Miracle-dz/UniFAR-FTUs huggingface dataset:
Co-constructed health narratives during a ‘media event’: The case of the first Dutch Twitter heart operation

Objective This article examines the relationship between microblogging and the development of health narrative through the lens of an institution-initiated media event, the first live-tweeted heart operation in the Netherlands. It specifically addresses the question, how does health narrative take shape on a microblog and other (social) media, through the combination of self-initiated status updates, reactions to questions and short conversations with followers? Methods A combination of qualitative and quantitative data analysis was used to identify prominent themes in the tweets and trace the complex process by which the narrative took shape. The results presented here are derived from the qualitative analysis. Results There are four recurring health narrative themes in the tweets: (a) new challenges to professionalism; (b) mutual exchanges of information, support and advice; (c) increasingly personal (and public) details; and (d) questions about ‘resuming normalcy’. The special nature of this case also reveals interesting features, such as the multiple narrative starting points and the phenomenon of ‘tweeting by proxy’, and raises a number of critical questions regarding this type of use of social media in healthcare. Conclusions In the discussion we reflect on whether/how microblogged health narratives are really ‘new’ and on the implications of this single case for understanding the relationship between social media, health narrative and the changing relationships between information technologies, actors and institutions. We further examine this case as an example of what Lupton has deemed the ‘digital patient experience economy’, in reference to patients increasingly being encouraged to post experiences of their illness and encounters with the healthcare system to online platforms, where these shared experiences become valorised and monetised.
Degradation of Chrysene by Enriched Bacterial Consortium

Chrysene is a high molecular weight (HMW), polycyclic aromatic hydrocarbon (PAH) known for its recalcitrance and carcinogenic properties and sparsely soluble (0.003 mg/L) in aqueous medium. Due to these refractory properties, bioavailability of chrysene is very low and therefore is persistence in the environment escaping the metabolism by microorganisms. However, few bacterial and fungal strains are reported to degrade chrysene, but with lower efficiency, requiring additional/extraneous carbon sources (co-substrates) for it’s complete mineralization. In this study, development, enrichment and characterization of bacterial consortium ASDC, consisting of Rhodococcus sp. , ASDC1; Bacillus sp. ASDC2; and Burkholderia sp. ASDC3 were reported. Chrysene was utilized as a sole source of carbon and energy by the consortium, having maximum degradation rate of 1.5 mg/L/day and maximum growth rate of 0.125/h, under optimized conditions of pH 7.0, 37°C under aeration of 150 rpm on gyrating shaking. Chrysene degradation was unaffected in presence of other PAHs like pyrene, fluoranthene, naphthalene, phenanthrene, benzene, toluene and xylene, individually as well as in mixture. The results revealed that peptone, ammonium nitrate, sodium succinate have enhanced the chrysene degradation rate during first 24 h of experimentation, which was later on inhibited with increase in incubation time. The chrysene degradation was inhibited by mercury even at lower concentration (1 mM). The results also revealed that SDS has enhanced its degradation by 5.2-fold for initial 24 h of growth, but with increasing in the incubation period, it decreases by 1.2-fold on 7th day of experimentation. The HPLC studies suggested that chrysene was degraded through phthalic acid pathway by the consortium ASDC and the stoichiometric measurements indicated the complete mineralization of chrysene. The flask scale results were validated at simulated microcosm models, where enriched consortium ASDC exhibited maximum degradation (96%) in polluted, non-sterile soil sediment, indicating that consortial strains along with indigenous metabolism showed synergistic metabolism for degradation of chrysene. Thus, the above study revealed the useful enrichment of bacterial community for synergistic degradation of PAHs (chrysene) which could be further exploited for in situ remediation of PAH contaminated sites.
Attractiveness of mobile games — A case study of tile-matching games

What exact charms exist in the Tile-matching games on mobile devices to capture so many players' hearts? What are attractiveness factors behind Tile-matching games on mobile devices? This is the core issue that this study hopes to explore. Therefore, we first have to understand players' feelings and preferences toward Tile-matching games. Then we need to correspond these abstract feelings with concrete design elements. This study based on Miryoku Engineering and Evaluation Grid Method to extract frequent users' feelings and corresponded these feelings with the concrete elements for game designing. Moreover, this study grouped players according to involvement and adopted multiple regression analysis to explore whether players of different involvement groups had different cognitions to attractiveness in Tile-matching games on mobile devices.
Coupled laboratory and field investigations resolve microbial interactions that underpin persistence in hydraulically fractured shales

Significance Microorganisms persisting in hydraulically fractured shales must maintain osmotic balance in hypersaline fluids, gain energy in the absence of electron acceptors, and acquire carbon and nitrogen to synthesize cell building blocks. We provide evidence that that cofermentation of amino acids (Stickland reaction) meets all of these organismal needs, thus functioning as a keystone metabolism in enriched and natural microbial communities from hydraulically fractured shales. This amino acid-based metabolic network can be rationally designed to optimize biogenic methane yields and minimize undesirable chemistries in this engineered ecosystem. Our proposed ecological framework extends to the human gut and other protein-rich ecosystems, where the role of Stickland fermentations and their derived syntrophies play unrecognized roles in carbon and nitrogen turnover. Hydraulic fracturing is one of the industrial processes behind the surging natural gas output in the United States. This technology inadvertently creates an engineered microbial ecosystem thousands of meters below Earth’s surface. Here, we used laboratory reactors to perform manipulations of persisting shale microbial communities that are currently not feasible in field scenarios. Metaproteomic and metabolite findings from the laboratory were then corroborated using regression-based modeling performed on metagenomic and metabolite data from more than 40 produced fluids from five hydraulically fractured shale wells. Collectively, our findings show that Halanaerobium, Geotoga, and Methanohalophilus strain abundances predict a significant fraction of nitrogen and carbon metabolites in the field. Our laboratory findings also exposed cryptic predatory, cooperative, and competitive interactions that impact microorganisms across fractured shales. Scaling these results from the laboratory to the field identified mechanisms underpinning biogeochemical reactions, yielding knowledge that can be harnessed to potentially increase energy yields and inform management practices in hydraulically fractured shales.
Stochastic natural gradient descent draws posterior samples in function space

Recent work has argued that stochastic gradient descent can approximate the Bayesian uncertainty in model parameters near local minima. In this work we develop a similar correspondence for minibatch natural gradient descent (NGD). We prove that for sufficiently small learning rates, if the model predictions on the training set approach the true conditional distribution of labels given inputs, the stationary distribution of minibatch NGD approaches a Bayesian posterior near local minima. The temperature $T = \epsilon N / (2B)$ is controlled by the learning rate $\epsilon$, training set size $N$ and batch size $B$. However minibatch NGD is not parameterisation invariant and it does not sample a valid posterior away from local minima. We therefore propose a novel optimiser, "stochastic NGD", which introduces the additional correction terms required to preserve both properties.
Information cartography based on syncretic representation of scientific papers

In this paper, we challenged the traditional way of information retrieval and proposed information cartography in scientific research domain which generates an information map for users to mitigate information overload in current systems. A legible information map embodies not only the results retrieved by a fine-designed mechanism, but also the complex relationships between them. Our framework of information cartography consists of three parts: document representation, network reconstruction and network compression. A novel syncretic representation learning method(SR) was proposed to learn a low-dimensional representation for each document, where a double-layer Skip- Gram model was leveraged to absorb heterogeneous information simultaneously. We carried out a series of experiments on CORA dataset to demonstrate the satisfying performance of SR for tasks such as text classification and link prediction. We also showed the effectiveness of our network compression method in preserving connectivity while optimizing legibility. Finally, pilot user studies manifested that our information map indeed improved the experience of information retrieval.
Recent advances in the management of lymphangioleiomyomatosis

Lymphangioleiomyomatosis is a rare disorder that predominantly affects women and is characterized by progressive cystic changes in the lung, leading to gradually worsening shortness of breath and lung function impairment. Pleural complications such as pneumothorax and chylothorax commonly occur in these patients. Lymphangioleiomyomatosis can occur as a form of lung involvement in tuberous sclerosis complex or as a sporadic form (without tuberous sclerosis complex). Etiology in both forms of this disease centers on mutations in the tuberous sclerosis genes. Advances in our understanding of the regulatory role of tuberous sclerosis gene products (hamartin/tuberin) in the mechanistic target of rapamycin (mTOR) signaling pathway have led to the identification of effective therapy (mTOR inhibitors) for a rare disorder, once considered uniformly fatal. Here, we summarize the evolution of current concepts regarding lymphangioleiomyomatosis with an emphasis on recent advances and unresolved issues.
Master Data Management Maturity Model for the Microfinance Sector in Peru

The microfinance sector has a strategic role since they facilitate integration and development of all social classes to sustained economic growth. In this way the actual point is the exponential growth of data, resulting from transactions and operations carried out with these companies on a daily basis, becomes imminent. Appropriate management of this data is therefore necessary because, otherwise, it will result in a competitive disadvantage due to the lack of valuable and quality information for decision-making and process improvement. The Master Data Management (MDM) give a new way in the Data management, reducing the gap between the business perspectives versus the technology perspective In this regard, it is important that the organization have the ability to implement a data management model for Master Data Management. This paper proposes a Master Data management maturity model for microfinance sector, which frames a series of formal requirements and criteria providing an objective diagnosis with the aim of improving processes until entities reach desired maturity levels. This model was implemented based on the information of Peruvian microfinance organizations. Finally, after validation of the proposed model, it was evidenced that it serves as a means for identifying the maturity level to help in the successful of initiative for Master Data management projects
Prevalence and predictors of hypoglycemia in South Korea.

OBJECTIVES This study aimed to identify the prevalence and predictors of hypoglycemia in patients with type 2 diabetes (T2D) using South Korea's nationwide healthcare database. STUDY DESIGN Retrospective cohort and nested case-control analyses were conducted to estimate the prevalence and predictors of hypoglycemia, respectively. METHODS A cohort of 2,273,481 patients with T2D was followed to estimate the 1-year prevalence of hypoglycemia. Total hypoglycemia was identified using outpatient, inpatient, or emergency department visit data containing a diagnosis code for hypoglycemia. Severe hypoglycemia was defined as an event with inpatient admission or emergency care. Within the T2D cohort, cases with hypoglycemia were identified, and up to 4 controls were randomly selected after matching by sex, age, and cohort entry date. Possible predictive factors included insurance type, medical institution type, hypoglycemic history, antidiabetic drugs, Charlson Comorbidity Index score, and diabetic complications. We conducted conditional logistic regression analyses to estimate adjusted odds ratios (aORs) and 95% CIs to identify predictors of hypoglycemia. RESULTS The prevalences of total and severe hypoglycemia were 1.38% and 0.96%, respectively. Those with a history of hypoglycemia had the highest risk for a further hypoglycemic event (aOR, 16.71; 95% CI, 15.62-17.88). Use of combination therapy with insulin and sulfonylurea was highly associated with severe hypoglycemia (aOR, 15.09; 95% CI, 13.60-16.74). Among diabetic complications, the presence of nephropathy was the greatest predictive factor (aOR, 1.79; 95% CI, 1.73-1.85). CONCLUSIONS Patients with a history of hypoglycemia or receiving combined antidiabetic therapy must be appropriately managed to achieve optimal glycemic control without significant risk of hypoglycemia.
Corporate diversification, information asymmetry and firm performance: Evidence from Tehran Stock Exchange

Article history: Received July 28, 2013 Received in revised format 22 October 2013 Accepted 28 October 2013 Available online December 19 2013 The aim of this paper is to review the effect of corporate diversification on information asymmetry and firm performance. To test the research hypothesis, a sample of 47 companies listed in Tehran Stock Exchange over the period 2008-2012 based on panel method was taken. In these models, the presence or absence of effects models (fixed or random) is reviewed and finally the best model is estimated. The results indicate that corporate diversification using entropy influenced on information asymmetry and firm performance. With controlling other variables, the results indicate when ENTROP increases one unit, STDRET increases 0.49 unit but with controlling other variables, the results indicate when ENTROP increases or decreases one unit, ROA does not change.
Using social media for health research: Methodological and ethical considerations for recruitment and intervention delivery

As the popularity and diversity of social media platforms increases so does their utility for health research. Using social media for recruitment into clinical studies and/or delivering health behavior interventions may increase reach to a broader audience. However, evidence supporting the efficacy of these approaches is limited, and key questions remain with respect to optimal benchmarks, intervention development and methodology, participant engagement, informed consent, privacy, and data management. Little methodological guidance is available to researchers interested in using social media for health research. In this Tutorial, we summarize the content of the 2017 Society for Behavioral Medicine Pre-Conference Course entitled ‘Using Social Media for Research,’ at which the authors presented their experiences with methodological and ethical issues relating to social media-enabled research recruitment and intervention delivery. We identify common pitfalls and provide recommendations for recruitment and intervention via social media. We also discuss the ethical and responsible conduct of research using social media for each of these purposes.
Real Options Models for Proactive Uncertainty-Reducing Mitigations and Applications in Cybersecurity Investment Decision-Making

Managerial flexibility, or real options, embedded in information technology IT investments allows resolving uncertainty not only by passively waiting for new information to arrive during deferral but also by proactively deploying mitigations. Classic real options models fail to account for the value of proactive uncertainty-reducing mitigations, since they assume that uncertainty is fixed or follows a continuous, time-dependent dynamics. We present adaptations of these models that address this shortcoming. In our models, zero or more mitigations can be applied in varying sequences, mitigations have impulse-type effects on uncertainty reduction, and mitigations' effects can be complementary, substitutive, or synergetic. These traits make the value of mitigations path dependent and conditional on the uncertainty-reduction ability of earlier deployed mitigations. We operationalize the effects of mitigations in the IT and cybersecurity investment contexts. We also apply the adapted models to a real-world cybersecurity investment case from a Japanese company. Investments in multiple cybersecurity mitigations are typically treated as having a multiplicative effect that leads to overinvestment in mitigations. Our models avoid this problem, permitting to lower cybersecurity costs without compromising on loss prevention. More generally, our models allow implementing the real options logic more fully by supporting both passive and proactive IT investment risk management. The online appendix is available at https://doi.org/10.1287/isre.2017. 0714 .
Endocrine mucin‐producing sweat gland carcinoma: A study of 11 cases with molecular analysis

Endocrine mucin‐producing sweat gland carcinoma (EMPSGC) is a rare, low‐grade adnexal neoplasm that most commonly involves the eyelid. Analogous to solid papillary carcinoma of the breast, it probably represents a precursor lesion to mucinous carcinoma. Here, we describe 11 cases of EMPSGC with molecular analysis.
Remotely checking data integrity with high efficiency

Public verification is the main technique for remotely checking data integrity, which ensures that the storage server stores the outsourced data correctly. However, there remain several security and efficiency issues with current bilinear-map-based public verification schemes. First, they are vulnerable to various attacks if deployed improperly, which shows their security needs to be further analyzed. Second, current schemes employ two modular exponentiation operations in their signing algorithm, which will put a heavy burden on data publishers when signing a lot of data blocks. Third, the computation cost on verifying server's side depends on the number of data blocks, which is not suitable for verifying a variety of data blocks. To address these issues, this paper classifies the design goals, details the system and attack models, and proposes an optimized public verification scheme with privacy-preserving.
The impact of alerting designs on air traffic controller’s eye movement patterns and situation awareness

Abstract This research investigated controller’ situation awareness by comparing COOPANS’s acoustic alerts with newly designed semantic alerts. The results demonstrate that ATCOs’ visual scan patterns had significant differences between acoustic and semantic designs. ATCOs established different eye movement patterns on fixations number, fixation duration and saccade velocity. Effective decision support systems require human-centered design with effective stimuli to direct ATCO’s attention to critical events. It is necessary to provide ATCOs with specific alerting information to reflect the nature of the critical situation in order to minimise the side effects of startle and inattentional deafness. Consequently, the design of a semantic alert can significantly reduce ATCOs’ response time, therefore providing valuable extra time in a time-limited situation to formulate and execute resolution strategies in critical air safety events. The findings of this research indicate that the context-specified design of semantic alerts could improve ATCO’s situational awareness and significantly reduce response time in the event of Short Term Conflict Alert (STCA) activation which alerts to two aircraft having less than the required lateral or vertical separation. Practitioner Summary: Eye movements are closely linked with visual attention and can be analysed to explore shifting attention whilst performing monitoring tasks. This research has found that context-specific designed semantic alerts facilitated improved ATCO cognitive processing by integrating visual and auditory resources. Semantic designs have been demonstrated to be superior to acoustic design by directing the operator’s attention more quickly to critical situations.Abbreviations: APW: area proximity warning; ASRS: aviation safety reporting system; ATC: air traffic control; ATCO: air traffic controller; ATM: air traffic management; COOPANS: cooperation between air navigation service providers; HCI: human-computer interaction; IAA: irish aviation authority; MSAW: minimum safe altitude warning; MTCD: medium-term conflict detection; SA: situation awareness; STCA: short term conflict alert; TP: trajectory prediction
CIMAvax-EGF, a therapeutic non-small cell lung cancer vaccine

ABSTRACT Introduction: Lung cancer represents the most common cause of cancer death worldwide. While the prognosis remains poor, immunotherapy is giving a positive impact on survival. Cancer vaccines represent a form of active immunotherapy that historically has given modest results in terms of efficacy. The overexpression of the EGFR by tumor cells was reported in more than half of cases of lung cancer, representing a mechanism of cancerogenesis. CIMAvax-EGF, a therapeutic vaccine for non-small cell lung cancer (NSCLC) developed in Cuba, consists of a human recombinant EGF able to induce antibodies against the autologous EGF, resulting in serum EGF withdrawal and lower EGF-EGFR interaction. Area covered: We critically reviewed the existing literature about CIMAvax-EGF, from the Pilot studies to the efficacy controlled studies. We also overviewed the ongoing trials. Expert opinion: CIMAvax-EGF demonstrated to be safe and immunogenic. In a phase III randomized study CIMAvax-EGF, used as a switch maintenance treatment after platinum-based chemotherapy, did not significantly improve survival. Current data are not sufficient to recommend CIMAvax-EGF as a treatment option for advanced stage NSCLC. Further studies, conducted in a context of worldwide standardized clinical practice, are needed to better define if a subpopulation of patients can benefit from the vaccination.