LLukas22/scidocs huggingface dataset:
Cell signaling during Trypanosoma cruzi invasion

Cell signaling is an essential requirement for mammalian cell invasion by Trypanosoma cruzi. Depending on the parasite strain and the parasite developmental form, distinct signaling pathways may be induced. In this short review, we focus on the data coming from studies with metacyclic trypomastigotes (MT) generated in vitro and tissue culture-derived trypomastigotes (TCT), used as counterparts of insect-borne and bloodstream parasites, respectively. During invasion of host cells by MT or TCT, intracellular Ca(2) (+) mobilization and host cell lysosomal exocytosis are triggered. Invasion mediated by MT surface molecule gp82 requires the activation of mammalian target of rapamycin (mTOR), phosphatidylinositol 3-kinase (PI3K), and protein kinase C (PKC) in the host cell, associated with Ca(2) (+)-dependent disruption of the actin cytoskeleton. In MT, protein tyrosine kinase, PI3K, phospholipase C, and PKC appear to be activated. TCT invasion, on the other hand, does not rely on mTOR activation, rather on target cell PI3K, and may involve the host cell autophagy for parasite internalization. Enzymes, such as oligopeptidase B and the major T. cruzi cysteine proteinase cruzipain, have been shown to generate molecules that induce target cell Ca(2) (+) signal. In addition, TCT may trigger host cell responses mediated by transforming growth factor β receptor or integrin family member. Further investigations are needed for a more complete and detailed picture of T. cruzi invasion.
Where Are We Going? Perspective on Hindu–Muslim Relations in India

The twin issues of making peace and building it over time, which are very much at the forefront of social concerns in contemporary India, remain a major source of worry and require a thoughtful understanding. The lack of effort that has been dedicated towards the development of a systematic understanding of the psychological dynamics underpinning intergroup hostility and violence between Hindus and Muslims in India is disappointing to say the least. While elaborate analyses and accounts of these intergroup dynamics have emerged from academic disciplines such as sociology, political science, economics and history (e.g. Basu, Datta, Sarkar, Sarkar, & Sen, 1993; Brass, 2003; Engineer, 1995; Lal, 2003b; Ludden, 2005; Pandey, 1991; Varshney, 2002; Wilkinson, 2004), psychological theory and research with some predictive validity have been slow to emerge (Ghosh & Kumar, 1991; Hutnik, 2004; Kakar, 1996; Nandy, 1990; Singh, 1989). This brings to the forefront a couple of basic queries: (a) how can the discipline of psychology contribute towards the current understanding of intergroup dynamics in India and (b) can psychological theory and research translate into knowledge and action to promote peaceful coexistence in applied contexts? The objective of this chapter is to address these two questions which comprise the core of our account. We will begin this endeavour by briefly reviewing theoretical and empirical paradigms that have been explored previously. These will then be juxtaposed against the historical, social and political contexts of Hindu–Muslim relations in India to elucidate those issues that have been adequately investigated, but most importantly, those issues that need further elaboration and inquiry. Before embarking upon this assessment, we will provide a brief outline of the historical, political and social contexts of Hindu–Muslim relations in India. We maintain that for analysing socially meaningful phenomena it is necessary to depart from the habitually close confines of psychology’s argumentation and to include historical, cultural, social and political perspectives in analysis and theorising (Valsiner, 2001). Consequently, this chapter aims to gather insights from other disciplines and integrate them with psychological understanding in order to help augment the psychology of peace and conflict resolution.
Quantitative cone-beam computed tomography evaluation of palatal bone thickness for orthodontic miniscrew placement.

INTRODUCTION
The purpose of this study was to evaluate the 3-dimensional thickness of the palate to determine the best location to place miniscrews.


METHODS
We selected digital volumetric tomographs from 162 healthy subjects, aged 10 to 44 years (80 male, 82 female). The sample was divided into 3 groups. Group A included 52 subjects (ages, 10-15 years; 28 boys, 24 girls); group B included 38 subjects (ages, 15-20 years; 18 males, 20 females), and group C had 72 subjects (age, 20-44 years; 34 men, 38 women). Ninety-degree paracoronal views of the palatal region at 4, 8, 16, and 24 mm posterior to the incisive foramen were reconstructed, and bone height was measured laterally from the midline in each reconstruction at 0-, 3-, and 6-mm increments to describe the topography of the palate. Measurements of palatal height in 27 of the 162 patients were made by 2 different investigators. Method error was calculated according to the Dahlberg formula (S(2) = Sigmad(2)/2n), and systematic error was evaluated with the dependent Student t test, with P <0.05 considered significant.


RESULTS
The thickest bone (4-8 mm) was found in the anterior part of the palate, at the suture and in the paramedian areas, but the posterior region, despite its reduced thickness, is also suitable for miniscrews. The Kruskal-Wallis test showed no significant differences between the groups in the various palatal sections (median suture, 3 and 6 mm to the right and left of the suture) except between groups A and C in the 16-mm paracoronal section at 6 mm to the right and left of the suture. There were no statistically significant differences due to sex or between the right and left sides of the palate.


CONCLUSIONS
The anterior region is the thickest part of the palate, but the bone thickness in the posterior region is also suitable for screws of appropriate diameter and length.
Young adults' use of communication technology within their romantic relationships and associations with attachment style

In an online survey with two cohorts (2009 and 2011) of undergraduates in dating relationshi ps, we examined how attachment was related to communication technology use within romantic relation ships. Participants reported on their attachment style and frequency of in-person communication as well as phone, text messaging, social network site (SNS), and electronic mail usage with partners. Texting and SNS communication were more frequent in 2011 than 2009. Attachment avoidance was related to less frequent phone use and texting, and greater email usage. Electronic communication channels (phone and texting) were related to positive relationship qualities, however, once accounting for attachment, only moderated effects were found. Interactions indicated texting was linked to more positive relationships for highly avoidant (but not less avoidant) participants. Additionally, email use was linked to more conflict for highly avoidant (but not less avoidant) participants. Finally, greater use of a SNS was positively associated with intimacy/support for those higher (but not lower) on attachment anxiety. This study illustrates how attachment can help to explain why the use of specific technology-based communication channels within romantic relationships may mean different things to different people, and that certain channels may be especially relevant in meeting insecurely attached individuals’ needs. 2013 Elsevier Ltd. All rights reserved.
The hB-Tree: A Multiattribute Indexing Method with Good Guaranteed Performance

A new multiattribute index structure called the hB-tree is introduced. It is derived from the K-D-B-tree of Robinson [15] but has additional desirable properties. The hB-tree internode search and growth processes are precisely analogous to the corresponding processes in B-trees [1]. The intranode processes are unique. A k-d tree is used as the structure within nodes for very efficient searching. Node splitting requires that this k-d tree be split. This produces nodes which no longer represent brick-like regions in k-space, but that can be characterized as holey bricks, bricks in which subregions have been extracted. We present results that guarantee hB-tree users decent storage utilization, reasonable size index terms, and good search and insert performance. These results guarantee that the hB-tree copes well with arbitrary distributions of keys.
Variations in Multiple Birth Rates and Impact on Perinatal Outcomes in Europe

OBJECTIVE
Infants from multiple pregnancies have higher rates of preterm birth, stillbirth and neonatal death and differences in multiple birth rates (MBR) exist between countries. We aimed to describe differences in MBR in Europe and to investigate the impact of these differences on adverse perinatal outcomes at a population level.


METHODS
We used national aggregate birth data on multiple pregnancies, maternal age, gestational age (GA), stillbirth and neonatal death collected in the Euro-Peristat project (29 countries in 2010, N = 5 074 643 births). We also used European Society of Human Reproduction and Embryology (ESHRE) data on assisted conception and single embryo transfer (SET). The impact of MBR on outcomes was studied using meta-analysis techniques with random-effects models to derive pooled risk ratios (pRR) overall and for four groups of country defined by their MBR. We computed population attributable risks (PAR) for these groups.


RESULTS
In 2010, the average MBR was 16.8 per 1000 women giving birth, ranging from 9.1 (Romania) to 26.5 (Cyprus). Compared to singletons, multiples had a nine-fold increased risk (pRR 9.4, 95% Cl 9.1-9.8) of preterm birth (<37 weeks GA), an almost 12-fold increased risk (pRR 11.7, 95% CI 11.0-12.4) of very preterm birth (<32 weeks GA). Pooled RR were 2.4 (95% Cl 1.5-3.6) for fetal mortality at or after 28 weeks GA and 7.0 (95% Cl 6.1-8.0) for neonatal mortality. PAR of neonatal death and very preterm birth were higher in countries with high MBR compared to low MBR (17.1% (95% CI 13.8-20.2) versus 9.8% (95% Cl 9.6-11.0) for neonatal death and 29.6% (96% CI 28.5-30.6) versus 17.5% (95% CI 15.7-18.3) for very preterm births, respectively).


CONCLUSIONS
Wide variations in MBR and their impact on population outcomes imply that efforts by countries to reduce MBR could improve perinatal outcomes, enabling better long-term child health.
A Basic-Cycle Calculation Technique for Efficient Dynamic Data Redistribution

Array redistribution is usually required to enhance algorithm performance in many parallel programs on distributed memory multicomputers. Since it is performed at run-time, there is a performance trade-off between the efficiency of the new data decomposition for a subsequent phase of an algorithm and the cost of redistributing data among processors. In this paper, we present a basic-cycle calculation technique to efficiently perform BLOCK-CYCLIC(s) to BLOCK-CYCLIC(t) redistribution. The main idea of the basic-cycle calculation technique is, first, to develop closed forms for computing source/destination processors of some specific array elements in a basic-cycle, which is defined as lcm(s, t)/gcd(s, t). These closed forms are then used to efficiently determine the communication sets of a basic-cycle. From the source/destination processor/data sets of a basic-cycle, we can efficiently perform a BLOCK-CYCLIC(s) to BLOCK-CYCLIC(t) redistribution. To evaluate the performance of the basic-cycle calculation technique, we have implemented this technique on an IBM SP2 parallel machine, along with the PITFALLS method and the multiphase method. The cost models for these three methods are also presented. The experimental results show that the basiccycle calculation technique outperforms the PITFALLS method and the multiphase method for most test samples.
Risk and Real Estate Investment: An International Perspective

Ever since Markowitz (1952, 1959) laid the groundwork for modern portfolio theory, much is written about the benefits of diversification. Markowitz suggested that it is possible to reduce risk by diversifying across investments without sacrificing return. He provided a solution to the problem of portfolio construction by demonstrating that risk is quantifiable and can be divided into two parts; the systematic part, or the portion that is unavoidable once the investor invests in a particular asset class, and the unsystematic risk, or the part that can be reduced by creating a mixed-asset portfolio. One aspect of this portfolio selection process can be mixing assets across geographic boundaries. The main argument in favor of international diversification is that foreign investments offer additional diversification potential to further reduce the total risk of the portfolio. Or stated differently, international diversification improves the risk-adjusted performance of a domestic portfolio, provided that the investments have independent price behavior. The leading finance paradigm of efficient markets stresses these benefits of so-called naïve diversification. This strategy is acceptable as long as investors are able to freely move their investments between the capital markets of different countries. In other words, naïve diversification would be the best strategy if international capital markets would be fully integrated and efficient. This may approximately be the case for the markets for stocks and bonds, but it is certainly not true in the global market for real estate. In this THE JOURNAL OF REAL ESTATE RESEARCH 1
Foreground Segmentation for Anomaly Detection in Surveillance Videos Using Deep Residual Networks

Efficient anomaly detection in surveillance videos across diverse environments represents a major challenge in Computer Vision. This paper proposes a background subtraction approach based on the recent deep learning framework of residual neural networks that is capable of detecting multiple objects of different sizes by pixel-wise foreground segmentation. The proposed algorithm takes as input a reference (anomalyfree) and a target frame, both temporally aligned, and outputs a segmentation map of same spatial resolution where the highlighted pixels denoting the detected anomalies, which should be all the elements not present in the reference frame. Furthermore, we analyze the benefits of different reconstruction methods to the restore original image resolution and demonstrate the improvement of residual architectures over the smaller and simpler models proposed by previous similar works. Experiments show competitive performance in the tested dataset, as well as real-time processing capability. Keywords— Deep learning, convolutional neural networks, ResNet, residual networks, background subtraction, foreground segmentation, anomaly detection, surveillance, real-time.
Worse glycaemic control in LADA patients than in those with type 2 diabetes, despite a longer time on insulin therapy

Our aim was to study whether glycaemic control differs between individuals with latent autoimmune diabetes in adults (LADA) and patients with type 2 diabetes, and whether it is influenced by time on insulin therapy. We performed a retrospective study of 372 patients with LADA (205 men and 167 women; median age 54 years, range 35–80 years) from Swedish cohorts from Skåne (n = 272) and Västerbotten (n = 100). Age- and sex-matched patients with type 2 diabetes were included as controls. Data on the use of oral hypoglycaemic agents (OHAs), insulin and insulin–OHA combination therapy was retrieved from the medical records. Poor glycaemic control was defined as HbA1c ≥7.0% (≥53 mmol/mol) at follow-up. The individuals with LADA and with type 2 diabetes were followed for an average of 107 months. LADA patients were leaner than type 2 diabetes patients at diagnosis (BMI 27.7 vs 31.0 kg/m2; p < 0.001) and follow-up (BMI 27.9 vs 30.2 kg/m2; p < 0.001). Patients with LADA had been treated with insulin for longer than those with type 2 diabetes (53.3 vs 28.8 months; p < 0.001). There was no significant difference between the patient groups with regard to poor glycaemic control at diagnosis, but more patients with LADA (67.8%) than type 2 diabetes patients (53.0%; p < 0.001) had poor glycaemic control at follow-up. Patients with LADA had worse glycaemic control at follow-up compared with participants with type 2 diabetes (OR = 1.8, 95% CI 1.2, 2.7), adjusted for age at diagnosis, HbA1c, BMI at diagnosis, follow-up time and duration of insulin treatment. Individuals with LADA have worse glycaemic control than patients with type 2 diabetes despite a longer time on insulin therapy.
FPGA-Based Implementation of Multiple Modes in Near Field Inductive Communication Using Frequency Splitting and MIMO Configuration

Conventional near field inductive wireless power transfer theory shows that systems suffer from splitting frequency behaviors when strong coupling condition exists between the transmitter and the receiver. However, this characteristic has not been explored for communication. Our analysis demonstrates that the splitting behaviour of frequency creates multiple frequencies that support inductive communication in MIMO configuration. As a result, we implement a binary chirp modulation on an FPGA and validate two channel communication using splitting. This paper introduces the use of chirp signals to spread data and excite inductive MIMO systems. The simulation and experiment show that the splitting frequency depends on a quality factor and the flux coupling condition between the data source and receiver. In other words, the degree of mutual coupling defines the splitting mode. This paper proves that multi-channel communication using splitting can be used for data transmission. The results show that data rates of 50 Mbps or 69 Kbps can be achieved for each channel between the transmitters and receivers when the transmitter and receiver operate at the original resonant frequency of 13.56 MHz or 28 KHz, respectively and the distance between them varies from about 1 cm to 10 cm.
Compensation strategy: does business strategy influence compensation in high‐technology firms?

Drawing on the strategic employee group concept, this study empirically examines whether a firm's innovation strategy influences compensation systems for strategic employee groups in the high-technology industry. We focus on compensation packages for R&D employees who play a critical role in successful implementations of innovation strategy. Using compensation data for middle-level managers and professional employees from 237 firms in the high-technology industry, we found that a firm's strategic intention to pursue innovation has a significant influence on the relative pay level, compensation time horizon, and stock option vesting period lengths of this strategic employee group. Copyright © 2006 John Wiley & Sons, Ltd.
Ventilator advisory system employing load and tolerance strategy recommends appropriate pressure support ventilation settings: multisite validation study.

BACKGROUND
Loads on the respiratory muscles, reflected by noninvasive measurement of the real-time power of breathing (POBn), and tolerance of these loads, reflected by spontaneous breathing frequency (f) and tidal volume (Vt), should be considered when evaluating patients with respiratory failure. Pressure support ventilation (PSV) should be applied so that muscle loads are not too high or too low. We propose a computerized, ventilator advisory system employing a load (POBn) and tolerance (f and Vt) strategy in a fuzzy logic algorithm to provide guidance for setting PSV. To validate these recommendations, we performed a multisite study comparing the advisory system recommendations to experienced physician decisions.


METHODS
Data were obtained from adults who were receiving PSV (n = 87) at three university sites via a combined pressure/flow sensor, which was positioned between the endotracheal tube and the Y-piece of the ventilator breathing circuit and was directed to the advisory system. Recommendations from the advisory system for increasing, maintaining, or decreasing PSV were compared at specific time points to decisions made by physician intensivists at the bedside.


RESULTS
There were no significant differences in the recommendations by the advisory system (n = 210) compared to those of the physician intensivists to increase, maintain, or decrease PSV (p > 0.05). Physician intensivists agreed with 90.5% of all recommendations. The advisory system was very good at predicting intensivist decisions (r(2) = 0.90; p < 0.05) in setting PSV.


CONCLUSIONS
The novel load-and-tolerance strategy of the advisory system provided automatic and valid recommendations for setting PSV to appropriately unload the respiratory muscles that were as good as the clinical judgment of physician intensivists.
QoS-Aware Revenue-Cost Optimization for Latency-Sensitive Services in IaaS Clouds

Recently, application service providers have been employing Infrastructure-as-a-Service (IaaS) clouds such as Amazon EC2 to scale their computing resources on-demand to adapt to dynamic workloads. Existing research has been focusing more on cloud resource scaling in batch processing, non latency-sensitive applications. In this paper, we consider the problem of revenue-cost optimization in cloud-based application service providers with stringent QoS requirements, e.g., online gaming services. We propose an integrated approach which combines resource provisioning algorithms and request scheduling disciplines. The main goal is to maximize the service provider's revenue via satisfying pre-defined QoS requirements, and at the same time, to minimize cloud resource cost. We have implemented the proposed resource provisioning algorithms and scheduling disciplines into a cloud scaling framework developed in our previous work. Extensive experiments have been conducted with a fully functional implementation and realistic workloads modeled after real traces of popular online game servers. The results demonstrated the effectiveness of our proposed approach.
Transition density: a new measure of activity in digital circuits

Reliability assessment is an important part of the design process of digital integrated circuits. We observe that a common thread that runs through most causes of run-time failure is the extent of circuit activity, i.e., the rate at which its nodes are switching. We propose a new measure of activity, called the transition density, which may be de ned as the \average switching rate" at a circuit node. Based on a stochastic model of logic signals, we also present an algorithm to propagate density values from the primary inputs to internal and output nodes. To illustrate the practical signi cance of this work, we demonstrate how the density values at internal nodes can be used to study circuit reliability by estimating (1) the average power & ground currents, (2) the average power dissipation, (3) the susceptibility to electromigration failures, and (4) the extent of hot-electron degradation. The density propagation algorithm has been implemented in a prototype density simulator. Using this, we present experimental results to assess the validity and feasibility of the approach. In order to obtain the same circuit activity information by traditional means, the circuit would need to be simulated for thousands of input transitions. Thus this approach is very e cient and makes possible the analysis of VLSI circuits, which are traditionally too big to simulate for long input sequences. Submitted to the IEEE Transactions on Computer-Aided Design, 1991.