Miracle-dz/UniFAR-FTUs huggingface dataset:
Title Knapsack-based reverse influence maximization fortarget marketing in social networks

With the dramatic proliferation in recent years, the social networks have become a ubiquitous medium of marketing and the influence maximization (IM) technique, being such a viral marketing tool, has gained significant research interest in recent years. The IM determines the influential users who maximize the profit defined by the maximum number of nodes that can be activated by a given seed set. However, most of the existing IM studies do not focus on estimating the seeding cost which is identified by the minimum number of nodes that must be activated in order to influence the given seed set. They either assume the seed nodes are initially activated, or some free products or services are offered to activate the seed nodes. However, seed users might also be activated by some other influential users, and thus, the reverse influence maximization (RIM) models have been proposed to find the seeding cost of target marketing. However, the existing RIM models are incapable of resolving the challenging issues and providing better seeding cost simultaneously. Therefore, in this paper, we propose a Knapsack-based solution (KRIM) under linear threshold (LT) model which not only resolves the RIM challenges efficiently, but also yields optimized seeding cost. The experimental results on both the synthesized and real datasets show that our model performs better than existing RIM models concerning estimated seeding cost, running time, and handling RIM-challenges. INDEX TERMS Influencemaximization, reverse influencemaximization, targetmarketing, targetmarketing cost, social network.
1 Genomics : An Evolving Science in Peanut

Genomic spcience offers new research tools to explore the function of genes and their effects on plants and animals. Arachis hypogaea is a polyploid species of relatively recent origin and molecular analyses with technologies available in the 1980s and 1990s resulted in little progress in the cultivated species because of apparent lack of molecular variation. Large numbers of polymorphisms existing in wild Arachis species led to evolutionary and gene introgression studies. High throughput genomic sequencing technologies have greatly expanded the possibilities for investigating gene function, but techniques are sufficiently expensive that most federal funding has been directed toward model species and ‘major’ crops. Peanut has lagged behind many other crops, but the number of researchers working on the species in the U.S. and internationally has greatly increased during recent years. In an effort to bring researchers who work with a number of legume crops together to discuss common goals, a national strategic planning workshop was held in 2001 which led to the U.S. Legume Crops Genomics Initiative. A second workshop was held in 2004 to develop a plan with specific objectives for cross-legume genomics research and to outline milestones for accomplishments. Specifically for peanut, a genomics strategic planning workshop was organized at Atlanta in 2004 by the American Peanut Council. A broad view of genomic science was adopted and goals were set by participants to include (a) improving the utility of genetic tools for peanut genomics research, (b) improving the efficacy of technology for gene manipulation in genomics, (c) developing a framework for assembling the peanut genetic blueprint, (d) improving knowledge of gene identification and regulation, and (e) providing bioinformatic management of peanut biological information. Teams of researchers, including molecular biologists, plant breeders, pathologists, and many other disciplines need to be developed to fully utilize the potential of genomics for peanut improvement.
Model checking applied to mobile agent system

The subject of this contribution is about use of formal specification in order to prove business properties of a mobile agent system. First, we can be described this kind of system by the use of process algebra, in particular the π-calculus language. Then, from such formal specification, we can generate semi automatically automata using an XML transformation. Finally, we compute acceptance graph to validate a formal property. This validation is assisted by the use of a tool such Uppaal from Aalborg university.
ROS Toxicity of Titanium Dioxide Nanoparticles Induced by Reactive Oxygen Species

| Titanium dioxide nanoparticles (TiO2 NPs) are one of the most widely used types of nanoparticles which can be used in food additives and drugs. However, the safety of TiO2 NPs is still controversial and the biological mechanism of TiO2 NPs-induced toxicity is not clear yet. We reviewed the research about toxicity of TiO2 NPs induced by reactive oxygen species (ROS) in vitro or in vivo. TiO2 NPs could induce significant increase of ROS and excessive free radicals, destroying redox balance. ROS-mediated oxidative stress leads to the occurrence of lipid and protein peroxidation, which in turn would induce autophagy, apoptosis, and necrosis of cells. Increased ROS production induced by TiO2 NPs was generally associated with inflammatory response, mitochondrial dysfunction, and genetic damage in vitro and in vivo. Although ROS may play an important role in TiO2 NPs-induced biological effects, the specific way it produces and its complex relationship with subsequent biological effects need to be further clarified.
The gender gap, education, and the life cycle profile in the Brazilian formal labour market

Suggested Citation: Machado, Cecilia; Neri, Marcelo Cortes; de Pinho Neto, Valdemar Rodrigues (2018) : The gender gap, education, and the life cycle profile in the Brazilian formal labour market, WIDER Working Paper, No. 2018/156, ISBN 978-92-9256-598-5, The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki, http://dx.doi. org/10.35188/UNU-WIDER/2018/598-5
1 On the Adoption Paths and Competition of Network Applications

Much of the growth of the Internet has been driven by new network technologies and applications. The successful adoption of theses applications greatly depend on the underlying diffusion process as governed by the system parameters and network externality effects. Developing guidelines for judicious deployment of such network applications require a study of their adoption path and behaviors. A diffusion model based on individual decision making allows us to study the mechanics of the adoption process. Prior work have shown that the commonly observed S-shaped curves for equilibrium adoption path can be observed in products where users are differentiated over the stand-alone benefits but are homogeneous in their valuation of network benefits. However, many new network applications (eg, Skype, Flickr, etc.) cannot be accurately modeled with such user utility models. In such applications, users are differentiated in their valuation of network benefits and derive less significant stand-alone benefits. In this work we identify three alternative utility functions that are more suitable for network applications, and show that the S-shaped diffusion curves can be observed as an approximation to discontinuous equilibrium adoption path even in these cases. Additionally, for each of these different utility functions, we use simulations to explore the impact the competition between two similar network applications when converters are present. We identify a range of interesting behaviors like the potentially harmful effects of converters on the individual technology and the overall market penetration levels, and the creation of instability in adoption dynamics, etc. The presence of such unexpected behaviors in the competition process therefore underlines the need for more careful policy decisions on the part of the network application providers.
MRAM: from STT to SOT, for security and memory

Spin Transfer Torque Magnetic Random Access Memory (STT-MRAM) is one of the leading candidates for embedded memory convergence in advanced technology nodes. It is particularly adapted to low-power applications, requiring a decent level of performance. However, it also have interests for secured applications. The PRESENT cipher is a lightweight cryptographic algorithm targeting ultra-low power applications such as the Internet of Things or RFID. This paper aims to combine this low power cryptographic algorithm with the STT-MRAM which main feature is its low consumption. This new generation of ciphers is very interesting for normally-off applications. Actually, for these specific applications hybrid CMOS/STT-MRAM ciphers consume less power than pure CMOS cryptographic algorithms.Although the performance of STT-MRAM is much better than standard non-volatile technologies like flash, it suffers from limitations for high-speed applications. A new MRAM technology based on Spin-Orbit Torque (SOT) was recently discovered and offers better performance in terms of speed and endurance, at the expense of a slightly degraded density. In this paper, we also propose a comparative study of several architectures of SOT-MRAM memories for evaluating the possible advantages of this NV technology for high-speed applications.
Transition in transition out (TiTo): Using peer mentoring to assist graduating students transition beyond university

Contemplating entry into the workforce can be a daunting process for students as they prepare to complete their undergraduate degree. Final year psychology students can find this process particularly challenging, given that many do not proceed into postgraduate psychology programs and are left to contemplate their options. It is clear that assisting students in this period of transition and improving their work preparedness skills is crucial. This project used a repeated-measures within-subject design to deliver a peer mentoring program across two Australian universities, one face-to-face (RMIT University) and one online (University of Southern Queensland). In the program, final year psychology students mentor first year students and, through this process, develop important work preparedness skills that can be used in their later transition into the workplace. This paper will focus on the impact of the program on the third year student experience, including their preparedness for life beyond their undergraduate degree. The paper will report on the pre- and post-test scores for third year students on measures exploring the five senses of success, learning approaches, preparedness for entry into the workforce, and perceptions of peer mentoring.
Cervical biopsy-cytology correlation. A College of American Pathologists Q-Probes study of 22 439 correlations in 348 laboratories.

OBJECTIVE: To study the diagnostic correlation between cervical cytology specimens and corresponding surgical biopsies. DESIGN AND SETTING: College of American Pathologists Q-Probes laboratory quality improvement study in 348 laboratories. MAIN OUTCOME MEASURES: Sensitivity, specificity, and positive predictive value of cervicovaginal cytology diagnosis. RESULTS: Statistical analysis of 22 439 paired cervicovaginal cytology--cervical biopsy specimens reveals a sensitivity of 89.4%, specificity of 64.8%, and predictive value of a positive cytology of 88.9%. The majority of discrepancies were attributed to cytology or biopsy sampling errors. Routinely providing the patient's recent cervical cytology report to the surgical pathologist at the time the biopsy was examined resulted in improved sensitivity. Correlations for cytology specimens obtained at the time of biopsy revealed lower sensitivity and higher specificity than for those obtained at a time prior to the biopsy. CONCLUSIONS: We have defined current statistical expectations for cervical cytology-biopsy correlation, reasons for noncorrelation, and have provided recommendations for quality improvement.
Scalable immersive audio for virtual environments

This thesis discusses the history of game sound and how it developed to become increasingly more immersive and realistic by accounting for the spatial aspects of sound. It then compares several 3D sound technologies before continuing on to present a custom spatial sound system that uses the highly parallel nature of modern graphics processing units (GPUs) to process large amounts of data for simulated sound propagation. In a real-time virtual reality game environment, the system is able to handle dynamic geometry and movable sound sources in full 3D at interactive rates. To test the implementation, I developed a VR-compatible video game for desktop and mobile platforms with an emphasis on play-by-sound gameplay mechanics. Results demonstrated low overhead on all devices tested when used with the appropriate pathfinding backend (CPU/GPU). Additional testing yielded that the GPU part of the system is capable of processing several thousand 3D paths at interactive rates.
Multistage Stochastic Programming with Parametric Cost Function Approximations

A widely used heuristic for solving stochastic optimization problems is to use a deterministic rolling horizon procedure which has been modified to handle uncertainty (e.g. buffer stocks, schedule slack). This approach has been criticized for its use of a deterministic approximation of a stochastic problem, which is the major motivation for stochastic programming. This dissertation recasts this debate by identifying both deterministic and stochastic approaches as policies for solving a stochastic base model, which may be a simulator or the real world. Stochastic lookahead models (stochastic programming) require a range of approximations to keep the problem tractable. By contrast, so-called deterministic models are actually parametrically modified cost function approximations which use parametric adjustments to the objective function and/or the constraints. These parameters are then optimized in a stochastic base model which does not require making any of the types of simplifications required by stochastic programming. This dissertation formalizes this strategy, describes a gradient-based stochastic search strategy to optimize policies, and presents a series of energy related numerical experiments to illustrate the efficacy of this approach.
Safety profile of fluvastatin.

Abstract Statins are regarded as a well-tolerated class of drugs, particularly when compared with some of the older lipid-modifying agents, which have poor rates of compliance. Despite some early concern, the incidence of lens opacities observed in clinical studies involving statin use is no different from that in a normal ageing population. Similarly, the occurrence of insomnia with lipophilic agents appears to have been overemphasised and is not a clinically significant problem, irrespective of the statin under study. Fluvastatin is the newest representative of this class of agents; it has already been evaluated in thousands of patients who have hyperlipidaemia with and without additional risk factors. In controlled clinical studies, the incidence of the majority of adverse events observed with fluvastatin therapy is no higher than that seen with placebo, with the exception of gastrointestinal disturbances (known to be common to all stains). Nonetheless, the incidence of these effects seen with fluvastatin treatment is noted to be lower than that associated with cholestyramine or fibrate use. Elevations in levels of liver transaminases (aspartate aminotransferase and alanine aminotransferase) have been reported with fluvastatin therapy but have led to discontinuation of treatment with the same frequency as with placebo. Elevations in creatine kinase levels as a cause of discontinuing fluvastatin are not more frequent than with placebo. Myopathy and rhabdomyolysis have not been reported with fluvastatin therapy, and myalgia does not occur more frequently than with placebo. In terms of drug interactions, fluvastatin does not interfere with the efficacy of antihypertensive agents. In controlled clinical trials, the overall reported discontinuation rate due to adverse events noted with fluvastatin therapy is 3.3%, which is not significantly distingushable from the rate associated with placebo (3.5%)2.
Hypoxia Inducible Factors in Alcoholic Liver Disease: A Dissertation

Chronic intake of alcohol can result in a range of pathology in the liver. Whilst the earliest changes observed with chronic ethanol, including the accumulation of lipid, or steatosis, are readily reversible upon cessation of alcohol consumption, longer exposure to ethanol may achieve more complex disease states including steatohepatitis, fibrosis, and cirrhosis that can cause irreversible damage and progress to fulminant hepatic failure. A key concept in the pathogenesis of alcoholic liver disease is that chronic ethanol primes the liver to increased injury through an interplay between hepatocytes and non-parenchymal cells, chiefly immune cells, of the liver. These relationships between hepatocytes and non-parenchymal cell types in alcoholic liver disease are reviewed in Chapter 1A. The Hypoxia Inducible Factors are a set of transcription factors that classically have been described as affecting a homeostatic response to conditions of low oxygen tension. Alcoholic liver disease is marked by increased hepatic metabolic demands, and some evidence exists for increased hepatic tissue hypoxia and upregulation of hypoxia-inducible factor mRNA with chronic alcohol. However, the biological significance of these findings is unknown. In Chapter 1B, we review the literature on recent investigations on the role of hypoxia inducible factors in a broad array of liver diseases, seeking to find common themes of biological function In subsequent chapters, we investigate the hypothesis that a member of the hypoxiainducible-factor family, HIF1! , has a role in the pathogenesis of alcoholic liver disease. In Chapter 2, we establish a mouse model of alcoholic liver disease and report data confirming HIF1! activation with chronic ethanol. We demonstrate that HIF1! protein, mRNA, and DNA binding activity is upregulated in ethanol-fed mice versus pair-fed mice, and that some v
The Recruit Assessment Program (RAP) Experience With Adverse Childhood Experiences (ACE) Questions

Abstract : The Recruit Assessment Program (RAP) study was begun in June 2001 to assess the feasibility of collecting computerized comprehensive baseline health information from new recruits, including data on demographics, medical history, psychosocial history, substance abuse, and family history. Past evaluations of from the Adverse Childhood Experiences (ACE) study have found a relationship between such experiences and adverse adult health outcomes, including substance abuse, attempted suicide, and depression. Thus, the ACE questions were added to the RAP questionnaire in June 2002. Focus group experiences with ACE questions on the RAP instrument, completed by Marine Corps recruits in San Diego and Army recruits in Fort Jackson, revealed no specific concerns. In extensive post-focus group implementation of RAP (>100,000 questionnaires completed overall), ACE questions also appeared well accepted and completed without problems. Reliability metrics, overall, indicate that ACE question were likely assessing what they were intended to assess among RAP respondents. Reasonably strong concordance was noted for internal reliability within the instrument. Test-retest results were robust, especially when the instrument was completed with only a short time interval between testing. Results from these, and other analyses, will be helpful to DoD policymakers considering the value of ACE questions in future military questionnaires.
Development of the system to predict the absorption coefficient of the classroom acoustic using modified Zernike moments and radial basic function (RBF)

The development of a system to predict absorption coefficient using modified Zernike moments and Radial Basic Function (RBF) for classroom is a system based on the system developed using Matlab simulation. This project is designed to predict the absorption coefficient of the surface material and reverberation time in the classroom’s for wall concrete, floors and ceilings. In this project, the modified Zernike moments of image processing is applied to extract image features. RBF is used to identify the absorption coefficient of the material. For the reverberation time, Sabine equation is used to calculate the reverberation time for model dimension and reverberation time of the classroom at UTHM. In addition, Matlab Graphical User Interface (GUI) was developed in order to determine the effectiveness of this system. The proposed system has been trained with 200 samples of surface materials from 10 classrooms in UTHM. The system is tested with 30 samples of surface material images, in which the surface has never been tested using the system created before. The results of predicting the absorption coefficient can predict almost 90% accurately. To sum up, the developed system can predict the absorption coefficient and the reverberation time of classroom at UTHM.
Development of Self-regulated Learning Skill Rating Scale for College Students

Objective:To development a rating scale for self-regulated learning skill of college students. Method: SLSRCS (self-regulated learning skill rating scale for college students) consisted of 5 dimensions: motivation, methods, times; performance and environments. 353 college students were tested with the scale.Result:Item analysis showed that SLSRCS had satisfactory item discrimination. The test-retest reliability was 0.88. Cronbach α was 0.95. The validity was satisfying.Conclusion:The structure, reliability and validity of SLSRCS are acceptable.
Māori whānau experiences of a neonatal intensive care unit: Waikato hospital

This thesis topic emerged from my personal experience of having a premature baby in the Neonatal Intensive Care Unit (NICU) at Waikato hospital. My whānau and I felt like aliens; culturally inept, and totally alone during our time in the NICU. It was not until I spoke to other Māori mothers that I realised our stories were similar. I sought to understand how other Māori whānau members made sense of their own experiences, how they coped/adjusted to the experience of having a premature baby in an NICU and at home, and the sources of support they utilised. This study did not seek to delineate parents‟ experiences but attempted to allow whānau members to share their stories and explore their experiences of having a premature or special-care baby in an NICU. The event of childbirth and the placing of a natural event into a pathological illness model through necessity has repercussions for the ways in which women experience and make sense of the event. Knowing this, six whānau stories were collected comprising of four individual interviews with the mothers and two whānau hui (focus groups). My use of a narrative methodology and kaupapa Māori approach enabled all the participants the opportunity to share their stories on how they make sense of their own experiences without the frame of pathological illness. The findings present each whānau story autonomously, to highlight the key events that occur once the birth of a premature/special-care infant is admitted into an NICU. The participants‟ narratives followed their transitions through an NICU and return home. The narrative analysis and discussion confirmed that this research had been successful in creating a space for the mothers and their whānau members to share their stories. The discussion combined their narratives to reveal that the effective coping strategies did not remove the sources of stress but rather lessened the impact of the stresses. In situations where sources of stress were unable to be removed or reduced, participants perceptions of ineffective coping translated into narratives of negative perceptions of the NICU, and birthing experience.