1,742 research outputs found

    Magnetization easy-axis in martensitic Heusler alloys estimated by strain measurements under magnetic-field

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    We study the temperature dependence of strain under constant magnetic-fields in Ni-Mn based ferromagnetic Heusler alloys in the form Ni-Mn-XX (XX: Ga, In, Sn, Sb) which undergo a martensitic transformation. We discuss the influence of the applied magnetic-field on the nucleation of ferromagnetic martensite and extract information on the easy-axis of magnetization in the martensitic state.Comment: 3 pages, 3 figures. Accepted for publication in Applied Physics Letter

    Further analysis of burkholderia pseudomallei mf2 and identification of putative dehalogenase gene by pcr

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    Halogenated organic compounds are extensively and widely used as pesticides, herbicides, and antibiotics that contribute to the pollution. This research was aimed to further analyze and characterize a bacterium that has the ability to utilize 2,2-dichloropropionic acid (2,2-DCP) as a model to study dehalogenase enzyme production. Microscopic observation, biochemical tests and PCR technique were carried out in order to characterize the isolated bacterium. Strain MF2 showed its ability to grow on 10 mM 2,2-DCP liquid minimal medium with doubling time of 13 h with maximum chloride ion released of 19.8 μmolCl–/mL. The 16S rDNA analysis suggested that strain MF2 belongs to the genus Burkholderia. This was supported by the microscopic observation and biochemical tests. Dehalogenase gene was observed when using only primers dehIfor1 and dehIrev2 derived from group I deh PCR primer sequences, whereas no amplification using dhlB-314-forward and dhlB-637-reverse (group II dehalogenase) and haloacetate dehalogenase (H2-1157-forward and H2-1662-reverse) PCR primer sequences. The results suggested that, possibly, dehalogenase from MF2 was related to group I deh. In conclusion, strain MF2 showed the ability to utilize 2,2-DCP as sole source of carbon and energy. Further analysis revealed the MF2 strain consisted of dehalogenase gene that could be used for degradation of man-made halogenated compounds present in the environment. Using existing dehalogenase PCR primers, it was possible to amplify the dehalogenase genes sequence

    Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation

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    Image-to-text radiology report generation aims to automatically produce radiology reports that describe the findings in medical images. Most existing methods focus solely on the image data, disregarding the other patient information accessible to radiologists. In this paper, we present a novel multi-modal deep neural network framework for generating chest X-rays reports by integrating structured patient data, such as vital signs and symptoms, alongside unstructured clinical notes.We introduce a conditioned cross-multi-head attention module to fuse these heterogeneous data modalities, bridging the semantic gap between visual and textual data. Experiments demonstrate substantial improvements from using additional modalities compared to relying on images alone. Notably, our model achieves the highest reported performance on the ROUGE-L metric compared to relevant state-of-the-art models in the literature. Furthermore, we employed both human evaluation and clinical semantic similarity measurement alongside word-overlap metrics to improve the depth of quantitative analysis. A human evaluation, conducted by a board-certified radiologist, confirms the model's accuracy in identifying high-level findings, however, it also highlights that more improvement is needed to capture nuanced details and clinical context

    Cooling and heating by adiabatic magnetization in the Ni50_{50}Mn34_{34}In16_{16} magnetic shape memory alloy

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    We report on measurements of the adiabatic temperature change in the inverse magnetocaloric Ni50_{50}Mn34_{34}In16_{16} alloy. It is shown that this alloy heats up with the application of a magnetic field around the Curie point due to the conventional magnetocaloric effect. In contrast, the inverse magnetocaloric effect associated with the martensitic transition results in the unusual decrease of temperature by adiabatic magnetization. We also provide magnetization and specific heat data which enable to compare the measured temperature changes to the values indirectly computed from thermodynamic relationships. Good agreement is obtained for the conventional effect at the second-order paramagnetic-ferromagnetic phase transition. However, at the first order structural transition the measured values at high fields are lower than the computed ones. Irreversible thermodynamics arguments are given to show that such a discrepancy is due to the irreversibility of the first-order martensitic transition.Comment: 5 pages, 4 figures. Accepted for publication in the Physical Review

    TMC Behavior Modeling and Life Prediction Under Multiaxial Stresses

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    The goal of this program was to manufacture and burst test small diameter SCS-6/Ti-6Al-4V composite rings for use in the design of an advanced titanium matrix composite (TMC) impeller. The Textron Specialty Metals grooved foil-fiber process was successfully used to make high quality TMC rings. A novel spin test arbor with "soft touch" fingers to retain the TMC ring was designed and manufactured. The design of the arbor took into account its use for cyclic experiments as well as ring burst tests. Spin testing of the instrumented ring was performed at ambient, 149C (300F), and 316C (600F) temperatures. Assembly vibration was encountered during spin testing but this was overcome through simple modification of the arbor. A spin-to-burst test was successfully completed at 316C (600F). The rotational speed of the TMC ring at burst was close to that predicted. In addition to the spin test program, a number of SCS-6/Ti-6Al-4V test panels were made. Neat Ti-6Al-4V panels also were made

    Öğretmen Eğitimi Programları ve Paradigmalarının Karşılaştırmalı Analizi

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    Bu çalışmanın amacı  New York, Singapur, Finlandiya, ve Türkiye’de benimsenen öğretmen yetiştirme programlarını ülkelerde baskın olan paradigmalar doğrultusunda incelemek ve araştırma sonuçlarından yola çıkarak Türkiye’de yapılacak olan yeniliklere katkıda bulunmaktır. Tarama modelinde desenlenen çalışmada ölçüt örneklem tekniği kullanılmıştır. Araştırmada nitel analiz teknikleri kullanımıştır. Araştırma sonucunda Finlandiya ve A.B.D’de öğretmen yetiştiren kurumların kendi programlarını belirlemede etkin oldukları, buna karşın Türkiye ve Singapur’da programların merkezi otoriteler tarafından belirlendiği ve bu durumun önemli bir zayıflık olduğu bulunmuştur.  Diğer yandan öğretmen eğitimi paradigması olarak A.B.D, Singapur ve Türkiye’de politika düzeyinde reformist paradigmaların vurgulanmasına karşın uygulamada rekabetçi ve yararlı bilgi paradigmasının baskın olduğu sonucuna ulaşılmıştır. Finlandiya ise işbirliği, araştırma temelli bilgi ve gelenekten ayrılma paradigmaları gibi reformist paradigmaların  gerek politika gerekse uygulama düzeyinde etkin olarak benimsendiği bir ülke konumundadır

    Novelty detection for topic tracking

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    Multisource web news portals provide various advantages such as richness in news content and an opportunity to follow developments from different perspectives. However, in such environments, news variety and quantity can have an overwhelming effect. New-event detection and topic-tracking studies address this problem. They examine news streams and organize stories according to their events; however, several tracking stories of an event/topic may contain no new information (i.e., no novelty). We study the novelty detection (ND) problem on the tracking news of a particular topic. For this purpose, we build a Turkish ND test collection called BilNov-2005 and propose the usage of three ND methods: a cosine-similarity (CS)-based method, a language-model (LM)-based method, and a cover-coefficient (CC)-based method. For the LM-based ND method, we show that a simpler smoothing approach, Dirichlet smoothing, can have similar performance to a more complex smoothing approach, Shrinkage smoothing. We introduce a baseline that shows the performance of a system with random novelty decisions. In addition, a category-based threshold learning method is used for the first time in ND literature. The experimental results show that the LM-based ND method significantly outperforms the CS- and CC-based methods, and categorybased threshold learning achieves promising results when compared to general threshold learning. © 2011 ASIS&T

    A Novel Synthetic Route for the Preparation of an Amorphous Co/Fe Prussian Blue Coordination Compound with High Electrocatalytic Water Oxidation Activity

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    Co/Fe Prussian Blue coordination networks have recently been investigated for heterogeneous water oxidation catalysis. Despite their robustness and stability in both acidic and neutral media, the relatively low current density obtained is their main drawback as a result of their low surface concentration. A novel synthetic approach was employed using a pentacyanometalate-based metallopolymer for the preparation of amorphous Co/Fe coordination polymers to overcome this problem. The surface concentration was improved approximately 7-fold, which also resulted in an increase in the catalytic activity. A current density of 1 mA·cm-2 was obtained only at = 510 mV, while the same current density could be obtained at higher overpotentials (>600 mV) with conventional Prussian Blue analogues. IR, X-ray photoelectron spectroscopy, and energy-dispersive X-ray spectroscopy studies were performed to investigate the stability of electrodes before and after the electrocatalytic process. The results of this study indicate that the rich and diverse chemistry of pentacyanometalates makes them potential candidates for application in heterogeneous water oxidation catalysis. © 2016 American Chemical Society

    Probing Spatial Myeloid Heterogeneity in Glioblastoma

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    https://openworks.mdanderson.org/sumexp22/1015/thumbnail.jp

    Myeloperoxidase enzyme levels and oxidative stress in bipolar disorders

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    Oxidative stress and generalized inflammatory state are features of bipolar disorders (BD). The objective of this study was to compare the levels of products of inflammatory reaction and oxidative stress markers in patients with bipolar disorders and attention deficit/hyperactivity disorder (ADHD) and to determine the relationship between oxidative stress and inflammation in bipolar disorders. ADHD+BD (n = 30) and BD (n = 30) and healthy controls (n = 30) were enrolled. A clinical evaluation andmeasurements of malondialdehyde (MDA), high sensitive C reactive protein (hsCRP) and myeloperoxidase (MPO) were performed. Patients with BD+ADHD comorbidity had significantly higher mean MPO levels than BD. Patients with BD had significantly higher mean hsCRP levels than healthy controls. However, there was no significant difference in mean serum hsCRP levels between patients with BD+ADHD and healthy controls. Patients with BD and BD+ADHD had significantly higher mean MDA levels than healthy controls. Our data showed that there is an increased susceptibility to oxidative stress which is strongly related to the serum levels of MDA produced in the serum. hsCRP levels were higher in BD patients than in BD+ADHD and this is suggestive of a higher degree of inflammatory activity in BD patients. ADHD+BD comorbidity seems to augment oxidative stress which is expressed as increased MPO level in the present study. Further large scale studies are needed to extend ourresults
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