Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction of Reference Chromosome-Scale Pseudomolecules for Potato: Integrating the Potato Genome with Genetic and Physical Maps

The genome of potato, a major global food crop, was recently sequenced. The work presented here details the integration of the potato reference genome (DM) with a new sequence-tagged site marker−based linkage map and other physical and genetic maps of potato and the closely related species tomato. Primary anchoring of the DM genome assembly was accomplished by the use of a diploid segregating population, which was genotyped with several types of molecular genetic markers to construct a new ~936 cM linkage map comprising 2469 marker loci. In silico anchoring approaches used genetic and physical maps from the diploid potato genotype RH89-039-16 (RH) and tomato. This combined approach has allowed 951 superscaffolds to be ordered into pseudomolecules corresponding to the 12 potato chromosomes. These pseudomolecules represent 674 Mb (~93%) of the 723 Mb genome assembly and 37,482 (~96%) of the 39,031 predicted genes. The superscaffold order and orientation within the pseudomolecules are closely collinear with independently constructed high density linkage maps. Comparisons between marker distribution and physical location reveal regions of greater and lesser recombination, as well as regions exhibiting significant segregation distortion. The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal “pseudomolecules”.
Modeling Information Dependencies in Construction Project Network Organizations

This ongoing study intends to explore and formalize the information dependency patterns in network forms of organizations in construction project management. In construction projects, information is critical for seamless and cost-effective operations. Communication of project information and coordination of information exchanges between different project participants are essential for a project's success. On the other hand, a better understanding of information dependencies between participants is of utmost importance for strategic choices on information technology (IT) applications since decisions on IT investments greatly influence the effectiveness of not only internal communications within a project team, but also the interactions of the project team with other project-related organizations. In this paper, we provide a case study to highlight the characteristics of information exchanges and dependencies in construction project organizations. We introduce approaches that are well-accepted by organization theorists in analyzing network organizations and assess their strengths and limitations in modeling information dependencies in construction projects. We focus specifically on dependency structure matrix, social network analysis and computational organization theory since these methodologies have been applied to construction project organizations. These methods, alone, have limitations in supporting decisions on investments regarding IT applications. We conclude with a research roadmap that highlights the research needs for modeling information dependencies within construction project organizations to enable effective IT investments.
The Many Faces of Dissociation: Opportunities for Innovative Research in Psychiatry

It has been claimed that the progress of psychiatry has lagged behind that of other medical disciplines over the last few decades. This may suggest the need for innovative thinking and research in psychiatry, which should consider neglected areas as topics of interest in light of the potential progress which might be made in this regard. This review is concerned with one such field of psychiatry: dissociation and dissociative disorders. Dissociation is the ultimate form of human response to chronic developmental stress, because patients with dissociative disorders report the highest frequency of childhood abuse and/or neglect among all psychiatric disorders. The cardinal feature of dissociation is a disruption in one or more mental functions. Dissociative amnesia, depersonalization, derealization, identity confusion, and identity alterations are core phenomena of dissociative psychopathology which constitute a single dimension characterized by a spectrum of severity. While dissociative identity disorder (DID) is the most pervasive condition of all dissociative disorders, partial representations of this spectrum may be diagnosed as dissociative amnesia (with or without fugue), depersonalization disorder, and other specified dissociative disorders such as subthreshold DID, dissociative trance disorder, acute dissociative disorders, and identity disturbances due to exposure to oppression. In addition to constituting disorders in their own right, dissociation may accompany almost every psychiatric disorder and operate as a confounding factor in general psychiatry, including neurobiological and psycho-pharmacological research. While an anti- dissociative drug does not yet exist, appropriate psychotherapy leads to considerable improvement for many patients with dissociative disorders.
Filtering Sources of Unwanted Traffic Based on Blacklists

There is a large and increasing amount of unwanted traffic on the Internet today, including phishing, spam, and distributed denial-of-service attacks. One way to deal with this problem is to filter unwanted traffic at the routers based on source IP addresses. Because of the limited number of available filters in the routers today, aggregation is used in practice: a single filter describes and blocks an entire range of IP addresses. This results in blocking of all (unwanted and wanted) traffic generated from hosts with IP addresses in that range. In this paper, we develop a family of algorithms that, given a blacklist containing the source IP addresses of unwanted traffic and a constraint on the number of filters, they construct a set of filtering rules that optimize the tradeoff between the unwanted and legitimate traffic that is blocked. We show that our algorithms are optimal and also computationally efficient. Furthermore, we demonstrate that they are particularly beneficial when applied to realistic distributions of sources of unwanted traffic, which are known to exhibit spatial and temporal clustering.
A Study On Feasibility And Effectiveness Of ICT Integration In Higher Education In Developing Countries With Special Reference To India

— Information and communication technology refers to various forms of information and various means of communication used to share information. In present scenario, life cannot be imagined without ICT. Every aspect of life and society is driven by ICT in one or the other way. Education is no exception in this regard. Traditionally, Education refers to a learning process where knowledge is shared among two entities namely, teacher and student. In today’s technological environment it is not simply give and take, but ICT has changed the entire scene. Education has been enriched by different means of ICT. The present paper is based on non experimental survey and study on use of ICT in higher education in India. The author tried to explore the ICT usage in education by faculty members of an engineering college. This study will eventually help to understand the feasibility and effectiveness of ICT usage to impart knowledge in such colleges where students come from both urban and rural areas of India. This study will help educators, researchers, and policymakers to establish more reasonable ICT integration practices so as to make education process keep pace with the technological development.
Energy consumption ( J / MB ) in 802 . 11 networks

The paper derives formulas for the energy J(n) that a station’s radio consumes in order to transmit 1 MB of data in an IEEE 802.11 network with n stations. Calculations show thatJ(n) grows approximately linearly with n, for n ≥ 4. The useful energy consumed in successful transmission and reception of data is constant; the remaining energy is wasted. Whenn = 15, the waste amounts to 80 percent of total energy, and this proportion grows with n. More than 60 percent of the waste is due to overhearing, i.e. reception of packets intended for another station. Overhearing can be eliminated by using information in RTS/CTS packets.
Development of Composite PCMs by Incorporation of Paraffin into Various Building Materials

In this research, we focused on the development of composite phase-change materials (CPCMs) by incorporation of a paraffin through vacuum impregnation in widely used building materials (Kaolin and ground granulated blast-furnace slag (GGBS)). The composite PCMs were characterized using environmental scanning electron microscopy (ESEM), Fourier transform infrared spectroscopy (FT-IR), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) techniques. Moreover, thermal performance of cement paste composite PCM panels was evaluated using a self-designed heating system. Test results showed that the maximum percentage of paraffin retained by Kaolin and GGBS was found to be 18% and 9%, respectively. FT-IR results show that CPCMs are chemically compatible. The phase-change temperatures of CPCMs were in the human comfort zone, and they possessed considerable latent-heat storage capacity. TGA results showed that CPCMs are thermally stable, and they did not show any sign of degradation below 150 °C. From thermal cycling tests, it was revealed that the CPCMs are thermally reliable. Thermal performance tests showed that in comparison to the control room model, the room models prepared with CPCMs reduced both the temperature fluctuations and maximum indoor center temperature. Therefore, the prepared CPCMs have some potential in reducing peak loads in buildings when applied to building facade.
Kindergarten Risk Factors, Cognitive Factors, and Teacher Judgments as Predictors of Early Reading in Dutch

This study focused on the predictive value of risk factors, cognitive factors, and teachers' judgments in a sample of 462 kindergartners for their early reading skills and reading failure at the beginning of Grade 1. With respect to risk factors, enrollment in speech—language therapy, history of dyslexia or speech—language problems in the family, and the role of gender were considered. None of these risk factors were significantly related to reading performance. Cognitive factors in this study included letter knowledge, rapid naming ability, and nonword repetition skills. Of these skills, letter knowledge seemed to have the highest correlation with reading. Kindergarten teachers' judgments, including a task assignment scale and teachers' predictions, demonstrated a significant relationship with reading. Finally, to judge whether these predictors could identify reading disabilities, the discriminatory power of all predictors was assessed and appeared to be insufficient. Implications for screening purposes are discussed.
Motor learning in children with an autism spectrum disorder

In addition to social communication difficulties, individuals with an autism spectrum disorder (ASD) frequently experience problems in other domains such as motor control and learning. The goal of the current study was to better understand ASD-related differences in motor learning. We isolated and examined the ballistic and corrective submovements associated with learning of a rapid aimed limb movement in a sample of children with ASD and a matched comparison group of typically developing children without ASD. The overall rate of motor learning did not differ significantly between groups. Analysis of movement subcomponents, however, revealed significant group differences. These findings support the hypothesis that, while motor learning per se is not impaired in ASD, individuals with ASD utilized different strategies in motor learning.
Distinct HDACs regulate the transcriptional response of human cyclin-dependent kinase inhibitor genes to trichostatin A and 1α,25-dihydroxyvitamin D3

The anti-proliferative effects of histone deacetylase (HDAC) inhibitors and 1α,25-dihydroxyvitamin D3 [1α,25(OH)2D3] converge via the interaction of un-liganded vitamin D receptor (VDR) with co-repressors recruiting multiprotein complexes containing HDACs and via the induction of cyclin-dependent kinase inhibitor (CDKI) genes of the INK4 and Cip/Kip family. We investigated the effects of the HDAC inhibitor Trichostatin A (TSA) and 1α,25(OH)2D3 on the proliferation and CDKI gene expression in malignant and non-malignant mammary epithelial cell lines. TSA induced the INK4-family genes p18 and p19, whereas the Cip/Kip family gene p21 was stimulated by 1α,25(OH)2D3. Chromatin immunoprecipitation and RNA inhibition assays showed that the co-repressor NCoR1 and some HDAC family members complexed un-liganded VDR and repressed the basal level of CDKI genes, but their role in regulating CDKI gene expression by TSA and 1α,25(OH)2D3 were contrary. HDAC3 and HDAC7 attenuated 1α,25(OH)2D3-dependent induction of the p21 gene, for which NCoR1 is essential. In contrast, TSA-mediated induction of the p18 gene was dependent on HDAC3 and HDAC4, but was opposed by NCoR1 and un-liganded VDR. This suggests that the attenuation of the response to TSA by NCoR1 or that to 1α,25(OH)2D3 by HDACs can be overcome by their combined application achieving maximal induction of anti-proliferative target genes.
Investigating the Effect of Credit Ratings on the Pecking Order Theory of the Capital Structure: Empirical Evidence from the UK Market

The aim of this paper is to empirically investigate one of the most influential theories of capital structure; the pecking order theory in the UK market during the period 1999-2005. Furthermore, the paper examines the effect of credit ratings on capital structure decision making. The study employs and extends the approaches used by Shyam-Sunder and Myers (1999) and Frank and Goyal (2003) to investigate the pecking order theory. The results of this paper support the pecking order theory, that is in line with Shyam-Sunder and Myers (1999). Moreover, the results indicate that credit-rated firms are more likely to finance their deficits using equity rather than debt, due to the fact that credit rated firms target credit ratings and take into consideration the disadvantageous effects that the issuing of new debt is likely to have on their credit ratings.
Polarization Evolution of the GRB 020405 Afterglow

Polarization measurements for the optical counterpart to GRB 020405 are presented and discussed. Our observations were performed with the VLT-UT3 (Melipal) during the second and third night after the gamma-ray burst discovery. The polarization degree (and the position angle) appears to be constant between our two observations at a level around (1.5 - 2)%. The polarization can be intrinsic but it is not possible to unambiguously exclude that a substantial fraction of it is induced by dust in the host galaxy.
Design based Object-Oriented Metrics to Measure Coupling and Cohesion

The object oriented design and object oriented development environment are currently popular in software organizations due to the object oriented programming languages. As the object oriented technology enters into software organizations, it has created new challenges for the companies which used only product metrics as a tool for monitoring, controlling and maintaining the software product. This paper presents the new object oriented metrics namely for coupling of class by counting the number of associated classes within a class & total associated class and cohesion at the method and function level for cohesion to estimates object oriented software. In order to this, we discuss in this paper object oriented issues and measures with analysis of object oriented metrics through coupling and cohesion to check the complexity with weight count method. We also discuses the estimation process after analysis of proposed object oriented metrics to measures and check the better performance of object oriented metrics in comparison to other object oriented metrics.
A Transdisciplinary Approach to Construct Search and Integration

Human behaviors play a leading role in many critical areas including the adoption of information systems, prevention of many diseases, and educational achievement. There has been explosive growth of research in the behavioral sciences during the past decade. Behavioral science researchers are now recognizing that due to this ever expanding volume of research it is impossible to find and incorporate all appropriate inter-related disciplinary knowledge. Unfortunately, due to inconsistent language and construct proliferation across disciplines, this excellent but disconnected research has not been utilized fully or effectively to address problems of human health or other areas. This paper introduces a newly developed, cutting edge technology, the Inter-Nomological Network (INN) which for the first time provides an integrating tool to behavioral scientists so they may effectively build upon prior research. We expect INN to provide the first step in moving the behavioral sciences into an era of integrated science. INN is based on Latent Semantic Analysis (LSA), a theory of language use with associated automatic computerized text analysis capabilities.
Information Preservation and Weather Forecasting for Black Holes

It has been suggested [1] that the resolution of the information paradox for evaporating black holes is that the holes are surrounded by firewalls, bolts of outgoing radiation that would destroy any infalling observer. Such firewalls would break the CPT invariance of quantum gravity and seem to be ruled out on other grounds. A different resolution of the paradox is proposed, namely that gravitational collapse produces apparent horizons but no event horizons behind which information is lost. This proposal is supported by ADS-CFT and is the only resolution of the paradox compatible with CPT. The collapse to form a black hole will in general be chaotic and the dual CFT on the boundary of ADS will be turbulent. Thus, like weather forecasting on Earth, information will effectively be lost, although there would be no loss of unitarity.
Guidelines for the Fitting of Anomalous Diffusion Mean Square Displacement Graphs from Single Particle Tracking Experiments

Single particle tracking is an essential tool in the study of complex systems and biophysics and it is commonly analyzed by the time-averaged mean square displacement (MSD) of the diffusive trajectories. However, past work has shown that MSDs are susceptible to significant errors and biases, preventing the comparison and assessment of experimental studies. Here, we attempt to extract practical guidelines for the estimation of anomalous time averaged MSDs through the simulation of multiple scenarios with fractional Brownian motion as a representative of a large class of fractional ergodic processes. We extract the precision and accuracy of the fitted MSD for various anomalous exponents and measurement errors with respect to measurement length and maximum time lags. Based on the calculated precision maps, we present guidelines to improve accuracy in single particle studies. Importantly, we find that in some experimental conditions, the time averaged MSD should not be used as an estimator.
Intraoperative Neurophysiologic Monitoring: Basic Principles and Recent Update

The recent developments of new devices and advances in anesthesiology have greatly improved the utility and accuracy of intraoperative neurophysiological monitoring (IOM). Herein, we review the basic principles of the electrophysiological methods employed under IOM in the operating room. These include motor evoked potentials, somatosensory evoked potentials, electroencephalography, electromyography, brainstem auditory evoked potentials, and visual evoked potentials. Most of these techniques have certain limitations and their utility is still being debated. In this review, we also discuss the optimal stimulation/recording method for each of these modalities during individual surgeries as well as the diverse criteria for alarm signs.
The Use of “Fresh” Unstented Homograft Valves for Replacement of the Aortic Valve: Analysis of 6½Years Experience

Between August 1969 and January 1976,561 patients underwent homograft replacement of the aortic valve (AVR). Isolated AVR was performed in 339 patients, ranging in age between 18 months and 74 years. The valves were sterilized in antibiotic solution and preserved at 4°C in tissue culture medium. There were 11 early deaths (3.2%) and 23 late deaths (6.8%). Actuarial analysis showed 88% survival at 5 years and 85% at 6 years. Valve failure occurred in 13 patients (3.8%) due to prolapse of one cusp in five patients (1.5%), infective endocarditis in three and degeneration of the graft in five (1.5%). Degenerative valve failure was encountered after the fourth year with an incidence of 3.5% of patients at risk, and occurred only in grafts from donors over the age of 70 years. Diastolic murmurs were present in 22% of patients followed up for more than one month and increased very slightly with time. The clinical result was judged to be good or excellent in approximately 90% of the surviving patients.
InvasivenessandDissemination of Human Prostate Cancer Cells via Regulation of a vand a 6-Integrin Expression

Altered microRNA (miRNA; miR) expression is associated with tumor formation and progression of various solid cancers. A major challenge in miRNA expression profiling of bulk tumors is represented by the heterogeneity of the subpopulations of cells that constitute the organ, as well as the tumor tissue. Here, we analyzed the expression of miRNAs in a subpopulation of epithelial stem/progenitor-like cells in human prostate cancer [prostate cancer stem cell (PCSC)] and compared their expression profile to more differentiated cancer cells. In both cell lines and clinical prostate cancer specimens, we identified that miR25 expression in PCSCs was low/absent and steadily increased during their differentiation into cells with a luminal epithelial phenotype. Functional studies revealed that overexpression of miR-25 in prostate cancer cell lines and selected subpopulation of highly metastatic and tumorigenic cells (ALDH) strongly affected the invasive cytoskeleton, causing reduced migration in vitro and metastasis via attenuation of extravasation in vivo. Here, we show, for the first time, that miR-25 can act as a tumor suppressor in highly metastatic PCSCs by direct functional interaction with the 30-untranslated regions of proinvasive avand a6-integrins. Taken together, our observations suggest that miR-25 is a key regulator of invasiveness in human prostate cancer through its direct interactions with avand a6-integrin expression. Cancer Res; 75(11); 2326–36. 2015 AACR.