LLukas22/scidocs huggingface dataset:
Analysis of square-wave bouts to verify VO2max.

Submaximal and supramaximal square-wave bouts have been reported to consistently verify 'true' VO2max. Although a direct comparison between both protocols exists, knowledge on the statistical consistency between the protocols using the same group of participants is lacking. The purpose of this study was to conduct an analysis of the submaximal and supramaximal verification bout performed shortly subsequent to a graded exercise test (GXT). On 2 separate occasions, 6 males and 7 females (age: 29±9 years) completed a GXT protocol and an exhaustive, square-wave bout at either end-GXT power minus 2-stages or 105% end-GXT power. No differences (p>0.05) in VO2max were observed between the GXT and square-wave bouts. The typical error (ml/kg/min) for submaximal (1.09) and supramaximal (1.04) trials was similar. Likewise, similar relative measures of consistency were observed for the submaximal (ICC α=0.97, CV=2.4%) and supramaximal trials (ICC α=0.95, CV=2.3%). For a GXT lasting ~10-12 min, the submaximal or supramaximal protocols appear to be equally effective.
Task Board Evolution

This paper describes the creation and evolution of various styles of task boards. It contains examples of how to create a board for both a greenfield project and an established legacy project. Additionally, it describes the forces which caused these boards to evolve over time.
Effect of quinapril, quinapril-hydrochlorothiazide, and enalapril on the bone mass of hypertensive subjects: relationship with angiotensin converting enzyme polymorphisms.

BACKGROUND
Many alterations in extracellular metabolism of calcium have been associated to hypertension, but the number of studies relating this disease with osteoporosis is extremely low. This study clarifies the therapeutic effect of three treatments-quinapril, quinapril + hydrochlorothiazide (HCTZ), enalapril-on bone remodeling markers, bone mineral density (BMD) in hypertensive patients, and relationship with angiotensin converting enzyme (ACE) polymorphism.


METHODS
This open, prospective study included 134 patients with low-to-moderate hypertension and stable BMD according to Joint National Committee criteria and 96 patients completed the study. After a washout period, patients were randomized to one of the three treatments, which they received for 1 year. Analyses of blood and urine samples and densitometric studies on lumbar spine were performed.


RESULTS
Calcium and 25-hydroxyvitamin D levels increased (9.5 +/-0.3 and 9.6 +/-0.3 mg/dL, P =.01 and 46 +/-22 and 58 +/-22 nmol/L, P =.026, respectively) in the quinapril-treated group and calcium levels increased (9.4 +/-0.6 and 9.8 +/-0.4 mg/dL, P =.001) in the quinapril-HCTZ-treated group. The 1, 25-dihydroxyvitamin D levels, calciuria, and calcium/creatinine ratio decreased (64 +/-23 and 43 +/-16 nmol/L, P =.0001;209 +/-93 and 161 +/-93 mg/24 h, P =.0022;0.21 +/-0.09 and 0.17 +/-0.11, P =.04, respectively). In the enalapril-treated group 1, 25-dihydroxyvitamin D levels (61 +/-27 and 42 +/-19 nmol/L, P =.0022) decreased. Only women presented a statistical significance (1.064 +/-0.16 g/cm(2), P =.034) between ID+II polymorphism and BMD decrease, and between DD polymorphism with less BMD under baseline conditions and a BMD increase (1.070 +/-0.16 g/cm(2), P =.017) after ACE inhibitor treatment.


CONCLUSIONS
The ACE inhibitors have a beneficial effect on BMD and calcium metabolism alterations in hypertensive subjects. Concerning BMD response, women presenting with the II+ID polymorphism had a poor response to antihypertensive drug treatment, whereas women with the DD polymorphism responded better. This is the first study demonstrating a relationship between ACE polymorphism and BMD response and antihypertensive ACE inhibitor treatment.
A real-time compressed sensing-based personal electrocardiogram monitoring system

Wireless body sensor networks (WBSN) hold the promise to enable next-generation patient-centric mobile-cardiology systems. A WBSN-enabled electrocardiogram (ECG) monitor consists of wearable, miniaturized and wireless sensors able to measure and wirelessly report cardiac signals to a WBSN coordinator, which is responsible for reporting them to the tele-health provider. However, state-of-the-art WBSN-enabled ECG monitors still fall short of the required functionality, miniaturization and energy efficiency. Among others, energy efficiency can be significantly improved through embedded ECG compression, which reduces airtime over energy-hungry wireless links. In this paper, we propose a novel real-time energy-aware ECG monitoring system based on the emerging compressed sensing (CS) signal acquisition/compression paradigm for WBSN applications. For the first time, CS is demonstrated as an advantageous real-time and energy-efficient ECG compression technique, with a computationally light ECG encoder on the state-of-the-art Shimmer™ wearable sensor node and a realtime decoder running on an iPhone (acting as a WBSN coordinator). Interestingly, our results show an average CPU usage of less than 5% on the node, and of less than 30% on the iPhone.
Novel Modeling and Calibration Approach for Multiport Receivers Mitigating System Imperfections and Hardware Impairments

Factors limiting and degrading the performance of a multiport-based receiver system for wideband signals are modeled and a suitable calibration approach is proposed in this paper. The proposed calibration approach uses a new model for linearization of diode power detectors suitable for wideband real (modulated) wireless signals. To verify the proposed model and calibration procedure, a 2-18-GHz wideband six-port-based receiver system is set up and its performance is verified using wireless signals having different bandwidth and modulation schemes. The new calibration algorithm improved the error vector magnitude (EVM) of the receiver system from 7.9% to 1.6% for a 64-QAM signal with a bandwidth of 2 MHz and a data rate of 12 Mb/s. To show the usefulness of the model for real communication signals, wideband code division multiple access (WCDMA) and wireless local area network (WLAN) signals are received and EVM of 4.7% and 3.4% are reported for the WCDMA and the WLAN signals, respectively.
An Approach for Identifying URLs Based on Division Score and Link Score in Focused Crawler

The rapid growth of the World Wide Web (WWW) poses unprecedented scaling challenges for general-purpose crawlers. Crawlers are software which can traverse the internet and retrieve web pages by hyperlinks. The focused crawler of a special-purpose search engine aims to selectively seek out pages that are relevant to a pre-defined set of topics, rather than to exploit all regions of the Web. Focused crawler is developed to collect relevant web pages of interested topics from the Internet. Maintaining currency of search engine indices by exhaustive crawling is rapidly becoming impossible due to the increasing size of the web. Focused crawlers aim to search only the subset of the web related to a specific topic, and offer a potential solution to the problem. In our proposed approach, we calculate the link score based on average relevancy score of parent pages (because we know that the parent page is always related to child page which means that for detailed information any author prefers the child page) and division score (means how many topic keywords belong to division in which particular link belongs). After finding out link score, we compare the link score with some threshold value. If link score is greater than or equal to threshold value, then it is relevant link. Otherwise, it is discarded. Focused crawler first fetches that link which has greater value compared to all link scores and threshold.
Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM

Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in conjunction with English Heritage and encompassed five differently structured relational databases containing various results of archaeological excavations. The aim of the exercise was to demonstrate the potential benefits in cross searching data expressed as RDF and conforming to a common overarching conceptual data structure schema the English Heritage Centre for Archaeology ontological model (CRM-EH), an extension of the CIDOC Conceptual Reference Model (CRM). A semiautomatic mapping/extraction tool proved an essential component. The viability of the approach is demonstrated by web services and a client application on an integrated data and concept network.
Developmentally sensitive diagnostic criteria for mental health disorders in early childhood: the diagnostic and statistical manual of mental disorders-IV, the research diagnostic criteria-preschool age, and the diagnostic classification of mental health and developmental disorders of infancy and ea

As the infant mental health field has turned its focus to the presentation, course, and treatment of clinically significant mental health disorders, the need for reliable and valid criteria for identifying and assessing mental health symptoms and disorders in early childhood has become urgent. In this article we offer a critical perspective on diagnostic classification of mental health disorders in young children. We place the issue of early childhood diagnosis within the context of classification of psychopathology at other ages and describe, in some detail, diagnostic classifications that have been developed specifically for young children, including the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-3R; ZERO TO THREE, 2005), a diagnostic classification for mental health symptoms and disorders in infants, toddlers, and preschoolers. We briefly outline the role of diagnostic classification in clinical assessment and treatment planning. Last, we review the limitations of current approaches to the diagnostic classification of mental health disorders in young children.
On the complexity of crossings in permutations

We investigate crossing minimization problems for a set of permutations, where a crossing expresses a disarrangement between elements. The goal is a common permutation π∗ which minimizes the number of crossings. In voting and social science theory this is known as the Kemeny optimal aggregation problem minimizing the Kendall-τ distance. This rank aggregation problem can be phrased as a one-sided two-layer crossing minimization problem for a series of bipartite graphs or for an edge coloured bipartite graph, where crossings are counted only for monochromatic edges. We contribute the max version of the crossing minimization problem, which attempts to minimize the discrimination against any permutation. As our results, we correct the construction from [9] and prove the NP-hardness of the common crossing minimization problem for k = 4 permutations. Then we establish a 2 − 2/kapproximation, improving the previous factor of 2. The max version is shown NPhard for every k ≥ 4, and there is a 2-approximation. Both approximations are optimal, if the common permutation is selected from the given ones. For two permutations crossing minimization is solved by inspecting the drawings, whereas it remains open for three permutations. Preprint submitted to Elsevier Science 24 May 2007
Olive oil polyphenols decrease blood pressure and improve endothelial function in young women with mild hypertension.

BACKGROUND
Olive oil polyphenols have been associated with several cardiovascular health benefits. This study aims to examine the influence of a polyphenol-rich olive oil on blood pressure (BP) and endothelial function in 24 young women with high-normal BP or stage 1 essential hypertension.


METHODS
We conducted a double-blind, randomized, crossover dietary-intervention study. After a run-in period of 4 months (baseline values), two diets were used, one with polyphenol-rich olive oil (∼30 mg/day), the other with polyphenol-free olive oil. Each dietary period lasted 2 months with a 4-week washout between diets. Systolic and diastolic BP, serum or plasma biomarkers of endothelial function, oxidative stress, and inflammation, and ischemia-induced hyperemia in the forearm were measured.


RESULTS
When compared to baseline values, only the polyphenol-rich olive oil diet led to a significant (P < 0.01) decrease of 7.91 mm Hg in systolic and 6.65 mm Hg of diastolic BP. A similar finding was found for serum asymmetric dimethylarginine (ADMA) (-0.09 ± 0.01 µmol/l, P < 0.01), oxidized low-density lipoprotein (ox-LDL) (-28.2 ± 28.5 µg/l, P < 0.01), and plasma C-reactive protein (CRP) (-1.9 ± 1.3 mg/l, P < 0.001). The polyphenol-rich olive oil diet also elicited an increase in plasma nitrites/nitrates (+4.7 ± 6.6 µmol/l, P < 0.001) and hyperemic area after ischemia (+345 ± 386 perfusion units (PU)/sec, P < 0.001).


CONCLUSIONS
We concluded that the consumption of a diet containing polyphenol-rich olive oil can decrease BP and improve endothelial function in young women with high-normal BP or stage 1 essential hypertension.
Learning object affordances by leveraging the combination of human-guidance and self-exploration

Our work focuses on robots to be deployed in human environments. These robots, which will need specialized object manipulation skills, should leverage end-users to efficiently learn the affordances of objects in their environment. This approach is promising because people naturally focus on showing salient aspects of the objects [1]. We replicate prior results and build on them to create a combination of self and supervised learning. We present experimental results with a robot learning 5 affordances on 4 objects using 1219 interactions. We compare three conditions: (1) learning through self-exploration, (2) learning from supervised examples provided by 10 naïve users, and (3) self-exploration biased by the user input. Our results characterize the benefits of self and supervised affordance learning and show that a combined approach is the most efficient and successful.
Low power 4-Bit Arithmetic Logic Unit using Full-Swing GDI technique

Power dissipation and area of the circuit are the main issues in the electronics industry, this paper provides a design of 4-Bit Arithmetic Logic Unit (ALU) using Full-Swing GDI Technique, which considered an effective method for low power digital design while reducing the area of the circuit compared to other logic styles. The proposed ALU design consists of 2×1 Multiplexer, 4×1 Multiplexer and low power Full Adder cell to realize the arithmetic and logic operations. The simulation carried out using Cadence Virtuoso using 65nm TSMC process. The results show that the proposed design consume less power using less number of transistors, while achieving full swing operation compared to previous work.
Grain growth and morphology of In2O3:Pd nanocomposite films

Abstract Thin film nanocomposites based on semiconducting oxides and palladium have been systematically studied using combinatorial chemistry techniques to optimize their thermoelectric properties. These nanocomposites have considerable potential for energy harvesting applications in harsh environments and were prepared by embedding palladium nanoparticles into an indium oxide matrix via co-sputtering from metal and ceramic targets. The as-deposited films were largely amorphous and thus were subsequently heat treated in nitrogen ambients to produce crystalline nanocomposites. These nanocomposite films were screened for their thermoelectric properties at room temperature as a function of composition, and the resulting films exhibited thermoelectric power factors that were significantly greater than the semiconducting oxides deposited directly from ceramic targets. Based on these rapid screening protocols employing hundreds of micro-thermocouples, the most promising nanocomposite films in terms of thermoelectric power factor were down-selected. Transmission electron microscopy, selected area electron diffraction, and scanning electron microscopy were then used to study the microstructural changes in these films as a function of temperature. When thermally cycled to 800 °C, an abrupt transition from normal, equiaxed grain growth to abnormal (spherulitic growth) was observed at a threshold palladium loading which was also optimal for thermoelectric energy harvesting.
The 2017 DAVIS Challenge on Video Object Segmentation

We present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of other successful initiatives, such as ILSVRC [1] and PASCAL VOC [2], which established the avenue of research in the fields of scene classification and semantic segmentation, the DAVIS Challenge comprises a dataset, an evaluation methodology, and a public competition with a dedicated workshop co-located with CVPR 2017. The DAVIS Challenge follows up on the recent publication of DAVIS (Densely-Annotated VIdeo Segmentation [3]), which has fostered the development of several novel state-of-the-art video object segmentation techniques. In this paper we describe the scope of the benchmark, highlight the main characteristics of the dataset and define the evaluation metrics of the competition.
Effects of Using Mobile Devices on English Listening Diversity and Speaking for EFL Elementary Students

This study designed learning activities supported by a mobile learning system for students to develop listening and speaking skills in English as a foreign language (EFL). How students perceive learning activities and a mobile learning system were examined in this study. Additionally, how different practices relate to students’ language proficiency was also explored. It was found that students had positive perceptions and intentions toward learning activities; thus, students were motivated to practice English skills more when using a mobile learning system. The results demonstrated how students’ speaking and listening skills practices using mobile devices had different correlations depending on their proficiency levels. For example, listening diversity, defined as the number of other classmates a student listened to, was found to have an inverse correlation with speaking and listening proficiency. This finding does not support previous research and indicates that students who carefully selected their listening partners performed better than those who did not. It was further found that the better students performed in English learning, the fewer partners they would choose. EFL instructors can use the insights of this study to design more effective language learning activities for students using mobile devices.
Microsurgical and endovascular management of pericallosal aneurysms.

BACKGROUND
Pericallosal, or A2 bifurcation, aneurysms are an infrequently encountered cause of subarachnoid hemorrhage (SAH). While the International Subarachnoid Aneurysm Trial showed improved outcomes for patients with any ruptured anterior circulation aneurysm treated with embolization, there was also a higher recurrence rate for embolized aneurysms. Notably, there were relatively few pericallosal aneurysms.


OBJECTIVE
Specific analysis of pericallosal aneurysms may help guide therapeutic decisions.


METHODS
Retrospective analysis of patients who presented with proven saccular pericallosal aneurysms was performed at two institutions from 1999 to 2009. Patients were stratified according to presentation Hunt and Hess grades and modified Fisher scores, treatment modality and outcomes as well as development of vasospasm, hydrocephalus and required treatment.


RESULTS
Eighty-eight patients with pericallosal aneurysms were identified. Sixty-two presented with SAH and 26 in elective fashion, 2 of whom had a prior history of SAH. Fifty-four patients underwent microsurgical repair and 32 endovascular repair. Patients presenting with SAH due to pericallosal aneurysm treated with an endovascular approach were more likely to have a good modified Rankin scale (mRS) (mRS 0-2 vs 3-6) (p=0.028), to make a complete recovery (mRS=0) (p=0.017) and were less likely to die (mRS=6) (p=0.026). Patients with electively treated pericallosal aneurysms did not have statistically significant differences in outcome between surgical and endovascular cohorts. Differences in secondary endpoints did not reach significance.


CONCLUSION
Patients with ruptured pericallosal aneurysms fare better with endovascular therapy, with better chance of complete recovery. Surgical and endovascular treatments of unruptured pericallosal aneurysms have similar results and outcome.
Hierarchical sampling for active learning

We present an active learning scheme that exploits cluster structure in data.
A Neural Network and Kalman Filter Hybrid Approach for GPS / INS Integration

It is well known that Kalman filtering is an optimal real-time data fusion method for GPS/INS integration. However, it has some limitations in terms of stability, adaptability and observability. A Kalman filter can perform optimally only when its dynamic model is correctly defined and the noise statistics for the measurement and process are completely known. It is found that estimated Kalman filter states could be influenced by several factors, including vehicle dynamic variations, filter tuning results, and environment changes, etc., which are difficult to model. Neural networks can map input-output relationships without apriori knowledge about them; hence a proper designed neural network is capable of learning and extracting these complex relationships with enough training. This paper presents a GPS/INS integrated system that combines Kalman filtering and neural network algorithms to improve navigation solutions during GPS outages. An Extended Kalman filter estimates INS measurement errors, plus position, velocity and attitude errors etc. Kalman filter states, and gives precise navigation solutions while GPS signals are available. At the same time, a multi-layer neural network is trained to map the vehicle dynamics with corresponding Kalman filter states, at the same rate of measurement update. After the output of the neural network meets a similarity threshold, it can be used to correct INS measurements when no GPS measurements are available. Selecting suitable inputs and outputs of the neural network is critical for this hybrid method. Detailed analysis unveils that some Kalman filter states are highly correlated with vehicle dynamic variations. The filter states that heavily impact system navigation solutions are selected as the neural network outputs. The principle of this hybrid method and the neural network design are presented. Field test data are processed to evaluate the performance of the proposed method.
Network of off-axis melt bodies at the East Pacific Rise

At faster-spreading mid-ocean ridges, the creation of new oceanic crust through magmatism usually occurs within a narrow zone on the ridge axis. Three-dimensional seismic images of the fast-spreading East Pacific Rise reveal a network of magmatic bodies 4–8 km away from the ridge axis that seem to be connected to the axial magma chamber.