Miracle-dz/UniFAR-FTUs huggingface dataset:
A low-power multiplying DLL for low-jitter multigigahertz clock generation in highly integrated digital chips

A multiplying delay-locked loop (MDLL) for high-speed on-chip clock generation that overcomes the drawbacks of phase-locked loops (PLLs) such as jitter accumulation, high sensitivity to supply, and substrate noise is described. The MDLL design removes such drawbacks while maintaining the advantages of a PLL for multirate frequency multiplication. This design also uses a supply regulator and filter to further reduce on-chip jitter generation. The MDLL, implemented in 0.18-/spl mu/m CMOS technology, occupies a total active area of 0.05 mm/sup 2/ and has a speed range of 200 MHz to 2 GHz with selectable multiplication ratios of M=4, 5, 8, 10. The complete synthesizer, including the output clock buffers, dissipates 12 mW from a 1.8-V supply at 2.0 GHz. This MDLL architecture is used as a clock multiplier integrated on a single chip for a 72/spl times/72 STS-1 grooming switch and has a jitter of 1.73 ps (rms) and 13.1 ps (pk-pk).
High-Resolution Metabolomics with Acyl-CoA Profiling Reveals Widespread Remodeling in Response to Diet*

The availability of acyl-Coenzyme A (acyl-CoA) thioester compounds affects numerous cellular functions including autophagy, lipid oxidation and synthesis, and post-translational modifications. Consequently, the acyl-CoA level changes tend to be associated with other metabolic alterations that regulate these critical cellular functions. Despite their biological importance, this class of metabolites remains difficult to detect and quantify using current analytical methods. Here we show a universal method for metabolomics that allows for the detection of an expansive set of acyl-CoA compounds and hundreds of other cellular metabolites. We apply this method to profile the dynamics of acyl-CoA compounds and corresponding alterations in metabolism across the metabolic network in response to high fat feeding in mice. We identified targeted metabolites (>50) and untargeted features (>1000) with significant changes (FDR < 0.05) in response to diet. A substantial extent of this metabolic remodeling exhibited correlated changes in acyl-CoA metabolism with acyl-carnitine metabolism and other features of the metabolic network that together can lead to the discovery of biomarkers of acyl-CoA metabolism. These findings show a robust acyl-CoA profiling method and identify coordinated changes of acyl-CoA metabolism in response to nutritional stress.
Fish with Chips: Tracking Reef Fish Movements to Evaluate Size and Connectivity of Caribbean Marine Protected Areas

Coral reefs and associated fish populations have experienced rapid decline in the Caribbean region and marine protected areas (MPAs) have been widely implemented to address this decline. The performance of no-take MPAs (i.e., marine reserves) for protecting and rebuilding fish populations is influenced by the movement of animals within and across their boundaries. Very little is known about Caribbean reef fish movements creating a critical knowledge gap that can impede effective MPA design, performance and evaluation. Using miniature implanted acoustic transmitters and a fixed acoustic receiver array, we address three key questions: How far can reef fish move? Does connectivity exist between adjacent MPAs? Does existing MPA size match the spatial scale of reef fish movements? We show that many reef fishes are capable of traveling far greater distances and in shorter duration than was previously known. Across the Puerto Rican Shelf, more than half of our 163 tagged fish (18 species of 10 families) moved distances greater than 1 km with three fish moving more than 10 km in a single day and a quarter spending time outside of MPAs. We provide direct evidence of ecological connectivity across a network of MPAs, including estimated movements of more than 40 km connecting a nearshore MPA with a shelf-edge spawning aggregation. Most tagged fish showed high fidelity to MPAs, but also spent time outside MPAs, potentially contributing to spillover. Three-quarters of our fish were capable of traveling distances that would take them beyond the protection offered by at least 40–64% of the existing eastern Caribbean MPAs. We recommend that key species movement patterns be used to inform and evaluate MPA functionality and design, particularly size and shape. A re-scaling of our perception of Caribbean reef fish mobility and habitat use is imperative, with important implications for ecology and management effectiveness.
The Third Wheel: The Impact of Twitter Use on Relationship Infidelity and Divorce

The purpose of this study was to examine how social networking site (SNS) use, specifically Twitter use, influences negative interpersonal relationship outcomes. This study specifically examined the mediational effect of Twitter-related conflict on the relationship between active Twitter use and negative relationship outcomes, and how this mechanism may be contingent on the length of the romantic relationship. A total of 581 Twitter users aged 18 to 67 years (Mage=29, SDage=8.9) completed an online survey questionnaire. Moderation-mediation regression analyses using bootstrapping methods indicated that Twitter-related conflict mediated the relationship between active Twitter use and negative relationship outcomes. The length of the romantic relationship, however, did not moderate the indirect effect on the relationship between active Twitter use and negative relationship outcomes. The results from this study suggest that active Twitter use leads to greater amounts of Twitter-related conflict among romantic partners, which in turn leads to infidelity, breakup, and divorce. This indirect effect is not contingent on the length of the romantic relationship. The current study adds to the growing body of literature investigating SNS use and romantic relationship outcomes.
Modifications in K-Means Clustering Algorithm

In our study, we introduce modifications in hard K-means algorithm such that algorithm can be used for clustering data with categorical attributes. To use the algorithm for categorical data, modifications in distance and prototype calculation are proposed. To use the algorithm on numerical attribute values, mean is calculated to represent centre, and euclidean distance is used to calculate distance. Whereas, to use it on categorical attribute values, proportional representation of all the categorical values (probability) is used to represent center, and proportional weight difference is used as distance measure. For mixed data, we used discretization on numerical attributes to convert these attribute in categorical attribute. And algorithm used for categorical attributes is used. Other modifications use the combined fundamentals from rough set theory, fuzzy sets and possibilistic membership incorporated in k-means algorithm for numeric value only data. Same modifications are applied on the algorithm developed for categorical, and mixed attribute data. Approximation concept from rough set theory deals with uncertainty, vagueness, and incompleteness. Fuzzy membership allows dealing with efficient handling of overlapping clusters. Possibi1istic approach simply uses the membership value of data point in a cluster that represents the typicality of the point in the cluster, or the possibility of the point belonging to the cluster. Noise points or outliers are less typical; hence typicality-based (possibilistic) memberships reduce the effect of noise points and outliers. To verify the performance of algorithms DB index and objective function values are used.
Overview of Process Trend Analysis Methods and Applications

This paper surveys trend analysis methods and their applications in process industry. Basic principles of several methods are presented together with known applications in process monitoring, diagnosis and control. In the first place, the methods presented analyse process measurements or some calculated quantities as time series using various pattern recognition methods. Also computationally much more lighter methods such as linear regression based methods are included.
Evaluation of smile esthetics using dimensional analysis: An In Vivo study

AIM OF THE STUDY: To evaluate smile esthetics in all three planes of space from the frontal and profile view, and to relate it to overall facial attractiveness. Materials and Methodology: A total of 20 samples were included in the study and divided equally into 2 groups based on gender; following which objective and subjective assessments were done. All standardization procedures were carried out and a video of 10 seconds duration was recorded with two cameras, placed at right angles to each other, covering both the views at the same time. The best frame depicting unstrained posed smile was selected for both the views and transferred to SmileDesignerPro software and Microsoft Office PowerPoint and quantification was done for objective assessments. A questionnaire together with a template consisting of photographs in frontal and profile view were distributed to the samples for assessing facial attractiveness subjectively. RESULTS: Statistical analysis was done using the statistical software SPSS version 22.0 for Windows. For continuous variables, means and standard deviations were calculated. Chi- square test, N – par test, ANOVA test, Percentage analysis, Cross tabulations were carried out for each parameter. Intra group and inter group comparisons were carried out for both the views based on gender; separately for objective and subjective assessments. Statistically significant values were obtained in transverse and sagittal planes of space. 70% of males and 40% of females selected chin as the best viewable structure from profile view to assess overall facial attractiveness. 90% of males and females had selected teeth as the best viewable structure from frontal view to assess overall facial attractiveness. 77.8% of males and 71.4% of females had opted for correction of their teeth to improve their overall facial attractiveness. CONCLUSION: No objective measures of smile could predict attractive or unattractive smiles as judged subjectively. This could be attributed to the fact that individual perception of smile esthetics is influenced by national/cultural backgrounds which in turn can affect multiple variables in unequal ways.
Chinese-English Phone Set Construction for Code-Switching ASR Using Acoustic and DNN-Extracted Articulatory Features

This study proposes a data-driven approach to phone set construction for code-switching automatic speech recognition (ASR). Acoustic and context-dependent cross-lingual articulatory features (AFs) are incorporated into the estimation of the distance between triphone units for constructing a Chinese-English phone set. The acoustic features of each triphone in the training corpus are extracted for constructing an acoustic triphone HMM. Furthermore, the articulatory features of the “last/first” state of the corresponding preceding/succeeding triphone in the training corpus are used to construct an AF-based GMM. The AFs, extracted using a deep neural network (DNN), are used for code-switching articulation modeling to alleviate the data sparseness problem due to the diverse context-dependent phone combinations in intra-sentential code-switching. The triphones are then clustered to obtain a Chinese-English phone set based on the acoustic HMMs and the AF-based GMMs using a hierarchical triphone clustering algorithm. Experimental results on code-switching ASR show that the proposed method for phone set construction outperformed other traditional methods.
Epilepsy in Children with ASD: An Overview of Evaluation Procedures, Child Characteristics and Treatment Options

Abstract The rates of epilepsy among children with autism spectrum disorders (ASD) are higher than that of the general population. The exact prevalence and aetiology of the comorbidity of autism and epilepsy are not well understood; however, the connection is well-documented. This common comorbidity makes the treatment of epilepsy increasingly complex for children with ASD. The purpose of this article is to provide an overview of the relevant literature for individuals with epilepsy with a particular focus on individuals with both ASD and epilepsy according to the following framework: (a) evaluation procedures, (b) child characteristics and outcomes and (c) treatment options. Thirty articles met specific inclusion criteria. Several treatment options for epilepsy in children with ASD were uncovered, including medications, vagus nerve stimulation and surgery. Still, more research is needed to identify comprehensive treatments that have been empirically proven to be successful for children with ASD.
Safety and long-term effect of the probiotic FK-23 in patients with hepatitis C virus infection

A clinical trial was conducted on 39 adult HCV-positive subjects to determine the safety and long-term effect of the probiotic FK-23 (heat-treated Enterococcus faecalis strain FK-23). Asymptomatic anti-HCV positive adults who fulfilled the selection criteria and gave voluntary consent were recruited from attendees of the Hepatitis Carrier Clinic, Department of Medical Research (Lower Myanmar). Each subject was given 2,700 mg of FK-23 per day by oral route. Blood samples were taken at enrollment and every 3 months and tested for alanine aminotransferase (ALT) and aspartate transaminase (AST). Viral load, urea, total protein, hemoglobin and platelet count were determined every 6 months. Among the subjects, 23 completed 36 months, 31 completed 24 months, 35 completed 12 months and 37 completed 6 months of probiotic therapy. Significant decreases in mean ALT levels were observed at 3 months (34. 9 ± 15.1 IU/l) as compared with the initial level (64.8 ± 17.5 IU/l) and persisted up to 36 months (43.7 ± 25.2 IU/l). Decrease of AST was detected after 9 months (46.2 ± 21.7 IU/l) of probiotic therapy as compared with the initial level (64.3 ± 28.7 IU/l). FK-23 was safe based on the stable levels of biochemical and hematological parameters and the absence of untoward side effects. The FK-23 preparation was well tolerated and accepted by the subjects.
Endoperoxide antimalarials: development, structural diversity and pharmacodynamic aspects with reference to 1,2,4-trioxane-based structural scaffold

Malaria disease continues to be a major health problem worldwide due to the emergence of multidrug-resistant strains of Plasmodium falciparum. In recent days, artemisinin (ART)-based drugs and combination therapies remain the drugs of choice for resistant P. falciparum malaria. However, resistance to ART-based drugs has begun to appear in some parts of the world. Endoperoxide compounds (natural/semisynthetic/synthetic) representing a huge number of antimalarial agents possess a wide structural diversity with a desired antimalarial effectiveness against resistant P. falciparum malaria. The 1,2,4-trioxane ring system lacking the lactone ring that constitutes the most important endoperoxide structural scaffold is believed to be the key pharmacophoric moiety and is primarily responsible for the pharmacodynamic potential of endoperoxide-based antimalarials. Due to this reason, research into endoperoxide, particularly 1,2,4-trioxane-, 1,2,4-trioxolane- and 1,2,4,5-teraoxane-based scaffolds, has gained significant interest in recent years for developing antimalarial drugs against resistant malaria. In this paper, a comprehensive effort has been made to review the development of endoperoxide antimalarials from traditional antimalarial leads (natural/semisynthetic) and structural diversity of endoperoxide molecules derived from 1,2,4-trioxane-, 1,2,4-trioxolane- and 1,2,4,5-teraoxane-based structural scaffolds, including their chimeric (hybrid) molecules, which are newer and potent antimalarial agents.
Dietary Flaxseed Interaction With Tamoxifen Induced Tumor Regression in Athymic Mice With MCF-7 Xenografts by Downregulating the Expression of Estrogen Related Gene Products and Signal Transduction Pathways

Abstract Our previous short-term study has shown that 10% flaxseed (FS) inhibits the growth of human estrogen dependent estrogen receptor positive breast tumors (MCF-7) xenografts in ovariectomized (OVX) athymic mice and enhances the tumor inhibitory effect of tamoxifen (TAM). This study determined the long-term effect of 5% and 10% FS, with or without TAM, on the growth of MCF-7 xenografts in athymic mice and the potential mechanisms of actions. OVX mice with established MCF-7 tumors were treated with basal diet (control), 5% FS (5FS), 10% FS (10FS), and TAM (5 mg/pellet, 60-day release), alone or in combination, for 16 wk without estrogen supplementation. Tumor growth was monitored weekly. At sacrifice, the tumors were analyzed by immunohistochemistry for cell proliferation, apoptosis, and expression of estrogen-related genes and signal transduction pathways. Both 5FS and 10FS regressed the pretreatment tumor size by over 90% similar to control. TAM initially regressed the tumors but then induced a regrowth; thus, only a final 6% reduction from pretreatment tumor size was achieved, which was attenuated by combining TAM with 10FS but not with 5FS. TAM combined with 10FS regressed tumors to 55% of pretreatment tumor size due to decreased cell proliferation and increased apoptosis. The expressions of cyclin D1, estrogen receptor α, human epidermal growth factor receptor 2, and insulin-like growth factor I receptor in the TAM group were significantly reduced when TAM was combined with 5FS or 10FS. In conclusion, after long-term treatment, FS did not stimulate tumor growth and combined with TAM, regressed tumor size in part due to downregulation of the expression of estrogen-related gene products and signal transduction pathways.
CARMA Millimeter-Wave Aperture Synthesis Imaging of the HD 32297 Debris Disk

We present the first detection and mapping of the HD 32297 debris disk at 1.3 mm with the Combined Array for Research in Millimeter-wave Astronomy (CARMA). With a subarcsecond beam, this detection represents the highest angular resolution (sub)mm debris disk observation made to date. Our model fits to the spectral energy distribution from the CARMA flux and new Spitzer MIPS photometry support the earlier suggestion that at least two, possibly three, distinct grain populations are traced by the current data. The observed millimeter map shows an asymmetry between the northeast and southwest disk lobes, suggesting large grains may be trapped in resonance with an unseen exoplanet. Alternatively, the observed morphology could result from the recent breakup of a massive planetesimal. A similar-scale asymmetry is also observed in scattered light but not in the mid-infrared. This contrast between asymmetry at short and long wavelengths and symmetry at intermediate wavelengths is in qualitative agreement with predictions of resonant debris disk models. With resolved observations in several bands spanning over three decades in wavelength, HD 32297 provides a unique test bed for theories of grain and planetary dynamics, and could potentially provide strong multiwavelength evidence for an exoplanetary system.
Optical injection-locked gain-lever distributed Bragg reflector lasers with enhanced RF performance

Directly modulated fiber-optic links offers significant advantages in system cost and complexity. However, they often suffer from high link loss and inferior RF performance compared with externally modulated links. In this paper, we have experimentally investigated the amplitude modulation (AM) efficiency, modulation bandwidth, and the nonlinear distortions of a directly-modulated gain-lever distributed Bragg reflector (DBR) laser under external light injection for the first time. By combining gain-lever modulation with optical injection locking, increased modulation efficiency (10 dB) and bandwidth (3 times) as well as suppressed third-order intermodulation distortion (15 dB) have been achieved simultaneously.
Inhibition of Toll-like Receptor and Cytokine Signaling—A Unifying Theme in Ischemic Tolerance

Cerebral ischemia triggers acute inflammation, which exacerbates primary brain damage. Activation of the innate immune system is an important component of this inflammatory response. Inflammation occurs through the action of proinflammatory cytokines, such as TNF, IL-1β and IL-6, that alter blood flow and increase vascular permeability, thus leading to secondary ischemia and accumulation of immune cells in the brain. Production of these cytokines is initiated by signaling through Toll-like receptors (TLRs) that recognize host-derived molecules released from injured tissues and cells. Recently, great strides have been made in understanding the regulation of the innate immune system, particularly the signaling mechanisms of TLRs. Negative feedback inhibitors of TLRs and inflammatory cytokines have now been identified and characterized. It is also evident that lipid rafts exist in membranes and play a role in receptor-mediated inflammatory signaling events. In the present review, using this newly available large body of knowledge, we take a fresh look at studies of ischemic tolerance. Based on this analysis, we recognize a striking similarity between ischemic tolerance and endotoxin tolerance, an immune suppressive state characterized by hyporesponsiveness to lipopolysaccharide (LPS). In view of this analogy, and considering recent discoveries related to molecular mechanisms of endotoxin tolerance, we postulate that inhibition of TLR and proinflammatory cytokine signaling contributes critically to ischemic tolerance in the brain and other organs. Ischemic tolerance is a protective mechanism induced by a variety of preconditioning stimuli. Tolerance can be established with two temporal profiles: (i) a rapid form in which the trigger induces tolerance to ischemia within minutes and (ii) a delayed form in which development of protection takes several hours or days and requires de-novo protein synthesis. The rapid form of tolerance is achieved by direct interference with membrane fluidity, causing disruption of lipid rafts leading to inhibition of TLR/cytokine signaling pathways. In the delayed form of tolerance, the preconditioning stimulus first triggers the TLR/cytokine inflammatory pathways, leading not only to inflammation but also to simultaneous upregulation of feedback inhibitors of inflammation. These inhibitors, which include signaling inhibitors, decoy receptors, and anti-inflammatory cytokines, reduce the inflammatory response to a subsequent episode of ischemia. This novel interpretation of the molecular mechanism of ischemic tolerance highlights new avenues for future investigation into the prevention and treatment of stroke and related diseases.