bluuebunny/crossref_metadata_2025_split huggingface dataset:
iPSC-derived neurons as a tool for probing molecular pharmacology of antipsychotic action
Authors: Kim Esther S. , David Leonardo E. , Dranovsky Alex 
Published: April 2018

ABSTRACTBackgroundInduced pluripotent stem cell derived neurons (iPSC-Neurons) provide a potential way to investigate molecular mechanisms of psychotropic drug action in human neurons. Until now such studies have relied on animal models or artificial expression systems in transfected cells.MethodsInduced pluripotent stem cells were subjected to a dual SMAD inhibition differentiation protocol. Resulting neurons were examined using qPCR, immunocytochemistry, viral transduction, and calcium imaging.ResultsHere we report the presence of target receptors for antipsychotic drugs in human iPSC-neurons. A cortical neuronal differentiation protocol resulted in cells that expressed D2, 5HT2A, and other target receptors. Moreover, stimulation with glutamate, dopamine, or the 5HT2A agonist DOI evoked calcium transients. We analyzed single cell responses, and found cells with signature response profiles to these ligands. In addition, pre-incubation of iPSC-neurons with clozapine altered the proportion of cells that responded to glutamate or DOI in a subpopulation of neurons.ConclusionsOur results support the use of iPSC-neuron single cell pharmacology for studying how psychotropic medications modulate neuronal responses. Because these cells can be derived directly from patients, results derived from using iPSC-neurons have immediate relevance for personalized medicine.Significance StatementThe current study examines the feasibility of using induced pluripotent stem cells from patients to generate neurons and study psychopharmacology. This article is broadly intended to inform the readership on the key points of iPSC-derived neurons as a system and how it can be used to understand antipsychotic pharmacology for potential clinical application. The specific advances include 1) demonstrating the presence of receptors targeted by antipsychotics on iPSC-derived neurons; 2) Using single cell analysis to identify human neurons with distinct responses to receptor modulation; and 3) Demonstrating that clozapine modulates glutamatergic and serotonergic responses in distinct human neuronal populations.
msCRUSH: fast tandem mass spectra clustering using locality sensitive hashing
Authors: Wang Lei , Li Sujun , Tang Haixu 
Published: April 2018

AbstractLarge-scale proteomics projects often generate massive and highly redundant tandem mass (MS/MS) spectra. Spectra clustering algorithms can reduce the redundancy in these datasets, and thus speed up the database searching for peptide identification, a major bottleneck for proteomic data analysis. Furthermore, the consensus spectra derived from highly similar MS/MS spectra in the same cluster may enhance the signal peaks while reduce the noise peaks, and thus will improve the sensitivity of peptide identification. In this paper, we present the software msCRUSH, which implemented a novel spectra clustering algorithm based on the locality sensitive hashing (LSH) technique. When tested on a large-scale proteomic dataset consisting of 18.4 million spectra (including 11.5 million spectra of charge 2+), msCRUSH runs 7.6-12.1x faster than the state-of-the-art spectra clustering software, PRIDE Cluster, while achieves higher clustering sensitivity and comparable accuracy. Using the consensus spectra reported by msCRUSH, commonly used spectra search engines MSGF+ and Mascot can identify 5% and 4% more unique peptides, respectively, comparing to the identification results from the raw MS/MS spectra at the same false discovery rate (1% FDR) of peptides. msCRUSH is implemented in C++, and is released as open source software.
Impacts of supply chain uncertainty and risk on the logistics performance
Authors: Wang Michael 
Published: April 2018

Purpose
The purpose of this paper is to present an empirical evidence of the impacts of supply chain uncertainty and risk on the logistics performance in the Australian courier industry. This study examines the impacts of supply chain and risk on the logistics performance in the Australian courier industry.

Design/methodology/approach
This study provides an in-depth analysis of supply chain uncertainty and risk’s impacts on the logistics performance. The structure equation modelling approach is applied to examine the relationship between supply chain uncertainty and risk and logistics performance. Company-side uncertainty and risk, customer-side uncertainty and risk, and environment uncertainty and risk are used to measure the impacts of supply chain uncertainty and risk on the industry. This paper gives attention to the supply chain uncertainty and risk in the industry.

Findings
The results indicate that supply chain uncertainty and risk have negative impacts on logistics performance. Moreover, the greatest impact of supply chain uncertainty and risk was from outside company in the Australian courier industry.

Research limitations/implications
The study focuses on the Australian courier industry, this may limit the implications of findings in different industries. However, the research models may be examined and validated in the different context.

Practical implications
The results may provide directions in the implementation of strategies to manage supply chain uncertainty and risk and improve logistics performance. The findings may enlighten both academics and practitioners to understand and pay attention to the supply chain uncertainty and risk in the courier industry.

Originality/value
There is an argument whether the impacts of supply chain uncertainty and risk are positive or negative in previous studies. In addition, there are very few studies on courier industry. This study clarifies the impacts of supply chain uncertainty and risk on the logistics performance in the courier industry.
Direct and indirect effect of brand experience on true brand loyalty: role of involvement
Authors: Mathew Veeva , Thomas Sam 
Published: April 2018

PurposeThe purpose of this paper is to investigate the role of product and customer dimensions in the contribution of brand experience to the formation of true brand loyalty. The dimensions included are brand credibility, affective commitment and involvement. Synthesising past studies, the researcher proposes brand credibility and affective commitment to mediate the relationship between brand experience and true brand loyalty. Furthermore, the researcher investigates the variation in hierarchical pattern, i.e. brand experience-brand credibility affective commitment-true brand loyalty, under different levels of involvement.Design/methodology/approachThe variations in hierarchy were compared by design. The authors investigated the variations in hierarchy on the basis of products which belong to different level of involvement, on the basis of individual differences in involvement, and on the basis of the interaction of product involvement and subject involvement. Multi-group invariance tests in SEM were used to explore model variations.FindingsThe hierarchy-of-effect model was found to vary based on the level of product involvement, subject involvement and interaction involvement. Three patterns of hierarchy have been observed: the first pattern was observed in high-high groups (both product involvement and subject involvement were high), the second pattern was observed in low-low groups (both product and subject involvements were low) and the third pattern among high-low or low-high groups.Practical implicationsThe variation observed highlights the need to segment the market by interaction involvement. This would be useful for managers engaged in building sustainable consumer-brand relationships.Originality/valueThis study considered the interaction of product approach and subject approach in defining involvement which is rarely attempted in research. The study also integrates the variations in the role of customer dimensions, namely involvement, brand credibility and affective commitment with the relationship between the central constructs brand experience and true brand loyalty. The variations observed are among a socio-economically homogeneous sample of respondents.
An identification of warehouse location in Thailand
Authors: Vanichchinchai Assadej , Apirakkhit Songwut 
Published: April 2018

Purpose
The purpose of this research is to identify a province in Thailand where total transportation cost for shipping grocery goods from this province to customers in all other provinces is the lowest.

Design/methodology/approach
Transportation distances among provinces, freight rate and the number of population in each province were gathered. Total transportation cost was computed by taking distance, tapering freight rate and population including that in original province into account.

Findings
Based on pre-set assumptions, it reveals that Saraburi province has the lowest total transportation cost.

Research limitations/implications
This research emphasizes only transportation cost. For future research, other monetary and non-monetary factors such as land, labor, investment incentive, local government regulation should be considered together.

Practical implications
This is an industry-based research especially for retail and fast-moving consumer goods businesses.

Originality/value
This practitioner paper is one of the first to identify population, freight rate and distance-based warehouse location which can be determined as a location for Thailand’s logistics hub, particularly for retail or fast-moving consumer goods business in Thailand.
Wall-modeled large-eddy simulation of the flow past a rod-airfoil tandem by the Lattice Boltzmann method
Authors: Leveque Emmanuel , Touil Hatem , Malik Satish , Ricot Denis , Sengissen Alois 
Published: April 2018

Purpose
The Lattice Boltzmann (LB) method offers an alternative to conventional computational fluid dynamics (CFD) methods. However, its practical use for complex turbulent flows of engineering interest is still at an early stage. This paper aims to outline an LB wall-modeled large-eddy simulation (WMLES) solver.

Design/methodology/approach
The solver is dedicated to complex high-Reynolds flows in the context of WMLES. It relies on an improved LB scheme and can handle complex geometries on multi-resolution block structured grids.

Findings
Dynamic and acoustic characteristics of a turbulent airflow past a rod-airfoil tandem are examined to test the capabilities of this solver. Detailed direct comparisons are made with both experimental and numerical reference data.

Originality/value
This study allows assessing the potential of an LB approach for industrial CFD applications.
Wake flow analysis and control on a 47° slant angle Ahmed body
Authors: Edwige Stephie , Eulalie Yoann , Gilotte Philippe , Mortazavi Iraj 
Published: April 2018

Purpose
The purpose of this paper is to present numerical investigations of the flow dynamic characteristics of a 47° Ahmed Body to identify wake flow control strategy leading to drag coefficient reduction, which could be tested later on sport utility vehicles.

Design/methodology/approach
This study begins with a mean flow topology description owing to dynamic and spectral analysis of the aerodynamic tensor. Then, the sparse promoting dynamic modal decomposition method is discussed and compared to other modal approaches. This method is then applied on the wall and wake pressure to determine frequencies of the highest energy pressure modes and their transfers to other frequency modes. This analysis is then used to design appropriated feedback flow control strategies.

Findings
This dynamic modal decomposition highlights a reduced number of modes at low frequency which drive the flow dynamics. The authors especially notice that the pressure mode at a Strouhal number of 0.22, based on the width between feet, induces aerodynamic losses close to the rear end. Strategy of the proposed control loop enables to dampen the energy of this mode, but it has been transferred to lower frequency mode outside of the selected region of interest.

Originality/value
This analysis and methodology of feedback control shows potential drag reduction with appropriated modal energy transfer management.
Morphing airfoils analysis using dynamic meshing
Authors: Abdessemed Chawki , Yao Yufeng , Bouferrouk Abdessalem , Narayan Pritesh 
Published: April 2018

Purpose
The purpose of this paper is to use dynamic meshing to perform CFD analyses of a NACA 0012 airfoil fitted with a morphing trailing edge (TE) flap when it undergoes static and time-dependent morphing. The steady CFD predictions of the original and morphing airfoils are validated against published data. The study also investigates an airfoil with a hinged TE flap for aerodynamic performance comparison. The study further extends to an unsteady CFD analysis of a dynamically morphing TE flap for proof-of-concept and also to realise its potential for future applications.

Design/methodology/approach
An existing parametrization method was modified and implemented in a user-defined function (UDF) to perform dynamic meshing which is essential for morphing airfoil unsteady simulations. The results from the deformed mesh were verified to ensure the validity of the adopted mesh deformation method. ANSYS Fluent software was used to perform steady and unsteady analysis and the results were compared with computational predictions.

Findings
Steady computational results are in good agreement with those from OpenFOAM for a non-morphing airfoil and for a morphed airfoil with a maximum TE deflection equal to 5 per cent of the chord. The results obtained by ANSYS Fluent show that an average of 6.5 per cent increase in lift-to-drag ratio is achieved, compared with a hinged flap airfoil with the same TE deflection. By using dynamic meshing, unsteady transient simulations reveal that the local flow field is influenced by the morphing motion.

Originality/value
An airfoil parametrisation method was modified to introduce time-dependent morphing and used to drive dynamic meshing through an in-house-developed UDF. The morphed airfoil’s superior aerodynamic performance was demonstrated in comparison with traditional hinged TE flap. A methodology was developed to perform unsteady transient analysis of a morphing airfoil at high angles of attack beyond stall and to compare with published data. Unsteady predictions have shown signs of rich flow features, paving the way for further research into the effects of a dynamic flap on the flow physics.
Comparison of thermodynamic models for ice accretion on airfoils
Authors: Lavoie Pierre , Pena Dorian , Hoarau Yannick , Laurendeau Eric 
Published: April 2018

Purpose
This paper aims to assess the strengths and weaknesses of four thermodynamic models used in aircraft icing simulations to orient the development or the choice of an improved thermodynamic model.

Design/methodology/approach
Four models are compared to assess their capabilities: Messinger, iterative Messinger, extended Messinger and shallow water icing models. They have been implemented in the aero-icing framework, NSCODE-ICE, under development at Polytechnique Montreal since 2012. Comparison is performed over typical rime and glaze ice cases. Furthermore, a manufactured geometry with multiple recirculation zones is proposed as a benchmark test to assess the efficiency in runback water modeling and geometry evolution.

Findings
The comparison shows that one of the main differences is the runback water modeling. Runback modeling based on the location of the stagnation point fails to capture the water film behavior in the presence of recirculation zones on airfoils. However, runback modeling based on air shear stress is more suitable in this situation and can also handle water accumulation while the other models cannot. Also, accounting for the conduction through the ice layer is found to have a great impact on the final ice shape as it increases the overall freezing fraction.

Originality/value
This paper helps visualize the effect of different thermodynamic models implemented in the same aero-icing framework. Also, the use of a complex manufactured geometry highlights weaknesses not normally noticeable with classic ice accretion simulations. To help with the visualization, the ice shape is presented with the water layer, which is not shown on typical icing results.
Perceptions of organizational culture and value conflicts in information security management
Authors: Karlsson Martin , Denk Thomas , Åström Joachim 
Published: April 2018

Purpose
The purpose of this paper is to investigate the occurrence of value conflicts between information security and other organizational values among white-collar workers. Further, analyzes are conducted of the relationship between white-collar workers’ perceptions of the culture of their organizations and value conflicts involving information security.

Design/methodology/approach
Descriptive analyses and regression analyses were conducted on survey data gathered among two samples of white-collar workers in Sweden.

Findings
Value conflicts regarding information security occur regularly among white-collar workers in the private and public sectors and within different business sectors. Variations in their occurrence can be understood partly as a function of employees’ work situations and the sensitivity of the information handled in the organization. Regarding how perceived organizational culture affects the occurrence of value conflicts, multivariate regression analysis reveals that employees who perceive their organizations as having externally oriented, flexible cultures experience value conflicts more often.

Research limitations/implications
The relatively low share of explained variance in the explanatory models indicates the need to identify alternative explanations of the occurrence of value conflicts regarding information security.

Practical implications
Information security managers need to recognize that value conflicts occur regularly among white-collar workers in different business sectors, more often among workers in organizations that handle sensitive information, and most often among white-collar workers who perceive the cultures of their organizations as being externally oriented and flexible.

Originality/value
The study addresses a gap in the information security literature by contributing to the understanding of value conflicts between information security and other organizational values. This study has mapped the occurrence of value conflicts regarding information security among white-collar professionals and shows that the occurrence of value conflicts is associated with work situation, information sensitivity and perceived organizational culture.
Escalation of commitment as an antecedent to noncompliance with information security policy
Authors: Kajtazi Miranda , Cavusoglu Hasan , Benbasat Izak , Haftor Darek 
Published: April 2018

PurposeThis study aims to identify antecedents to noncompliance behavior influenced by decision contexts where investments in time, effort and resources are devoted to a task – referred to as a task unlikely to be completed without violating the organization’s information security policy (ISP).Design/methodology/approachAn empirical test of the suggested relationships in the proposed model was conducted through a field study using the survey method for data collection. Pre-tests, pre-study, main study and a follow-up study compose the frame of our methodology where more than 500 respondents are involved across different organizations.FindingsThe results confirm that the antecedents that explain the escalation of commitment behavior in terms of the effect of lost assets, such as time, effort and other resources, give us a new lens to understand noncompliance behavior; employees seem to escalate their commitments to the completion of their tasks at the expense of becoming noncompliant with ISP.Research limitations/implicationsOne of the key areas that requires further attention from this study is to better understand the role of risk perceptions on employee behavior when dealing with value conflicts. Depending on how risk-averse or risk seeking an employee is, the model showed no significant support in either case to influence their noncompliance behavior. The authors therefore argue that employees' noncompliance may be influenced by more powerful beliefs, such as self-justification and sunk costs.Practical implicationsThe results show that when employees are caught in tasks undergoing difficulties, they are more likely to increase noncompliance behavior. By understanding better how project obstacles result in such tasks, security managers can define new mechanisms to counter employees’ shift from compliance to noncompliance.Social implicationsApart from encouraging compliance with enforcement mechanisms (using direct behavioral controls like sanctions or rewards), indirect behavior controls may also encourage compliance. The authors suggest that the ISPs should state that the organization would take positive actions toward task completion and help their employees to resolve their problems quickly.Originality/valueThis study is the first to tackle escalation of commitment theories and use antecedents that explain the effect of lost assets, such as time, effort and other resources can also explain noncompliance with ISP in terms of the value conflicts, where employees would often choose to forego compliance at the expense of finishing their tasks.
Psychometric evaluation of disaster impact
Authors: Noynaert Jared Michael , Potangaroa Regan 
Published: April 2018

Purpose
This paper aims to examine accurate cross-sector assessment of true relative need in affected populations and the net human impact of disaster response programmes.

Design/methodology/approach
A psychometric assessment method using the DASS-42 is presented, and its practicality and value are shown through field studies in Afghanistan and Vanuatu.

Findings
Psychometric quality of life assessments are robust, rapidly deployable, culturally and sector-agnostic, and imminently useful for targeting disaster aid and measuring programme effectiveness.

Research limitations/implications
This research provides a baseline for further investigation into identifying which aid interventions are necessary without using technical assessments.

Practical implications
The demonstrated method is more effective in many situations than traditional technical assessments or assumption of which demographic factors place groups at risk.

Originality/value
The identified approach builds on previous work by combining psychometric indications of disaster effect with specific areas of need self-identified by the assessed communities. Its effectiveness for enabling humanitarian action at both large and small scales is also proven.