Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentimental Content Analysis and Knowledge Extraction from News Articles

In web era, since technology has revolutionized mankind life, plenty of data and information are published on the Internet each day. For instance, news agencies publish news on their websites all over the world. These raw data could be an important resource for knowledge extraction. These shared data contain emotions (i.e., positive, neutral or negative) toward various topics; therefore, sentimental content extraction could be a beneficial task in many aspects. Extracting the sentiment of news illustrates highly valuable information about the events over a period of time, the viewpoint of a media or news agency to these events. In this paper an attempt is made to propose an approach for news analysis and extracting useful knowledge from them. Firstly, we attempt to extract a noise robust sentiment of news documents; therefore, the news associated to six countries: United State, United Kingdom, Germany, Canada, France and Australia in 5 different news categories: Politics, Sports, Business, Entertainment and Technology are downloaded. In this paper we compare the condition of different countries in each 5 news topics based on the extracted sentiments and emotional contents in news documents. Moreover, we propose an approach to reduce the bulky news data to extract the hottest topics and news titles as a knowledge. Eventually, we generate a word model to map each word to a fixed-size vector by Word2Vec in order to understand the relations between words in our collected news database.
Congenital Chagas disease: current diagnostics, limitations and future perspectives

Purpose of review Congenital transmission is an important route of Trypanosoma cruzi infection, both in Latin America and internationally, with considerable populations of infected women of child-bearing age residing in the United States and Europe. This review examines recent literature on congenital Chagas disease, with a focus on the changing clinical spectrum and potential new diagnostic tools. Recent findings Vertical transmission occurs in approximately 5–10% of births from T. cruzi-infected mothers. Historically, congenital Chagas disease was associated with high levels of neonatal morbidity and mortality. Bolivian birth cohort data from the early 1990s to the present indicate that the incidence of symptomatic neonatal disease has declined. Treatment with trypanocides is greater than 90% effective and well tolerated in infants. Current programs face challenges from the multistep screening algorithm, low sensitivity of microscopy and high loss to follow-up. Summary Congenital Chagas disease remains an important contributor to the global disease burden because of T. cruzi. PCR and related molecular techniques represent the most sensitive diagnostic modalities for early detection but require further optimization for resource-limited settings. Several novel diagnostic tests show promise for the future but further validation and adaptation to field settings are needed.
On Minimizing Energy Consumption for D2D Clustered Caching Networks

We formulate and solve the energy minimization problem for a clustered device-to-device (D2D) network with cache-enabled mobile devices. Devices are distributed according to a Poisson cluster process (PCP) and are assumed to have a surplus memory which is exploited to proactively cache files from a library. Devices can retrieve the requested files from their caches, from neighboring devices in their proximity (cluster), or from the base station as a last resort. We minimize the energy consumption of the proposed network under a random probabilistic caching scheme, where files are independently cached according to a specific probability distribution. A closed form expression for the D2D coverage probability is obtained. The energy consumption problem is then formulated as a function of the caching distribution, and the optimal probabilistic caching distribution is obtained. Results reveal that the proposed caching distribution reduces energy consumption up to 33% as compared to caching popular files scheme.
Correlates of Not Using Antiretroviral Therapy Among Transwomen Living with HIV: The Unique Role of Personal Competence

Abstract Purpose: This study tested three psychosocial measures for their potential to serve as counseling goals for promoting ART to transgender women living with HIV (TWLH). Methods: Among 69 TWLH, 17.4% were not taking ART; these volunteers were compared to the remainder using multivariate regression analyses. Results: Only one psychosocial measure achieved significance: Personal Competence (Adjusted Odds Ratio = 0.80, 95% CI = 0.67–0.97, P = 0.02). Because this was a continuous measure, assessed on a 7-point scale, the protective adjusted odds ratio of 0.80 represents a 20% reduction in the odds of not taking ART for each unit of increase in this construct. Conclusion: Findings suggest a potential counseling goal for TWLH not taking ART.
Neurotransmitter- and Release-Mode-Specific Modulation of Inhibitory Transmission by Group I Metabotropic Glutamate Receptors in Central Auditory Neurons of the Mouse

Neuromodulation mediated by metabotropic glutamate receptors (mGluRs) regulates many brain functions. However, the functions of mGluRs in the auditory system under normal and diseased states are not well understood. The medial nucleus of the trapezoid body (MNTB) is a critical nucleus in the auditory brainstem nuclei involved in sound localization. In addition to the classical calyx excitatory inputs, MNTB neurons also receive synaptic inhibition and it remains entirely unknown how this inhibition is regulated. Here, using whole-cell voltage clamp in brain slices, we investigated group I mGluR (mGluR I)-mediated modulation of the glycinergic and GABAergic inputs to MNTB neurons in both WT mice and a fragile X syndrome (FXS) mouse model (both sexes) in which the fragile X mental retardation gene 1 is knocked out (Fmr1 KO), causing exaggerated activity of mGluR I and behavioral phenotypes. Activation of mGluR I by (RS)-3,5-dihydroxyphenylglycine (3,5-DHPG) increased the frequency and amplitude of glycinergic spontaneous IPSCs (sIPSCs) in both WT and Fmr1 KO neurons in a voltage-gated sodium channel-dependent fashion, but did not modulate glycinergic evoked IPSCs (eIPSCs). In contrast, 3,5-DHPG did not affect GABAergic sIPSCs, but did suppress eIPSCs in WT neurons via endocannabinoid signaling. In the KO, the effect of 3,5-DHPG on GABAergic eIPSCs was highly variable, which supports the notion of impaired GABAergic signaling in the FXS model. The differential modulation of sIPSC and eIPSC and differential modulation of glycinergic and GABAergic transmission suggest distinct mechanisms responsible for spontaneous and evoked release of inhibitory transmitters and their modulation through the mGluR I signaling pathway. SIGNIFICANCE STATEMENT Neurons communicate with each other through the release of neurotransmitters, which assumes two basic modes, spontaneous and evoked release. These two release modes are believed to function using the same vesicle pool and machinery. Recent works have challenged this dogma, pointing to distinct vesicle release mechanisms underlying the two release modes. Here, we provide the first evidence in the central auditory system supporting this novel concept. We discovered neural-transmitter- and release-mode-specific neuromodulation of inhibitory transmission by metabotropic glutamate receptors and revealed part of the signaling pathways underlying this differential modulation. The results establish the foundation for a multitude of directions to study physiological significance of different release modes in auditory processing.
Trends of HIV incidence and prevalence among men who have sex with men in Beijing, China: Nine consecutive cross-sectional surveys, 2008-2016

Background Sexual transmission of HIV among men who have sex with men (MSM) increased markedly in China during the past decade. HIV incidence is a critical indicator in HIV surveillance and we use a HIV-1 BED-capture-enzyme immunoassay (BED-CEIA) to examine the incidence among MSM in Beijing from 2008 to 2016. Risk factors related to recent HIV infection were also assessed. Methods Consecutive cross-sectional surveys on MSM were conducted yearly from 2008 through 2016. Demographic and behaviors data were collected. HIV status was determined and HIV positive specimens were tested for recent infection using BED-CEIA. Specimens with ODn values≤0.8 were considered recently infected, HIV incidence rates and prevalence were then calculated. Risk factors associated with recent HIV infection were assessed by univariate and multivariable logistic regression. Results From 2008 to 2016, the numbers of eligible participants in the nine consecutive years ranged from 472 to 616. All the 261 eligible HIV-positive specimens were subjected to recent HIV infection testing. HIV prevalence ranged from 5.0% (3.3%-6.8%) to 10.2% (7.8%-12.7%), and incidence ranged from 1.57% (0.19%-2.95%) to 6.63% (3.65%-9.61%). MSM who never or sometimes used condoms during anal sex with men in the past 6 months (aOR = 1.515, 95%CI: 1.016–2.257, p = 0.041), or having syphilis infection (aOR = 1.561, 95%CI: 0.946–2.575, p = 0.081) were more likely to be recently infected with HIV. Being a Beijing resident (aOR = 0.409, 95%CI: 0.212–0.790, p = 0.008), or having only one male anal sex partner in the past 6 months (aOR = 0.467, 95%CI: 0.220–0.994, p = 0.048) were associated with a lower risk for recent HIV infection. Conclusions The HIV incidence fluctuated among MSM in Beijing. Unprotected anal sex, having multiple sex partners, being a non-registered Beijing resident and having a syphilis infection play important roles in the recent HIV infection. Effective intervention measures for HIV and syphilis control and prevention should be continuously strengthened.
Starting from Scratch: Outcomes of Early Computer Science Learning Experiences and Implications for What Comes Next

Visual block-based programming environments (VBBPEs) such as Scratch and Alice are increasingly being used in introductory computer science lessons across elementary school grades. These environments, and the curricula that accompany them, are designed to be developmentally-appropriate and engaging for younger learners but may introduce challenges for future computer science educators. Using the final projects of 4th, 5th, and 6th grade students who completed an introductory curriculum using a VBBPE, this paper focuses on patterns that show success within the context of VBBPEs but could pose potential challenges for teachers of follow-up computer science instruction. This paper focuses on three specific strategies observed in learners' projects: (1) wait blocks being used to manage program execution, (2) the use of event-based programming strategies to produce parallel outcomes, and (3) the coupling of taught concepts to curricular presentation. For each of these outcomes, we present data on how the course materials supported them, what learners achieved while enacting them, and the implications the strategy poses for future educators. We then discuss possible design and pedagogical responses. The contribution of this work is that it identifies early computer science learning strategies, contextualizes them within developmentally-appropriate environments, and discusses their implications with respect to future pedagogy. This paper advances our understanding of the role of VBBPEs in introductory computing and their place within the larger K-12 computer science trajectory.
Prediction of peripheral nerve stimulation thresholds of MRI gradient coils using coupled electromagnetic and neurodynamic simulations

As gradient performance increases, peripheral nerve stimulation (PNS) is becoming a significant constraint for fast MRI. Despite its impact, PNS is not directly included in the coil design process. Instead, the PNS characteristics of a gradient are assessed on healthy subjects after prototype construction. We attempt to develop a tool to inform coil design by predicting the PNS thresholds and activation locations in the human body using electromagnetic field simulations coupled to a neurodynamic model. We validate the approach by comparing simulated and experimentally determined thresholds for 3 gradient coils.
Coaxioms: flexible coinductive definitions by inference systems

We introduce a generalized notion of inference system to support more flexible interpretations of recursive definitions. Besides axioms and inference rules with the usual meaning, we allow also coaxioms, which are, intuitively, axioms which can only be applied "at infinite depth" in a proof tree. Coaxioms allow us to interpret recursive definitions as fixed points which are not necessarily the least, nor the greatest one, whose existence is guaranteed by a smooth extension of classical results. This notion nicely subsumes standard inference systems and their inductive and coinductive interpretation, thus allowing formal reasoning in cases where the inductive and coinductive interpretation do not provide the intended meaning, but are rather mixed together.
What are they thinking?

Understanding student reasoning and identifying student misconceptions are important precursors to developing high quality pedagogical materials and approaches. In my work, I seek to build on prior work in the identification of important and difficult topics in computer science and in concept inventories that explore student reasoning about these topics. I wish to explore student reasoning and discover student misconceptions about important topics in introductory computer science, with the goal of informing the design and evaluation of interventions that improve teaching and learning of these topics. I present here a summary of my work to date: a deep review of related work including the selection of important and difficult topics in introductory computer science, the creation of an exploratory instrument, the conduct of an initial, exploratory study using that instrument, and an analysis of a selected subset of the responses. I present also my current plans in furtherance of my research goals: continued analysis of the responses to my initial study, the development of task-based interviews to gain clarification and deeper understanding of student reasoning and misconceptions, and the development and evaluation of interventions that both build on solid lines of students reasoning and address misconceptions.
Baseline functionality for security and control of commodity IoT devices and domain-controlled device lifecycle management

The emerging Internet of Things (IoT) drastically increases the number of connected devices in homes, workplaces and smart city infrastructures. This drives a need for means to not only ensure confidentiality of device-related communications, but for device configuration and management---ensuring that only legitimate devices are granted privileges to a local domain, that only authorized agents have access to the device and data it holds, and that software updates are authentic. The need to support device on-boarding, ongoing device management and control, and secure decommissioning dictates a suite of key management services for both access control to devices, and access by devices to wireless infrastructure and networked resources. We identify this core functionality, and argue for the recognition of efficient and reliable key management support---both within IoT devices, and by a unifying external management platform---as a baseline requirement for an IoT world. We present a framework architecture to facilitate secure, flexible and convenient device management in commodity IoT scenarios, and offer an illustrative set of protocols as a base solution---not to promote specific solution details, but to highlight baseline functionality to help domain owners oversee deployments of large numbers of independent multi-vendor IoT devices.
Proposal for subclassification to select patients for hepatectomy with intermediate hepatocellular carcinoma and Child–Pugh A liver function

Abstract Increasing evidence has shown that hepatectomy provides a longer overall survival (OS) for patients with hepatocellular carcinoma (HCC) in the intermediate stage. Unfortunately, not all patients benefit from liver resection, even if hepatectomy is feasible. This study aimed to propose a subclassification to select patients for surgical resection. OS of patients with intermediate-stage HCC who underwent hepatectomy at Beijing Friendship Hospital or Peking Union Medical College Hospital were reviewed. Patients were divided into 2 groups based on the results of survival analysis. The prognosis of these patients was compared with that in those who were treated by trans-arterial chemoembolization (TACE) in each subgroup. A total of 259 patients with intermediate-stage HCC who were initially treated by hepatectomy were included. Multivariate analysis showed that cumulative tumor size and tumor number independently affected tumor recurrence and survival time of these patients. Patients were then divided into group A (tumor size <11 cm and tumor number < 4; n = 205) and group B (tumor size ≥11 cm and tumor number ≥ 4; n = 54). Multivariate analysis showed that hepatectomy was independently associated with longer OS compared with TACE in patients in group A (hazard ratio = 0.67, 95% confidence interval = 0.49–0.90), but not in group B. Surgical management of intermediate-stage HCC should be performed with more complexity than current practice. Hepatic resection could be considered as the first-line treatment only for patients with HCC who have a cumulative tumor size of less than 11 cm and <4 tumors.
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration

Diabetes is one of the diseases affecting 415 million people in the world. Developing a robust blood glucose (BG) prediction model has a profound influence especially important for the diabetes management. Subjects with diabetes need to adjust insulin doses according to the blood glucose levels to maintain blood glucose in a target range. An accurate glucose level prediction is able to provide subjects with diabetes with the future glucose levels, so that proper actions could be taken to avoid shortterm dangerous consequences or long-term complications. With the developing of continuous glucose monitoring (CGM) systems, the accuracy of predicting the glucose levels can be improved using the machine learning techniques. In this paper, a new deep learning technique, which is based on the Dilated Recurrent Neural Network (DRNN) model, is proposed to predict the future glucose levels for prediction horizon (PH) of 30 minutes. And the method also can be implemented in real-time prediction as well. The result reveals that using the dilated connection in the RNN network, it can improve the accuracy of short-time glucose predictions significantly (RMSE = 19.04 in the blood glucose level prediction (BGLP) on and only on all data points provided).
Advances in Designing and Developing Vaccines, Drugs, and Therapies to Counter Ebola Virus

Ebola virus (EBOV), a member of the family Filoviridae, is responsible for causing Ebola virus disease (EVD) (formerly named Ebola hemorrhagic fever). This is a severe, often fatal illness with mortality rates varying from 50 to 90% in humans. Although the virus and associated disease has been recognized since 1976, it was only when the recent outbreak of EBOV in 2014–2016 highlighted the danger and global impact of this virus, necessitating the need for coming up with the effective vaccines and drugs to counter its pandemic threat. Albeit no commercial vaccine is available so far against EBOV, a few vaccine candidates are under evaluation and clinical trials to assess their prophylactic efficacy. These include recombinant viral vector (recombinant vesicular stomatitis virus vector, chimpanzee adenovirus type 3-vector, and modified vaccinia Ankara virus), Ebola virus-like particles, virus-like replicon particles, DNA, and plant-based vaccines. Due to improvement in the field of genomics and proteomics, epitope-targeted vaccines have gained top priority. Correspondingly, several therapies have also been developed, including immunoglobulins against specific viral structures small cell-penetrating antibody fragments that target intracellular EBOV proteins. Small interfering RNAs and oligomer-mediated inhibition have also been verified for EVD treatment. Other treatment options include viral entry inhibitors, transfusion of convalescent blood/serum, neutralizing antibodies, and gene expression inhibitors. Repurposed drugs, which have proven safety profiles, can be adapted after high-throughput screening for efficacy and potency for EVD treatment. Herbal and other natural products are also being explored for EVD treatment. Further studies to better understand the pathogenesis and antigenic structures of the virus can help in developing an effective vaccine and identifying appropriate antiviral targets. This review presents the recent advances in designing and developing vaccines, drugs, and therapies to counter the EBOV threat.
Kinetics and perception of basketball landing in various heights and footwear cushioning

Background The previous studies on basketball landing have not shown a systematic agreement between landing impacts and midsole densities. One plausible reason is that the midsole densities alone used to represent the cushioning capability of a shoe seems over simplified. The aim of this study is to examine the effects of different landing heights and shoes of different cushioning performance on tibial shock, impact loading and knee kinematics of basketball players. Methods Nineteen university team basketball players performed drop landings from different height conditions (0.45m vs. 0.61m) as well as with different shoe cushioning properties (regular, better vs. best-cushioned). For each condition, tibial acceleration, vertical ground reaction force and knee kinematics were measured with a tri-axial accelerometer, force plate and motion capture system, respectively. Heel comfort perception was indicated on the 150-mm Visual Analogue Scale. A 2 (height) x 3 (footwear) ANOVA with repeated measures was performed to determine the effects of different landing heights and shoe cushioning on the measured parameters. Results We did not find significant interactions between landing height and shoe conditions on tibial shock, impact peak, mean loading rate, maximum knee flexion angle and total ankle range of motion. However, greater tibial shock, impact peak, mean loading rates and total ankle range of motion were determined at a higher landing height (P < 0.01). Regular-cushioned shoes demonstrated significantly greater tibial shock and mean loading rate compared with better- and best-cushioned shoes (P < 0.05). The correlation analysis indicated that the heel comfort perception was fairly associated with impact peak and mean loading rate regardless of heights (P < 0.05), but not associated with tibial shock. Conclusions Determination of shoe cushioning performance, regardless of shoe midsole materials and constructions, would be capable in order to identify optimal shoe models for better protection against tibial stress fracture. Subjective comfort rating could estimate the level of impact loading in non-laboratory based situations.