Miracle-dz/UniFAR-FTUs huggingface dataset:
Supervised Community Detection with Line Graph Neural Networks

Traditionally, community detection in graphs can be solved using spectral methods or posterior inference under probabilistic graphical models. Focusing on random graph families such as the stochastic block model, recent research has unified both approaches and identified both statistical and computational detection thresholds in terms of the signal-to-noise ratio. By recasting community detection as a node-wise classification problem on graphs, we can also study it from a learning perspective. We present a novel family of Graph Neural Networks (GNNs) for solving community detection problems in a supervised learning setting. We show that, in a data-driven manner and without access to the underlying generative models, they can match or even surpass the performance of the belief propagation algorithm on binary and multi-class stochastic block models, which is believed to reach the computational threshold. In particular, we propose to augment GNNs with the non-backtracking operator defined on the line graph of edge adjacencies. Our models also achieve good performance on real-world datasets. In addition, we perform the first analysis of the optimization landscape of training linear GNNs for community detection problems, demonstrating that under certain simplifications and assumptions, the loss values at local and global minima are not far apart.
Talented Suppliers ? Strategic Change in the UK Aerospace Industry and its Implications for Innovation

The 1990s marked the start of extensive re-structuring in the aerospace industry throughout the world. While the ensuing consolidation among prime contractors has been widely researched, the changes affecting the aerospace supply chain have received less attention. This study focuses on the re-structuring taking place within the supply chain of the UK aerospace industry. The findings point to extensive restructuring. Unlike most earlier studies the lean supply model was found to be a powerful influence, with suppliers moving away from subcontractor status and instead taking on the mantle of ‘talented’ suppliers. While some of the implications of lean supply, in terms of the dynamics of innovation, were not apparent, there were modest signs of increased process innovation on the part of some suppliers.
An application of Bayesian analysis and Markov chain Monte Carlo methods to the estimation of a regional trend in annual maxima

Bayesian analysis is becoming increasingly popular in a number of fields, including hydrology. It appears to be a convenient framework for deriving complex models in agreement with both physical reality and statistical requirements. The aim of this paper is to present an application to the regional frequency analysis of extremes in a nonstationary context. A nonstationary regional model is thus proposed, together with the related hypotheses. The Bayesian inference of this model is then described. Markov chain Monte Carlo (MCMC) methods are needed for this purpose because of the dimensionality of the model and are described in this paper. The usefulness of such a model is then illustrated on a hydrological case study concerning annual maximum discharges of several sites. The advantage of regional analysis compared to at‐site estimation is thus highlighted. Moreover, the Bayesian framework allows for a direct and comprehensive inference based on the posterior distribution and is able to take into account modeling uncertainties, which is particularly useful when the stationarity of a series can neither be ensured nor be totally rejected.
Happiness Ingredients Detection using Multi-Task Deep Learning

We propose a novel deep multi-task learning model for the task of detecting happiness ingredients. The two classes/labels ”agency” and ”social” are treated as two separate tasks for training Deep Learning classifiers. Then, we train a multi-task deep learning classifier to see if the shared knowledge between the two tasks can improve the overall results. In addition, we compare several models that use different kinds of word embeddings: different dimensions of the vectors, fixed versus trainable embeddings, initialized randomly or with existing embeddings.
Evalution of Indian bean (Lablab purpureus L. var. typicus) seeds’ inoculation with Rhizobium phaseoli and Pseudomonas fluorescens on growth, yield and nutritional quality

The field experiment was conducted at Horticulture Farm, S.K. N. College of Agriculture, Jobner (Jaipur) during kharif season 2016-2017. The experiment consisting four plant growth promoting bacteria like viz. P0 (control), P1 (Rhizobium phaseoli), P2 (Pseudomonas fluorescens) and P3 (Rhizobium phaseoli + Pseudomonas fluorescens) with three replications. The seeds of Indian bean inoculated with Rhizobium phaseoli + Pseudomonas fluorescens significantly increased the plant height (cm), number of branches per plant, dry matter accumulation, CGR at 45-60 and 60-75 days after sowing, chlorophyll content in leaves, leaf area, number of green pods per plant, average pod weight (g), green pod length (cm), number of pickings per plant, green pod yield per plant, green pod yield per plot, green pod yield (74.28 q/ha), protein content, net returns (₹ 67875/ha) and B:C ratio (2.56) than control (no inoculation) as compared to control. Whereas, crude fibre content was recorded minimum in treatment inoculation with Rhizobium phaseoli + Pseudomonas fluorescens.
eXtreme Teaching

It sounds extreme to talk about getting higher quality at lower costs – and yet that is exactly what happens in eXtreme Programming. If it can be done for producing software products, we think it might be possible to carry over (all or most of) their techniques to teaching and get better teaching products (learning) at lower costs – simply by initiating eXtreme Teaching.
Parent’s Just Don’t Understand: Parental Support, Religion and Depressive Symptoms among Same-Race and Interracial Relationships

Research finds that individuals in interracial relationships have poorer mental health than those in same-race relationships. Family support, or lack thereof, may play an important role in explaining the psychological risks for such individuals. Growing attention has focused on the complex interplay between religion, health, and family life, particularly the stress-buffering role of religious involvement. However, little attention has been given to the possible mitigating effects of religion in the face of limited family support among same-race and interracial couples. Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), this study addresses two important questions: (1) Is weak family support associated with depressive symptoms among individuals in same-race and interracial relationships? ; and (2) Does religious involvement buffer the association between weak family support and depressive symptoms for individuals engaged in these romantic ties? Results suggest that weak parental support is associated with depressive symptoms for individuals in both same-race and interracial relationships, however we find limited support of religion protecting against weak parental support for individuals in interracial unions. The results highlight the complex interplay between religion, health, and family in contemporary American life.
The Effects of Extracted Peptide from Skin of Iraqi Frog (Rana ridibunda) on Human Leukemic Lymphocytes

The purified frog skin peptides were tested on leukemic patients lymphocytes, which revealed effects of cytotoxicity. Four frogs (Rana ridibunda) were stimulated by single intra-peritoneal injection of norepinephrine-HCl . Five different peptides;1(18) A, 2(19) L, 3(20) I,4(21) E and 5(22) Y were isolated and quantified. The peptide 3(20)I had 5.87% of hemolysis, while healthy human lymphocytes cytotoxic activity was for 2(19)L with inhibition( -10.4%). All peptides were subjected to polyacrylamide gel electrophoresis. The results revealed peptides 1(18)A, 2(19)L, 3(20)I which appeared as low as 10 KDa marker. Theoretically, the whole polypeptide had a molecular weight 7488.61 Dalton and contained on 62.405 amino acid (a.a). The peptide 4(21)E had a highest inhibitory effect(46%) on tumor cell line L20B. Furthermore , peptides effects on acute and chronic myeloid lymphocytic leukemia patients cell cultures revealed peptides selectivity in their action according to their net charge and functional group as reactant proton donor by the evidence of peptide 5(22)Y, 16.22 Dalton so it was either N—terminus (--NH2) or C—terminus (--OH) that led to cross cell membrane then acted as antigen mediated and activated cells in a high significant value (-142.37± 47.69)for acute myeloid lymphocytic leukemia . Both of peptides 3(20) I and 2(19) L were revealed a highly significant differences within Chr.40 and Chr. 22 of inhibition effects by testing volumes 15 µl and 10 µl . Those inhibition effects were due to peptides reaction with mitochondrial membrane which led to apoptosis . Conclusion; Frog skin peptides have a therapeutically worth for malignant diseases. Also some of peptides were activated lymphocytes may to cure immunodeficiency.
Role of Protein Vibration in Convergent and Divergent Thinking with Respect to Student’s Performances

The paper focuses on the performances of the Students in Scholastic achievement as well as in creative activities. The performances of the students in creative activities have been analyzed statistically. These result in categorizing the Students in Convergent group and Divergent group. This classification is also supported by the role played by some memory related proteins. The role of protein has been considered here in the context of protein vibration approach. Our results of protein vibration approach are found to be compatible with those investigated by R Olga with EEG rhythms. The paper also suggests on the quality improvement of the students of Indian Schools by involving them in creative activities along with normal class content.
Self-Esteem as the Mediator Between Marital Satisfaction and Depression

The present study investigated whether self-esteem mediates the relationship of marital satisfaction with depression in married couples. Kansas Marital Satisfaction Scale (KMSS; Schumm, Scanlon, Crow, Green, & Buckler, 1983), Rosenberg Self-Esteem Scale (RSES; Rosenberg, 1965), and Center for Epidemiologic Studies Depression Scale (CESD; Radloff, 1977) were administered on a sample of 100 couples. Linear and Stepwise Regression analyses were applied to analyze the data. The analyses reveal a significant predictive relationship of Marital Satisfaction with Self- Esteem (R² = 0.062, F = 13.004, p < .05) and of Self-Esteem with Depression (R² = 0.256, F= 68.076, p < .05). Moreover, Self-esteem significantly mediated the relationship of Marital Satisfaction with Depression (F = 37.699, df = 2, 97, p < .05).
Past, Present, and Future of Regeneration Therapy in Oral and Periodontal Tissue: A Review

Chronic periodontitis is the most common disease which induces oral tissue destruction. The goal of periodontal treatment is to reduce inflammation and regenerate the defects. As the structure of periodontium is composed of four types of different tissue (cementum, alveolar bone periodontal ligament, and gingiva), the regeneration should allow different cell proliferation in the separated spaces. Guided tissue regeneration (GTR) and guided bone regeneration (GBR) were introduced to prevent epithelial growth into the alveolar bone space. In the past, non-absorbable membranes with basic functions such as space maintenance were used with bone graft materials. Due to several limitations of the non-absorbable membranes, membranes of the second and third generation equipped with controlled absorbability, and a functional layer releasing growth factors or antimicrobials were introduced. Moreover, tissue engineering using biomaterials enabled faster and more stable tissue regeneration. The scaffold with three-dimensional structures manufactured by computer-aided design and manufacturing (CAD/CAM) showed high biocompatibility, and promoted cell infiltration and revascularization. In the future, using the cell sheath, pre-vascularizing and bioprinting techniques will be applied to the membrane to mimic the original tissue itself. The aim of the review was not only to understand the past and the present trends of GTR and GBR, but also to be used as a guide for a proper future of regeneration therapy in the oral region.
The Vapnik-Chervonenkis dimension of cubes in R d

The Vapnik-Chervonenkis (VC) dimension of a collection of subsets of a set is an important combinatorial concept in settings such as discrete geometry and machine learning. In this paper we prove that the VC dimension of the family of d-dimensional cubes in R is ⌊(3d+ 1)/2⌋.
Unsupervised identification of the phase transition on the 2D-Ising model

We investigate deep learning autoencoders for the unsupervised recognition of phase transitions in physical systems formulated on a lattice. We use spin configurations produced for the 2-dimensional ferromagnetic Ising model in zero external magnetic field. We study numerically the relation between one latent dimension extracted from the autoencoder to the critical temperature $T_c$. The autoencoder reveals the two phases, one for which the spins are ordered and the other for which spins are disordered, reflecting the restoration of the $\mathbb{Z}_2$ symmetry as the temperature increases. For the largest volume studied, the transition between the two phases occurs very close to the theoretically extracted critical temperature. We define as a quasi-order parameter the absolute average latent dimension ${\tilde z}$, which enables us to predict the critical temperature. We show that one can build the latent susceptibility and use it to quantify the value of the critical temperature $T_c(L)$ at different lattice sizes and that these values suffer from only small finite scaling effects. We demonstrate that $T_c(L)$ extrapolates to the known theoretical value as $L \to \infty$ suggesting that the autoencoder can also be used to extract the critical temperature of the phase transition to an adequate precision.
Title Decreased brain-expressed X-linked 4 ( BEX 4 ) expressionpromotes growth of oral squamous cell carcinoma

Background: Brain-expressed X-linked (BEX) 4 is a member of BEX family. The functional role of BEX4 in oral squamous cell carcinoma (OSCC) remains unknown. Methods: Expression level of BEX family members (BEX1-5) in OSCC tissues and the paired normal epithelial were examined. Functions of epigenetic changes (DNA methylation and histone modifications) on BEX4 suppression in OSCC were examined by zebularine and trichostatin A (TSA) treatment on OSCC cell lines. Lentivector containing full-length BEX4 was used to generate OSCC cell lines with stable BEX4 expression. Effects of BEX4 expression on OSCC proliferation were monitored with xCELLigence RTCA real-time cell analyzer. BEX4-overexpressing CAL27 was implanted into nude mice to evaluate the effects on tumor growth in vivo. The signaling pathways regulated by BEX4 in OSCC was explored using human whole-transcript expression microarray. Results: Among the 5 BEX family members, BEX1 and BEX4 showed significant down-regulation in OSCC (P < 0.001). BEX3, in comparison, was overexpressed in the primary tumor. BEX4 expression in OSCC cell lines was re-activated after zebularine and TSA treatment. High BEX4 expression could suppress proliferation of OSCC in vitro. Subcutaneous tumor volume of BEX4-overexpressing CAL27 was remarkably reduced in nude mice. Microarray experiment showed that S100A family members (S100A7, S100A7A, S100A8, S100A9 & S100A12) might be the downstream targets of BEX4 in OSCC. Conclusions: BEX4 functions as tumor suppressor by inhibiting proliferation and growth of oral cancer. Decreased BEX4 contributes to the increased proliferative propensity of OSCC.
A study of Swedish-Argentinean Coalitions The Formulat ion and In terpreta t ion of Global IS

2 Index.3 1 Background.6 1.1 Problem development . 6 1.1.1 Problem definition.8 1.2 Research questions . 8 1.3 Purpose.9 1.4 Delimitations . 9 2 Frame of References . 11 2.1 Definitions of central concepts . 11 2.1.1 Soft system theory. 11 2.1.1.1 Two system paradigms . 12 2.1.2 The I in IT; Information . 13 2.1.3 Information-, technologyand systems management strategies. 13 2.1.4 Why an IS/IT strategy? 15 2.1. 5 Review. 16 2.2 Formulating the generic themes of the strategy.17 2.2.1 The soft themes. 17 2.2.1.1 The link to business strategy.18 2.2.1.2 The competitive benefits . 19 2.2.2 The informational themes. 20 2.2.2.1 The importance of knowledge management . 20 2.2.2.2 Responsibilities & roles . 21 2.2.3 The technical themes . 23 2.2.3.1 System architecture and infrastructure.24 2.2.3.2 System interaction.25 2.2.3.3 Security & risk attitude . 27 2.2.4 Review. 27 2.2. 5 Realization. 28 2.2. 6 Strategic planning. 29 2.2. 7 Review. 30 2.3 A global environment . 31 2.3.1 Global business strategy . 31 2.3.2 Global information technology. 32 2.3.3 Organizational structure of the firm . 34 2.3.3.1 Approaches to internationalization . 35 2.3.3.2 The triggers . 36 2.3. 4 Culture . 36 2.3. 5 Review. 37 2.4 Literature review questions . 38 3 Method . 39 3.
Analyzing the Impact of ITS Mobile Node Antenna HPBW on Primary Network SINR

Anna Shchesniak*, Roman Kovalchukov†, Aleksandr Ometov‡ * Department of Wireless Telecommunications, ITMO University, Birzhevaya Liniya 14, St.-Petersburg, 199034, Russia † Department of Applied Probability and Informatics, Peoples’ Friendship University of Russia (RUDN University), Miklukho-Maklaya str. 6, Moscow, 117198, Russia ‡ Lab. of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 10, 33720, Tampere, Finland
Valorization of 2,5-furandicarboxylic acid. Diels–Alder reactions with benzyne

Biomass-derived 2,5-furandicarboxylic acid was valorized by conversion to 1,4-naphthalenedicarboxylic acid via benzyne-cycloaddition and reductive aromatization in 66% overall yield (four steps). Two novel bicyclic intermediates were isolated in 80% and 98% yield. These advances diversify the potential end uses of renewable terephalic acid analogs and other furanics available from cellulose biorefinery.
Mass Estimation of Merging Galaxy Clusters

We investigate the impact of mergers on the mass estimation of galaxy clusters using N -body + hydrodynamical simulation data. We estimate the virial mass from these data and compare it with the real mass. When a smaller subcluster’s mass is larger than a quarter of that of the larger one, the virial mass can be larger than twice the real mass. The results strongly depend on the observational directions, because of an anisotropic velocity distribution of the member galaxies. We have also made X-ray surface brightness and spectroscopic-like temperature maps from the simulation data. The mass profile is estimated from these data on the assumption of hydrostatic equilibrium. In general, a mass estimation with X-ray data gives us better results than a virial mass estimation. The dependence upon observational directions is weaker than in the case of a virial mass estimation. When the system is observed along the collision axis, the projected mass tends to be underestimated. This fact should be noted, especially when
Antimicrobial and Antibiofilm Activity of D-amino acids Combined with Nanoparticles against Candida albicans

For the examined acids of D-amino, our findings indicated that D- aspartic (D-asp) acid was of high antifungal potentential, and then D-glycine. Also, the current study aimed to determine the effects of D-amino acids and nanoparticles against Candida albicans adhered cells and biofilms, results illustrated the D-asp concentration of 50 μg /ml caused inhibition as the highest, whereas the least was of D-gly 100 μg /ml of against mature bio-film cell adhesion and. The results proved that the combination of amino acid (D-glycine and D-aspartic acid) and nanoparticles (silver and lithium) at sub MIC concentrations (p≤0.05) inhibited cell adhesion and mature biofilm. Scanning electron microscope (SEM) results in observing the structure consisted of biofilm isolate C.albicans revealed, whereas therapy of D-asp had aneffect on bio-film layers of more losing loss in the layers merged of bio-film and destroyed it. On the other hand, merged lithium along the D-asp effect destroyed cells and caused the bio-film single layer survival.
The Welfare State and Equality? Stratification Realities and Aspirations in Three Welfare Regimes

Welfare regimes differ in their impact on social inequality in important ways. While previous research has explored the shape of stratification across nations and citizens’ normative attitudes towards inequality, scant attention has been given to citizens’ perceptions of actual stratification across welfare regimes. Using the 1999 International Social Survey Programme, we compare perceptions of inequality in Germany, Sweden, and the United States. More specifically, we ask how the stratification reality in each country is assessed by its citizens, whether it meets their stratification aspirations, and whether these perceptions differ systematically both across and within welfare regimes. Our results show that perceptions vary in a clear and meaningful way across countries as well as between different social groups within a given welfare regime. For instance, Americans are more likely to view society as unequal, but only slightly more likely to prefer that extent of inequality. Conversely, the Swedish clearly view their society as more equal than citizens in the United States and Germany, yet not nearly as equal as they would like it to be. Our multivariate results reveal important similarities and differences as well, such as socio-economic cleavages in the United States, and cleavages between labour market insiders and outsiders in Germany.
Understanding the Impact of Labor Laws on the Inclusive and Economic Growth and Development

Article History Published Online: 13 March 2019 This paper talks about Labor law rules, decisively on the grounds that they redress the disparity of dealing power innate in the employment relationship, may advance economic proficiency, since they check the effects of authoritative inadequacy, while moderating labor showcase dangers. The World Bank see that laws designed to help specialists frequently harm them is neither hypothetically very much informed nor exactly supported. There is a requirement for new reasoning to get away from the intellectual rigidities as of now afflicting labor law. Labor law ought to be viewed as a formative organization which has a cooperative relationship to the ascent of private enterprise in the worldwide north and is a piece of the transition to a market economy being experienced by the present low-and center salary nations.