Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing Power Transmission in Given Target Areas in the Presence of Protection Requirements

We present a new approach to the synthesis of fields able to maximize the power radiated in an arbitrary portion of the visible space in the presence of protection requirements and constraints on the beam efficiency. As a by-product, beam efficiency can also be optimized if desired. The devised procedure works whether the target area has a linear, square, or circular footprint. The synthesis is stated in terms of a convex programming problem, with the related advantages in terms of both convergence speed and solutions optimality. The given theory is supported by numerical results including comparisons to state-of-the-art approaches.
Mise au point sur le genre Trachypora Milne-Edwards & Haime 1851 (Tabulata, Devonien)

Le genre Trachypora Milne-Edwards & Haime 1851 est base sur l'espece T. davidsoni Milne-Edwards & Haime 1851, insuffisamment connue; son usage est des lors deconseille. La plupart des especes devoniennes de l'Ancien Monde qui lui furent attribuees sont a rapporter au genre Hillaepora Mironova 1960. Quant aux especes devoniennes americaines, elles appartiennent pour une part au genre Thamnoptychia Hall 1877, ou sont a ranger pour une autre part dans la famille Dendroporidae de Fromentel 1861. L'usage de la famille Trachyporidae Waagen & Wentzel 1886 est egalement a proscrire.
Impact of Foreign Aid Volatility on Economic Growth in Pakistan

Most of the developing countries have inadequate level of savings/investment and foreign aid can increase domestic savings for their investment and further to boost economic growth. In this regard, the focus of current study is to analyze the impact of foreign aid and volatility of foreign on economic growth of Pakistan for the time period of 1972-2010. Foreign aid volatility is measured by GARCH family modeling and found that GARCH (1,1) is appropriate model for measuring foreign aid volatility. After data compilation, stationarity of all the variables is checked and found that all the variables are integrated of I(1) and then apply cointegration technique and found that there is long run relationship between variables on the basis of Trace and Eigen statistics. Empirics’ shows that foreign aid and economic growth are positive associated while foreign aid volatility is negatively associated with economic growth. On the basis of study findings, it is recommended that foreign aid should make sustainable for economic growth of Pakistan.
The Disability Impact and Associated Cost per Disability in Women Who Underwent Surgical Revision of Transvaginal Mesh Kits for Prolapse Repair

Objectives The aim of this study was to investigate disability impact in patients and cost to the families of patients who have had complications of transvaginal prolapse mesh kits and underwent surgical revision. Methods Patients who developed complications of transvaginal mesh kits for prolapse and who had undergone vaginal prolapse mesh surgical revision/removal in 2009 to 2014 at a single institution were identified by Current Procedural Terminology codes. The group was invited to complete a phone survey pertaining to the initial vaginal mesh used for prolapse surgery utilizing Sheehan Disability Scale (scale 0–10) and Years of life Lived with Disability (YLDs) questionnaires. The data collected were used to estimate the disability and cost analysis. We used our data to estimate the economic and quality-of-life impact of vaginal mesh complications on patients in the United States Results Sixty-two patients (62/198 [31.2%]) were consented to participate and completed the questionnaires by phone. Extremely disabled patients were 18 (29%) of 62 of whole cases, and 5 (8%) of 62 reported that they had no disability after vaginal mesh surgery. The median for overall disability score after vaginal mesh procedure was 8 (which reflects marked disability on a scale of 0–10). The majority of patients missed a median of 12 months of their school or work because of their mesh complications. Thirty-seven (59.6%) of 62 did not improve after mesh removal. Twenty-one (33.9%) of 62 stated that their family income dropped because of productivity loss related to mesh complications. The mean time between vaginal mesh surgery and mesh removal procedure was 4.7 years. Sheehan Disability Scale scores are significantly correlated with YLDs outcomes. Patients' overall disability score showed a significant correlation with YLDs scores (P < 0.0001). Conclusions Vaginal mesh for prolapse reduction complications had a sustained disability impact that continued despite mesh removal. Likewise, the complications were associated with increased economic burden on the families of the effected individuals and a drop in the family income in more than one third of the families.
Measuring the CSR Company-Stakeholder Fit

As a company competitiveness depends more and more on the relationship with its stakeholders, the topic of companystakeholder fit is becoming increasingly important. This fit affects the extent to which a stakeholder perceives CSR company commitment, values and behaviors and, therefore, stakeholder identification in a company and his/her loyalty to it. Consequently, it is important to measure the alignment or the gap between stakeholder CSR demands, values, preferences and perceptions, and the company CSR disclosed commitment, values and policies. In this paper, in order to assess the company-stakeholder fit about corporate responsibility, an innovative CSR fit positioning matrix is proposed. This matrix is based on the measurement of a company CSR disclosed commitment and stakeholder perceived and required commitment. The matrix is part of a more complex methodology based on Global Reporting Initiative (GRI) indicators, content analysis and stakeholder questionnaires. This methodology provides appropriate indications for helping companies to achieve CSR company-stakeholder fit, by leveraging both CSR commitment and communication. Moreover, it could be used by top management for comparing different companies and stakeholders, and for planning specific CSR strategies, policies and activities. Keywords—Company-Stakeholder fit, Corporate Social Responsibility (CSR), CSR Positioning Matrix, Global Reporting Initiative (GRI), Stakeholder Orientation.
Measuring aggression in older adults: A latent variable modeling approach

This cross-sectional measurement study demonstrates a technique for combining information from several aggression scales into one aggression score using latent variable modeling. Participants included male patients ( n = 49) with a DSM-IV diagnosis of dementia at The Veterans Affairs Medical Center Outpatient Geriatric Psychiatry Clinic. Data from seven aggression scales were used to indicate the latent aggression variable. Results provided evidence that a unidimensional latent variable model of aggression adequately represented the data. Reliability of the aggression latent variable was estimated as 0.90, whereas reliability of the separate scales estimated with this sample were less than 0.84. Our findings suggest that combining multiple scales into one aggression score using latent variable modeling results in comprehensive and reliable aggression scores that offer researchers several advantages over current methods for measuring aggression.
Exploring psychiatric comorbidities and their effects on quality of life in patients with temporal lobe epilepsy and juvenile myoclonic epilepsy

The relation of epilepsy with psychiatric disorders is of great interest to researchers due to its behavioral, social, and cognitive outcomes. In this study, we explored psychiatric comorbidity and its effects on quality of life (QOL) in patients with mesial temporal lobe epilepsy (MTLE) and juvenile myoclonic epilepsy (JME).
Y-688, a New Quinolone Active against Quinolone-Resistant Staphylococcus aureus: Lack of In Vivo Efficacy in Experimental Endocarditis

ABSTRACT Y-688 is a new fluoroquinolone with increased activity against ciprofloxacin-resistant staphylococci. The MICs of Y-688 and other quinolones were determined for 58 isolates of ciprofloxacin-resistant and methicillin-resistant Staphylococcus aureus (MRSA). The MICs at which 50% and 90% of bacteria were inhibited were ≥128 and ≥128 mg/liter, respectively, for ciprofloxacin, 16 and 32 mg/liter, respectively, for sparfloxacin, and 0.25 and 1 mg/liter, respectively, for Y-688. This new quinolone was further tested in rats with experimental endocarditis due to either of two isolates of ciprofloxacin-resistant MRSA (namely, P8/128 and CR1). Infected animals were treated for 3 days with ciprofloxacin, vancomycin, or Y-688. Antibiotics were administered through a computerized pump to simulate human-like pharmacokinetics in the serum of rats. The anticipated peak and trough levels of Y-688 were 4 and 1 mg/liter at 0.5 and 12 h, respectively. Treatment with ciprofloxacin was ineffective. Vancomycin significantly decreased vegetation bacterial counts for both organisms (P ≲ 0.05). In contrast, Y-688 only marginally decreased vegetation bacterial counts (P ≳ 0.05). Moreover, several vegetation that failed Y-688 treatment grew staphylococci for which the MICs of the test antibiotic were increased two to eight times. Y-688 also selected for resistance in vitro, and isolates for which the MICs were increased eight times emerged at a frequency of ca. 10−8. Thus, in spite of its low MIC for ciprofloxacin-resistant MRSA, Y-688 failed in vivo and its use carried the risk of resistance selection. The fact that ciprofloxacin-resistant staphylococci became rapidly resistant to this potent new drug suggests that the treatment of ciprofloxacin-resistant MRSA with new quinolones might be more problematic than expected.
Challenges in Android Malware Analysis

The best protection against malware is to execute it: a security paradox. Android has become the world’s most popular mobile operating system, and consequently the most popular target for unscrupulous developers. These developers seek to make money by taking advantage of Android users who customise their devices with various applications, which are the main malware infection vector. attacker security security
The Apache II scoring system in neurosurgical patients: a comparison with simple Glasgow coma scoring.

In order to compare the predictive value of the Apache II, the Glasgow Coma Scale and Revised Trauma Scoring systems in relation to outcome in a neurosurgical department high dependency unit (HDU), all 109 patients entering the unit under the care of one consultant were studied. All patients in the HDU were self-ventilating, so that motor responses were not suppressed by muscle relaxants or sedation. Initial Minimum and Maximum Glasgow Coma Scale Scores, Revised Trauma Score, Apache II and the Apache minus neurological weighting (Apache-NW) scores, were compared as predictors of outcome (as assessed by the Glasgow Outcome Score at 6 months). Twenty-eight patients had a bad outcome, i.e. Glasgow Outcome Scores 1-3, and 72 individuals a good outcome, i.e. scores 4 or 5. Statistical analysis was by the Spearman Ranked Correlation Test, and comparison of Receiver Operational Characteristics Curves. Data were complete on 100 patients (91.7%) and show the Maximum Glasgow Coma Score, followed by the Apache II score, as the best predictors of outcome analysed. This was also true if all patients except those with head injury were analysed as a group. All scoring systems were significantly better predictors of outcome in the head injured patient. For this group, Apache II had an outcome predictive value of 97% compared with 93% for initial and 95% for minimum GCS. Removing the neurological weighting from Apache II weakened its predictive ability in all patients, emphasizing that it is the neurological status of the patient which best predicts overall functional outcome. Apache II data are also much more time-consuming to collect than GCS data. (ABSTRACT TRUNCATED AT 250 WORDS)
Eulerian Particle Tracking In Bifurcating Biofluids

Biofluid flows in bifurcating geometries has become paramount to the medical community. When addressing inhaled particulate matter in the lungs, it is essential to have an efficient computational model. High-order elements offer the opportunity to model nanoparticle deposition in a case by case basis with moderate computer processor times. This adds insight into cancer precipitation as well as an advantageous route to designing patient specific therapeutic aerosols. This study focuses on developing high-order methods for particle tracking in the weakly turbulent flows that are common in the biological setting. High-order elements are used for direct numerical simulation in the incompressible fluid flow to fully resolve the transporting field. The advection-diffusion is then solved with similar methods to predict a deposition of passive and dilute particles. Eulerian-Eulerian particle tracking has shown a route to developing drug delivery on an individual basis with moderate computing times. The quick adaptation and interpolation between meshes offers a promising perspective that lends towards the utilization in the medical community. The scientific code, Nek5000, and the computer cluster at Arizona State University is used to demonstrate the effectiveness of the field method. Experiments at University of Arizona lend validation to the models. Extensions to Eulerian-Eulerian particle tracking methods with variable approximation orders are explored.
An Ultra Low-Power CMOS Transceiver Using Various Low-Power Techniques for LR-WPAN Applications

In this work, we implemented and evaluated a fully integrated 2.4 GHz CMOS RF transceiver using various low-power techniques for low-rate wireless personal area network (IEEE 802.15.4 LR_WPAN) applications in 0.18-μm CMOS technology. In order to achieve an ultra low power consumption, a RC oscillator (OSC) operating below 200 nA, a regulator operating below 200 nA for sleep mode, a quick start block for the crystal oscillator, a passive wake-up circuit, a LNA with negative gm, a current bleeding mixer, and a stacked VCO are all implemented in this transceiver. The transmitter achieves less than 5.0% error vector magnitude (EVM) at 5 dBm output, and the receiver sensitivity is -101 dBm. The sensitivity of the wake-up block is -29.8 dBm. The current consumption is below 14.3 mA for the data receiving mode, 16.7 mA for the transmitter, and less than 600 nA for the sleep mode from a 1.8 V power supply. That is considered to be lowest for the 2.4 GHz CMOS ZigBee transceiver compared to open literature results.
Biological efficacy of the chemical chrysanthemums protection with the use of fine and coarse droplets.

Studies of three years (2007-2009) were conducted at Czeslawice in south- east of Poland . The objects of research were the plants of the one cultivar of chrysanthemum: Dark Tripoli. The following agents were used for protection: Dithane NeoTec 75 WG, Sumilex 500 SC, Amistar 250 SC. The treatment was carried out with the use of two types of nozzles: standard RS-MM 110 03 and ejector type ID 120 03 C. Observation was carried out once a year: in October. The number and health status of plants were determined and diseased plants were collected for analysis. The percentage of plants with disease symptoms was estimated for each plot. The best health status and yield were noticed for Amistar 250 SC.
Foundations for studying creative design practices

We argue that empirical research on creativity in design is detached from the realities of the design profession and therefore unable to contribute much to the development of the discipline. We believe that by taking an industry needs-centered approach to research and starting by understanding design practices we can find better and more fruitful research questions. This theoretical paper presents an overview of the empirical approaches to studying creativity in design, specifically in the front end of the design process. We define a practice-based approach for design research and review some studies pertinent to this approach. We discuss the theoretical foundations of the practice-based approach and propose it can yield several insights into professional designers' productivity. We expect that this style of inquire can advance design tools for both practitioners and students in the future.
Articulatory methods for speech production and recognition

The past 15 years have seen dramatic improvements in the performance of computer algorithms which attempt to recognise human speech. The falling error rates achieved by the best speech recognition systems on limited tasks have recently enabled the development of a diverse range of applications which promise to have a signiicant impact on many aspects of society. Examples of these range from dictation systems for personal computers to automated over-the-telephone enquiry services and interactive voice-controlled computing and mobility aids for disabled users. Engineering research into the recognition of acoustic signals has focused on the development of eecient, trainable models which are adapted to speciic recognition tasks. While the acoustic signal parameterisations employed are usually chosen to crudely model the behaviour of the human auditory system, little or no use is typically made of knowledge regarding the mechanisms of speech production. Physical and inertial constraints on the movement of articulators in the vocal tract cause variations in the acoustic realisations of sounds according to their phonetic contexts. The diiculty of accurately modelling these contextual variations in the frequency domain represents a fundamental limitation on the performance of existing recognition systems. This dissertation describes the design and implementation of a self-organising articula-tory speech production model which attempts to incorporate production-based knowledge into the recognition framework. By using an explicit time-domain articulatory model of the mechanisms of co-articulation, it is hoped to obtain a more accurate model of contextual eeects in the acoustic signal, while using fewer parameters than traditional acoustically-driven approaches. Separate articulatory and acoustic models are provided, and in each case the parameters of the models are automatically optimised over a training data set. A predictive statistically-based model of co-articulation is described, and found to yield improved ar-ticulatory modelling accuracy compared with X-ray articulatory traces. Parameterised acoustic vectors are synthesised by a set of artiicial neural networks, and the resulting acoustic representations are used to re-score N-best recognition hypothesis lists produced by an HMM-based recogniser. The system is evaluated on two test databases, one including speaker-speciic X-ray training data and the other acoustic data alone, and improvements in word recognition accuracy are obtained in each case.
The crystal structure of d-glyceraldehyde-3-phosphate dehydrogenase from the hyperthermophilic archaeon Methanothermus fervidus in the presence of NADP(+) at 2.1 A resolution.

The crystal structure of the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) from the archaeon Methanothermus fervidus has been solved in the holo form at 2.1 A resolution by molecular replacement. Unlike bacterial and eukaryotic homologous enzymes which are strictly NAD(+)-dependent, GAPDH from this organism exhibits a dual-cofactor specificity, with a marked preference for NADP(+) over NAD(+). The present structure is the first archaeal GAPDH crystallized with NADP(+). GAPDH from M. fervidus adopts a homotetrameric quaternary structure which is topologically similar to that observed for its bacterial and eukaryotic counterparts. Within the cofactor-binding site, the positively charged side-chain of Lys33 decisively contributes to NADP(+) recognition through a tight electrostatic interaction with the adenosine 2'-phosphate group. Like other GAPDHs, GAPDH from archaeal sources binds the nicotinamide moiety of NADP(+) in a syn conformation with respect to the adjacent ribose and so belongs to the B-stereospecific class of oxidoreductases. Stabilization of the syn conformation is principally achieved through hydrogen bonding of the carboxamide group with the side-chain of Asp171, a structural feature clearly different from what is observed in all presently known GAPDHs from bacteria and eukaryotes. Within the catalytic site, the reported crystal structure definitively confirms the essential role previously assigned to Cys140 by site-directed mutagenesis studies. In conjunction with new mutation results reported in this paper, inspection of the crystal structure gives reliable evidence for the direct implication of the side-chain of His219 in the catalytic mechanism. M. fervidus grows optimally at 84 degrees C with a maximal growth temperature of 97 degrees C. The paper includes a detailed comparison of the present structure with four other homologous enzymes extracted from mesophilic as well as thermophilic organisms. Among the various phenomena related to protein thermostabilization, reinforcement of electrostatic and hydrophobic interactions as well as a more efficient molecular packing appear to be essentially promoted by the occurrence of two additional alpha-helices in the archaeal GAPDHs. The first one, named alpha4, is located in the catalytic domain and participates in the enzyme architecture at the quaternary structural level. The second one, named alphaJ, occurs at the C terminus and contributes to the molecular packing within each monomer by filling a peripherical pocket in the tetrameric assembly.
SYNTHESIS AND CHARACTERIZATION OF ZnO NANO-PARTICLES

The ZnO nanoparticles were prepared by two different methods where the size of the particles formed were found to be 320 nm and 559 nm studied by the particle size analyzer. The XRD patterns of these sample revealed that the required phase is present with a little amount of impurities. The particle size measurement which was done by particle analyzer was supported by the XRD Scherer’s formula. SEM micrographs of ZnO-1 sample showed that agglomeration has been taken place where as in ZnO-2 sample showed no more agglomeration. EDX of the ZnO-1 sample confirmed the presence of both Zn and O. DSC analysis of the ZnO-1 sample ensured that there are two endothermic reactions have been taken place at temperature 135 C and 165 C but for ZnO-2 sample only one peak was found at 150 C which reveals that only one endothermic reaction has been taken place. Again TGA analysis of the samples showed significant weight loss of about 5% and 10% at 135 C and 165 C temperature respectively in case of ZnO-1 but the weight loss of about 10% has been found at 150 C temperature in case of ZnO-2 sample.
Significant enhancements in feature selection to improve detecting network intrusions

Intrusion Detection System (IDS) is used to identify unknown or new type of attacks especially in dynamic environments as business and mobile networks. For that importance, IDS has become one of targeted research area that focuses on information security. Among different techniques, Enhanced Steady State Genetic-Based Machine Learning Algorithm (ESSGBML) offers the ability to detect intrusions especially in changing environments. The objective of this paper is to incorporate several enhancements starting with feature selection and then applying Fuzzy Logic to enhance Genetic Algorithm (GA). Selection network features has a great importance to increase detection rate, which is itself a problem in Intrusion Detection System (IDS). Since elimination of the insignificant and/or useless features leads to a simplified problem and enhance detection rate. By combining different selected features that will be evaluated, where this will lead us to determine suitable combination features to attain best results. In ESSGBML, Zeroth Level Classifier System (ZCS) plays the role of detector by matching incoming environment message with classifiers to determine whether it is normal or intrusion. For GA, the probability of crossover will be enhanced by applying fuzzy logic. The experiments and evaluations for compound methods were performed on KDD 99 dataset to detect network intrusions.