Miracle-dz/UniFAR-FTUs huggingface dataset:
Defining Clinical Malaria: The Specificity and Incidence of Endpoints from Active and Passive Surveillance of Children in Rural Kenya

Background Febrile malaria is the most common clinical manifestation of P. falciparum infection, and is often the primary endpoint in clinical trials and epidemiological studies. Subjective and objective fevers are both used to define the endpoint, but have not been carefully compared, and the relative incidence of clinical malaria by active and passive case detection is unknown. Methods We analyzed data from cohorts under active and passive surveillance, including 19,462 presentations with fever and 5,551 blood tests for asymptomatic parasitaemia. A logistic regression model was used to calculate Malaria Attributable Fractions (MAFs) for various case definitions. Incidences of febrile malaria by active and passive surveillance were compared in a subset of children matched for age and location. Results Active surveillance identified three times the incidence of clinical malaria as passive surveillance in a subset of children matched for age and location. Objective fever (temperature≥37.5°C) gave consistently higher MAFs than case definitions based on subjective fever. Conclusion The endpoints from active and passive surveillance have high specificity, but the incidence of endpoints is lower on passive surveillance. Subjective fever had low specificity and should not be used in primary endpoint. Passive surveillance will reduce the power of clinical trials but may cost-effectively deliver acceptable sensitivity in studies of large populations.
Co-scheduling hardware and software pipelines

In this paper we propose co-scheduling, a framework for simultaneous design of hardware pipelines structures and software-pipelined schedules. Two important components of the co-scheduling framework are: (1) An extension to the analysis of hardware pipeline design that meets the needs of periodic (or software pipelined) schedules. Reservation tables, forbidden latencies, collision vectors, and state diagrams from classical pipeline theory are revisited and extended to solve the new problems. (2) An efficient method, based on the above extension of pipeline analysis, to perform (a) software pipeline scheduling and (b) hardware pipeline reconfiguration which are mutually "compatible". The proposed method has been implemented and preliminary experimental results for 1008 kernel loops are reported. Co-scheduling successfully obtains a schedule for 95% of these loops. The median time to obtain these schedules is 0.25 seconds on a Sparc-20.
The single-leg Roman chair hold is more effective than the Nordic hamstring curl in improving hamstring strength-endurance in Gaelic footballers with previous hamstring injury.

Poor hamstring strength-endurance is a risk factor for hamstring injuries. This study investigated the effectiveness of the single-leg Roman hold and Nordic hamstring curl in improving hamstring strength-endurance. Twelve Gaelic footballers (mean ± standard deviation age, height and mass were 25.17 ± 3.46 years, 179.25 ± 5.88 cm, 85.75 ± 4.75 kilo) with a history of hamstring injury were randomized into 2 groups that performed 6 weeks of either Nordic hamstring curl, or single-leg Roman chair hold training. The single-leg hamstring bridge (SLHB) was measured pre- and post- intervention. The Roman chair group showed a very likely moderate magnitude improvement on SLHB performance for both legs (23.7% for the previously injured leg [90% confidence interval 9.6% to 39.6%] and 16.9% for the non-injured leg [6.2% to 28.8%]). The Nordic curl group showed a likely trivial change in SLHB performance for the non-injured leg (-2.1% [-6.7% to 2.6%]) and an unclear, but possibly trivial change for the previously injured leg (0.3% [-5.6% to 6.6%]). The Roman chair group improved very likely more with a moderate magnitude in both the non-injured (19.5% [8.0% to 32.2%]) and the previously injured leg (23.3% [8.5% to 40.0%]) compared to the Nordic curl group. This study demonstrated that 6-weeks single-leg Roman chair training substantially improved SLHB performance, suggesting that it may be an efficacious strategy to mitigate hamstring (re-) injury risk. Conversely, 6-weeks Nordic curl training did not substantially improve SLHB performance, suggesting this may not be the intervention of choice for modifying this risk factor.
Thinness in young schoolchildren in Serbia: another case of the double burden of malnutrition?

Abstract Objective Thinness is rarely highlighted or regularly monitored among children in developed countries although it may be rather frequent and pose a significant risk to children’s health. We aimed to describe the prevalence of mild, moderate and severe thinness among young Serbian schoolchildren. Design Cross-sectional study of schoolchildren aged 6–9 years. Children were assessed for weight, height and BMI as part of the WHO European Childhood Obesity Surveillance Initiative in Serbia. Thinness grades were defined as gender- and age-specific cut-offs for BMI according to the International Obesity Task Force criteria. Setting Serbia, September to November 2015. Subjects Students (n 4861) in grades 2 and 3 (6–9 years, 2397 girls). Results Overall prevalence of thinness in Serbian schoolchildren was 9·6 %. Mild thinness was clearly the largest category with a prevalence of 7·6 %, moderate thinness was present in 1·7 % of children and severe thinness was found in 0·3 % of children. OR indicated a significant risk of being thin for girls (1·44 times higher compared with boys) and children attending schools with no health-focused educational programme (1·57 times more likely to be thin than peers enrolled in schools with such programmes). In addition, OR for thinness tended to be 1·23 times higher in children living in an economically disadvantaged region of Serbia (P=0·06). Conclusions A rather high prevalence of thinness highlights this malnutrition disorder as an emerging health issue that should trigger public health policies to tackle thinness, especially in girls of young age and children living in economically disadvantaged areas.
Titanium minerals for new materials

The mineral composition of titanium minerals of modern coastal-marine placer in Stradbroke Island (Australia) and Pizhma paleoplacer in Middle Timan (Russia) has been presented. The physical features of titanium minerals and their modification methods were shown. Photocatalysts on the basis of the Pizhma leucoxene were developed for water purification.
Physical Layer Communications System Design Over-the-Air Using Adversarial Networks

This paper presents a novel method for synthesizing new physical layer modulation and coding schemes for communications systems using a learning-based approach which does not require an analytic model of the impairments in the channel. It extends prior work published on the channel autoencoderto consider the case where the stochastic channel response is not known or can not be easily modeled in a closed form analytic expression. By adopting an adversarial approach for learning a channel response approximation and information encoding, we jointly learn a solution to both tasks applicable over a wide range of channel environments. We describe the operation of the proposed adversarial system, share results for its training and validation over-the-air, and discuss implications and future work in the area.
Prevalence of Human Papillomavirus Among Females After Vaccine Introduction—National Health and Nutrition Examination Survey, United States, 2003–2014

Background Human papillomavirus (HPV) vaccine was recommended in 2006 for routine vaccination of US females aged 11-12 years. Most vaccine used through 2014 was quadrivalent vaccine (4vHPV), which prevents HPV-6, -11, -16, and -18 infection. To evaluate vaccine impact, we measured HPV prevalence in the National Health and Nutrition Examination Survey (NHANES). Methods We analyzed HPV DNA types detected in self-collected cervicovaginal specimens and demographic, sexual behavior, and self-reported vaccination data from females 14-34 years old. We estimated HPV prevalence in the prevaccine (2003-2006) and vaccine eras (2007-2010 and 2011-2014). Results Among 14- to 19-year-olds, 4vHPV-type prevalence decreased from 11.5% (95% confidence interval [CI], 9.1%-14.4%) in 2003-2006 to 3.3% (95% CI, 1.9%-5.8%) in 2011-2014, when ≥1-dose coverage was 55%. Among 20- to 24-year-olds, prevalence decreased from 18.5% (95% CI, 14.9%-22.8%) in 2003-2006 to 7.2% (95% CI, 4.7%-11.1%) in 2011-2014, when ≥1-dose coverage was 43%. Compared to 2003-2006, 4vHPV prevalence in sexually active 14- to 24-year-olds in 2011-2014 decreased 89% among those vaccinated and 34% among those unvaccinated. Vaccine effectiveness was 83%. Conclusions Within 8 years of vaccine introduction, 4vHPV-type prevalence decreased 71% among 14- to 19-year-olds and 61% among 20- to 24-year-olds. Estimated vaccine effectiveness was high. The decrease in 4vHPV-type prevalence among unvaccinated females suggests herd protection.
Coactive Learning for Interactive Machine Translation

Coactive learning describes the interaction between an online structured learner and a human user who corrects the learner by responding with weak feedback, that is, with an improved, but not necessarily optimal, structure. We apply this framework to discriminative learning in interactive machine translation. We present a generalization to latent variable models and give regret and generalization bounds for online learning with a feedback-based latent perceptron. We show experimentally that learning from weak feedback in machine translation leads to convergence in regret and translation error.
Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis

Recommendation is essential to many online services; however current systems often provide limited interaction and visualization mechanisms, affecting the user satisfaction of recommendation. This paper presents an interactive recommendation approach for the general public without any knowledge of recommendation or visualization algorithms. Our approach emphasizes interactivity, explicit user input, and semantic information convey with the following two components. First, we propose a Latent Semantic Model that captures the statistical features of semantic concepts on 2D domains and abstracts user preferences for personal recommendation, so that high-dimensional spectral space from the rating records can be understood and interacted with directly. Second, we propose an interactive recommendation approach through a storytelling mechanism for promoting the communication between the user and the recommendation system. We demonstrate and evaluate our approach with a real dataset. Our approach can also be extended to other applications including various online recommendation systems.
Validation of the PTSD screening cartoon test “Darryl” in a Danish clinical sample of children and adolescents

The current study examined the reliability and validity of a Danish adaptation of “Darryl”, a cartoon‐based measure of DSM‐IV symptoms of post‐traumatic stress disorder (PTSD) in a sample of Danish children and adolescents. Exposure to potentially traumatizing events, PTSD symptoms and diagnostic status were assessed in 65 children between the ages of 7 and 17 years old. Participants were recruited from a crisis centre for battered women and a school for children with emotional and behavioural problems. The study revealed that Darryl has good internal consistency for the overall scale and adequate reliability for each DSM‐IV symptom cluster. Scores from Darryl were significantly correlated with the Clinician Administered PTSD Scale for Children and Adolescents (CAPS‐CA) scores and receiver operating characteristic (ROC) analysis showed that it could significantly predict the presence of a PTSD diagnosis according to the CAPS‐CA. In comparison to the CAPS‐CA, Darryl has comparable psychometric properties and assesses PTSD symptoms in a developmentally appropriate manner. Furthermore, Darryl is quick to administer and was easier for the children in this sample to comprehend than the more traditional measure of PTSD. Overall, Darryl is an effective instrument for screening children at risk of a PTSD diagnosis. The relatively high specificity suggests that screening positive for PTSD using Darryl merits further diagnostic assessment. Copyright © 2016 John Wiley & Sons, Ltd.
Ti-states: Processor power management in the temperature inversion region

Temperature inversion is a transistor-level effect that can improve performance when temperature increases. It has largely been ignored in the past because it does not occur in the typical operating region of a processor, but temperature inversion is becoming increasing important in current and future technologies. In this paper, we study temperature inversion's implications on architecture design, and power and performance management. We present the first public comprehensive measurement-based analysis on the effects of temperature inversion on a real processor, using the AMD A10-8700P processor as our system under test. We show that the extra timing margin introduced by temperature inversion can provide more than 5% Vdd reduction benefit, and this improvement increases to more than 8% when operating in the near-threshold, low-voltage region. To harness this opportunity, we present Ti-states, a power management technique that sets the processor's voltage based on real-time silicon temperature to improve power efficiency. Ti-states lead to 6% to 12% measured power saving across a range of different temperatures compared to a fixed margin. As technology scales to FD-SOI and FinFET, we show there is an ideal operating temperature for various workloads to maximize the benefits of temperature inversion. The key is to counterbalance leakage power increase at higher temperatures with dynamic power reduction by the Ti-states. The projected optimal temperature is typically around 60°C and yields 8% to 9% chip power saving. The optimal high-temperature can be exploited to reduce design cost and runtime operating power for overall cooling. Our findings are important for power and thermal management in future chips and process technologies.
DUOX2 Mutations Are Associated With Congenital Hypothyroidism With Ectopic Thyroid Gland

Context: Thyroid dysgenesis (TD) is the leading cause of congenital hypothyroidism (CH). The etiology of TD remains unknown in ˜90% of cases, the most common form being thyroid ectopia (TE) (48% to 61%). Objective: To search for candidate genes in hypothyroid children with TE. Design, Setting, and Participants: We followed a cohort of 268 children with TD and performed whole‐exome sequencing (WES) in three children with CH with TE (CHTE) and compared them with 18 thyroid‐healthy controls. We then screened an additional 41 children with CHTE by Sanger sequencing and correlated the WES and Sanger molecular findings with in vitro functional analysis. Main Outcome Measures: Genotyping, mutation prediction analysis, and in vitro functional analysis. Results: We identified seven variants in the DUOX2 gene, namely G201E, L264CfsX57, P609S, M650T, E810X, M822V, and E1017G, and eight known variations. All children carrying DUOX2 variations had high thyroid‐stimulating hormone levels at neonatal diagnosis. All mutations were localized in the N‐terminal segment, and three of them led to effects on cell surface targeting and reactive oxygen species generation. The DUOX2 mutants also altered the interaction with the maturation factor DUOXA2 and the formation of a stable DUOX2/DUOXA2 complex at the cell surface, thereby impairing functional enzymatic activity. We observed no mutations in the classic genes related to TD or in the DUOX1 gene. Conclusion: Our findings suggest that, in addition to thyroid hormonogenesis, the DUOX2 N‐terminal domain may play a role in thyroid development.
Alterations of Intrinsic Connectivity Networks in Antipsychotic-Naïve First-Episode Schizophrenia

Abstract Background The investigation of large-scale intrinsic connectivity networks in antipsychotic-naïve first-episode schizophrenia increases our understanding of system-level cerebral dysfunction in schizophrenia while enabling control of confounding effects of medication and disease progression. Reports on functional connectivity in antipsychotic-naïve patients have been mixed and the relation between network alterations, psychopathology and cognition is unclear. Methods A total number of 47 patients with first-episode schizophrenia who had never received antipsychotic medication and 47 healthy controls were scanned with functional magnetic resonance imaging under resting conditions. Main outcome measures were differences in functional connectivity between groups and the relationship between network alterations, psychopathology and cognition. Results Altered connectivity was found between right central executive network (CEN) and right ventral attention network (VAN) (patients > controls, P = .001), left CEN and left VAN (P = .002), and between posterior default mode network and auditory network (P = .006). Association between network connectivity and clinical characteristics was found as interactions between the effects of group and sustained attention (P = .005) and between group and processing speed (P = .007) on the connectivity between right CEN and right VAN. Conclusions Our findings suggest that the early phase of schizophrenia is characterized by increased connectivity between fronto-parietal networks suggested to be involved in the control of cognitive and sensory functions. Moreover, the present study suggests that the problem of not disengaging the VAN leads to difficulties with attention and possibly subjective awareness.
Intelligent Music Interfaces

Automatic music-understanding technologies (automatic analysis of music signals) make possible the creation of intelligent music interfaces that enrich music experiences and open up new ways of listening to music. In the past, it was common to listen to music in a somewhat passive manner; in the future, people will be able to enjoy music in a more active manner by using music technologies. Listening to music through active interactions is called active music listening. In this keynote speech I first introduce active music listening interfaces demonstrating how end users can benefit from music-understanding technologies based on signal processing and/or machine learning. By analyzing the music structure (chorus sections), for example, the SmartMusicKIOSK interface enables people to access their favorite part of a song directly (skipping other parts) while viewing a visual representation of the song's structure. I then introduce our recent challenge of deploying such research-level music interfaces as web services open to the public. Those services augment people's understanding of music, enable music-synchronized control of computer-graphics animation and robots, and provide various bird's-eye views on a large music collection. In the future, further advances in music-understanding technologies and music interfaces based on them will make interaction between people and music even more active and enriching.
A method to generate text summary by accounting pronoun frequency for keywords weightage computation

In recent years large volume of data being generated every day from various sources. Text summarization has become more relevance for quick searching, abstract generating, automatic sorting etc., to larger volume of data. Extractive methods are involved in identifying important part of the text to produce summary. While generating the summary by extractive methods, important keywords are identified by eliminating stopwords. As a part of stopwords removal, pronouns which are used as placeholders for proper nouns in text are usually removed. But frequency information related to pronouns is significant to improve the quality of summary being generated. We propose in this research a method to replace pronouns with their corresponding proper nouns and then compute the frequency of keywords. The keywords weightage has been calculated based on frequency which intern used to extract important sentences to form the summary. Experiments are conducted on text data collection and a gain ratio is computed to measure improvement in summary generated from pronoun replacement method.
ABCC6 plays a significant role in the transport of nilotinib and dasatinib, and contributes to TKI resistance in vitro, in both cell lines and primary patient mononuclear cells

ATP Binding Cassette family efflux proteins ABCB1 and ABCG2 have previously been demonstrated to interact with Tyrosine Kinase Inhibitors (TKIs); however, evidence for the interaction of other potentially relevant drug transporters with TKIs is lacking. Through Taqman transporter array technology we assessed the impact of nilotinib on mRNA expression of ABC transporters, with ABCC6 identified as a transporter of interest. Additionally, increased expression of ABCC6 mRNA was observed during in vitro development of nilotinib resistance in BCR-ABL1-expressing cell lines. K562 cells exposed to gradually increasing concentrations of nilotinib (to 2 μM) expressed up to 57-fold higher levels of ABCC6 mRNA when compared with control cells (p = 0.002). Analogous results were observed in nilotinib resistant K562-Dox cells (up to 33-fold higher levels of ABCC6, p = 0.002). IC50 experiments were conducted on patient mononuclear cells in the absence and presence of three ABCC6 inhibitors: indomethacin, probenecid and pantoprazole. Results demonstrated that all three inhibitors significantly reduced nilotinib IC50 (p<0.001) indicating ABCC6 is likely involved in nilotinib transport. Cell line data confirmed these findings. Similar results were obtained for dasatinib, but not imatinib. Combined, these studies suggest that nilotinib and dasatinib are likely substrates of ABCC6 and to our knowledge, this is the first report of ABCC6 involvement in TKI transport. In addition, ABCC6 overexpression may also contribute to nilotinib and dasatinib resistance in vitro. With nilotinib and dasatinib now front line therapy options in the treatment of CML, concomitant administration of ABCC6 inhibitors may present an attractive option to enhance TKI efficacy.
Injury of leg somatotopy of corticospinal tract at corona radiata by ventriculoperitoneal shunt

Rationale: A 45-year-old right-handed female patient suffered head trauma after being hit by a truck that ran into a house. Patient concerns: The patient lost consciousness for 1 hour and experienced posttraumatic amnesia for 1 month after the accident. Diagnoses: She underwent conservative management for a subdural hematoma in the left frontotemporal lobes and intracerebral hematoma in the left frontal lobe. Interventions: The patient's Glasgow Coma Scale score was 11. She underwent a VP shunt operation, approached through the right posterior parietal area of the brain, at 4 months after onset. Approximately, 6 months after onset, she was admitted to the rehabilitation department of a university hospital. She presented with moderate weakness of the left leg: Medical Research Council scores: hip flexor; 3, knee extensor; 3+, ankle dorsiflexor; 3–. Brain magnetic resonance imaging revealed a leukomalactic lesion in the right posterior corona radiata along the shunt. Outcomes: On 6-month (2 months after the shunt operation) diffusion tensor tractography, the left CST showed partial injury in the posterior portion compared with the right CST. On 6-month transcranial magnetic stimulation study, the motor-evoked potential obtained at the left tibialis anterior muscle revealed lower amplitude than that on the right side. Lessons: Injury of leg somatotopy of a CST was demonstrated in a patient with leg weakness following a VP shunt operation.