Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal triple-phase-shift controller design of isolated bidirectional DC-DC converter based on ant colony algorithm and BP neural network

This paper takes the isolated bidirectional dual active bridge (DAB) dc-dc converter with triple-phase-shift (TPS) control as the research object. A novel controller design method based on the ant colony optimization (ACO) through time-domain performance feedback is proposed, where a simulation model is required rather than a mathematical one. On this basis, the second order controller for DAB is designed to improve the dynamic performance and robustness of the system output, and the optimal TPS control scheme based on BP neural network is also developed to minimize current stress and achieve full soft switching of DAB in the whole load range. The efficiency of the converter increased accordingly compared with the conventional single-phase-shift control. Specially, the proposed controller design method has strong universality, and could be used for controller design of other systems. Finally, a DAB prototype model is constructed in Matlab/Simulink software, and the performance of controller is verified by the simulation results.
Hydrodissection: an easy way to dissect anatomical planes and complex adhesions.

BACKGROUND Sharp dissection of adherent tissues resulting from previous sepsis or surgery is frequently time-consuming and sometimes difficult. METHODS The introduction of saline under pressure into the plane of dissection facilitates this task. RESULTS Hydrodissection both creates and displays the correct plane between adherent tissues. CONCLUSIONS This technique increases the safety and decreases the time spent in adhesiolysis in re-operative surgery.
Assessing the Impact of Family-Centered Empowerment Model on Self-Care of Patients With Prosthetic Heart Valves

Background: A heart valve disease is an important cardiovascular disease. Patients need long-term care after heart valve replacement, while promoting such patients’ self-care is very important. In this study, the impacts of family-centered empowerment model on self-care of patients with prosthetic heart valves were assessed. Methods: This clinical controlled study was done at Tehran armed forces hospitals in 2015. After transferring patients from the intensive care unit (ICU), samples of the study and active members of their family were selected through the convenient method. Family-centered empowerment model was performed for the experimental group in four steps: perceived threat, self-efficacy, selfesteem and evaluation through group discussion, group problem solving, educational participation (in three to five sessions) and providing educational cards and manual for the patients and the active members of their family. The control group received routine care. Patients’ self-care was assessed before and after the intervention and also one and half month after the intervention. There was no intervention for the control group. Data analysis was done through descriptive and inferential statistical tests via the SPSS
Role of potassium channel gene Kcnj10 in ethanol preference in C57bl/6J and DBA/2J mice.

BACKGROUND Inwardly-rectifying potassium channel protein Kir4.1 is encoded by Kcnj10 which maps to a quantitative trait locus on chromosome 1 for the voluntary alcohol consumption phenotype in mice. Kcnj10 brain expression differences have been established between ethanol-preferring C57Bl/6J and ethanol-avoiding BALB/cJ mice, but its differential expression in other tissues and strains have largely been overlooked. A nonsynonymous single nucleotide polymorphism exists between C57Bl/6J and ethanol-avoiding DBA/2J mice which changes amino acid 262 from threonine (C57Bl/6J) to serine (DBA/2J). This Kcnj10 SNP and its expression may serve as valuable markers in predicting the ethanol preference phenotype in mice. METHODS The evolutionary divergence of the Kir gene family was characterized using phylogenetic analysis involving the 16 mouse Kir channels. Kcnj10 expression differences in the brain, liver, lung, heart, spleen, kidney, testes, and muscle of male C57Bl/6J and DBA/2J mice at different developmental stages were examined using semiquantitative RT-PCR analysis. A SNP analysis was conducted to assess the association of Kcnj10 Thr262Ser SNP and the ethanol preference phenotype in F2 mice derived from the reciprocal crosses of the C57Bl/6J and DBA/2J strains. RESULTS Evolutionary analysis supports gene duplication and genetic recombination as likely sources of diversity within the Kir gene family. Semiquantitative RT-PCR analysis revealed significantly higher Kcnj10 expression in the brain, spleen, and kidney of both strains when compared to other tissues from the same strain. There were no significant differences in tissue-specific mRNA levels between strains except in the testes. Genotype distributions of the Kcnj10 Thr262Ser SNP were different between low- and high-drinkers. A significant difference in the average ethanol preference level of each genotype was also observed. CONCLUSION Our results suggest a role for Kcnj10 in ethanol preference determination in mice. However, further experiments are needed to establish if this association is due to the nonsynonymous SNP or other additional factors associated with Kcnj10.
The Overview of Chinese Information Extraction

Summary The purpose of Information Extraction (IE) is to analyze and process large amounts of data, to discover useful knowledge and to provide the answer to the question for the user. It is a kind of effective way to realize information standardization. In the recent ten years, IE has developed to be one kind of technology that is parallel to Information Retrieval (IR). After discussing the research status of Chinese IE, the paper presents Chinese IE system architecture, and point out the opportunities and challenges of Chinese IE: semantic annotation.
Change impact analysis with a software traceability approach to support software maintenance

Change impact is an important issue in software maintenance phase. As retesting is required over a software change, there is a need to keep track of software impact associated with changes. Even a small software change can ripple through to cause a large unintended impact elsewhere in the system that makes it difficult to identify the affected functionalities. The impact after changes demands for a special traceability approach. This paper presents a new approach and prototype tool, Hybrid Coverage Analysis Tool (HYCAT), as a proof of concept to support the software manager or maintainers to manage impact analysis and its related traceability before and after a change in any software artifact. The proposed approach was then evaluated using a case study, On-Board Automobile (OBA), and experimentation. The traceability output before and after changes were produced and analyzed to capture impact analysis. The results of the evaluation show that the proposed approach has achieved some promising output and remarkable understanding as compared to existing approaches.
Development of 10kV, 50A, 50kHz High Repetitive Pulsed Power Modulator Based on IGBT Stacks

This paper describes the development of high repetitive pulsed power modulator based on IGBT stacks. The designed maximum specification of pulsed power modulator is 10 kV, 50 A, 50 kHz pulsed output for the application of PSII, DLC and sputtering system. The proposed pulsed power modulator consists of high efficiency current resonant inverter for the high voltage charging unit and IGBT stacks and related drive circuits for pulsed power output unit. Since it generates high voltage pulse from IGBT stacks without step up transformer, it shows fast pulse rising time(< 200 nsec) and higher rate of pulse repetition(up to 50 kHZ). Also when compared with MOSFET based system, it has an intrinsic capability of handling large currents for the short period at arching condition. The designed high repetitive pulsed power modulator can be used for various kinds of application which require few kilovolts, few tens of ampere pulsed power with a range of few microseconds up to 50 kHz.
Red Cell Destruction in Vivo by Low Concentrations of IgG Anti‐A

Summary. Red cells coated with as little as 0.3–0.5 μg anti‐A/ml cells were found to agglutinate if mixed with plasma and rocked on a tile, whereas the minimum amount of IgG anti‐Rh required for agglutination under these conditions was about 50 μg antibody/ml cells. Complement binding by red cells coated with IgG anti‐A could be demonstrated only when the amount of antibody on the cells was at least 14 μg antibody/ml cells. Since in ABO haemolytic disease the amount of antibody on the cells is frequently less than 0.6 μg/ml cells, it seems that red cell destruction in this syndrome is not due to the activation of complement but may be due to the sequestration of agglutinated cells.
Predictors of Neuropsychological Impairment in Seizure‐free Epilepsy Patients

Summary: Persons with epilepsy are at increased risk of cognitive deficits as a result of various factors like etiology, structural brain lesions, seizure frequency, seizure type, age at onset of epilepsy, hereditary factors, psychosocial factors, and possible adverse effects of antiepileptic drugs (AEDs). Despite the fact that the majority of epilepsy patients are seizure‐free, previous studies on the relationship between epilepsy‐related variables and cognitive function have mainly been conducted on patients with persisting seizures. In this study 158 adults with epilepsy on AED monotherapy and without epileptic seizures for at least 2 years were investigated with a neuropsychological test battery in addition to a neurological examination, MRI and EEG. The major findings were that the group had education and employment status similar to the population mean and neuropsychological function in the normal range. In the patient group without idiopathic generalized epilepsy known cerebral etiology was found to be a highly significant predictor of neuropsychological deficit. For patients with idiopathic generalized epilepsy, early seizure debut at ≤18 years was a powerful predictor of neuropsychological impairment.
Biosynthesis of hemiketal eicosanoids by cross-over of the 5-lipoxygenase and cyclooxygenase-2 pathways

The prostaglandin and leukotriene families of lipid mediators are formed via two distinct biosynthetic pathways that are initiated by the oxygenation of arachidonic acid by either cyclooxygenase-2 (COX-2) or 5-lipoxygenase (5-LOX), respectively. The 5-LOX product 5S-hydroxyeicosatetraenoic acid, however, can also serve as an efficient substrate for COX-2, forming a bicyclic diendoperoxide with structural similarities to the arachidonic acid-derived prostaglandin endoperoxide PGH2 [Schneider C, et al. (2006) J Am Chem Soc 128:720–721]. Here we identify two cyclic hemiketal (HK) eicosanoids, HKD2 and HKE2, as the major nonenzymatic rearrangement products of the diendoperoxide using liquid chromatography–mass spectrometry analyses as well as UV and NMR spectroscopy. HKD2 and HKE2 are furoketals formed by spontaneous cyclization of their respective 8,9-dioxo-5S,11R,12S,15S-tetrahydroxy- or 11,12-dioxo-5S,8S,9S,15S-tetrahydroxy-eicosadi-6E,13E-enoic acid precursors, resulting from opening of the 9S,11R- and 8S,12S-peroxide rings of the diendoperoxide. Furthermore, the diendoperoxide is an efficient substrate for the hematopoietic type of prostaglandin D synthase resulting in formation of HKD2, equivalent to the enzymatic transformation of PGH2 to PGD2. HKD2 and HKE2 were formed in human blood leukocytes activated with bacterial lipopolysaccharide and calcium ionophore A23187, and biosynthesis was blocked by inhibitors of 5-LOX or COX-2. HKD2 and HKE2 stimulated migration and tubulogenesis of microvascular endothelial cells, implicating a proangiogenic role of the hemiketals in inflammatory sites that involve expression of 5-LOX and COX-2. Identification of the highly oxygenated hemiketal eicosanoids provides evidence for a previously unrecognized biosynthetic cross-over of the 5-LOX and COX-2 pathways.
Matrix stiffness and confinement influence YAP localization in clustered epithelial cells

Epithelial cell clusters reside in complex extracellular matrices (ECMs) of varying mechanical properties including stiffness, topography, dimensionality, and confinement. Through mechanotransduction, cells sense and translate the mechanical cues presented by the surrounding ECM into biochemical signals, which control fundamental aspects of cell behavior including differentiation, proliferation, and motility. While it is well established that nuclear translocation of Yes-associated-protein (YAP) in single cells serves as a key sensor of ECM stiffness, it remains unknown whether grouped epithelial cells exhibit a similar nuclear YAP localization response on stiff substrates. Moreover, the regulation of YAP activity in clustered cells in confined microenvironments has remained unexplored. In this study, we cultured epithelial cell monolayers on flat polyacrylamide (PA) gels of varying stiffness and measured nuclear and cytoplasmic localization of YAP. We found that nuclear YAP localization in grouped cells increased on stiffer gels. However, this stiffness-dependent nuclear localization of YAP was not as effective in densely packed monolayers. To understand how ECM stiffness and confinement independently influence YAP activity, we fabricated a PA-microchannels platform and cultured epithelial cell clusters in channels of tunable width and stiffness. Our measurements demonstrate that the likelihood of nuclear YAP localization increases in cell clusters confined within narrower channels. In wide channels, cells neighboring the channel walls exhibit less roundedness and more nuclear YAP compared to those in the interior of the channels. Taken together, these findings reveal that the mechanosensitive nuclear localization of YAP in clustered cells depends not only on ECM stiffness, but also on the cell density and the degree of matrix confinement.
Re-conceiving ability in physical education: a social analysis

In this paper we explore how ‘ability’ is currently conceptualised in physical education and with what effects for different groups of young people. We interrogate approaches to theorising ability in physical education that draw on sociological and phenomenological ‘foundations’ together with notions of ability as ‘physical’ and ‘cultural capital’ drawn from the work of Bourdieu. We also look to data we and others have collected across a number of empirical projects to ask: where do we find talk about what we might identify as ‘ability’ in the context of physical education and sport; how is it talked about? And in what ways might this further our thinking of the meaning of ‘ability’ in physical education and school based sport? Our findings suggest that physical ability is far from a neutral concept and that how it is understood has important consequences for young people in relation to gender, race and social class. We argue that ongoing discussions around what we mean by ability, how we use it, and in relation to whom, are crucial in physical education where organised sport, recreation and exercise remain privileged over other constituents of physical culture.
Deploying Internet Protocol Security in satellite networks using Transmission Control Protocol Performance Enhancing Proxies

Applications that use the reliable Transmission Control Protocol (TCP) have a significant degradation over satellite links. This degradation is mainly a consequence of the congestion control algorithm used by standard TCP, which is not suitable for overcoming the impairments of satellite networks. To alleviate this problem, two TCP Performance Enhancing Proxies (PEPs) can be deployed at the edges of the satellite segment. Then these PEPs can use different mechanisms such as snooping, spoofing and splitting to achieve a better TCP performance. In general, these mechanisms require the manipulation of the Internet Protocol (IP) and TCP headers that generates a problem when deploying the standard IP security (IPsec) protocol. The security services that IPsec offers (encryption and/or authentication) are based on the cryptographic protection of IP datagrams, including the corresponding IP and TCP headers. As a consequence, these cryptographic protections of IPsec conflict with the mechanisms that PEPs use to enhance the TCP performance in the satellite link. In this article, we detail the reasons that cause this conflict, and we propose three different approaches to deploy IPsec in a scenario with TCP PEPs. Our proposals provide different trade‐offs between security and TCP performance in some typical scenarios that use satellite networks. Copyright © 2012 John Wiley & Sons, Ltd.
An Examination of Management and Governance Issues Arising in Residential Golf Complexes

Abstract This study provides an examination of governance issues arising in residential golf communities. Drawing on qualitative data collected from thirteen interviews with Queensland-based developer representatives and body corporate managers experienced in MTGDs, it has been found that there is a legislative trend towards accommodation owners experiencing diminished levels of influence on golf course management and operations. All interviewees felt this to be the most appropriate model for future MTGDs. It is nevertheless noted that this development signifies a degree of neighbourhood disenfranchisement for residential owners and that a poorly managed golf course can negatively influence residential property values and political harmony in an MTGD.
Multiple Class Multiple-Instance Learning and its Application to Image Categorization

We propose a Multiple Class Multiple-Instance (MCMI) learning approach and demonstrate its application to the problem of image categorization. Our method extends the binary Multiple-Instance learning approach for image categorization. Instead of constructing a set of binary classifiers (each trained to separate one category from the rest) and then making the final decision based on the winner of all the binary classifiers, our method directly allows the computation of a multi-class classifier by first projecting each training image onto a multi-class feature space and then simultaneously minimizing the multi-class objective function in a Support Vector Machine framework. The multi-class feature space is constructed based on the instance prototypes obtained by Multiple-Instance learning which treats an image as a set of instances with training labels being associated with images rather than instances. The experiment results on two challenging data sets demonstrate that our method achieved better classification accuracy and is less sensitive to the training sample size compared with traditional one-versus-the-rest binary MI classification methods.
Systematic Assessment of Analytical Methods for Drug Sensitivity Prediction from Cancer Cell Line Data

Large-scale pharmacogenomic screens of cancer cell lines have emerged as an attractive pre-clinical system for identifying tumor genetic subtypes with selective sensitivity to targeted therapeutic strategies. Application of modern machine learning approaches to pharmacogenomic datasets have demonstrated the ability to infer genomic predictors of compound sensitivity. Such modeling approaches entail many analytical design choices; however, a systematic study evaluating the relative performance attributable to each design choice is not yet available. In this work, we evaluated over 110,000 different models, based on a multifactorial experimental design testing systematic combinations of modeling factors within several categories of modeling choices, including: type of algorithm, type of molecular feature data, compound being predicted, method of summarizing compound sensitivity values, and whether predictions are based on discretized or continuous response values. Our results suggest that model input data (type of molecular features and choice of compound) are the primary factors explaining model performance, followed by choice of algorithm. Our results also provide a statistically principled set of recommended modeling guidelines, including: using elastic net or ridge regression with input features from all genomic profiling platforms, most importantly, gene expression features, to predict continuous-valued sensitivity scores summarized using the area under the dose response curve, with pathway targeted compounds most likely to yield the most accurate predictors. In addition, our study provides a publicly available resource of all modeling results, an open source code base, and experimental design for researchers throughout the community to build on our results and assess novel methodologies or applications in related predictive modeling problems.
A Novel Mechanism of Carbohydrate Recognition by the C-type Lectins DC-SIGN and DC-SIGNR

DC-SIGN and DC-SIGNR are cell-surface receptors that mediate cell-cell interactions within the immune system by binding to intercellular adhesion molecule-3. The receptor polypeptides share 77% amino acid sequence identity and are type II transmembrane proteins. The extracellular domain of each comprises seven 23-residue tandem repeats and a C-terminal C-type carbohydrate-recognition domain (CRD). Cross-linking, equilibrium ultracentrifugation, and circular dichroism studies of soluble recombinant fragments of DC-SIGN and DC-SIGNR have been used to show that the extracellular domain of each receptor is a tetramer stabilized by an α-helical stalk. Both DC-SIGN and DC-SIGNR bind ligands bearing mannose and related sugars through the CRDs. The CRDs of DC-SIGN and DC-SIGNR bind Man9GlcNAc2 oligosaccharide 130- and 17-fold more tightly than mannose, and affinity for a glycopeptide bearing two such oligosaccharides is increased by a further factor of 5- to 25-fold. These results indicate that the CRDs contain extended or secondary oligosaccharide binding sites that accommodate mammalian-type glycan structures. When the CRDs are clustered in the tetrameric extracellular domain, their arrangement provides a means of amplifying specificity for multiple glycans on host molecules targeted by DC-SIGN and DC-SIGNR. Binding to clustered oligosaccharides may also explain the interaction of these receptors with the gp120 envelope protein of human immunodeficiency virus-1, which contributes to virus infection.