LLukas22/scidocs huggingface dataset:
An experimental comparison of two different clinically used implant designs and surfaces.

BACKGROUND
Various designs of dental implants representing different geometries and surface technologies are commercially available and clinically used in patients. However, data with regard to bone tissue responses and stability for comparison of their biologic performances are rare.


PURPOSE
The aim of the present experimental investigation was to compare the bone tissue responses and implant stability between two commonly used dental implants representing different geometries and surface characteristics.


MATERIALS AND METHODS
A total of 90 dental implants (4.3 mm in diameter, 10 mm long) with an oxidized surface (Replace Select Tapered, TiUnite, Nobel Biocare AB, Gothenburg, Sweden) (OX) and 90 implants (4.1 mm in diameter, 10 mm total length) with a hydrophilic sand-blasted and acid etched surface (Standard Plus, SLActive, Institut Straumann AG, Basel, Switzerland) (HSBA) were placed in the distal femur (n = 1) and tibia (n = 2) of 30 rabbits. The implants were analyzed with implant stability quotient (ISQ) measurements, removal torque (RTQ) and histomorphometry (bone-implant contact, BIC) after 10 days, 3, and 6 weeks. Moreover, RTQ values were corrected for differences in surface area by calculating the shear strength for each implant.


RESULTS
RTQ and ISQ measurements showed an increase with time for both implant types. A significantly higher RTQ value was observed for the HSBA implant at 3 weeks (p = .05). A lower ISQ value was seen for HSBA than for OX implants at placement in the tibia (p < 0.001). HSBA implants showed higher shear strength values than OX implants after 3 weeks (p < .001), and 6 weeks (p < .01). The morphometric measurements showed significantly higher BIC for HSBA implants after 10 days (p < .01), similar values after 3 weeks and significantly higher BIC for OX implants after 6 weeks (p < .001).


CONCLUSIONS
Both HSBA and OX implants were well integrated in bone and showed firm and increased stability from placement to after 6 weeks of healing. The HSBA implant showed more BIC after 10 days and the OX implant more BIC after 6 weeks of healing. The HSBA implant showed significantly higher shear strength after 3 and 6 weeks and higher RTQ values after 3 weeks than the OX implant. The results may be due to differences in surface roughness and hydrophilic properties.
Anaemia treatment in chronically dialysed children: a multicentre nationwide observational study.

OBJECTIVE
Erythropoiesis-stimulating agents (ESAs) are applied as a standard therapy in children with anaemia in chronic kidney disease. The aim of this study was to describe the efficacy and details of ESA treatment in a population of dialysed children in Poland.


MATERIAL AND METHODS
The study had a prospective observational design and was performed in 12 dialysis centres. The study group comprised 117 dialysed children with a mean age at enrolment of 165.33 (97.18-196.45) months.


RESULTS
Dialysed children were treated mostly with epoietin beta and darbepoietin. The mean dose of ESA was 99 (68-147) U/kg/week with a significant difference between patients on peritoneal dialysis [83 (54-115)] and haemodialysis [134 (103-186)] (p < 0.0001). The mean haemoglobin of all the time-point tests during 6 months was 10.91 ± 1.18 g/dl. The efficacy of anaemia treatment was unsatisfactory in 52% of subjects. In multivariate analysis, initial haemoglobin level <10 g/l, any infection, younger age at first dialysis, malnutrition and inadequate ESA dosage remained significant predictors of anaemia.


CONCLUSIONS
The study revealed that anaemia treatment in Polish children is unsatisfactory. Late commencement of the treatment, inadequate dosing, malnutrition and infections could constitute risk factors for therapy failure.
How early is early dark energy

We investigate constraints on early dark energy (EDE) from the Cosmic Microwave Background (CMB) anisotropy, taking into account data from WMAP9 combined with latest small scale measurements from the South Pole Telescope (SPT). For a constant EDE fraction we propose a new parametrization with one less parameter but still enough to provide similar results to the ones previously studied in literature. The main emphasis of our analysis, however, compares a new set of different EDE parametrizations that reveal how CMB constraints depend on the redshift epoch at which Dark Energy was non negligible. We find that bounds on EDE get substantially weaker if dark energy starts to be non-negligible later, with early dark energy fraction Ωe free to go up to about 5% at 2 sigma if the onset of EDE happens at z < ∼ 100 . Tight bounds around 1 − 2% are obtained whenever dark energy is present at last scattering, even if its effects switch off afterwards. We show that the CMB mainly constrains the presence of Dark Energy at the time of its emission, while EDE-modifications of the subsequent growth of structure are less important.
Graph-Based Visual Saliency

[1] L. Itti, C. Koch, PAMI 1998 [2] N. Bruce, J. Tsotsos, NIPS 2005 [3] Einhaeuser, et al. Vis. Res. 2006 [4] Tatler, et al. Vis. Res. 2005 In biology, individual “nodes” (neurons) exist in a connected, retinotopically organized, network (the visual cortex), and communicate with each other (synaptic firing) in a way which gives rise to emergent behavior, viz., rapid scene analysis for salient locations.
Constraint Selection in Metric Learning

A number of machine learning algorithms are using a metric, or a distance, in order to compare individuals. The Euclidean distance is usually employed, but it may be more efficient to learn a parametric distance such as Mahalanobis metric. Learning such a metric is a hot topic since more than ten years now, and a number of methods have been proposed to efficiently learn it. However, the nature of the problem makes it quite difficult for large scale data, as well as data for which classes overlap. This paper presents a simple way of improving accuracy and scalability of any iterative metric learning algorithm, where constraints are obtained prior to the algorithm. The proposed approach relies on a loss-dependent weighted selection of constraints that are used for learning the metric. Using the corresponding dedicated loss function, the method clearly allows to obtain better results than state-of-the-art methods, both in terms of accuracy and time complexity. Some experimental results on real world, and potentially large, datasets are demonstrating the effectiveness of our proposition. Keywords—Active learning, boosting, constraint selection, Mahalanobis distance, metric learning
On the effect of regenerator placement on spectrum usage in translucent Elastic Optical Networks

Translucent optical networks are considered as a promising solution for reducing the electronic processing overhead of opaque optical networks thanks to a cost-effective use of regenerator resources. In a translucent Elastic Optical Network (EON), in which each transparent segment of an optical path may have different spectrum requirements, the use of regenerators will have an impact on the spectrum occupancy in the network. In this work, we focus on the spectrum allocation and regenerator placement problem and we show that the use of regenerators reduces considerably the utilization of spectrum resources in a translucent EON.
Benefits of Augmented Reality in Educational Environments - A Systematic Literature Review

By augmenting the real world with virtual information, Augmented Reality (AR) provides new possibilities for education. Although AR is frequently applied in educational environments, the value of AR applications in these environments is not yet investigated in its entirety. Additionally, educators face different directions of AR applications, which may differ regarding their potential benefits. To help overcome these challenges, we conduct a systematic literature review to synthesize a set of 25 publications. We identify 14 different benefits and cluster these into six different groups. We use the Five Directions of AR in educational environments by Yuen et al. [1] to further detail possible benefits for different directions of AR applications. Our findings indicate that specific directions of AR applications are more likely to lead to certain benefits such as increased motivation. Future research is needed to investigate the causality between benefits and directions of AR in more detail.
Sedative, hypnotic and anticonvulsant activities of the ethanol fraction from Rhizoma Pinelliae Praeparatum.

ETHNOPHARMACOLOGICAL RELEVANCE
Rhizoma Pinelliae Praeparatum is the product of raw Rhizoma Pinellia processed with alkaline solution and Licorice, which had been widely used for treatment of insomnia in traditional Chinese medicine. The present study aimed to investigate the sedative, hypnotic and anticonvulsant activities of ethanol fraction from Rhizoma Pinelliae Praeparatum (EFRP) and to determine whether these effects were related to GABAergic mechanism.


MATERIALS AND METHODS
The sedative, hypnotic and anticonvulsant activities of EFRP were investigated with locomotion activity, pentobarbital-induced sleeping and nikethamide (NKTM)-induced convulsion tests, respectively. Additionally, the effects of flumazenil (an antagonist of GABA(A) receptor) and L-malic acid (blocker of synthetic enzyme for GABA) on the hypnotic activity of EFRP were evaluated.


RESULTS
EFRP at dose of 12 g/kg significantly inhibited the locomotion activity of mice. EFRP showed synergic effect on pentobarbital-induced sleeping by increased numbers of mice falling asleep, reduced the sleep latency and prolonged the sleeping time. L-malic acid and flumazenil inhibited the augment effects of EFRP on pentobarbital-induced sleeping. EFRP promoted a significant protection to NKTM-induced convulsion, by prolonged the death latency and decreased mortality.


CONCLUSION
EFRP possessed sedative, hypnotic and anticonvulsant activities and these activities may be related to the GABAergic system.
Dysfunctional attitudes and 5-HT2 receptors during depression and self-harm.

OBJECTIVE
Dysfunctional attitudes are negatively biased assumptions and beliefs regarding oneself, the world, and the future. In healthy subjects, increasing serotonin (5-HT) agonism with a single dose of d-fenfluramine lowered dysfunctional attitudes. To investigate whether the converse, a low level of 5-HT agonism, could account for the higher levels of dysfunctional attitudes observed in patients with major depression or with self-injurious behavior, cortex 5-HT(2) receptor binding potential and dysfunctional attitudes were measured in patients with major depressive disorder, patients with a history of self-injurious behavior, and healthy comparison subjects (5-HT(2) receptor density increases during 5-HT depletion).


METHOD
Twenty-nine healthy subjects were recruited to evaluate the effect of d-fenfluramine or of clonidine (control condition) on dysfunctional attitudes. Dysfunctional attitudes were assessed with the Dysfunctional Attitude Scale 1 hour before and 1 hour after drug administration. In a second experiment, dysfunctional attitudes and 5-HT(2) binding potential were measured in 22 patients with a major depressive episode secondary to major depressive disorder, 18 patients with a history of self-injurious behavior occurring outside of a depressive episode, and another 29 age-matched healthy subjects. Cortex 5-HT(2) binding potential was measured with [(18)F]setoperone positron emission tomography.


RESULTS
In the first experiment, dysfunctional attitudes decreased after administration of d-fenfluramine. In the second experiment, in the depressed group, dysfunctional attitudes were positively associated with cortex 5-HT(2) binding potential, especially in Brodmann's area 9 (after adjustment for age). Depressed subjects with extremely dysfunctional attitudes had higher 5-HT(2) binding potential, compared to healthy subjects, particularly in Brodmann's area 9.


CONCLUSIONS
Low levels of 5-HT agonism in the brain cortex may explain the severely pessimistic, dysfunctional attitudes associated with major depression.
Genetic Programming

The goal of getting computers to automatically solve problems is central to artificial intelligence, machine learning, and the broad area encompassed by what Turing called “machine intelligence” (Turing, 1948, 1950). In his talk entitled AI: Where It Has Been and Where It Is Going, machine learning pioneer Arthur Samuel stated the main goal of the fields of machine learning and artificial intelligence:
Do gender differences exist in the ventilatory response to progressive exercise in males and females of average fitness?

Gender differences in lung volumes and flow rates, and in respiratory control have been documented previously. How these gender differences affect exercise responses in normal subjects is less clear, particularly as many studies involved highly fit subjects. This study aimed to investigate potential gender differences occurring during progressive exercise in healthy males and females of average fitness. Fourteen males and ten females of mean (SD) age 23 (0.35) years completed a progressive exercise test to exhaustion on a cycle ergometer, with a ramp increase of 15 W min−1 (female) or 20 W min−1 (male). All females were studied during the follicular phase of their menstrual cycle. Cardiorespiratory variables were measured, breath by breath, and values were compared at rest, at 40 W, at physiologically equivalent workloads below, at and above the gas exchange threshold and at peak oxygen uptake (V̇O2peak). Mean V̇O2peak (SEM) was 32.4 (2.01) ml kg−1 min−1 for the females and 41.9 (1.80) ml kg−1 min−1 for the males. Females had a significantly lower end-tidal partial CO2 pressure at rest and throughout exercise. Increases in exercise minute ventilation were achieved by a significantly greater tidal volume in males, whereas females adopted a significantly greater breathing frequency. Ratings of respiratory discomfort were significantly greater in the male group at physiologically equivalent workloads compared to the female group. This study shows gender differences exist in the ventilatory and sensory response to progressive exercise in untrained subjects. Further work is required to ascertain if these effects are altered during the luteal phase of the menstrual cycle.
Hybrid Spatial Modulation Beamforming for mmWave Railway Communication Systems

Using higher frequency bands [e.g., millimeter wave (mmWave)] is the most effective and straightforward way to alleviate the bands scarcity at lower frequency bands (e.g., microwave) while simultaneously supporting the ever-growing data rate demands for future cellular networks. Cellular-networks-based high-speed railway (HSR) wireless communication systems also need to be evolved to satisfy the requirements of train-ground data transmission by using higher frequency bands. An essential characteristic of HSR propagation channels is the strong line of sight, which results in high channel correlation. Therefore, the conventional multiple input multiple output (MIMO, e.g., VBLAST, STBC) is less effective under the HSR scenario. Moreover, the high complexity of the conventional MIMO makes it hard to achieve multiple antenna gain. Spatial modulation (SM) is a low complexity and high spectral efficiency multiple antenna technology that has emerged in recent years. The properties of SM imply that it may be a potential technique for improving the performance of HSR wireless communication systems. In this paper, a hybrid SM beamforming scheme operating at mmWave frequency bands is proposed for future 5G HSR wireless communication systems. The proposed scheme is designed in both analog and digital domains. In digital domain, SM is used to activate antenna array (AA) indices to convey information bits. RF beams are predefined and the optimal beams are selected to transmit modulation symbols in analog domain. Theoretical analysis and numerical results indicate that the proposed scheme achieves a good compromise between performance and complexity. Multiple antenna gain, which is difficult to achieve by the conventional MIMO, can be almost achieved by the proposed scheme due to analog beamforming. Numerical results further show that the performance of the proposed scheme is not sensitive to the number of predefined RF beams, but it is to some extent sensitive to both AAs at base station and antenna elements in an AA on the train.
Lattice Boltzmann Methods for Computational Fluid Dynamics

The Lecture Notes are used for the a short course on the theory and applications of the lattice Boltzmann methods for computational uid dynamics taugh by the author at Institut f ur Computeranwendungen im Bauingenieurwesen (CAB), Technischen Universitat Braunschweig, during August 7 { 12, 2003. The lectures cover the basic theory of the lattice Boltzmann equation and its applications to hydrodynamics. Lecture One brie y reviews the history of the lattice gas automata and the lattice Boltzmann equation and their connections. Lecture Two provides an a priori derivation of the lattice Boltzmann equation, which connects the lattice Boltzmann equation to the continuous Boltzmann equation and demonstrates that the lattice Boltzmann equation is indeed a special nite di erence form of the Boltzmann equation. Lecture Two also includes the derivation of the lattice Boltzmann model for nonideal gases from the Enskog equation for dense gases. Lecture Three studies the generalized lattice Boltzmann equation with multiple relaxation times. A summary is provided at the end of each Lecture. Lecture Four discusses the uid-solid boundary conditions in the lattice Boltzmann methods. Applications of the lattice Boltzmann mehod to particulate suspensions, turbulence ows, and other ows are also shown. An Epilogue on the rationale of the lattice Boltzmann method is given. Some key references in the literature is also provided.
Effectiveness of Home-Based Cupping Massage Compared to Progressive Muscle Relaxation in Patients with Chronic Neck Pain—A Randomized Controlled Trial

UNLABELLED
Chronic neck pain is a major public health problem with very few evidence-based complementary treatment options. This study aimed to test the efficacy of 12 weeks of a partner-delivered home-based cupping massage, compared to the same period of progressive muscle relaxation in patients with chronic non-specific neck pain. Patients were randomly assigned to self-directed cupping massage or progressive muscle relaxation. They were trained and asked to undertake the assigned treatment twice weekly for 12 weeks. Primary outcome measure was the current neck pain intensity (0-100 mm visual analog scale; VAS) after 12 weeks. Secondary outcome measures included pain on motion, affective pain perception, functional disability, psychological distress, wellbeing, health-related quality of life, pressure pain thresholds and adverse events. Sixty one patients (54.1±12.7 years; 73.8%female) were randomized to cupping massage (n = 30) or progressive muscle relaxation (n = 31). After treatment, both groups showed significantly less pain compared to baseline however without significant group differences. Significant effects in favor of cupping massage were only found for wellbeing and pressure pain thresholds. In conclusion, cupping massage is no more effective than progressive muscle relaxation in reducing chronic non-specific neck pain. Both therapies can be easily used at home and can reduce pain to a minimal clinically relevant extent. Cupping massage may however be better than PMR in improving well-being and decreasing pressure pain sensitivity but more studies with larger samples and longer follow-up periods are needed to confirm these results.


TRIAL REGISTRATION
ClinicalTrials.gov NCT01500330.
Effect of pravastatin on total kidney volume, left ventricular mass index, and microalbuminuria in pediatric autosomal dominant polycystic kidney disease.

BACKGROUND AND OBJECTIVES
In autosomal dominant polycystic kidney disease (ADPKD), progressive kidney cyst formation commonly leads to ESRD. Because important manifestations of ADPKD may be evident in childhood, early intervention may have the largest effect on long-term outcome. Statins are known to slow progressive nephropathy in animal models of ADPKD. This randomized double-blind placebo-controlled phase III clinical trial was conducted from 2007 to 2012 to assess the effect of pravastatin on height-corrected total kidney volume (HtTKV) and left ventricular mass index (LVMI) by magnetic resonance imaging (MRI) and urine microalbumin excretion (UAE) in children and young adults with ADPKD.


DESIGNS, SETTING, PARTICIPANTS, & MEASUREMENTS
There were 110 pediatric participants with ADPKD and normal kidney function receiving lisinopril who were randomized to treatment with pravastatin or placebo for a 3-year period with evaluation at 0, 18, and 36 months. The primary outcome variable was a ≥ 20% change in HtTKV, LVMI, or UAE over the study period.


RESULTS
Ninety-one participants completed the 3-year study (83%). Fewer participants receiving pravastatin achieved the primary endpoint compared with participants receiving placebo (69% versus 88%; P=0.03). This was due primarily to a lower proportion reaching the increase in HtTKV (46% versus 68%; P=0.03), with similar findings observed between study groups for LVMI (25% versus 38%; P=0.18) and UAE (47% versus 39%; P=0.50). The percent change in HtTKV adjusted for age, sex, and hypertension status over the 3-year period was significantly decreased with pravastatin (23% ± 3% versus 31% ± 3%; P=0.02).


CONCLUSIONS
Pravastatin is an effective agent to slow progression of structural kidney disease in children and young adults with ADPKD. These findings support a role for early intervention with pravastatin in this condition.
Continuous dopamine-receptor treatment of Parkinson's disease: scientific rationale and clinical implications

Levodopa-induced motor complications are a common source of disability for patients with Parkinson's disease. Evidence suggests that motor complications are associated with non-physiological, pulsatile stimulation of dopamine receptors. In healthy brains, dopamine neurons fire continuously, striatal dopamine concentrations are relatively constant, and there is continuous activation of dopamine receptors. In the dopamine-depleted state, standard levodopa therapy does not normalise the basal ganglia. Rather, levodopa or other short-acting dopaminergic drugs induce molecular changes and altered neuronal firing patterns in basal ganglia neurons leading to motor complications. The concept of continuous dopaminergic stimulation proposes that continuous delivery of a dopaminergic drug will prevent pulsatile stimulation and avoid motor complications. In monkeys treated with MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine) and patients with Parkinson's disease, long-acting or continuous infusion of a dopaminergic drug reduces the risk of motor complications. The current challenge is to develop a long-acting oral formulation of levodopa that provides clinical benefits but avoids motor complications.