Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of multiple faults with intelligent condition indices

Automatic fault detection with condition indices enables reliable condition monitoring to be combined with process control. Useful information on different faults can be obtained by selecting suitable features from generalised norms, which are defined by the order of derivation, the order of the norm and sample time. The nonlinear scaling based on generalised norms and skewness extends the idea of dimensionless indices to nonlinear systems and provides good results for the automatic generation of condition indices. Condition indices, which are used in the same way as the process measurements in process control, detect differences between normal and faulty conditions and provide an indication of the severity of the faults. Feature specific health indices, which are calculated as ratios of feature values in the reference condition and the faulty case, are used in selecting efficient features. In the multisensor vibration analysis, the number of sensors and features were drastically reduced. The number of features is further reduced by optimal orders for the derivatives and norms. The complexity of the models is simultaneously reduced. For the supporting rolls of a lime kiln, an efficient indication of faulty situations is achieved with two features. All the rolls can be analysed with the same approach throughout the data set. The results of both the applications are consistent with the vibration severity criteria: good, usable, still acceptable, and not acceptable. Three standard deviations obtained for the signal ) 4 ( x on three frequency ranges were needed to detect unbalance and bearing faults. The norms based on the signal ) 4 ( x provide the best results in all the frequency ranges.
NTP General Public Comments Submission Comment : Comments on Reverberation Chamber Exposure System : During the 1990 s

During the 1990s, I ran the Wireless Technology Research program, overseen by a U.S. government Interagency Working Group and funded through a trust organized by the wireless phone industry. In our original research agenda, long-term animal studies were contemplated, although they were later eliminated as the industry pulled funding. In the WTR program, we spent more than two years and $5M studying and evaluating different exposures systems so that the most rigorous exposure systems for predicting human risk could be used for our studies. The results of that work are published in the books whose cover pages are attached herewith, as well as in other presentations at professional meetings and special issues of journals throughout that time. The WTR exposure system work was front and center at every relevant toxicological meeting conducted through the 90s, so not a secret.
Two ’ s Company : Directional Diversity and Performance of Entrepreneurial Pairs

We study the effects of diversity on the survival and growth of new ventures using the Danish Linked Employer-Employee database. To get cleaner measures of diversity, we focus on entrepreneurial dyads, and also investigate the asymmetric effects of ‘directed’ diversity by distinguishing between the ‘primary’ and the ‘secondary’ founder. We complement existing work by showing that diversity depends on the asymmetric hierarchical structure within the team, and that a unidimensional diversity indicator (which is usually applied) fails to capture a number of performance effects of diversity. Ventures with a STEM-educated primary founder and a Business-educated secondary founder have high employment growth, while the opposite combination (Business first, STEM second) has low employment growth. Pairs of younger individuals have lower survival chances but higher employment growth. Performance of mixed-race and mixed-gender ventures depends upon the identity of the primary founder. Family firms have lower employment growth. JEL codes: L25, L26, J21
CHAPTER 1 BRANDING IN THE GLOBAL ECONOMY

Brands are an important aspect of everyday life. Consumers tend to have strong preferences for which smartphones offers the best functionality, which airlines provide the best service, which fashion accessories garner the most attention from friends and colleagues. Brands help consumers to exercise their preferences in the marketplace. They come with a reputation for quality, functionality, reliability and other attributes, ultimately enabling consumers to exercise choice in their decision-making. Equally important, they come with a certain image – whether for luxury, trendiness or social responsibility – which consumers care about, and which in turn influences decision-making on which goods and services consumers purchase.
The Relation between Selective Cross-Modal Attention and Emotional Multisensory Integration

In social interactions, people must be able to quickly and accurately perceive the emotion of others. Research on multisensory integration in emotion perception has found that congruent information from both face and voice improves emotional perception, with increased accuracy and decreased reaction times when congruent-emotion voices are presented simultaneously with faces. Similarly, research using electroencephalography (EEG) indicates that there is enhanced processing on trials with congruent face-voice emotions compared to incongruent trials. However, this enhancement has been found to be modulated by the direction of selective cross-modal attention. In this study, we investigated the neural correlates of these multisensory and congruency effects in both younger and older adults, whose selective cross-modal attention as well as emotion perception have been shown to be impaired. Our findings suggest that selective cross-modal attention operates similarly in emotion perception multisensory integration as it does in more basic forms of multisensory integration. Multisensory enhancement was not found in older adults; we hypothesize that the positivity effect may reduce older adults’ enhanced multisensory integration compared to younger adults’ multisensory integration in emotion perception tasks.
Modeling of the CoolMOS TM Transistor — Part I : Device Physics

CoolMOSTM is a novel power MOSFET with a “superjunction” for its drift region, which results in a vastly improved relationship between the on resistance and breakdown voltage. The presence of the superjunction makes the device physics very interesting and complicated. In this paper, we present simulation results aimed at understanding the device operation both in the on state and in the off state. Quasi saturation of the drain current is analyzed, and it is shown that it can be prevented by increasing the doping density of the drift region. An analytic model of the JFET-like drift region is presented. A CoolMOSTM transistor model based on the simulation results described here will be presented in an accompanying paper.
A view on peer review | Biofisica

crutiny of scientific work is a fundamental pillar of Science. It is not only needed for correctness, in a purely technical sense, but also takes care of originality, novelty and significance, ensuring that the scientific work contributes to generating new knowledge. There are two stages where this task is especially important: before the start of a scientific investigation (projects) and when the investigation yields results (publications). At both stages the dominant (almost exclusive) method for evaluation is reviewing by peers.
VECTORS of Change in Oceans and Seas Marine Life

Maritime transport and shipping is impacted negatively by biofouling, which can result in a reduction in speed and increased fuel consumption. Thus, costs for the removal or prevention of fouling can be considered an investment to reduce fuel consumption. However, anti-fouling measures reduce the rate of introduction of non-indigenous species (NIS), a threat addressed by IMO and US regulations. Mitigation measures to reduce the transport of NIS on hulls and within ballast water and ballast sediments impose additional costs throughout the maritime transport sector. We estimate that the operational cost of current mitigation measures, together with ballast water treatment systems that comply with both the IMO and US regulations, may represent between 1.6% and 4% of the annual operational cost for a ship, with the higher proportional costs in small ships. However, our analysis indicates that fouling by NIS may affect fuel consumption more than fouling by native species due to differences in species’ life-history traits and their resistance to antifouling coatings. Therefore, the cost of mitigation measures to reduce the spread of NIS could be smaller than the additional cost of higher fuel consumption arising from fouling by an unconstrained and increasing number of NIS. Better estimates of the economic impact of NIS to the shipping industry will require more comprehensive data on its cost structure, the composition of biofouling communities and the life-history traits of these species.
The Effect of Data Augmentation on the Performance of Convolutional Neural Networks

Soft biometrics classiﬁcation has been gaining acceptance during the recent years for critical applications, mainly in the security ﬁeld. Recognizing individuals by using only behavioral, physical or psychological characteristics is a task that can be helpful for several purposes. Thus, diﬀerent Deep Learning approaches have been proposed to perform this task. Since these methods require a large amount of data to avoid overﬁtting, data augmentation is a commonly used method. However, its isolated eﬀect on the performance of the models are usually not evaluated. This work aims at studying the eﬀect of diﬀerent data augmentation strategies on the performances of two Convolutional Neural Network architectures for classifying soft biometrics attributes from samples of a novel dataset: LABICv1.
Gelatin chitosan film incorporated with clove essential oil for retaining quality of silver pomfret fish fillet

Clove (Syzgium aromaticum L.) essential oil has been reported for its potent antioxidant and antimicrobial activities. In this study, clove essential oil was incorporated with gelatin-chitosan solution to develop an edible film (CEO film) for fish preservation. The objective was to determine the effectiveness of this edible film in controlling physical, biochemical and microbial changes in fillet of silver pomfret (Pampus argenteus). The effectiveness of this film was compared with uncoated fillet (control), and gelatin-chitosan film (GC film). The formulated film was tested for water solubility and antimicrobial activity against four selected microorganisms: Escherichia coli, Pseudomonas aeroginosa, Salmonella enterica and Bacillus cereus. The effectiveness of the formulated film on the silver pomfret fillet was evaluated based on weight loss, pH, firmness, total volatile basic nitrogen (TVB-N) and total plate count (TPC) of the fish fillet. The CEO films intermediately inhibit the growth of E. coli and S. enterica. Meanwhile, GC film did not show inhibition on the growth of tested microorganisms. CEO film had lower water solubility compared to GC film. CEO film was observed to reduce weight loss (p<0.05), lower pH on day 6 (p<0.05), and increase firmness of fish fillet when compared to the control (p<0.05). Fish fillet applied with CEO film also had lower TVB-N value and microbial count. This study shows that the CEO film has antimicrobial properties which can benefit fish preservation. Improvement for developing the edible film with acceptable properties is thus important to extend the shelf life of fish fillet.
Outdoor to Indoor Coverage in 5G Networks

Outdoor to indoor mobile coverage is evaluated for differentfrequencies in two scenarios, a single building scenario and a cityenvironment. A new model for outdoor to indoor propagation issuggested, connecting existing, highly detailed indoor and outdoorray-tracing propagation models. The model is compared to previous,site specific as well as statistical, propagation models. Resultsconclude that the new model gives higher path gain for edge users inthe single building scenario, whereas results from the city scenarioare inconclusive. Furthermore, results from the single buildingscenario suggest that indoor coverage is possible at 5 GHz and belowfor most buildings, whereas for the city scenario indoor coverage at5 GHz will be possible only for buildings without metally coatedwindows. Achieving indoor coverage at 30 GHz is highly problematicfor all cases, and it is concluded that indoor base stations arenecessary if frequencies of 10 GHz and above are to be used infuture mobile networks.In addition, an indoor analysis is made to verify existing lossper meter indoor models. It is concluded that such models are oftenoptimistic, although their assumption of log-normal shadowing remainvalid, at least for closed offices. Furthermore, the assumption ofloss as a linear function of distance might be unfeasible for higherfrequencies, where a breakpoint in the linear model was observed ata distance of roughly 10 meters.
Is period gene causally involved in the photoperiodic regulation of reproductive diapause in the linden bug , Pyrrhocoris apterus ?

Earlier experiments demonstrated a strong up-regulation of per mRNA in wild-type (Wt) females of Pyrrhocoris apterus reared under diapause-inducing short days, while per mRNA levels were low in females of two non-diapause mutant strains (Nd), irrespective of photoperiod. In the present study, different sequences of per DNA in two strains of geographically different origin enabled us to analyse genetic linkage between the per gene and the Nd phenotype. Crosses between Wt females originating from C. Budejovice (Czech Republic) and Nd males originating from Lyon (France) resulted in F2 progeny where 411 females entered diapause under short days and 120 females were reproducing. Thus, the segregation was very close to the 3:1 ratio in favour of diapause females, suggesting that the Nd trait behaves as a single autosomal recessive. Analysis of DNA in 20 females of the F2 progeny revealed that their phenotype was not linked to the per genotype. We conclude that the per gene is not primarily responsible for the block to diapause photoresponsiveness in Nd mutants and its role, if any, is downstream from other gene(s) controlling diapause. This is the first attempt at genetic linkage analysis between a bona fide circadian clock gene and photoperiodism in a ‘nondrosophilid’ species. r 2005 Elsevier Ltd. All rights reserved.
Characterization of Gluconacetobacter diazotrophicus Isolated from Sugarcane (Saccharum officinarum) Cultivated in Upper Egypt

Sugarcane (cv. C 9) cultivated in three governorates of upper Egypt (ElMenia, Assiut, Quena) were sampled to assess the occurrence and characteristic of the endophytic G. diazotrophicus isolated from tissues of plants, as well as to determine its abundance in tissues and rhizosphere soil. The 14 endophytic isolates obtained from tissues (roots and stem buds) showed phenotypic and biochemical characteristics identical to those internationally reported in Bergey’s Manual of Systemic Bacteriology (2005). No variation were recorded in cell morphology of isolates, or colony characteristic and pigmentation, or physiological traits due to area of plantation or to N fertilization scheme practiced. The N2 fixing activity of the isolated strains ranged from 12.2:17.6 mg N/ g sucrose consumed from culture media (LGI). The enumeration, by the MPN technique on LGI semisolid medium, for the endophytic cells in tissues of sugarcane grown in Assiut Exptl. Farm of faculty of agriculture, recorded mean numbers of 2.0 – 15.4 × 10/ g tissues, whereas mean estimated rhizosphere cells ranged from 2.6 – 16 × 10/ g of rhizosphere soil.
Intelligent Condition Monitoring for Lime Kilns

Condition monitoring enables reliable and economical way of action for maintenance operations in modern industrial plants. Increasing number of measurement points and more demanding problems require automatic fault detection. Advanced signal processing methods expose failures earlier and provide information on suitable operating conditions of machines. Intelligent methods have been increasingly used in model based fault diagnosis and intelligent analysers. These methods provide various techniques for combining a large number of features.
The clinical and immunological signi fi cance of GAD-speci fi c autoantibody and T-cell responses in type 1 diabetes

Antigen-specific interventions are desirable approaches in Type 1 Diabetes (T1D) as they can alter isletspecific autoimmunity without systemic side effects. Glutamic acid decarboxylase of 65 kDa (GAD65) is a major autoantigen in type 1 diabetes (T1D) and GAD-specific autoimmunity is a common feature of T1D in humans but also in mouse models of the disease. In humans, administration of the GAD65 protein in an alum formulation has been shown to reduce C-peptide decline in recently diagnosed patients, however, these observations were not confirmed in subsequent phase II/III clinical trials. As GAD-based immune interventions in different formulations have successfully been employed to prevent the establishment of T1D in mouse models of T1D, we sought to analyze the efficacy of GAD-alum treatment and the effects on the GAD-specific immune response in two different mouse models of T1D. Consistent with the latest clinical trials, mice treated with GAD-alum were not protected from diabetes, although GAD-alum induced a GAD-specific Th2-deviated immune response in transgenic rat insulin promoterglycoprotein (RIP-GP) mice. These observations underline the importance of a thorough, preclinical evaluation of potential drugs before the initiation of clinical trials. 2013 The Authors. Published by Elsevier Ltd. Open access under CC BY license.
The Cognitive Advantage of Percussive Auditory Information

Can a small change in the parameter of a to-be-remembered tone sequence affect how likely it is that a listener will recall it later? Naturally occurring amplitude envelopes (the intensity of a sound over time) have been shown to facilitate memorization of a series of tones better than computer-generated, flat envelopes (Schutz, Stefanucci, Carberry & Roth, 2009). Specifically, tone sequences with percussive tone envelopes (those that have a short attack and an exponential decay) are learned faster than those with flat tone envelopes (tones with no attack or decay, only a static onset and offset of the amplitude), even though both sets of tone sequences are easily recognized. However, when participants are given equal exposure to either a set of percussive tones or flat tones, those who learn with percussive tones recall significantly more sequences than those who learn with flat tones. The experiments in this thesis replicated the effect found in Schutz et al. (2009) and suggest that the cognitive advantage of percussive amplitude envelopes does not have a specific locus (e.g. encoding or retrieval), but rather stems from information inherent to the tones themselves, and that this is effect is due to the ecological validity of
Numerical Assessment of the Effect of Injection Pressure and Load on Performance of a Diesel Engine Running on Different Biodiesel-Diesel Blends

The impact of fuel injection pressure and engine load on combustion characteristics and exhaust emissions of a compression ignition engine powered with different biodieseldiesel blends is conducted in the paper. The study was carried out by means of Computational fluid dynamics. Combustion of 10%, 20%, 50% and 100% Soybean biodiesel-diesel blends was conducted first with 4 injection pressures (60 to 120 MPa) at constant load and then with 4 loads (from 5 to 12 bar indicated mean effective pressure) maintaining a constant injection pressure. For fuels chemistry, two reduced chemical reaction mechanisms were used to account for diesel and biodiesel blends combustion. Performance parameters reported are peak cylinder pressure and its location, exhaust gas temperature and ignition delay, while emissions of carbon monoxide, carbon dioxide and Oxides of nitrogen were discussed. It is observed that fuel injection pressure increased maximum cylinder pressure for all blends, while its location was moved towards top dead center for blends higher than 20%. Exhaust gas temperatures also increase with increasing injection pressure and biodiesel percentage. Ignition delay was lowered for growing injection pressure but increases with biodiesel percentage. Injection pressure also increases NOx and reduces CO emissions. It was reported that CO2 is not sensitive to injection pressure variations. The raise in load also increases cylinder pressure, exhaust gas temperatures and CO2 emissions while it reduces ignition delay, CO and NOx
Mutual Information-based Feature Selection in Spectrometric Data for Agriculture Applications

This work presents a feature selection comparative of Mutual Information-based feature selection methods in agriculture industry applications. The starting point is a set of datasets in which near infrared spectroscopy (NIR) were applied to a variety of peach, apple and two varieties of cherry used to predict fruit properties (firmness and soluble solid contents). LS-SVM regression was the method used for model assessment. The different MI-based feature selection methods used (5 in total), were compared by considering ROC curves for different number of features. This type of application is essential in constructing optimal applications and instrumentation in fruit harvesting time optimization in agriculture industry.
IMPACT OF TQM ON ORGANIZATIONAL PERFORMANCE : THE MEDIATING ROLE OF BUSINESS INNOVATIVENESS AND LEARNING CAPABILITY

Previous literature has focused on the impact of Total Quality management (TQM) on firm’s financial performance (FP), but not checked the relationship of TQM on firm’s operational performance (OP) through mediators like organizational learning capability and business innovativeness. That is why the main purpose of this study is to check out the relationship among TQM, operational and financial performance through mediators like organizational learning capability (OLC) and Business innovativeness (BI). Cross sectional research design and deductive approach has been used in this study. The data has been collected from 244 companies which were from Gujranwala, Lahore and Sialkot region. This study proposed the interconnected relationship between TQM, organizational learning capability, Business innovativeness operational and financial performance. By our findings we get that there is a Positive significant relationship between TQM and organizational learning capability, TQM and Business innovativeness, business innovativeness and financial performance, organizational learning capability and financial performance, organizational learning capability and operational performance, Business innovativeness and operational performance. We also found that there is a partial mediation between Total quality management (TQM) and Operational performance (OP) through organizational learning capability (OLC) and between Total quality management (TQM) and financial performance (FP) through organizational learning capability (OLC). There is Full mediation between TQM and OP through Business innovativeness (BI) and between TQM and FP through BI. Organizational operational and financial performance depends upon the successful implications of the TQM practices in the organization and OLC by which employees can seek more knowledge to apply in business operations and by innovating the business operations. By fulfilling this criterion, firms can improve their operational and financial performance. Organizations reacted as very low response rate and those organizations which have just certification of ISO quality standards but not properly implemented the standards are the limitations of this study. Although Impact of TQM on Organizational Performance 2| this study is conducted in Asian context especially in Pakistan for the first time through mediators like Business innovativeness (BI) and organizational learning capability (OLC), it is expected that results of our study may have relevance to the other countries.