bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compressed 3D and 2D digital images versus standard 3D slide film for the evaluation of glaucomatous optic nerve features
Authors: Sandhu Simrenjeet , Rudnisky Chris , Arora Sourabh , Kassam Faazil , Douglas Gordon , Edwards Marianne C , Verstraten Karin , Wong Beatrice , Damji Karim F 
Published: August 2017

SynopsisClinicians can feel confident compressed three-dimensional digital (3DD) and two-dimensional digital (2DD) imaging evaluating important features of glaucomatous disc damage is comparable to the previous gold standard of stereoscopic slide film photography, supporting the use of digital imaging for teleglaucoma applications.Background/aimsTo compare the sensitivity and specificity of 3DD and 2DD photography with stereo slide film in detecting glaucomatous optic nerve head features.MethodsThis prospective, multireader validation study imaged and compressed glaucomatous, suspicious or normal optic nerves using a ratio of 16:1 into 3DD and 2DD (1024×1280 pixels) and compared both to stereo slide film. The primary outcome was vertical cup-to-disc ratio (VCDR) and secondary outcomes, including disc haemorrhage and notching, were also evaluated. Each format was graded randomly by four glaucoma specialists. A protocol was implemented for harmonising data including consensus-based interpretation as needed.ResultsThere were 192 eyes imaged with each format. The mean VCDR for slide, 3DD and 2DD was 0.59±0.20, 0.60±0.18 and 0.62±0.17, respectively. The agreement of VCDR for 3DD versus film was κ=0.781 and for 2DD versus film was κ=0.69. Sensitivity (95.2%), specificity (95.2%) and area under the curve (AUC; 0.953) of 3DD imaging to detect notching were better (p=0.03) than for 2DD (90.5%; 88.6%; AUC=0.895). Similarly, sensitivity (77.8%), specificity (98.9%) and AUC (0.883) of 3DD to detect disc haemorrhage were better (p=0.049) than for 2DD (44.4%; 99.5%; AUC=0.72). There was no difference between 3DD and 2DD imaging in detecting disc tilt (p=0.7), peripapillary atrophy (p=0.16), grey crescent (p=0.1) or pallor (p=0.43), although 3D detected sloping better (p=0.013).ConclusionsBoth 3DD and 2DD imaging demonstrates excellent reproducibility in comparison to stereo slide film with experts evaluating VCDR, notching and disc haemorrhage. 3DD in this study was slightly more accurate than 2DD for evaluating disc haemorrhage, notching and sloping.
Observational study of sleep disturbances in advanced cancer
Authors: Davies Andrew Neil , Patel Shuchita D , Gregory Amanda , Lee Bernadette 
Published: August 2017

ObjectivesTo determine the prevalence of nightmares, sleep terrors and vivid dreams in patients with advanced cancer (and the factors associated with them in this group of patients).MethodsThe study was a multicentre, prospective observational study. Participants were patients with locally advanced/metastatic cancer, who were under the care of a specialist palliative care team. Data were collected on demographics, cancer diagnosis, cancer treatment, current medication, performance status, sleep quality (Pittsburgh Sleep Quality Index), dreams and nightmares, and physical and psychological symptoms (Memorial Symptom Assessment Scale-Short Form).Results174 patients completed the study. Sleep quality was poor in 70.5% participants and was worse in younger patients and in inpatients (hospital, hospice). 18% of patients reported nightmares, 8% sleep terrors and 34% vivid dreams. Nightmares were associated with poor sleep quality and greater sleep disturbance; nightmares were also associated with greater physical and psychological burden. Nightmares (and vivid dreams) were not associated with the use of opioid analgesics.ConclusionsNightmares do not seem to be especially common in patients with advanced cancer, and when they do occur, there is often an association with sleep disturbance, and/or physical and psychological burden.
High exposure to endotoxin in farming is associated with less new-onset pollen sensitisation
Authors: Elholm Grethe , Schlünssen Vivi , Doekes Gert , Basinas Ioannis , Bolund Anneli Clea Skjelmose , Hjort Charlotte , Grønager Pernille Milvang , Omland Øyvind , Sigsgaard Torben 
Published: August 2017

ObjectivesLittle is known about risk factors for new onset and loss of atopic sensitisation in adulthood. The aim is to examine the longitudinal effect of quantitatively assessed endotoxin exposures on changes in specific allergen sensitisation in young adults.MethodsThe cohort consisted of 1113 young Danish farmers and rural controls, with a mean age of 19 years at baseline. Sensitisation to birch pollen, grass pollen, cat dander and house dust mite was measured by specific IgE levels in serum samples from baseline and at 15 years’ follow-up. Changes in sensitisation were analysed in relation to cumulative endotoxin exposure during follow-up, considering early life farm exposure.ResultsEndotoxin exposure during follow-up was significantly associated with less new onset of specifically grass and birch pollen sensitisation. For the highest versus lowest quartile of cumulative endotoxin exposure, the OR for new-onset IgE sensitisation was 0.35 (0.13–0.91) for birch and 0.14 (0.05–0.50) for grass. On the other hand, loss of pollen sensitisation showed a positive, although mostly non-significant, association with increased levels of endotoxin exposure. Endotoxin exposure was not associated with significant changes in cat dander and house dust mite sensitisation.ConclusionsHigh exposure to endotoxin during young adulthood appears to protect against new onset of pollen sensitisation, independent of childhood farm exposure.
A calibration mechanism based on the principles of the Michelson interferometer micro-thrust test device
Authors: Yan Biao , Wang Hai , Yang Chunlai , Wen Li 
Published: August 2017

A micro-thrust test system based on Michelson interferometer was proposed and tested. The relationship between thrust and output voltage of the calibration component in the system was calculated and verified with numerical modeling. The fitting function of the calibration component was obtained, which will be tested during future thrust test experiments.
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
Authors: Yang Cheng , Sun Maosong , Zhao Wayne Xin , Liu Zhiyuan , Chang Edward Y. 
Published: August 2017

Two characteristics of location-based services are mobile trajectories and the ability to facilitate social networking. The recording of trajectory data contributes valuable resources towards understanding users’ geographical movement behaviors. Social networking is possible when users are able to quickly connect to anyone nearby. A social network with location based services is known as location-based social network (LBSN). As shown in Cho et al. [2013], locations that are frequently visited by socially related persons tend to be correlated, which indicates the close association between social connections and trajectory behaviors of users in LBSNs. To better analyze and mine LBSN data, we need to have a comprehensive view of each of these two aspects, i.e., the mobile trajectory data and the social network.
Specifically, we present a novel neural network model that can jointly model both social networks and mobile trajectories. Our model consists of two components: the construction of social networks and the generation of mobile trajectories. First we adopt a network embedding method for the construction of social networks: a networking representation can be derived for a user. The key to our model lies in generating mobile trajectories. Second, we consider four factors that influence the generation process of mobile trajectories: user visit preference, influence of friends, short-term sequential contexts, and long-term sequential contexts. To characterize the last two contexts, we employ the RNN and GRU models to capture the sequential relatedness in mobile trajectories at the short or long term levels. Finally, the two components are tied by sharing the user network representations. Experimental results on two important applications demonstrate the effectiveness of our model. In particular, the improvement over baselines is more significant when either network structure or trajectory data is sparse.
DMAD
Authors: Shen Jiaxing , Cao Jiannong , Liu Xuefeng , Zhang Chisheng 
Published: August 2017

Wireless networks offer many advantages over wired local area networks such as scalability and mobility. Strategically deployed wireless networks can achieve multiple objectives like traffic offloading, network coverage, and indoor localization. To this end, various mathematical models and optimization algorithms have been proposed to find optimal deployments of access points (APs).
However, wireless signals can be blocked by the human body, especially in crowded urban spaces. As a result, the real coverage of an on-site AP deployment may shrink to some degree and lead to unexpected dead spots (areas without wireless coverage). Dead spots are undesirable, since they degrade the user experience in network service continuity, on one hand, and, on the other hand paralyze some applications and services like tracking and monitoring when users are in these areas. Nevertheless, it is nontrivial for existing methods to analyze the impact of human beings on wireless coverage. Site surveys are too time consuming and labor intensive to conduct. It is also infeasible for simulation methods to predict the number of on-site people.
In this article, we propose DMAD, a Data-driven Measuring of Wi-Fi Access point Deployment, which not only estimates potential dead spots of an on-site AP deployment but also quantifies their severity, using simple Wi-Fi data collected from the on-site deployment and shop profiles from the Internet. DMAD first classifies static devices and mobile devices with a decision-tree classifier. Then it locates mobile devices to grid-level locations based on shop popularities, wireless signal, and visit duration. Last, DMAD estimates the probability of dead spots for each grid during different time slots and derives their severity considering the probability and the number of potential users.
The analysis of Wi-Fi data from static devices indicates that the Pearson Correlation Coefficient of wireless coverage status and the number of on-site people is over 0.7, which confirms that human beings may have a significant impact on wireless coverage. We also conduct extensive experiments in a large shopping mall in Shenzhen. The evaluation results demonstrate that DMAD can find around 70% of dead spots with a precision of over 70%.
Search, Mining, and Their Applications on Mobile Devices
Authors: Wang Hongning , Li Rui , Shokouhi Milad , Li Hang , Chang Yi 
Published: August 2017

In recent years, mobile devices have become the most popular interface for users to retrieve and access information: recent reports show that users spend significantly more time and issue more search queries on mobile devices than on desktops in the United States.
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The accelerated growth of mobile usage brings unique opportunities to the information retrieval and data mining research communities.

Mobile devices capture rich contextual and personal signals that can be leveraged to accurately predict users’ intent for serving more relevant content and can even proactively provide novel zero-query recommendations. Apple Siri, Google Now, and Microsoft Cortana are recent examples of such emerging systems. Furthermore, mobile devices constantly generate a huge amount of sensor footprints (e.g., GPS, motion sensors) and user activity data (e.g., used apps) that are often missing from their desktop counterparts. These new sources of implicit and explicit user feedback are valuable for discovering actionable knowledge, and designing better systems that serve each individual the right content at the right time and location. In addition, by aggregating mobile interactions across individuals, one can infer interesting conclusions beyond search and recommendation. Generating real-time traffic estimates is one example of such applications.
This special issue focuses on research problems of search, mining, and their applications in mobile devices. Topics of interest in this special issue include but are not limited to mobile data mining and management, mobile search, personalization and recommendation, mobile user interfaces and human-computer interaction, and new applications in the mobile environment. The aim of this special issue is to bring together top experts across multiple disciplines, including information retrieval, data mining, mobile computing, and cyberphysical systems, such that academic and industrial researchers can exchange ideas and share the latest developments on the state of the art and practice of mobile search and mobile data mining.
Curcumin limits weight gain, adipose tissue growth, and glucose intolerance following the cessation of exercise and caloric restriction in rats
Authors: Teich Trevor , Pivovarov Jacklyn A. , Porras Deanna P. , Dunford Emily C. , Riddell Michael C. 
Published: August 2017

Weight regain, adipose tissue growth, and insulin resistance can occur within days after the cessation of regular dieting and exercise. This phenomenon has been attributed, in part, to the actions of stress hormones as well as local and systemic inflammation. We investigated the effect of curcumin, a naturally occurring polyphenol known for its anti-inflammatory properties and inhibitory action on 11β-HSD1 activity, on preserving metabolic health and limiting adipose tissue growth following the cessation of daily exercise and caloric restriction (CR). Sprague-Dawley rats (6–7 wk old) underwent a “training” protocol of 24-h voluntary running wheel access and CR (15–20 g/day; ~50–65% of ad libitum intake) for 3 wk (“All Trained”) or were sedentary and fed ad libitum (“Sed”). After 3 wk, All Trained were randomly divided into one group which was terminated immediately (“Trained”), and two detrained groups which had their wheels locked and were reintroduced to ad libitum feeding for 1 wk. The wheel locked groups received either a daily gavage of a placebo (“Detrained + Placebo”) or curcumin (200 mg/kg) (“Detrained + Curcumin”). Cessation of daily CR and exercise caused an increase in body mass, as well as a 9- to 14-fold increase in epididymal, perirenal, and inguinal adipose tissue mass, all of which were attenuated by curcumin ( P < 0.05). Insulin area under the curve (AUC) during an oral glucose tolerance test, HOMA-IR, and C-reactive protein (CRP) were elevated 6-, 9-, and 2-fold, respectively, in the Detrained + Placebo group vs. the Trained group (all P < 0.05). Curcumin reduced insulin AUC, HOMA-IR, and CRP vs. the placebo group (all P < 0.05). Our results indicate that curcumin has a protective effect against weight regain and impaired metabolic control following a successful period of weight loss through diet and exercise, perhaps via inhibition of glucocorticoid action and inflammation. NEW & NOTEWORTHY Weight regain after dieting and exercise is a common phenomenon plaguing many individuals. The biological mechanisms underlying weight regain are incompletely understood and are likely multifactorial. In this paper, we examined the metabolic implications of curcumin, a compound known for its anti-inflammatory properties and inhibitory action on the enzyme 11β-HSD1, in a rodent model of adiposity rebound after the cessation of diet and exercise.
Single Dose of the CXCR4 Antagonist BL-8040 Induces Rapid Mobilization for the Collection of Human CD34+ Cells in Healthy Volunteers
Authors: Abraham Michal , Pereg Yaron , Bulvik Baruch , Klein Shiri , Mishalian Inbal , Wald Hana , Eizenberg Orly , Beider Katia , Nagler Arnon , Golan Rottem , Vainstein Abi , Aharon Arnon , Galun Eithan , Caraco Yoseph , Or Reuven , Peled Amnon 
Published: August 2017

Abstract
Purpose: The potential of the high-affinity CXCR4 antagonist BL-8040 as a monotherapy-mobilizing agent and its derived graft composition and quality were evaluated in a phase I clinical study in healthy volunteers (NCT02073019).
Experimental Design: The first part of the study was a randomized, double-blind, placebo-controlled dose escalation phase. The second part of the study was an open-label phase, in which 8 subjects received a single injection of BL-8040 (1 mg/kg) and approximately 4 hours later underwent a standard leukapheresis procedure. The engraftment potential of the purified mobilized CD34+ cells was further evaluated by transplanting the cells into NSG immunodeficient mice.
Results: BL-8040 was found safe and well tolerated at all doses tested (0.5–1 mg/kg). The main treatment-related adverse events were mild to moderate. Transient injection site and systemic reactions were mitigated by methylprednisolone, paracetamol, and promethazine pretreatment. In the first part of the study, BL-8040 triggered rapid and substantial mobilization of WBCs and CD34+ cells in all tested doses. Four hours postdose, the count rose to a mean of 8, 37, 31, and 35 cells/μL (placebo, 0.5, 0.75, and 1 mg/kg, respectively). FACS analysis revealed substantial mobilization of immature dendritic, T, B, and NK cells. In the second part, the mean CD34+ cells/kg collected were 11.6 × 106 cells/kg. The graft composition was rich in immune cells.
Conclusions: The current data demonstrate that BL-8040 is a safe and effective monotherapy strategy for the collection of large amounts of CD34+ cells and immune cells in a one-day procedure for allogeneic HSPC transplantation. Clin Cancer Res; 23(22); 6790–801. ©2017 AACR.
Estrogen Receptor β Is a Novel Target in Acute Myeloid Leukemia
Authors: Rota Sarah-Grace , Roma Alessia , Dude Iulia , Ma Christina , Stevens Robert , MacEachern Janet , Graczyk Joanna , Espiritu Shaundrei Mabriel G. , Rao Praveen N. , Minden Mark D. , Kreinin Elena , Hess David A. , Doxey Andrew C. , Spagnuolo Paul A. 
Published: August 2017

Abstract
Acute myeloid leukemia (AML) is a devastating disease characterized by poor patient outcome and suboptimal chemotherapeutics. Here, a high-throughput screen identified diosmetin, a citrus flavonoid, with anti-AML activity. Diosmetin imparted selective toxicity against leukemia and leukemia stem cells in vitro and in vivo with no effect on normal hematopoietic stem cells. Mechanistically, we demonstrated that diosmetin targets estrogen receptor (ER) β. ERβ expression conferred cell sensitivity, as patient-derived AML cells with high levels of ERβ were sensitive, whereas cells with low ERβ were insensitive to diosmetin. Knockdown of ERβ confirmed resistance, whereas overexpression enhanced sensitivity to diosmetin, which was demonstrated to be mediated by reactive oxygen species signaling. In summary, these studies highlight targeting of ERβ with diosmetin as a potential novel therapeutic strategy for the treatment of AML. Mol Cancer Ther; 16(11); 2618–26. ©2017 AACR.
Apixaban and dalteparin in active malignancy associated venous thromboembolism
Authors: Loprinzi Charles , Ashrani Aneel , Botero Juliana Perez , Leon Ferre Roberto , Henkin Stanislav , Lenz Charles , Le-Rademacher Jennifer , Wysokinski Waldemar , McBane Robert 
Published: August 2017

SummaryCurrently, low molecular weight heparin (LMWH) is the guideline endorsed treatment of patients with cancer associated venous thromboembolism (VTE). While apixaban is approved for the treatment of acute VTE, there are limited data supporting its use in cancer patients. The rationale and design of this investigator initiated Phase IV, multicenter, randomized, open label, superiority trial assessing the safety of apixaban versus dalteparin for cancer associated VTE is provided (ADAM-VTE; NCT02585713). The main aim of the ADAM-VTE trial is to test the hypothesis that apixaban is associated with a significantly lower rate of major bleeding compared to dalteparin in the treatment of cancer patients with acute VTE. The primary safety outcome is rate of major bleeding. Secondary efficacy objective is to assess the rates of recurrent VTE or arterial thromboembolism. Cancer patients with acute VTE (n=300) are randomized to receive apixaban (10 mg twice daily for 7 days followed by 5 mg twice daily thereafter) or dalteparin (200 IU/Kg daily for 30 days followed by 150 IU/kg daily thereafter) for 6 months. Stratification factors used for randomization include cancer stage and cancer specific risk of venous thromboembolism using the Khorana score. Participating centers are chosen from the Academic and Community Cancer Research United (ACCRU) consortium comprised of 90 oncology practices in the United States and Canada. Based on the hypothesis to be tested, we anticipate that these trial results will provide evidence supporting apixaban as an effective treatment of cancer associated VTE at lower rates of major bleeding compared to LMWH.
Downward Influence of QBO-Like Oscillation on Moist Convection in a Two-Dimensional Minimal Model Framework
Authors: Bui Hoang-Hai , Nishimoto Eriko , Yoden Shigeo 
Published: August 2017

Abstract
The influence of the quasi-biennial oscillation (QBO)-like oscillation on moist convection is examined using the two-dimensional minimal model framework of Yoden et al. with two series of parameter sweep experiments: model-top experiments with varying model height and low-level nudging experiments with reduced zonal-mean zonal wind toward zero from the surface to a certain level. The QBO-like oscillation in the mean zonal wind is a robust feature obtained in all the experiments, including low-top cases in which only the tropospheric portion is retained. The zonal-mean precipitation is modulated with a half period of the mean zonal wind oscillation in the model-top experiments, and a positive correlation exists between the precipitation intensity and the vertical shear of the mean zonal wind near the surface. The precipitation modulation is weakened with a nudging of the low-level mean zonal wind but appears again in the cases with the low-level nudging in the middle and lower troposphere. There is a negative correlation between the precipitation intensity and the vertical shear of the mean zonal wind in the upper troposphere. These results suggest that the QBO-like oscillation modulates the moist convection via two mechanisms related to the vertical shear. Large values of the shear near the surface enhance the longevity and intensity of the moist convective systems by separating the updraft and downdraft. On the other hand, large values of shear near the cloud top tend to disrupt the convective structure and lead to weakening moist convection, although this mechanism seems to be secondary.