Miracle-dz/UniFAR-FTUs huggingface dataset:
From Retweet to Believability: Utilizing Trust to Identify Rumor Spreaders on Twitter

Ubiquitous use of social media such as microblogging platforms brings about ample opportunities for the false information to diffuse online. It is very important not just to determine the veracity of information but also the authenticity of the users who spread the information, especially in time-critical situations like real-world emergencies, where urgent measures have to be taken for stopping the spread of fake information. In this work, we propose a novel machine learning based approach for automatic identification of the users spreading rumorous information by leveraging the concept of believability, i.e., the extent to which the propagated information is likely to be perceived as truthful, based on the trust measures of users in Twitter's retweet network. We hypothesize that the believability between two users is proportional to the trustingness of the retweeter and the trustworthiness of the tweeter, which are two complementary measures of user trust and can be inferred from retweeting behaviors using a variant of HITS algorithm. With the retweet network edge-weighted by believability scores, we use network representation learning to generate user embeddings, which are then leveraged to classify users into as rumor spreaders or not. Based on experiments on a very large real-world rumor dataset collected from Twitter, we demonstrate that our method can effectively identify rumor spreaders and outperform four strong baselines with large margin.
Several fusion genes identified by whole transcriptome sequencing in a spindle cell sarcoma with rearrangements of chromosome arm 12q and MDM2 amplification

Spindle cell tumors are clinically heterogeneous but morphologically similar neoplasms that can occur anywhere, mostly in adult patients. They are treated primarily with surgery to which is often added adjuvant or neoadjuvant radiation. Sub-classification of spindle cell sarcomas requires integration of histology, clinicopathological parameters, immunohistochemistry, cytogenetics (including fluorescence in situ hybridization) and/or molecular genetics. Some of the tumor subtypes are characterized by the presence of distinct chromosomal translocations and fusion genes. When no signs of differentiation are seen, the diagnosis by exclusion becomes undifferentiated spindle cell sarcoma. Cytogenetic, RNA sequencing and RT-PCR analyses were performed on a case of spindle cell sarcoma. The karyotype of the primary tumor was 46,X,del(X)(p? 11p? 22), der(12)(12pter→12q? 22::12q? 15→ q? 22::16p11→16pter),-16,+r(12). MDM2 was found amplified in both the primary tumor and a metastasis. RNA-Seq of the primary tumor identified four fusion genes, PTGES3-PTPRB, HMGA2-DYRK2, TMBIM4-MSRB3 and USP15-CNTN1, in which all the partner genes map to the q arm of chromosome 12. In material from the metastasis, RT-PCR detected the PTGES3-PTPRB, HMGA2-DYRK2 and TMBIM4-MSRB3 whereas no USP15-CNTN1 fusion transcript was found. Because MDM2 amplification and the fusion transcripts PTGES3-PTPRB, HMGA2-DYRK2 and TMBIM4-MSRB3 were found both in the primary tumor and in the metastasis, they are components of the same clone and may be involved both in initiation and progression of the tumor. Which of them is pathogenetically primary remains unknown.
Strengths and vulnerabilities of a sample of gay and bisexual male adolescents in Puerto Rico

La adolescencia es un proceso de desarrollo de multiples dimensiones que incluyen los significados sociales que se le atribuyen colocando a la juventud en un limbo social; no son ninos o ninas pero todavia no son adultos. Es importante contextualizar las dificultades que enfrentan los adolescentes gay debido a su identidad sexual, su vulnerabilidad social asociada a su particular etapa de desarrollo y su etnicidad. Exploramos las vulnerabilidades y fortalezas de una muestra de jovenes adolescentes gay puertorriquenos. Participaron 61 jovenes gay y bisexuales de alto nivel educativo, que residian en Puerto Rico. Examinamos los niveles de depresion, el apoyo social percibido, el uso de alcohol y drogas y la conducta sexual. Los resultados demuestran que el 45% de los participantes informaron altos niveles de depresion. Sin embargo los participantes tambien mostraron un bajo consumo de alcohol y drogas, poca o ninguna actividad sexual de riesgo y una gran satisfaccion con el apoyo social recibido. Los participantes mostraron gran resiliencia asociada a sus redes de apoyo social, el uso consistente de proteccion en las conductas sexuales de alto riesgo y capacidad para integrar su orientacion sexual en su desarrollo personal en una sociedad latina y heterosexista. A pesar de que los resultados no pueden generalizarse a toda la poblacion de jovenes adolescentes gay en Puerto Rico, esta informacion es util para apoyar la necesidad de intervenciones a nivel de comunidad que manejen las fortalezas de esta poblacion.
D-script model for synthesis and analysis of emotional speech

In the present issue we discuss a theoretical model for processing of emotional speech during text analysis and synthesis. The model is developed for description of speech influence in affective mass media texts and also applies to several other types of emotional communication, including conflict, complaint and speech aggression. The model follows H-CogAff architecture of cognitive models and distinguishes units for “rational” inference (r-scripts) and units for “emotional” processing of meaning (d-scripts). We claim that certain semantic components can stimulate emotional processing, activating d-scripts and suppressing possible rational inference (r-scripts) – the same semantic components appear in emotional text during text synthesis. Such “affective” semantic components are described as starting models of d-scripts. The model allows to describe semantic properties of “emotional” texts and (to certain extent) to model types of speech behaviour in emotional situations.
Robust video fingerprinting based on hierarchical symmetric difference feature

The piracy of copyrighted digital content over the Internet infringes copyrights and damages the digital content industry. Accordingly, identifying and monitoring technology on the online content service like fingerprinting is getting valuable through the explosion of digital content sharing. This paper proposes a robust video fingerprinting feature to identify a modified video clip from a large scale database. Hierarchical symmetric difference feature is proposed in order to offer efficient video fingerprinting. The feature is robust and pairwise independent against various video modifications such as compression, resizing, or cropping. Moreover, videos undergoing a transformation such as flipping or mirroring can be identified by simply disordering the bit pattern of fingerprints. The performance of the proposed feature is extensively experimented on 6,482 hours of database and the experimental results show that the proposed fingerprinting is efficient and robust against various modifications.
Inhibition of BET Bromodomain Targets Genetically Diverse Glioblastoma

Purpose: Glioblastoma is refractory to conventional therapies. The bromodomain and extraterminal domain (BET) proteins are epigenetic readers that selectively bind to acetylated lysine residues on histone tails. These proteins recently emerged as important therapeutic targets in NUT midline carcinoma and several types of hematopoietic cancers. In this study, the therapeutic potential of a novel BET bromodomain inhibitor, JQ1, was assessed in a panel of genetically heterogeneous glioblastoma samples. Experimental Design: The antineoplastic effects of JQ1 were shown using ex vivo cultures derived from primary glioblastoma xenograft lines and surgical specimens of different genetic background. The in vivo efficacy was assessed in orthotopic glioblastoma tumors. Results: We showed that JQ1 induced marked G1 cell-cycle arrest and apoptosis, which was phenocopied by knockdown of individual BET family members. JQ1 treatment resulted in significant changes in expression of genes that play important roles in glioblastoma such as c-Myc, p21CIP1/WAF1, hTERT, Bcl-2, and Bcl-xL. Unlike the observations in some hematopoietic cancer cell lines, exogenous c-Myc did not significantly protect glioblastoma cells against JQ1. In contrast, ectopically expressed Bcl-xL partially rescued cells from JQ1-induced apoptosis, and knockdown of p21CIP1/WAF1 attenuated JQ1-induced cell-cycle arrest. Cells genetically engineered for Akt hyperactivation or p53/Rb inactivation did not compromise JQ1 efficacy, suggesting that these frequently mutated signaling pathways may not confer resistance to JQ1. Furthermore, JQ1 significantly repressed growth of orthotopic glioblastoma tumors. Conclusion: Our results suggest potentially broad therapeutic use of BET bromodomain inhibitors for treating genetically diverse glioblastoma tumors. Clin Cancer Res; 19(7); 1748–59. ©2013 AACR.
Mixture Proportion Estimation via Kernel Embeddings of Distributions

Mixture proportion estimation (MPE) is the problem of estimating the weight of a component distribution in a mixture, given samples from the mixture and component. This problem constitutes a key part in many "weakly supervised learning" problems like learning with positive and unlabelled samples, learning with label noise, anomaly detection and crowdsourcing. While there have been several methods proposed to solve this problem, to the best of our knowledge no efficient algorithm with a proven convergence rate towards the true proportion exists for this problem. We fill this gap by constructing a provably correct algorithm for MPE, and derive convergence rates under certain assumptions on the distribution. Our method is based on embedding distributions onto an RKHS, and implementing it only requires solving a simple convex quadratic programming problem a few times. We run our algorithm on several standard classification datasets, and demonstrate that it performs comparably to or better than other algorithms on most datasets.
Scatternet Formation Algorithm in Multi-hop Environment based on Bionics

There are very few scatternet formation algorithms among Bluetooth devices in multi-hop dynamical environment at present. The paper proposes a new BBSF(based on bionics scatternet formation) algorithm, using the ad hoc property of swarm intelligence clustering pattern from the research of living being's group behaviors. BBSF achieves the merging of scatternet subnets using a tree-like but 'not true tree' topology structure, and achieves the control of the merging of scatternet concisely and efficiently. It provides a new design method of distributed dynamical net formation in multi-hop environment. Using NS-2 (network simulator) and it's expand plug-in component, the paper simulates the BBSF algorithm in different environments and conditions, and compares its property with those of a traditional net forming algorithm of the Bluetooth scatternet. The result shows the better property of BBSF.
Towards morphological sound description using segmental models

We present an approach to model the temporal evolution of audio descriptors using Segmental Models (SMs). This method allows to segment a signal as a sequence of primitives, constituted by a set of trajectories defined by the user. This allows one to explicitly model the time duration of primitives, and to take into account the time dependence between successive signal frames, contrary to standard Hidden Markov Models. We applied this approach to a database of violin playing. Various types of glissando and dynamics variations were specifically recorded. Our results shows that our approach using Segmental Models provides a segmentation that can be easily interpreted. Quantitatively, the Segmental Models performed better than standard implementation of Hidden Markow Models.
Derivatives Trading and the Volume-Volatility Link in the Indian Stock Market

This paper investigates the issue of temporal ordering of the range-based volatility and volume in the Indian stock market for the period 1995-2007. We examine the dynamics of the two variables and their respective uncertainties using a bivariate dual long-memory model. We distinguish between volume traded before and after the introduction of futures and options trading. We find that in all three periods the impact of both the number of trades and the value of shares traded on volatility is negative. This result is in line with the theoretical argument that a marketplace with a larger population of liquidity providers will be less volatile than one with a smaller population. We also find that (i) the introduction of futures trading leads to a decrease in spot volatility, (ii) volume decreases after the introduction of option contracts and, (iii) there are signifcant expiration day effects on both the value of shares traded and volatility series.
Towards Integrative Glycoinformatics for Glycan Based Biomarker Cancer Research and Discovery

Despite some recent successes in deciphering new cancer molecular makers, there is still a clear and continual need to develop new technologies that help characterizing existing biomarkers or facilitate discovery of new biomarkers. An important systems biology opportunity on this respect is provided by understanding the glycosylation changes associated with cancer. Indeed, interest in cancer glycosylation has expanded over the past decade and large amount of data relevant to cancer glycosylation has been accumulating rapidly. Furthermore, new and improved sophisticated glycoinformatics tools, methods and databases for glycan analysis now offer the opportunity to investigate this data for understanding the role that glycans play in cancer glycosylation. Here we summarize developments of glycoinformatics tools to support analysis of cancer glycosylation and experimental glycoproteomics approaches. In addition, we discuss challenges faced by glycoinformatics for the integration and interrogation of disparate high-throughput glycan data sets in order to assimilate technologies and better address cancer glycosylation. We also provide examples of integrative glycoinformatics approaches that lead to a better understanding of cancer glycosylation as a complex cellular process.
The Concept of anxiety

For the first time in English the world community of scholars is systematically assembling and presenting the results of recent research in the vast literature of Soren Kierkegaard. Based on the definitive English edition of Kierkegaard's works by Princeton University Press, this series of commentaries addresses all the published texts of the influential Danish philosopher and theologian.
Log-Linear Models for Wide-Coverage CCG Parsing

This paper describes log-linear parsing models for Combinatory Categorial Grammar (CCG). Log-linear models can easily encode the long-range dependencies inherent in coordination and extraction phenomena, which CCG was designed to handle. Log-linear models have previously been applied to statistical parsing, under the assumption that all possible parses for a sentence can be enumerated. Enumerating all parses is infeasible for large grammars; however, dynamic programming over a packed chart can be used to efficiently estimate the model parameters. We describe a parellelised implementation which runs on a Beowulf cluster and allows the complete WSJ Penn Treebank to be used for estimation.
How Frames Can Undermine Support for Scientific Adaptations: Politicization and the Status-Quo Bias

The politicization of science is a phenomenon that has sparked a great deal of attention in recent years. Nonetheless, few studies directly explore the implications of how frames that highlight its politicization affect public support for scientific adaptations. We present a novel theory to study how frames that highlight politicization affect support for using nuclear power, and test our hypotheses with two experiments. We find, in one study, that politicizing science reduces support for nuclear power and renders arguments about the environmental benefits of nuclear energy invalid, regardless of whether there is a reference to consensus scientific evidence. We find, in a second study, that reference to the potential health risks associated with using nuclear power also decreases support, in the presence of additional frames that highlight either science’s benefits or its politicization. In the end, our findings suggest that a status quo bias prevails that can, under some circumstances, serve as a significant impediment to generating public support for scientific innovations.
Pseudomonas aeruginosa attachment and biofilm development in dynamic environments

Biofilm formation by Pseudomonas aeruginosa is hypothesized to follow a developmental pattern initiated by attachment to a surface followed by microcolony formation and mature biofilm development. Swimming and twitching motility are important for attachment and biofilm development in P. aeruginosa. However, it is clear that many P. aeruginosa strains lacking swimming motility exist as biofilms in the lungs of cystic fibrosis patients. Consequently, we have developed a dynamic attachment assay to identify motility‐independent attachment‐defective mutants. Using transposon mutagenesis, we identified 14 novel dynamic attachment‐deficient (dad) mutants including four mutants specific to dynamic assay conditions (dad specific). Two of the dad‐specific mutants contain insertions in genes involved in sensing and responding to external stimuli, implying a significant impact of external factors on the biofilm developmental pathway. Observations of initial attachment and long‐term biofilm formation characterized our dad mutants into two distinct classes: biofilm delayed and biofilm impaired. Biofilm‐delayed mutants form wild‐type biofilms but are delayed at least 24 h compared with the wild type, whereas biofilm‐impaired mutants never form wild‐type biofilms in our assays. We propose a dynamic model for attachment and biofilm formation in P. aeruginosa including these two classes.
Optimal process control

The purpose of this paper is to review basic concepts of optimal process control. We define the formulation and basic elements of optimal process control which are models of physical processes, constraints, objective function, functional, history of optimization, and practical approaches to optimal control implementation. The classification comprises basic theory, methods, and techniques. The theory will be complemented by concrete examples from practice. Finally, the structures for optimal process control (feed forward and feedback optimal control) will be given in the paper.
Control Mechanisms of Perceived Phase Error on Synchronized Tapping Toward Communication Support Systems based on Psychological Timing Control

In recent years, information technology rapidly increases the opportunity of human communication. However, communication supporting systems, such as tele-presence and CSCW, were mainly developed based on physical interaction and not on psychological one. In this article, we analyzed the psychological interaction mechanism of human timing control using synchronization tapping task. Particularly, we focused on the phase error correction, and the following 2 facts were found: 1) perceived timing is not coincident with physical timing; and 2) the perceived timing is controlled by two types of phase error correction mechanisms. One requires attentional resources and the other does not. These results suggest that timing control for human communication support system should be based on his/her perceived timing, and such psychological timing control mechanism is useful for realizing the human-like communication systems
Telling stories : the Vietnam War documentary

This is an original piece of research that addresses a much neglected area in documentary film. The study encompasses 26 documentaries produced by 10 different countries and examines them in terms of international perspectives, documentary form and function, and political debates. The first part of the thesis explores the international political context and the various rivalries and alliances that played a part in the conflict. The second part provides a detailed examination of the 26 documentaries providing both textual and contextual analysis. The third part is devoted to film theory and cultural theory.
Assessment of Enzyme Inhibition: A Review with Examples from the Development of Monoamine Oxidase and Cholinesterase Inhibitory Drugs

The actions of many drugs involve enzyme inhibition. This is exemplified by the inhibitors of monoamine oxidases (MAO) and the cholinsterases (ChE) that have been used for several pharmacological purposes. This review describes key principles and approaches for the reliable determination of enzyme activities and inhibition as well as some of the methods that are in current use for such studies with these two enzymes. Their applicability and potential pitfalls arising from their inappropriate use are discussed. Since inhibitor potency is frequently assessed in terms of the quantity necessary to give 50% inhibition (the IC50 value), the relationships between this and the mode of inhibition is also considered, in terms of the misleading information that it may provide. Incorporation of more than one functionality into the same molecule to give a multi-target-directed ligands (MTDLs) requires careful assessment to ensure that the specific target effects are not significantly altered and that the kinetic behavior remains as favourable with the MTDL as it does with the individual components. Such factors will be considered in terms of recently developed MTDLs that combine MAO and ChE inhibitory functions.
Feminist Family Therapy and the Narrative Approach

The shared metaphor of "story" is one of the many similarities between feminist family therapy and the narrative approach as explicated by Michael White. White's model, while providing access to a feminist view, has too general a focus to contain a feminist agenda for social change. Our approach to therapy combines both perspectives. The narrative approach allows us to introduce gender issues while minimizing client defensiveness. We also educate clients about inequalities that patriarchy structures into relationships. In this way, we address client problems at a personal level, while introducing the need for broad social change.
Analysis of a summary network of co-infection in humans reveals that parasites interact most via shared resources

Simultaneous infection by multiple parasite species (viruses, bacteria, helminths, protozoa or fungi) is commonplace. Most reports show co-infected humans to have worse health than those with single infections. However, we have little understanding of how co-infecting parasites interact within human hosts. We used data from over 300 published studies to construct a network that offers the first broad indications of how groups of co-infecting parasites tend to interact. The network had three levels comprising parasites, the resources they consume and the immune responses they elicit, connected by potential, observed and experimentally proved links. Pairs of parasite species had most potential to interact indirectly through shared resources, rather than through immune responses or other parasites. In addition, the network comprised 10 tightly knit groups, eight of which were associated with particular body parts, and seven of which were dominated by parasite–resource links. Reported co-infection in humans is therefore structured by physical location within the body, with bottom-up, resource-mediated processes most often influencing how, where and which co-infecting parasites interact. The many indirect interactions show how treating an infection could affect other infections in co-infected patients, but the compartmentalized structure of the network will limit how far these indirect effects are likely to spread.