Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Multimodal Taxonomy via Variational Deep Graph Embedding and Clustering

Taxonomy learning is an important problem and facilitates various applications such as semantic understanding and information retrieval. Previous work for building semantic taxonomies has primarily relied on labor-intensive human contributions or focused on text-based extraction. In this paper, we investigate the problem of automatically learning multimodal taxonomies from the multimedia data on the Web. A systematic framework called Variational Deep Graph Embedding and Clustering (VDGEC) is proposed consisting of two stages as concept graph construction and taxonomy induction via variational deep graph embedding and clustering. VDGEC discovers hierarchical concept relationships by exploiting the semantic textual-visual correspondences and contextual co-occurrences in an unsupervised manner. The unstructured semantics and noisy issues of multimedia documents are carefully addressed by VDGEC for high quality taxonomy induction. We conduct extensive experiments on the real-world datasets. Experimental results demonstrate the effectiveness of the proposed framework, where VDGEC outperforms previous unsupervised approaches by a large gap.
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU

Given a high-order, large-scale and sparse data from big data and industrial applications, how can we acquire useful patterns in a real-time and low memory overhead manner? Sparse Non-negative tensor factorization (SNTF) possesses high-order representation, non-negativity and dimension reduction inherence. Thus, SNTF has become a useful tool to represent and analyze the sparse data, which has been incorporated with extra contextual information, i.e., time and location, etc, more than the matrix, which can only model the 2 ways data. However, current SNTF techniques suffer from a) non-linear time and space overhead, b) intermediate data explosion, and c) inability on GPU and multi-GPU. To address these issues, a single-thread-based SNTF is proposed, which involves the feature elements rather than on the whole factor matrices, and can avoid the forming of large-scale intermediate matrices. Then, a CUDA parallelizing single-thread-based SNTF (CUSNTF) model is proposed for industrial applications on GPU and multi-GPU (MCUSNTF). Thus, CUSNTF has linear computing and space complexity, and linear communication cost on multi-GPU. We implement CUSNTF and MCUSNTF on 8 P100 GPUs, and compare it with state-of-the-art parallel and distributed methods. Experimental results from several industrial datasets demonstrate that the linear scalability and efficiency of CUSNTF.
Machine Reading Comprehension Based on the Combination of BIDAF Model and Word Vectors

For humans1, reading comprehension is the most basic ability to acquire knowledge. The reading capabilities of machines are considered to be the basic capabilities of next-generation search engines and artificial intelligence products. Machine Comprehension (MC) requires complex interactions between contextual paragraphs and questions to answer the questions raised for a given contextual paragraph. This paper proposes a method based on the combination of Bi-Directional Attention Flow (BIDAF) model and word vectors, the model uses a two-way attention flow mechanism to capture context and problem attention. The experimental evaluation found that the method has a significant improvement over the previous Match-LSTM network, thus verifying the effectiveness of the method.
Genome-Wide Identification and Characterization of wALOG Family Genes Involved in Branch Meristem Development of Branching Head Wheat

The branched spike phenotype is an important supernumerary spikelet trait of Triticum turgidum L. associated with the production of significantly more grains per spike, thereby offering a higher potential yield. However, the genetic basis of branch meristem (BM) development remains to be fully elucidated in wheat. TAW1, an ALOG (Arabidopsis LSH1 and Oryza G1) family gene, has been shown to function as a unique regulator in promoting BM development in rice. In this study, we found that the development pattern of the BMs of the branched spike in wheat was similar to the indeterminate BMs of rice. Moreover, phylogenetic analysis classified the ALOG genes into 12 groups. This family of genes was found to have evolved independently in eudicots and monocots and was evolutionarily conserved between wheat and rice as well as during wheat polyploidization. Furthermore, experiments revealed that TtALOG2-1A, a TAW1-homologous gene, plays a significant role in regulating the transition of indeterminate BM fate. Finally, large-scale RNA-sequencing studies and quantitative real-time polymerase chain reaction (qRT-PCR) experiments revealed that members of the TtALOGs may act upstream of the TtMADS22, TtMADS47, and TtMADS55 genes to promote indeterminate BM activities. Our findings further knowledge on BM development in wheat.
Association of sleep with neurobehavioral impairments during inpatient rehabilitation after traumatic brain injury.

BACKGROUND Sleep disturbance is a common sequela after traumatic brain injury (TBI). Many of the impairments following TBI may be exacerbated by impaired sleep-wake cycle regulation. OBJECTIVES To investigate the relationship between total sleep time (TST), measured by wrist actigraphy and observational sleep logs, and neurobehavioral impairments during inpatient rehabilitation after TBI. METHODS Twenty-five subjects undergoing inpatient rehabilitation for traumatic brain injury were included. TST was measured using wrist actigraphy and observational sleep logs. Neurobehavioral impairments were assessed using the Neurobehavioral Rating Scale-Revised (NRS-R), a multidimensional clinician-based assessment. RESULTS Of 25 subjects enrolled, 23 subjects completed the study. A significant negative correlation was found between total NRS-R and TST calculated by observational sleep logs (r = -0.28, p = 0.007). The association between total NRS-R and TST, as calculated by actigraphy, was not significantly correlated (R = -0.01, p = 0.921). CONCLUSIONS Sleep disturbance during inpatient rehabilitation is associated with neurobehavioral impairments after TBI. TST measured by actigraphy may be limited by sleep detection algorithms that have not been validated in certain patient populations. Considerations should be made regarding the feasibility of using wearable sensors in patients with cognitive and behavioral impairments. Challenges regarding actigraphy for sleep monitoring in the brain injury population are discussed.
Atrophy subtypes in prodromal Alzheimer’s disease are associated with cognitive decline

Alzheimer's disease is a heterogeneous disorder. Understanding the biological basis for this heterogeneity is key for developing personalized medicine. We identified atrophy subtypes in Alzheimer's disease dementia and tested whether these subtypes are already present in prodromal Alzheimer's disease and could explain interindividual differences in cognitive decline. First we retrospectively identified atrophy subtypes from structural MRI with a data-driven cluster analysis in three datasets of patients with Alzheimer's disease dementia: discovery data (dataset 1: n = 299, age = 67 ± 8, 50% female), and two independent external validation datasets (dataset 2: n = 181, age = 66 ± 7, 52% female; dataset 3: n = 227, age = 74 ± 8, 44% female). Subtypes were compared on clinical, cognitive and biological characteristics. Next, we classified prodromal Alzheimer's disease participants (n = 603, age = 72 ± 8, 43% female) according to the best matching subtype to their atrophy pattern, and we tested whether subtypes showed cognitive decline in specific domains. In all Alzheimer's disease dementia datasets we consistently identified four atrophy subtypes: (i) medial-temporal predominant atrophy with worst memory and language function, older age, lowest CSF tau levels and highest amount of vascular lesions; (ii) parieto-occipital atrophy with poor executive/attention and visuospatial functioning and high CSF tau; (iii) mild atrophy with best cognitive performance, young age, but highest CSF tau levels; and (iv) diffuse cortical atrophy with intermediate clinical, cognitive and biological features. Prodromal Alzheimer's disease participants classified into one of these subtypes showed similar subtype characteristics at baseline as Alzheimer's disease dementia subtypes. Compared across subtypes in prodromal Alzheimer's disease, the medial-temporal subtype showed fastest decline in memory and language over time; the parieto-occipital subtype declined fastest on executive/attention domain; the diffuse subtype in visuospatial functioning; and the mild subtype showed intermediate decline in all domains. Robust atrophy subtypes exist in Alzheimer's disease with distinct clinical and biological disease expression. Here we observe that these subtypes can already be detected in prodromal Alzheimer's disease, and that these may inform on expected trajectories of cognitive decline.
Survivin inhibits excessive autophagy in cancer cells but does so independently of its interaction with LC3

ABSTRACT Survivin expression is pivotal to life and death at the cellular level. For the past decade its pro-survival activity has been attributed to its essential role in cell proliferation and its ability to inhibit apoptosis. However, a growing body of evidence suggests that it may also contribute to cell viability through an as yet undefined role in autophagy. We report that survivin overexpression in osteosarcoma (U2OS) cells is associated with increased LC3-II expression, smaller autophagosomes, enlarged lysosomes and reduced autophagic flux. We also demonstrate that survivin binds LC3 directly through a canonical LC3-interacting region (LIR) in its baculovirus inhibitors of apoptosis protein (IAP) repeat BIR domain, mutation of which inhibits the interaction, but does not abrogate its influence on autophagy. Collectively these data suggest that survivin expression restricts autophagic flux, thereby inhibiting late-stage autophagy and preventing cell death, but does so independently of LC3. Summary: Survivin binds to LC3 through a canonical LIR, yet this interaction is not required for survivin overexpression to reduce autophagic flux, suggesting that survivin regulates autophagy via an alternative mechanism.
Ionically Crosslinked Chitosan Membranes Used as Drug Carriers for Cancer Therapy Application

The aim of this paper was to prepare, by the freeze-drying method, ionically crosslinked chitosan membranes with different contents of pentasodium tripolyphosphate (TPP) and loaded with 1,4-naphthoquinone (NQ14) drug, in order to evaluate how the physical crosslinking affects NQ14 release from chitosan membranes for cancer therapy application. The membranes were characterized by Fourier transform infrared spectroscopy (FTIR), wide-angle X-ray diffraction (WAXD), scanning electron microscopy (SEM), swelling degree, and through in vitro drug release and cytotoxicity studies. According to the results, the molecular structure, porosity and hydrophilicity of the chitosan membranes were affected by TPP concentration and, consequently, the NQ14 drug release behavior from the membranes was also affected. The release of NQ14 from crosslinked chitosan membranes decreased when the cross-linker TPP quantity increased. Thus, depending on the TPP amount, the crosslinked chitosan membranes would be a potential delivery system to control the release of NQ14 for cancer therapy application. Lastly, the inhibitory potential of chitosan membranes ionically crosslinked with TPP and loaded with NQ14 against the B16F10 melanoma cell line was confirmed through in vitro cytotoxicity studies assessed via MTT assay. The anti-proliferative effect of prepared membranes was directly related to the amount of cross-linker and among all membranes prepared, such that one crosslinked with 0.3% of TPP may become a potential delivery system for releasing NQ14 drug for cancer therapy.
Using Virtual Reality to Assess Associations Between Paranoid Ideation and Components of Social Performance: A Pilot Validation Study

Virtual reality (VR) enables the real-time assessment of paranoid ideation and of associated social performance. In this two-phase study, we aimed to recruit a general population sample to investigate the association between trait paranoia and cognitive, emotional, and behavioral components of social performance. In phase 1, a general population online survey (N = 609) investigated how trait paranoia related to fear of negative evaluation (FNE), interpersonal sensitivity, social avoidance and distress (SAD), mood, and demographic characteristics. In phase 2, we piloted a new VR social situation paradigm (a party in a bar) with a subsample of participants who scored high or low in trait paranoia. Eighty-nine participants entered the VR party in a bar scenario to evaluate the acceptability of the task and the relationship between paranoid ideation and social performance. As hypothesized, in phase 1, trait paranoia was associated with FNE, SAD, interpersonal sensitivity, mood, and demographics (all small-to-medium effects); in phase 2, participants found the VR environment acceptable and immersive; exposure to the VR environment elicited a range of cognitive, emotional, and behavioral components of social performance; and high trait paranoia participants reported higher state paranoia and greater negative components of social performance (all medium effects). The study tests a novel sample recruited predominantly online and validates the virtual environment for psychological assessment and treatment. This result suggests that the new VR scenario could be used as a psychological assessment and treatment tool for people who experience paranoia in social situations.
CYP81A P450s are involved in concomitant cross-resistance to acetolactate synthase and acetyl-CoA carboxylase herbicides in Echinochloa phyllopogon.

Californian populations of Echinochloa phyllopogon have evolved multiple-herbicide resistance (MHR), posing a threat to rice production in California. Previously, we identified two CYP81A cytochrome P450 genes whose overexpression is associated with resistance to acetolactate synthase (ALS) inhibitors from two chemical groups. Resistance mechanisms to other herbicides remain unknown. We analyzed the sensitivity of an MHR line to acetyl-CoA carboxylase (ACCase) inhibitors from three chemical groups, followed by an analysis of herbicide metabolism and segregation of resistance of the progenies in sensitive (S) and MHR lines. ACCase herbicide metabolizing function was investigated in the two previously identified P450s. MHR plants exhibited resistance to all the ACCase inhibitors by enhanced herbicide metabolism. Resistance to the ACCase inhibitors segregated in a 3 : 1 ratio in the F2 generation and completely co-segregated with ALS inhibitor resistance in F6 lines. Expression of the respective P450 genes conferred resistance to the three herbicides in rice, which is in line with the detection of hydroxylated herbicide metabolites in vivo in transformed yeast. CYP81As are super P450s that metabolize multiple herbicides from five chemical classes, and concurrent overexpression of the P450s induces metabolism-based resistance to the three ACCase inhibitors in MHR E. phyllopogon, as it does to ALS inhibitors.
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction

This paper targets a general popularity prediction problem for event sequence, which has recently gained great attention due to its extensive applications in various domains. Feature driven method and point process method are two basic thinking paradigms to tackle the prediction problem, but both of them suffer from limitations. In this paper, we propose PreNets unifying the two thinking paradigms in an adversarial manner. On one side, feature driven model acts like a 'critic' who aims to discriminate the predicted popularity from the real one based on a set of temporal features from the sequence. On the other side, point process model acts like an 'interpreter' who recognizes the dynamic patterns in sequence to generate a predicted popularity that can fool the 'critic'. Through a Wasserstein learning based two-player game, the training loss of the 'critic' guides the 'interpreter' to better exploit the sequence patterns and enhance prediction, while the 'interpreter' pushes the 'critic' to select effective early features that helps discrimination. This mechanism enables the framework to absorb the advantages of both feature driven and point process methods. Empirical results show that PreNets achieves significant MAPE improvement for both Twitter cascade and Amazon review prediction.
Telecoaching programme for type 2 diabetes control: a randomised clinical trial.

BACKGROUND: People with diabetes have a high risk of developing micro and macrovascular complications that increase treatment costs and shorten life expectancy. Telecoaching programmes can improve short-term control of diabetes and reduce disease burden. AIMS: To analyse the effect of a health telecoaching programme in the control of type 2 diabetes. METHODS: A pragmatic clinical trial was carried out. Thirty-one patients with type 2 diabetes were divided into control and intervention groups. The control group received usual nursing care, and those in the intervention group received usual care and telecoaching for 24 weeks. FINDINGS: The intervention group improved: measurements of abdominal circumference, systolic and diastolic blood pressure and body mass index; variables related to glycaemic control (fasting venous glucose and glycated haemoglobin/HbA1c); and high-density lipoprotein levels. CONCLUSION: The data indicate that telecoaching is an effective tool for diabetes management. It is recommended that the study should be developed to include more people and run over the long term.
Palin Parent-Child Interaction Therapy: The Bigger Picture.

Purpose Palin Parent-Child Interaction therapy (Kelman & Nicholas, 2008) is an evidence-based intervention for young children who stutter. The evidence consists of multiple single-subject replicated studies, and this demonstrates that the intervention is effective. The aim of this study was to enhance the evidence base by exploring the effectiveness of the therapy with a large cohort of children who stutter. Method Children and parents completed a range of assessments at 4 time points: start of therapy and then 3, 6, and 12 months later. The following variables were included: stuttering frequency, child's communication attitude, parents' perception of the impact of the stuttering on the child, the severity of stuttering and its impact on the parents, and their knowledge of stuttering and confidence in managing it. Hierarchical multiple regression analyses were conducted to explore whether the variables are predictive for the outcome "parent knowledge and confidence. " In addition, we sought a preliminary view of factors associated with outcome level by separating children into 2 groups according to response to treatment (more successful and less successful). Results The results demonstrated a significant improvement in all variables, and this improvement was maintained for 1 year posttreatment. Measures collected 3 months after the start of therapy showed significant improvement in child attitude to communication, parents' knowledge and confidence in how to manage stuttering, and mothers' ratings of stuttering severity and impact the child's stuttering has on the mothers. By 6 months after therapy onset, there was a significant reduction in stuttering frequency and fathers' perception of severity and their worry about it. Furthermore, these improvements were maintained 1 year posttherapy. Several variables predicted parents' knowledge and confidence 6 months after the start of therapy. Finally, those who made greater improvements had mothers who were more negative in their ratings of severity and worry, and had less knowledge and confidence at the start of therapy. There were no differences between the groups on a range of other variables. Conclusions The results demonstrate that, over a year, children who attend a course of Palin Parent-Child Interaction show reduced stuttering frequency and a more positive attitude to speech. In addition, parents observe these improvements in the child, feel more confident in managing the stuttering, and are less worried about it. The different times at which specific variables significantly improved provides insight to a process of change over time. Results suggest that parents' ability to notice positive change in fluency and the impact that these observations have on both the child and the family are linked to their confidence in how to support the child. The preliminary findings with regard to response to treatment suggest that children can benefit from this program even with factors that might be predicted to reduce therapy success.
Detection of Tropheryma whipplei in stool samples by one commercial and two in‐house real‐time PCR assays

Tropheryma whipplei, the causative agent of Whipple's disease, can also be identified in stool samples of humans without systemic disease. It is much more frequently detected in human stool samples in tropical environments than in industrialized countries. PCR‐screening has been applied for point prevalence studies and environmental assessments in tropical settings, but results depend on the applied assay. We compared one commercial qPCR kit with two well‐described in‐house assays for detection of T. whipplei from stool.
Educational delusions: why choice can deepen inequality and how to make schools fair

‘liberal’ policies on immigration and integration. During the 1970s, first, anti-immigrant attitudes emerged in response to the economic crisis. Anyone with an even cursory knowledge of popular and political responses to migration into the UK will find this problematic, and I suspect the same will hold for France and Germany as well. Second, it is proposed that a more specific hostility towards Muslims emerged during the 1980s. From here is proposed an interactive model between ever more assertive Muslim organizations responded to the claims of far-right politicians throwing into question the EU ‘liberal regime’. The result has been a popular Islamophobia that politicians have sought to respond. Whilst being wary of making causal claims about this sequence, and what follows is a long discussion of counter-factuals to challenge some of the more simplistic historical determinist clash of civilizations type of thinking. One is left with a rather frustrating conclusion. It is difficult to discern quite what the author is proposing as an analysis other than that the politicians got it wrong by not listening to public opinion. However, in all of this is missing the role of the media and politicians giving succour to racist and Islamophobic claims from the most blatant to more subtly coded claims.