bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using deep neural networks to detect complex spikes of cerebellar Purkinje Cells
Authors: Markanday Akshay , Bellet Joachim , Bellet Marie E. , Hafed Ziad M. , Thier Peter 
Published: April 2019

AbstractOne of the most powerful excitatory synapses in the entire brain is formed by cerebellar climbing fibers, originating from neurons in the inferior olive, that wrap around the proximal dendrites of cerebellar Purkinje cells. The activation of a single olivary neuron is capable of generating a large electrical event, called “complex spike”, at the level of the postsynaptic Purkinje cell, comprising of a fast initial spike of large amplitude followed by a slow polyphasic tail of small amplitude spikelets. Several ideas discussing the role of the cerebellum in motor control are centered on these complex spike events. However, these events are extremely rare, only occurring 1-2 times per second. As a result, drawing conclusions about their functional role has been very challenging, as even few errors in their detection may change the result. Since standard spike sorting approaches cannot fully handle the polyphasic shape of complex spike waveforms, the only safe way to avoid omissions and false detections has been to rely on visual inspection of long traces of Purkinje cell recordings by experts. Here we present a supervised deep learning algorithm for rapidly and reliably detecting complex spikes as an alternative to tedious visual inspection. Our algorithm, utilizing both action potential and local field potential signals, not only detects complex spike events much faster than human experts, but it also excavates key features of complex spike morphology with a performance comparable to that of such experts.Significance statementClimbing fiber driven “complex spikes”, fired at perplexingly low rates, are known to play a crucial role in cerebellum-based motor control. Careful interpretations of these spikes require researchers to manually detect them, since conventional online or offline spike sorting algorithms (optimized for analyzing the much more frequent “simple spikes”) cannot be fully trusted. Here, we present a deep learning approach for identifying complex spikes, which is trained on local field and action potential recordings from cerebellar Purkinje cells. Our algorithm successfully identifies complex spikes, along with additional relevant neurophysiological features, with an accuracy level matching that of human experts, yet with very little time expenditure.
High-precision navigation and positioning of celestial exploration rover based on depth camera
Authors: Bai Chengchao , Guo Jifeng , Zheng Hongxing 
Published: April 2019

Purpose
The purpose of this paper is to verify the correctness and feasibility of simultaneous localization and mapping (SLAM) algorithm based on red-green-blue depth (RGB-D) camera in high precision navigation and localization of celestial exploration rover.

Design/methodology/approach
First, a positioning algorithm based on depth camera is proposed. Second, the realization method is described from the five aspects of feature detection method, feature point matching, point cloud mapping, motion estimation and high precision optimization. Feature detection: taking the precision, real-time and motion basics as the comprehensive consideration, the ORB (oriented FAST and rotated BRIEF) features extraction method is adopted; feature point matching: solves the similarity measure of the feature descriptor vector and how to remove the mismatch point; point cloud mapping: the two-dimensional information on RGB and the depth information on D corresponding; motion estimation: the iterative closest point algorithm is used to solve point set registration; and high precision optimization: optimized by using the graph optimization method.

Findings
The proposed high-precision SLAM algorithm is very effective for solving high precision navigation and positioning of celestial exploration rover.

Research limitations/implications
In this paper, the simulation validation is based on an open source data set for testing; the physical verification is based on the existing unmanned vehicle platform to simulate the celestial exploration rover.

Practical implications
This paper presents a RGB-D camera-based navigation algorithm, which can be obtained by simulation experiment and physical verification. The real-time and accuracy of the algorithm are well behaved and have strong applicability, which can support the tests and experiments on hardware platform and have a better environmental adaptability.

Originality/value
The proposed SLAM algorithm can deal with the high precision navigation and positioning of celestial exploration rover effectively. Taking into account the current wide application prospect of computer vision, the method in this paper can provide a study foundation for the deep space probe.
Comparative analysis of lunar capture braking method based on particle swarm optimization
Authors: Bai Chengchao , Guo Jifeng , Zhang Wenyuan , Liu Tianhang , Guo Linli 
Published: April 2019

Purpose
The purpose of this paper is to verify the feasibility of lunar capture braking through three methods based on particle swarm optimization (PSO) and compare the advantages and disadvantages of the three strategies by analyzing the results of the simulation.

Design/methodology/approach
The paper proposes three methods to verify capture braking based on PSO. The constraints of the method are the final lunar orbit eccentricity and the height of the final orbit around the Moon. At the same time, fuel consumption is used as a performance indicator. Then, the PSO algorithm is used to optimize the track of the capture process and simulate the entire capture braking process.

Findings
The three proposed braking strategies under the framework of PSO algorithm are very effective for solving the problem of lunar capture braking. The simulation results show that the orbit in the opposite direction of the trajectory has the most serious attenuation at perilune, and it should consume the least amount of fuel in theoretical analysis. The methods based on the fixed thrust direction braking and thrust uniform rotation braking can better ensure the final perilune control accuracy and fuel consumption. As for practice, the fixed thrust direction braking method is better realized among the three strategies.

Research limitations/implications
The process of lunar capture is a complicated process, involving effective coordination between multiple subsystems. In this article, the main focus is on the correctness of the algorithm, and a simplified dynamic model is adopted. At the same time, because the capture time is short, the lunar curvature can be omitted. Furthermore, to better compare the pros and cons of different braking modes, some influence factors and perturbative forces are not considered, such as the Earth’s flatness, light pressure and system noise and errors.

Practical implications
This paper presents three braking strategies that can satisfy all the constraints well and optimize the fuel consumption to make the lunar capture more effective. The results of comparative analysis demonstrate that the three strategies have their own superiority, and the fixed thrust direction braking is beneficial to engineering realization and has certain engineering practicability, which can also provide reference for lunar exploration orbit design.

Originality/value
The proposed capture braking strategies based on PSO enable effective capture of the lunar module. During the lunar exploration, the capture braking phase determines whether the mission will be successful or not, and it is essential to control fuel consumption on the premise of accuracy. The three methods in this paper can be used to provide a study reference for the optimization of lunar capture braking.
Cognition differences and improvement countermeasures of non-technical medical services based on grey correlation analysis
Authors: Liu Hangyu , Liu Saina , Duan Lizhong , Zhang Chongxu , Yin Lili , Zhang Yinran , Lu Qi 
Published: April 2019

Purpose
The purpose of this paper is to explore the rationality differences of cognition of non-technical medical services in different groups, and to provide countermeasures for improving non-technical medical services.

Design/methodology/approach
Literature analysis, expert interviews, questionnaire survey and frequency analysis were taken to reveal the influencing factors of non-technical medical services. Grey correlation methods were taken to compare the rationality differences of cognition of non-technical medical services by analysis influencing factors’ scores marked by different groups.

Findings
A total of 12 influencing factors of non-technical medical services were obtained, including “doctor’s working career”, “doctor’s strict implementation of medical treatment norms and medication guidelines”, “doctor’s service awareness”, etc. And rationality differences of cognition of non-technical medical services were confirmed as follows: the doctors’ cognition was more reasonable compared with patients; the women’s cognition was more reasonable compared with men; the lower aged groups’ cognition was more reasonable compared with higher aged groups; and people with doctoral degree had a less reasonable cognition compared with others.

Originality/value
The authors systematically discussed the cognition differences of non-technical medical services among different people, and provided some countermeasures reasonably.
The effects of 2015 El Nino on smallholder maize production in the transitional ecological zone of Ghana
Authors: Owusu Kwadwo , Emmanuel Ayisi Kofi , Musah-Surugu Issah Justice , Yankson Paul William Kojo 
Published: April 2019

Purpose
This paper aims to provide empirical evidence on the El Nino and its effects on maize production in three municipalities: Ejura, Techiman and Wenchi in the transitional zone of Ghana. Using a mixed approach, the study details the effects of the El Nino on rainy season characteristics, particularly, rainfall amounts and distribution, onset and cessation of rains, duration of the rainy season and total seasonal rainfall and how it impacted smallholder maize production.

Design/methodology/approach
The study used a mixed method approach in collecting and analyzing data. For stronger evidence building, (Creswell, 2013) the authors combined interviews and focus group discussions (FGD) to collect the qualitative data. Semi-structured questionnaires were administered to extension officers, management information system officers and other relevant personnel of the Ministry of Agriculture in the three municipalities. Six FGD’s were held for maize farmers in six communities in all three municipalities.

Findings
The study shows that the 2015 El Nino had dire consequences on farm yields, subsequently affecting farmer’s incomes and livelihoods. The study further finds that complex socio-cultural factors, some unrelated to the El Nino, aggravated the effects on maize farmers. These include the lack of adequate climatic information, predominance of rain-fed farming, a lack of capacity to adapt and existing levels of poverty.

Originality/value
The study recommends inter alia, appropriate use of seasonal rainfall forecasting to enhance better farming decision-making and the development of elaborate climate variability interventions by national and local agencies.
The emerging role of coopetition within inter-firm relationships
Authors: Zacharia Zach , Plasch Michael , Mohan Usha , Gerschberger Markus 
Published: April 2019

PurposeIncreasing environmental uncertainty, more demanding customers, rapid technological growth and rising capital costs have all forced firms to evolve from collaborating with buyers and suppliers to collaborating with their competitors and that is called coopetition. The purpose of this paper is to better understand the antecedents and outcomes associated with coopetition.Design/methodology/approachBuilding from the existing literature and three theoretical foundations, resource-based theory, resource dependence theory and game theory, the authors develop a model showing the antecedents and outcomes of coopetition and associated propositions of coopetition. Using a semi-structured interview process of 21 industry executives, the authors offer empirical support for the proposed coopetition model and propositions.FindingsFirms are increasingly dependent on the knowledge and expertise in external organizations to innovate, solve problems and improve supply chain performance. This research suggests that there is a value for firms to consider coopetition as a part of their inter-firm strategies.Research limitations/implicationsThe semi-structured interview process used in this research provided a wealth of information and executive experiences in coopetition. The interviews, however, only provide a single perspective of collaborative engagements with competitors. Multiple perspectives of each project would add value to this research.Originality/valueCollaboration among buyers and suppliers have been well researched; however, there has not been as much research on coopetition. This research provides a new area for future research for academics and offers suggestions for managers to improve the effectiveness and efficiency of their coopetition projects.
Identification and prioritization of factors influencing organization risk tolerance level
Authors: Khalilzadeh Mohammad , Masoumi Shiba , Masoumi Isa 
Published: April 2019

Purpose
Identifying and prioritizing the risks are considered as critical issues in risk management; otherwise, non-considering the risks will lead to the problems such as delays in project implementation, increased costs, loss of reputation, loss of clients, reduced revenue and liquidity and even bankruptcy. The paper aims to discuss these issues.

Design/methodology/approach
In this paper, the factors influencing the organization risk tolerance level were identified. Then, the factors increasing and decreasing the risk tolerance level were determined by a decision-making model. Finally, a comprehensive model was considered for risk measuring and preparing a risk failure structure chart, in order to determine the factors influencing it as well as the measurement criteria and then they were ranked using the taxonomy method. In this study, the size of the statistical population was 130 (six small and medium manufacturer and service provider companies). Based on Cochran’s sample size formula, 97 questionnaires containing 30 questions were randomly distributed among the population. Validity and reliability of the questionnaire were confirmed. The data were analyzed by SPSS 22.

Findings
Given the hypotheses of this study, the first hypothesis was rejected and the other hypotheses were accepted. The final ranking was done using the taxonomy method; the personality of the project manager was ranked at first; income, credit and capital were ranked second and the number of personnel was ranked third. Moreover, the TOPSIS method was used for ranking to compare the results.

Originality/value
In this research, the identification and ranking of these factors have taken place in several small- and medium-sized organizations; in addition, the rankings are conducted using the taxonomy decision-making method.
Reforming government public accountability: the case of Thailand
Authors: Keerasuntonpong Prae , Manowan Pavinee , Shutibhinyo Wasatorn 
Published: April 2019

Purpose
Public accountability was formally imposed on the Thai Government in 1997 when the World Bank compelled public sector reforms as a condition for bailing the country from bankruptcy. Despite regulating to promote public accountability for 20 years, the public accountability of Thai Government is still criticized as poor. However, the specific areas of public accountability needing improvement have not been clearly identified in Thailand. The purpose of this paper is to investigate how the Thai Government discharges its public accountability.

Design/methodology/approach
Prior literature supported annual reports as essential means by which public sector entities discharge their public accountability, and addressed the desirable aspects of reporting which permit the public’s monitoring of their government’s performance. That is: the account must be publicly accessible, timely, reliable and adequate. This paper evaluates the 2016 annual reports of the Thai Central Government departments against these aspects in tandem with the reporting regulations.

Findings
The results show that reliability and timeliness of annual report disclosures are the most problematic, followed by accessibility and adequacy. It was also found that the existing regulations provide only mild sanctions on government officers for their non-compliance. Further, statistical evidence suggests that larger departments report better on voluntary items than departments with smaller revenue.

Originality/value
These weaknesses of the reporting and regulations provide immediate suggestions for public policy regulators as to how to improve the Thai Government’s public accountability. These results are also expected to be useful to international lending institutions to be aware of particular issues when considering their foreign aid programs. Theoretically, the paper supports the necessity of public accountability mechanisms, in particular public sanctions, which need to be strong enough to motivate governments’ public accountability. It also highlights that public accountability aspects can be useful to measure or evaluating public sector reporting in emerging countries such as Thailand.
Financial information transfer in municipal government
Authors: Jones Janet R. , Holmes Amy Foshee , Fischer Mary , Cole Brooklyn 
Published: April 2019

PurposeThe purpose of this paper is to investigate how trust, honesty and transparency impact the willingness and timeliness of communicating financial information between Government Finance Officers (GFOs) and members of the municipal boards they serve.Design/methodology/approachSurvey data was collected from professionals who work with municipalities to ensure government resources are properly managed. Nonparametric local-linear regression was used to analyze the data.FindingsEvidence suggests that trust in the board, GFO preference for honesty and greater transparency of the municipality influence the timeliness of communication. There is evidence that when the GFO and board members have a working relationship built on trust and the GFO has a preference for honesty, the GFO is more willing to share positive information with the board. In addition, there is evidence that with greater transparency and trust in the board, there is a reduction in the time of sharing positive information in situations where there is little discretion in disclosing and less willingness to share information.Research limitations/implicationsA principal limitation of this study is the small sample size. In addition, the study was conducted using only participants from the pool of members of the Government Finance Officers Association of Texas. As an exploratory study, the survey included a minimal number of questions to gather data from actual GFOs and included only six possible scenarios. The time constraint resulted in a reduced number of questions related to the models used. Other limitations include the potential of missing variables, factors or perceptions related to scenarios not presented in the survey instrument.Practical implicationsThe findings suggest that with greater transparency, there is less time between the event and the GFO communication to the board providing the opportunity to improve the effectiveness of the decision-making process.Originality/valueThis study is the first to explore the effects of increased transparency on the level of communication between the GFO and the board.
Actors’ dynamics toward performance-based budgeting: a mix of change and stability?
Authors: Mauro Sara Giovanna , Cinquini Lino , Sinervo Lotta-Maria 
Published: April 2019

PurposeThe purpose of this paper is to analyze the under-investigated role played by different key organizational actors engaged in the practice of performance-based budgeting (PBB) (e.g. Ministry of Finance, National Audit Office, Sectoral Agencies) to explore how they influence the practice of PBB, contributing to lead the change or create resistance toward it.Design/methodology/approachThe empirical evidence has been collected through a multiple case study based on semi-structured interviews and document analysis in Sweden and Finland, which have long traditions with PBB, and has been interpreted through the lens of institutional and organizational change theory.FindingsThe results show that, despite the lengthy experiences with PBB, the lack of sound dynamics across key actors makes the budgetary use of performance information limited and partial, placing the reform in a “gray area” between the complete implementation of the practice and the total resistance toward it.Originality/valueThe knowledge obtained from the exploratory analysis has relevant implications for understanding differences and similarities across key organizational actors and underlining their crucial role in making a change feasible. Indeed, PBB may represent a radical change even in presence of embedded performance management systems.
The role of crisis typology and cultural belongingness in shaping consumers’ negative responses towards a faulty brand
Authors: Baghi Ilaria , Gabrielli Veronica 
Published: April 2019

PurposePrevious research on brand crisis has introduced the difference between a values-related crisis and a performance-related crisis. However, little remains known regarding consumers’ varying negative responses towards these two different types of brand misconduct. This paper aims to investigate and compare consumers’ affective and behavioural negative reactions (i.e. negative word of mouth and purchase intention) towards a faulty brand during a values-related crisis and a performance-related crisis by testing the mediation of negative emotions and introducing the moderating role of cultural belongingness (collectivistic vs individualistic).Design/methodology/approachThe authors tested a model of moderated mediation in a cross-cultural investigation on a sample of 229 Italian and Asian consumers. The study is a 2 (cultures: collectivistic vs individualistic) × 2 (crisis: performance-related vs values-related) between-subjects experimental design. The moderated mediation model shows that consumers’ negative reactions (negative word of mouth and negative purchase intention) towards a faulty brand involved in different crisis typologies is explained by the mediating role of negative emotions, and that this mediation depends on a consumer’s cultural belongingness.FindingsThe results suggest that consumers belonging to a collectivistic culture (e.g. Asian culture) tend to react in a more severe and strict manner when faced with a values-related brand crisis event then when faced with a performance-related crisis. The arousal of negative emotion towards a brand represents the mediating variable in behavioural responses (i.e. negative word of mouth and purchase intention).Originality/valueThe present study extends current knowledge in the field of consumers’ negative response to brand irresponsibility behaviours while introducing the role of crisis typology and cultural belongingness. In particular, individualistic people are more sensitive to a values-related crisis in comparison with a performance-related one. The findings of this study have strong managerial implications for defining effective response strategies to negative events involving brands in different markets.