Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Tempo-HindiWordNet: A resource for effective temporal information access in Hindi

In this paper, we put forward a strategy that supplements Hindi WordNet entries with information on the temporality of its word senses. Each synset of Hindi WordNet is automatically annotated to one of the five dimensions: past, present, future, neutral and atemporal. We use semi-supervised learning strategy to build temporal classifiers over the glosses of manually selected initial seed synsets. The classification process is iterated based on the repetitive confidence based expansion strategy of the initial seed list until cross-validation accuracy drops. The resource is unique in its nature as, to the best of our knowledge, still no such resource is available for Hindi.
Hierarchical Simulation of Statistical Variability: From 3-D MC With “ ab initio” Ionized Impurity Scattering to Statistical Compact Models

Quantum corrections based on density gradient formalism, recently introduced in the 3-D Monte Carlo (MC) module of the Glasgow “atomistic” simulator, are used to simultaneously capture quantum confinement effects as well as “ab initio” ionized impurity scattering. This has allowed us to consistently study the impact of transport variability due to scattering from random discrete dopants on the on-current variability in realistic nano-CMOS transistors. Such simulations result in an increased drain current variability when compared with the drift diffusion (DD) simulation. For the first time, a method that is used to accurately transfer the increased on-current variability obtained from the “ ab initio” MC simulations to the DD simulations is subsequently presented. The MC-corrected DD simulations are used to produce the target I-V characteristics from which the statistical compact models are extracted for use in preliminary design kits at the early stage of new technology development.
Compressive sensing for ultra‐wideband channel estimation: on the sparsity assumption of ultra‐wideband channels

Due to the sparse structure of ultra‐wideband (UWB) multipath channels, there has been a considerable amount of interest in applying the compressive sensing (CS) theory to UWB channel estimation. The main consideration of the related studies is to propose different implementations of the CS theory for the estimation of UWB channels, which are assumed to be sparse. In this study, we investigate the suitability of standardized UWB channel models to be used with the CS theory. In other words, we question the sparsity assumption of realistic UWB multipath channels. For that, we particularly investigate the effects of IEEE 802.15. 4a UWB channel models and the selection of channel resolution both on channel estimation and system performances from a practical implementation point of view. In addition, we compare the channel estimation performance with the Cramer‐Rao lower bound for various channel models and number of measurements. The study shows that although UWB channel models for residential environments (e.g., channel models CM1 and CM2) exhibit a sparse structure yielding a reasonable channel estimation performance, channel models for industrial environments (e.g., CM8) may not be treated as having a sparse structure due to multipaths arriving densely. Furthermore, it is shown that the sparsity increased by channel resolution can improve the channel estimation performance significantly at the expense of increased receiver processing. Copyright © 2013 John Wiley & Sons, Ltd.
Toll-Like Receptor 3 Ligand and Retinoic Acid Enhance Germinal Center Formation and Increase the Tetanus Toxoid Vaccine Response

ABSTRACT Immunizations with T-cell-dependent antigens induce the formation of germinal centers (GC), unique lymphoid microenvironments in which antigen-activated B cells undergo class switching, affinity maturation, and differentiation into memory B cells. Poly(I:C) (PIC), a double-stranded RNA, and retinoic acid (RA), a metabolite of vitamin A which induces cell differentiation, have been shown to augment both primary and memory anti-tetanus toxoid (anti-TT) IgG responses. However, their influence on the GC reaction is unknown. In the present study, 6-week-old C57BL/6 mice were immunized with TT and cotreated with PIC, RA, or both. The splenic GC reaction was evaluated using immunofluorescence staining 10 days after TT priming. Each treatment enhanced the TT-induced GC formation (number of GC/follicle and GC area) about two- to threefold, which correlated with the titers of plasma anti-TT immunoglobulin G (IgG). Isotype switching to IgG1 was dramatically stimulated, with the greatest increase in IgG1-positive GC B cells induced by RA-PIC (P < 0.001). Moreover, PIC alone and RA-PIC robustly promoted the formation of the follicular dendritic cell (FDC) network in the GC light zone. PIC and RA-PIC also increased IgG1-positive B cells in the periarterial lymphatic sheath regions, where most IgG1-positive cells were plasma cells (CD138/syndecan-1 positive), suggesting that plasma cell generation was also enhanced in non-GC regions. The stimulation of several processes, including antigen-induced GC formation, isotype switching, FDC network formation within GC, and plasma cell differentiation by RA and/or PIC, suggests that this nutritional-immunological combination could be an effective means of promoting a robust vaccine response.
Assessing Visual Function Behind Cataract: Preoperative Predictive Value of the Heine Lambda 100 Retinometer

Purpose To analyze the accuracy of the Lambda 100 (Heine) potential visual acuity (VA) measurements in subjects undergoing cataract surgery. Methods The medical records of all consecutive patients who underwent clear corneal incision phacoemulsification cataract surgery by a single surgeon between 2010 and 2012 at the Department of Ophthalmology, Hadassah Medical Center, a tertiary care hospital in Jerusalem, Israel, were reviewed. Subjects age 18 or older with a follow-up time of at least 30 days were included. Subjects with previous ocular comorbidities other than glaucoma were excluded. In addition, patients with intraoperative or perioperative complications that could affect final VA were excluded. Analyses were performed to analyze the accuracy of preoperative retinometer potential VA as a predictor of postoperative best-corrected VA. Results A total of 374 operated eyes were included. There was a moderate positive correlation between Lambda estimated VA potential and postoperative achieved best-corrected VA (BCVA) (β coefficient 0.35, p<0.0001). Overall Lambda accurately (within 2 Snellen lines) estimated postoperative BCVA results in 60% of cases. The accuracy of prediction was significantly better in moderate cataracts when compared with advanced cataracts (p<0.01) with a twofold tendency towards underestimation in advanced cataracts. A Lambda ≥0.5 decimal has a calculated positive predictive value of 82% and a negative predictive value of 40% for predicting postoperative BCVA outcome ≥0.5 decimal. Conclusions Lambda may be used to relatively accurately predict postoperative BCVA in cataract patients, specifically in those with moderate cataracts.
Codified Knowledge and Decisions in a Major eHealth Project: Efforts to Introduce the Electronic Health Record in Quebec

© 2012 Gagnon et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Codified Knowledge and Decisions in a Major eHealth Project: Efforts to Introduce the Electronic Health Record in Quebec
Enhancement of the laser phase noise tolerance for star 16-QAM optical coherent systems

An efficient bit-to-symbol mapping method for star 16-quadrature amplitude modulation (16-QAM) is proposed in this paper, which is similar to Gray coding for square 16-QAM. With the consideration of optimal ring ratio of constellation, our simulation results show that a linewidth of 3MHz per laser can be tolerated for star 16-QAM optical coherent systems with SNR penalty of 1dB at BER of 10−3, which is much better than that of square 16-QAM. Further optimization possibility with variable number of points on each of the rings for star 16-QAM constellation is also discussed.
A Latent-Change Scaling Model for Longitudinal Multiple Choice Data

A latent-change scaling model for the analysis of repeated-measures multiple-choice data is presented. The model extends previous work by combining latent class analysis and low dimensional scaling techniques in a longitudinal framework where subjects may change their preferences for the response categories over time. The latent structural component of the model characterizes both the cross-sectional heterogeneity of the population and an underlying change process over time; the measurement component of the model uses a scaling procedure to produce a joint representation of latent classes and response categories in a low dimensional space that represents individual differences in the utilities of the categories. An analysis of a national panel data set is used to illustrate both aspects of the model. A hypothetical example illustrates additional features of the model that can be tested when multiple indicators are collected at each time point.
The Impact of Absorptive Capacity of the Firm upon ERP Adoption

The paper examines the impact of absorptive capacity on ERP adoption of the firm. The comprehensive framework of the relationships among absorptive capacity, trust, and knowledge acquisition is addressed and tested empirically. The results of the path analysis confirm that the proposed model is acceptable and seven out of its nine paths such as 1) between absorptive capacity and knowledge acquisition, 2) between absorptive capacity and trust, and 3) between trust and knowledge acquisition, are significant. In spite of several theoretical and methodological limitations, the study proposes several variables have to be considered for effective knowledge acquisition for practitioners. In addition, this paper can invoke the research on the exchange of various knowledge and more empirical tests on trust theoretically.
A new method for selectively enhancing hemisphere processing: Voice frequency amplification influences the strength of attribute framing

An attribute framing effect occurs when positive or negative associations produced by positive or negative frames are mapped onto evaluations resulting in a more favourable evaluation for the positively framed attribute. We used a new voice frequency manipulation to differentially enhance right versus left hemisphere processing. In doing so we found a strong attribute framing effect when a speaker with a low-frequency voice enhanced the contextual processing style of the right hemisphere. However, a framing effect was not obtained when a speaker with a high-frequency voice enhanced the inferential/analytical processing style of the left hemisphere. At the theoretical level our results provide evidence that the contextual processing style of the right hemisphere is especially susceptible to associative implications, such as those found in attribute framing manipulations. At the applied level we provide a simple method for altering the effectiveness of persuasion messages.
Automated Data Extraction from Online Social Network Profiles: Unique Ethical Challenges for Researchers

As the use of online social networking (OSN) sites is increasing, data extraction from OSN profiles is providing researchers with a rich source of data. Data extraction is divided into non-automated and automated approaches. However, researchers face a variety of ethical challenges especially using automated data extraction approaches. In social networking, there has been a lack of research that looks into the unique ethical challenges of using automated data extraction compared to non-automated extraction. This article explores the history of social research ethics and the unique ethical challenges associated with using automated data extraction, as well as how these impact the researcher. The author's review has highlighted that researchers face challenges when designing an experiment involving automated extraction from OSN profiles due to issues such as extraction methods, the speed at which the field of social media is moving and a lack of information on how to deal with ethical challenges.
Thermal behavior of a pharmaceutical solid acetaminophen doped withp-aminophenol

Thermal behavior of a series of acetaminophen (APAP) doped withp-aminophenol (PANP) was studied by differential scanning calorimetry (DSC) to determine whether it exhibited a eutectic system. Within the temperature range of 120 to 200° C, accurately weighed (1–2 mg) samples sealed in hermetic pans were calorimetrically scanned with a low scanning rate of 1° C/min. The mixture formed a single eutectic with the composition ratio APAP/PANP of 0.6/0.4 at a temperature of 138° C, where it liquefied. Melting began as early as at the eutectic point, which was below the melting temperature of APAP (169° C). The melting point as well as heat of APAP fusion was depressed with the increase in doped PANP. It was postulated that there might be a deficit heat of APAP fusion in APAP doped with PANP, which was coincident with the heat consumed by early liquefaction. The deficit heat was used to correct fraction molten in the van’t Hoff law of purity determination. It was found that the purity determination of APAP doped with PANP was comparable to the UV-spectroscopic method up to the maximum doped PANP level of 8 mol percent. It was concluded that DSC was able to approach early heat of liquefaction of APAP doped with PANP. The van’t Hoff law may be applicable to the determination of APAP with the presence of PANP as a eutectic impurity.
Art and Answerability: Early Philosophical Essays

Introduction: The Architectonics of Answerability (Michael Holquist) Art and Answerability (1919). Translation and notes by Vadim Liapunov (including material from the editors of the Russian edition, S. S. Averintsev and S. G. Bocharov) Author and Hero in Aesthetic Activity (ca. 1920-1923). Translation and notes by Vadim Liapunov (including material from the editors of the Russian edition, S. S. Averintsev and S. G. Bocharov) Supplement: The Problem of Content, Material and Form in Verbal Art (1924). Translation by Kenneth Brostrom (notes by Michael Holquist, including material from the editor of the Russian edition, S. G. Bocharov) Index
Implementation of non-conventional nonlinear models for electron devices in commercial CAD tools

In nowadays CAD environments for integrated microwave circuit design, dedicated tools for the implementation of user defined component models are becoming more and more important. These tools are mainly oriented to the definition of equivalent circuit models. However, the need for more accurate prediction of nonlinear electron device performance pushes the modelling community towards the research of new, often non-conventional, modelling approaches (e.g., frequency-domain, behavioural, integral models, look-up-table based, state-space based, etc.). In such a context, the model implementation tools usually available may result not sufficiently flexible. The paper provides useful hints and points out the main limitations which can be encountered in the implementation of non-conventional electron device models. As an example, the implementation of a nonlinear discrete convolution model is considered by using three different advanced tools: the model wizard of AWR Microwave Office, the model development kit and Verilog-A language of Agilent ADS.
Bloodstream infections in the Intensive Care Unit

ABSTRACT Bloodstream infections (BSIs) represent a common complication among critically ill patients and a leading cause of morbidity and mortality. The prompt initiation of an effective antibiotic therapy is necessary in order to reduce mortality and to improve clinical outcomes. However, the choice of the empiric antibiotic regimen is often challenging, due to the worldwide spread of multi-drug resistant (MDR) organisms with reduced susceptibility to the available broad-spectrum antimicrobials. New therapeutic strategies are 5 to improve the effectiveness of antibiotic treatment while minimizing the risk of resistance selection.
Modeling of ferrous iron oxidation by a Leptospirillum ferrooxidans‐dominated chemostat culture

The objective of this study was to evaluate a direct classical bioengineering approach to model data generated from continuous bio‐oxidation of Fe2+ by a Leptospirillum ferrooxidans‐dominated culture fed with either 9 g or 18 g Fe2+ L−1 under chemostat conditions (dilution rates were between 0.051 and 0.094 h−1). The basic Monod and Pirt equations have successfully been integrated in an overall mass balance procedure, which has not been previously presented in this detail for Fe2+ oxidation. To ensure chemostat conditions, it was found that the range of the dilution rates had to be limited. A too long retention time might cause starvation or non‐negligible death rate whereas, a too short retention time may cause a significant alteration in solution chemistry and culture composition. Modeling of the experimental data suggested that the kinetic‐ and yield parameters changed with the overall solution composition. However, for respective feed solutions only minor changes of ionic strength and chemical speciation can be expected within the studied range of dilution rates, which was confirmed by thermodynamic calculations and conductivity measurements. The presented model also suggests that the apparent Fe3+ inhibition on specific Fe2+ utilization rate was a direct consequence of the declining biomass yield on Fe2+ due to growth uncoupled Fe2+ oxidation when the dilution rate was decreased. The model suggested that the maintenance activities contributed up to 90% of the maximum specific Fe2+ utilization rate, which appears close to the critical dilution rate. Biotechnol. Bioeng. 2008;99: 378–389. © 2007 Wiley Periodicals, Inc.
An Exploration of the Viewpoints of Parents and Nurses on Care Provision in Neonatal Intensive Care Units

Background: Infants are regarded as a vulnerable group in need of nursing care, particularly during NICU admission. Parents of these infants often experience emotional, psychological and physical upheavals. Therefore, nurses can be of great help to the parents and facilitate a healthy transition from this period. Improper communication with parents, who seek information on their infant’s condition, intensifies their stress, fear and misunderstanding. In fact, inadequate communication with healthcare providers and lack of family support are major issues for the parents of NICU-admitted infants. Methods: In this qualitative study, via content analysis, we objectively selected and collected data from parents, physicians and nurses, residing in Isfahan, Iran in 2012. Data saturation was reached after conducting 25 in-depth, semi-structured interviews. Results: Based on the findings, five major categories were extracted: 1) care provision in NICUs; 2) diagnostic difficulties; 3) NICU admission process; 4) challenges of hospitalization; and 5) maintenance of infant viability. Conclusion: Nurses’ proper response to parents’ questions about the infant's condition reduced stress among parents. Based on the findings, training is essential to healthy family dynamics and infant’s well-being, particularly for younger parents who support their infants at home. Also, regular updates on infant’s condition could help reduce parents’ stress and discomfort.
Optimisation of the allocation of solar PV generation capacity using grid support objectives

This paper presents the results of an optimisation analysis aimed at exploring the geographical allocation of solar PV generation capacity in the context of grid support considerations such as average daily yield and variability, with particular focus on the full year scenario compared to the high demand season. All problem cases were evaluated using a combination of genetic algorithm (GA) and pattern search techniques implemented via MATLAB's Global Optimization Toolbox. A hybrid pattern search method incorporating a GA search step produced the best overall solution quality, but could benefit from parameter adjustment to improve its solution consistency. The optimal allocations found for all objective functions are generally distinctly different for the full year scenario and the high demand season, indicating potential advantages in applying a seasonally variable feed-in tariff for solar PV generation. Meanwhile the objectives of daily energy maximisation and variability minimisation were found to produce contrasting results.
Flatness measurement system based on a nonlinear optical triangulation technique

This paper describes the development of a flatness measurement system, integrated in the control process of a hot strip mill in the steel industry. The objective of the system is to calculate flatness indexes for every rolled strip, comparing the length of its lateral profiles with the central length. The reconstruction of the profiles is based on a nonlinear triangulation technique. Images of laser spots over the steel strip, at high temperature and high speed, are sampled every two milliseconds at five different points and are processed online in order to calculate height displacement values of the strip, so that final flatness indexes for the steel strip can be calculated. The measurement method developed introduces an innovative geometry in the disposition of the optic elements which increases the measurement range of the system without reducing its accuracy. It also includes a tracking system to compensate for the effects of lateral displacements of the strip. The flatness measurement system has been implemented using a heterogeneous distributed computer system.
Adherence to nicotine replacement patch therapy in cardiovascular patients

Nicotine Replacement Therapy (NRT) is the most frequently used pharmacological intervention for smoking cessation. Research on the effect of NRT showed serious nonadherence among users. We investigated adherence to NRT in cardiovascular patients. A number of 174 outpatients (N = 174), who smoked > 5 cigarettes a day, received free patches and intensive instructions from nurses. Questionnaires were sent to patients assessing patient characteristics, adherence to a 7–8 weeks time frame and appliance instructions, side effects/withdrawal symptoms, and reasons for non-adherence. Only 38% of the patients was adherent to the time frame. Appliance instructions were followed in 76–96% of the cases, except for smoking; 50% continued to smoke during NRT. In conclusion, despite considerable attention to appliance instructions, access to free patches and additional behavioral support, adherence to NRT in these patients is rather low.
Social impairment in girls with ADHD: patterns, gender comparisons, and correlates.

OBJECTIVE To investigate social impairment in girls with attention-deficit/hyperactivity disorder (ADHD), compare the social functioning of boys and girls with ADHD, and explore the association between social dysfunction and conditions comorbid with ADHD. METHOD Four groups of index children were studied: 267 children (127 girls) with ADHD and 234 non-ADHD comparison children (114 girls). Groups were compared on social functioning, psychopathology, and demographic characteristics. RESULTS Girls with ADHD manifested significant deficits in interpersonal functioning compared with girls without ADHD and evidenced a similar degree of social impairment compared with boys with ADHD. ADHD and associated comorbid disorders were significant correlates of specific domains of social dysfunction in boys and girls with ADHD. CONCLUSIONS Interpersonal deficits are a major correlate of ADHD, irrespective of gender, and appear to stem from the behaviors associated with ADHD as well as behaviors characteristic of conditions comorbid with ADHD.