bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mutual Support and Challenges Among Chinese Couples Living With Colorectal Cancer
Authors: Li Qiuping , Lin Yi , Chen Ying , Loke Alice Yuen 
Published: December 2017

Background
A diagnosis of cancer and its treatment affect couples as a unit, and they must cope and give each other mutual support as dyads. Few studies have focused explicitly on understanding mutual support among couples coping with colorectal cancer (CRC).

Objective
The aim of this study was to explore the mutual support of couples in their journey of coping together with CRC.

Methods
This is a qualitative descriptive study with purposeful sampling. A total of 11 couples in which 1 partner has been diagnosed with CRC were recruited for in-depth interviews.

Results
Three themes and 8 subthemes emerged from a conventional content analysis. The 3 themes were mutual support and reciprocity, challenges confronted in the provision of support, and experiencing adjustments/outcomes.

Conclusion
The findings of this study provide insights to healthcare professionals on the process by which couples coping with CRC give each other mutual support and the related challenges. This will aid in the development of an intervention program to support such couples, through enhancing their mutual support, overcoming challenges, and improving their adjustment/outcomes.

Implications for Practice
Healthcare professionals need to (1) include the spouse of the cancer patients in their care and provide them with support, (2) encourage the couples to share their concerns with each other, (3) encourage spousal caregivers to take good care of themselves while providing support to their loved ones with CRC, and (4) develop a couple-based intervention program in providing support to couples coping with cancer as dyads.
Ecological, angler and spatial heterogeneity drive social and ecological outcomes in an integrated landscape model of freshwater recreational fisheries
Authors: Matsumura S. , Beardmore B. , Haider W. , Dieckmann U. , Arlinghaus R. 
Published: December 2017

AbstractFreshwater recreational fisheries constitute complex adaptive social-ecological systems (SES) where mobile anglers link spatially structured ecosystems. We present a general social-ecological model of a spatial recreational fishery for northern pike (Esox lucius) that included an empirically measured mechanistic utility model driving angler behaviors. We studied emergent properties at the macro-scale (e.g., region) as a result of local-scale fish-angler interactions, while systematically examining key heterogeneities (at the angler and ecosystem level) and sources of uncertainty. We offer three key insights. First, the angler population size and the resulting latent reginal angling effort exerts a much greater impact on the overall regional-level overfishing outcome than any residential pattern (urban or rural), while the residential patterns strongly affects the location of local overfishing pockets. Second, simplifying a heterogeneous angler population to a homogenous one representing the preference and behaviours of an average angler risks severely underestimating landscape-level effort and regional overfishing. Third, we did not find that ecologically more productive lakes were more systematically overexploited than lower-productive lakes. We conclude that understanding regional-level outcomes depends on considering four key ingredients: regional angler population size, the angler population composition, the specific residential pattern in place and spatial ecological variation. Simplification of any of these may obscure important dynamics and render the system prone to collapse.
Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association Studies
Authors: Wang Haohan , Aragam Bryon , Xing Eric P. 
Published: December 2017

AbstractA fundamental and important challenge in modern datasets of ever increasing dimensionality is variable selection, which has taken on renewed interest recently due to the growth of biological and medical datasets with complex, non-i.i.d. structures. Naïvely applying classical variable selection methods such as the Lasso to such datasets may lead to a large number of false discoveries. Motivated by genome-wide association studies in genetics, we study the problem of variable selection for datasets arising from multiple subpopulations, when this underlying population structure is unknown to the researcher. We propose a unified framework for sparse variable selection that adaptively corrects for population structure via a low-rank linear mixed model. Most importantly, the proposed method does not require prior knowledge of sample structure in the data and adaptively selects a covariance structure of the correct complexity. Through extensive experiments, we illustrate the effectiveness of this framework over existing methods. Further, we test our method on three different genomic datasets from plants, mice, and human, and discuss the knowledge we discover with our method.
Fast Intensity Adaptation Enhances the Encoding of Sound inDrosophila
Authors: Clemens Jan , Ozeri-Engelhard Nofar , Murthy Mala 
Published: December 2017

AbstractTo faithfully encode complex stimuli, sensory neurons should correct, via adaptation, for stimulus properties that corrupt pattern recognition. Here, we investigate sound intensity adaptation in theDrosophilaauditory system, which is largely devoted to processing courtship song. Mechanosensory neurons (JONs) in the antenna are sensitive not only to sound-induced antennal vibrations, but also to wind or gravity, which affect the antenna’s mean position. Song pattern recognition therefore requires adaptation to antennal position (stimulus mean) in addition to sound intensity (stimulus variance). We discover fast variance adaptation inDrosophilaJONs, which corrects for background noise over the behaviorally relevant intensity range. We determine where mean and variance adaptation arises and how they interact. A computational model explains our results using a sequence of subtractive and divisive adaptation modules, interleaved by rectification. These results lay the foundation for identifying the molecular and biophysical implementation of adaptation to the statistics of natural sensory stimuli.
Static length changes of cochlear outer hair cells can tune low-frequency hearing
Authors: Ciganović Nikola , Warren Rebecca L. , Keçeli Batu , Jacob Stefan , Fridberger Anders , Reichenbach Tobias 
Published: December 2017

AbstractThe cochlea not only transduces sound-induced vibration into neural spikes, it also amplifies weak sound to boost its detection. Actuators of this active process are sensory outer hair cells in the organ of Corti, whereas the inner hair cells transduce the resulting motion into electric signals that propagate via the auditory nerve to the brain. However, how the outer hair cells modulate the stimulus to the inner hair cells remains unclear. Here, we combine theoretical modeling and experimental measurements near the cochlear apex to study the way in which length changes of the outer hair cells deform the organ of Corti. We develop a geometry-based kinematic model of the apical organ of Corti that reproduces salient, yet counter-intuitive features of the organ’s motion. Our analysis further uncovers a mechanism by which a static length change of the outer hair cells can sensitively tune the signal transmitted to the sensory inner hair cells. When the outer hair cells are in an elongated state, stimulation of inner hair cells is largely inhibited, whereas outer hair cell contraction leads to a substantial enhancement of sound-evoked motion near the hair bundles. This novel mechanism for regulating the sensitivity of the hearing organ applies to the low frequencies that are most important for the perception of speech and music. We suggest that the proposed mechanism might underlie frequency discrimination at low auditory frequencies, as well as our ability to selectively attend auditory signals in noisy surroundings.Author summaryOuter hair cells are highly specialized force producers inside the inner ear: they can change length when stimulated electrically. However, how exactly this electromotile effect contributes to the astonishing sensitivity and frequency selectivity of the inner ear has remained unclear. Here we show for the first time that static length changes of outer hair cells can sensitively regulate how much of a sound signal is passed on to the inner hair cells that forward the signal to the brain. Our analysis holds for the apical region of the inner ear that is responsible for detecting the low frequencies that matter most in speech and music. This shows a mechanisms for how frequency-selectivity can be achieved at low frequencies. It also opens a path for the efferent neural system to regulate hearing sensitivity.
Deciphering microbial interactions in synthetic human gut microbiome communities
Authors: Venturelli Ophelia S. , Carr Alex C. , Fisher Garth , Hsu Ryan H. , Lau Rebecca , Bowen Benjamin P. , Northen Trent , Arkin Adam P. 
Published: December 2017

ABSTRACTThe human gut microbiota comprises a dynamic ecological system that contributes significantly to human health and disease. The ecological forces that govern community assembly and stability in the gut microbiota remain unresolved. We developed a generalizable model-guided framework to predict higher-order consortia from time-resolved measurements of lower-order assemblages. This method was employed to decipher microbial interactions in a diverse 12-member human gut microbiome synthetic community. We show that microbial growth parameters and pairwise interactions are the major drivers of multi-species community dynamics, as opposed to context-dependent (conditional) interactions. The inferred microbial interaction network as well as a top-down approach to community assembly pinpointed both ecological driver and responsive species that were significantly modulated by microbial inter-relationships. Our model demonstrated that negative pairwise interactions could generate history-dependent responses of initial species proportions on physiological timescales that frequently does not originate from bistability. The model elucidated a topology for robust coexistence in pairwise assemblages consisting of a negative feedback loop that balances disparities in monospecies fitness levels. Bayesian statistical methods were used to evaluate the constraint of model parameters by the experimental data. Measurements of extracellular metabolites illuminated the metabolic capabilities of monospecies and potential molecular basis for competitive and cooperative interactions in the community. However, these data failed to predict influential organisms shaping community assembly. In sum, these methods defined the ecological roles of key species shaping community assembly and illuminated network design principles of microbial communities.
Towards simple kinetic models of functional dynamics for a kinase subfamily
Authors: Sultan Mohammad M. , Kiss Gert , Pande Vijay 
Published: December 2017

AbstractKinases are ubiquitous enzymes involved in the regulation of critical cellular pathways and have been implicated in several cancers. Consequently, the kinetics and thermodynamics of prototypical kinases are of interest and have been the subject of numerous experimental studies. In-silico modeling of the conformational ensembles of these enzymes, on the other hand, is lacking due to inherent computational limitations. Recent algorithmic advances combined with homology modeling and parallel simulations allow us to address this computational sampling bottleneck. Here, we present the results of molecular dynamics (MD) studies for seven Src family kinase (SFK) members Fyn, Lyn, Lck, Hck, Fgr, Yes, and Blk. We present a sequence invariant extension to Markov state models (MSMs), which allows us to quantitatively compare the structural ensembles of the seven kinases. Our findings indicate that in the absence of their regulatory partners, SFK members have similar in-silico dynamics with active state populations ranging from 4-40% and activation timescales in the hundreds of microseconds. Furthermore, we observe several potentially druggable intermediate states, including a pocket next to the ATP binding site that could be potentially targeted via a small molecule inhibitors. These results establish the utility of MSMs for studying protein families.
Brazil–Bolivia and a horse trade: a postcolonial case within South America
Authors: Wanderley Sergio , Celano Ana 
Published: December 2017

PurposeThe purpose of this paper is to investigate the impact of institutional changes in Bolivia (2005-2016) in the power structures within the headquarters (HQs) of a Brazilian energy multinational corporation (MNC) and its subsidiaries in Bolivia.Design/methodology/approachThis investigation is informed by a postcolonial South–South perspective. The Brazilian and Bolivian managers were interviewed and drawing techniques were used to unveil hidden power relationships. To achieve the multilayered objective, a Lukesian power framework was integrated into the analysis.FindingsTraces of a postcolonial relationship between Brazil and Bolivia were found, even though Brazil never colonized Bolivia. The power structure within this MNC’s HQ and subsidiaries reflects a postcolonial relationship: local staff members see the Brazilian MNC as the holder of power of resources, process and meaning. Finally, despite its colonizing role, Brazil is depicted as a savior, not an exploiter. Much to the authors’ surprise, the institutional changes in Bolivia – the nationalization of its oil and gas reserves and the declaration of a plurinational state – have not affected the power relationships within the Brazilian MNC.Originality/valueThe contribution to postcolonial investigations within the international business field was carried out in different ways: a review of EMNC literature was conducted in the study for a South–South postcolonial perspective; empirical data from a case within South America were added; a Lukesian power perspective was integrated into the analysis; and finally, drawing techniques were used to unveil hidden power relations.
Shooting for the moon: an analysis of digital initiatives librarian job advertisements
Authors: Skene Elizabeth 
Published: December 2017

Purpose
The purpose of this paper is to review the evolution of technology-oriented university librarian positions and analyze digital initiatives librarian job advertisements to determine the number and type of skills that academic libraries desire.

Design/methodology/approach
Forty-nine job postings between October 2010 and March 2016 were found via the Code4Lib listserv. Information on job title, desired skills and responsibilities and other information was compiled and analyzed.

Findings
Twenty-four skills and responsibilities were identified; the top four were metadata, digital preservation, digital collections and digitization. Other skills and responsibilities are frequently listed by ACRL as emerging trends.

Research limitations/implications
Digital initiatives librarian job postings have risen substantially in the past five years. A total of 24 skills and responsibilities were identified and skills related to the administration of digital collections are the top desired skills of digital initiatives librarians.

Originality/value
Job analysis literature has influenced the design of job descriptions for new roles and the literature offers a “picture of how academic librarianship is developing” (Cox and Corrall, 2013, p. 1528). Library administrators are encourage to design digital initiatives librarian positions strategically, basing the responsibilities on demonstrated needs on their campuses, rather than in response to trends in academic librarianship.
Engineering models for softening and relaxation of Gr. 91 steel in creep-fatigue conditions
Authors: Holmström Stefan , De Haan Frits , Führer Ulrich , Pohja Rami , Janousek Jaromir 
Published: December 2017

Purpose
There are a number of different approaches for calculating creep-fatigue (CF) damage for design, such as the French nuclear code RCC-MRx, the American ASME III NH and the British R5 assessment code. To acquire estimates for the CF damage, that are not overly conservative, both the cyclic material softening/hardening and the potential changes in relaxation behavior have to be considered. The data presented here and models are an initial glimpse of the ongoing European FP7 project MATISSE effort to model the softening and relaxation behavior of Grade 91 steel under CF loading. The resulting models are used for calculating the relaxed stress at arbitrary location in the material cyclic softening curve. The initial test results show that softening of the material is not always detrimental. The initial model development and the pre-assessment of the MATISSE data show that the relaxed stress can be robustly predicted with hold time, strain range and the cyclic life fraction as the main input parameters. The paper aims to discuss these issues.

Design/methodology/approach
Engineering models have been developed for predicting cyclic softening and relaxation for Gr. 91 steel at 550 and 600°C.

Findings
A simple engineering model can adequately predict the low cycle fatigue (LCF) and CF softening rates of Gr. 91 steel. Also a simple relaxation model was successfully defined for predicting relaxed stress of both virgin and cyclically softened material.

Research limitations/implications
The data are not yet complete and the models will be updated when the complete set of data in the MATISSE project is available.

Practical implications
The models described can be used for predicting P91 material softening in an arbitrary location (n/Nf0) of the LCF and CF cyclic life. Also the relaxed stress in the softened material can be estimated.

Originality/value
The models are simple in nature but are able to estimate both material softening and relaxation in arbitrary location of the softening curve. This is the first time the Wilshire methodology has been applied on cyclic relaxation data.
Technological unemployment as frictional unemployment
Authors: Fiorelli Federico 
Published: December 2017

Purpose
The purpose of this paper is to present some scenarios about a possible future evolution of the labour market in the knowledge economy.

Design/methodology/approach
The author used the literature to describe the historical evolution of the technology unemployment.

Findings
Digital technology does not directly generate unemployment, as the balance between jobs destroyed and created has historically always been positive. Indeed, technological unemployment in such a context can manifest itself in the form of frictional unemployment.

Originality/value
The study enriches the literature on the relationship between digital technologies and unemployment rate.
The pricing strategy for Fuji apple in Shaanxi of Chain under the e-commerce environment
Authors: Zhou Shujun , Sun Bingzhen , Ma Weimin , Chen Xiangtang 
Published: December 2017

Purpose
The purpose of this paper is to present a new method and model for determining the optimal decision-making for the pricing strategy to the Fuji apple in Shaanxi of Chain which is representing fresh agricultural products under the e-commerce environment.

Design/methodology/approach
Considering the rapid development of information technology as well as internet that actually motivate the e-commerce, Fuji apple is a distinctive product in China’s Shaanxi; its sales channels have extended to online sales under the wave of e-commerce. Internet trading platforms make it possible to trade online in real time between suppliers and customers who live in different geographical areas. In this paper, the authors study how to price online to maximize the total revenue. The challenge is to optimally price two different qualities of apple. Based on the consumer surplus theory, the authors use the method that builds the function of the relationship between the proportion of consumers purchasing different qualities of products and price.

Findings
This paper presents a generalized model to determine the optimal pricing that maximizes the total revenue of a fruit grower over a finite planning horizon. The authors divided discount into two intervals and discussed the optimal discounting and pricing at both intervals. Then they determined the optimal pricing strategy for Fuji apple in Shaanxi of Chain under the e-commerce environment.

Originality/value
This paper makes up for the lack of existing studies of pricing under the e-commerce environment. A new method and approach to the traditional pricing strategy is established and applied to a management decision-making problem with Chinese characteristics in reality.
Study on an airport gate assignment method based on improved ACO algorithm
Authors: Deng Wu , Sun Meng , Zhao Huimin , Li Bo , Wang Chunxiao 
Published: December 2017

Purpose
This study aims to propose a new airport gate assignment method to effectively improve the comprehensive operation capacity and efficiency of hub airport. Gate assignment is one of the most important tasks for airport ground operations, which assigns appropriate airport gates with high efficiency reasonable arrangement.

Design/methodology/approach
In this paper, on the basis of analyzing the characteristics of airport gates and flights, an efficient multi-objective optimization model of airport gate assignment based on the objectives of the most balanced idle time, the shortest walking distances of passengers and the least number of flights at apron is constructed. Then an improved ant colony optimization (ICQACO) algorithm based on the ant colony collaborative strategy and pheromone update strategy is designed to solve the constructed model to fast realize the gate assignment and obtain a rational and effective gate assignment result for all flights in the different period.

Findings
In the designed ICQACO algorithm, the ant colony collaborative strategy is used to avoid the rapid convergence to the local optimal solution, and the pheromone update strategy is used to quickly increase the pheromone amount, eliminate the interference of the poor path and greatly accelerate the convergence speed.

Practical implications
The actual flight data from Guangzhou Baiyun airport of China is selected to verify the feasibility and effectiveness of the constructed multi-objective optimization model and the designed ICQACO algorithm. The experimental results show that the designed ICQACO algorithm can increase the pheromone amount, accelerate the convergence speed and avoid to fall into the local optimal solution. The constructed multi-objective optimization model can effectively improve the comprehensive operation capacity and efficiency. This study is a very meaningful work for airport gate assignment.

Originality/value
An efficient multi-objective optimization model for hub airport gate assignment problem is proposed in this paper. An improved ant colony optimization algorithm based on ant colony collaborative strategy and the pheromone update strategy is deeply studied to speed up the convergence and avoid to fall into the local optimal solution.