Miracle-dz/UniFAR-FTUs huggingface dataset:
Fate of mat1 DNA strands during mating‐type switching in fission yeast

The mating‐type switching of the fission yeast, Schizosaccharomyces pombe, is highly regulated. Two consecutive asymmetric divisions are required to produce one mating‐type switched cell among the four progeny. Using DNA density‐gradient centrifugation we demonstrate that one‐fourth of the mat1 DNA is not replicated by the conventional semi‐conservative mode, but instead both DNA strands are synthesized de novo. Our data are consistent with a gene conversion event, initiated by a site‐ and strand‐specific DNA break (SSB). We further demonstrate that the virgin switched mat1‐containing chromatid no longer contained the nick, while it is reintroduced during the lagging strand synthesis of the mat1 locus on the sister chromatid. This finding establishes at the molecular level a firm experimental link between the phenotype and genotype in the process of asymmetric mating‐type switching during mitotic divisions.
The investigation of acquisition of the UWB signals based on BP neural network

Acquisition of the signals is a key technology in the UWB system. A new method based on BP neural networks is proposed here to implement the fast acquisition of UWB signals with the condition of low SNR. The BP neural network is used to match the extreme short pulse in this study. It could improve the performance of the acquisition efficiently. In this paper, the feasibility and efficiency of the new method are discussed. The influence of the SNR in UWB system is analyzed. The simulation results highly indicate the usefulness of the method pointed out in this study.
Clinical features and treatment of adenovirus infections

Adenoviruses (Ads) are common opportunistic pathogens that are rarely associated with severe clinical symptoms in healthy individuals. In contrast, in patients with compromised immunity, Ad infections often result in disseminated and potentially life‐threatening disease. Among these are AIDS patients, individuals with hereditary immunodeficiencies and recipients of solid organ or haematopoietic stem cell transplants (HSCT) who receive immunosuppressive therapy. The latter account for the largest number of severe Ad infections. There is currently no formally approved antiviral therapy for the treatment of severe Ad keratoconjunctivitis and life‐threatening Ad infections in immunocompromised patients. Here we update current knowledge on Ad biology, the clinical features observed in different patient groups and specific immune responses towards Ad infections. In addition, we review current and future treatment options, including: (i) the antiviral drugs cidofovir, ribavirin and new investigational compounds, as evaluated in the clinic or in relevant animal models, as well as (ii) novel immunotherapeutic strategies. Copyright © 2008 John Wiley & Sons, Ltd.
Analysis of Software Reliability Growth Models for Quantitative Evaluation of Software Reliability and Goodness of Fitness Metrics

Till now there have been many Software Reliability models developed for assessing the reliability of software product. Most of these are based upon past failure data gathered during the testing phase. These models have been utilized to evaluate the quality of the software and for future predication of reliability. They have been used in many critical management decision making problems that occur during the testing phase. But none of these models can claim to be the best and hence there is a need for further research. In this paper different modeling approaches are briefly studied and we present procedures to estimate the parameters of SRGMs and a critical analysis of Goodness of Fit using some existing Software Reliability Growth Models. On the basis of our observations we recommend the methodologies for estimating parameters of SGRM and the various metrics used for comparison of Goodness of Fit and predictive validity.
The structure of depression, anxiety and somatic symptoms in primary care

Background Observed co-morbidity among the mood and anxiety disorders has led to the development of increasingly sophisticated dimensional models to represent the common and unique features of these disorders. Patients often present to primary care settings with a complex mixture of anxiety, depression and somatic symptoms. However, relatively little is known about how somatic symptoms fit into existing dimensional models. Method We examined the structure of 91 anxiety, depression and somatic symptoms in a sample of 5433 primary care patients drawn from 14 countries. One-, two- and three-factor lower-order models were considered; higher-order and hierarchical variants were studied for the best-fitting lower-order model. Results A hierarchical, bifactor model with all symptoms loading simultaneously on a general factor, along with one of three specific anxiety, depression and somatic factors, was the best-fitting model. The general factor accounted for the bulk of symptom variance and was associated with psychosocial dysfunction. Specific depression and somatic symptom factors accounted for meaningful incremental variance in diagnosis and dysfunction, whereas anxiety variance was associated primarily with the general factor. Conclusions The results (a) are consistent with previous studies showing the presence and importance of a broad internalizing or distress factor linking diverse emotional disorders, and (b) extend the bounds of internalizing to include somatic complaints with non-physical etiologies.
Autonomous navigation of non-cooperative target based on multiple line-of-sight

For the autonomous relative navigation of the distant non-cooperation target in high orbit, this paper proposed a relative navigation method based on the multiple line-of-sights. This method establishes the dynamic model of the satellite under the inertial system. Compared with the method of modeling with the relative kinetic, the method in this paper avoids the need to obtain the parameters of the chief satellite orbit in real time which is very difficult for high orbit satellite. Although the absolute navigation results obtained by this method may diverge, the relative navigation results converge well. The coordinate transformation method is used to reduce the non-linear effect of observation equations and improves the navigation accuracy. Simulation results indicate that this method is stable and effective.
Parents' roles in decision making for children with cancer in the first year of cancer treatment.

PURPOSE To evaluate the extent to which parents of children with cancer are involved in decision making in the ways they prefer during the first year of treatment. METHODS We conducted a cross-sectional survey of 194 parents of children with cancer (response rate, 70%) in their first year of cancer treatment at the Dana-Farber Cancer Institute and Children's Hospital (Boston, MA) and the children's physicians. We measured parents' preferred and actual roles in decision making and physician perceptions of parents' preferred roles. RESULTS Most parents (127 of 192; 66%) wanted to share responsibility for decision making with their children's physician. Although most parents (122 of 192; 64%) reported that they had their preferred role in decision making, those who did not tended to have more passive roles than they wished (47 of 70; 67%; P < .001). Parents were no more likely to hold their ideal roles in decision making when the physician accurately identified the parents' preferred role (odds ratio [OR], 1.04; P = .92). Parents were less likely to hold more passive roles than they wished in decision making when they felt that physician communication (OR, 0.39; P = .04) and information received (OR, 0.45; P = .04) had been of high quality. Parents who held more passive roles than they wished in decision making were less likely to trust their physicians' judgments (OR, 0.46; P = .03). CONCLUSION Most parents of children in their first year of cancer treatment participate in decision making to the extent that they wish; although, nearly one fourth hold more passive roles than desired. High-quality physician communication is associated with attainment of one's preferred role.
An Extended Privacy Calculus Model for SNSs: Analyzing Self-Disclosure and Self-Withdrawal in a Representative U.S. Sample

The privacy calculus established that online self-disclosures are based on a cost-benefit tradeoff. For the context of SNSs, however, the privacy calculus still needs further support as most studies consist of small student samples and analyze self-disclosure only, excluding self-withdrawal e.g., the deletion of posts, which is essential in SNS contexts. Thus, this study used a U.S. representative sample to test the privacy calculus' generalizability and extend its theoretical framework by including both self-withdrawal behaviors and privacy self-efficacy. Results confirmed the extended privacy calculus model. Moreover, both privacy concerns and privacy self-efficacy positively predicted use of self-withdrawal. With regard to predicting self-disclosure in SNSs, benefits outweighed privacy concerns; regarding self-withdrawal, privacy concerns outweighed both privacy self-efficacy and benefits.
COMPARATIVE ANALYSIS OF IMAGE COMPRESSION USING WAVELET TRANSFORM.

: Image authentication techniques have recently gained great attention due to its application in a large number of multimedia applications. Digital images are increasingly transmitted over non-secure channels such as the Internet. The recent growth of data intensive multimedia-based web applications has not only sustained the need for more efficient ways to encode signals and images but have made compression of such signals central to storage and communication technology. Data compression which can be lossy or lossless is required to decrease the storage requirement and better data transfer rate. One of the best image compression techniques is using wavelet transform. It is a new technique and has many advantages over other techniques. Wavelet transform uses a large variety of wavelets for decomposition of images. The state of the art coding techniques like EZW, SPIHT (set partitioning in hierarchical trees) and EBCOT(embedded block coding with optimized truncation) use the wavelet transform as basic and common step for their own further technical advantages. The wavelet transform results therefore have the importance which is dependent on the type of wavelet used. In our project, we have used HAAR wavelets to perform the transform of different test image and the results have been discussed and analyzed. The analysis has been compared based on accuracy, memory requirements and time complexity.
Akt2 ablation prolongs life span and improves myocardial contractile function with adaptive cardiac remodeling: role of Sirt1‐mediated autophagy regulation

Aging is accompanied with unfavorable geometric and functional changes in the heart involving dysregulation of Akt and autophagy. This study examined the impact of Akt2 ablation on life span and cardiac aging as well as the mechanisms involved with a focus on autophagy and mitochondrial integrity. Cardiac geometry, contractile, and intracellular Ca2+ properties were evaluated using echocardiography, IonOptix® edge‐detection and fura‐2 techniques. Levels of Sirt1, mitochondrial integrity, autophagy, and mitophagy markers were evaluated using Western blot. Our results revealed that Akt2 ablation prolonged life span (by 9.1%) and alleviated aging (24 months)‐induced unfavorable changes in myocardial function and intracellular Ca2+ handling (SERCA2a oxidation) albeit with more pronounced cardiac hypertrophy (58.1%, 47.8%, and 14.5% rises in heart weight, wall thickness, and cardiomyocyte cross‐sectional area). Aging downregulated levels of Sirt1, increased phosphorylation of Akt, and the nuclear transcriptional factor Foxo1, as well as facilitated acetylation of Foxo1, the effects of which (except Sirt1 and Foxo1 acetylation) were significantly attenuated or negated by Akt2 ablation. Advanced aging disturbed autophagy, mitophagy, and mitochondrial integrity as evidenced by increased p62, decreased levels of beclin‐1, Atg7, LC3B, BNIP3, PTEN‐induced putative kinase 1 (PINK1), Parkin, UCP‐2, PGC‐1α, and aconitase activity, the effects of which were reversed by Akt2 ablation. Aging‐induced cardiomyocyte contractile dysfunction and loss of mitophagy were improved by rapamycin and the Sirt1 activator SRT1720. Activation of Akt using insulin or Parkin deficiency prevented SRT1720‐induced beneficial effects against aging. In conclusion, our data indicate that Akt2 ablation protects against cardiac aging through restored Foxo1‐related autophagy and mitochondrial integrity.
Identification des paramètres modaux de systèmes mécaniques non stationnaires : application à un robot flexible de meulage

Cette these fait partie d’un projet de recherche lance par l’ETS et Hydro-Quebec sur la dynamique d’un robot portable flexible nomme SCOMPI permettant de reparer les turbines hydrauliques sur le site d’operation. L’objectif principal de ce projet de recherche est d’ameliorer la qualite du procede de meulage robotise de SCOMPI, qui est influencee surtout par le broutage et les vibrations pendant le procede. Pour y remedier, l’IREQ a mene des recherches sur le phenomene du broutage et la modelisation du procede. Leurs recherches montrent que le phenomene du broutage est dependant entre autres, des parametres modaux du robot. Du coup, identifier les parametres modaux du robot est primordial pour l’avancement de leur recherche. Le travail presente dans le cadre de cette these porte principalement sur l’identification des parametres modaux d’un robot flexible en operation, en se basant sur l’analyse modale operationnelle de systemes non stationnaires. Deux methodes d’identification sont etudiees dans cette these : le modele AFS-VTAR (Adaptable Functional Series Vector Time-dependent Autoregressive) et le modele SSIDATA a court terme (Data-Driven Stochastic Subspace Identification). Ce sont actuellement les principales methodes d’identification appliquees aux systemes mecaniques non stationnaires. L’inconvenient majeur de ces methodes est que les resultats identifies comprennent a la fois les parametres modaux recherches et d’autres parasites. En fait, le nombre de methodes pour discerner les parametres modaux de ceux parasites reste encore limite. L’originalite de cette these reside dans le developpement de deux nouveaux indices pour les methodes AFS-VTAR et SSI-DATA afin de discerner le vrai du faux. L’efficacite des indices proposes a ete validee a travers des signaux de simulations numeriques et des donnees experimentales issues de mesures sur un robot flexible en operation. Des recommandations pour des recherches futures sont proposees a la fin.
Genetic, Serological and Functional Analysis of I‐J Molecules

I-J determinants, defined by antibodies produced in intra-I region recombinant strains of mice, have been important markers in the analysis of immunoregulatory pathways. Study of these determinants has not only advanced our understanding of T cell subsets involved in the generation of suppressor, contrasuppressor, and helper amplifier activity, but has facilitated analysis of T cell-derived soluble mediators (factors) involved in cellular interaction and regulation. The observation that I-J molecules associated with suppressor factors determine the restricted functional activity of the factors provides evidence that I-J molecules are involved in information trafiBcking amongst immunoregulatory T cell subsets. In addition, the observation that some cellular interactions are I-J-restricted provides evidence that I-J molecules are important self structures recognized by interacting T lymphocytes. At present, the genetic basis for control of I-J determinants is unknown. Although it is clear that polymorphism in I-J molecules is controlled by genes mapping in the I region of the H-2 gene complex, molecular genetic studies provide evidence that I-J molecules are not encoded by I region genes. Formal proof of the latter must await isolation and characterization of I-J structural genes. However, these observations are compatible with the concept that I-J molecules are encoded by non-H-2 genes, but the expression of these non-H-2 genes is influenced by I region genes, eg, I-J molecules may be T cell receptors which recognize self Class II molecules and/or T cell receptors which recognize (or are recognized by) these self receptors. In the text which follows, our study of I-J determinants is summarized. Studies by other investigators are reviewed elsewhere in this volume. In the first part of
Analysis of Power Quality Disturbances Using Wavelet and S-Transformation Techniques

Power quality issues have been a source of major concern in recent years due to extensive use of power electronic devices and non-linear loads in electrical power system and consequently sensitive detection and accurate classification of power disturbances have become very much necessary. To monitor various power quality problems different analysis techniques are available like Fourier transform, short-time Fourier transform, and wavelet transform. Every analysis technique has its own advantage and disadvantage. To overcome disadvantages a new method S-Transform has been proposed in this project work for detection and classification of power quality disturbance signals. S-transform provides frequency dependent resolution that simultaneously localizes the real and imaginary spectra. The S-Transform is similar to wavelet transform but with a phase correction. This property is used to obtain useful features of the non-stationary signals that make the pattern recognition much simpler in comparison to the wavelet analysis. Features obtained from S-transform are distinct and understandable. According to rule based decision tree, five disturbance and two complex power disturbances are well recognized and classified. Various power quality disturbances are obtained by experimental work and they are analyzed by S-Transform analysis. Degree of sag and swell for power quality problems like sag, swell also calculated by using S-Transform respectively.
Optical character recognition feature implementation in cooking recipe application using tesseract Google project

Development of cooking recipe application is not a new topic in this time, many available cooking recipe mobile application that serve in the developer application store that available for user to use it as their cooking assistant. But as the author review about the related work, the available cooking recipe application only serves the user the common features, like: show the list of recipes; search the recipe by the ingredient or by the title of the recipe. In this research the author intent to combine cooking mobile application technology with Optical Character Recognition technology by Implementing OCR feature in the cooking application as the additional feature that can be used in searching recipe(s) by using their camera to capture a new image or by simply choose the existing image. The development of the application is using tesseract Google project as the library for supporting the development of this application, and in the end of the research, the author will conclude whether text recognition feature that implemented in cooking recipes application could help the user in searching recipe or not.
Intraductal papillary-mucinous tumors: an entity which is infrequent and difficult to diagnose.

BACKGROUND/AIMS Intraductal papillary-mucinous tumor of the pancreas is currently considered to be a tumor which is an entity of its own, different from classic pancreatic ductal carcinoma. It is basically characterized by slow growth and low malignancy potential, as well as by the production of mucin. The aim of this study is to contribute to world literature some clarification of its natural history, clinical presentation, the most useful diagnostic tests, methods of detection of stromal invasion and handling of treatment. METHODOLOGY Of 297 pancreatectomies undertaken at the "12 de Octubre" hospital between May 1985 and January 1998, only 1 case of Intraductal papillary-mucinous tumor was found. We have revised 127 cases published in 10 series over the last 10 years. We also contribute a review of our own case. RESULTS These tumors, which are very infrequent, produce non-specific symptoms, with long latency periods from the first symptom up to stromal invasion. Endoscopic retrograde cholangiopancreatography showed alterations in 100% of cases where this was undertaken. Tumor-related mortality was zero amongst patients with non-invasive tumor who underwent surgery. None of the cases published presented upper gastrointestinal hemorrhage. This indicated the correct surgery and led us to our diagnosis. CONCLUSIONS We confirm the low frequency and difficulty of diagnosis, the sensitivity of endoscopic retrograde cholangiopancreatography, the difficulty of early detection of stromal invasion, and the high survival rate in cases where resection is done before this occurs. Early diagnosis and treatment is therefore of utmost importance.
Prognostic value of B-type natriuretic peptide for assessment of left ventricular function in patients with chronic kidney disease.

INTRODUCTION Since the level of B-type natriuretic peptide (BNP) increases in heart failure, elevated plasma BNP concentration is used as a predictor in the diagnosis and management of heart failure. Due to the diminished renal clearance of BNP, its level is above normal in kidney failure. This study evaluated the BNP prognostic value for assessing ventricular function in patients with chronic kidney disease. MATERIALS AND METHODS All the participants were diagnosed with chronic kidney disease. Echocardiography was employed to assess ejection fraction. Body mass index, serum creatinine, and BNP were measured for all the patients. Prognostic value of BNP was assessed for ventricular function measured by ejection fraction. RESULTS Forty-four patients, including 34 men and 10 women, participated in the study. Level of BNP had a significant correlation with body mass index, ejection fraction, age, and gender. The sensitivity and specificity of BNP levels of 150 pg/mL and 705 pg/mL were 93.3% and 28.6% and 50.0% and 85.7%, respectively, for the diagnosis of ventricular dysfunction in the patients with chronic kidney disease. CONCLUSIONS These findings suggest that a level of BNP of 705 pg/mL is a rather acceptable predictive factor for heart failure in patients with chronic kidney disease. The participants' height and weight, which were associated with BNP as body mass index, contributed to this level.