bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Advancement in Biosensors Technology for Animal and Livestock Health Management
Authors: Neethirajan Suresh , Huang Sheng-Tung , Tuteja Satish K. , Kelton David 
Published: April 2017

ABSTRACTThe termbiosensorsencompasses devices that have the potential to quantify physiological, immunological and behavioural responses of livestock and multiple animal species. Novel biosensing methodologies offer highly specialised monitoring devices for the specific measurement of individual and multiple parameters covering an animal’s physiology as well as monitoring of an animal’s environment. These devices are not only highly specific and sensitive for the parameters being analysed, but they are also reliable and easy to use, and can accelerate the monitoring process. Novel biosensors in livestock management provide significant benefits and applications in disease detection and isolation, health monitoring and detection of reproductive cycles, as well as monitoring physiological wellbeing of the animal via analysis of the animal’s environment. With the development of integrated systems and the Internet of Things, the continuously monitoring devices are expected to become affordable. The data generated from integrated livestock monitoring is anticipated to assist farmers and the agricultural industry to improve animal productivity in the future. The data is expected to reduce the impact of the livestock industry on the environment, while at the same time driving the new wave towards the improvements of viable farming techniques. This review focusses on the emerging technological advancements in monitoring of livestock health for detailed, precise information on productivity, as well as physiology and well-being. Biosensors will contribute to the 4threvolution in agriculture by incorporating innovative technologies into cost-effective diagnostic methods that can mitigate the potentially catastrophic effects of infectious outbreaks in farmed animals
Effects of the glucocorticoid drug prednisone on urinary proteome and candidate biomarkers
Authors: Wu Jianqiang , Li Xundou , An Manxia , Gao Youhe 
Published: April 2017

AbstractUrine is a good source of biomarkers for clinical proteomics studies. However, one challenge in the use of urine biomarkers is that outside factors can affect the urine proteome. Prednisone is a commonly prescribed glucocorticoid used to treat various diseases in the clinic. To evaluate the possible impact of glucocorticoid drugs on the urine proteome, specifically disease biomarkers, this study investigated the effects of prednisone on the rat urine proteome. Urine samples were collected from control rats and prednisone-treated rats after drug administration. The urinary proteome was analyzed using liquid chromatography–tandem mass spectrometry (LC-MS/MS), and proteins were identified using label-free proteome quantification. Differentially expressed proteins and their human orthologs were analyzed with bioinformatics methods. A total of 523 urinary proteins were identified in rat urine. Using label-free quantification, 27 urinary proteins showed expression changes after prednisone treatment. A total of 16 proteins and/or their human orthologs have been previously annotated as disease biomarkers. After functional analysis, we found that the pharmacological effects of prednisone were reflected in the urine proteome. Thus, urinary proteomics has the potential to be a powerful drug efficacy monitoring tool in the clinic. Meanwhile, alteration of the urine proteome due to prednisone treatment should be considered in future disease biomarker studies.
The effect of perinatal brain injury on dopaminergic function and hippocampal volume in adult life
Authors: Froudist-Walsh Sean , Bloomfield Michael A.P. , Veronese Mattia , Kroll Jasmin , Karolis Vyacheslav , Jauhar Sameer , Bonoldi Ilaria , McGuire Philip K. , Kapur Shitij , Murray Robin M. , Nosarti Chiara , Howes Oliver D. 
Published: April 2017

AbstractBackgroundVery preterm birth (<32 weeks of gestation) is associated with long-lasting brain alterations and an increased risk of psychiatric disorders associated with dopaminergic abnormalities. Preclinical studies have shown perinatal brain injuries, including hippocampal lesions, cause lasting changes in dopamine function, but it is not known if this occurs in humans. The purpose of this study was to determine whether very preterm birth and perinatal brain injury were associated with altered dopamine synthesis and reduced hippocampal volume in humans in adulthood.MethodsWe compared adults who were born very preterm with associated perinatal brain injury to adults born very preterm without perinatal brain injury, and age-matched controls born at full term using [18F]-DOPA PET and structural MRI imaging.ResultsDopamine synthesis capacity was significantly reduced in the perinatal brain injury group relative to both the group born very preterm without brain injury (Cohen’s d=1.36, p=0.02) and the control group (Cohen’sd=1.07, p=0.01). Hippocampal volume was reduced in the perinatal brain injury group relative to controls (Cohen’sd= 1.17, p = 0.01). There was a significant correlation between hippocampal volume and striatal dopamine synthesis capacity (r = 0.344, p= 0.03).ConclusionsPerinatal brain injury, but not very preterm birth without macroscopic brain injury, is associated with persistent alterations in dopaminergic function and reductions in hippocampal volume. This is the first evidence in humans linking neonatal hippocampal injury to adult dopamine dysfunction, and has implications for understanding the mechanism underlying cognitive impairments and neuropsychiatric disorders following very preterm birth.
Improved DOP-PCR (iDOP-PCR): a robust and simple WGA method for efficient amplification of low copy number genomic DNA
Authors: Blagodatskikh Konstantin A. , Kramarov Vladimir M. , Barsova Ekaterina V. , Garkovenko Alexey V. , Shcherbo Dmitriy S. , Shelenkov Andrew A. , Ustinova Vera V. , Tokarenko Maria R. , Baker Simon C. , Kramarova Tatiana V. , Ignatov Konstantin B. 
Published: April 2017

AbstractWhole-genome amplification (WGA) techniques are used for non-specific amplification of low-copy number DNA, and especially for single-cell genome and transcriptome amplification. There are a number of WGA methods that have been developed over the years. One example is degenerate oligonucleotide-primed PCR (DOP-PCR), which is a very simple, fast and inexpensive WGA technique. Although DOP-PCR has been regarded as one of the pioneering methods for WGA, it only provides low genome coverage and a high allele dropout rate when compared to more modern techniques. Here we describe an improved DOP-PCR (iDOP-PCR). We have modified the classic DOP-PCR by using a new thermostable DNA polymerase (SD polymerase) with a strong strand-displacement activity and by adjustments in primers design. We compared iDOP-PCR, classic DOP-PCR and the well-established PicoPlex technique for whole genome amplification of both high- and low-copy number human genomic DNA. The amplified DNA libraries were evaluated by analysis of short tandem repeat genotypes and NGS data. In summary, iDOP-PCR provided a better quality of the amplified DNA libraries compared to the other WGA methods tested, especially when low amounts of genomic DNA were used as an input material.
An Integrated Mechanistic Model of Pan-Cancer Driver Pathways Predicts Stochastic Proliferation and Death
Authors: Bouhaddou Mehdi , Barrette Anne Marie , Koch Rick J. , DiStefano Matthew S. , Riesel Eric A. , Stern Alan D. , Santos Luis C. , Tan Annie , Mertz Alex , Birtwistle Marc R. 
Published: April 2017

SUMMARYMost cancer cells harbor multiple drivers whose epistasis and interactions with expression context clouds drug sensitivity prediction. We constructed a mechanistic computational model that is context-tailored by omics data to capture regulation of stochastic proliferation and death by pan-cancer driver pathways. Simulations and experiments explore how the coordinated dynamics of RAF/MEK/ERK and PI-3K/AKT kinase activities in response to synergistic mitogen or drug combinations control cell fate in a specific cellular context. In this context, synergistic ERK and AKT inhibitor-induced death is likely mediated by BIM rather than BAD. AKT dynamics explain S-phase entry synergy between EGF and insulin, but stochastic ERK dynamics seem to drive cell-to-cell proliferation variability, which in simulations are predictable from pre-stimulus fluctuations in C-Raf/B-Raf levels. Simulations predict MEK alteration negligibly influences transformation, consistent with clinical data. Our model mechanistically interprets context-specific landscapes between driver pathways and cell fates, moving towards more rational cancer combination therapy.
Phosphatase-Regulated Recruitment of the Spindle and Kinetochore Associated (SKA) Complex to Kinetochores
Authors: Sivakumar Sushama , Gorbsky Gary J. 
Published: April 2017

ABSTRACTKinetochores move chromosomes on dynamic spindle microtubules and regulate cell cycle progression by signaling the spindle checkpoint. The Spindle and Kinetochore-Associated (Ska) Complex, a hexamer composed of two copies of Ska1, Ska2 and Ska3, participates in both roles. The mitotic kinases, Cdk1, Aurora B, Plk1, Mps1 and Bub1 play key, overlapping tasks in regulating chromosome movement and checkpoint signaling. However, roles for the phosphatases that oppose these kinases are more poorly defined. Recently, we showed that Ska1 is important for recruiting protein phosphatase 1 (PP1) to kinetochores. Here we show that PP1 and protein phosphatase 2A (PP2A) both promote accumulation of Ska at kinetochores. Depletion of PP1 or PP2A by siRNA reduces Ska binding at kinetochores, impairs alignment of chromosomes to the spindle midplane, and causes metaphase delay or arrest, phenotypes also seen after depletion of Ska. Tethering of PP1 to the kinetochore protein Nuf2 promotes Ska recruitment to kinetochores, and reduces mitotic defects seen after Ska depletion. We propose that kinetochore-associated phosphatases generate a positive feedback cycle to reinforce Ska complex accumulation and function at kinetochores.SUMMARY STATEMENTPhosphatases reinforce recruitment of the Ska complex at kinetochores to stabilize microtubule attachment and oppose spindle checkpoint signaling.
High sensitivity quantitative proteomics using accumulated ion monitoring and automated multidimensional nano-flow chromatography
Authors: Cifani Paolo , Kentsis Alex 
Published: April 2017

SUMMARYQuantitative proteomics using high-resolution and accuracy mass spectrometry promises to transform our understanding of biological systems and disease. Recent development of parallel reaction monitoring (PRM) using hybrid instruments substantially improved the specificity of targeted mass spectrometry. Combined with high-efficiency ion trapping, this approach also provided significant improvements in sensitivity. Here, we investigated the effects of ion isolation and accumulation on the sensitivity and quantitative accuracy of targeted proteomics using the recently developed hybrid quadrupole-Orbitrap-linear ion trap mass spectrometer. We leveraged ultra-high efficiency nano-electrospray ionization under optimized conditions to achieve yoctomolar sensitivity with more than seven orders of linear quantitative accuracy. To enable sensitive and specific targeted mass spectrometry, we implemented an automated, scalable two-dimensional (2D) ion exchange-reversed phase nano-scale chromatography system. We found that 2D chromatography improved the sensitivity and accuracy of both PRM and an intact precursor scanning mass spectrometry method, termed accumulated ion monitoring (AIM), by more than 100-fold. Combined with automated 2D nano-scale chromatography, AIM achieved sub-attomolar limits of detection of endogenous proteins in complex biological proteomes. This allowed quantitation of absolute abundance of the human transcription factor MEF2C at approximately 100 molecules/cell, and determination of its phosphorylation stoichiometry from as little as 1 μg of extracts isolated from 10,000 human cells. The combination of automated multidimensional nano-scale chromatography and targeted mass spectrometry should enable ultra-sensitive high-accuracy quantitative proteomics of complex biological systems and diseases.
Understanding hallmark event failure: a case study of a Swedish music festival
Authors: Nordvall Anders , Heldt Tobias 
Published: April 2017

Purpose
Hallmark events can be very beneficial for host communities, not least due to their potential in attracting tourists. The Peace & Love music festival was the hallmark event of the Swedish city Borlänge. In 2013, the event organization declared bankruptcy and canceled the forthcoming festival. The purpose of this paper is to identify and discuss the factors that caused the failure of the 2013 Peace & Love festival.

Design/methodology/approach
The case of the Peace & Love festival is analyzed using three data sources: interviews with the former members of the event organization; secondary data describing the Swedish festival industry; and festival visitors’ perspectives represented by comments on social media. An organizational ecology perspective frames the analysis.

Findings
The results of the study reveal that the failure of the event can be understood by a combination of three components: an organization in a vulnerable position, a strong new competitor entering the Swedish festival market, and uncertain visitors searching for the new place to be.

Originality/value
Very few studies have researched event failure, although the subject is a recommended priority within the field of festival studies. This study presents a thorough examination of a hallmark event failure, which contributes to this area of knowledge and provides relevant information for organizations and host cities.
Application of lean to the bidding phase in building construction: a French contractor’s experience
Authors: Dakhli Zakaria , Lafhaj Zoubeir , Bernard Marc 
Published: April 2017

PurposeWhile many procurement systems govern the construction sector, Design/Bid/Build is still prominent among the French building actors. The research applies Lean thinking (via a kaizen event) to the bidding phase of a building construction company to improve its bidding outputs.Design/methodology/approachThe method used in this study is “Action-Research”. A two-month preparation phase was needed to prepare for the kaizen event. The results were based on an assessment conducted after 6 months of the kaizen event. Performance was measured following selected indicators related to ‘Time’, “Economical Impact”, “Quality” and “Sustainability”.FindingsThe Lean implementation had positive side-effects on the company’s organization and strategy as well.Practical implicationsThe findings of this action-research project can be used to help researchers and practitioners assess the potential application of Lean in the bidding phase. It also provides insights into the importance of the cultural and existing practices for a successful Lean implementation.Originality/valueA few research projects investigated the application of Lean thinking in bidding as it is considered as a wasteful process. However, waste can also be organized. The research proves that bidding can benefit from Lean thinking.
Bottom-up placemaking in a time of crisis, by the people, for the people
Authors: Christou Alexandros 
Published: April 2017

Purpose
The paper aims to present the case study of Arillas, a small beach resort on Corfu, Greece, where the locals have taken their fate into their own hands in the middle of a crisis. It presents the historical background of the development of tourism in Arillas, the actions that have been undertaken by the local stakeholders to actively participate in the management of the village and to attract alternative, responsible and sustainable forms of tourism to Arillas, and the main players contributing to this process, as well as a look at three important themes contributing to the change.

Design/methodology/approach
The paper is based on an empirical study spanning many years by a local inhabitant who has an affinity with place management and marketing. It also includes some conclusions of a quantitative, questionnaire-based customer satisfaction survey carried out in 2011 and 2012 among 600 visitors. The analysis of the quantitative data was carried out by the Head of the Corfu Department of the National Tourism Organisation of Greece.

Findings
The paper demonstrates how a shared vision, combined with empowerment and communication among local stakeholders on improving the place, as well as many joint actions carried out on a volunteer basis have, first of all, dramatically increased the level of engagement of the locals in the present and future of Arillas, and second they have attracted and are attracting more individual travellers who are coming for the hospitality, local food and products, music and cultural festivals, walking, yoga and meditation rather than the outdated mass tourism model.

Research limitations/implications
It would be very interesting to perform another quantitative, questionnaire-based survey now to compare the results to those of 2012.

Originality/value
This paper demonstrates that a bottom-up, horizontal approach to placemaking and place marketing can yield substantial results even (or especially) in an adverse economical and social environment.
Is exercise helpful for women aged 50 and over with mental health problems and what are the barriers to exercise?
Authors: Tinker Anthea , Haines Elodie , Molloy Laura , Monks Imogen , Russell Evelina , Pennells Laura 
Published: April 2017

Purpose
The purpose of this paper is to examine the influence of exercise on the mental health problems of older women.

Design/methodology/approach
The paper is based on information from academic literature, government publications and publications from other relevant bodies. It is a scoping study and is not a systematic review because of the constraints of the resources.

Findings
There is growing evidence about the value of exercise for the mental health of older women but few evaluated examples of how this can be achieved.

Research limitations/implications
There is a gap in the literature about this topic with few evaluated examples of how more older women can be encouraged to take more exercise.

Practical implications
Policy makers, practitioners and older people themselves would gain from a greater emphasis on exercise as a means of improving quality of life and for reducing healthcare budgets through fewer referrals to services.

Social implications
Greater emphasis on exercise for older women would increase their quality of life through a reduction in mental health problems.

Originality/value
There is limited research which links mental health, exercise and older women, especially regarding the barriers to exercise that older women with diagnosed mental health problems may face.
Improved VaR forecasts using extreme value theory with the Realized GARCH model
Authors: Paul Samit , Sharma Prateek 
Published: April 2017

Purpose
This study aims to forecast daily value-at-risk (VaR) for international stock indices by using the conditional extreme value theory (EVT) with the Realized GARCH (RGARCH) model. The predictive ability of this Realized GARCH-EVT (RG-EVT) model is compared with those of the standalone GARCH models and the conditional EVT specifications with standard GARCH models.

Design/methodology/approach
The authors use daily data on returns and realized volatilities for 13 international stock indices for the period from 1 January 2003 to 8 October 2014. One-step-ahead VaR forecasts are generated using six forecasting models: GARCH, EGARCH, RGARCH, GARCH-EVT, EGARCH-EVT and RG-EVT. The EVT models are implemented using the two-stage conditional EVT framework of McNeil and Frey (2000). The forecasting performance is evaluated using multiple statistical tests to ensure the robustness of the results.

Findings
The authors find that regardless of the choice of the GARCH model, the two-stage conditional EVT approach provides significantly better out-of-sample performance than the standalone GARCH model. The standalone RGARCH model does not perform better than the GARCH and EGARCH models. However, using the RGARCH model in the first stage of the conditional EVT approach leads to a significant improvement in the VaR forecasting performance. Overall, among the six forecasting models, the RG-EVT model provides the best forecasts of daily VaR.

Originality/value
To the best of the authors’ knowledge, this is the earliest implementation of the RGARCH model within the conditional EVT framework. Additionally, the authors use a data set with a reasonably long sample period (around 11 years) in the context of high-frequency data-based forecasting studies. More significantly, the data set has a cross-sectional dimension that is rarely considered in the existing VaR forecasting literature. Therefore, the findings are likely to be widely applicable and are robust to the data snooping bias.
Improving the sensitive property of graphene-based gas sensor by illumination and heating
Authors: Li Hui , Gao Zhihui , Lin Weihao , He Wei , Li Jinyan , Yang Yong 
Published: April 2017

Purpose
Graphene is a two-dimensional material. Its use has many advantages in gas sensing, but its long desorption process is problematic. The aim of this paper is to design a graphene-based gas sensor, study the response to NO2 gas concentrations and find ways to accelerate the desorption process.

Design/methodology/approach
In one group, the sensor was placed in air to measure its initial resistance. Then, it was exposed to the NO2 gas at a certain concentration. Finally, the sensor was exposed to light immediately after NO2 gas exposure was ended. In another group, the sensor was heated using a heating plate at a stable temperature, before taking the measurements. Then the adsorption and desorption experiments were carried on.

Findings
Illumination and heating at a suitable temperature can expedite desorption of NO2 molecules on graphene.

Originality/value
In the paper, two main methods are introduced to accelerate the desorption process when the NO2 gas is absorbed on graphene. Through a series of experiments and analysis, the authors found that the recovery time could be reduced observably and the recovery performance of the graphene-based NO2 sensor could be improved effectively.
Emerging applications driving innovations in gas sensing
Authors: Bogue Robert 
Published: April 2017

Purpose
This paper aims to show how a range of new and emerging applications are driving technological innovations in gas sensing.

Design/methodology/approach
Following a short introduction, this paper first considers developments relating to the needs of the military and security sectors. Wearable gas sensors, energy harvesting and self-powered gas sensors are then discussed. The role of gas sensors in mobile phones is then considered, together with details of new developments in sensors for carbon-dioxide, particulates and formaldehyde. Finally, brief conclusions are drawn.

Findings
This paper shows that a technologically diverse range of gas sensors is being investigated and developed in response to a number of new and emerging requirements and applications. The gas sensors respond to numerous inorganic and organic gases and vapours over a wide range of application-specific concentrations and are based on a multitude of often innovative sensing techniques, technologies and materials.

Originality/value
This paper provides technical details of a selection of gas sensor research activities and product developments that reflect the needs of a range of new and emerging applications.