122 research outputs found

    Survival and quality of life benefit after endoscopic management of malignant central airway obstruction

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    Although interventional management of malignant central airway obstruction (mCAO) is well established, its impact on survival and quality of life (QoL) has not been extensively studied.We prospectively assessed survival, QoL and dyspnea (using validated EORTC questionnaire) in patients with mCAO 1 day before interventional bronchoscopy, 1 week after and every following month, in comparison to patients who declined this approach. Material/Patients/Methods: 36 patients underwent extensive interventional bronchoscopic management as indicated, whereas 12 declined. All patients received full chemotherapy and radiotherapy as indicated. Patients of the 2 groups were matched for age, comorbidities, type of malignancy and level of obstruction. Follow up time was 8.0±8.7 (range 1-38) months.Mean survival for intervention and control group was 10±9 and 4±3 months respectively (p=0.04). QoL improved significantly in intervention group patients up to the 6(th) month (p<0.05) not deteriorating for those surviving up to 12 months. Dyspnea decreased in patients of the intervention group 1 month post procedure remaining reduced for survivors over the 12th month. Patients of the control group had worse QoL and dyspnea in all time points.Interventional management of patients with mCAO, may achieve prolonged survival with sustained significant improvement of QoL and dyspnea

    Trends in Intelligent Communication Systems: Review of Standards, Major Research Projects, and Identification of Research Gaps

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    The increasing complexity of communication systems, following the advent of heterogeneous technologies, services and use cases with diverse technical requirements, provide a strong case for the use of artificial intelligence (AI) and data-driven machine learning (ML) techniques in studying, designing and operating emerging communication networks. At the same time, the access and ability to process large volumes of network data can unleash the full potential of a network orchestrated by AI/ML to optimise the usage of available resources while keeping both CapEx and OpEx low. Driven by these new opportunities, the ongoing standardisation activities indicate strong interest to reap the benefits of incorporating AI and ML techniques in communication networks. For instance, 3GPP has introduced the network data analytics function (NWDAF) at the 5G core network for the control and management of network slices, and for providing predictive analytics, or statistics, about past events to other network functions, leveraging AI/ML and big data analytics. Likewise, at the radio access network (RAN), the O-RAN Alliance has already defined an architecture to infuse intelligence into the RAN, where closed-loop control models are classified based on their operational timescale, i.e., real-time, near real-time, and non-real-time RAN intelligent control (RIC). Different from the existing related surveys, in this review article, we group the major research studies in the design of model-aided ML-based transceivers following the breakdown suggested by the O-RAN Alliance. At the core and the edge networks, we review the ongoing standardisation activities in intelligent networking and the existing works cognisant of the architecture recommended by 3GPP and ETSI. We also review the existing trends in ML algorithms running on low-power micro-controller units, known as TinyML. We conclude with a summary of recent and currently funded projects on intelligent communications and networking. This review reveals that the telecommunication industry and standardisation bodies have been mostly focused on non-real-time RIC, data analytics at the core and the edge, AI-based network slicing, and vendor inter-operability issues, whereas most recent academic research has focused on real-time RIC. In addition, intelligent radio resource management and aspects of intelligent control of the propagation channel using reflecting intelligent surfaces have captured the attention of ongoing research projects

    A Genome-Wide Homozygosity Association Study Identifies Runs of Homozygosity Associated with Rheumatoid Arthritis in the Human Major Histocompatibility Complex

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    Rheumatoid arthritis (RA) is a chronic inflammatory disorder with a polygenic mode of inheritance. This study examined the hypothesis that runs of homozygosity (ROHs) play a recessive-acting role in the underlying RA genetic mechanism and identified RA-associated ROHs. Ours is the first genome-wide homozygosity association study for RA and characterized the ROH patterns associated with RA in the genomes of 2,000 RA patients and 3,000 normal controls of the Wellcome Trust Case Control Consortium. Genome scans consistently pinpointed two regions within the human major histocompatibility complex region containing RA-associated ROHs. The first region is from 32,451,664 bp to 32,846,093 bp (−log10(p)>22.6591). RA-susceptibility genes, such as HLA-DRB1, are contained in this region. The second region ranges from 32,933,485 bp to 33,585,118 bp (−log10(p)>8.3644) and contains other HLA-DPA1 and HLA-DPB1 genes. These two regions are physically close but are located in different blocks of linkage disequilibrium, and ∼40% of the RA patients' genomes carry these ROHs in the two regions. By analyzing homozygote intensities, an ROH that is anchored by the single nucleotide polymorphism rs2027852 and flanked by HLA-DRB6 and HLA-DRB1 was found associated with increased risk for RA. The presence of this risky ROH provides a 62% accuracy to predict RA disease status. An independent genomic dataset from 868 RA patients and 1,194 control subjects of the North American Rheumatoid Arthritis Consortium successfully validated the results obtained using the Wellcome Trust Case Control Consortium data. In conclusion, this genome-wide homozygosity association study provides an alternative to allelic association mapping for the identification of recessive variants responsible for RA. The identified RA-associated ROHs uncover recessive components and missing heritability associated with RA and other autoimmune diseases

    Modeling of the Secondary System's Generated Interference and Studying of its Impact on the Secondary System Design

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    In this paper we study how much capacity a cellular secondary system can achieve if the interference to the TV system is kept under control. The interference is modeled and controlled in a slow fading environment. The secondary system's capacity is computed for the adjacent and for the co-channel (with respect to the TV channel). We study the behavior of the system capacity while changing the size of the no transmission area surrounding the TV coverage area. It turns out that for most of the secondary cell sizes the network with adjacent channel is in interference limited mode and the network with co-channel is in noise limited mode. Since in the co-channel we can not use very high power it is recommended to use in bigger cells only adjacent channel

    Correlated interference from uncorrelated users in bounded ad hoc networks with blockage

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    In this letter, we study the joint impact of user density, blockage density and deployment area on the temporal correlation of interference for static users and users with uncorrelated mobility. Even if the user locations are uncorrelated over time, the interference level can still be correlated when the deployment area is bounded and/or there is blockage. We also show that at a high blockage density, the temporal correlation coefficients increase with the user-to-blockage density ratio

    Modulation of peripheral immune responses by paclitaxel-ifosfamide- cisplatin chemotherapy in advanced non-small-cell lung cancer

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    Purpose: The aim of this study was to assess systemic immunological responses in non-small-cell lung cancer (NSCLC) patients with stage III/IV disease during treatment with paclitaxel-ifosfamide-cisplatin (TIP) chemotherapy. Methods: Peripheral blood mononuclear cells (PBMCs) collected from healthy donors (HD) (n = 20) and chemotherapy-naive NSCLC patients treated with TIP (n = 32) were tested for production of IL-1, TNF-α, TNF-β, IL-6, IL-8, IL-10, IL-12 and IL-2 upon polyclonal stimulation with anti-CD3 mAb. They were further assessed over a treatment period of twelve weeks (i.e., four treatment cycles). Results: PBMCs from NSCLC patients produced higher IL-1, TNF-α, TNF-β, IL-6, IL-8, IL-10 and IL-12 levels, whereas IL-2 exhibited lower values compared to HD (p &lt; 0.001 for all parameters). Of interest, patients who responded to treatment had significantly higher increases in IL-2 (p &lt; 0.001) and significantly higher decreases in IL-1 (p &lt; 0.001), TNF-α (p &lt; 0.001), TNF-β (p &lt; 0.001), IL-6 (p = 0.02), IL-8 (p &lt; 0.001), IL-10 (p &lt; 0.001) and IL-12 (p &lt; 0.001) levels. Non-responders revealed post-therapeutically a significantly higher increase in IL-1, TNF-α, TNF-β, IL-6, IL-8, IL-10 and IL-12 secretion and a significantly higher decrease in IL-2 levels (p &lt; 0.001 for all parameters). Patients who responded to treatment and had a significantly higher increase in IL-2 showed a significantly longer median survival (p value &lt; 0.001, 26 vs. 7.5 months). Conclusion: Our study indicates that monitoring cytokine dynamics in patients with advanced NSCLC and especially those of IL-2 in peripheral blood components in vitro could be used as a predictor of treatment-related outcome and overall survival in NSCLC. © 2013 Springer-Verlag Berlin Heidelberg

    Two new vertebrate localities from the Early Pleistocene of Mygdonia Basin (Macedonia, Greece): Preliminary results

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    Two new vertebrate fossiliferous localities from the Pleistocene of the Mygdonia Basin (Macedonia, Greece), Tsiotra Vryssi (TSR) and Platanochori-1 (PLN), are presented in this article. TSR belongs to the Gerakarou Formation and its preliminary faunal list includes the corvid Corvus pliocaenus, the hyaenid Pachycrocuta brevirostris, the canid Canis etruscus, the rhinoceros Stephanorhinus sp., two species of Equus, the bovid Bison sp., the cervid Metacervocerus rhenanus and the giraffid Palaeotragus sp. PLN belongs to the Platanochori Formation (overlying Gerakarou Formation) and its fauna includes the following taxa: Stephanorhinus hundsheimensis, Equus apolloniensis, Bison sp. and Pontoceros ambiguus. The preliminary comparison of these faunal assemblages with the already known localities from the Mygdonia Basin and the wider region, combined with the geological data, suggest a Late Villafranchian age for TSR, chronologically intermediate between the localities Gerakarou-1 and Apollonia-1, while the fauna from PLN is indicative of a Latest Villafranchian age, similar to that of Apollonia-1. These new localities will enhance our understanding of the crucial time period of the earliest dispersal of hominins into Europe. © 2015 Académie des sciences
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