nils-herrmann/clean_scirepeval huggingface dataset:
A summary review of wireless sensors and sensor networks for structural health monitoring
Year: 2006

In recent years, there has been an increasing interest in the adoption of emerging sensing technologies for instrumentation within a variety of structural systems. Wireless sensors and sensor networks are emerging as sensing paradigms that the structural engineering field has begun to consider as substitutes for traditional tethered monitoring systems. A benefit of wireless structural monitoring systems is that they are inexpensive to install because extensive wiring is no longer required between sensors and the data acquisition system. Researchers are discovering that wireless sensors are an exciting technology that should not be viewed as simply a substitute for traditional tethered monitoring systems. Rather, wireless sensors can play greater roles in the processing of structural response data; this feature can be utilized to screen data for signs of structural damage. Also, wireless sensors have limitations that require novel system architectures and modes of operation.
Soundscape Quality of Life and Health Paper ICA 2016 226 Application of the Swedish Soundscape Quality Protocol in one European and three Latin American cities
Year: 2016

The Swedish Soundscape Quality Protocol (SSQP) is a tool developed to evaluate and classify acoustic environments according to their acoustic perception by people. This protocol has been proposed by Axelsson, Nilsson and Berglund and it is based on a pleasantness eventfulness principal component model. This model is feed by qualitative measurements of the extension of eight attributes of Soundscapes and allows one to classify the acoustic environments in four Cartesian quadrants: exciting, chaotic, monotonous, and calm. In the present work, the SSQP is applied in urban environments in four cities: Cordoba and Rosario (Argentina) Valdivia (Chile) and Lund (Sweden) The protocol was evaluated through 509 surveys conducted in 122 locations corresponding to 29 open public environments in these four cities. The evaluated environments included parks, squares, streets, avenues, pedestrian streets, cultural spaces, fountains and other recreational facilities. Results show that most urban parks and squares were classified as exciting, while a minority of them was assessed as calm. Most locations on streets and avenues were evaluated as chaotic, whereas most locations in pedestrian streets were categorized as exciting. Not a single urban environment was classified as monotonous.
From Hodge theory to integrability and TQFT tt* geometry International Workshop from TQFT to tt* and Integrability, May 25 29, 2007, University of Augsburg, Augsburg, Germany
Year: 2008

Universal unfoldings of Laurent polynomials and tt* structures by C. Sabbah From primitive forms to Frobenius manifolds by K. Saito and A. Takahashi Twistor stuctures, $tt^ geometry and singularity theory by C. Hertling and C. Sevenheck Differential geometric aspects of the tt* equations by V. Cortes and L. Schafer Hodge theoretic aspects of mirror symmetry by L. Katzarkov, M. Kontsevich, and T. Pantev A weight two phenomenon for the moduli of rank one local systems on open varieties by C. Simpson Associativity for the Neumann system by L. K. Hoevenaars Two dimensional gauge theories and quantum integrable systems by A. A. Gerasimov and S. L. Shatashvili Hurwitz numbers, matrix models and enumerative geometry by V. Bouchard and M. Marino Background independence and the open topological string wavefunction by A. Neitzke and J. Walcher.
Object detection in real time based on improved single shot multi box detector algorithm
Venue: EURASIP J. Wirel. Commun. Netw.
Year: 2020

In today's scenario, the fastest algorithm which uses a single layer of convolutional network to detect the objects from the image is single shot multi box detector (SSD) algorithm. This paper studies object detection techniques to detect objects in real time on any device running the proposed model in any environment. In this paper, we have increased the classification accuracy of detecting objects by improving the SSD algorithm while keeping the speed constant. These improvements have been done in their convolutional layers, by using depth wise separable convolution along with spatial separable convolutions generally called multilayer convolutional neural networks. The proposed method uses these multilayer convolutional neural networks to develop a system model which consists of multilayers to classify the given objects into any of the defined classes. The schemes then use multiple images and detect the objects from these images, labeling them with their respective class label. To speed up the computational performance, the proposed algorithm is applied along with the multilayer convolutional neural network which uses a larger number of default boxes and results in more accurate detection. The accuracy in detecting the objects is checked by different parameters such as loss function, frames per second (FPS) mean average precision (mAP) and aspect ratio. Experimental results confirm that our proposed improved SSD algorithm has high accuracy.
Urethral Injury and Other Urologic Injuries During Transanal Total Mesorectal Excision
Venue: Annals of surgery
Year: 2019

Supplemental Digital Content is available in the text  To identify risk factors for urethral and urologic injuries during transanal total mesorectal excision (taTME) and evaluate outcomes.  Urethral injury is a rare complication of abdominoperineal resection (APR) that has not been reported during abdominal proctectomy. The Low Rectal Cancer Development Program international taTME registry recently reported a 0.8% incidence, but actual incidence and mechanisms of injury remain largely unknown.  A retrospective analysis of taTME cases complicated by urologic injury was conducted. Patient demographics, tumor characteristics, intraoperative details, and outcomes were analyzed, along with surgeons' experience and training in taTME. Surgeons' opinion of contributing factors and best approaches to avoid injuries were evaluated.  Thirty four urethral, 2 ureteral, and 3 bladder injuries were reported during taTME operations performed over 7 years by 32 surgical teams. Twenty injuries occurred during the teams' first 8 taTME cases "early experience" whereas the remainder occurred between the 12th to 101st case. Injuries resulted in a 22% conversion rate and 8% rate of unplanned APR or Hartmann procedure. At median follow up of 27.6 months (range, 3 85) the urethral repair complication rate was 26% with a 9% rate of failed urethral repair requiring permanent urinary diversion. In patients with successful repair, 18% reported persistent urinary dysfunction.  Urologic injuries result in substantial morbidity. Our survey indicated that those occurring in surgeons' early experience might best be reduced by implementation of structured taTME training and proctoring, whereas those occurring later relate to case complexity and may be avoided by more stringent case selection.
The Interplay of Notch Signaling and STAT3 in TLR Activated Human Primary Monocytes
Venue: Front. Cell. Infect. Microbiol.
Year: 2018

The highly conserved Notch signaling pathway essentially participates in immunity through regulation of developmental processes and immune cell activity. In the adaptive immune system, the impact of the Notch cascade in T and B differentiation is well studied. In contrast, the function, and regulation of Notch signaling in the myeloid lineage during infection is poorly understood. Here we show that TLR signaling, triggered through LPS stimulation or in vitro infection with various Gram negative and positive bacteria, stimulates Notch receptor ligand Delta like 1 (DLL1) expression and Notch signaling in human blood derived monocytes. TLR activation induces DLL1 indirectly, through stimulated cytokine expression and autocrine cytokine receptor mediated signal transducer and activator of transcription 3 (STAT3) Furthermore, we reveal a positive feedback loop between Notch signaling and Janus kinase (JAK)/STAT3 pathway during in vitro infection that involves Notch boosted IL 6. Inhibition of Notch signaling by g secretase inhibitor DAPT impairs TLR4 stimulated accumulation of NF kB subunits p65 in the nucleus and subsequently reduces LPS and infection mediated IL 6 production. The reduced IL 6 release correlates with a diminished STAT3 phosphorylation and reduced expression of STAT3 dependent target gene programmed death ligand 1 (PD L1) Corroborating recombinant soluble DLL1 and Notch activator oxaliplatin stimulate STAT3 phosphorylation and expression of immune suppressive PD L1. Therefore we propose a bidirectional interaction between Notch signaling and STAT3 that stabilizes activation of the transcription factor and supports STAT3 dependent remodeling of myeloid cells toward an immuno suppressive phenotype. In summary, the study provides new insights into the complex network of Notch regulation in myeloid cells during in vitro infection. Moreover, it points to a participation of Notch in stabilizing TLR mediated STAT3 activation and STAT3 mediated modulation of myeloid functional phenotype through induction of immune suppressive PD L1.
Measuring R&D tax support
Venue: OECD Science, Technology and Industry Working Papers
Year: 2019

Investment in research and experimental development (R&D) is an important driver of innovation and economic growth. Over the past two decades, tax incentives have become a key policy instrument for promoting business R&D. This raises a number of policy questions: How has the role of tax incentives in the R&D support policy mix evolved across OECD countries and other major economies? How generous are tax relief provisions for different types of firms? How effective are they in stimulating business R&D investment? The OECD R&D Tax Incentives Database (http:/oe.cd/rdtax) aims to contribute to the data infrastructure available to policy makers and researchers to examine the use and impact of R&D tax incentives across OECD countries and partner economies. This paper provides a practical guide to using this new database, describing the recently released R&D tax incentive data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis.
Emotion, core affect, and psychological construction
Year: 2009

As an alternative to using the concepts of emotion, fear, anger, and the like as scientific tools, this article advocates an approach based on the concepts of core affect and psychological construction, expanding the domain of inquiry beyond "emotion" Core affect is a neurophysiological state that underlies simply feeling good or bad, drowsy or energised. Psychological construction is not one process but an umbrella term for the various processes that produce: (a) a particular emotional episode's "components" (such as facial movement, vocal tone, peripheral nervous system change, appraisal, attribution, behaviour, subjective experience, and emotion regulation) (b) associations among the components; and (c) the categorisation of the pattern of components as a specific emotion.
CPU Accelerator Co Scheduling for CNN Acceleration at the Edge
Venue: IEEE Access
Year: 2020

Convolutional neural networks (CNNs) are widely deployed for many artificial intelligence (AI) applications, such as object detection and image classification. Due to the burgeoning revolution in edge AI, CNN hardware accelerators are also being employed in resource constrained edge devices for achieving better performance and energy efficiency at the edge. Although CNN accelerators enable fast and energy efficient CNN inference at the edge, the remaining hardware resources on the edge devices except for the CNN accelerator remain idle, which could otherwise be utilized for attaining even better performance and energy efficiency for CNN inferences. In this paper, we propose a CPU accelerator co scheduling technique for convolution (CONV) layer operations of CNN inferences in resource constrained edge devices. Our proposed co scheduling technique exploits an inherent parallelism in CNN output channels, that is, the operations for generating different output channels in a CONV layer can be executed in parallel. For load balancing between the CPU and the CNN accelerator, we also propose a simple, yet accurate latency model for CONV layer operations in the CPU and the accelerator. Based on the latency estimation of CONV layer operations provided by our proposed model, we distribute the tasks to the CPU and the CNN accelerator in a load balance manner to minimize the idle period during the CONV layer operations in both the CPU and the CNN accelerator. We implement our proposed hardware/software (HW/SW) co scheduling technique in various field programmable gate array system on chip (FPGA SoC) platforms as a proof of concept. Experimental results indicate that our proposed co scheduling technique improves system performance by $1.18\times 2.00\times with energy reduction of 14.9% 49.7% as compared to the accelerator only execution.
Annual Research Review: Mental health and resilience in HIV/AIDS affected children a review of the literature and recommendations for future research.
Venue: Journal of child psychology and psychiatry, and allied disciplines
Year: 2013

To date, research on mental health in HIV affected children (children who have an HIV positive caregiver or live with the virus themselves) has focused on risk factors associated with the disease. However, simultaneous identification of factors that contribute to resilience in the face of risks is also needed. A greater understanding of modifiable protective processes that contribute to resilience in the mental health of children affected by HIV can inform the design of interventions that bolster naturally occurring supports and contribute to early prevention or better management of risks.  We reviewed the recent literature on mental health and resilience in children and adolescents affected by HIV/AIDS. Literature searches of PsycInfo and PubMed were conducted during July December 2011 consistent with Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) standards. Qualitative and quantitative studies were included for review if primary research questions pertained to mental health and coping or protective processes in children and families affected by HIV/AIDS. All studies subject to full review were evaluated for quality using a modified Systematic Assessment of Quality in Observational Research (SAQOR) rating system.  One hundred and seventy one unique studies were returned from online searches of the literature and bibliography mining. Of these, 29 were evaluated as pertaining directly to mental health and resilience in families and children living with HIV/AIDS. Eight studies presented qualitative analyses. Ten quantitative studies examined individual resources contributing to child resilience and four quantitative studies looked at family level resources. Ten studies also investigated community level interactions. Four presented findings from resilience focused interventions.  There is a clear need for rigorous research on mental health and resilience in HIV affected children and adolescents. The evidence base would greatly benefit from more standardized and robust approaches to thinking about resilience from an ecological perspective inclusive of resources at multiple levels and their interactions.
The economic burden of obesity worldwide: a systematic review of the direct costs of obesity
Venue: Obesity reviews an official journal of the International Association for the Study of Obesity
Year: 2011

In the last decade, the prevalence of obesity has increased significantly in populations worldwide. A less dramatic, but equally important increase has been seen in our knowledge of its effects on health and the burden it places on healthcare systems. This systematic review aims to assess the current published literature on the direct costs associated with obesity. A computerized search of English language articles published between 1990 and June 2009 yielded 32 articles suitable for review. Based on these articles, obesity was estimated to account for between 0.7% and 2.8% of a country's total healthcare expenditures. Furthermore, obese individuals were found to have medical costs that were approximately 30% greater than their normal weight peers. Although variations in inclusion/exclusion criteria, reporting methods and included costs varied widely between the studies, a lack of examination of how and why the excess costs were being accrued appeared to be a commonality between most studies. Accordingly, future studies must better explore how costs accrue among obese populations, in order to best facilitate health and social policy interventions.
Remotely Monitored Gamification and Social Incentives to Improve Glycemic Control Among Adults With Uncontrolled Type 2 Diabetes (iDiabetes) Protocol for a Randomized Controlled Trial
Venue: JMIR research protocols
Year: 2019

Type 2 diabetes is a significant cause of morbidity and mortality in the United States. Lifestyle modifications including increasing physical activity and losing weight have been demonstrated to improve glycemic control. However, most patients struggle to make these changes. Many stakeholders are interested in using gamification and social incentives to increase engagement in healthy behaviors. However, these approaches often do not appropriately leverage insights from behavioral economics that could be used to address predictable barriers to behavior change.  This study aimed to describe the protocol for the Influencing DIabetics to Adapt Behaviors related to Exercise and weighT by Enhancing Social incentives (iDiabetes) trial, which aimed to evaluate the effectiveness of gamification interventions that leverage insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives to improve glycemic control, promote weight loss, and increase physical activity among overweight and obese adults with type 2 diabetes.  We are conducting a one year four arm randomized controlled trial of 361 overweight and obese patients with type 2 diabetes and a glycated hemoglobin (HbA1c) level =8.0. Wireless weight scales and wearable devices are provided to remotely monitor weight and physical activity and transmit data to the study team. Patients are recruited by email, following which they establish a baseline measure of weight, daily step count, HbA1c level, and low density lipoprotein cholesterol level and then repeat these measures at 6 and 12 months. The control arm receives no other interventions. Patients randomized to one of the three intervention arms are entered into a game designed using insights from behavioral economics to enhance supportive, competitive, or collaborative social incentives. To examine predictors of strong or poor performance, participants completed validated questionnaires on a range of areas including their personality, risk preferences, and social network.  Enrollment of 361 patients was completed in January 2019. Results are expected in 2020.  The iDiabetes trial represents a scalable model to remotely monitor the daily health behaviors of adults with type 2 diabetes. Results from this trial will help provide insights into how to improve management of patients with type 2 diabetes.
Implementation of Material Sensitivity Analysis for Determining Unknown Remanent Magnetization of a Ferromagnetic Thin Shell
Year: 2009

This paper deals with the numerical implementation of the material sensitivity analysis, which is used to efficiently determine an optimal magnetization distribution on a ship hull. A material sensitivity formula for the forward problem formulated in terms of the equivalent magnetic charge method is analytically derived. Then, the components of the adjoint system including the magnetic pseudo source are thoroughly investigated in order to obtain the first order gradient information of an objective function with respect to the magnetic charge. The formula facilitates applying the deterministic approach to searching for an optimal charge distribution and also it yields stable and reliable solutions to magnetostatic inverse problems in three dimensions. Finally, the proposed method has been successfully applied to a scale model ship and the predicted results on the underwater field disturbance due to the remanent magnetization of the hull have been compared to real measurements.
Cole Parameter Estimation from the Modulus of the Electrical Bioimpeadance for Assessment of Body Composition. A Full Spectroscopy Approach
Year: 2011

Activities around applications of Electrical Bioimpedance Spectroscopy (EBIS) have proliferated in the past decade significantly. Most of these activities have been focused in the analysis of the EBIS measurements, which eventually might enable novel applications. In Body Composition Assessment (BCA) the most common analysis approach currently used in EBIS is based on the Cole function, which most often requires curve fitting. One of the most implemented approaches for obtaining the Cole parameters is performed in the impedance plane through the geometrical properties that the Cole function exhibit in such domain as depressed semi circle. To fit the measured impedance data to a semi circle in the impedance plane, obtaining the Cole parameters in an indirect and sequential manner has several drawbacks. Applying a Non Linear Least Square (NLLS) iterative fitting on the spectroscopy measurement, obtains the Cole parameters considering the frequency information contained in the measurement. In this work, from experimental total right side EBIS measurements, the BCA parameters have been obtained to assess the amount and distribution of whole body fluids. The values for the BCA parameters have been obtained using values for the Cole parameters estimated with both approaches: circular fitting on the impedance plane and NLLS impedance only fitting. The comparison of the values obtained for the BCA parameters with both methods confirms that the NLLS impedance only is an effective alternative as Cole parameter estimation method in BCA from EBIS measurements. Using the modulus of the Cole function as the model for the fitting would eliminate the need for performing phase detection in the acquisition process, simplifying the hardware specifications of the measurement instrumentation when implementing a bioimpedance spectrometer.
Influence of microclimate on the directional dependence of sandstone pillar weathering in Angkor Wat temple, Cambodia
Venue: Progress in Earth and Planetary Science
Year: 2019

AbstractAngkor Wat temple, mainly composed of sandstone blocks, displays a type of religious architecture that signifies the worldviews of the Khmer and Hindu religions. The temple is a part of a UNESCO World Heritage site. However, there are numerous occurrences of hollows, i.e. depression like notches, that have developed at the base of its sandstone pillars due to wet dry and salt weathering. These pillars are variably weathered due to differences in the directions of the pillar surfaces and galleries in the temple. In this study, we analyze the differences in the hollow depths based on the sandstone hardness and water content, as well as a 5 year record of the temperature and humidity in the galleries. The results show that the hollow depths are profound in the outsides of the inner pillars and shallow on the northern side of the first gallery. The hollow depth increases with increasing values obtained by multiplying water content and moisture fluctuations, resulting from direct insolation together with rainfall.