC POOLS*

An exploratory study consisting of physicochemical and animal experiments was undertaken with the objective of developing one or more metal-L-DOPA chelate systems for an improved transport of L-DOPA into the brain. This approach is based on a theoretical speculation that the pyridoxal-dependent decarboxylation of L-DOPA in the precerebral areas might be obviated by an appropriate metal chelation of the aminocarboxylate end of the L-DOPA molecule. Equilibrium studies on the interactions of L-DOPA with Cu z+, Zn 2÷, Co 2+, Mg 2+ and Fe 2+ ions and their ATP chelates were~carried out in order to examine the conditions for the selective binding of the terminal amine group. Metal chelate systems for in vivo transport experiments were selected viz., Cu 2+ or Zn2+-L-DOPA (1:2) and Cu 2+ or Zn~+-ATP-L-DOPA (1:1:1) which contained the amine-bound metal ion in a completely coordinated form. Resuits of in vivo studies involving the intraperitoneal administration of 14Cand alllabeled L-DOPA compounds have shown a 100--150~ increase in the transport of L-DOPA into the brain by using the Cu 2+ and Zn 2÷ chelates over that effected by using the unchelated L-DOPA. A chromatographic analysis of the brain homogenates showed that only 6 ~ of the overall radioactivity of the brain could be attributed to 3-methoxytyrosine, and the remaining activity was due to DOPA, dopamine and norepinephrine. The transport effectiveness was also compared with that obtained by using the combination drug, RO4-4602 + L-DOPA.