Miracle-dz/UniFAR-FTUs huggingface dataset:
Facebook Advertising Across an Engagement Spectrum: A Case Example for Public Health Communication

Background The interpersonal, dialogic features of social networking sites have untapped potential for public health communication. We ran a Facebook advertising campaign to raise statewide awareness of Michigan’s newborn screening and biobanking programs. Objective We ran a Facebook advertising campaign to stimulate public engagement on the complex and sensitive issue of Michigan’s newborn screening and biobank programs. Methods We ran an 11-week, US $15,000 Facebook advertising campaign engaging Michigan Facebook users aged 18-64 years about the state’s newborn screening and population biobank programs, and we used a novel “engagement spectrum” framework to contextualize and evaluate engagement outcomes ranging from observation to multi-way conversation. Results The campaign reached 1.88 million Facebook users, yielding a range of engagement outcomes across ad sets that varied by objective, content, budget, duration, and bid type. Ad sets yielded 9009 page likes (US $4125), 15,958 website clicks (US $5578), and 12,909 complete video views to 100% (US $3750). “Boosted posts” yielded 528 comments and 35,966 page post engagements (US $1500). Overall, the campaign led to 452 shares and 642 comments, including 176 discussing newborn screening and biobanking. Conclusions Facebook advertising campaigns can efficiently reach large populations and achieve a range of engagement outcomes by diversifying ad types, bid types, and content. This campaign provided a population-based approach to communication that also increased transparency on a sensitive and complex topic by creating a forum for multi-way interaction.
Complex System Analysis of Social Networks Extracted from Literary Fictions

Recently we witnessed that the social network analysis focusing on social entities is applied in the social science and web-science, behavioral sciences, as well as in economics, marketing. In this paper we present one method to construct the social network from literary fictions by a simple lexical analysis, not using the complex natural language processing tools. And we will show that those social graphs, saying literary social graph, shows the power law distribution of some features, which is the typical characteristics of complex systems. We showed that the social network extracted from literary data reflects the similar network structure which was semantically designed by authors of fictions. And we newly proposed the concept of the kernel of literary social network by which we can classify the abstract level of protagonists appeared in fictions. Our study shows that the metric distance among characters written in linear text is very similar to the intrinsic and semantic relationship described by fiction writers, which implies the proposed social network from fictions could be another representation of literary fiction. So we can apply other scientific and quantitative approach by analyzing the concrete social graph model extracted from textual data. Extracting useful information from a large textual repository is getting essential in data mining field. One difficulty in this work is how to deal with the various kinds of natural languages. Most work has based on English based texts, but recently some other languages including East-Asian languages have shown interesting result. Due to the recent prevailing SNS (Social Network Service), people try to extract the sentiment from text data shared in on-line users. After obtaining attitude from one individual, we are able to identify the connection structure of elements in a community. The main issues of these sentiment analysis is how to identify the polarity of adjectives based on conjunctions linking them in a large corpus. And another hot research area is mining information over online discussion by observing discussion threads. By mining used words or related replying patterns among discussion thread, we can identify the friendly group or conflicting group. Our basic idea is that we can regard the complicated text (e.g. long literary fictions) as the typical complex system
RNA-dependent association with myosin IIA promotes F-actin-guided trafficking of the ELAV-like protein HuR to polysomes

The role of the mRNA-binding protein human antigen R (HuR) in stabilization and translation of AU-rich elements (ARE) containing mRNAs is well established. However, the trafficking of HuR and bound mRNA cargo, which comprises a fundamental requirement for the aforementioned HuR functions is only poorly understood. By administering different cytoskeletal inhibitors, we found that the protein kinase Cδ (PKCδ)-triggered accumulation of cytoplasmic HuR by Angiotensin II (AngII) is an actin-myosin driven process functionally relevant for stabilization of ARE-bearing mRNAs. Furthermore, we show that the AngII-induced recruitment of HuR and its bound mRNA from ribonucleoprotein particles to free and cytoskeleton bound polysomes strongly depended on an intact actomyosin cytoskeleton. In addition, HuR allocation to free and cytoskeletal bound polysomes is highly sensitive toward RNase and PPtase and structurally depends on serine 318 (S318) located within the C-terminal RNA recognition motif (RRM3). Conversely, the trafficking of the phosphomimetic HuRS318D, mimicking HuR phosphorylation at S318 by the PKCδ remained PPtase resistant. Co-immunoprecipitation experiments with truncated HuR proteins revealed that the stimulus-induced association of HuR with myosin IIA is strictly RNA dependent and mediated via the RRM3. Our data implicate a microfilament dependent transport of HuR, which is relevant for stimulus-induced targeting of ARE-bearing mRNAs from translational inactive ribonucleoprotein particles to polysomes.
Attenuated growth of breast‐fed children exposed to increased concentrations of methylmercury and polychlorinated biphenyls

Breast‐feeding has been linked to slowed postnatal growth. Although the basis for this “weanling's dilemma” is unclear, environmental contaminants in human milk may be of relevance. We studied a Faroese birth cohort of 182 singleton children, born at term in 1994–95. Concentrations of mercury in cord blood and of polychlorinated biphenyls in maternal milk were measured, and duration of breast‐feeding was recorded. At 18 months, children who had been exclusively breast‐fed for at least 6 months weighed 0.59 kg less [95% confidence interval (CI) = 0.03, 1.16 kg] and were 1.50 cm [95% CI = 0.52, 2.47 cm] shorter than those not breast‐fed. However, calculated transfer of contaminants from human milk fully explained the attenuated growth. Irrespective of duration of breast‐feeding, a doubling of the mercury concentration in cord blood was associated with a decrease in weight at 18 months by 0.19 kg (95% CI = 0.03, 0.35 kg) and in height by 0.26 cm (95% CI = − 0.02, 0.55 cm). Weight and height at 42 months showed the same tendencies, but the main effect occurred before 18 months of age. Thus, in communities with increased contaminant exposures, risks associated with lactational transfer of toxicants to the infant must be considered when judging the benefits of prolonged breast‐feeding.
Modeling and simulation of the ultrasonic wire bonding process

Ultrasonic wire bonding is an indispensable process in the manufacturing of semiconductor components. It is used for interconnecting the silicon die to e.g. connectors in the housing or to other semiconductors in complex components. In high power applications, such as wind turbines, locomotives or electric vehicles, the thermal and mechanical limits of interconnects made from aluminum are nearing. The limits could be overcome using copper wire bonds, but their manufacturing poses challenges due to the harder material, which leads to increased wear of the bond tools and to less reliable production. To overcome these drawbacks, adaptation of process parameters at runtime is employed. However, the range of parameter values for which a stable process can be maintained is very small, making it necessary to compute suitable parameters beforehand. To this end, and to gain insights into the process itself, the ultrasonic bonding process is modeled. The full model is composed of several partial models, some of which were introduced before. This paper focuses on the modularization of the full model and on the interaction of partial models. All partial models are presented, their interaction is shown and the general outline of the simulation process is given.
DPAC: an infrastructure for dynamic program analysis of concurrency Java programs

Concurrency programs are hard to test or debug due to their non-deterministic nature. Existing dynamic program analysis approaches tried to address this by carefully examine a recorded execution trace. However, developing such analysis tools is complicated, requiring to take care of many tedious implementation details, and comparing and evaluating different analysis approaches are also subject to various biases, due to lack of a common base platform. This motivates us to design DPAC, an infrastructure that support in building dynamic program analysis tools for concurrency Java programs. DPAC takes events and their various processing mechanisms as its underlying model to facilitate monitoring and manipulation of program executions as required by dynamic program analysis. Various analysis tools can be implemented by customizing their required event types and processing mechanisms. We show two concrete case studies how our DPAC helps building existing dynamic program analysis approaches, as well as tuning subtle implementation details for supporting customized function implementation and code transformation.
Performance Analysis of GEVD-Based Source Separation With Second-Order Statistics

One of the simplest (and earliest) approaches to blind source separation is to estimate the mixing matrix from the generalized eigenvalue decomposition (GEVD), or Exact Joint Diagonalization, of two “target-matrices. ” In a second-order statistics (SOS) framework, these target-matrices are two different correlation matrices (e.g., at different lags, taken over different time-intervals, etc.), attempting to capture the diversity of the sources (e.g., diverse spectra, different nonstationarity profiles, etc.). More generally, such matrix pairs can be constructed as “generalized correlation” matrices, whose structure is prescribed by two selected “association-matrices. ” In this paper, we provide a small-errors performance analysis of GEVD-based separation in such SOS frameworks. We derive explicit expressions for the resulting interference-to-source ratio (ISR) matrix in terms of the association-matrices and of the sources' temporal covariance matrices. The validity of our analysis is illustrated in simulation.
Self-sensing control of permanent-magnet synchronous machines with reluctance and saturation effects using high-frequency signal injection

This paper presents a new method for self-sensing control of permanent-magnet synchronous machines (PMSMs). High-frequency signal injection methods rely on the difference in d- and q-inductance, caused by the spatial saliency in the machine. It is shown that this effect is not only dependent on the q- but also on the d-current due to saturation effects. Therefore the robustness of self-sensing control changes over the operation range. Furthermore, errors of the widely used signal processing are discussed. Considering these challenges, a new method is proposed, expanding the operation range for self-sensing control of PMSMs.
Pore Polarity and Charge Determine Differential Block of Kir1.1 and Kir7.1 Potassium Channels by Small-Molecule Inhibitor VU590

VU590 was the first publicly disclosed, submicromolar-affinity (IC50 = 0.2 μM), small-molecule inhibitor of the inward rectifier potassium (Kir) channel and diuretic target, Kir1.1. VU590 also inhibits Kir7.1 (IC50 ∼ 8 μM), and has been used to reveal new roles for Kir7.1 in regulation of myometrial contractility and melanocortin signaling. Here, we employed molecular modeling, mutagenesis, and patch clamp electrophysiology to elucidate the molecular mechanisms underlying VU590 inhibition of Kir1.1 and Kir7.1. Block of both channels is voltage- and K+-dependent, suggesting the VU590 binding site is located within the pore. Mutagenesis analysis in Kir1.1 revealed that asparagine 171 (N171) is the only pore-lining residue required for high-affinity block, and that substituting negatively charged residues (N171D, N171E) at this position dramatically weakens block. In contrast, substituting a negatively charged residue at the equivalent position in Kir7.1 enhances block by VU590, suggesting the VU590 binding mode is different. Interestingly, mutations of threonine 153 (T153) in Kir7.1 that reduce constrained polarity at this site (T153C, T153V, T153S) make wild-type and binding-site mutants (E149Q, A150S) more sensitive to block by VU590. The Kir7.1-T153C mutation enhances block by the structurally unrelated inhibitor VU714 but not by a higher-affinity analog ML418, suggesting that the polar side chain of T153 creates a barrier to low-affinity ligands that interact with E149 and A150. Reverse mutations in Kir1.1 suggest that this mechanism is conserved in other Kir channels. This study reveals a previously unappreciated role of membrane pore polarity in determination of Kir channel inhibitor pharmacology.
Vaccine Protection against Simian Immunodeficiency Virus by Recombinant Strains of Herpes Simplex Virus

ABSTRACT An effective vaccine for AIDS may require development of novel vectors capable of eliciting long-lasting immune responses. Here we report the development and use of replication-competent and replication-defective strains of recombinant herpes simplex virus (HSV) that express envelope and Nef antigens of simian immunodeficiency virus (SIV). The HSV recombinants induced antienvelope antibody responses that persisted at relatively stable levels for months after the last administration. Two of seven rhesus monkeys vaccinated with recombinant HSV were solidly protected, and another showed a sustained reduction in viral load following rectal challenge with pathogenic SIVmac239 at 22 weeks following the last vaccine administration. HSV vectors thus show great promise for being able to elicit persistent immune responses and to provide durable protection against AIDS.
Association between COX-2 gene polymorphisms and risk of hepatocellular carcinoma development: a meta-analysis

Objective To investigate the association between cyclo-oxygenase-2 (COX-2) polymorphism and the risk of hepatocellular carcinoma (HCC) development. Design Systematic review and meta-analysis of COX-2 polymorphism and risk of HCC development among people with or without HCC. Data sources EMBASE, PubMed, Public Library of Science, SCOPUS, Web of Knowledge and Chinese National Knowledge Infrastructure were searched for all clinical and experimental case–control studies of COX-2 polymorphism and HCC risk. Studies published up to March 2015 were included. Review method Ten studies were included for data extraction, which were mainly from Asian countries. Results 2538 people with HCC and 3714 without HCC were found to satisfy the inclusion criteria and included in the review. The associations of specific genotypes in the eight polymorphic variants of COX-2 and the risk of HCC development were analysed. GG genotype at the A-1195G polymorphism may be associated with a reduced risk of HCC development: the OR across all studies was 0.87 (95% CI 0.75 to 1.02) for the G allele versus the A allele, 0.72 (0.53 to 0.97) for GG versus AA, 0.72 (0.57 to 0.92) for GG versus GA+AA and 1.05 (0.77 to 1.44) for AA versus GA+GG. Similar results were found when the meta-analysis was repeated separately for the Chinese subgroup. However, more reliable data are needed to demonstrate associations between variants in G-765C, T+8473C, A-1290G, G-899C and introns 1, 5 and 6 polymorphisms and the risk of HCC development. Conclusions Only the COX-2 A-1195G gene polymorphism may be associated with a decreased risk of HCC development. These conclusions should be verified in further studies.
Graham Jones and Graeme Stewart asthma and allergy polymorphisms with PHF 11 Association of

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In Defense of the Direct Perception of Affordances

The field of functional recognition or affordance estimation from images has seen a revival in recent years. As originally proposed by Gibson, the affordances of a scene were directly perceived from the ambient light: in other words, functional properties like sittable were estimated directly from incoming pixels. Recent work, however, has taken a mediated approach in which affordances are derived by first estimating semantics or geometry and then reasoning about the affordances. In a tribute to Gibson, this paper explores his theory of affordances as originally proposed. We propose two approaches for direct perception of affordances and show that they obtain good results and can out-perform mediated approaches. We hope this paper can rekindle discussion around direct perception and its implications in the long term.
Draft Genome Sequence of Alcaligenes faecalis BDB4, a Polyaromatic Hydrocarbon-Degrading Bacterium Isolated from Crude Oil-Contaminated Soil

ABSTRACT Alcaligenes fecalis BDB4 was isolated from crude oil-contaminated soil in India. The genome sequence of A. faecalis BDB4 revealed the presence of important genes required for polyaromatic hydrocarbon (PAH) metabolism and other associated functions, such as chemotaxis, membrane transport, and biofilm formation, giving insight into the complete PAH mineralization potential of this bacterium.
Undecidability in Integer Weighted Finite Automata

It is shown that the universe problem L(A γ) = A a is undecidable for 4-state finite automata A with integer weight function γ on its transitions. This holds even in the case, where A is acyclic and the weighting γ satisfies the unimodality condition. The language L(A γ) is defined as the set of words ω for which there exists a path π of A having zero weight, that is, γ(π) = 0.
Adult NG2-Expressing Cells in Multiple Organs: A Novel Progenitor in Regenerative Medicine

Stem/progenitor cells have emerged as a promising tool for studying the mechanisms of cell development, tissue regeneration, and cell therapy for various disorders. Stem/progenitor cells are found not only in the embryo but also in most adult tissues for endogenous repair. They are capable of self renewal and differentiation into various cell types from their germ line, thus, are ideal candidates for cell-based therapy. Expression of neuron-glial antigen 2 (NG2) proteoglycan is found on several types of cell surface, majorly distributing on undifferentiated precursor cells in the Central Nerve System (CNS), named Oligodendrocyte Progenitor Cells (OPCs). NG2 proteoglycan has a widespread range of physiological roles and the cells that express chondroitin sulphate proteoglycan NG2/CSPG4 (NG2+cells) react to all forms of pathological insults. This cell population is abundant in the developing and mature organs with also pericytes PCs) and mesenchymal stem cell (MSCs) potential. Our pilot studies demonstrated that NG2+cells are dedicated stem/precursors not only in the CNS as traditional thought, but also outside the CNS. Following injury, the repertoire of NG2+cells expands to become functional cells. Our experiment also showed the importance of NG2+cells as the reservoir for MSCs, which reaffirms the central role of these cells for their therapeutic potential. In this review, we provided some pilot evidence and briefly summarized the more recent progress on adult NG2+cell researches. We hypothesis that adult NG2+cells can be generated from not only the adult mammalian’s CNS but also multiple outside organs including spinal cord, bone marrow, eyes, liver, heart, lung, pancreas and kidney. Therefore, development and research of adult NG2+cells may open a novel perspective in regenerative medicine in the future.
Static analysis based invariant detection for commodity operating systems

The recent interest in runtime attestation requires modeling of a program's runtime behavior to formulate its integrity properties. In this paper, we study the possibility of employing static source code analysis to derive integrity models of a commodity operating systems kernel. We develop a precise and static analysis-based global invariant detection tool that overcomes several technical challenges: field-sensitivity, array-sensitivity, pointer analysis, and handling of assembly code. We apply our tool to Linux kernel 2.4. 32 and identify 141,279 global invariants that are critical to its runtime integrity. Furthermore, comparison with the result of a dynamic invariant detector reveals 17,182 variables that can cause false alarms for the dynamic detector. Our experience suggests that static analysis is a viable option for automated integrity property derivation, and it can have very low false positive rate (1 out of 141,280 in our Linux kernel case study) and very low false negative rate (about 0.013%).
Ligand Dependency of 5-Hydroxytryptamine 2C Receptor Internalization

Agonist-induced internalization of G protein-coupled receptors (GPCRs) is a well characterized phenomenon believed to contribute to receptor desensitization. The 5-hydroxytryptamine (5-HT)2C subtype of serotonin receptor is a GPCR that we have shown to internalize upon agonist incubation. In this study, we have examined the effects of 5-HT2C receptor agonists serotonin, Ro 60-0175 [(S)-2-(6-chloro-5-fluoroindol-1-yl)-1-methylethylamine], and WAY-161503 [(4aR)-8,9-dichloro-2,3,4,4a-tetrahydro-1H-pyrazino[1,2-a]quinoxalin-5(6H)-one]; partial agonists mCPP [1-(m-chlorophenyl)piperazine] and DOI [(+)-1-(2,5-dimethoxy-4-iodophenyl)-2-amino-propane]; inverse agonists SB-206553 [N-3-pyridinyl-3,5-dihydro-5-methylbenzo(1,2-b:4,5-b′)dipyrrole-1(2H)carboxamide] and mianserin; and neutral antagonists SB-242084 [6-chloro-5-methyl-1-[[2-[(2-methyl-3-pyridyl)oxy]-5-pyridyl]carbamoyl]-indoline] and 5-methoxygramine on the internalization of a C-terminal green fluorescent protein (GFP)-tagged 5-HT2C receptor (VSV isoform) expressed in transiently transfected human embryonic kidney cells. We detected internalization with an automated, cell-based fluorescence-imaging system (Arrayscan) and monitored function with intracellular Ca2+ measurements (flourometric imaging plate reader). The 5-HT2C-GFP construct exhibited appropriate pharmacology, and we observed that although all three agonists resulted in similar magnitudes of dose-dependent internalization, the partial agonists resulted in ∼50% less internalization, and the inverse agonists and neutral antagonists failed to induce internalization. These results were confirmed by confocal microscopy. They demonstrate that the 5-HT2C receptor is internalized by incubation with agonists and partial agonists but not with inverse agonists or neutral antagonists.