Miracle-dz/UniFAR-FTUs huggingface dataset:
A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction

The investment on the stock market is prone to be affected by the Internet. For the purpose of improving the prediction accuracy, we propose a multi-task stock prediction model that not only considers the stock correlations but also supports multi-source data fusion. Our proposed model first utilizes tensor to integrate the multi-sourced data, including financial Web news, investors' sentiments extracted from the social network and some quantitative data on stocks. In this way, the intrinsic relationships among different information sources can be captured, and meanwhile, multi-sourced information can be complemented to solve the data sparsity problem. Secondly, we propose an improved sub-mode coordinate algorithm (SMC). SMC is based on the stock similarity, aiming to reduce the variance of their subspace in each dimension produced by the tensor decomposition. The algorithm is able to improve the quality of the input features, and thus improves the prediction accuracy. And the paper utilizes the Long Short-Term Memory (LSTM) neural network model to predict the stock fluctuation trends. Finally, the experiments on 78 A-share stocks in CSI 100 and thirteen popular HK stocks in the year 2015 and 2016 are conducted. The results demonstrate the improvement on the prediction accuracy and the effectiveness of the proposed model.
On the Subnet Prune and Regraft Distance

Phylogenetic networks are rooted directed acyclic graphs that represent evolutionary relationships between species whose past includes reticulation events such as hybridisation and horizontal gene transfer. To search the space of phylogenetic networks, the popular tree rearrangement operation rooted subtree prune and regraft (rSPR) was recently generalised to phylogenetic networks. This new operation – called subnet prune and regraft (SNPR) – induces a metric on the space of all phylogenetic networks as well as on several widely-used network classes. In this paper, we investigate several problems that arise in the context of computing the SNPR-distance. For a phylogenetic tree $T$ and a phylogenetic network $N$, we show how this distance can be computed by considering the set of trees that are embedded in $N$ and then use this result to characterise the SNPR-distance between $T$ and $N$ in terms of agreement forests. Furthermore, we analyse properties of shortest SNPR-sequences between two phylogenetic networks $N$ and $N'$, and answer the question whether or not any of the classes of tree-child, reticulation-visible, or tree-based networks isometrically embeds into the class of all phylogenetic networks under SNPR.
Record Deduplication Approaches and Algorithm for Removing Duplicate Data

: In today’s world, by increasing the volume of information available in digital libraries, most of the system may be affected by the existence of replicas in their database which causes some issues like performance degradation, increasing operational cost and the lack of quality. This can be removed by the process of record deduplication. The record deduplication refers to identifying the same entity with different representations. This paper presents an record deduplication techniques and algorithms that detect and remove the duplicate records.
Instrumentation Amplifier design: Comparison of CMOS-memristive to CMOS design

An instrumentation amplifier (InAmp) is an electronic device used in many applications, where test and measuring accuracy is required. However, one of the drawbacks of an InAmp is limited operation gain range. In this paper, we investigate the possibility of replacing CMOS transistors in InAmp with memristive devices. The application of memristors in CMOS instrumentation amplifier design has lead to reduction of on-chip area and power consumption, comparing to the original design. The memristor based implementation of InAmp design has an improved gain. The advantages of memristor application are shown, and DC and operation gain range are discussed in this paper. Furthermore, variability analysis and performance variation with respect to the temperature variation is provided. In addition, the noise sensitivity analysis is performed. Moreover, varying values of resistance levels of memristors, the operation gain range, gain accuracy as well as a the noise reduction can be improved.
Predicting Political Tendency of Posts on Facebook

Facebook is the most popular social networking website. Every post on Facebook actually can imply the user's emotion or opinion. In this paper, we present our analysis on posts associated with left- and right-wing politics in the United States of America. Our dataset contains posts several related Facebook fan pages. We analyze sentiment of posts for the prediction of left- or right-wing politics. We build sentiment features for the prediction and evaluate prediction performance. The results show that F1-score can be as high as 0.95 when TF-IDF is used with a decision tree. Posts generally involve emotional words. We use the lexical databases for sentiment analysis. Our experiment results show that the sentiment analysis is sensitive to some classification algorithms.
Mental Health and Retention in HIV Care: A Systematic Review and Meta-Analysis

Objective: Mental health (MH) diagnoses, which are prevalent among persons living with HIV infection, might be linked to failed retention in HIV care. This review synthesized the quantitative evidence regarding associations between MH diagnoses or symptoms and retention in HIV care, as well as determined if MH service utilization (MHSU) is associated with improved retention in HIV care. Method: A comprehensive search of the Centers for Disease Control and Prevention’s HIV/AIDS Prevention Research Synthesis database of electronic (e.g., MEDLINE, EMBASE, PsycINFO) and manual searches was conducted to identify relevant studies published during January 2002–August 2017. Effect estimates from individual studies were pooled by using random-effects meta-analysis, and a moderator analysis was conducted. Results: Forty-five studies, involving approximately 57,334 participants in total, met the inclusion criteria: 39 examined MH diagnoses or symptoms, and 14 examined MHSU. Overall, a significant association existed between MH diagnoses or symptoms, and lower odds of being retained in HIV care (odds ratio, OR = 0.94; 95% confidence interval [CI] [0.90, 0.99]). Health insurance status (&bgr; = 0.004; Z = 3.47; p = .001) significantly modified the association between MH diagnoses or symptoms and retention in HIV care. In addition, MHSU was associated with an increased odds of being retained in HIV care (OR = 1.84; 95% CI [1.45, 2.33]). Conclusions: Results indicate that MH diagnoses or symptoms are a barrier to retention in HIV care and emphasize the importance of providing MH treatment to HIV patients in need.
Improving Image Captioning with Conditional Generative Adversarial Nets

In this paper, we propose a novel conditional-generativeadversarial-nets-based image captioning framework as an extension of traditional reinforcement-learning (RL)-based encoder-decoder architecture. To deal with the inconsistent evaluation problem among different objective language metrics, we are motivated to design some “discriminator” networks to automatically and progressively determine whether generated caption is human described or machine generated. Two kinds of discriminator architectures (CNN and RNNbased structures) are introduced since each has its own advantages. The proposed algorithm is generic so that it can enhance any existing RL-based image captioning framework and we show that the conventional RL training method is just a special case of our approach. Empirically, we show consistent improvements over all language evaluation metrics for different state-of-the-art image captioning models. In addition, the well-trained discriminators can also be viewed as objective image captioning evaluators.
Practices, Perceived Benefits, and Barriers to Resistance Training Among Women Enrolled in College

The American College of Sports Medicine (ACSM) has recommended that resistance training be performed at least twice per week, with 8–12 repetitions of 8–10 exercises targeting all major muscle groups (1). However, Kruger, Carlson, and Kohl (18) reported that women were participating less than the U.S. population on the whole, as only 20% of women were engaging in resistance training two or more times per week. In order to better understand why only 1 in 5 women participate regularly in this form of physical activity, this study investigated current resistance training practices, perceived benefits, and barriers to resistance training among college women. One-hundred and sixteen women college students from a large, public, Midwestern university participated in this study. Correlation and hierarchical multiple regression analyses were used to identify the strongest predictors of resistance training behaviors. The predictors in the regression model included demographic characteristics in block one, perceived barriers to resistance training in block two, and perceived benefits of resistance training in block three. Results indicated that the level of perceived “time/effort” barriers significantly predicted resistance training behavior. Findings in this area may help researchers, university recreation programmers, personal trainers, and other health and fitness professionals better understand the attitudes and actions of college women regarding resistance training, toward the goal of promoting fitness center environments that college women find more inviting.
Overexpression of Gs, Protein in the Hearts of Transgenic Mice

Alterations in fi-adrenergic receptor-G. -adenylyl cyclase coupling underlie the reduced catecholamine responsiveness that is a hallmark of human and animal models of heart failure. To study the effect of altered expression of Gs. , we overexpressed the short isoform of Gs,, in the hearts of transgenic mice, using a rat a-myosin heavy chain promoter. G. mRNA levels were increased selectively in the hearts of transgenic mice, with a level 38 times the control. Despite this marked increase in mRNA, Western blotting identified only a 2.8-fold increase in the content of the Gs,, short isoform, whereas G, activity was increased by 88%. The discrepancy between Gs. mRNA and Gs,, protein levels suggests that the membrane content of Gsa is posttranscrip-tionally regulated. The steady-state adenylyl cyclase catalytic activity was not altered under either basal or stimulated conditions (GTP + isoproterenol, GTPyS, NaF, or forskolin). However, progress curve studies did show a significant decrease in the lag period necessary for GppNHp to stimulate adenylyl cyclase activity. Furthermore, the relative number of /3-adrenergic receptors binding agonist with high affinity was significantly increased. Our data demonstrate that a relatively small increase in the amount of the coupling protein Gs. can modify the rate of catalyst activation and the formation of agonist high affinity receptors. (J. Clin. Invest. 1995. 95:1676-1683.)
On Deep Ensemble Learning from a Function Approximation Perspective

In this paper, we propose to provide a general ensemble learning framework based on deep learning models. Given a group of unit models, the proposed deep ensemble learning framework will effectively combine their learning results via a multilayered ensemble model. In the case when the unit model mathematical mappings are bounded, sigmoidal and discriminatory, we demonstrate that the deep ensemble learning framework can achieve a universal approximation of any functions from the input space to the output space. Meanwhile, to achieve such a performance, the deep ensemble learning framework also impose a strict constraint on the number of involved unit models. According to the theoretic proof provided in this paper, given the input feature space of dimension d, the required unit model number will be 2d, if the ensemble model involves one single layer. Furthermore, as the ensemble component goes deeper, the number of required unit model is proved to be lowered down exponentially.
National Patient Safety Program in Brazil: Incidents Reported Between 2014 and 2017

Supplemental digital content is available in the text. Objective The aim of the study was to analyze the patient safety incidents reported to the Brazilian National Health Surveillance System from March 2014 to March 2017. Method A documentary study that used the records of the incidents published in the Reports of Adverse Events (AE) in Brazil. The following variables were selected: number of incidents by type, type of health service, hospital unit, and degree of harm. To find whether there was a significant difference across the Brazilian regions by notifications related to general incidents, AE, and deaths, the analysis of variance and the Tukey tests were used. Results A total of 109,082 incidents were reported, of which 75,088 were AE, with 649 deaths. In relation to the types of incidents reported, there was a higher frequency in the categories other (30.04%) and failures during health care (26.72%). A total of 93.90% of the incidents occurred in hospitals, with 54,950 cases registered in hospitalization units and 30,141 cases in intensive care units. Statistically significant differences across the Brazilian regions were observed in the number of incidents (P = 0.004), AE (P = 0.004), and deaths (P = 0.024). Conclusions A significant underreporting of incidents was found in Brazil, demonstrating only the tip of a giant iceberg. More than half of the incidents were reported as AE and were registered in hospitals, reiterating the importance of establishing public health policies at national, state, and municipal levels, with adequate supervision of the health service regarding the implementation of the Patient Safety Nuclei and the preparation of new protocols based on the most prevalent incidents.
Etude de l'encrassement biologique de matériaux cimentaires en eau de rivière : analyse de l'influence des paramètres de surface des pâtes cimentaires

Les aspects biologiques ne sont generalement pas consideres lors de la conception des ouvrages de genie civil, malgre que la biocolonisation puisse affecter leur durabilite. Cette these s’interesse a l’encrassement biologique des materiaux cimentaires en eau de riviere. Un essai de biocolonisation phototrophe acceleree, simulant les conditions en riviere a ete mis au point et valide. Il a permis l’etude de pâtes cimentaires de differentes formulations. La colonisation a ete evaluee par le taux de recouvrement de la surface, estime par une methode proposee d’analyse d’images. Une etude de l’influence de la rugosite sur la bioreceptivite du materiau a ete realisee a travers plusieurs parametres de differentes natures et la densite de pics (parametre d’espacement) a montre l’influence la plus determinante. Un modele a ete propose pour expliquer cette influence et a donne des resultats satisfaisants. Les influences de la porosite et du pH semblent etre limitees dans les conditions de l’essai. Enfin, la micro-indentation a ete adaptee pour l’evaluation mecanique de la deterioration des pâtes cimentaires sur de faibles epaisseurs. Cette technique pourra etre utilisee pour evaluer la biodeterioration.
IgG Responses to the Plasmodium falciparum Antigen VAR2CSA in Colombia Are Restricted to Pregnancy and Are Not Induced by Exposure to Plasmodium vivax

Clinical immunity to malaria is associated with the acquisition of IgG specific for members of the Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) family of clonally variant antigens on the surface of infected erythrocytes (IEs). The VAR2CSA subtype of PfEMP1 mediates IE binding in the placenta. ABSTRACT Clinical immunity to malaria is associated with the acquisition of IgG specific for members of the Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) family of clonally variant antigens on the surface of infected erythrocytes (IEs). The VAR2CSA subtype of PfEMP1 mediates IE binding in the placenta. VAR2CSA-specific IgG is normally acquired only after exposure to placental parasites. However, it was recently reported that men and children from Colombia often have high levels of functional VAR2CSA-specific IgG. This potentially undermines the current understanding of malaria immunity in pregnant women, and we thus conducted a study to assess further the levels of VAR2CSA-specific IgG in pregnant and nonpregnant Colombians. Plasma IgG against two full-length recombinant PfEMP1 proteins (one of the VAR2CSA type and one not) produced in baculovirus-transfected insect cells was detected frequently among Colombian men, children, and pregnant women with acute or previous malaria exposure. In contrast, IgG reactivity to a homologous full-length VAR2CSA-type protein expressed in Chinese hamster ovary (CHO) cells was low and infrequent among the Colombian plasma samples, as was reactivity to both corresponding native PfEMP1 proteins. Moreover, human and rabbit antibodies specific for Plasmodium vivax Duffy-binding protein (PvDBP), a protein with some homology to PfEMP1, did not react with VAR2CSA-type recombinant or native proteins, although the mouse monoclonal and PvDBP-specific antibody 3D10 was weakly reactive with recombinant proteins expressed in baculovirus-transfected insect cells. Our data indicate that the previously reported Colombian IgG reactivity to recombinant VAR2CSA is not malaria specific and that the acquisition of VAR2CSA-specific IgG is restricted to pregnancy, in Colombia and elsewhere.
The efficacy of intravitreal dexamethasone implant as the first-line treatment for retinal vein occlusion-related macular edema in a real-life scenario

Purpose: This study evaluated the effect of intravitreal dexamethasone implant (IDI; Ozurdex) injection for treating macular edema in patients with branch retinal vein occlusion (BRVO) or central retinal vein occlusion (CRVO). Methods: This prospective study included 40 eyes of 40 patients with nonischemic BRVO and 31 eyes of 31 patients with nonischemic CRVO who received IDI injection as the first-line treatment for macular edema. The best-corrected visual acuity (BCVA) value before and after the treatment; intraocular pressure; optic coherence tomography findings; and all ocular examination findings, including central foveal thickness (CFT) measurement and fluorescein angiography findings, were evaluated for each patient. Results: After the IDI injection, BCVA value increased (P < 0.001) and CFT value decreased (P < 0.001) in both groups. The recurrence rates of CFT elevation after the first and the second Ozurdex injections were 65.0% and 65.3%, respectively, in patients with BRVO and 70.9% and 68.1%, respectively, in patients with CRVO. A statistically significant correlation was observed between preinjection CFT value and postinjection recurrence of CFT elevation (P = 0.017). Conclusion: Treatment with the IDI injections resulted in significant short-term improvement in CFT and BCVA values in patients with clinically significant RVO-related macular edema. Moreover, we observed that high preinjection CFT value was associated with a risk of postinjection recurrence of CFT elevation.
The effects of a synthetic analogue of the Bovine Appeasing Pheromone on milk yield and composition in Valdostana dairy cows during the move from winter housing to confined lowland pastures

This Research Communication describes the effects of a synthetic analogue of the Bovine Appeasing Pheromone (BAP) on milk parameters in Valdostana dairy cows during the first turning out from tie-stalls to confined lowland pastures around the farms. Thirty healthy lactating Valdostana cows were enroled in the study and randomly divided into 2 groups: experimental group (EG, n = 15) and control group (CG, n = 15). The two groups were separately housed in the same farm and managed outside in two different pens. Treatment (BAP and solution) and control (solution only) were poured on the nuchal skin area between the horns when the animals were inside the farm at the feeding rack every 7 d for 28 d (T0–T4). Milk samples were evaluated at the same time points (T0–T4). Daily milk production (kg/day) was higher in the EG than in the CG, particularly during the first day after the turning out to pasture (T1). Somatic Cell Count (103 cells/ml) was higher in the placebo group than in the EG, especially at T1. Proteins, fat, fat-free dry matter and casein (g/100 g) were not affected by the treatment. In T1 urea (mg/dl) content was higher in CG vs. EG, suggesting a more correct metabolic balance in the group treated with BAP. The use of BAP appears to modulate adaptation in ways that may improve dairy cow performance in the context of changes in management routines.
Kernel Pre-Training in Feature Space via m-Kernels

This paper presents a novel approach to kernel tuning. The method presented borrows techniques from reproducing kernel Banach space (RKBS) theory and tensor kernels and leverages them to convert (re-weight in feature space) existing kernel functions into new, problem-specific kernels using auxiliary data. The proposed method is applied to accelerating Bayesian optimisation via covariance (kernel) function pre-tuning for short-polymer fibre manufacture and alloy design.
Is computerised 3D templating more accurate than 2D templating to predict size of components in primary total hip arthroplasty?

Introduction: The aim of this study was to compare the accuracy of preoperative templating in total hip arthroplasty (THA) using conventional 2-dimensional (2D) and computed tomography (CT)-based 3-dimensional (3D) measures. Methods: One hundred and sixteen consecutive primary THAs were analysed. The preoperative diagnosis was primary osteoarthritis in all cases. The 2D templating and the 3D templating were performed by two different residents. All templating results were available for the orthopaedic surgeon performing the procedure. Accuracies with regard to the predicted and actual implant sizes were determined for each procedure. Implantation of the size as planned was defined as “exact”, whereas the use of components within one size larger or smaller (±1) as planned were defined as “accurate. ” Results: The 3D templating was significantly more accurate in predicting implant sizing compared to 2D templating for primary total hip arthroplasty (THA). The difference was statistically significant for the cup templating (‘‘exact’’ p = 0.02; ‘‘accurate’’ p = 0.01) and for the stem templating (‘‘exact’’ p = 0.04; ‘‘accurate’’ p = 0.01). Conclusion: Our results support the superiority of 3D templating over 2D templating in predicting implant size.
The UCP2 -866G/A, Ala55Val and UCP3 -55C/T polymorphisms are associated with premature coronary artery disease and cardiovascular risk factors in Mexican population

Abstract We examined the role of UCP gene polymorphisms as susceptibility markers for premature coronary artery disease (pCAD). The UCP2 Ala55Val (C/T rs660339), UCP2 -866G/A (rs659366), and UCP3 -55C/T (rs1800849) polymorphisms were genotyped in 948 patients with pCAD, and 763 controls. The distribution of the UCP2 A55V (C/T rs660339) and UCP3 -55 (rs1800849) was similar in patients and controls. However, under a recessive model, the UCP2 -866 (rs659366) A allele was associated with increased risk of developing pCAD (OR = 1.43, Pc = 0.003). On the other hand, patients with pCAD and UCP2 A55V (rs660339) TT showed high levels of visceral abdominal fat (VAF) (Pc = 0.002), low levels of subcutaneous abdominal fat (SAF) (Pc = 0.001) and high VAT/SAT ratio (Pc < 0.001). Also, patients with UCP2 -866 (rs659366) AA showed increased levels of VAF (Pc = 0.003), low levels of SAF (Pc = 0.001) and a high VAT/SAT ratio (Pc = 0.002), whereas patients with the UCP3 -55 (rs1800849) TT presented high levels of VAF (Pc = 0.002). The results suggest the association of the UCP2 -866 (rs659366) polymorphism with risk of developing pCAD. Some polymorphisms were associated with abdominal fat levels and cardiovascular risk factors.