Trend of Narratives in the Age of Misinformation

Social media enabled a direct path from producer to consumer of contents changing the way users get informed, debate, and shape their worldviews. Such a disintermediation might weaken consensus on social relevant issues in favor of rumors, mistrust, or conspiracy thinking—e.g., chem-trails inducing global warming, the link between vaccines and autism, or the New World Order conspiracy. Previous studies pointed out that consumers of conspiracy-like content are likely to aggregate in homophile clusters—i.e., echo-chambers. Along this path we study, by means of a thorough quantitative analysis, how different topics are consumed inside the conspiracy echo-chamber in the Italian Facebook. Through a semi-automatic topic extraction strategy, we show that the most consumed contents semantically refer to four specific categories: environment, diet, health, and geopolitics. We find similar consumption patterns by comparing users activity (likes and comments) on posts belonging to these different semantic categories. Finally, we model users mobility across the distinct topics finding that the more a user is active, the more he is likely to span on all categories. Once inside a conspiracy narrative users tend to embrace the overall corpus.     

Thermodynamic Characterization of the Interaction between Prefoldin and Group II Chaperonin

Prefoldin (PFD) is a hexameric chaperone that captures a protein substrate and transfers it to a group II chaperonin (CPN) to complete protein folding. We have studied the interaction between PFD and CPN using those from a hyperthermophilic archaeon, Thermococcus strain KS-1 (T. KS-1). In this study, we determined the crystal structure of the T. KS-1 PFDβ2 subunit and characterized the interactions between T. KS-1 CPNs (CPNα and CPNβ) and T. KS-1 PFDs (PFDα1-β1 and PFDα2-β2). As predicted from its amino acid sequence, the PFDβ2 subunit conforms to a structure similar to those of the PFDβ1 subunit and the Pyrococcus horikoshii OT3 PFDβ subunit, with the exception of the tip of its coiled-coil domain, which is thought to be the CPN interaction site. The interactions between T. KS-1 CPNs and PFDs (CPNα and PFDα1-β1; CPNα and PFDα2-β2; CPNβ and PFDα1-β1; and CPNβ and PFDα2-β2) were analyzed using the Biacore T100 system at various temperatures ranging from 20 to 45 ºC. The affinities between PFDs and CPNs increased with an increase in temperature. The thermodynamic parameters calculated from association constants showed that the interaction between PFD and CPN is entropy driven. Among the four combinations of PFD-CPN interactions, the entropy difference in binding between CPNβ and PFDα2-β2 was the largest, and affinity significantly increased at higher temperatures. Considering that expression of PFDα2-β2 and CPNβ subunit is induced upon heat shock, our results suggest that PFDα1-β1 is a general PFD for T. KS-1 CPNs, whereas PFDα2-β2 is specific for CPNβ.     

Electrocardiogram Data Compression Techniques for Cardiac Healthcare Systems: A Methodological Review

Objective: Globally, cardiovascular diseases (CVDs) are one of the most leading causes of death. In medical screening and diagnostic procedures of CVDs, electrocardiogram (ECG) signals are widely used. Early detection of CVDs requires acquisition of longer ECG signals. It has triggered the development of personal healthcare systems which can be used by cardio-patients to manage the disease. These healthcare systems continuously record, store, and transmit the ECG data via wired/wireless communication channels. There are many issues with these systems such as data storage limitation, bandwidth limitation and limited battery life. Involvement of ECG data compression techniques can resolve all these issues.Method: In the past, numerous ECG data compression techniques have been proposed. This paper presents a methodological review of different ECG data compression techniques based on their experimental performance on ECG records of the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) arrhythmia database.Results: It is observed that experimental performance of different compression techniques depends on several parameters. The existing compression techniques are validated using different distortion measures.Conclusion: This study elaborates advantages and disadvantages of different ECG data compression techniques. It also includes different validation methods of ECG compression techniques. Although compression techniques have been developed very widely but the validation of compression methods is still a prospective research area to accomplish an efficient and reliable performance.     

Analysis of the interaction mode between hyperthermophilic archaeal group II chaperonin and prefoldin using a platform of chaperonin oligomers of various subunit arrangements

Prefoldin is a co-chaperone that captures an unfolded protein substrate and transfers it to the group II chaperonin for completion of protein folding. Group II chaperonin of a hyperthermophilic archaeon, Thermococcus strain KS-1, interacts and cooperates with archaeal prefoldins. Although the interaction sites within chaperonin and prefoldin have been analyzed, the binding mode between jellyfish-like hexameric prefoldin and the double octameric ring group II chaperonin remains unclear. As prefoldin binds the chaperonin β subunit more strongly than the α subunit, we analyzed the binding mode between prefoldin and chaperonin in the context of Thermococcus group II chaperonin complexes of various subunit compositions and arrangements. The oligomers exhibited various affinities for prefoldins according to the number and order of subunits. Binding affinity increased with the number of Cpnβ subunits. Interestingly, chaperonin complexes containing two β subunits adjacently exhibited stronger affinities than other chaperonin complexes containing the same number of β subunits. The result suggests that all four β tentacles of prefoldin interact with the helical protrusions of CPN in the PFD–CPN complex as the previously proposed model that two adjacent PFD β subunits seem to interact with two CPN adjacent subunits.     

Antiproliferative and newly attributed apoptotic activities from an invasive marine alga: Caulerpa racemosa var. cylindracea

Caulerpa racemosa (Forsskål) is a green marine alga which spreads from tropical to warm-water regions. Due to having invasive capacity C. racemosa var. cylindracea is a well-known biological pollution in Mediterranean Sea. One of the most important secondary metabolites of C. racemosa is Caulerpenyne (CPN). In the present study, antiproliferative and apoptotic effects of C. racemosa var. cylindracea extract and purified CPN on two well-known neuroblastoma cell lines, SHSY5Y and Kelly, are investigated. The antiproliferative and, additionally, newly attributed apoptotic effects of both C. racemosa var. cylindracea extract and purified CPN on SHSY5Y and Kelly cell lines have been shown in the present study. IC₅₀ values are 0.59 ± 0.06; 1.06 ± 0.23 g wet alga/methanol and 5.64 ± 0.09; 6.02 ± 0.09 μM CPN for C. racemosa var. cylindracea extract and purified CPN on SHSY5Y and Kelly cell lines, respectively. Percentages of apoptotic cells of SHSY5Y and Kelly in 0, 0.1 and 1 μM CPN conditions were 1.00 ± 0.71, 3.00 ± 0.71 and 49.40 ± 3.78, 39.60 ± 6.19 and 78.00 ± 2.74, 69.40 ± 3.78, respectively. In conclusion, the present study shows the antiproliferative effect of C. racemosa var. cylindracea extract and newly attributed apoptotic effects of C. racemosa var. cylindracea this extract. Compared to other alkylating anticancer drugs, CPN and also C. racemosa var. cylindracea extract might be considered as an alternative native source of antitumor drugs. Inasmuch as both C. racemosa extract and CPN have shown both antiproliferative and apoptotic effects on SHSY5Y and Kelly cell lines, the CPN and CPN derivatives might be considered as multifunctional agents in cell metabolism.     

Money Walks: Implicit Mobility Behavior and Financial Well-Being

Traditional financial decision systems (e.g. credit) had to rely on explicit individual traits like age, gender, job type, and marital status, while being oblivious to spatio-temporal mobility or the habits of the individual involved. Emerging trends in geo-aware and mobile payment systems, and the resulting “big data,” present an opportunity to study human consumption patterns across space and time. Taking inspiration from animal behavior studies that have reported significant interconnections between animal spatio-temporal “foraging” behavior and their life outcomes, we analyzed a corpus of hundreds of thousands of human economic transactions and found that financial outcomes for individuals are intricately linked with their spatio-temporal traits like exploration, engagement, and elasticity. Such features yield models that are 30% to 49% better at predicting future financial difficulties than the comparable demographic models.     

Emission and Transmission Properties of a Doubly Resonant 3D Nanodisk Yagi–Uda Antenna for Wireless Optical Communications

In this paper, a novel doubly resonant three-dimensional (3D) nanodisk Yagi–Uda antenna, conceived for realizing wireless optical links within electronic circuits, is proposed. The prominent emitting properties of this nanoantenna have been deeply investigated both in the near and far field through a useful comparison with a more traditional 3D nanorod Yagi–Uda antenna. The behavior of the nanodisk antenna, both configured as a single nanoantenna and arranged in planar arrays, have been illustrated, emphasizing its improved performances with relation to crucial aspects as directional features, wavelength bands of operation, frequency tuning, and polarization influence on radiation. In particular, the single nanodisk antenna has been accurately designed to enhance the transmission feature in the near field at the wavelengths λ?=?1.3 and λ?=?1.55 μm. Also, the emission pattern of the array of nanodisk antennas has been properly tailored to ensure high peaks of directivity and narrow beam width in those ranges. Hence, efficient unidirectional angle patterns have been shaped for any operation wavelength and dimensions of the array, reaching extremely effective outcomes for a 3?×?3 array, which exhibits a maximum of directivity of 19 and 17.6 and ?3 dB points at 18° and 21° for λ?=?1.3 and λ?=?1.55 μm, respectively.     

Chaetoceros sumatranus,a member of Chaetoceros section Coarctati,sect. nov. (Bacillariophyceae)

During different surveys of phytoplankton in the Gulf of California, along the coasts of Baja California, the Gulf of Tehuantepec, and the Mexican Caribbean Sea, new records of diatoms have been made and new species (mainly of the genus Chaetoceros) have been described. This study shows that the planktonic diatom Chaetoceros sumatranus, a rather rare tropical to subtropical taxon, is a typical species of the subgenus Chaetoceros (syn.: Phaeoceros) with robust cells forming chains, thick setae, reduced apertures and small, rounded chloroplasts in cells and setae. Additionally, the species exhibits other singular characteristics, such as heteropolarity of chains, distinct bases of the setae and a pattern of several rimoportulae in every valve of the chain. These features indicate that C. sumatranus is a species closely related to C. coarctatus. Both C. coarctatus and C. sumatranus are considered to be members of the recently proposed section Coarctati (Coarctata), within the subgenus Chaetoceros. The taxonomic relationships of the two species is analyzed, and a formal Latin diagnosis of the section Coarctati is also given.     

Interacting with an artificial partner: modeling the role of emotional aspects

In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated agents. Based on the agent’s personality, attitude, and nature, and on the emotional inputs it receives, the model will determine the next emotional state displayed by the agent itself. The probabilistic and time-varying nature of the model yields rich and dynamic interactions, and an autonomous adaptation to the interlocutor. In addition, a reinforcement learning technique is applied to have one agent drive its partner’s behavior toward desired states. The model may also be used as a tool for behavior analysis, by extracting high probability patterns of interaction and by resorting to the ergodic properties of Markov chains. An early stage part of this work was presented at the 11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2007).     

Poor Transferability of Species Distribution Models for a Pelagic Predator,the Grey Petrel,Indicates Contrasting Habitat Preferences across Ocean Basins

Species distribution models (SDMs) are increasingly applied in conservation management to predict suitable habitat for poorly known populations. High predictive performance of SDMs is evident in validations performed within the model calibration area (interpolation), but few studies have assessed SDM transferability to novel areas (extrapolation), particularly across large spatial scales or pelagic ecosystems. We performed rigorous SDM validation tests on distribution data from three populations of a long-ranging marine predator, the grey petrel Procellaria cinerea, to assess model transferability across the Southern Hemisphere (25-65°S). Oceanographic data were combined with tracks of grey petrels from two remote sub-Antarctic islands (Antipodes and Kerguelen) using boosted regression trees to generate three SDMs: one for each island population, and a combined model. The predictive performance of these models was assessed using withheld tracking data from within the model calibration areas (interpolation), and from a third population, Marion Island (extrapolation). Predictive performance was assessed using k-fold cross validation and point biserial correlation. The two population-specific SDMs included the same predictor variables and suggested birds responded to the same broad-scale oceanographic influences. However, all model validation tests, including of the combined model, determined strong interpolation but weak extrapolation capabilities. These results indicate that habitat use reflects both its availability and bird preferences, such that the realized distribution patterns differ for each population. The spatial predictions by the three SDMs were compared with tracking data and fishing effort to demonstrate the conservation pitfalls of extrapolating SDMs outside calibration regions. This exercise revealed that SDM predictions would have led to an underestimate of overlap with fishing effort and potentially misinformed bycatch mitigation efforts. Although SDMs can elucidate potential distribution patterns relative to large-scale climatic and oceanographic conditions, knowledge of local habitat availability and preferences is necessary to understand and successfully predict region-specific realized distribution patterns.     

A Permutation Method to Assess Heterogeneity in External Validation for Risk Prediction Models

The value of a developed prediction model depends on its performance outside the development sample. The key is therefore to externally validate the model on a different but related independent data. In this study, we propose a permutation method to assess heterogeneity in external validation for risk prediction models. The permutation p value measures the extent of homology between development and validation datasets. If p < 0.05, the model may not be directly transported to the external validation population without further revision or updating. Monte-Carlo simulations are conducted to evaluate the statistical properties of the proposed method, and two microarray breast cancer datasets are analyzed for demonstration. The permutation method is easy to implement and is recommended for routine use in external validation for risk prediction models.     

A Property of Second Order Differential Equations with Application to Formal Kinetics

It is shown that if x(t) is the solution of a second order differential equation, with real negative characteristic roots (not necessarily distinct), which exhibits an extremum at t = T, then T|x(T)|/|A| [UNK] 1/e where A is the area under the x(t) curve. This result is compared to a special case previously derived by M. Morales and applications of the theorem to formal kinetic problems are discussed.     

Asymmetrical topology and entropy-based heterogeneous link for many-core massive data communication

As the need for data processing and communication increases, and likewise, as the number of processing cores placed on a given single chip increases, improving the performance of interconnection networks is vital. In the present work, traditional topologies are re-examined. Torus is shown to be a good structure in terms of average latency and symmetry. When using torus in combination with high process levels, it is possible to design new, yet asymmetrical topologies that can meet the high communication performance requirements of many-core processors and also suit a large variety of traffic patterns. Firstly, this paper presents two novel and torus-like topologies called xtorus and xxtorus, which are evaluated by using both theoretical analysis and experimental simulation methods. For theoretical analysis, an algorithm for computing link path diversity and link entropy is given. The analysis shows that, compared with mesh, xmesh and torus, the proposed topologies have better properties in terms of diameter, average latency, throughput, and path diversity. Although more links are added, the number of links is of the same order of magnitude with that of mesh, xmesh, and torus. Proposed topologies also take advantage of increasingly higher levels of the VLSI process. Simulations on GEM5 reveal that xtorus has better scalability, and that its average latency is less than that of mesh, xmesh and torus by significant proportions respectively, particularly when the network scale is larger. Moreover, for different traffic patterns, its performance swing is less than that of mesh. Furthermore, in the present work, the proposed topologies are both asymmetrical and based on the entropy difference of the links in the topology. A strategy for heterogeneous link design is presented, which enables designers to trade off between delay, power and area according to a concrete integrated circuit design scene.     

Assessing Discriminative Performance at External Validation of Clinical Prediction Models

Introduction

External validation studies are essential to study the generalizability of prediction models. Recently a permutation test, focusing on discrimination as quantified by the c-statistic, was proposed to judge whether a prediction model is transportable to a new setting. We aimed to evaluate this test and compare it to previously proposed procedures to judge any changes in c-statistic from development to external validation setting.

Methods

We compared the use of the permutation test to the use of benchmark values of the c-statistic following from a previously proposed framework to judge transportability of a prediction model. In a simulation study we developed a prediction model with logistic regression on a development set and validated them in the validation set. We concentrated on two scenarios: 1) the case-mix was more heterogeneous and predictor effects were weaker in the validation set compared to the development set, and 2) the case-mix was less heterogeneous in the validation set and predictor effects were identical in the validation and development set. Furthermore we illustrated the methods in a case study using 15 datasets of patients suffering from traumatic brain injury.

Results

The permutation test indicated that the validation and development set were homogenous in scenario 1 (in almost all simulated samples) and heterogeneous in scenario 2 (in 17%-39% of simulated samples). Previously proposed benchmark values of the c-statistic and the standard deviation of the linear predictors correctly pointed at the more heterogeneous case-mix in scenario 1 and the less heterogeneous case-mix in scenario 2.

Conclusion

The recently proposed permutation test may provide misleading results when externally validating prediction models in the presence of case-mix differences between the development and validation population. To correctly interpret the c-statistic found at external validation it is crucial to disentangle case-mix differences from incorrect regression coefficients.     

Genotoxic,Cytotoxic, Antigenotoxic,and Anticytotoxic Effects of Sulfonamide Chalcone Using the Ames Test and the Mouse Bone Marrow Micronucleus Test

Chalcones present several biological activities and sulfonamide chalcone derivatives have shown important biological applications, including antitumor activity. In this study, genotoxic, cytotoxic, antigenotoxic, and anticytotoxic activities of the sulfonamide chalcone N-{4-[3-(4-nitrophenyl)prop-2-enoyl]phenyl} benzenesulfonamide (CPN) were assessed using the Salmonella typhimurium reverse mutation test (Ames test) and the mouse bone marrow micronucleus test. The results showed that CPN caused a small increase in the number of histidine revertant colonies in S. typhimurium strains TA98 and TA100, but not statistically significant (p > 0.05). The antimutagenicity test showed that CPN significantly decreased the number of His⁺ revertants in strain TA98 at all doses tested (p < 0.05), whereas in strain TA100 this occurred only at doses higher than 50 μg/plate (p < 0.05). The results of the micronucleus test indicated that CPN significantly increased the frequency of micronucleated polychromatic erythrocytes (MNPCE) at 24 h and 48 h, revealing a genotoxic effect of this compound. Also, a significant decrease in polychromatic/normochromatic erythrocyte ratio (PCE/NCE) was observed at the higher doses of CPN at 24 h and 48 h (p < 0.05), indicating its cytotoxic action. CPN co-administered with mitomycin C (MMC) significantly decreased the frequency of MNPCE at almost all doses tested at 24 h (p < 0.05), showing its antigenotoxic activity, and also presented a small decrease in MNPCE at 48 h (p > 0.05). Additionally, CPN co-administered with MMC significantly increased PCE/NCE ratio at all doses tested, demonstrating its anticytotoxic effect. In summary, CPN presented genotoxic, cytotoxic, antigenotoxic, and anticytotoxic properties.     

Modeling the Biogeography of Fossil Baboons

We use a model of modern baboon socio-ecology to explore the behavioral ecology and biogeography of the extinct Plio-Pleistocene baboons (genera Parapapio, Gorgopithecus, Dinopithecus, and Papio). The model is based on the way climate affects the baboons’ time budgets, and focuses on intersite variability in behavior rather than on species-typical patterns of behavior, as most previous approaches have done. We use climate estimates for individual fossil sites based on matching modern habitats using faunal profiles and estimates of individual species’ body masses given in the literature. The model allows us to examine the minimum and maximum sizes of groups that individual species would have been able to support at particular localities, and hence the biogeography of a species on a continental scale. In doing so, the model allows us to examine which variables are most responsible for limiting a species’ ecological and biogeographic flexibility, and through this to explore a species’ capacity for coping with climate change. Feeding time is identified as the main constraint. In general, large-bodied species would have had more difficulty surviving in as wide a range of habitats as smaller-bodied species, and this may explain the limited geographical distribution of large-bodied baboons such as Gorgopithecus and Dinopithecus.     

MiR398-regulated antioxidants contribute to Bamboo mosaic virus accumulation and symptom manifestation

Virus infections that cause mosaic or mottling in leaves commonly also induce increased levels of reactive oxygen species (ROS). However, how ROS contributes to symptoms is less well documented. Bamboo mosaic virus (BaMV) causes chlorotic mosaic symptoms in both Brachypodium distachyon and Nicotiana benthamiana. The BaMV △CPN35 mutant with an N-terminal deletion of its coat protein gene exhibits asymptomatic infection independently of virus titer. Histochemical staining of ROS in mock-, BaMV-, and BaMV△CPN35-infected leaves revealed that hydrogen peroxide (H₂O₂) accumulated solely in BaMV-induced chlorotic spots. Moreover, exogenous H₂O₂ treatment enhanced yellowish chlorosis in BaMV-infected leaves. Both BaMV and BaMV△CPN35 infection could induce the expression of Cu/Zu superoxide dismutase (CSD) antioxidants at messenger RNA and protein level. However, BaMV triggered the abundant accumulation of full-length NbCSD2 preprotein (prNbCSD2, without transit peptide cleavage), whereas BaMV△CPN35 induced a truncated prNbCSD2. Confocal microscopy showed that majority of NbCSD2-green fluorescent protein (GFP) predominantly localized in the cytosol upon BaMV infection, but BaMV△CPN35 infection tended to cause NbCSD2-GFP to remain in chloroplasts. By 5′-RNA ligase-mediated rapid amplification of cDNA ends, we validated CSDs are the targets of miR398 in vivo. Furthermore, BaMV infection increased the level of miR398, while the level of BaMV titer was regulated positively by miR398 but negatively by CSD2. In contrast, overexpression of cytosolic form NbCSD2, impairing the transport into chloroplasts, greatly enhanced BaMV accumulation. Taken together, our results indicate that induction of miR398 by BaMV infection may facilitate viral titer accumulation, and cytosolic prNbCSD2 induction may contribute to H₂O₂ accumulation, resulting in the development of BaMV chlorotic symptoms in plants.

Bamboo mosaic virus manipulates reactive oxygen species scavengers to enhance replication and symptom formation.