Miracle-dz/UniFAR-FTUs huggingface dataset:
Intersubjective Norms

Cross-cultural psychology takes account of—indeed is built upon—observations that individuals differ on cultural variables. A starting assumption, made in common with certain classic theories in cultural anthropology (e.g., Benedict, 1934), has been that the fault-lines run mainly between cultural groups, whereas within cultural groups considerable homogeneity would be found. Variation associated with subcultures within such groups, which may differentiate along ethnic or religious or generational lines, constitutes a problem for such an assumption. It is welcome news that authors of several articles in this special issue (Gao et al., Tam, Wan, and Morris & Liu) recognize this problem. They are to be congratulated not only for noticing the problem but also for exploring ways of thinking that might resolve it. However, in our view, such discussions could be better informed and extended by a greater challenge to compartmentalizing tendencies in academic disciplines, in this case by taking into account more recent theories within the field of cultural anthropology that can be a fertile source for new thinking in cross-cultural psychology. Our commentary focuses on core ideas in some such recent theories, namely, the distributive model of culture (Goodenough, 1981; Schwartz, 1978; Wallace, 1970), cultural consensus model (CCM; Romney, Weller, & Batchelder, 1986), and a cultural consonance approach (e.g., Dressler, Balieiro, & dos Santos, 2015), which have affected our own approach (e.g., Saucier et al., 2014). While focusing primarily on Gao et al.’s article, we make reference to several other articles in this special issue. Gao et al. summarize two approaches to understanding communication and its role in the generation of culture: neo-diffusionism (Kashima, 2014) and complexity theory (Hatt, 2009). They note differences in these two approaches that make complexity theory more flexible than neo-diffusionism. For example, complexity theory focuses less on social integration and collaborative meaning-making as goals of interpersonal communication. It allows for individuals to have other preferences, for example, preferring to communicate predominantly with others who share their opinion or to modify the content of their communication to accommodate the opinion of their interlocutor. Despite these differences, both approaches presuppose a
Temporal Transcriptional Regulation of IL-10-Induced Anti-Inflammatory Genes in LPS-Triggered Macrophages

Interleukin-10 (IL-10) mediates an anti-inflammatory response that is executed through the expression of IL-10-induced genes. Certain IL-10-induced genes, exemplified by TNIP3, are induced by IL-10 only in conjunction with a pro-inflammatory signal. We sought to characterize the mechanism whereby IL-10 and Toll-like receptor signals synergized to induce expression of genes like TNIP3 inmacrophages. Stimulation with IL-10 and lipopolysaccharide (LPS) synergistically induced an increase in the transcription rate of TNIP3, while having no effect on its mRNA stability. This transcriptional mechanism proved to be generalizable to 14 other genes that also were synergistically induced by IL-10 and LPS in monocytes/macrophages. Although all of the genes had this synergistic transcriptional regulation in common, they could be divided into three subsets based on their differential requirements for de novo protein synthesis and kinetics of expression: namely, primary response genes, early secondary response genes, and late secondary response genes. This coordinated and temporal pattern of transcriptional regulation in response to IL-10 and LPS was conserved in both human and mouse monocytes/macrophages, and it was associated with differential dependencies on PI3K and JNK signaling pathways. These results underscore the complex nature of the IL-10-induced transcriptional response that occurs specifically in LPS-triggered macrophages.
Crowdsourcing Data Understanding : A Case Study using Open Government Data

We investigate the feasibility of applying crowdsourcing to the task of data understanding, which aims to explore a set of data and discover insights from it. We consider a two-stage workflow composed of data exploration tasks and review tasks. We conducted experiments using nine datasets provided by the government of Japan and collected 114 findings and charts. The experimental results demonstrate the effectiveness of the power of crowds for data understanding and indicate the usefulness of crowd reviews for controlling the quality of crowdsourced data understanding.
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?

In recent years, deep learning has transformed the field of machine learning. In the field of neuroimaging, there are increasing interests in adopting deep learning techniques. However, deep neural networks (DNNs) usually need large quantity of data to perform well, which is often lacking in neuroimaging. In this work, we evaluated three different DNNs (fully-connected neural network, BrainNetCNN [1], and graph convolutional neural network [2]) for functional connectivity (FC)-based prediction of fluid intelligence using the Human Connectome Project. These DNNs were compared with kernel regression, a classical machine learning algorithm. Our results suggested that the DNNs did not outperform kernel regression. However, we do not preclude the possibility that with more participants or different FC features, DNNs might eventually outperform their classical counterpart.
A 36 Heterogeneous Core Architecture with Resource-Aware Fine-grained Task Scheduling for Feedback Attention based Object Recognition

Abstract: A heterogeneous SIMD/MIMD PE architecture is proposed to accelerate feedback attention based object recognition. Due to the difficulty of pipelining subsequent stages in an iterative recognition-attention feedback loop, parallelism within the recognition stage is exploited to improve performance. In addition, resource-aware fine-grained task scheduling is performed for high PE utilization, and voltage/frequency throttling based on neuro-fuzzy prediction enables low power real-time recognition on 30fps VGA video. (
Study of Increased Atherosclerosis Risk In Hepatitis C virus and Cytomegalovirus Seropositive Haemodialysis Patients

Hepatitis C virus (HCV) is the most common liver disease in renal dialysis patients. Also, cytomegalovirus (CMV) is a common infection in chronic hemodialysis patients (CHD). HCV and CMV patients are more likely to have carotid atherosclerosis plaques as compared to negative individuals. The aim of this study is to assess the association between HCV and CMV seropositivity, dyslipidemia, carotid artery plaques and media intima thickening in hemodialysis patients. Sixty patients with chronic kidney disease (CKD) on regular hemodialysis were selected from hemodialysis unit in Tanta university hospital. All subjects were subjected to medical history taking, physical examination, complete blood picture (CBC), fasting blood glucose (FBS), liver function tests, lipid profile, serum calcium, serum phosphorus, INR, prothrombin concentration , C-reactive protein (CRP), HCV Ab (ELISA) and CMV IgG and Duplex on both Carotid arteries with measurement of intimal medial thickness. The prevalence of atherosclerosis in HCV, CMV positive and negative patients undergoing hemodialysis is not influenced by many factors (p value >0.05): sex, age, and body mass index, systolic and diastolic blood pressure, Also there was no significant change in serum albumin, bilirubin, prothrombin concentration, INR, CBC, FBS, CRP, serum phosphorus and ionized calcium. There was significant increase in atherosclerosis among HCV and CMV positive compared to negative patients undergoing hemodialysis as proved by Carotid Duplex. Atherosclerosis is increased in HCV and CMV seropositive compared to seronegative patients under hemodialysis as proved by Carotid Duplex.
Question Answering on RDF KBs using Controlled Natural Language and Semantic

The fast growth in number, size and availability of RDF knowledge bases (KBs) is creating a pressing need for research advances that will let people consult them without having to learn structured query languages, such as SPARQL, and the internal organization of the KBs. In this paper, we present CANaLI, a Question Answering (QA) system that accepts questions posed in a Controlled Natural Language. The questions entered by the user are annotated on the fly, and a KB-driven autocompletion system displays suggestions computed in real time from the partially completed sentence the person is typing. By following these patterns, users can enter only semantically correct questions which are unambiguously interpreted by the system. This novel feature enhances the interaction with and the usability of the CANaLI which also delivers a high level of accuracy and precision. In experiments conducted on well-known QA benchmarks, including questions on the encyclopedic DBpedia and on KBs from specialized domains, such as music and medicine, CANaLI typically outperforms other QA systems.
Word recognition is affected by the meaning of orthographic neighbours: Evidence from semantic decision tasks

Many models of word recognition predict that neighbours of target words will be activated during word processing. Cascaded models can make the additional prediction that semantic features of those neighbours get activated before the target has been uniquely identified. In two semantic decision tasks neighbours that were congruent (i.e., from the same category) or incongruent (i.e., from the opposite category) were presented in a long-term priming paradigm. Performance to targets was better if they were primed by congruent neighbours than if they were primed by incongruent neighbours. The same effect was found for rhyming and nonrhyming primes. The results support cascaded models that allow semantic information to become activated before lexical selection has finished.
DEPTH MAP BASED OBJECT TRACKING AND 3D POSITIONING FOR NON-STATIC CAMERA

This paper presents a real-time multi-object tracking and locating system based on visible-light camera and a depth map camera signals. The aim is to obtain the real location of the tracking objects in order to move automatically the source cameras to follow them. One of the big challenges of this approach is the fact that the source cameras will be moving as they follow the target. In addition to this, only one visible-light camera and one depth map camera are used for the tracking of the objects. The system combines image processing techniques and depth-based segmentation what allows more accurate boundaries detection and occlusion facing.
Fluorescence influence on screening decisions for oral malignant lesions.

OBJECTIVES The aim of the present study was to assess the capability of the low-cost VELscope device to visualize the tissue auto-fluorescence of potentially malignant oral lesions and to establish the diagnostic accuracy, sensitivity, and specificity of this method when validating the retrieved data through the gold standard, i.e., histological examination. PATIENTS, MATERIALS AND METHODS Eighteen patients were evaluated by conventional oral examination (COE) followed by direct visual fluorescence evaluation (DVFE) using VELscope. Areas clinically suspicious detected by COE or with positive DVFE (visual fluorescence loss) were further investigated using surgical biopsy. RESULTS Eight positive biopsies for malignant lesions were detected by COE and DVFE. Only one positive biopsy for a premalignant lesion was not in accordance with COE and DVFE. One lesion identified on the VELscope and COE as a non-malignant lesion was confirmed by the biopsy. Therefore, the VELscope system had a sensitivity of 94.44% and a specificity of 100% in discriminating in situ normal mucosa from carcinoma or from invasive carcinoma, compared with histology. The predictive positive value was 100% and the negative predictive value was 50%, with a 95% confidence interval (CI). CONCLUSIONS DVFE allows for a simple and cost-effective margin determination, in order to perform the detection and screening of oral precancerous and early cancerous disorders. It was found that the VELscope system could not fully replace the histopathology procedure. Nonetheless, the study demonstrated its usefulness for clinical examination, monitoring oral lesions, and guiding the biopsy. Therefore, this method may add sensitivity to the oral tissue examination and be an effective adjunct for high-risk patients.
CD300A promotes tumor progression by PECAM1, ADCY7 and AKT pathway in acute myeloid leukemia

CD300A is a member of the CD300 glycoprotein family of cell surface proteins involved in immune response signaling pathways. There is evidence that CD300A plays a role in autophagy and angiogenesis, while, no studies have been reported which investigated the role of CD300A in tumors. CD300A was found to be highly expressed with statistical significance in acute myeloid leukemia (AML), as well as associated with prognosis, through the analysis of differential expression genes using the TCGA and GTEx database. A decrease in CD300A expression could promote apoptosis and inhibit proliferation and migration of AML cell line U937, as well as promote the activation of the AKT/mTOR pathway. These results demonstrated that CD300A operated as a tumor promoter in AML cells. We further analyzed coexpression genes of CD300A and then screened two genes, ADCY7 and PECAM1, which were both overexpressed and associated with poor prognosis in AML. Meanwhile, CD300A increased the expression of PECAM1 and ADCY7 in U937 cells. Furthermore, we demonstrated that PECAM1 promoted the proliferation and migration and inhibited the apoptosis of U937 cells. ADCY7 participated in the regulation of proliferation and migration, but not apoptosis, in U937 cells. Both PECAM1 and ADCY7 promoted tumor progression through the AKT pathway, showing the same molecular mechanism as CD300A. To summarize, we, for the first time, confirmed that CD300A promoted tumor progression by increase PECAM1 and ADCY7 expression, and activating the AKT/mTOR signaling pathway in AML. It is suggested CD300A is an oncogene and potential therapeutic target for AML.
Oxytocin, Trust, and Trustworthiness: The Moderating Role of Music

Evidence has indicated that the neuroactive hormone oxytocin is essential for prosocial behavior, particularly trust. Exogenous administration of oxytocin has been shown to increase trust in humans. However, one may argue that, except the administration of oxytocin in nonhealthy patient groups (e.g., those with autism or anxiety disorders) to alleviate negative symptoms, external administration of oxytocin has little relevance in normal life. Music, a ubiquitous stimulus in human society, has been shown to increase oxytocin in medical therapy scenarios. Considering this evidence, we conducted a trust game experiment with a sample of healthy humans and investigated music’s effects on the (a) trustor’s oxytocin levels (blood sample measurement), (b) investment amount (trust behavior measurement), and (c) perception of the other player’s trustworthiness (self-report). The results of our exploratory study show that an increase in oxytocin levels over 40 trials in a trust game increased perceived trustworthiness in the no-music condition but had no impact on investment amount (i.e., trust behavior). Moreover, music had no effect on oxytocin, trust behavior, or perceived trustworthiness. Thus, unlike prior research showing that music listening may increase self-reported trust in another individual, in the present study we found no effect of music on trust (on either a physiological or behavioral level). We surmise that this finding is a result of both the type of music played during task execution and music preferences. Thus, future research must carefully manipulate music features (e.g., pitch, rhythm, timbre, tempo, meter, contour, loudness, and spatial location) and consider a listener’s music preferences to better understand music’s effects on physiological, perceived, and behavioral trust.
A Measurement Study of Open Resolvers and DNS Server Version

DNS is one of the most important infrastructure of the Internet, but it unfortunately suffers from malicious attacks, such as DDoS and cache poisoning. Study and investigation of currently-deployed DNS servers are needed to implement effective and efficient countermeasure. To cope with that, we sent probing requests to the whole IPv4 address space and collected DNS-related information, i.e., DNS server type distribution, DNS server software version distribution and FQDN distribution of DNS server. The measurement result shows that we obtained the addresses of about 30 million DNS servers, about 25 million open resolvers, and about 7 million DNS servers that responded to software version query request. Furthermore, we reversely looked up the DNS servers’ addresses to investigate the distribution of domain names. It revealed that there are many open resolvers in spammer-favored domains. We also discuss the relationship between the DNS amplification attack, a type of DDoS attack that abuses open resolvers, DNSSEC, and its countermeasures. DNSSEC significantly increases efficiency of the DNS amplification attack since its records typically amount to tens of thousand bytes.
Dihydroartemisinin and cisplatinum synergistically induced apoptosis in human lung adenocarcinoma H 1299 cells

Dihydroartemisinin (DHA), a kind of artemisinin derivatives, has been extensively investigated alone or together with other drugs for anti-cancer therapy in recent years. However, whether a synergistic effect between DHA and cisplatinum (Cis, an anti-cancer drug) existed in treatment of human lung adenocarcinoma is still unknown. This study was designed to explore the potential synergism of DHA and Cis using human lung adenocarcinoma H1299 cells. The cells were treated by DHA, Cis and DHA plus Cis respectively. Untreated cells were used as control. Cell inhibition and apoptosis were evaluated by MTT assays and flow cytometry. The apoptosis associated proteins were assessed by Western blotting and RT-qPCR. Flow cytometry revealed that both DHA and Cis induced significantly H1299 cell apoptosis compared to control group, while a higher apoptotic level was observed in DHA plus Cis treated group. Analysis of apoptotic proteins revealed that caspase-3, -8, -9 were significantly higher in DHA plus Cis treated cells than DHA or Cis alone. Meanwhile, The DHA plus Cis treatment also significantly enhanced caspase-8, -9, -3, -6, -7 and PARP activation compared with DHA or Cis alone, indicating that the caspase-8-related death receptor signaling pathway and the caspase-9-related mitochondrial signaling pathway may play important roles in the synergistic effect of DHA and Cis. In general, this study reveals the obvious synergistic action of the DHA and Cis in inducing apoptosis of H1299 cells via the death receptor and mitochondrial apoptosis pathway.
Methylation patterns of RASA3 associated with clinicopathological factors in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the sixth most common tumor worldwide. The relationship between the gene methylation accumulation and HCC has been widely studied. In our study, we used the Sequenom EpiTYPER assay to investigate the methylation levels of the RASA3 in 164 HCC samples and paired adjacent non-cancerous tissues, and the association between methylation level and clinicopathological features. The methylation level of the RASA3 in HCC samples was found significantly lower than that in the adjacent non-cancerous tissues (P<0.0001). Moreover, the hypomethylation of RASA3 in HCC samples was connected with the presence of tumornecrosis (P=0.029) and alcohol intake (P=0.002). Furthermore, it was found that the expression of RASA3 was significantly decreased in tumor tissues (P=0.0053), which was also correlated with the methylation levels of RASA3 gene. Thus, RASA3 hypomethylation is a common feature in HCC, and may be a potential mechanism for HCC development, and serves as a useful biomarker for the early detection, especially in alcohol-associated HCCs.
Noble Biomass: Restore, Recycle, Profit Using Cork Oak (Quercus suber L.)

Land use changes over recent decades have led to serious decline in natural ecosystems, in particular the Mediterranean forests. This is due mainly to uncontrolled urbanisation causing agricultural land to be abandoned or to become partially polluted. In such areas, forest restoration appears the most appropriate remedy, in particular, by using native species with high ecological and economic values, such as cork oak. This species can be used for noble biomass production, that is biomass not addressed for energy production but mainly for industrial purposes. This work describes a case study located in central Italy, which is characterised by the integration of forest restoration with water-saving management for irrigation purposes, based on the use of effluents from a phytodepuration plant. By joining thematic maps with a map of topographic wetness index (TWI) a suitable site was selected in the municipality of Tuscania for a cork oak plantation. An irrigation scheme, useful for maximising the growth rate of cork oak and consequently for maximising the economic profits retrievable from the plantation, was determined based on the estimated potential evapotranspiration using Thornthwaite’s equation, the soil type and the available wastewater. An economic analysis showed that the total cost of the works might be amortised within the first stripping of gentle cork or even before, for example, if cork oak was cultivated in conjunction with an economically relevant non-food species. In this case study, the advantages of dyeing species were analysed. Results show that an integrated forest restoration and wastewater
Language proficiency and mathematics achievement – Empirical study of language-induced obstacles in a high stakes test , the central exam ZP 10

By analysing of (co-)variance in high stakes test items (of the central exam ZP 10 written in the grade 10 classrooms in North Rhine-Westphalia, the study shows that language proficiency is the background factor with the strongest connection to mathematics achievement among all social and linguistic background factors. A differential functional analysis, an analysis of written products created by students and clinical interviews provide deeper insights into this connection and therefore a contribution to the empirical investigation of languageinduced obstacles in high stakes tests. They also refer to the epistemic function of language beyond reading obstacles.
Assessment of cross compatibility of pear (Pyrus communis L.) cultivars on the basis of pollen tube observations and analysis of the S-RNase gene

Diallel crosses of P. communis cultivars: 'Amfora', 'Radana', 'Red Williams', 'Carola', 'Conference', and 'Dicolor', were conducted under orchard and laboratory conditions at temperatures of 20°C and 28°C . Based on pollen tube observations and after the determination of the S genotypes, the usefulness of these pear cultivars as cross pollinators was evaluated as good and very good.
New Approach to Supervise Localization Algorithms

The localization algorithms have different errors which can impair the robot's navigation. In this way, we propose an approach that will supervise the localization while the robot navigate. Our approach is based on another work present in the literature, where we detected a problem during its analysis. Therefore, this article will present a new method based on the RLS algorithm, to solve the identified problem. Besides, we propose the supervision of two more localization algorithms, being now four the supervised algorithms, namely: Augmented Monte Carlo Localization, Extended Kalman Filter with Beacons, Perfect Match and Odometry. The results show that the robustness and reliability of the system were increased.