Miracle-dz/UniFAR-FTUs huggingface dataset:
The Forwarding Indices of Graphs -- a Survey

A routing R of a connected graph G of order n is a collection of n(n 1) simple paths connecting every ordered pair of vertices of G. The vertex-forwarding index (G;R) of G with respect to a routing R is defined as the maximum number of paths in R passing through any vertex of G. The vertex-forwarding index (G) of G is defined as the minimum (G;R) over all routings R of G. Similarly, the edge-forwarding index (G;R) of G with respect to a routing R is the maximum number of paths in R passing through any edge of G. The edge-forwarding index (G) of G is the minimum (G;R) over all routings R of G. The vertex-forwarding index or the edge-forwarding index corresponds to the maximum load of the graph. Therefore, it is important to find routings minimizing these indices and thus has received much research attention for over twenty years. This paper surveys some known results on these forwarding indices, further research problems and several conjectures, also states some diculty and relations to other topics in graph theory.
Influence of a virtual reality-based exercise protocol on the sit-to-stand activity kinematic variables in pregnant women: a randomized controlled trial

Aims: Changes resulting from the gestational period may lead to changes in the biomechanics of women, which can alter the performance of functional activities such as sit-to-stand. Thus, the objective of this study was to investigate the influence of a virtual reality-based exercise protocol on the kinematic variables of the sit-to-stand movement in women in their second and third gestational trimesters. Methods: The sample consisted of 44 women selected according to the eligibility criteria, allocated into 4 groups: control group, 2nd trimester (CG2T); experimental group, 2nd trimester (EG2T); control group, 3rd trimester (CG3T); and experimental group, 3rd trimester (EG3T). All the volunteers answered the identification and evaluation form and were sent to the kinematic evaluation through the Qualisys Motion Capture System®. An intervention with game therapy was performed in 12 sessions of 30 minutes each, three times a week. Results: No statistically significant differences were found intra(P> 0.54) and inter-groups (P> 0.059) for kinematic variables. However, there was a tendency for improvement in the analyzed variables after the proposed protocol. Conclusions: The data obtained suggest that the use of the Nintendo Wii Fit Plus® was not able to influence sit-to-stand kinematic variables in the analyzed women.
Perceptions of contextual factors affecting role efficacy : senior NHS managers

Managerial work in National Health Service takes place in a highly complex and volatile emergent context. National Health Service senior managers play a crucial role in implementing structural and cultural change. They make sense of their social, political work environment and their expectations for role efficacy in an individual and highly contextual manner. It is increasingly vital for those responsible for major organizations to understand and manage organisational processes such as directing senior managers more effectively to better enhance organisational capability. This study adopts a social constructionist interpretive approach to identify the unique constructs senior managers use to describe the facilitative and inhibitory contextual factors influencing role efficacy. A repertory grid technique developed by George Kelly (1955) and based on his Personal Construct Theory is applied to a group of National Health Service senior managers at a large District General Hospital to elicit their unique constructs. The study reveals that senior managers believe leadership, team effectiveness and clarity of role and organisational strategic objectives are vital to their role efficacy as change managers. These findings corroborate those of extant literature that has explored factors conducive to change, innovation and entrepreneurship. This study makes a unique contribution to change management literature by presenting rich qualitative descriptions in the words of the senior managers. The study also endorses the repertory grid technique and underlying Personal Construct Theory as productive and appropriate frameworks for use in management research to access valuable tacit knowledge and eliminate researcher bias. These results contribute to the growing body of literature that associates organisational effectiveness with senior and middle manager role efficacy. Suggestions are made for further research.
Psychology of Narrative Art

Artistic narrative has been recognized in fictional genres such as poetry, plays, novels, short stories, and films. It occurs also in nonfictional genres such as essays and biographies. We review evidence on the empirical exploration of effects of narrative, principally fiction, on how it enables people to become more empathetic, on how foregrounded phrases encourage readers to recognize the significance of events as if for the first time in ways that tend to elicit emotion, and on how literary works can help people to change their own personalities. We then suggest 3 principles that characterize narrative art in psychological terms: a focus on emotion and empathy, a focus on character, and a basis of indirect communication.
GASNet Core API on Scalable Coherent Interface : Design and Realization

UPC is a promising programming model for shared-memory parallel computing on sharedand distributed-memory system architectures. Berkeley UPC, which utilizes the GASNet communication system, is one promising system aimed to develop a portable, high-performance implementation of UPC for large-scale clusters. Scalable Coherent Interface (SCI) is known for its ability to provide very low latency transfers and direct support of a global shared-memory address space. High-performance parallel clusters built with SCI appear as a promising platform for large-scale UPC applications. This paper introduces the design of the GASNet SCI Conduit Core API. Data structures and algorithms needed to support Active Message (Core API) on top of SCI SISCI API are described and performance results of preliminary tests are included.
Thylacinus cynocephalus The mitochondrial genome sequence of the Tasmanian tiger ( P < P

object identifier (DOIs) and date of initial publication. by PubMed from initial publication. Citations to Advance online articles must include the digital publication). Advance online articles are citable and establish publication priority; they are indexed appeared in the paper journal (edited, typeset versions may be posted when available prior to final Advance online articles have been peer reviewed and accepted for publication but have not yet
Prognostic value of the neutrophil-to-lymphocyte ratio in the ARQ 197-215 second-line study for advanced hepatocellular carcinoma

The ARQ 197-215 study randomized patients to tivantinib or placebo and pre-specified efficacy analyses indicated the predictive value of MET expression as a marker of benefit from tivantinib in hepatocellular carcinoma (HCC). We aimed to explore the neutrophil-to-lymphocyte ratio (NLR) in 98 ARQ 197-215 patients with available absolute neutrophil count and absolute lymphocyte count at baseline. The cut-off value used to define high versus low NLR was 3.0. In univariate analysis, high NLR was associated with hazard ratio (HR) for overall survival (OS) of 1.58 [95% confidence interval (CI) 1.01; 2.47; P <0.046], corresponding to median OS of 5.1 months versus 7.8 months in patients with low NLR (P = 0.044). In contrast, time to progression was not significantly affected by NLR (P = 0.20). Multivariable model confirmed that both NLR >3 (P = 0.03) and presence of vascular invasion (P = 0.017) were negatively associated with OS. After adjustment for vascular invasion, NLR independently predicted survival in both the placebo and the tivantinib cohort. For OS, no interaction was detected between NLR status and treatment (Pinteraction = 0.40). Baseline NLR is an independent prognostic biomarker in patients with HCC and compensated liver function who are candidate for second-line treatments.
Visibility learning in large-scale urban environment

A crucial step in many vision based applications, such as localization and structure from motion, is the data association between a large map of known 3D points and 2D features perceived by a new camera. In this paper, we propose a novel approach to predict the visibility of known 3D points with respect to a query camera in large-scale environments. In our approach, we model the visibility of each 3D point with respect to a camera pose using a memory-based learning algorithm, in which a distance metric between cameras is learned in an entirely non-parametric way. We show that by fully exploiting the geometric relationships between the 3D map and the camera poses, as well as the related appearance information, the resulting prediction is much more robust and efficient than conventional approaches. We demonstrate the performance of our algorithm on a large urban 3D model in terms of both speed and accuracy.
Differentiated instruction in a data-based decision-making context

ABSTRACT In this study, the relationship between differentiated instruction, as an element of data-based decision making, and student achievement was examined. Classroom observations (n = 144) were used to measure teachers’ differentiated instruction practices and to predict the mathematical achievement of 2nd- and 5th-grade students (n = 953). The analysis of classroom observation data was based on a combination of generalizability theory and item response theory, and student achievement effects were determined by means of multilevel analysis. No significant positive effects were found for differentiated instruction practices. Furthermore, findings showed that students in low-ability groups profited less from differentiated instruction than students in average or high-ability groups. Nevertheless, the findings, data collection, and data-analysis procedures of this study contribute to the study of classroom observation and the measurement of differentiated instruction.
Spatio-temporal variability and principal components of the particle number size distribution in an urban atmosphere

A correct description of fine (diameter <1µm) and ultrafine ( <0.1µm) aerosol particles in urban areas is of interest for particle exposure assessment but also basic atmo- spheric research. We examined the spatio-temporal variabil- ity of atmospheric aerosol particles (size range 3-800 nm) using concurrent number size distribution measurements at a maximum of eight observation sites in and around Leipzig, a city in Central Europe. Two main experiments were con- ducted with different time span and number of observation sites (2 years at 3 sites; 1 month at 8 sites). A general obser- vation was that the particle number size distribution varied in time and space in a complex fashion as a result of interaction between local and far-range sources, and the meteorological conditions. To identify statistically independent factors in the urban aerosol, different runs of principal component (PC) analysis were conducted encompassing aerosol, gas phase, and meteorological parameters from the multiple sites. Sev- eral of the resulting PCs, outstanding with respect to their temporal persistence and spatial coverage, could be associ- ated with aerosol particle modes: a first accumulation mode ("droplet mode", 300-800 nm), considered to be the result of liquid phase processes and far-range transport; a second accumulation mode (centered around diameters 90-250 nm), considered to result from primary emissions as well as ag- ing through condensation and coagulation; an Aitken mode (30-200 nm) linked to urban traffic emissions in addition to an urban and a rural Aitken mode; a nucleation mode (5- 20 nm) linked to urban traffic emissions; nucleation modes (3-20 nm) linked to photochemically induced particle forma- tion; an aged nucleation mode (10-50 nm). Additional PCs represented only local sources at a single site, or infrequent phenomena. In summary, the analysis of size distributions of high time and size resolution yielded a surprising wealth of statistical aerosol components occurring in the urban atmo- sphere over one single city. A paradigm on the behaviour of sub-µm urban aerosol particles is proposed, with recommen- dations how to efficiently monitor individual sub-fractions across an entire city.
Phenotypic and Genotypic Correction of WASP Gene Mutation in Wiskott-Aldrich Syndrome by Unrelated Cord Blood Stem Cell Transplantation

We present two cases of Wiskott-Aldrich syndrome (WAS), in which nonsense mutations in the WASP gene were corrected phenotypically as well as genotypically by unrelated cord blood stem cell transplantation (CBSCT). Two male patients were diagnosed with WAS at the age of 5-month and 3-month and each received unrelated CBSCT at 16-month and 20-month of age, respectively. The infused cord blood (CB) units had 4/6 and 5/6 HLA matches and the infusion doses of total nucleated cells (TNC) and CD34+ cells were 6.24×107/kg and 5.08×107/kg for TNC and 1.33×105/kg and 4.8×105/kg for CD34+ cells, for UPN1 and UPN2, respectively. Complete donor cell chimerism was documented by variable number tandem repeat (VNTR) with neutrophil engraftment on days 31 and 13 and platelets on days 58 and 50, respectively. Immunologic reconstitution demonstrated that CBSCT resulted in consistent and stable T-, B-, and NK-cell development. Flow cytometric analysis for immunologic markers and sequence analysis of the WASP gene mutation revealed a normal pattern after CBSCT. These cases demonstrate that CBs can be an important source of stem cells for the phenotypical and genotypical correction of genetic diseases such as WAS.
KORELASI PENGARUH FAKTOR EFIKASI DIRIDAN MANAJEMEN DIRI TERHADAP MOTIVASI BERPRESTASIPADA MAHASISWA PENDIDIKAN KIMIAUNVERSITAS BENGKULU

Penelitian ini bertujuan untuk menganalisis hubungan efikasi diri, manajemen diri secara parsial dan bersama sama terhadap motivasi berprestasi pada mahasiswa Pendidikan Kimia FKIP Unib. Populasi penelitian adalah 140 orang dengan dengan jumlah sample 104 orang, dan data diolah dengan SPSS 16. Hasil penelitian secara umum menunjukkan bahwa ada pengaruh signifikan dari efikasi diri dan manajemen diri terhadap motivasi berprestasi pada mahasiswa dengan kategori cukup. Hal ini berarti bahwa ada berpengaruh yang signifikan dan linier secara parsial ataupun secara bersama sama dari aspek efikasi diri dan manajemen diri, terhadap motivasi berprestasi mahasiswa, dengan aspek manajemen diri memiliki pengaruh yang lebih besar dibandingkan aspek efikasi diri terhadap motivasi berprestasi yang dimiliki oleh mahasiswa. Ketiga aspek saling terkait erat dan saling mempengaruhi satu sama lain.
Increase in GLBTQ Minority Stress Following the 2016 US Presidential Election

ABSTRACT Since his inauguration, Donald J. Trump and his presidential administration have failed to show support or publicly acknowledge the rights of gay, lesbian, bisexual, transgender, and queer (GLBTQ) individuals. Historically, conservative anti-GLBTQ campaigns and policies have caused long-lasting negative effects on GLBTQ individuals' mental health, physical health, and sense of safety in their communities. The current presidential administration has done little to mitigate these effects and has taken steps since Trump's inauguration to continue a conservative pattern of anti-GLBTQ initiatives. This study assessed 172 GLBTQ individuals' perceptions of minority stress experiences before and after the 2016 US presidential election. Paired-sample t-tests indicated that participants experienced significantly higher levels of stress pertaining to sexual orientation rumination, daily experiences of harassment/discrimination, more symptoms of depression and anxiety post-election, as well as a stronger connection to the GLBTQ community. An exploratory regression analysis confirmed that sexual-orientation-based rumination, sexual identity salience, and daily experiences of distal discrimination were adequate predictors of sexual minorities' levels of vigilance post-election. Discussion focuses on the impact of the Trump administration on minority stress experiences and the well-being of GLBTQ Americans. Implications of this study point to the need to continue to explore how to best support and bolster GLBTQ well-being during anti-GLBTQ political administrations.
A Robust Stereo Matching Method for Low Texture Stereo Images

Computing disparity images for stereo pairs of low texture images is a challenging task because matching costs inside low texture areas of the stereo pairs are almost similar. This problem can not be solved straightforwardly by increasing the size of aggregation windows or by using global optimization methods, e.g. dynamic programming, because those approaches will smooth depth discontinued boundaries as well. Based on the assumption that disparities of pixels in homogeneous regions are similar, this paper proposes a new method that is able to robustly perform stereo matching for low texture stereo images. The proposed method utilizes the edge maps computed from the stereo pairs to guide the cost aggregation process in stereo matching. By using edge maps, the proposed method can achieve the effect of using different shapes and sizes of aggregation windows. Moreover, the computational complexity of the proposed method is independent from the window size, similar to the moving average aggregation method. Experimental results from both of an artificial and a real stereo image sequence demonstrate that the proposed method can produce a larger number of and a better accuracy of reliable disparities for low texture stereo images than the moving average method.
Metabolic Syndrome and Selective Inflammatory Markers in Psoriatic Patients

The presented article studies the role of selected inflammatory and anti-inflammatory serum markers of psoriatic patients in the pathogenesis of metabolic syndrome (MS) and psoriasis. The study is based on the comparison between the group of psoriatic patients (74) and the control group (65). We found significantly higher BMI (p < 0.05) and diastolic blood pressure (p < 0.05) in the psoriatic patients. The values of waist circumference and BMI were significantly higher (p < 0.05) in the male patients compared to the men in the control group. The analysis revealed significantly higher CRP (p < 0.001), Lp-PLA2 (p < 0.001), leptin (p < 0.01), and resistin (p < 0.01) levels in the psoriatic patients. Significantly higher levels of CRP (p < 0.01), Lp-PLA2 (p < 0.001), leptin (p < 0.01), and resistin (p < 0.05) were found in the patients with MS compared to the controls with MS. The level of adiponectin was significantly lower (p < 0.01) in the patients with MS. Finally, we found significantly higher level of Lp-PLA2 (p < 0.001) in the group of patients without MS compared to the controls without MS. In conclusion, observed inflammatory and anti-inflammatory markers (CRP, adiponectin, leptin, resistin, and Lp-PLA2) are involved in both pathogenesis of MS and pathogenesis of psoriasis. The level of Lp-PLA2 indicates the presence of subclinical atherosclerosis (cardiovascular risk) in psoriatic patients.
Improving Internet of Things communications through compression and classification

The amount of data produced and exchanged in the Internet of Things is continuously increasing. The associated management costs for information transmission and classification are becoming an almost unbearable burden due to the unprecedented number of data sources and the intrinsic vastness of the dataset. In this paper, we propose a novel lightweight approach capable of alleviating both aspects by leveraging on the advantages offered by classification methods to optimize communications and by enhancing information transmission to simplify data classification. In particular, we propose to adopt Motifs, recurrent features used for signal categorization, in order to compress data streams: in such a way it is possible to achieve compression levels of up to an order of magnitude, while maintaining the signal distortion rate within acceptable bounds and allowing for simple lightweight distributed classification and anomaly detection techniques. We elaborate about data representation and motif extraction methods for constrained devices, proposing a simple and effective solution for the problem. We validate our approach with an extensive simulation campaign thoroughly spanning the system parameter set. This work paves the road ahead for the realization of a universal signal processor for constrained devices in the Internet of Things, which will be capable of appropriately handling any given data while at the same time increasing communication efficiency.
Effects of Thermal Radiation on Magnetohydrodynamic (MHD) Flow of a Micropolar Fluid towards a Stagnation Point on a Vertical Plate

The steady MHD mixed convection stagnation point flow towards a vertical surface immersed in an incompressible micropolar fluid in the presence of thermal radiation is investigated. The external velocity impinges normal to the wall and the wall temperature is assumed to vary linearly with the distance from the stagnation point. The governing partial differential equations are transformed into a system of ordinary differential equations, which is then solved numerically due to nonlinearity of the system by a shooting technique alongside with sixth order Runge-Kutta iteration scheme. The features of the flow and heat transfer characteristics for different values of the embedded flow parameters are analyzed and discussed. Both assisting and opposing flows are considered. We made comparison with Ishak et al [1] upper solution being the only stable solution in the absence of radiation and there were perfect agreement. The heat transfer rate and the skin friction were discussed extensively.
Identification and Characterization of MicroRNAs in Snakehead Fish Cell Line upon Snakehead Fish Vesiculovirus Infection

MicroRNAs (miRNAs) play important roles in mediating multiple biological processes in eukaryotes and are being increasingly studied to evaluate their roles associated with cellular changes following viral infection. Snakehead fish Vesiculovirus (SHVV) has caused mass mortality in snakehead fish during the past few years. To identify specific miRNAs involved in SHVV infection, we performed microRNA deep sequencing on a snakehead fish cell line (SSN-1) with or without SHVV infection. A total of 205 known miRNAs were identified when they were aligned with the known zebrafish miRNAs, and nine novel miRNAs were identified using MiRDeep2 software. Eighteen and 143 of the 205 known miRNAs were differentially expressed at three and 24 h post-infection (poi), respectively. From the differentially-expressed miRNAs, five were randomly selected to validate their expression profiles using quantitative reverse transcription polymerase chain reaction (qRT-PCR), and their expression profiles were consistent with the microRNA sequencing results. In addition, the target gene prediction of the SHVV genome was performed for the differentially-expressed host miRNAs, and a total of 10 and 58 differentially-expressed miRNAs were predicted to bind to the SHVV genome at three and 24 h poi, respectively. The effects of three selected miRNAs (miR-130-5p, miR-214 and miR-216b) on SHVV multiplication were evaluated using their mimics and inhibitors via qRT-PCR and Western blotting. The results showed that all three miRNAs were able to inhibit the multiplication of SHVV; whereas the mechanisms underlying the SHVV multiplication inhibited by the specific miRNAs need to be further characterized in the future.