Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a compact wideband slot antenna using parasitic reactive tuning

Multi-band antennas are increasingly deployed in wireless systems (e.g., cellular base stations) utilizing multiple dissimilar radiators with separate feed networks for each band. A major difficulty in such design is to control the isolation between bands, and often the elements are widely separated in space, for example, by allocating the antennas for each frequency band to a separate dielectric layer. Two major challenges to overcome then are the increased array size and weight, and the complexity in feed design. This paper presents the design of a compact, dual-port, printed slot antenna that employs parasitic reactive coupling from an inter-digitated capacitor (IDC) embedded in the microstrip feed line to provide broadband impedance matching. An overlay film above the IDC (such as low-loss graphene thin films) can be incorporated in the design for additional tunability of the wide frequency band. Antenna losses are minimized by isolating the IDC and the film from the radiator. The effects of the IDC and the overlay film's surface impedance variation are parametrically examined through simulations, and the wide impedance bandwidth (greater than 100%) is experimentally corroborated with and without a graphene overlay film.
Bayesian Analysis of a Health Insurance Model

We consider the problem of determining health insurance premiums based on past information on size of loss, number of losses, and size of population at risk. The size of loss and the number of losses are treated as mutually independent random variables. The number of losses is assumed to follow a Poisson process, and the loss sizes are independent and identically distributed non-negative random variables, and the population at risk is assumed to follow a non-linear growth model. An expression for the premium is obtained through maximization of the insurer's expected utility under a Bayesian model. The parameter estimation process is based on Monte Carlo Markov chain (MCMC). Our methology is applied to two real data sets.
First Archaeal Inorganic Polyphosphate/ATP-Dependent NAD Kinase, from Hyperthermophilic Archaeon Pyrococcus horikoshii: Cloning, Expression, and Characterization

ABSTRACT The gene (PH1074) encoding the NAD kinase of the hyperthermophilic archaeon Pyrococcus horikoshii was identified in the genome database, cloned, and functionally expressed in Escherichia coli. The recombinant enzyme was purified to homogeneity by heat treatment at 90°C for 20 min and one successive HiTrap affinity chromatography step. The purified enzyme was easily precipitated by dialysis against phosphate buffer without NaCl and imidazole and was usually stored in buffer containing 0.5 M NaCl and 0.5 M imidazole to avoid precipitation. The molecular mass of the active enzyme was determined to be 145 kDa by a gel filtration method, and the enzyme was composed of a tetramer of 37-kDa subunits. The archaeal enzyme utilized several nucleoside triphosphates, such as GTP, CTP, UTP, and ITP, as well as ATP and inorganic polyphosphates [poly(P)] as phosphoryl donors for NAD phosphorylation. The enzyme utilized poly(P)27 (the average length of the phosphoryl chain was 27) as the most active inorganic polyphosphate for NAD phosphorylation. Thus, this enzyme is categorized as an inorganic polyphosphate/ATP-dependent NAD kinase. The enzyme was the most thermostable NAD kinase found to date: its activity was not lost by incubation at 95°C for 10 min. The enzyme showed classical Michaelis-Menten-type kinetics for NAD and ATP, but not for poly(P)27. The Km values for NAD were determined to be 0.30 and 0.40 mM when poly(P)27 and ATP, respectively, were used as the phosphoryl donors. The Km value for ATP was 0.29 mM, and the concentration of poly(P)27 which gave half of the maximum enzyme activity was 0.59 mM. The enzyme required several metal cations, such as Mg2+, Mn2+, or Ni2+, for its activity. The deduced amino acid sequence showed a low level of identity to those of E. coli ATP-dependent NAD kinase (31%) and the inorganic polyphosphate/ATP-dependent NAD kinase of Mycobacterium tuberculosis (29%). This is the first description of the characteristics of a poly(P)/ATP-dependent NAD kinase from a hyperthermophilic archaeon.
Molecular Profiling of Mammary Analog Secretory Carcinoma Revealed a Subset of Tumors Harboring a Novel ETV6-RET Translocation: Report of 10 Cases

ETV6 gene abnormalities are well described in tumor pathology. Many fusion partners of ETV6 have been reported in a variety of epithelial, mesenchymal, and hematological malignancies. In salivary gland tumor pathology, however, the ETV6-NTRK3 translocation is specific for (mammary analog) secretory carcinoma, and has not been documented in any other salivary tumor type. The present study comprised a clinical, histologic, and molecular analysis of 10 cases of secretory carcinoma, with typical morphology and immunoprofile harboring a novel ETV6-RET translocation.
Comparisons of confidence intervals for attributable risk.

Confidence intervals for the attributable risk in various epidemiologic study designs are obtained, via a transformation, from the confidence interval for the natural logarithm of the product of the probability of being exposed to the risk factor, and the risk ratio minus one. When the estimated attributable risk is between . 21 and . 79, the width of the logarithmic transformation (LT)-based interval is less than that for a maximum likelihood (ML)-based interval. This simple sufficient condition applies to all three well-known epidemiologic study designs. Computer simulation results further demonstrate the superiority of the LT-based interval to the ML-based one when the sufficient condition is satisfied.
Toward a Test Environment for Autonomous Controllers

In the last two decades, an increasing attention has been dedicated on the use of high level task planning in robotic control, aiming to deploy advanced robotics systems in challenging scenarios where a high autonomy degree is required. Nevertheless, an interesting open problem in the literature is the lack of a well deﬁned methodology for approaching the de-sign of deliberative systems and for fairly comparing different approaches to deliberation. This paper presents the general idea of an environment for facilitating knowledge engineering for autonomy and in particular to facilitate accurate experiments on planning and execution systems for robotics. It discusses features of the On-Ground Autonomy Test Environment (OGATE), a general testbench for interfacing deliberative modules. In particular we present features of an initial instance of such system built to support the G OAC robotic software.
Infinite-dimensional statistical manifolds based on a balanced chart

We develop a family of infinite-dimensional Banach manifolds of measures on an abstract measurable space, employing charts that are balanced between the density and log-density functions. The manifolds, (Mλ,λ e [2,∞)), retain many of the features of finite-dimensional information geometry; in particular, the α-divergences are of class C[λ]-1, enabling the definition of the Fisher metric and α-derivatives of particular classes of vector fields. Manifolds of probability measures, (Mλ,λ e [2,∞)), based on centred versions of the charts are shown to be C[λ]-1-embedded submanifolds of the. Mλ. The Fisher metric is a pseudo-Riemannian metric on. Mλ. However, when restricted to finite-dimensional embedded submanifolds it becomes a Riemannian metric, allowing the full development of the geometry of α-covariant derivatives. Mλ and Mλ provide natural settings for the study and comparison of approximations to posterior distributions in problems of Bayesian estimation.
Parametric Analysis of Grid Amplifiers

In this work a parametrical analysis of grid amplifier performances will be presented. The proposed analysis will be carried out using a simple equivalent transmission line model where each element of the grid is simulated in an infinite array environment deriving an S-matrix representation from a full wave analysis. Therefore, this technique allows the real geometry of each part of the circuit to be taken into account while preserving the simulation efficiency. Results will show how the most significant geometrical and electrical parameters of the grid amplifier influence its performances.
Expression of Adhesion‐Related Membrane Components in Adherent Versus Nonadherent Hamster Melanoma Cells

The existence of integral membrane components that are involved in cell–substratum adhesion has been postulated. Using an immunochemical approach developed in this laboratory, we provide further evidence for the role in cell–substratum adhesion of integral membrane glycoproteins within a molecular weight region of 120,000–140,000. Sodium dodecyl sulfate polyacrylamide gel electrophoresis analysis of material enriched approximately 100‐fold in adhesion‐related components revealed the 120,000–140,000 Mr glycoproteins in an adherent hamster melanoma cell line. These glycoproteins are greatly reduced in a non‐adherent variant. Induction of adhesion in these cells by exposure to BudR is accompanied by re‐expression of the surface adhesion antigens.
The linguistic anatomy of individual differences in Japanese monologues: focusing on particles and interjections

This is a linguistic study on idiosyncrasy manifested through language use in Japanese monologues. For this purpose, we use speaker classification techniques as analytical tools. Focusing on Japanese particles, the subcategories of these particles, and interjections, we aim to find out to what extent Japanese speakers are idiosyncratic in selecting certain words above others in monologues. We are interested in how differently or similarly the individualising information of speakers is manifested between the subcategories of these particles, and also between particles and interjections. The genres of the monologues in this study vary from conference presentations on various topics covering humanities, social sciences, natural sciences and engineering to mock public speeches on a variety of general topics, such as “most pleasant memory,” “about your community,” etc. We demonstrate in this study that Japanese particles and interjections carry different degrees of individualising information. We also discuss what contributes to the identified differences between them.
New intermediate phenotype between MED and DD caused by compound heterozygous mutations in the DTDST gene

DTDST mutations cause a spectrum of diastrophic dysplasia disorders characterized by defects of proteoglycans sulfation. Reduction of sulfate/chloride antiporter activity is manifested by lower sulfate uptake and depends on a combination of mutations in DTDST. We analyzed a family with an autosomal recessive form of bone dysplasia. Three affected brothers from this family are compound heterozygotes for C653S/A715V mutations. We classified their phenotype as a new intermediate form between diastrophic dysplasia and multiple epiphyseal dysplasia, manifested by shortening of stature, metatarsus adductus/club foot, mild brachydactyly, proximally placed thumbs and clinodactyly of the fifth fingers. Radiographs document platyspondyly most marked in the lower thoracic and upper lumbar spine, epiphyseal dysplasia affecting predominantly the femoral heads, widening of the metaphyses, narrow growth cartilage and multilayered patellae. Exaggerated lesser trochanters of femur, that is, “monkey wrench” sign, elevated greater trochanters, thin upper pubic rami, grossly normal carpal/tarsal bones and severe, early onset osteoarthritis were other notable features. © 2010 Wiley‐Liss, Inc.
Discovery of Regular and Irregular Spatio-Temporal Patterns from Location-Based SNS by Diffusion-Type Estimation

In this paper, a new approach is proposed for extracting the spatio-temporal patterns from a location-based social networking system (SNS) such as Foursquare. The proposed approach consists of the following procedures. First, the spatio-temporal behaviors of users in SNS are approximated as a probabilistic distribution by using a diffusion-type formula. Since the SNS datasets generally consist of sparse check-in’s of users at some time points and locations, it is difficult to investigate the spatio-temporal patterns on a wide range of time and space scales. The proposed method can estimate such wide range patterns by smoothing the sparse datasets by a diffusion-type formula. It is crucial in this method to estimate robustly the scale parameter by giving a prior generative model on check-in’s of users. The robust estimation enables the method to extract appropriate patterns even in small local areas. Next, the covariance matrix among the time points is calculated from the estimated distribution. Then, the principal eigenfunctions are approximately extracted as the spatio-temporal patterns by principal component analysis (PCA). The distribution is a mixture of various patterns, some of which are regular ones with a periodic cycle and some of which are irregular ones corresponding to transient events. Though it is generally difficult to separate such complicated mixtures, the experiments on an actual Foursquare dataset showed that the proposed method can extract many plausible and interesting spatiotemporal patterns. key words: data mining, SNS, spatio-temporal pattern, diffusion-type formula, Bayesian estimation, principal component analysis
On Headache and Cerebrovascular Disease

Headache is a common symptom of ischemic and hemorrhagic stroke (1, 2). In this issue of Cephalalgia, two studies of headache and cerebrovascular disease are reported (3, 4). Arboix et al. (3) present the results of a prospective study of the frequency and clinical characteristics of headache in stroke. The authors found that: (a) all patients with subarachnoid hemorrhage develop headache; (b) headache occurs more commonly with hemorrhagic than with ischemic stroke; (c) patients with ischemic stroke in the vertebrobasilar territory are more likely to complain of headache than patients with carotid territory stroke; and (d) the clinical characteristics of stroke-related headaches are variable and do not predict the mechanism or the location of the cerebral event. Similar conclusions have been reached in several other series (1, 2). In our Henry Ford Hospital Stroke Data Bank, the frequency of headache with ischemic stroke was 30%; vertebrobasilar territory strokes were more likely to cause headache than carotid territory strokes. It is intriguing that headache is a more consistent feature of vertebrobasilar than carotid territory strokes. Possibly, the former activates the trigemino-vascular system and thus causes headache more frequently. Arboix et al. (3) also found that headache accompanies "lacunar infarction" in 23% of patients, a surprisingly high rate when compared to the 3-17% range reported in other series (1, 2), including the most recent study from Denmark (5). As pointed out by Mitsias (1), the likely reason for this wide range is the different definitions of lacunar infarction used in each study. Furthermore, these findings suggest that cerebral ischemia in patients with headache and lacunar infarction are related to occlusion, partial or complete, of the proximal cerebral arteries instead of small vessel disease, since the intraparenchymal arterial penetrators are pain-insensitive.
Adapting ChER for the recognition of chemical mentions in patents

ChER (Chemical Entity Recogniser) is a pipeline of natural language processing tools optimised for the recognition of chemical names in scientific abstracts. It formed the basis of our submissions to the previous edition of the CHEMDNER track in BioCreative IV, and was one of the top-performing systems both for the chemical document indexing (CDI) and chemical entity mention recognition (CEM) subtasks. As part of our contribution to the new chemical patents-focussed CHEMDNER track in BioCreative V, we adapted ChER for the recognition of chemical names in medicinal chemistry patent documents. As our previous study showed that the incorporation of chemical dictionary features brings about the most significant boost in performance, we focussed our current efforts on investigating the contribution of features drawn from various semantic resources, including RxNorm, US FDA’s Orange Book, Health Canada’s Drug Product Database and BioSemantics’ Chemical Patent Corpus. Results of our methods on the CHEMDNER test corpus demonstrate that the addition of features based on patent-specific dictionaries gives the most optimal performance on the Chemical Entity Mention in Patents (CEMP) task.
Development of Spectrophotometric Method for the Assay of Aminocaproic Acid in Dosage Forms Using Ascorbic Acid

A simple and selective colorimetric method was developed for the quantification of aminocaproic acid (ACA) in bulk and pharmaceutical formulations. The method was based on the coupling of ACA with ascorbic acid to give a colored product having analytically useful maxima at 390 and 530 nm. The factors; which are mainly concentration of ascorbic acid and heating time; affecting the color development were optimized and incorporated in the procedure. Regression analysis of Beer's plot showed good correlation (r=0.999) in a concentration range of 4-20 µg/mL. The molar absorptivity of the reaction product was 2492.6 L mole cm -1 . The limit of detection was 0.86 µg/mL and 0.29 µg/mL at 390 nm and 530 nm respectively. The average recovery for the commercial preparation (Aminocaproic acid injections, 250 mg/ 20 mL) was 108.23±1.45% (n=3) which reflected no interference by the injection excipients. Based on the molar ratio, the reaction stoichiometry was found to be 1:1.
Study of a flexible payload for S-band mobile broadcasting to multiple shaped beams

A feasibility study for a satellite multimedia broadcasting mobile system (S-MBMS) operating in S-band (2170-2200 MHz) was recently performed by the European Space Agency (ESA). The target coverage was defined to consist of multiple-shaped-beams coinciding with European countries or language homogeneous areas. Considering the noticeable effective aperture required in S-band from the geostationary orbit, the most promising antenna architecture is based on large-size deployable-reflectors fed by complex arrays (array fed reflector - AFR). The key payload element is the high power section which provides RF power generation and distribution to feeds with appropriate amplitude and phase to realize differently shaped beams. Several configurations with different amplitude and phase beamforming constraints can be considered as suitable candidates. The outcome of the undertaken design and optimization activity is a promising architectural solution showing a high degree of coverage reconfigurability as well as an almost full freedom in power-to-beam allocation.
Two new compounds from Khaya senegalensis

Two new compounds, khayseneganin I (1) and 2α,3α,16β-trihydroxy-20-acetoxy-20(R)-pregnane (2), along with six known compounds, 2α,3α,20-trihydroxy-16β-acetoxy-20(R)-pregnane (3), 2α,3β-dihydroxypregnan-16-one-2β,19-hemiketal (4), (+)-catechin (5), ivorenolide A (6), luteolin-7-O-α-l-rhamnoside (7), and ( − )-5′-methoxy-isolariciresinol-2a-O-β-d-xylopyranoside (8), were isolated from the leaves and twigs of Khaya senegalensis. The structures of new compounds were elucidated by 2D NMR spectroscopy and MS. Selected compounds (2–8) were evaluated for their antimicrobial activities and compounds 5 and 7 showed weak antimicrobial activities against MRSA 92# and MRSA 98#.
Nuclear Membranes ETB Receptors Mediate ET-1–induced Increase of Nuclear Calcium in Human Left Ventricular Endocardial Endothelial Cells

Abstract: In fetal human left ventricular endocardial endothelial cells (EECLs), both plasma membrane (PM) ETAR and ETBR were reported to mediate ET-1–induced increase of intracellular calcium [Ca]i; however, this effect was mediated by ETAR in right EECs (EECRs). In this study, we verified whether, as for the PM, nuclear membranes (NMs) ET-1 receptors activation in EECLs and EECRs induce an increase of nuclear calcium ([Ca]n) and if this effect is mediated through the same receptor type as in PM. Using a plasmalemma-perforated technique and 3D confocal microscopy, our results showed that, as in PM intact cells, superfusion of nuclei of both cell types with cytosolic ET-1 induced a concentration-dependent sustained increase of [Ca]n. In EECRs, the ETAR antagonist prevented the effect of ET-1 on [Ca]n without affecting EECLs. However, in both cell types, the effect of cytosolic ET-1 on [Ca]n was prevented by the ETBR antagonist. In conclusion, both NMs' ETAR and ETBR mediated the effect of cytosolic ET-1 on [Ca]n in EECRs. In contrast, only NMs' ETBR activation mediated the effect of cytosolic ET-1 in EECLs. Hence, the type of NMs' receptors mediating the effect of ET-1 on [Ca]n are different from those of PM mediating the increase in [Ca]i.
omparing prognostic strength of acute corticospinal tract injury easured by a new diffusion tensor imaging based template approach ersus common approaches elsi

Background: Long-term motor outcome of acute stroke patients with severe motor impairment is difficult to predict. While measure of corticospinal tract (CST) injury based on diffusion tensor imaging (DTI) in subacute stroke patients strongly predicts motor outcome, its predictive value in acute stroke patients is unclear. Using a new DTI-based, density-weighted CST template approach, we demonstrated recently that CST injury measured in acute stroke patients with moderately-severe to severe motor impairment of the upper limb strongly predicts motor outcome of the limb at 6 months. New method: The current study compared the prognostic strength of CST injury measured in 10 acute stroke patients with moderately-severe to severe motor impairment of the upper limb by the new density-weighted CST template approach versus several variants of commonly used DTI-based
Second Generation Ethanol Production from Brewers' Spent Grain

Ethanol production from lignocellulosic biomasses raises a global interest because it represents a good alternative to petroleum-derived energies and reduces the food versus fuel conflict generated by first generation ethanol. In this study, alkaline-acid pretreated brewers’ spent grain (BSG) was evaluated for ethanol production after enzymatic hydrolysis with commercial enzymes. The obtained hydrolysate containing a glucose concentration of 75 g/L was adopted, after dilution up to 50 g/L, for fermentation by the strain Saccharomyces cerevisiae NRRL YB 2293 selected as the best producer among five ethanologenic microorganims. When the hydrolysate was supplemented with yeast extract, 12.79 g/L of ethanol, corresponding to 0.28 g of ethanol per grams of glucose consumed (55% efficiency), was obtained within 24 h, while in the non-supplemented hydrolysate, a similar concentration was reached within 48 h. The volumetric productivity increased from 0.25 g/L·h in the un-supplemented hydrolysate to 0.53 g/L h in the yeast extract supplemented hydrolysate. In conclusion, the strain S. cerevisiae NRRL YB 2293 was shown able to produce ethanol from BSG. Although an equal amount of ethanol was reached in both BSG hydrolysate media, the nitrogen source supplementation reduced the ethanol fermentation time and promoted glucose uptake and cell growth.