Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Inﬂuence of Culture in the Present and Future of Multicultural Organizations: Comparing the Case of Spain and Latin America

: The present is bringing about signiﬁcant change in many aspects of our lives, and this impact has also reached project management. Working with multicultural and virtual teams makes it necessary to review how these teams are managed in order to achieve the expected success of a project. A survey has been designed based on the six cultural dimensions proposed by Hofstede. It was completed by engineering students from Spain and Latin American countries, and deﬁnes behaviors associated with each cultural dimension and was personalized for a university context, in which the participants were living. Apart from perceived behaviors, the survey also measures desired ones. Therefore, its analysis makes it possible to detect both the existing differences between students in the countries analyzed, as well as the differences between the current situation and the desired situation perceived by participants. The latter information is relevant for anticipating possible changes in the behavior of teams in multicultural organizations. The results lead us to reﬂect on the aspects that can help to strengthen teamwork and its management when dealing with multicultural projects, especially those involving professionals from Spain and Latin America.
Effect of treatment of gestational diabetes on obesity in the next generation

From the Obesity Prevention Program, Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA USA (MWG); the Australian Research Centre for the Health of Women and Babies, Discipline of Obstetrics and Gynaecology (HO, JSR, CAC), and the Discipline of Paediatrics and Public Health (PAB), University of Adelaide; and the Children, Youth, and Women’s Health Service (REV) and its Public Health Research Unit (PAB), Adelaide, South Australia
Genome Sequence of Azospirillum brasilense CBG497 and Comparative Analyses of Core and Accessory Genomes provide Insight into Niche Adaptation

Genome Sequence of Azospirillum brasilense and Comparative Analyses of Core and Accessory Genomes provide Insight into Niche Adaptation. Abstract: Bacteria of the genus Azospirillum colonize roots of important cereals and grasses, and promote plant growth by several mechanisms, notably phytohormone synthesis. The genomes of several Azospirillum strains belonging to different species, isolated from various host plants and locations, were recently sequenced and published. In this study, an additional genome of an A. brasilense strain, isolated from maize grown on an alkaline soil in the northeast of Mexico, strain CBG497, was obtained. Comparative genomic analyses were performed on this new genome and three other genomes ( A. brasilense Sp245, A. lipoferum 4B and Azospirillum sp. B510). The Azospirillum core genome was established and consists of 2,328 proteins, representing between 30% to 38% of the total encoded proteins within a genome. It is mainly chromosomally-encoded and contains 74% of genes of ancestral origin shared with some aquatic relatives. The non-ancestral part of the core genome is enriched in genes involved in signal transduction, in transport and in metabolism of carbohydrates and amino-acids, and in surface properties features linked to adaptation in fluctuating environments, such as soil and rhizosphere. Many genes involved in colonization of plant roots, plant-growth promotion (such as those involved in phytohormone biosynthesis), and properties involved in rhizosphere adaptation (such as catabolism of phenolic compounds, uptake of iron) are restricted to a particular strain and/or species, strongly suggesting niche-specific adaptation. brasilense Sp7 noeJ and noeL in extracellular polysaccharide
CMAR_A_246162 5331..5343

Xiang Ai 1 Xin Liao Junyan Li Peng Tang Jun Jiang 1Breast Disease Center, Southwest Hospital, The Army Military Medical University, Chongqing 400038, People’s Republic of China; 2Department of Breast Surgery, People’s Hospital of DeYang City, Deyang 618000, People’s Republic of China Background: Although stage IIIC (any TN3M0) breast cancer is known to have a dismal prognosis, the clinical outcome of current standard management and the prognostic differences between N3a, N3b and N3c remain to be further investigated. Material and Methods: Data from our center on pathologic N3 (pN3) (n=284) breast cancer and the US Surveillance, Epidemiology, and End Results (SEER) database on clinical N3 (cN3) (n=15,291) and M1 (n=23,623) breast cancer between January 2004 and December 2015 were systematically analyzed for clinicopathological characteristics and survival outcomes. Results: In our institution, patients with pN3c had the worst survival, with 5-year OS and DFS rates of 52.4% and 41.5%, respectively. Patients with pN3b had a relatively good prognosis, with a 5-year OS rate of 75.3% vs 63.9% for the pN3a group (p=0.045). For DFS, the 5-year survival rate was 63.1% in the pN3b group compared with 40.3% in the pN3a group (p=0.030). In the US SEER database, patients with cN3c had the worst survival in the cN3 group, but the prognosis of cN3c was much better than that of M1. Similarly, patients with cN3b had a better prognosis compared with patients in other groups, with a 5-year OS rate of 68.9% vs 61.9% for the cN3a group (p<0.001) and a 5-year BCSS rate of 73.4% vs 67.1% for the cN3a group (p<0.001). Conclusion: Breast cancer patients with N3c had the worst clinical outcomes, while the prognosis of N3b patients was better than that of N3a patients.
CRITICAL FACTORS AFFECTING COMPLIANCE tO

The increasing number of campus related incidents has prompted campuses to develop emergency notification systems to inform them of extreme events that may affect their safety. Complying with alerts is the key factor to improving safety. In this paper, we investigate the critical antecedents that motivate students to comply with campus emergency notifications. This paper develops a model that was tested based on the data collected from 600 students from a large university in the northeast region of the United States. Results of this research contribute to the IS literature, and to developing policies and strategies to improve compliance to alerts.
Analyzing the Co-Movements of the US Gross State Product Growth with the Use of the Minimum Dominating Set

Graph Theory and network analysis have received great attention lately in the process of analyzing complex economic systems. Here we propose the use of the Minimum Dominating Set concept in order to identify a representing set of nodes which can describe the collective behavior of an entire network. We apply this technique in US Gross State Product (GSP) growth for the period 1997-2010. The correlation matrix is used to describe the co-movements of GSP growth. Our results show that the GSP of the whole 51 states network can be represented by the values of just 8 states.
BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration

The discovery of cancer drivers and drug targets are often limited to the biological systems - from cancer model systems to patients. While multiomic patient databases have sparse drug response data, cancer model systems databases, despite covering a broad range of pharmacogenomic platforms, provide lower lineage-specific sample sizes, resulting in reduced statistical power to detect both functional driver genes and their associations with drug sensitivity profiles. Hence, integrating evidence across model systems, taking into account the pros and cons of each system, in addition to multiomic integration, can more efficiently deconvolve cellular mechanisms of cancer as well as learn therapeutic associations. To this end, we propose BaySyn - a hierarchical Bayesian evidence synthesis framework for multi-system multiomic integration. BaySyn detects functionally relevant driver genes based on their associations with upstream regulators using additive Gaussian process models and uses this evidence to calibrate Bayesian variable selection models in the (drug) outcome layer.We apply BaySyn to multiomic cancer cell line and patient datasets from the Cancer Cell Line Encyclopedia and The Cancer Genome Atlas, respectively, across pan-gynecological cancers. Our mechanistic models implicate several relevant functional genes across cancers such as PTPN6 and ERBB2 in the KEGG adherens junction gene set. Furthermore, our outcome model is able to make higher number of discoveries in drug response models than its uncalibrated counterparts under the same thresholds of Type I error control, including detection of known lineage-specific biomarker associations such as BCL11A in breast and FGFRL1 in ovarian cancers. All our results and implementation codes are freely available via an interactive R Shiny dashboard.
Design Nonlinear Controller H ∞ Static Output Feedback over Channel Flying Body of Elastic Effect: Iterative Sum of Square Method ISOS

: In this paper, problem design a controller of H ∞ static output feedback for a flying vehicle of above channel of elastic effect is investigated. Equations of motion of the flying vehicle, even in a channel in the presence of elastic effects, is the nonlinear equations. Design nonlinear Robust H ∞ controller for nonlinear control systems are complex issues. Sufficient conditions for the existence of a nonlinear H ∞ static output controller in terms of solvability of a polynomial matrix inequalities is given. The method used to design the controller guarantees that the closed-loop system is stable and gain-L2 mapping of the external input noise to the regulated output is less than or equal to a defined value .
Application of Response Surface Methodology in Malachite Green Adsorption Using Nteje Clay

: The adsorption of malachite green (MG) from aqueous solution was optimized using Response Surface Methodology (RSM). The clay obtained from Nteje in Nigeria was activated using tetraoxosulphate VI acid (H 2 SO 4 ). The clay was characterized using AAS and XRF to determine the elemental and oxides compositions that make up the clay. RSM was used to study the effects of important adsorption factors such as temperature, contact time, pH and dosage on the percentage adsorbed. Central composite design (CCD) was used to optimize these factors. Quadratic polynomial model was developed for proper process parametric study in order to achieve optimal performance. The model prediction was in close agreement with the experimental result conﬁrming the suitability of the proposed quadratic model. The result showed that the optimum adsorption was obtained at a temperature of 40 o C, time of 50 minutes, dosage of 0.8g and pH of 6.0 which resulted in 98.7% of malachite green adsorbed. The study showed that Nteje clay is a good adsorbent for removing MG from solution and that CCD can be used to optimize the adsorption process.
Immune Enhancement of Skin Carcinogenesis by CD4 (cid:2) T Cells

In a transgenic model of multi-stage squamous carcinogenesis induced by human papillomavirus (HPV) oncogenes, infiltrating CD4 (cid:2) T cells can be detected in both premalignant and malignant lesions. The lymph nodes that drain sites of epidermal neoplasia contain activated CD4 (cid:2) T cells predominantly reactive toward Staphylococcal bacterial antigens. HPV16 mice deficient in CD4 (cid:2) T cells were found to have delayed neoplastic progression and a lower incidence of tumors. This delay in carcinogenesis is marked by decreased infiltration of neutrophils, and reduced activity of matrix metalloproteinase-9, an important cofactor for tumor progression in this model. The data reveal an unexpected capability of CD4 T cells, whereby, proinflammatory CD4 (cid:2) T cells, apparently responding to bacterial infection of dysplastic skin lesions, can inadvertently enhance neoplastic progression to invasive cancer. with hyperchromatic nuclei, complete loss of keratohyalin granule containing cells, and extensive rete ridging of the basement membrane. The K14-HPV16 mice were maintained in the FVB/n background (FVB/n; The Jackson Laboratory). The generation of CD4 homozygous null animals (14) and CD8 (cid:3) homozygous null animals (15) has been reported. CD4 (cid:2) / (cid:4) mice were bred 14 generations into FVB/n (FVB/n; The Jackson Laboratory) before intercrossing with HPV16 transgenic mice (N21 FVB/n), in turn producing CD4-deficient HPV16 mice ( (cid:4) / (cid:4) ; n (cid:5) 142). CD8 (cid:3) (cid:2) / (cid:4) mice were bred five generations into FVB/n before intercrossing with HPV16 transgenic mice (N21 FVB/n), in turn producing CD8 (cid:3) -deficient ( (cid:4) / (cid:4) ; n (cid:5) 119) and CD8 (cid:3) -proficient ( (cid:2) / (cid:4) ; n (cid:5) 39) HPV16 mice. To minimize potential effects of genetic drift, the crosses to maintain the HPV16 line, and the CD8 (cid:2) / (cid:4) , and CD4 (cid:2) / (cid:4) backcrosses to FVB/n were all performed at the same time using a common FVB/n stock obtained from the The Jackson Laboratory.
Enhancing the Security of Playfair Cipher by Stream Cipher

: Cryptography is a science of converting clear message into secret message "nonreadable message",where message was encrypted at sender side then decrypted at receiver side. Playfair is an example of substitution cipher,it has various limitations, inthis paper we proposean advanced encryption algorithm which improves the security of Playfair method by combining it with modern cipher method like Stream cipher, Stream cipher relatively regards as unbreakable method, and bit oriented method (instead of character-oriented) where the Plaintext, Ciphertext and the Key are strings of bits. When applying the proposed algorithm, we see that the mentioned above combination cipher has a high degree of security, where cipher based on just Playfair method is not secure. Also the proposed algorithm makesthe cryptanalysis more difficult.
A RE C ARDIOVASCULAR D ISEASES B AD FOR E CONOMIC G ROWTH ?

We assess the impact of cardiovascular disease (CVD) mortality on economic growth, using a dynamic panel growth regression framework taking into account potential endogeneity problems. We start from a worldwide sample of countries for which data was available and detect a non-linearity in the influence of working age CVD mortality rates on growth across the per capita income scale. We then split the sample (according to the resulting income threshold) into low- and middle-income countries on one hand, and high-income countries on the other hand. In the latter sample we find a robust negative contribution of increasing CVD mortality rates on subsequent five-year growth rates. Not too surprisingly, we find no significant impact in the low- and middle-income country sample.
Corrigendum to "On time-varying factor models: Estimation and testing" [J. Econometrics 198 (2017) 84-101]

We note that Su and Wang (2017, On Time-varying Factor Models: Estimation and Testing, Journal of Econometrics 198, 84-101) ignore the bias terms when estimating the time-varying factor models. In this note, we correct the theoretical results on the estimation of time-varying factor models. The asymptotic results for testing the correct specification of time invariant factor loadings are not affected. JEL Classification: C12, C14, C33, C38.
spindle scaling during development by kif2a and importin α.

Early development of many animals is characterized by rapid cleavages that dramatically decrease cell size, but how the mitotic spindle adapts to changing cell dimensions is not understood. To identify mechanisms that scale the spindle during Xenopus laevis embryogenesis, we established an in vitro system using cytoplasmic extracts prepared from embryos that recapitulates in vivo spindle size differences between stage 3 (4 cells, 37 µm) and stage 8 ( ∼ 4000 cells, 18 µm). We identified the kinesin-13 kif2a as a driver of developmental spindle scaling whose microtubule-destabilizing activity is inhibited in stage 3 spindles by the transport receptor importin α , and activated in stage 8 when importin α partitions to a membrane pool. Altering spindle size in developing embryos impaired spindle orientation during metaphase, but chromosome segregation remained robust. Thus, spindle size in Xenopus development is coupled to cell size through a ratiometric mechanism controlling microtubule destabilization.
Real time dynamics and critical phenomena of quantum impurity systems

Die Numerische-Renormierungsgruppe (NRG) hat sich zu einem Standardwerkzeug zur Simulation von Quantenstortstellensystemen bei tiefen Temperaturen entwickelt. Fur solche Simulationen sind drei Schritte notwendig: das Bad wird logarithmisch diskretisiert, auf eine Wilson Kette abgebildet und diese wird iterativ diagonalisiert. Fur die NRG existieren zahlreiche Erweiterungen, von denen zwei fur diese Arbeit relevant sind: zum einen die Behandlung bosonischer Systeme und zum anderen die Untersuchung von zeitabhangingen Prozessen. Wir stellen fest, dass die bosonische NRG falsche kritische Exponenten fur den Phasenubergang des Spin-Bose-Modells (SBM) liefert und dass bei Nicht-Gleichgewichtsrechnungen Diskrepanzen zwischen den Ergebnissen eines kontinuierlichen und eines diskretisierten Bades bestehen. Durch die iterative Diagonalisierung der Wilson-Kette wird auf jeder Iterationsstufe eine Restkette vernachlassigt. Bei bosonischen Systemen fuhrt dies zu einer iterationsabhangigen Renormierung der kritischen Kopplung. Anhand des Spin-Bose-Modells im sub-ohmischen Regime zeigen wir, dass dieser Effekt zu falschen kritischen Exponenten fuhrt. Mit Dichtematrix-Renormierungsgruppe (DMRG) Rechnungen zeigen wir, dass man, unter Berucksichtigung der Restkette, die korrekten kritischen Exponenten bestimmen kann. Dies setzt eine optimierte bosonische Basis voraus, die wir wahrend der DMRG variationell bestimmen. Anhand von Nicht-Gleichgewichtsberechnungen fur das Resonant-Level-Model (RLM) zeigen wir, dass die logarithmische Baddiskretisierung zu unphysikalischen Ergebnissen der Storstellenbesetzung fuhrt. Die Ursache hierfur fuhren wir auf interne Reflektionen einer Ladungswelle in der Wilson-Kette zuruck. Um diese zu vermeiden, schlagen wir einen optimierten aus zwei aneinandergehangten Wilson-Ketten Kettenaufbau vor. Da es bei diesen Systemen keine klare Trennung der Energieskalen mehr gibt, ist die NRG nicht fur die Berechnung solcher Systeme geeignet. Daher entwickeln wir eine neue Hybrid-Methode, bei der die NRG einen effektiven Niederenergie-Hamiltonoperator erzeugt, der anschliesend mit der zeitabhangigen Dichtematrix-Renormierungsgruppe (TD-DMRG) simuliert wird. Durch dieses Schema erreicht man Zeitskalen, die sonst mit der TD-DMRG unerreichbar bleiben. Die neue Methode wird am RLM getestet. Als erste Anwendung der neuen Methode wird diese auf das wechselwirkende Resonant-Level-Modell (IRLM) angewendet. Bei diesem Modell beobachten wir durch die Wechselwirkung hervorgerufene Oszillationen und neue Zeitskalen, die keine thermodynamische Entsprechung haben. Die Ergebnisse der neuen Hybrid-Methode reproduzieren analytische Vorhersagen basierend auf einer 1/U Entwicklung. Die neue Hybrid-Methode liefert nicht nur in den Grenzwerten U gegen 0 und U gegen unendlich korrekte Ergebnisse, sondern ist im vollstandigen Parameterregime anwendbar. %%%%Since its proposal in 1975 the numerical renormalization group (NRG) has developed to a widely used standard tool to simulate quantum impurity system (QISs) at low temperatures. The…
Comparative Evaluation of Database Read and Write Performance in an Internet of Things Context

—In the context of the Internet of Things (IoT), there is the need to manage huge amounts of time series sensor data, if high frequency device monitoring and predictive analytics are targeted for improving the overall process quality in production or supervision of quality management. The key challenge here is to be able to collect, transport, store and retrieve such high frequency data from multiple sensors with minimum resource usage, as this allows to scale such systems with low costs. For evaluating the performance impact of such an IoT scenario, we produce 1000 datasets per second for ﬁve sensors. We send them to three different types of popular database management systems (i.e., MariaDB, MongoDB and InﬂuxDB) and measure the resource impacts of the writing and reading operations over the whole processing pipeline. These measurements are CPU usage, network usage, disk performance and usage, and memory usage results plus a comparison of the difﬁculty for the developers to engineer such a processing pipeline. In the end, we have a recommendation depending on the needs, which database management system is best suited for processing high frequency sensor data in an IoT context.
RNA_Seq Viewer: A Mobile App for Displaying NGS Gene Expression Data

— In recent years, Next Generation Sequencing (NGS) technology has dramatically advanced genome researches and biomedical sciences, which generates and accumulates a large amount of biological data rapidly. Nowadays, there is a rapid expansion of tablets and smart phone devices, replacing the traditional personal computers and notebooks commonly used for information retrieval and display. However, there are little bioinformatic related mobile applications developed specifically for NGS data visualization on mobile devices. To demonstrate the feasibility of displaying large NGS data using the mobile devices, we designed and implemented a new iOS App - the RNA_Seq Viewer, for the visualization of The Cancer Genome Atlas (TCGA) gene expression datasets. This iOS App could efficiently display gene expression information systematically over the human chromosome framework. We have processed over 2,500 human cancer patients in nine cancer types retrieved from the TCGA web site. This mobile App could be potentially utilized in future personalized medicine applications by serving as the essential visualization core component to easily access the personal genomic and medical information through the cloud based data warehouses.
PEV Charging Infrastructure Siting Based on Spatial–Temporal Traffic Flow Distribution

Plug-in electric vehicles (PEVs) offer a solution to reduce greenhouse gas emissions and decrease fossil fuel consumption. PEV charging infrastructure siting must ensure not only a satisfactory charging service for PEV users but also a high utilization and profitability for the chosen facility locations. Thus, the various types of charging facilities should be located based on an accurate location estimation of the potential PEV charging demand. In this paper, we propose a spatial–temporal flow capturing location model. This model determines the locations of various types of charging facilities based on the spatial–temporal distribution of traffic flows. We utilize the dynamic traffic assignment model to estimate the time-varying traffic flows on the road transportation network. Then, we cluster the traffic flow dataset into distinct categories using the Gaussian mixture model and site each type of charging facilities to capture a specific traffic pattern. We formulate our siting model as an mixed integer linear programming optimization problem. The model is evaluated based on two benchmark transportation networks, and the simulation results demonstrate the effectiveness of the proposed model.
Teacher Cognition

The study of teacher cognition what teachers think, know and believe and of its relationship to teachers' classroom practices has become a key theme in the field of language teaching and teacher education. This new in paperback volume provides a timely discussion of the research which now exists on language teacher cognition. This paper is divided into two chapters. Chapter one includes notion of cognition ,and psychology of cognition. Chapter two includes teacher cognition , the origins of teacher cognition research, characteristics of foreign language teachers, and teachers cognition in terms of knowledge,belief and classroom practices. Finally,the conclusion sums up the findings of this paper.