Miracle-dz/UniFAR-FTUs huggingface dataset:
Hemolytic anemia after zopiclone overdose

Introduction. Zopiclone is associated with methemoglobinemia. We report a case of zopiclone overdose manifested with another hematological complication, hemolysis. Case. A 46-year-old woman overdosed with 50–100 tablets of 7.5 mg zopiclone. Oxidative hemolysis was evident by anemia, bite cells, raised unconjugated bilirubin and lactate dehydrogenase, lowered haptoglobin, and reticulocytosis. Discussion. In zopiclone overdose, there may be oxidative stress rendering the development of not only methemoglobinemia but also hemolysis.
Electrodeposition and Photoelectrocatalytic Activity of ZnO Films on AISI 304 Type Steel

Istirta cinko(II) acetato elektrocheminė redukcija ant AISI 304 markės nerūdijanciojo plieno ir, taikant galvanostatinį metodą, nustatytos ZnO dangų sintezės optimalios sąlygos: srovės tankis 1 mA cm –2 , elektrolizės trukmė – 10 min, elektrolito temperatūra – 60 °C – 70 °C, dangos kiekis – 0,30 mg cm –2 . Nustatyta, kad sviežiai nusodintose ZnO dangose vyrauja plokstelių pavidalo cinko oksidas, savo struktūroje turintis įterptų acetato jonų. Iskaitinus gautąsias dangas 400 °C temperatūroje, susidaro granulių pavidalo cinko oksidas, kurio kristalitų vidutinis dydis yra 29 nm. Gautosios ZnO dangos yra aktyvios veikiant UV spinduliuotei, taciau jų aktyvumas priklauso nuo paruosimo sąlygų: didžiausią fotosrove 0,1 mol/l K 2 SO 4 tirpale generuoja 400 °C temperatūroje iskaitintos dangos. Istyrus dangų fotoelektrocheminį aktyvumą metanolio atžvilgiu nustatyta, kad, didinant metanolio koncentraciją, elektrolite didėja stebimosios fotosrovės. DOI: http://dx.doi. org/10.5755/j01.ms.18.4. 3089
Prognostic Factors in Adult Acute Lymphoblastic Leukemia

Abstract The prognosis of patients with acute lymphoblastic leukemia (ALL), treated with modern chemotherapeutic regimens, is dependent on a number of variables. The major prognostic factors for survival in adult ALL are age, cytogenetic abnormalities, immunologic subtype, white blood cell (WBC) count, and time to achieve complete remission (CR). Determination of these factors is crucial for adapting post remission therapy in adult ALL. Indeed, risk-adapted strategies based on those biologic and clinical features are currently being applied to improve survival. In this review, we report the different prognostic factors described in adult ALL and discuss the controversies in current adult ALL management in relation with these different features. The data reported are derived from the medical literature and from the experience of the authors. Prognostic factors appear to be time-dependent. This emphasizes their determination according to the phase of treatment. The use of time-segmented multivariate analysis able to distinguish prognostic factors associated with the induction phase and those associated with the post-induction phase of treatment seems suitable to define accurately prognostic models.
Signature Verification using Graph Matching and Cross-Validation Principle

Identification of a person depending on his physiological or behavioral characteristics is done using Biometric System. Signature verification is a commonly used biometric method and is widely used for financial transactions. In this paper, we propose Signature Verification using Graph Matching and Cross-Validation Principle (SVGMC) algorithm. Preprocessing is carried out to extract signature feature to obtain high resolution for smaller normalization box. The identical measure between two signatures in the database is determined by (i) Bipartite graph G, (ii) Complete matching in G and (iii) Minimum Euclidean distance. An optimum threshold value is determined using Cross-validation technique to select reference signatures. Pre-processing is performed on the given signature to extract test feature. Then the test feature is compared with the threshold value to verify the test signature. Better Equal Error Rate (EER) is obtained for skilled and random forgeries.
Computing Compressed Multidimensional Skyline Cubes Efficiently

Recently, the skyline computation and analysis have been extended from one single full space to multidimensional subspaces, which can lead to valuable insights in some applications. Particularly, compressed skyline cubes in the form of skyline groups and their decisive subspaces provide a succinct summarization and compression of multidimensional subspace skylines. However, computing skyline cubes remains a challenging task since the existing methods have to search an exponential number of nonempty subspaces for subspace skylines. In this paper, we propose a novel and efficient method, Stellar, which exploits an interesting skyline group lattice on a small subset of objects which are in the skyline of the full space. We show that this skyline group lattice is easy to compute and can be extended to the skyline group lattice on all objects. After computing the skyline in the full space, Stellar only needs to enumerate skyline groups and their decisive subspaces using the full space skyline objects. Avoiding searching for skylines in an exponential number of subspaces improves the efficiency and the scalability of subspace skyline computation substantially in practice. An extensive performance study verifies the merits of our new method.
SRD: a Staphylococcus regulatory RNA database

An overflow of regulatory RNAs (sRNAs) was identified in a wide range of bacteria. We designed and implemented a new resource for the hundreds of sRNAs identified in Staphylococci, with primary focus on the human pathogen Staphylococcus aureus. The “Staphylococcal Regulatory RNA Database” (SRD, http://srd.genouest.org/) compiled all published data in a single interface including genetic locations, sequences and other features. SRD proposes novel and simplified identifiers for Staphylococcal regulatory RNAs (srn) based on the sRNA's genetic location in S. aureus strain N315 which served as a reference. From a set of 894 sequences and after an in-depth cleaning, SRD provides a list of 575 srn exempt of redundant sequences. For each sRNA, their experimental support(s) is provided, allowing the user to individually assess their validity and significance. RNA-seq analysis performed on strains N315, NCTC8325, and Newman allowed us to provide further details, upgrade the initial annotation, and identified 159 RNA-seq independent transcribed sRNAs. The lists of 575 and 159 sRNAs sequences were used to predict the number and location of srns in 18 S. aureus strains and 10 other Staphylococci. A comparison of the srn contents within 32 Staphylococcal genomes revealed a poor conservation between species. In addition, sRNA structure predictions obtained with MFold are accessible. A BLAST server and the intaRNA program, which is dedicated to target prediction, were implemented. SRD is the first sRNA database centered on a genus; it is a user-friendly and scalable device with the possibility to submit new sequences that should spread in the literature.
Estimating the prevalence of Trichomonas vaginalis, Chlamydia trachomatis, Neisseria gonorrhoeae, and human papillomavirus infection in indigenous women in northern Australia.

OBJECTIVE: To estimate more accurately the age specific prevalence of Trichomonas vaginalis, Chlamydia trachomatis, Neisseria gonorrhoeae, and human papillomavirus infection (HPV) in indigenous women living in urban, rural, and remote areas of the "Top End" of the Northern Territory (NT). DESIGN: Analysis of data obtained from two community based studies using self administered tampon specimens tested by polymerase chain reaction for sexually transmitted disease (STD). Data pertaining to the notifiable STDs (N gonorrhoeae and C trachomatis) were obtained from the NT health department. PATIENTS: 1090 indigenous women (age range 12-73 years) were enrolled when they attended local community health centres, family planning clinics, and STD clinics. The majority attended clinics in their home community in the course of "well women's checks" which encourage women to undergo screening for a variety of general medical conditions. RESULTS: The overall prevalence of T vaginalis, C trachomatis, N gonorrhoeae, and HPV was 0.25 (95% CI: 0.22-0.28), 0.11 (0.09-0.13), 0.17 (0.15-0.19), and 0.42 (0.37-0.48) respectively. Of the women found to be infected (excluding HPV), 25.5% had two or more of the above organisms detected. There was a statistically significant increase in the age specific prevalence of T vaginalis but a significant decrease with age for C trachomatis and HPV infection. There was no statistically significant change for N gonorrhoeae with age. CONCLUSIONS: STDs are hyperendemic in this population of indigenous women and the notification data significantly underestimate their prevalence. Distinct patterns of age specific prevalence were demonstrated, highlighting the need to tailor control strategies to specific epidemiological features.
Insertion bonding: A novel Cu-Cu bonding approach for 3D integration

A novel low temperature Cu-Cu bonding approach called the insertion bonding technique has been developed. This technique leverages on the initiation of high shear stresses at metal-metal contact interface, thus resulting in high plastic deformation, which is essential for strong bond formation. Through finite element studies, it is observed that the insertion bonding technique result in significantly larger plastic deformation in comparison to the conventional bonding technique under the same bonding conditions. Experimental studies of the insertion bonding technique were performed and it is observed that a seamless bond interface is achieved, even at a low bonding temperature of 100°C. Bonding at room temperature (RT) in the presence of a surface cleaning agent resulted in an improved bond interface. Resistance measurement of the samples bonded at 100°C revealed that an electrical contact is achieved between the stacked dies. This shows that the insertion bonding techniques holds much promise for low temperature Cu-Cu bonding.
Urinary nuclear matrix protein 22 for diagnosis of renal cell carcinoma

Objective To determine the incidence of positive urinary nuclear matrix protein 22 (NMP22) values, which are currently used to detect transitional cell carcinoma of the bladder, in renal cell carcinoma (RCC). Material and methods Urinary NMP22 values were determined preoperatively in 41 patients in whom a solid renal mass had been detected using CT and who were scheduled for radical nephrectomy; 38 of these patients were diagnosed with RCC. Two patients had xanthogranulomatous pyelonephritis and one had metastasis of a small cell adenocarcinoma to the kidney; these patients were excluded from the study. A total of 30 patients with kidney stones and simple renal cysts were used as controls. Results The urinary NMP22 values of the RCC patients were significantly higher than those of the controls. Of the 38 patients with RCC, 23 (60.5%) had positive urinary NMP22 values ≥10 U/ml. There were four measurements above this cut-off level in the control group. Urinary NMP22 values increased with an increase in pathologic tumor stage, but the correlation was not statistically significant. There was no correlation between grade and urinary NMP22 or between tumor burden and urinary NMP22. Conclusions The urinary NMP22 test may help to diagnose RCC and may also result in an increase in the incidental discovery of RCC. As elevated urinary NMP22 levels have also been found to occur in RCC, patients with suspected bladder cancer and positive urinary NMP22 levels should be more broadly evaluated. Specific NMP assays for renal tumor cells may increase the utility of the test for RCC.
MCTS Based on Simple Regret

UCT, a state-of-the art algorithm for Monte Carlo tree search (MCTS) in games and Markov decision processes, is based on UCB, a sampling policy for the Multi-armed Bandit problem (MAB) that minimizes the cumulative regret. However, search differs from MAB in that in MCTS it is usually only the final ``arm pull'' (the actual move selection) that collects a reward, rather than all ``arm pulls''. Therefore, it makes more sense to minimize the simple regret, as opposed to the cumulative regret. We begin by introducing policies for multi-armed bandits with lower finite-time and asymptotic simple regret than UCB, using it to develop a two-stage scheme (SR+CR) for MCTS which outperforms UCT empirically. Optimizing the sampling process is itself a metareasoning problem, a solution of which can use value of information (VOI) techniques. Although the theory of VOI for search exists, applying it to MCTS is non-trivial, as typical myopic assumptions fail. Lacking a complete working VOI theory for MCTS, we nevertheless propose a sampling scheme that is ``aware'' of VOI, achieving an algorithm that in empirical evaluation outperforms both UCT and the other proposed algorithms.
Interfacial structure and fracture of aluminium alloy A356–SiC particle metal matrix composite

AbstractThe interfacial structure in a SiC particle reinforced aluminium alloy matrix composite has been investigated using analytical electron microscopy. It was established that no appreciable chemical reaction takes place at either silicon/SiC particle or aluminium/SiC particle interfaces. Segregation of certain alloy elements was observed using an electron microprobe. Depletion of magnesium was found to occur at the aluminium/SiC particle interfaces. Precipitation was observed on dislocations, particularly in the region of the SiC/aluminium interface. Microcracks were found at silicon/SiC particle interfaces and their probable causes are discussed. Fracture surfaces were carefully examined using scanning electron microscopy. The results imply that the silicon–SiC bonding is more brittle than the aluminium–SiC bonding. Cracks were also found in the fracture surfaces, which suggests that intergranular separation had occurred. The fracture surface tends to exhibit a more brittle morphology in the composi.
Therapeutic options in neuromyelitis optica spectrum disorders

SUMMARY Neuromyelitis optica is a relapsing inflammatory disorder of the central nervous system that manifests predominantly with attacks of optic neuritis and longitudinally extensive transverse myelitis; attacks are often severe. In contrast to multiple sclerosis, a secondary progressive phase is rare, and disability in neuromyelitis optica spectrum disorders is related to relapses. Thus, prompt and effective treatment of relapses, and early initiation of long-term immunosuppression to prevent subsequent attacks is required in order to prevent morbidity and mortality.
Lossless Coding for Distributed Streaming Sources

Distributed source coding is traditionally viewed in a block coding context wherein all source symbols are known in advance by the encoders. However, many modern applications to which distributed source coding ideas are applied, are better modeled as having streaming data. In a streaming setting, source symbol pairs are revealed to separate encoders in real time and need to be reconstructed at the decoder with subject to some tolerable end-to-end delay. In this paper, a causal sequential random binning encoder is introduced and paired with maximum likelihood (ML) and universal decoders. The latter uses a novel weighted empirical suffix entropy decoding rule. We derive a lower bounds on the error exponent with delay for each decoder. We also provide upper bounds for the special case of streaming with decoder side information and discuss when upper and lower bounds match. We show that both ML and universal decoders achieve the same (positive) error exponents for all rate pairs inside the Slepian-Wolf achievable rate region. The dominant error events in streaming are different from those in block-coding and result in different exponents. Because the sequential random binning scheme is also universal over delays, the resulting code eventually reconstructs every source symbol correctly with probability one.
Characterization of on-road vehicle emissions in the Mexico City Metropolitan Area using a mobile laboratory in chase and fleet average measurement modes during the MCMA-2003 field campaign

A mobile laboratory was used to measure on- road vehicle emission ratios during the MCMA-2003 field campaign held during the spring of 2003 in the Mexico City Metropolitan Area (MCMA). The measured emission ratios represent a sample of emissions of in-use vehicles under real world driving conditions for the MCMA. From the rel- ative amounts of NOx and selected VOC's sampled, the re- sults indicate that the technique is capable of differentiating among vehicle categories and fuel type in real world driv- ing conditions. Emission ratios for NOx, NOy, NH3, H2CO, CH3CHO, and other selected volatile organic compounds (VOCs) are presented for chase sampled vehicles in the form of frequency distributions as well as estimates for the fleet av- eraged emissions. Our measurements of emission ratios for both CNG and gasoline powered "colectivos" (public trans- portation buses that are intensively used in the MCMA) indi- cate that - in a mole per mole basis - have significantly larger NOx and aldehydes emissions ratios as compared to other sampled vehicles in the MCMA. Similarly, ratios of selected VOCs and NOy showed a strong dependence on traffic mode. These results are compared with the vehicle emissions inven- tory for the MCMA, other vehicle emissions measurements in the MCMA, and measurements of on-road emissions in U.S. cities. We estimate NOx emissions as 100 600±29 200 metric tons per year for light duty gasoline vehicles in the MCMA for 2003. According to these results, annual NOx emissions estimated in the emissions inventory for this cate- gory are within the range of our estimated NOx annual emis- sions. Our estimates for motor vehicle emissions of benzene, toluene, formaldehyde, and acetaldehyde in the MCMA in- dicate these species are present in concentrations higher than previously reported. The high motor vehicle aldehyde emis- sions may have an impact on the photochemistry of urban areas.
Fabrication of Hydroxyapatite Microcapsule Containing Vitamin B12 for Sustained-Release

When either the pH or temperature of simulated body fluid (SBF) are raised, fine particles of calcium phosphate are precipitated. We found that these fine particles actively induce hydroxyapatite formation from body fluid or SBF and named the particles Apatite Nuclei. In this study, we fabricated hollow hydroxyapatite microcapsules by using Apatite Nuclei. We inserted vitamin B12 in the hollow microcapsule and examined thesustained-release properties.
Carsim: A system to visualize written road accident reports as animated 3D scenes

This paper describes a system to create animated 3D scenes of car accidents from reports written in Swedish. The system has been developed using news reports of varying size and complexity. The text-to-scene conversion process consists of two stages. An information extraction module creates a structured representation of the accident and a visual simulator generates and animates the scene. We first describe the overall structure of the text-to-scene conversion and the structure of the representation. We then explain the information extraction and visualization modules. We show snapshots of the car animation output and we conclude with the results we obtained.
The Longitudinal Shear Modulus of a Unidirectional Fibrous Composite

(i) that the fibres are solid circular cylinders of equal radius with ratio of length to diameter so large that they may be considered to be of infinite length, (ii) that both the fibres and the matrix in which they are imbedded are linearly elastic, isotropic and homogeneous, (iii) that there is perfect bonding between the fibres and the matrix, (iv) that the composite is homogeneous in the macroscopic sense, and (v) that the fibres are distributed in a regular array with sufficient symmetry to ensure that the composite has only one modulus, which we call the longitudinal shear modulus, for shear parallel to the fibres. The method employed to determine the longitudinal shear modulus involves a
A predictive framework for the design and fabrication of icephobic polymers

Here, we show how to predictably impart extremely low ice adhesion to a range of different plastic materials. Ice accretion remains a costly, hazardous concern worldwide. Icephobic coatings reduce the adhesion between ice and a surface. However, only a handful of the icephobic systems reported to date reduce the ice adhesion sufficiently for the facile and passive removal of ice, such as under its own weight or by mild winds. Most of these icephobic surfaces have relied on sacrificial lubricants, which may be depleted over time, drastically raising the ice adhesion. In contrast, surfaces that use interfacial slippage to lower their adhesion to ice can remain icephobic indefinitely. However, the mechanism of interfacial slippage, as it relates to ice adhesion, is largely unexplored. We investigate how interfacial slippage reduces the ice adhesion of polymeric materials. We propose a new, universally applicable framework that may be used to predict the reduction in the adhesion of ice to surfaces exhibiting interfacial slippage. This framework allows one to rationally engender icephobicity in essentially any polymeric system, including common thermoplastics. Hence, we present several new, extremely icephobic systems fabricated from a wide range of materials, including everyday engineering plastics and sustainable, natural oils.
Learning a Discriminative Distance Metric With Label Consistency for Scene Classification

To achieve high scene classification performance of high spatial resolution remote sensing images (HSR-RSIs), it is important to learn a discriminative space in which the distance metric can precisely measure both similarity and dissimilarity of features and labels between images. While the traditional metric learning methods focus on preserving interclass separability, label consistency (LC) is less involved, and this might degrade scene images classification accuracy. Aiming at considering intraclass compactness in HSR-RSIs, we propose a discriminative distance metric learning method with LC (DDML-LC). The DDML-LC starts from the dense scale invariant feature transformation features extracted from HSR-RSIs, and then uses spatial pyramid maximum pooling with sparse coding to encode the features. In the learning process, the intraclass compactness and interclass separability are enforced while the global and local LC after the feature transformation is constrained, leading to a joint optimization of feature manifold, distance metric, and label distribution. The learned metric space can scale to discriminate out-of-sample HSR-RSIs that do not appear in the metric learning process. Experimental results on three data sets demonstrate the superior performance of the DDML-LC over state-of-the-art techniques in HSR-RSI classification.