Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint resource allocation and computation offloading in mobile edge computing for SDN based wireless networks

The rapid growth of the internet usage and the distributed computing resources of edge devices create a necessity to have a reasonable controller to ensure efficient utilization of distributed computing resources in mobile edge computing (MEC). We envision the future MEC services, where quality of experience (QoE) of the services is further enhanced by software defined networks (SDNs) capabilities to reduce the application-level response time without service disruptions. SDN, which is not proposed specifically for edge computing, can in fact serve as an enabler to lower the complexity barriers involved and let the real potential of edge computing be achieved. In this paper, we investigate the task offloading and resource allocation problem in wireless MEC aiming to minimize the delay while saving the battery power of user device simultaneously. However, it is challenging to obtain an optimal policy in such a dynamic task offloading system. Learning from experience plays a vital role in time variant dynamic systems where reinforcement learning (RL) takes a long term goal into consideration besides immediate reward, which is very important for a dynamic environment. A novel software defined edge cloudlet (SDEC) based RL optimization framework is proposed to tackle the task offloading and resource allocation in wireless MEC. Specifically, Q-learning and cooperative Q-learning based reinforcement learning schemes are proposed for the intractable problem. Simulation results show that the proposed scheme achieves 31.39% and 62.10% reduction on the sum delay compared to other benchmark methods such as traditional Q-learning with a random algorithm and Q-learning with epsilon greedy.
Influence of Plant Density and Genotype on Potato Minituber Production from Microshoots and Microtubers

Seed tubers represent the major cost for potato production in Egypt. With the introduction of tissue culture technology, it becomes possible to obtain virus-free potato plantlets or microtubers in vitro for subsequent use in minituber production. These two stock materials were examined for potato minituber production inside a glasshouse at different planting densities (5, 10, 15 and 20) plantlets or microtubers per 20 cm pots filled with soilless medium during the period 2014-2016. Several potato genotypes were also screened for their minituber and seed tuber yield potentials. Results indicated that with the increase in planting density, minituber yield and number per pot and per m2 were increased, but mean minituber weight decreased, in the two-tested cultivars 'Diamant' and 'Universa'. Significant differences among 19 potato genotypes were detected on their minituber yield characteristics, including minituber number and yield per plant, and average minituber weight, using microtubers as starting plant materials. Among 19 tested genotypes, the newly introduced potato cultivars 'Universa', 'Safrane', and 'Triomphe' outper-formed the rest of cultivars in minituber production. Seed potato production in the field was successfully achieved from the culture of the obtained minitubers, and the cv. 'Safrane' recorded the highest seed tuber yield and mean tuber fresh weight, while the cvs. Agria and Nicola recorded the highest numbers of seed tubers per plant.
The relationship of different measures' information content of company size in determining abnormal stock returns companies listed on Tehran Stock Exchange

Objective: The relation of information content of organization different criteria on abnormal stock returns of companies within Tehran stock exchange is studied in this paper. Methodology: The scientific purpose of this study is to review the impact of accounting fundamental variables on explaining the value and returns of firms and its applicable purpose is to review the effective factors on stock price in order to help liberal analyzers to choose appropriate stocks for investment through providing effective factors on abnormal stock returns within Tehran stock exchange. Results: Research data are the combination of financial variables of 120 firms participating in Tehran stock exchange in the period of recent 10 years (2004 – 2014). Research methodology, data method was panel and hypotheses test was through Fisher. Conclusion: Obtained results indicate negative and significant relation of future abnormal returns of firms with the asset value and the value of total asset market. In another analysis it is indicated that in case of considering market value to two variables of asset value and market value of total assets, the strength of model explanation and value relation will not be changed. In addition, abnormal stock returns in portfolio of firms with low and high total asset value and firms portfolio with high and low total asset market value are different.
Earnings , Dividends and Reporting Aggressiveness : An Examination of Firms ’ Behavior in the Era of Fair Value Accounting

This study explores changes in the dividend policy of companies following the adoption of fair value accounting rules. Using a sample of Israeli firms that adopted IFRS, we document a dramatic increase in the payout ratios of firms that distributed dividends based on revaluation gains from 32% of realized earnings in the pre-IFRS period to 115% in the post-IFRS period. Furthermore, we reveal that firms paying dividends from unrealized earnings are more aggressive both in their book and tax reporting behaviors. We demonstrate that this increased aggressiveness is associated with the payment of cash dividends from paper profits.
A P ] 1 5 O ct 2 01 9 ON THE CAUCHY PROBLEM OF 3 D INCOMPRESSIBLE NAVIER-STOKES-CAHN-HILLIARD SYSTEM

In this paper, we are concerned with the Cauchy problem for 3D incompressible Navier-Stokes-Cahn-Hilliard equations. First, applying a refined pure energy method, assuming ‖u0‖H1 +‖φ0‖H1 +‖∇φ0‖H1 is sufficiently small, we obtain the global well-posedness of solutions. Moreover, the optimal decay rates of the higher-order spatial derivatives of the solution are obtained, the Ḣ (0 ≤ s ≤ 1 2 ) negative Sobolev norms is shown to be preserved along time evolution and enhance the decay rates.
Evaluation of Quality Parameters for Medical Image Fusion

In this paper, we evaluate three variants of new quality parameters for medical image fusion. The aims of our evaluated parameters are based on an image quality index. We perform several simulations which show that our parameters are compliant with subjective evaluations and can therefore be used to compare different image fusion methods or to find the best parameters for a given fusion algorithm.
Characteristics of Older Patient with Haemophilia

1.1 Life expectancy in patients with haemophilia Until 1960 haemophilia was a life-threatening disease with limited treatment options as splints, icepacks and bed rest. With the discovery of factor concentrates the life of haemophilia patients changed dramatically better. They improved quality of life and prolong life expectancy (Mejia-Carvajal, 2006). Median life expectancy in males with severe haemophilia was 11 years in the early 20th century, increased to the range of 55 to 63 years in the 1970s (Plug, 2006; Darby, 2007). By the early 1980s life expectancy was almost 68 years (Chorba, 2001; Oldenburg, 2009). By 1990s the life expectancy in US haemophiliacs dropped to 49 years because of HIV infections. The decline in HIV-related mortality in HIV-infected persons with haemophilia reflected improvements in highly active anti-retroviral therapy (HAART). In 2001, haemophiliac life expectancy in The Netherlands reached 67 years (74 years for those without blood borne virus infections) and by 2007, the overall haemophilic life expectancy was reported to be 71 years in Italy (Plug, 2006; Tagliaferri, 2010) that is approaching the general male population. About 2% of haemophilia A and B patients surveyed in US comprehensive haemophilia treatment centres are 65 years of age or older and 15% are 45 years or older (Philipp, 2010).
The effect of corporate reputation , based on accounting transparency , on earnings management in public companies on B 3

Received in 3/8/2019. Ask to Revise on 4/7/2019. Resubmitted on 5/8/2019. Accepted on 5/18/2019 by Dr. Márcia Martins Mendes De Luca (Assistant Editor) and by Dr. Gerlando Augusto Sampaio Franco de Lima (Editor). Published on 6/21/2019. Organization responsible for the journal: Abracicon Abstract Objective: According to the Signaling theory, reputation derives from the issuing of signals that reduce the information asymmetry and the opportunistic management actions. In that sense, this study aims to investigate the relation between corporate reputation, based on transparency, and earnings management in public companies listed on B3 (Brasil, Bolsa, Balcão). Method: The sample consists of 231 companies (1,355 observations) from the group of all non-financial companies listed on B3 between 2010 and 2017. Earnings management is measured by Jones (1991) and modified by Dechow, Ge and Schranda (1995), Larcker and Richardson (2004) and Kothari, Leone and Wasley (2005). Corporate reputation (REP) is a binary variable, based on the Transparency Trophy. Results: Based on accounting transparency, a negative relationship exists between corporate reputation and discretionary accruals, mitigating opportunistic and aggressive earnings management attitudes, enhancing the quality of the financial information, so that the study hypothesis is not rejected. Therefore, a good reputation represents a signal for the shareholders, creditors and other stakeholders with regard to the financial information quality, consequently granting the companies a competitive advantage, and signaling that companies renowned for their accounting transparency are a good investment. Contributions: The corporate reputation generates a competitive advantage and superior performance. Hence, the companies would tend not to use opportunistic and aggressive practices like earnings management. The study signals that the companies should focus on the quality of their financial reports to achieve a corporate reputation and, thus, maintain a competitive advantage and superior performance.
Nerve, Muscle, and Synaptogenesis

The vertebrate skeletal neuromuscular junction (NMJ) has long served as a model system for studying synapse structure, function, and development. Over the last several decades, a neuron-specific isoform of agrin, a heparan sulfate proteoglycan, has been identified as playing a central role in synapse formation at all vertebrate skeletal neuromuscular synapses. While agrin was initially postulated to be the inductive molecule that initiates synaptogenesis, this model has been modified in response to work showing that postsynaptic differentiation can develop in the absence of innervation, and that synapses can form in transgenic mice in which the agrin gene is ablated. In place of a unitary mechanism for neuromuscular synapse formation, studies in both mice and zebrafish have led to the proposal that two mechanisms mediate synaptogenesis, with some synapses being induced by nerve contact while others involve the incorporation of prepatterned postsynaptic structures. Moreover, the current model also proposes that agrin can serve two functions, to induce synaptogenesis and to stabilize new synapses, once these are formed. This review examines the evidence for these propositions, and concludes that it remains possible that a single molecular mechanism mediates synaptogenesis at all NMJs, and that agrin acts as a stabilizer, while its role as inducer is open to question. Moreover, if agrin does not act to initiate synaptogenesis, it follows that as yet uncharacterized molecular interactions are required to play this essential inductive role. Several alternatives to agrin for this function are suggested, including focal pericellular proteolysis and integrin signaling, but all require experimental validation.
Saliency Map Optimization

This Bachelor Thesis is divided in two main parts, both related with human visual attention. The first of them consists in the creation of new dataset which contains eye-tracking and head-position data of the users visualizing 360° immersive videos in a virtual reality environment. The second part comprises the design, development, training and testing of a model based on deep learning for the prediction of saliency maps in real time using Convolutional Neural Networks.
Age-Independent Adult Mortality in a Long-Lived Herb

Relative to mammals and birds, little is known about the mortality trajectories of perennial plants, as there are few long-term demographic studies following multiple yearly cohorts from birth to death. This is particularly important because if reproductively mature individuals show actuarial senescence, current estimations of life spans assuming constant survival would be incorrect. There is also a lack of studies documenting how life history trade-offs and disturbance influence the mortality trajectories of plants. We conducted Bayesian survival trajectory analyses (BaSTA) of a 33-year individual-based dataset of Pulsatilla vulgaris ssp. gotlandica. Mortality trajectories corresponded to “Type III” survivorship patterns, with rapidly decreasing annual mortality rates for young plants, but with constant mortality for reproductively mature individuals. We found trade-off effects resulting in a cost of growth for non-reproductive plants but no apparent cost of reproduction. Contrarily to our expectation, young plants that had previously shrunk in size had a lower mortality. However, accounting for trade-offs and disturbance only had minor effects on the mortality trajectories. We conclude that BaSTA is a useful tool for assessing mortality patterns in plants if only partial age information is available. Furthermore, if constant mortality is a general pattern in polycarpic plants, long-term studies may not be necessary to assess their age-dependent demography.
Radical and progressive innovations in the management of maize in Calpan , Puebla-Mexico

The objective of the work was to evaluate the use of radical and progressive innovations used in the management of maize and its impact on yields per hectare. A questionnaire was applied to a sample of 110 maize producers in the municipality of Calpan, the application rate of radical innovations (IAIR), the degree of use of progressive innovations (GEIP) were calculated and they were typified to producers in low, medium and high, according to the IAIR and GEIP. The results indicate that the GEIP average was higher (60.1) than the IAIR (40.2), that there is a positive relationship between GEIP and yields, but not between the IAIR and yields. The variables that had a positive influence on the IAIR were schooling and the level of income, while for the GEIP were the number of members in the family and the age of the producer.
How to Explain a Patch: An Empirical Study of Patch Explanations in Open Source Projects

Abstract-Bugs are inevitable in software development and maintenance processes. Recently a lot of research efforts have been devoted to automatic program repair, aiming to reduce the efforts of debugging. However, since it is difficult to ensure that the generated patches meet all quality requirements such as correctness, developers still need to review the patch. In addition, current techniques produce only patches without explanation, making it difficult for the developers to understand the patch. Therefore, we believe a more desirable approach should generate not only the patch but also an explanation of the patch. To generate a patch explanation, it is important to first understand how patches were explained. In this paper, we explored how developers explain their patches by manually analyzing 300 merged bug-fixing pull requests from six projects on GitHub. Our contribution is twofold. First, we build a patch explanation model, which summarizes the elements in a patch explanation, and corresponding expressive forms. Second, we conducted a quantitative analysis to understand the distributions of elements, and the correlation between elements and their expressive forms.
A follow up-study of probation service-approved premises residents in contact with mental health services

Abstract The paper examines the service contact at 6–9-month follow-up of residents of seven probation service-approved premises with a dedicated specialist mental health service. The service is designed to assess, provide brief interventions, and promote appropriate linkage with mainstream mental health services upon discharge. Findings suggest that linkage with mainstream services was robust with a significant proportion in contact at time of follow-up. The high levels of non-psychotic mental health needs suggest services of this type may have an important role in ensuring the needs of mentally disordered offenders are appropriately met and that the engagement of primary care services is essential.
The psychiatric risk gene NT5C2 regulates AMPK signalling

Citation for published version (APA): Duarte, R. R. R. , Bachtel, N. , Cotel, M-C. , Lee, S. H. , Selvackadunco, S. , Watson, I. A. , . Srivastava, D. P. (2019). The Psychiatric Risk Gene NT5C2 Regulates Adenosine Monophosphate-Activated Protein Kinase Signaling and Protein Translation in Human Neural Progenitor Cells. Biological psychiatry, 86(2), 120-130. https://doi.org/10.1101/468546, https://doi.org/10.1016/j.biopsych. 2019.03. 977, https://doi.org/10.1016/j.biopsych. 2019.03. 977, https://doi.org/10.1016/j.biopsych. 2019.03. 977
Adrenergic receptor (ADR) genotype influences the effects of strength training on mid-thigh intermuscular fat

Title of Document: ADRENERGIC RECEPTOR(ADR) GENOTYPE INFLUENCES THE EFFECTS OF STRENGTH TRAINING ON MID-THIGH INTERMUSCULAR FAT Lili Yao, Doctor of Philosophy, 2006 Directed By: Professor Ben F. Hurley Department of Kinesiology Department of Nutrition and Food Science Sarcopenia results in an increase in intermuscular fat (IMF) and low density muscle (LDM), which is associated with adverse health and functional consequences. Although strength training (ST) is considered an intervention of choice for the prevention and treatment of sarcopenia, little is known about its effect on IMF or LDM. Regional fat alterations resulting from exercise interventions may be influenced by adrenergic receptor (ADR) β2 Gln27Glu and ADRα2b Glu/Glu gene polymorphisms. To examine the influence of this polymorphism on mid-thigh IMF, LDM and normal density muscle (NDM), we studied 46 older men and 52 older women before and after a 10-week single leg knee extension strength training (ST) program. The ST program resulted in a substantial increase in one-repetition maximum (1-RM) strength (P = 0.0001) and NDM (P = 0.0001), but no significant changes in IMF and LDM in the whole group. However, IMF was significantly reduced with ST in subjects carrying ADRβ2 Glu27 (-2.3 cm, P = 0.028), but no significant change was observed with ADRβ2 Glu27 noncarriers (+1.5 cm, P = 0.14). The decrease in IMF in those with the ADRα2b Glu allele was approaching significance (-1.9 cm, P = 0.066), and significantly different (-2.9 cm, P = 0.043) from a nonsignificant increase in IMF in the ADRα2b Glu allele noncarriers. ADRβ2 Glu27 carriers who also carried the ADRα2b Glu allele experienced a significant loss of IMF with ST (-3.8 cm ± 1.6, P = 0.018). These results suggest that the response of IMF to ST is influenced by ADRβ2 Gln27Glu and ADRα2b Glu/Glu polymorphisms. ADRENERGIC RECEPTOR (ADR) GENOTYPE INFLUENCES THE EFFECTS OF STRENGTH TRAINING ON MID-THIGH INTERMUSCULAR FAT.
Impact of health education on knowledge and practices about menstruation among adolescent school girls of rural part of district Ambala, Haryana

Background: This study was undertaken to assess the impact of health education on knowledge regarding menstruation, misconceptions related to it as the prevalence of RTI is still very high in India. Aims: To study the existing level of status of hygiene, knowledge and practices regarding menstruation among adolescent school girls and to assess the change in their knowledge level and practices after health education. Materials A community-based pre and post interventional study was conducted among 200 adolescents’ girls of class IX and X of rural part of district Ambala. Multistage random sampling technique was used to draw the representative sample. A pre-tested questionnaire was administered and later health education regarding menstruation and healthy menstrual practices was imparted to the girls. Post-test was done after 3 months to assess the impact of health education. Pre- and post-intervention, data were compared using the paired t test, z test for proportions, chi-squared test for paired proportions. Difference between Proportions of the pre-post data and its 95% confidence interval has been calculated of the findings. SPSS for Windows software version 20 (IBM, Chicago, USA) have been used for data analysis. The level of significance has been considered at p value 0.05) while in the post-test preceding health education, significant improvements were observed in their practices. Conclusion: Overall significant improvement was found in knowledge and practices regarding menstruation among adolescent school girls.
‘Student voice’ has become a defining feature of the contemporary higher education landscape and continues to take an increasingly prominent role in higher education policy

For example, while Faux et al. (2006) defined ‘student voice’ as a process leading to empowerment through active engagement with those in positions of power, McLeod (2011) noted that ‘student voice’ is a complex concept that can be viewed in association with transformative practice, democratic or participatory systems; the promotion of inclusion and diversity or support for student right. Fletcher (2006: 1), on the other hand, widely defined ‘student voice’ as the “individual and collective perspectives and actions of young people within the context of learning and education that can include, but is not limited to, active or passive participation, knowledge, voting, activism, service, opinions, leadership, and ideas. ”
Convolutional Neural Collaborative Filtering with Stacked Embeddings

Recommender System plays an important role in keeping people engaged with online services, and collaborative filtering is a main technique for recommendation. With the immense influence of deep learning, there is a growing interest in applying it to collaborative filtering. Existing methods have applied different ways to learn the user-item interaction function, however, most of these methods have limitation in modeling user-item correlations because they ignore the original user-item information and the large size of embeddings. In this work we propose Stacked Embedding Convolutional Neural Collaborative Filtering (SECNCF), a novel neural collaborative filtering architecture. The idea is to create a pedrail by stacking embeddings which are composed of user embedding, item embedding and latent factors. We apply convolutional neural network (CNN) above the pedrail layer to capture the local features of dimension correlations. This method is good at extracting rich local dimension correlations of embeddings and is scalable for modeling user-item interactions. Extensive experiments on three public accessible datasets show that our method makes significant improvement over the state-of-the-art methods.