Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance of Series Connected GaAs Photovoltaic Converters under Multimode Optical Fiber Illumination

In many military and industrial applications, GaAs photovoltaic (PV) converters are connected in series in order to generate the required voltage compatible with most common electronics. Multimode optical fibers are usually used to carry high-intensity laser and illuminate the series connected GaAs PV converters in real time. However, multimode optical fiber illumination has a speckled intensity pattern. The series connected PV array is extremely sensitive to nonuniform illumination; its performance is limited severely by the converter that is illuminated the least. This paper quantifies the effects of multimode optical fiber illumination on the performance of series connected GaAs PV converters, analyzes the loss mechanisms due to speckles, and discusses the maximum illumination efficiency. In order to describe the illumination dependent behavior detailedly, modeling of the series connected PV array is accomplished based on the equivalent circuit for PV cells. Finally, a series of experiments are carried out to demonstrate the theory analysis.
Validation of a Sensor-Driven Modeling Paradigm for Multiple Source Reconstruction with FFT-07 Data

A Bayesian probabilistic inferential framework provides a natural and logically consistent method for source reconstruction that fully utilizes the information provided by a limited number of noisy concentration data obtained from a network (or, array) of detectors. This report addresses the application of this framework to the difficult problem of estimating the parameters of an a priori unknown number of sources, using an array of detectors. To this purpose, Bayesian probability theory is used to formulate the full joint posterior probability density function for the number of sources and the parameters (e.g., location, emission rate, activation and deactivation times) that describe each source. A simulated annealing algorithm, applied in conjunction with a reversible-jump Markov chain Monte Carlo technique, is used to draw random samples from the posterior probability density function. By calculating the marginal posterior probability distribution of the number of sources from these samples, a maximum a posteriori estimate N̂s for the number of sources can be obtained, and all samples of source distribution models with exactly N̂s discrete sources can be used to provide best estimates for the source parameters (along with their associated uncertainties). The method is validated against a real dispersion experiment involving various combinations of multiple source releases conducted under a multinational cooperative FUsing Sensor Information from Observing Networks (FUSION) Field Trial 2007 (FFT-07) undertaken at US Army Dugway Proving Ground (DPG) in September 2007. DRDC Suffield TR 2009-040 i
Comprehensive Analysis To Assess And Remove Causes Of Decline Flow In An Offshore Compression Module.

In a three stages compression module, at an offshore installation, was detected a sudden decrease in managed flow, decreasing from 108 to 87 million standard cubic feet by day (MMSCFD). Thermodynamic analysis on performance of three stages of compression, axial compressor and power turbine was carried out. Each compression stage were found operating efficiently according to ranges indicated by manufacturer. However, a power loss about 1200 hp was detected in turbine, so that the problem between the power turbine and the main gearbox (MG) was focused. Boroscopic and thermographic inspections were carried out, detecting hot spots and contaminants deposition. Upon disassembling MG, lubrication ducts were detected partially obstructed by silicone.
Carbon Nanotube FETs for Robust Digital Logic Systems

Carbon nanotube (CNT)-based FETs are a promising nanotechnology for high performance and highly energy-efficient digital logic applications. It is projected that digital systems made from carbon nanotube FETs (CNFETs) can achieve a 10-fold improvement in energy-delay product, a metric of energy efficiency, versus silicon-CMOS [1,2]. However, substantial imperfections inherent to CNTs have prohibited CNFET circuit demonstrations. In this paper, we summarize advances that have enabled robust CNFET circuit demonstrations. We also highlight experimental demonstrations of CNFET digital systems, including the first CNT computer and monolithically integrated 3D
Particle Size Characterization- Techniques, Factors and Quality-by-design Approach

Particle size characterization is one of the key areas involved in quality assurance. The concept of particle size and size characterization acts as a foundation for all the processes involved in theproduction of a formulation; from manufacturing to quality control operations. Particle size characterization dictates many properties of the finished product. Particle size characterization of samples is important to make a better quality product, improve its appearance, taste, texture and shelf-life. There are many instruments for particle size characterization that are available commercially. Each instrument is based on a different technique and each technique is based on a different principle. Selecting the right particle size characterization technique for the given sample is a challenging decision. The choice of technique is made according to the sample. Sometimes even a combination of techniques is used to obtain accurate results. There are several factors upon which choice of technique depends like size range, sample quantity, cost effectiveness etc. To ensure appropriate quality standards in the field of particle sizing and particle size characterization, ICH and US-FDA have recently insisted on including Quality-by-design approach in thepharmaceutical industry. Application of QBD approach to particle size characterization techniques ensures a resilient method which gives reproducible results. It aids in reducing result and method variations and promotes productivity and quality. The main objectives of this review are first, to understand the principle, instrumentation, and working of commercially used techniques and to compare their pros and cons; secondly, to study the factors which govern the choice of technique and lastly, to understand the concept of Quality by design and its role in particle size characterization through some example. Keywords: Particle size characterization; techniques; factors;QBD
Development of aggressive vocalizations in male southern elephant seals (Mirounga leonina): maturation or learning?

Summary Vocalizations are an important component of male elephant seal agonistic behaviour. Acoustic and behavioural components of vocalizations emitted during agonistic contests show gross differences between young and old males, but the variation with age depends on the specific feature. Vocalizations become more frequent and effective at later ages. Acoustic features that are constrained by structural phenotype, which changes with age, also should change with age, while acoustic features that are independent from structural phenotype should show no relationship with age. We demonstrate that, in southern elephant seals, formant frequencies, which are constrained by the vocal tract length and, therefore, by body size, show a clear decrease with age, whereas temporal and structural features of sounds, which potentially are unconstrained, show no correlation with age. Formants ontogeny seems, therefore, to be mostly the result of body maturation, and hence formants may be reliable signals of age. In contrast, acoustic features such as temporal features and syllable structure, are free to change, and hence may serve as the raw material for vocal learning and individual recognition.
On the current drivers of Electric Vehicle adoption in Norway

7 1.0 Introduction, 8 1.1 Motivation 9 1.2 Background 9 1.3 Statement of the problem 13 1.4 Objectives and research questions 14 1.5 Layout of the paper 15 2.0 Literature Review and Theoretical Framework 16 2.1 Diffusion of technology theory and its impact on decision making 18 2.2 Institutional theories effect on culture and decision making 23 3.0 Methodology 26 3.1 Philosophical choice, Purpose and Strategy 26 3.1.1 Philosophical Choice 26 3.1.2 Research Approach and Purpose 27 3.1.3 Research Strategy 27 3.2 The Data Collection Process 27 3.2.1 Dependent Variable 29 3.2.2 Independent Variables 30 3.2. 3 Control Variables 33 3.2. 4 Excluded datasets 34 3.3 Data analysis process 35 4.0 Results and Analysis 36 4.1 Descriptive statistics 36 4.2 Table of correlations 40 4.3 Results of the regression analysis 42 4.4 Discussion and Recommendations 44 4.4.1 Limitations 44 4.4.2 Implications 44 4.4.3 The impact of charging station infrastructure 45 4.4.4 The impact of education and high tech employment 46
Impact of Pesticides Combination on Soil Microorganisms

The nontarget effects of buprofezin and acephate, in combination at concentrations ranging from 2.5 to 10 μg g−1, towards activities of cellulases, amylase and invertase in unamended and NPK-fertilizer-amended cotton soils were studied. Enzyme activities were determined spectrophotometrically by using standard in vitro soil incubation studies. The influence of the selected insecticides on enzyme activities was dosedependent. Additive and synergistic stimulatory responses were noticed at lower concentrations; where as, at higher rates of insecticides, antagonistic inhibitory reactions were observed. It is apparent, therefore, that the soil application of buprofezin and acephate combinations, at higher concentrations, resulted in an interaction leading to significant antagonistic effect on activities of the soil enzymes tested. Thus, this study undoubtedly highlights the impact of insecticides on soil microflora, and also it aids in the deterrence of intensive and extensive usage of insecticides in agriculture.
Location Estimation of a Photo: A Geo-signature MapReduce Workflow

Location estimation of a photo is the method to find the location where the photo was taken that is a new branch of image retrieval. Since a large number of photos are shared on the social multimedia. Some photos are without geo-tagging which can be estimated their location with the help of million geo-tagged photos from the social multimedia. Recent researches about the location estimation of a photo are available. However, most of them are neglectful to define the uniqueness of one place that is able to be totally distinguished from other places. In this paper, we design a workflow named GsigMR (Geo-signature MapReduce) for the improvement of recognition performance. Our workflow generates the uniqueness of a location named Geo-signature which is summarized from the visual synonyms with the MapReduce structure for indexing to the large-scale dataset. In light of the validity for image retrieval, our G-sigMR was quantitatively evaluated using the standard benchmark specific for location estimation; to compare with other well-known approaches (IM2GPS, SC, CS, MSER, VSA and VCG) in term of average recognition rate. From the results, G-sigMR outperformed previous approaches.
International Marketing Strategies in the Jewellery Industry: Are They Standardised, Adapted or Both?

According to analysts and practitioners, five main trends characterise the future of the jewellery industry: internalisation and consolidation; market growth; a new channel landscape; hybrid consumption; and fast fashion. Among these, the process of internalisation, which is started and managed by local jewellery brands, seems of great interest. These brands, generally small and medium enterprises (SMEs), have to plan their international marketing strategies in order to face the biggest jewellery groups and compete worldwide.In the present paper, through the methodology of a single case study of leBebe, an Italian brand, the standardisation and adaptation processes of international marketing strategies are rebuilt and investigated in reference to the jewellery industry. From the analysis, it emerges that the jewellery industry has specific dynamics that force companies to implement an international marketing strategy that falls halfway between standardisation and adaptation and is generally known as a contingency perspective. The achieved results strengthen the contingency perspective on the standardisation/adaptation debate and, above all, allow for speculating that international marketing strategies partly depend on the brand and mostly depend on the prominence of the brands and on factors characterising each industry.
Block Cyclic Distribution of Data in pbdR and its Effects on Computational Efficiency

Programming with big data in R (pbdR), a package used to implement high-performance computing in the statistical software R, uses block cyclic distribution to organize large data across many processes. Because computations performed on large matrices are often not associative, a systematic approach must be used during parallelization to divide the matrix correctly. The block cyclic distribution method stresses a balanced load across processes by allocating sections of data to a corresponding node. This method achieves well divided data that each process computes individually and calculates a final result more efficiently. A nontrivial problem occurs when using block cyclic distribution: Which combinations of different block sizes and grid layouts are most effective? These two factors greatly influence computational efficiency, and therefore it is crucial to study and understand their relationship. To analyze the effects of block size and processor grid layout, we carry out a performance study of the block cyclic process used to compute a principal components analysis (PCA). We apply PCA both to a large simulated data set and to data involving the analysis of single nucleotide polymorphisms (SNPs). We implement analysis of variance (ANOVA) techniques in order to distinguish the variability associated with each grid layout and block distribution. Once the nature of these factors is determined, predictions about the performance for much larger data sets can be made. Our final results demonstrate the relationship between computational efficiency and both block distribution and processor grid layout, and establish a benchmark regarding which combinations of these factors are most effective.
Mapping Expectations of Functional Units' Line Managers against the Perceptions of Human Resources Department (HRM)

This paper proposes that performance improvement could be achieved by improving the relationship between HRM and functional units in the form of a relationship between supplier and customer. Accordingly, the paper proposes that differences may be found between functional units' expectation of the service delivered and the perception of HRM with respect to that service. The paper also proposes that Gap analysis approach could be used in analysing the performance of those services. The paper points to the possibility of finding perception gaps and expectation gaps. In addition, the paper suggests that those gaps may impact on the performance from the perspectives of quality, cost and speed of delivery of the service. It is envisaged that this research could assist management in controlling cost and avoid wastage and improve organisational performance.
Knowledge about health effects of sun exposure, attitudes, and intention to screen for skin cancer: Findings from the Pennsylvania Cancer Education Network in the United States

Skin cancer is reaching an epidemic and is the most common type of cancer in the United States with more than 1 million cases diagnosed annually. Using a pre-test and post-test study design, we compared participants’ (n=800) knowledge (K), attitudes about skin cancer (A), and intention to screen (I) after their participating in a one-hour health education session that seeks to builds trust, discuss health information, and encourage action. The results show that this educational session had a significant proximal impact on subjects’ KAI status. Average knowledge scores on skin cancer prevention significantly increased, average attitude scores indicating that screening is embarrassing or painful, significantly decreased, and intention to screen scores significantly increased. Participants with higher education levels had higher favorable scores. In conclusion, the proximal results of the skin cancer education program suggest that an action-oriented participatory health education may play an important role in improving skin cancer prevention.
Phase I Analysis of Variables Type Correlated Data

Istatistiksel surec kontrolunde, kontrol grafikleri Faz I ve Faz II olmak uzere iki asamali olarak uygulanmaktadir.Faz I asamasinda, surecle ilgili geriye donuk analizler yapilarak sistemin kontrol altinda oldugu duruma ait parametreler tahmin edilir. Elde edilen bu guvenilir limitler, Faz II asamasinda sureci gercek zamanli izlemek icin kullanilir.Bu tezde, bagimli gozlemlerin Faz I analizi temel alinmaktadir. Otokorelasyonlu gozlemler icin Faz I analizinde nasil bir yaklasim izlenmesi gerektigi ve bu yaklasimin Faz II asamasindaki kontrol grafiklerinin performansina olan etkileri incelenmistir. En Buyuk Olabilirlik ve Kosullu Kareler Toplami tahmin edicilerinin performanslari incelenmistir.Faz I sonunda elde edilen bu tasarimlar kullanilarak Faz II asamasinda kontrol grafiklerinin ortalama tespit uzunlugu performanslari hesaplanmistir. Otokorelasyonlu bir veride %2 oranindaki aykiri gozlemin bulunmasinin bile performansi oldukca negatif etkiledigi ortaya konulmustur.
Changes in some biochemical parameters of kidney functions of Plasmodium berghei infected rats administered with some doses of artemether

+) and potassium (K + ) of Plasmodium berghei infected rats during a week of intramuscular administration of artemether (12.5 to 50.0 mg/kg/day) and one week thereafter. Their concentrations and that of creatinine and urea in the plasma were also determined at the end of the study. The observed changes were related to the effects of artemether on the kidneys of the rats. The urine levels of the two electrolytes decreased significantly during treatment (P<0.05). One week post-treatment with 12.5 mg/kg of artemether, the urine concentrations of the electrolytes increased to values that were not significantly different from that of day 0. At 25 and 50 mg/kg, their urine concentrations still remained significantly lower than day 0 values (P<0.05). Plasma concentrations of the electrolytes one week post-treatment increased, but they were only significant at 25 mg/kg for K + . A significant increase in the plasma level of creatinine was observed at all the doses of the drug at one week post-treatment. A dose-dependent degeneration of the renal tissue of all the experimental rats was also observed. We concluded that high doses of artemether caused progressive degeneration of the renal tissue of P. berghei infected rats.
Factors influencing the Rheumatoid Arthritis Impact of Disease (RAID) score for Moroccan patients with rheumatoid arthritis (RA)

Objective: This study aims to identify factors influencing the health related quality of life (HRQOL) for RA patients. Methods: 103 patients diagnosed were enrolled in the study. Disease activity was assessed through the Disease Activity Score (DAS) 28 scale. Health Assessment Questionnaire (HAQ) was completed by all patients. Pain and fatigue were evaluated with pain Visual analogic scale (VAS) and fatigue VAS respectively. The psychological status was evaluated using the Arabic validated version of the Hospital Anxiety and Depression scale (HADs). The Rheumatoid Arthritis Impact disease (RAID) was used for the evaluation of the impact of rheumatoid arthritis. Results: The mean RAID was 3.78
The polar amplification asymmetry: Role of antarctic surface height

Abstract. Previous studies have attributed an overall weaker (or slower) polar amplification in Antarctica compared to the Arctic to a weaker Antarctic surface albedo feedback and also to more efficient ocean heat uptake in the Southern Ocean in combination with Antarctic ozone depletion. Here, the role of the Antarctic surface height for meridional heat transport and local radiative feedbacks, including the surface albedo feedback, was investigated based on CO2-doubling experiments in a low-resolution coupled climate model. When Antarctica was assumed to be flat, the north–south asymmetry of the zonal mean top of the atmosphere radiation budget was notably reduced. Doubling CO2 in a flat Antarctica (flat AA) model setup led to a stronger increase in southern hemispheric poleward atmospheric and oceanic heat transport compared to the base model setup. Based on partial radiative perturbation (PRP) computations, it was shown that local radiative feedbacks and an increase in the CO2 forcing in the deeper atmospheric column also contributed to stronger Antarctic warming in the flat AA model setup, and the roles of the individual radiative feedbacks are discussed in some detail. A considerable fraction (between 24 and 80 % for three consecutive 25-year time slices starting in year 51 and ending in year 126 after CO2 doubling) of the polar amplification asymmetry was explained by the difference in surface height, but the fraction was subject to transient changes and might to some extent also depend on model uncertainties. In order to arrive at a more reliable estimate of the role of land height for the observed polar amplification asymmetry, additional studies based on ensemble runs from higher-resolution models and an improved model setup with a more realistic gradual increase in the CO2 concentration are required.
SOSAA – A new model to simulate the concentrations of organic vapours, sulphuric acid and aerosols inside the ABL – Part 2

Natural and anthropogenic aerosols may have a great impact on climate as they directly interact with solar radiation and indirectly affect the Earth’s radiation balance and precipitation by modifying clouds. In order to quantify the direct and indirect effects, it is essential to understand the complex processes that connect aerosol particles to cloud droplets. Modern measurement techniques are able to detect particle sizes down to 1 nm in diameter, from ground to the stratosphere. However, the data are not sufficient in order to fully understand the processes. Here we demonstrate how the newly developed one-dimensional column model SOSAA was used to investigate the complex processes of aerosols at a boreal forest site for a six-month period during the spring and summer of 2010. Two nucleation mechanisms (kinetic and organic) were tested in this study, and both mechanisms produced a good prediction of the particle number concentrations in spring. However, overestimation of the particle number concentration in summer by the organic mechanism suggests that the OH oxidation products from monoterpenes may not be the essential compounds in atmospheric nucleation. In general, SOSAA was correct in predicting new particle formation events for 35% of the time and partly correct for 45% of the time.
PHYLOGENETIC RELATIONSHIPS OF ENTOMOPATHOGENIC NEMATODES AND THEIR BACTERIAL SYMBIONTS FROM COASTAL AREAS IN LEBANON

(*) National Center for Marine Sciences, National Council for Scientific Research -CNRS, P.O. Box 11-8281, Ryad El Solh 1107 2260, 59, Zahia Selman street, Beirut, Lebanon; email: enjeim@cnrs.edu. lb (**) Istituto per la Protezione Sostenibile delle Piante-CNR, Via Amendola 122/D, 70126 SS-Bari, Italy; email: francesca.deluca@ipsp.cnr. it (***) Diversité, Génomes et Interactions Microorganismes-Insectes (DGIMI), Institut National de la Recherche Agronomique, 34095 Montpellier Cedex 05, France (****) Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti (Di.S.S.P.A.), Università degli Studi di Bari ‘Aldo Moro’, Via Amendola 165/A, 70126 Bari, Italy