bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cancer-induced heterogeneous immunosuppressive tumor microenvironments and their personalized modulation
Authors: Yaguchi Tomonori , Kawakami Yutaka 
Published: July 2016

Abstract
Although recent cancer immunotherapy strategies, including immune-checkpoint blockade (i.e. blocking PD-1, PD-L1 or CTLA-4), have shown durable clinical effects in some (but not all) patients with various advanced cancers, further understanding of human immunopathology, particularly in tumor microenvironments, is essential to improve this type of therapy. The major hurdle for immunotherapy is the immunosuppression that is found in cancer patients. There are two types of immunosuppression: one is induced by gene alterations in cancer; the other is local adaptive immunosuppression, triggered by tumor-specific T cells in tumors. The former is caused by multiple mechanisms via various immunosuppressive molecules and via cells triggered by gene alterations, including activated oncogenes, in cancer cells. The various immunosuppressive mechanisms involve signaling cascades that vary among cancer types, subsets within cancer types and individual cancers. Therefore, personalized immune-interventions are necessary to appropriately target oncogene-induced signaling that modulates anti-cancer immune responses, on the basis of genetic and immunological analysis of each patient. Further understanding of human cancer immunopathology may lead to real improvement of current cancer immunotherapies.
Altering Speed of Locomotion
Authors: Van Den Bergh Bram , Heuvinck Nico , Schellekens Gaby A. C. , Vermeir Iris 
Published: July 2016

Abstract
Even though 80% of a shopper’s time in the store is spent moving from place to place, little is known about managing the pace of in-store traffic flow. Based on the store atmospherics literature, this article introduces interventions to optimize the pace of locomotion. A series of lab and field experiments demonstrates that changes in flooring affect customers’ walking speed. The number, the nature, and the relative salience of progress markers along a walking path toward a physical location communicate goal progress and thus the motivation to reach a particular destination. Consistent with a goal gradient account, customers walk faster when fewer progress markers are placed along the walking path to the goal. The effect of the number of progress markers diminishes when the markers are unrelated to the goal and reverses when the markers are relatively more salient than the goal. This article contributes to the goal literature by showing how markers affect perceptions of goal progress (i.e., level vs. rate of progress) and provides concrete insights to speed up and slow down customers’ walking speed in a retail environment.
The Systemic Risk Buffer for UK Banks: A Response to the Bank of England’s Consultation Paper
Authors: Vickers John 
Published: July 2016

Abstract
The article responds to the Bank of England’s (BoE) consultation paper of January 2016 on the systemic risk buffer for UK ring-fenced banks. It argues that, contrary to its proposed policy, the BoE should apply the highest permitted buffer rate—3 per cent of risk-weighted assets of common equity—to all large ring-fenced banks. The BoE’s reasons for lowering its estimate of optimal equity capital requirements are assessed critically.
Input Specificity and the Propagation of Idiosyncratic Shocks in Production Networks
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Authors: Barrot Jean-Noël , Sauvagnat Julien 
Published: July 2016

Abstract
This article examines whether firm-level idiosyncratic shocks propagate in production networks. We identify idiosyncratic shocks with the occurrence of natural disasters. We find that affected suppliers impose substantial output losses on their customers, especially when they produce specific inputs. These output losses translate into significant market value losses, and they spill over to other suppliers. Our point estimates are economically large, suggesting that input specificity is an important determinant of the propagation of idiosyncratic shocks in the economy.
Earthquakes, Religion, and Transition to Self-Government in Italian Cities*
Authors: Belloc Marianna , Drago Francesco , Galbiati Roberto 
Published: July 2016

AbstractThis article presents a unique historical experiment to explore the dynamics of institutional change in the Middle Ages. We have assembled a novel data set, where information on political institutions for northern central Italian cities between 1000 and 1300 is matched with detailed information on the earthquakes that occurred in the area and period of interest. Exploiting the panel structure of the data, we document that the occurrence of an earthquake retarded institutional transition from autocratic regimes to self-government (the commune) in cities where the political and the religious leaders were the same person (episcopal see cities), but not in cities where political and religious powers were distinct (non–episcopal see cities). Such differential effect holds for destructive seismic episodes and for events that were felt by the population but did not cause any material damage to persons or objects. Ancillary results show that seismic events provoked a positive and statistically significant differential effect on the construction and further ornamentation of religious buildings between episcopal and non–episcopal see cities. Our findings are consistent with the idea that earthquakes, interpreted in the Middle Ages as manifestation of the will and outrage of God, represented a shock to people’s religious beliefs and, as a consequence, enhanced the ability of political-religious leaders to restore social order after a crisis relative to the emerging communal institutions. This interpretation is supported by historical evidence.
The Liquidity Premium of Near-Money Assets*
Authors: Nagel Stefan 
Published: July 2016

Abstract
This article examines the link between the opportunity cost of money and time-varying liquidity premia of near-money assets. Higher interest rates imply higher opportunity costs of holding money and hence a higher premium for the liquidity service benefits of assets that are close substitutes for money. Consistent with this theory, short-term interest rates in the United States, United Kingdom, and Canada have a strong positive relationship with the liquidity premium of Treasury bills and other near-money assets over periods going back to the 1920s. Once the opportunity cost of money is taken into account, Treasury security supply variables lose their explanatory power for the liquidity premium, except for transitory short-run effects. These findings indicate a high elasticity of substitution between money and near-money assets. As a consequence, a central bank that follows an interest rate operating target not only elastically accommodates and neutralizes shocks to money demand, but effectively also shocks to near-money asset supply and demand.
Mechanocaloric effects in shape memory alloys
Authors: Mañosa Lluís , Planes Antoni 
Published: July 2016

Shape memory alloys (SMA) are a class of ferroic materials which undergo a structural (martensitic) transition where the associated ferroic property is a lattice distortion (strain). The sensitiveness of the transition to the conjugated external field (stress), together with the latent heat of the transition, gives rise to giant mechanocaloric effects. In non-magnetic SMA, the lattice distortion is mostly described by a pure shear and the martensitic transition in this family of alloys is strongly affected by uniaxial stress, whereas it is basically insensitive to hydrostatic pressure. As a result, non-magnetic alloys exhibit giant elastocaloric effects but negligible barocaloric effects. By contrast, in a number of magnetic SMA, the lattice distortion at the martensitic transition involves a volume change in addition to the shear strain. Those alloys are affected by both uniaxial stress and hydrostatic pressure and they exhibit giant elastocaloric and barocaloric effects. The paper aims at providing a critical survey of available experimental data on elastocaloric and barocaloric effects in magnetic and non-magnetic SMA.
This article is part of the themed issue ‘Taking the temperature of phase transitions in cool materials’.
Manipulating virulence factor availability can have complex consequences for infections
Authors: Weigert Michael , Ross-Gillespie Adin , Leinweber Anne , Pessi Gabriella , Brown Sam P. , Kümmerli Rolf 
Published: July 2016

AbstractGiven the rise of bacterial resistance against antibiotics, we urgently need alternative strategies to fight infections. Some propose we should disarm rather than kill bacteria, through targeted disruption of their virulence factors. It is assumed that this approach (i) induces weak selection for resistance because it should only minimally impact bacterial fitness, and (ii) is specific, only interfering with the virulence factor in question. Given that pathogenicity emerges from complex interactions between pathogens, hosts, and their environment, such assumptions may be unrealistic. To address this issue in a test case, we conducted experiments with the opportunistic human pathogen Pseudomonas aeruginosa, where we manipulated the availability of a virulence factor, the iron-scavenging pyoverdine, within the insect host Galleria mellonella. We observed that pyoverdine availability was not stringently predictive of virulence, and affected bacterial fitness in non-linear ways. We show that this complexity could partly arise because pyoverdine availability affects host responses and alters the expression of regulatorily linked virulence factors. Our results reveal that virulence-factor manipulation feeds back on pathogen and host behavior, which in turn affects virulence. Our findings highlight that realizing effective and evolutionarily robust anti-virulence therapies will ultimately require deeper engagement with the intrinsic complexity of host-pathogen systems.
Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity
Authors: Ewert Siobhan , Plettig Philip , Chakravarty M. Mallar , Kühn Andrea , Horn Andreas 
Published: July 2016

AbstractThree-dimensional atlases of subcortical brain structures are valuable tools to reference anatomy in neuroscience and neurology. In the special case of deep brain stimulation (DBS), the three most common targets are the subthalamic nucleus (STN), the internal part of the pallidum (GPi) and the ventral intermediate nucleus of the thalamus (VIM). With the help of atlases that define the position and shape of these target regions within a well-defined stereotactic space, their spatial relationship to implanted deep brain stimulation (DBS) electrodes may be determined.Here we present a composite atlas based on manual segmentations of a multi-modal high-resolution MNI template series, histology and structural connectivity. To attain exact congruence to the template anatomy, key structures were defined using all four modalities of the template simultaneously. In a first step tissue probability maps were defined based on the multimodal intensity profile of each structure. These observer-independent probability maps provided an excellent basis for the subsequent manual segmentation particularly when defining the outline of the target regions.Second, the key structures were used as an anchor point to coregister a histology based atlas into standard space. Finally, a sub-segmentation of the subthalamic nucleus into three functional zones was estimated based on structural connectivity. The resulting composite atlas uses the spatial information of the MNI template for DBS key structures that are visible on the template itself. For remaining structures, it relies on histology or structural connectivity. In this way the final atlas combines the anatomical detail of a histology based atlas with the spatial accuracy of key structures in relationship to the template anatomy. Thus, the atlas provides an ideal tool for the analysis of DBS electrode placement.Highlights:Composite subcortical atlas based on a multimodal, high definition MNI template series, histology and tractographyHigh definition atlas of DBS targets exactly matching MNI 152 NLIN 2009b spaceMultimodal subcortical segmentation algorithm applied to MNI template
Modeling the dynamics of mouse iron body distribution: hepcidin is necessary but not sufficient
Authors: Parmar Jignesh H. , Davis Grey , Shevchuk Hope , Mendes Pedro 
Published: July 2016

AbstractBackgroundIron is an essential element of most living organisms but is a dangerous substance when poorly liganded in solution. The hormone hepcidin regulates the export of iron from tissues to the plasma contributing to iron homeostasis and also restricting its availability to infectious agents. Disruption of iron regulation in mammals leads to disorders such as anemia and hemochromatosis, and contributes to the etiology of several other diseases such as cancer and neurodegenerative diseases. Here we test the hypothesis that hepcidin alone is able to regulate iron distribution in different dietary regimes in the mouse using a computational model of iron distribution calibrated with radioiron tracer data.ResultsA model was developed and calibrated to the data from adequate iron diet, which was able to simulate the iron distribution under a low iron diet. However simulation of high iron diet shows considerable deviations from the experimental data. Namely the model predicts more iron in red blood cells and less iron in the liver than what was observed in experiments.ConclusionsThese results suggest that hepcidin alone is not sufficient to regulate iron homeostasis in high iron conditions and that other factors are important. The model was able to simulate anemia when hepcidin was increased but was unable to simulate hemochromatosis when hepcidin was suppressed, suggesting that in high iron conditions additional regulatory interactions are important.
RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methods
Authors: Holik Aliaksei Z. , Law Charity W. , Liu Ruijie , Wang Zeya , Wang Wenyi , Ahn Jaeil , Asselin-Labat Marie-Liesse , Smyth Gordon K. , Ritchie Matthew E. 
Published: July 2016

AbstractCarefully designed control experiments provide a gold standard for benchmarking different genomics research tools. A shortcoming of many gene expression control studies is that replication involves profiling the same reference RNA sample multiple times. This leads to low, pure technical noise that is atypical of regular studies. To achieve a more realistic noise structure, we generated a RNA-sequencing mixture experiment using two cell lines of the same cancer type. Variability was added by extracting RNA from independent cell cultures and degrading particular samples. The systematic gene expression changes induced by this design allowed benchmarking of different library preparation kits (standard poly-A versus total RNA with Ribozero depletion) and analysis pipelines. Data generated using the total RNA kit had more signal for introns and various RNA classes (ncRNA, snRNA, snoRNA) and less variability after degradation. For differential expression analysis, voom with quality weights marginally outperformed other popular methods, while for differential splicing, DEXSeq was simultaneously the most sensitive and the most inconsistent method. For sample deconvolution analysis, DeMix outperformed IsoPure convincingly. Our RNA-sequencing dataset provides a valuable resource for benchmarking different protocols and data pre-processing workflows. The extra noise mimics routine lab experiments more closely, ensuring any conclusions are widely applicable.
Information technology and safety
Authors: Hallowell Matthew Ryan , Hardison Dylan , Desvignes Matthieu 
Published: July 2016

PurposeThe architecture, engineering and construction industry is known to account for a disproportionate rate of disabling injuries and fatalities. Information technologies show promise for improving safety performance. This paper aims to describe the current state of knowledge in this domain and introduces a framework to integrate attribute-level safety risk data within existing technologies for the first time.Design/methodology/approachThe framework is demonstrated by integrating attribute safety risk data with information retrieval, location and tracking systems, augmented reality and building information models.FindingsFundamental attributes of a work environment can be assigned to construction elements during design and planning. Once assigned, existing risk and predictive models can be leveraged to provide a user with objective, empirically driven feedback including quantity of safety risk, predictions of safety outcomes and clashes among incompatible attributes.Practical implicationsThis framework can provide designers, planners and managers with unbiased safety feedback that increases in detail and accuracy as the project develops. Such information can support prevention through design and safety management in advanced work packaging.Originality/valueThe framework is the first to integrate empirical risk-based safety data with construction information technologies. The results provide users with insight that is unexpected, counter-intuitive or otherwise thought-provoking.
Quantitative analysis of the impact of craft worker availability on construction project safety performance
Authors: Karimi Hossein , Taylor Timothy R.B. , Goodrum Paul M. , Srinivasan Cidambi 
Published: July 2016

Purpose
This paper aims to quantify the impact of craft worker shortage on construction project safety performance.

Design/methodology/approach
A database of 50 North American construction projects completed between 2001 and 2014 was compiled by taking information from a research project survey and the Construction Industry Institute Benchmarking and Metrics Database. The t-test and Mann-Whitney test were used to determine whether there was a significant difference in construction project safety performance on projects with craft worker recruiting difficulty. Poisson regression analysis was then used to examine the relationship between craft worker recruiting difficulty and Occupational Safety and Health Administration Total Number of Recordable Incident Cases per 200,000 Actual Direct Work Hours (TRIR) on construction projects.

Findings
The result showed that the TRIR distribution of a group of projects that reported craft worker recruiting difficulty tended to be higher than the TRIR distribution of a group of projects with no craft worker recruiting difficulty (p-value = 0.004). Moreover, the average TRIR of the projects that reported craft worker recruiting difficulty was more than two times the average TRIR of projects that experienced no craft recruiting difficulty (p-value = 0.035). Furthermore, the Poisson regression analysis demonstrated that there was a positive exponential relationship between craft worker recruiting difficulty and TRIR in construction projects (p-value = 0.004).

Research limitations/implications
The projects used to construct the database are heavily weighted towards industrial construction.

Practical implications
There have been significant long-term gains in construction safety within the USA. However, if recent craft shortages continue, the quantitative analyses presented herein indicate a strong possibility that more safety incidents will occur unless the shortages are reversed. Innovative construction means and methods should be developed and adopted to work in a safe manner with a less qualified workforce.

Originality/value
The Poisson regression model is the first model that quantifiably links project craft worker availability to construction project safety performance.
Physiological cost of concrete construction activities
Authors: Lee Wonil , Migliaccio Giovanni Ciro 
Published: July 2016

PurposeThe purpose of this paper was to investigate the physiological cost of concrete construction activities.Design/methodology/approachFive concrete construction workers were recruited. The workers’ three-week heart rate (HR) data were collected in summer and autumn. In this paper, several HR indexes were used to investigate the physiological cost of work in concrete construction trades, including average working HR, relative HR and ratio of working HR to resting HR.FindingsThis paper measures how absolute and relative HRs vary throughout a workday and how working HR compares to resting HR for individual workers.Research limitations/implicationsField observations are usually extremely difficult as researchers need to overcome a number of barriers, including employers’ resistance to perceived additional liabilities, employees’ fear that their level of activity will be reported to managers and many other practical and technical difficulties. As these challenges increase exponentially with the number of employers, subjects and sites, this study was limited to a small number of subjects all working for the same employer on the same jobsite. Still, challenges are often unpredictable and lessons learned from this study are expected to guide both our and other researchers’ continuation of this work.Originality/valueThe time effect on the physiological cost of work has not been considered in previous studies. Thus, this study is noteworthy owing to the depth of the data collected rather than the breadth of the data.
Tracking-based 3D human skeleton extraction from stereo video camera toward an on-site safety and ergonomic analysis
Authors: Liu Meiyin , Han SangUk , Lee SangHyun 
Published: July 2016

Purpose
As a means of data acquisition for the situation awareness, computer vision-based motion capture technologies have increased the potential to observe and assess manual activities for the prevention of accidents and injuries in construction. This study thus aims to present a computationally efficient and robust method of human motion data capture for the on-site motion sensing and analysis.

Design/methodology/approach
This study investigated a tracking approach to three-dimensional (3D) human skeleton extraction from stereo video streams. Instead of detecting body joints on each image, the proposed method tracks locations of the body joints over all the successive frames by learning from the initialized body posture. The corresponding body joints to the ones tracked are then identified and matched on the image sequences from the other lens and reconstructed in a 3D space through triangulation to build 3D skeleton models. For validation, a lab test is conducted to evaluate the accuracy and working ranges of the proposed method, respectively.

Findings
Results of the test reveal that the tracking approach produces accurate outcomes at a distance, with nearly real-time computational processing, and can be potentially used for site data collection. Thus, the proposed approach has a potential for various field analyses for construction workers’ safety and ergonomics.

Originality/value
Recently, motion capture technologies have rapidly been developed and studied in construction. However, existing sensing technologies are not yet readily applicable to construction environments. This study explores two smartphones as stereo cameras as a potentially suitable means of data collection in construction for the less operational constrains (e.g. no on-body sensor required, less sensitivity to sunlight, and flexible ranges of operations).