Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of the pre-analytical phase of a clinical analyses laboratory

Introduction: The pre-analytical phase encompasses the procedures prior to the performance of the laboratory tests, which are the physician’s requisition, patient and tests registration, collection and transport of samples. This phase involves different professionals and is responsible for the majority of the laboratory errors. Objective: To assess the pre-analytical phase of a public laboratory through quality indicators (QI). Method: Nonconformities (NC) in the physician’s requisitions and in the patients and tests registrations were evaluated during the quality checking process. A questionnaire was applied to evaluate the service and the satisfaction of the laboratory’s client. The QI were calculated considering the number of NC in the processes in relation to the total opportunities, compared with specifications described in the literature and evaluated by the Sigma metric. Results: The pre-analytical phase was evaluated by 34 QI. From these, 18 presented Sigma score lower than 3.0, six between 3.0 and 4.0, six above 4.0 and four presented Sigma score of 6.0. The completiton of requisitions presented worse performance than the process of tests registration. Regarding the three stages of the pre-analytical phase evaluated, the scheduling presented the worst performance, followed by the service at the reception and the sample collection. Conclusion: The evaluation of the QI allowed organizing the improvements that should be prioritized in the laboratory. The Sigma metric was useful for assessing the QIs considered important to the laboratory, for which there are no published specifications. The questionnaire for evaluating the laboratory’s service and client’s satisfaction was not a reliable tool for assessing the quality of the pre-analytical phase.
Accuracy of radial-velocity measurements for early-type stars - I. Spectral-type mismatch in A-type synthetic spectra

Measuring accurate radial velocities of rotating early-type (O-B-A) stars using cross-correlation techniques is hampered by the fact that object-template spectrum mismatch causes systematic errors that do not cancel out suciently in these spectra. This series of papers aims at quantifying those mismatch errors, understanding their astrophysical origin, and developing strategies to avoid them maximally. In this rst paper, we employ synthetic spectra to study mismatch between A-type main-sequence stars caused solely by dierences in Te and logg. We show that this spectral-type mismatch varies greatly throughout the spectrum, though with some degree of systematic dependence on rotational velocity and, to a lesser degree, on temperature. We propose a scheme for selecting spectral regions that should provide, for main-sequence A-type stars, accuracies better than 1k m s 1 for v sini 150 km s 1 and between 1 2k m s 1 for v sini up to 300 km s 1 . The scheme includes sucient spectral information to keep random errors conveniently small, but excludes all wavelength sub-intervals which produce systematic errors much larger than the above mentioned accuracy. Our predictions conrm the success of the methodology of Fekel (1985, 1999). We conclude that the proposed scheme needs further testing on a broad sample of real A-type spectra to see under what conditions of stellar individuality it may break down.
Change detection in hydrological records—a review of the methodology / Revue méthodologique de la détection de changements dans les chroniques hydrologiques

Abstract Abstract General guidance is offered as to the methodology of change detection in time series of hydrological data, embracing stages such as preparing a suitable data set, exploratory analysis, application of adequate statistical tests and interpretation of results. Although the paper cannot go into full details of the many existing tests, it gives an easy-to-follow overview, offering practical hints and describing caveats and misconceptions. It serves as a refresher, raising attention to essential things that have often been ignored. A particular recommendation of the paper is that greater use of distribution-free testing methods, particularly resampling methods, should be made. These methods are recommended because they are particularly suited to hydrological data, which are often strongly skewed (non-normal), seasonal and serially correlated. Resampling techniques are flexible, robust and powerful, and require only minimal assumptions to be made about the data.
Response-adaptive dose-finding under model uncertainty

Dose-ﬁnding studies are frequently conducted to evaluate the ef-fect of diﬀerent doses or concentration levels of a compound on a re-sponse of interest. Applications include the investigation of a newmedicinal drug, a herbicide or fertilizer, a molecular entity, an envi-ronmental toxin, or an industrial chemical. In pharmaceutical drugdevelopment, dose-ﬁnding studies are of critical importance becauseof regulatory requirements that marketed doses are safe and pro-vide clinically relevant eﬃcacy. Motivated by a dose-ﬁnding study inmoderate persistent asthma, we propose response-adaptive designsaddressing two major challenges in dose-ﬁnding studies: uncertaintyabout the dose-response models and large variability in parameterestimates. To allocate new cohorts of patients in an ongoing study,we use optimal designs that are robust under model uncertainty. Inaddition, we use a Bayesian shrinkage approach to stabilize the pa-rameter estimates over the successive interim analyses used in theadaptations. This approach allows us to calculate updated parameterestimates and model probabilities that can then be used to calculatethe optimal design for subsequent cohorts. The resulting designs arehence robust with respect to model misspeciﬁcation and addition-ally can eﬃciently adapt to the information accrued in an ongoingstudy. We focus on adaptive designs for estimating the minimumeﬀective dose, although alternative optimality criteria or mixturesthereof could be used, enabling the design to address multiple objec-tives. In an extensive simulation study, we investigate the operatingcharacteristics of the proposed methods under a variety of scenariosdiscussed by the clinical team to design the aforementioned clinicalstudy.Received April 2010; revised November 2010.
The Development of Date Mining System Based on Data mining Algorithms of B/S Framework

In this paper, it proposes a data mining system based on data mining algorithms of B/S framework, including the key parts such as visualization of data mining, processing of data mining processes and data storage etc…and initially achieves an agriculture data mining platform based on B/S framework based on the chain of responsibility pattern. Finally, it combines the specific application cases of agriculture data to validate the expansibility, flexibility and effectiveness of the agricultural data mining platform based on Web.
Brittle‐to‐Ductile Transition in Uniaxial Compression of Silicon Pillars at Room Temperature

Robust nanostructures for future devices will depend increasingly on their reliability. While great strides have been achieved for precisely evaluating electronic, magnetic, photonic, elasticity and strength properties, the same levels for fracture resistance have been lacking. Additionally, one of the self‐limiting features of materials by computational design is the knowledge that the atomistic potential is an appropriate one. A key property in establishing both of these goals is an experimentally‐determined effective surface energy or the work per unit fracture area. The difficulty with this property, which depends on extended defects such as dislocations, is measuring it accurately at the sub‐micrometer scale. In this Full Paper the discovery of an interesting size effect in compression tests on silicon pillars with sub‐micrometer diameters is presented: in uniaxial compression tests, pillars having a diameter exceeding a critical value develop cracks, whereas smaller pillars show ductility comparable to that of metals. The critical diameter is between 310 and 400 nm. To explain this transition a model based on dislocation shielding is proposed. For the first time, a quantitative method for evaluating the fracture toughness of such nanostructures is developed. This leads to the ability to propose plausible mechanisms for dislocation‐mediated fracture behavior in such small volumes.
Optimized Active Learning for User’s Behavior Modelling based on Non-Intrusive Smartphone

In order to protect the data in the smartphone, there is some protection mechanism that has been used. The current authentication uses PIN, password, and biometric-based method. These authentication methods are not sufficient due to convenience and security issue. Non-Intrusive authentication is more comfortable because it just collects user’s behavior to authenticate the user to the smartphone. Several non-intrusive authentication mechanisms were proposed but they do not care about the training sample that has a long data collection time. This paper propose a method to collect data more efficient using Optimized Active Learning. The Support Vector Machine (SVM) used to identify the effect of some small amount of training data. This proposed system has two main functionalities, to reduce the training data using optimized stop rule and maintain the Error Rate using modified model analysis to determine the training data that fit for each user. Finally, after we done the experiment, we conclude that our proposed system is better than Threshold-based Active Learning. The time required to collect the data can reduced to 41% from 17 to 10 minutes with the same Error Rate.
Uneasy Negotiations:

This paper examines the politics of urban space in the Indian city of Ahmedabad, focussing particular attention on the relationship of urban redevelopment to neoliberalism, Hindu nationalist politics and their intersections. While many scholars have studied the multiple ways in which urban landscapes are being re-imagined and re-configured as a result of neoliberal programs, few like Jane M. Jacobs and Arjun Appadurai have sought to specifically focus on the ways in which these neoliberal reconfigurations of the city intersect with racial, religious, and ethnic politics. This paper seeks to contribute to this slim but important body of literature so that we might better understand the multiple articulations and geographical specificities of this intersection and the challenges that it poses for creating inclusive cities in many parts of the world. Furthermore, by locating this study in Ahmedabad, a city which on the one hand has witnessed recurring violence against its minority Muslims at the instigation of Hindu nationalist organizations, and on the other hand is increasingly becoming an important local and regional site for articulating the desire to be “global,” this paper hopes to shed light on the ways in which, through their intersections in urban space, the neoliberal project and religious identity politics reconfigure each other, opening up at the same time greater challenges and new possibilities in the struggle for social justice. The paper examines the politics of urban space in Ahmedabad largely through the lens of an ambitious urban redevelopment project – the Sabaramti River Front Development Project, a US$ 262 million project currently under implementation. By interrogating the discourses and practices that constitute the multiple visions for and claims to the spaces marked for redevelopment under the project, and by examining the ways in which various actors attempt to negotiate their desires, interests and needs through the project, the paper seeks to make three arguments. First, that there are tensions in the pursuit of the project because of frictions between maintaining local legitimacy and pursuing neoliberal rationalities. Second, that the relationship between neoliberalism and Hindu nationalist politics is an uneasy one as a result of tensions between pursuing a wider political legitimacy for the state in order to attract global investment and pursuing blatantly exclusionary projects like Hindutva (a nationalist ideology that views India as a Hindu nation). And third, that as the class bias of urban redevelopment has collided with the religious bias of Hindu nationalist politics in a city where class and religion do not neatly overlap, the project has given rise to new, albeit fragile, alliances in the struggle for social justice and the right to the city. ---------------------------------------------------------------------------------------------------------------------
Adhesive Restorations and the Oral Environmental Behaviour

Adhesive restorations are based on the use of materials, which have the capacity to bond tooth effectively. This is possible due to a polymerizing hybrid layer interface created by the use of the Etch&Rinse (ERAs) and self-etching adhesives (SEAs). Bonding using ERAs include the acid-etching removal of the mineral phase from the substrates of enamel and dentine. A hybrid layer results by filling the voids left by minerals by means of adhesive monomers. However, etching dentine may result in too much demineralization and wetness with discrepancies in reinforcement at the bottom of hybrid layer. SEAs avoid the separate etching phase of ERAs using acidic functional monomers. In the two-step SEAs, hybridization is created by the application of a primer of different pH acidity, followed by an adhesive resin. In the ‘One-Step SEAs’, acidic and adhesive monomers are mixed in the same bottle thereby causing hybridization at the same time. 10-MDP mild SEAs represent the better bonding technology in dentistry due to the ability to form a strong chemical bond in tooth tissue. However, adhesive restorations have high vulnerability in the oral environment, which have been attributed to the esterase activity of Streptococcus mutans and hydrolysis by matrix metalloproteinase.
Influence of heat transfer types on residual stress distribution of a welded plate using finite element

Article history: Received March 20, 2013 Received in Revised form August, 21, 2013 Accepted 3 September 2013 Available online 4 September 2013 Generation of residual stress and structure deformation are the most important problems in the process of structure welding. Residual stresses inside and around the welded joints are harmful for integrity and proper functioning of the welded part. Tensile residual stresses near the weld zone may cause in developing brittle fracture, reduction of fatigue life or crack propagation caused by corrosion stresses. Welding residual stresses may even reach the yield stress of the part and can affect the thermal or mechanical working properties of it. Different thermal and mechanical approaches have been developed in the past in order to reduce these residual effects. Thus, both radiative and convective heat transfer methods have important roles in distribution of residual stresses during the welding process. In this study, convection and radiation effects on distribution of residual stress inside a welded part have been investigated for three different cases. In the first case, convection heat transfer was ignored and only effect of radiation on residual stress distribution was considered. In the second case, just the convection heat transfer applied on the model during the welding process. In another case, effects of radiation and convection heat transfer methods were investigated, simultaneously. Results of the current study showed that both radiative and convective heat transfer mechanisms have a significant share on distribution of residual stresses inside the welded part. It was also shown that the share of convection is greater than that of radiation heat transfer method.
Investing in Photovoltaics: Timing, Plant Sizing and Smart Grids Flexibility

In Italy and in many EU countries, the last decade was characterized by a large development of distributed generation power plants. Their presence determined new critical issues for the design and management of the overall energy system and the electric grid due to the presence of discontinuous production sources. It is commonly agreed that contingent problems that affect local grids (e.g. inefficiency, congestion rents, power outages, etc.) may be solved by the implementation of a “smarter” electric grid. The main feature of smarts grid is the great increase in production and consumption flexibility. Smart grids give producers and consumers, the opportunity to be active in the market and strategically decide their optimal production/consumption scheme. The paper provides a theoretical framework to model the prosumer’s decision to invest in a photovoltaic power plant, assuming it is integrated in a smart grid. To capture the value of managerial flexibility, a real option approach is implemented. We calibrate and test the model by using data from the Italian energy market.
EFFECT OF TRANSCUTANEOUS ELECTRICAL STIMULATION ON THE HYDROXYPROLINE CONTENT IN SEVERED SUPERFICIAL DIGITAL FLEXOR TENDON IN HORSES

Transcutaneous electrical stimulation (TES) has recently been used in resolving experimentally severed superficial flexor tendon which leads to acute tendonitis. However, mechanism by which (TES) promote tendon repair is not fully understood. In this study 4 right superficial flexor tendon of hind limb of horses were subjected to daily therapeutic regimen of TES for 10 minutes for 15 days using 100 Hz frequency and 80 s intensity ( 2.8 – 0.6 mA) after being severed in full length thickness in total length of 10 cm in the midtendon area and similarly in another 4 right tendon in control horses no treatment was applied. Tendons were subjected to ultrasonographical, histological and, tensile strength evaluation which has been reported separately for publication and hydroxyproline content for 60 days after treatment. There were remarkable differences between hyroxyproline contents of severed tendon with those of normal ones in control group, whereas there was not significant differences in treated tendons with those of normal ones in the same horses. This study suggests that using hydroxyproline content as a direct marker of the effect of TES on collagen content in injured tendon. J.Vet. Res. 62,2:43-47,2007.
The Comparative Study of Ownership Structure Effects (Mix and Concentration) on the Value of Companies Listed in Tehran Stock Exchange (Iran) and Bombay Stock Exchange (India)

The present is a comparative study investigating the effect of ownership structure (concentration and mix) on the value. It is an important issue in financial management texts and financial management discussions of companies. The present work is aimed to find the effect of ownership concentration and shareholding mix of a company in its value. The statistical population of the study includes all companies of pharmaceuticals and food industry, automobiles and auto parts, electricity, oil and gas, industry and mine except than investing and holding companies listed in Tehran stock exchange and Bombay stock exchange during 2006-2010. Based on the findings, there is a positive and significant relation between ownership concentration (natural and institutional) and the value of companies listed in Tehran stock exchange and Bombay stock exchange while there is no significant relation between ownership type (natural and institutional) and the value of companies listed in Tehran stock exchange. Further, in Bombay stock exchange, a negative and significant relation is observed between institutional ownership and the value of companies and also a positive and significant relation between natural ownership and the value of companies.
Evidence for mate-encounter Allee effect in an invasive longhorn beetle (Coleoptera: Cerambycidae)

1. Limited empirical support is available for mate-encounter Allee effects in invasive insects due to the logistical challenges of studying demographic trends in low-density populations. 2. Traps baited with pheromone and spruce volatiles were used to monitor the abundance of female Tetropium fuscum F. (Coleoptera: Cerambycidae) at multiple sites in Nova Scotia in 2011 and 2012. Each female was dissected to determine the presence or absence of sperm in its spermatheca (mated or virgin female, respectively). 3. Both male and total T. fuscum abundance declined with increasing distance to the focal point of T. fuscum’s invasion. Female mating probability declined with male abundance and with distance from the invasion focus, and mating probabilities were very low at the most peripheral sites. Difficulty in encountering mates may thus contribute to limiting the spread of T. fuscum. 4. The approach outlined here could be integrated into existing surveys of wood borers using traps baited with semiochemicals to improve our understanding of the role of the mate-encounter Allee effect in invasion dynamics.
Anisotropy of a Tensorial Bishop’s Coefficient for Wetted Granular Materials

AbstractThe objective of this research is to use grain-scale numerical simulations to analyze the evolution of stress anisotropy exhibited in wetted granular matter. Multiphysical particulate simulations of unsaturated granular materials were conducted to analyze how the interactions of contact force chains and liquid bridges affect macroscopic responses under various suction pressure and loading histories. To study how the formation and rupture of liquid bridges affect the mechanical responses of wetted granular materials, a series of suction-controlled triaxial tests were conducted with two grain assemblies, one composed of large particles of similar sizes, the other composed of a mixture of large particles with significant amount of fines. The results indicate that capillary stresses are anisotropic in both sets of specimens, and that stress anisotropy is more significant in granular assemblies filled with fine particles. A generalized tensorial Bishop’s coefficient is introduced to analyze the connect.
Real time human emotion recognition using artificial neural networks

Now a day’s one of the unsolved problem in computer vision is recognizing or understanding other people's emotions and feelings. Deep Convolutional Neural Networks (CNN) has tried to be economical in feeling recognition issues. The good degree of performance achieved by these classifiers can be attributed to their ability to self-learn a down-sampled feature vector that retains abstraction info through filter kernels in convolutional layers. In this paper we have a tendency to explore the impact of coaching the initial weights in associate unsupervised manner. we have a tendency to study the result of pre-training a Deep CNN as a Convolutional Auto-Multiplexer (CAM) in a very greedy layer-wise unsupervised fashion for emotion recognition mistreatment facial features pictures. once trained with at random initialized weights, our CNN feeling recognition model achieves a performance rate of 92.16% on the Karolinska Directed Emotional Faces (KDEF) dataset. In distinction, by using thispre-trained, the performance will increase to 93.52%. Pre-training our CNN as a CAM conjointly reduces coaching time marginally.
Overreaction and Noise Trading

This master thesis examines whether the opening price of a trading session is a result of overreaction generated by the interaction of noise traders. In order to study the overreaction and noise trading, we analyze the price retracement pattern of the Ibovespa futures contract. We also perform an econometric analysis, using probit and logit regressions, to see if and how the extent of price movement, volatility and trading volume affect the price retracement and consequently the overreaction. We find evidence that, the opening price is an inefficient price level result of noise trading. We also find significant effects of our considered explanatory variables: move length affects negatively, while volatility and trading volume have a positive impact on overreaction.