Miracle-dz/UniFAR-FTUs huggingface dataset:
Inferring Social Influence of Anti-Tobacco Mass Media Campaign

Anti-tobacco mass media campaigns are designed to influence tobacco users. It has been proved that campaigns will produce users’ changes in awareness, knowledge, and attitudes, and also produce meaningful behavior change of audience. Anti-smoking television advertising is the most important part in the campaign. Meanwhile, nowadays, successful online social networks are creating new media environment, however, little is known about the relation between social conversations and anti-tobacco campaigns. This paper aims to infer social influence of these campaigns, and the problem is formally referred to as the Social Influence inference of anti-Tobacco mass mEdia campaigns (Site) problem. To address the Site problem, a novel influence inference framework, TV advertising social influence estimation (Asie), is proposed based on our analysis of two real anti-tobacco campaigns. Asie divides audience attitudes toward TV ads into three distinct stages: 1) cognitive; 2) affective; and 3) conative. Audience online reactions at each of these three stages are depicted by Asie with specific probabilistic models based on the synergistic influences from both online social friends and offline TV ads. Extensive experiments demonstrate the effectiveness of Asie.
Long Non-Coding RNA HOXA Transcript Antisense RNA Myeloid-Specific 1–HOXA1 Axis Downregulates the Immunosuppressive Activity of Myeloid-Derived Suppressor Cells in Lung Cancer

HOXA transcript antisense RNA myeloid-specific 1 (HOTAIRM1) is a long non-coding RNA that has been shown to be a key regulator of myeloid cell development by targeting HOXA1. Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of immature myeloid cells that possess immunosuppressive function. However, the impact of HOTAIRM1 on the development of MDSCs remains unknown. In this study, we demonstrated that HOTAIRM1 was expressed in MDSCs and that overexpression of HOTAIRM1 could downregulate the expression of suppressive molecules in MDSCs. In addition, HOTAIRM1 levels were observed to be decreased in the peripheral blood cells of lung cancer patients compared with those of healthy controls. By analyzing HOTAIRM1 expression levels in different types of lung cancer, we found that HOTAIRM1 was mainly expressed in lung adenocarcinoma. Finally, it was confirmed that HOTAIRM1 could enhance the expression of HOXA1 in MDSCs and that high levels of HOXA1, the target gene of HOTAIRM1, could delay tumor progression and enhance the antitumor immune response by downregulating the immunosuppression of MDSCs. Taken together, this study illustrates that HOTAIRM1/HOXA1 downregulates the immunosuppressive function of MDSCs and may be a potential therapeutic target in lung cancer.
Meningeal Infiltration of Chronic Myelomonocytic Leukemia

Chronic Myelomonocytic Leukemia (CMML) is a hematologic malignancy considered a subtype of Myelodysplastic Syndrome (MDS)/Myeloproliferative Disease (MPD). According the World Health Organization (WHO) two subtypes of CMML, CMML-1 and CMML-2 are defined depending on the percentage of blasts in Bone Marrow (BM) and Peripheral Blood (PB). The clinical presentation is variable, but the majority of patients present with fatigue, weight loss, fever, night sweats and splenomegaly, less often skin infiltration or serous effusions. Meningeal leukemic involvement is rarely a presenting feature of CMML. We are reporting a case of 67-year old male with central nervous system involvement of CMML.
Doing Better at Doing Good: When, Why, and How Consumers Respond to Corporate Social Initiatives

Although companies are devoting significant resources to corporate social responsibility (CSR) initiatives, insights into the optimal formulation, implementation, and effectiveness estimation of CSR strategies are currently scarce. This article takes an indepth look at when, why, and how CSR works from a consumer's perspective. In contrast to the simple, monotonie relationships between CSR and consumer purchase behavior evident in marketplace polls, this article proposes a more complex, contingent model of consumer responses to CSR. It articulates both the internal outcomes (e.g., awareness, attitudes, attachment) and external outcomes (e.g., word of mouth, purchase, loyalty) of CSR initiatives for not just the company, but also the consumer and the CSR issue/cause. This article delineates the key factors that are likely to moderate the extent to which the inputs lead to the internal outcomes and the internal outcomes lead to the external ones. This framework can help guide companies in not only formulating and implementing their CSR initiatives, but also measuring the effectiveness of these initiatives.
Improvement of soil moisture monitoring using EVI as a key parameter based on TVDI in the north China plain

Soil moisture is a key component of land surface parameterization. The triangle/trapezoid feature space can be used to monitor soil moisture effectively. This research aims to use enhanced vegetation index (EVI) as an alternative for the normalized difference vegetation index (NDVI) in estimation of temperature vegetation dryness index (TVDI) to improve its ability of retrieving soil moisture and to discuss the flexibility of EVI in retrieval of soil moisture. The result shows that LST-EVI has higher R2 in linear regression and more significant in validation at depth of 0-10cm than LST-NDVI. Influence caused by altitude for LST-EVI in monitoring soil moisture will be discussed in this study. In comparison with precipitation, LST-EVI and soil moisture shows a better mirror symmetry in dry season than in rainy season.
Model extraction of power amplifiers for wideband LTE signals

Model extraction is an essential process to identify the nonlinear behavior of power amplifiers and to design an accurate linearizer. A robust model can also improve the system efficiency by maintaining linearity performance under various test signals within a training bandwidth. This work presents a methodology of behavioral modeling and pre-distortion using input stimulus comprised of different-frequency sinusoidal waves. 100 different sets of pre-distortion parameters are extracted and the performance of each digital pre-distorter is verified. The results suggest that modeling a nonlinear power amplifier with multi-tone excitation signals is adequate. Coefficients obtained in this approach are robust and work reasonably for various types of LTE carrier configurations. The resulting low-cost compensator delivers ACLR and NMSE improvements up to 20 dB for an instantaneous bandwidth of 40 MHz.
Biomarkers of tumour redox status in response to modulations of glutathione and thioredoxin antioxidant pathways

Abstract The ability of certain cancer cells to maintain a highly reduced intracellular environment is correlated with aggressiveness and drug resistance. Since the glutathione (GSH) and thioredoxin (TRX) systems cooperate to a tight regulation of ROS in cell physiology, and to a stimulation of tumour initiation and progression, modulation of the GSH and TRX pathways are emerging as new potential targets in cancer. In vivo methods to assess changes in tumour redox status are critically needed to assess the relevance of redox-targeted agents. The current study assesses in vitro and in vivo biomarkers of tumour redox status in response to treatments targeting the GSH and TRX pathways, by comparing cytosolic and mitochondrial redox nitroxide electron paramagnetic resonance (EPR) probes, and cross-validation with redox dynamic fluorescent measurement. For that purpose, the effect of the GSH modulator buthionine sulfoximine (BSO) and of the TRX reductase inhibitor auranofin were measured in vitro using both cytosolic and mitochondrial EPR and roGFP probes in breast and cervical cancer cells. In vivo, mice bearing breast or cervical cancer xenografts were treated with the GSH or TRX modulators and monitored using the mito-TEMPO spin probe. Our data highlight the importance of using mitochondria-targeted spin probes to assess changes in tumour redox status induced by redox modulators. Further in vivo validation of the mito-tempo spin probe with alternative in vivo methods should be considered, yet the spin probe used in vivo in xenografts demonstrated sensitivity to the redox status modulators.
Efficient C2-Weighting for Image Warping

Handle-driven image warping based on linear blending is widely used in many applications because of its merits on intuitiveness, efficiency, and ease of implementation. In this paper, we develop a method to compute high-quality weights within a closed domain for image warping. The property of C2 continuity in weights is guaranteed by the carefully formulated basis functions. The efficiency of our algorithm is ensured by a closed-form formulation of the computation for weights. The cost of inserting a new handle is only the time to evaluate the distances from the new handle to all other sample points in the domain. A virtual handle insertion algorithm is developed to allow users to freely place handles within the domain while preserving the satisfaction of all expected criteria on weights for linear blending. Experimental examples for real-time applications are shown to demonstrate the effectiveness of this method.
Delta Haptic Device as a nanomanipulator

At the EPFL, we have developed a force-feedback device and control architecture for high-end research and industrial applications. The Delta Haptic Device (DHD) consists of a 6 degrees-of-freedom (DOF) mecatronic device driven by a PC. Several experiments have been carried out in the fields of manipulation and simulation to assess the dramatic improvement haptic information brings to manipulation. This system is particularly well suited for scaled manipulation such as micro-, nano- and biomanipulation. Not only can it perform geometric and force scaling, but it can also include fairly complex physical models into the control loop to assist manipulation and enhance human understanding of the environment. To demonstrate this ability, we are currently interfacing our DHD with an atomic force microscope (AFM). In a first stage, we will be able to feel in real-time the topology of a given sample while visualizing it in 3D. The aim of the project is to make manipulation of carbon nanotubes possible by including physical models of such nanotubes behavior into the control loop, thus allowing humans to control complex structures. In this paper, we give a brief description of our device and present preliminary results of its interfacing with the AFM.
Robust MDDR beamforming for sub-Gaussian signals in the presence of fast-moving interferences

The recently proposed minimum dispersion distortionless response (MDDR) beamformer is able to improve the reception of non-Gaussian signals over the minimum variance distortionless response (MVDR) beamformer. A scenario often encountered in practice is that a strong fast-moving interference crosses the observation region of an array, causing deterioration in the performance of the standard MDDR beamformer. To suppress such an interference, a continuous deep null sector over a predefined range of dynamic angle-of-arrival (AOA) is desirable. We develop a robust beamformer against fast-moving interferences based on the MD criterion. The proposed beamformer ensures that the output is optimized based on the MI) criterion and that the average power over the dynamic AOA is subject to be zero via a quadratic constraint. In order to reduce the computational load, the optimization problem with a quadratic constraint is relaxed to its counterpart with a linear constraint. This allows us to devise a fast algorithm, i.e., the Newton's method. Numerical results are provided to demonstrate that the developed beamformer can suppress the strong fast-moving interferences effectively.
Quantitative magnetic resonance image analysis of the cerebellum in macrocephalic and normocephalic children and adults with autism

A detailed morphometric analysis of the cerebellum in autism with and without macrocephaly. Four subject groups (N = 65; male; IQs ≥ 65; age 7 to 26 years) were studied with quantitative MRI; normocephalic and macrocephalic individuals with autism without mental retardation were compared to normocephalic and benign macrocephalic typically developing individuals. Total cerebellum volumes and surface areas of four lobular midsagittal groups were measured. Independent t-tests between autism and control subjects matched for head size revealed no significant differences. Multivariate analyses of variance were also performed, using the diagnostic group as the fixed factor, cerebellar measures as the dependent variables and total intracranial volume, total brain volume, age, verbal IQ, and performance IQ as covariates. No significant differences were found; however, a trend was noted in which macrocephalic individuals with autism consistently exhibited slightly smaller cerebellar volume or surface area when compared to individuals with benign macrocephaly. In autism, with and without macrocephaly, cerebellar structures were found to be proportional to head size and did not differ from typically developing subjects. (JINS, 2008, 14, 401–413.)
Dissolution of Pristine Single Walled Carbon Nanotubes in Superacids by Direct Protonation

Strong tube−tube van der Waal attractions that hinder the dissolution of single walled carbon nanotubes (SWNTs) as individuals have been overcome by the direct protonation of the tubes by superacids. The pristine nanotubes disperse as individuals in 100% H2SO4, oleum, trifluromethanesulfonic acid, and chlorosulfonic acid to varying solubility levels. Optically homogeneous solutions with concentration as high as 45 g/L (2.5 wt %) at room temperature have been observed in the case of chlorosulfonic acid, the strongest among the series of superacids investigated. A dissolution model is proposed wherein the solubilized tubes exist as protonated polycarbocations, charge balanced by corresponding conjugate base anions. The removal of electrons from the SWNT, leading to a fractional positive charge on the carbons in the protonated state, is reversible upon deprotonation. With increasing concentration of the solubilized nanotubes, anion-mediated attractions at lower concentrations and spatial constraints at high .
Chronic Kidney Disease and Nonalcoholic Fatty Liver Disease Proven by Transient Elastography

Background/Aim: Preliminary data suggest an association between chronic kidney disease (CKD) and non-alcoholic fatty liver disease (NAFLD). The aim of this study was to further investigate the association between NAFLD and decreased kidney function. Methods: A total of 62 patients with CKD were enrolled in the study. Liver stiffness was used to detect liver fibrosis and CAP (controlled attenuation parameter) was used to detect and quantify liver steatosis (Fibroscan®). NAFLD was defined by CAP values ≥238 dB.m-1. Results: CKD stage III was present in 29 patients (46.8%) and CKD stage IV in 33 patients (53.2%). Out of 62 CKD patients 53 (85.5%) had NAFLD and of these 14/53 patients (26.4%) had also liver stiffness >7 kPa. The severity of liver steatosis was positively correlated with serum creatinine (r=0.399;p<0.01) and CRP (r=0.261; p<0.05) and negatively correlated with eGFR (r=-0.413; p<0.01) and serum iron concentration (r=-0.365; p<0.01). Conclusion: The results suggest a high prevalence of NAFLD in CKD patients. The severity of liver steatosis is negatively correlated with kidney function. The study documents the value of ultrasonographic elastography as an effective non-invasive screening method for the diagnosis of NAFLD.
Achieving progressive precision in stochastic computing

Stochastic computing (SC) performs approximate arithmetic with variable-length probabilistic bit-streams. Its potential advantages include low hardware cost, low power, and variable precision. Increasing the bit-stream length N generally improves precision, but not necessarily in a consistent or predictable way due to the randomness of the bit patterns. A desirable property for SC is progressive precision (PP), meaning that initial parts of a bit-stream X provide steadily improving estimates of X's exact value. In most stochastic circuits, PP is either absent or, if present, based on the vague notion that “longer is better. ” We propose a concept called accurate truncated progressive precision (ATPP) which provides PP that has a well-defined accuracy guarantee for all 2'-bit initial subsequences of a stochastic number. We then describe a new stochastic number generator CAPE that, when used to generate inputs for a combinational stochastic circuit, guarantees ATPP for the circuit's output bit-streams. Experimental results are presented which confirm CAPE's ATPP property.
Global epidemiology of podoconiosis: A systematic review

Background Podoconiosis is one of the few diseases that could potentially be eliminated within one generation. Nonetheless, the global distribution of the disease remains largely unknown. The global atlas of podoconiosis was conceived to define the epidemiology and distribution of podoconiosis through dedicated surveys and assembling the available epidemiological data. Methods We have synthesized the published literature on the epidemiology of podoconiosis. Through systematic searches in SCOPUS and MEDLINE from inception to February 14, 2018, we identified observational and population-based studies reporting podoconiosis. To establish existence of podoconiosis, we used case reports and presence data. For a study to be included in the prevalence synthesis, it needed to be a population-based survey that involved all residents within a specific area. Studies that did not report original data were excluded. We undertook descriptive analyses of the extracted data. This study is registered with PROSPERO, number CRD42018084959. Results We identified 3,260 records, of which 27 studies met the inclusion criteria. Podoconiosis was described to exist or be endemic in 32 countries, 18 from the African Region, 3 from Asia and 11 from Latin America. Overall, podoconiosis prevalence ranged from 0·10% to 8.08%, was highest in the African region, and was substantially higher in adults than in children and adolescents. The highest reported prevalence values were in Africa (8.08% in Cameroon, 7.45% in Ethiopia, 4.52% in Uganda, 3.87% in Kenya and 2.51% in Tanzania). In India, a single prevalence of 0.21% was recorded from Manipur, Mizoram and Rajasthan states. None of the Latin American countries reported prevalence data. Conclusion Our data suggest that podoconiosis is more widespread in the African Region than in the rest of the regions, although this could be related to the fact that most podoconiosis epidemiological research has been focused in the African continent. The assembled dataset confirms that comprehensive podoconiosis control strategies such as promotion of footwear and personal hygiene are urgently needed in endemic parts of Africa. Mapping, active surveillance and a systematic approach to the monitoring of disease burden must accompany the implementation of podoconiosis control activities.
Defending Grid Web Services from XDoS attacks by SOTA

Grid Web Services are still relevantly a new to business systems, and as more systems are being attached to it, any threat to it could bring collapse and huge harm. Some of these potential threats to Grid Web services come in a new form of a new denial of service attack (DoS), called XML Denial of Service or XDOS attacks. Though, as yet, there have not been any reported attacks from the media, we have observed these attacks are actually far less complex to implement than any previous Denial of Service (DoS), but still just as affective. Current security applications for grid web services (WS-Security for example), based on our observations, and are not up to job of handling the problem. In this paper, we build on our previous work called Service Oriented Traceback Architecture (SOTA), and apply our model to Grid Networks that employ web services. We further introduce a filter defence system, called XDetector, to work in combination with SOTA. Our results show that SOTA in conjunction with XDetector makes for an effective defence against XDoS attacks and upcoming DXDoS.
Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach

In recent years research suggests that astrocyte networks, in addition to nutrient and waste processing functions, regulate both structural and synaptic plasticity. To understand the biological mechanisms that underpin such plasticity requires the development of cell level models that capture the mutual interaction between astrocytes and neurons. This paper presents a detailed model of bidirectional signaling between astrocytes and neurons (the astrocyte-neuron model or AN model) which yields new insights into the computational role of astrocyte-neuronal coupling. From a set of modeling studies we demonstrate two significant findings. Firstly, that spatial signaling via astrocytes can relay a “learning signal” to remote synaptic sites. Results show that slow inward currents cause synchronized postsynaptic activity in remote neurons and subsequently allow Spike-Timing-Dependent Plasticity based learning to occur at the associated synapses. Secondly, that bidirectional communication between neurons and astrocytes underpins dynamic coordination between neuron clusters. Although our composite AN model is presently applied to simplified neural structures and limited to coordination between localized neurons, the principle (which embodies structural, functional and dynamic complexity), and the modeling strategy may be extended to coordination among remote neuron clusters.
Method to Assemble Genomic DNA Fragments or Genes on Human Artificial Chromosome with Regulated Kinetochore Using a Multi-Integrase System

The production of cells capable of carrying multiple transgenes to Mb-size genomic loci has multiple applications in biomedicine and biotechnology. In order to achieve this goal, three key steps are required: (i) cloning of large genomic segments; (ii) insertion of multiple DNA blocks at a precise location and (iii) the capability to eliminate the assembled region from cells. In this study, we designed the iterative integration system (IIS) that utilizes recombinases Cre, ΦC31 and ΦBT1, and combined it with a human artificial chromosome (HAC) possessing a regulated kinetochore (alphoidtetO-HAC). We have demonstrated that the IIS-alphoidtetO-HAC system is a valuable genetic tool by reassembling a functional gene from multiple segments on the HAC. IIS-alphoidtetO-HAC has several notable advantages over other artificial chromosome-based systems. This includes the potential to assemble an unlimited number of genomic DNA segments; a DNA assembly process that leaves only a small insertion (<60 bp) scar between adjacent DNA, allowing genes reassembled from segments to be spliced correctly; a marker exchange system that also changes cell color, and counter-selection markers at each DNA insertion step, simplifying selection of correct clones; and presence of an error proofing mechanism to remove cells with misincorporated DNA segments, which improves the integrity of assembly. In addition, the IIS-alphoidtetO-HAC carrying a locus of interest is removable, offering the unique possibility to revert the cell line to its pretransformed state and compare the phenotypes of human cells with and without a functional copy of a gene(s). Thus, IIS-alphoidtetO-HAC allows investigation of complex biomedical pathways, gene(s) regulation, and has the potential to engineer synthetic chromosomes with a predetermined set of genes.