bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deficient synaptic neurotransmission results in a persistent sleep-like cortical activity across vigilance states in mice
Authors: Guillaumin Mathilde C. C. , Harding Christian D. , Krone Lukas B. , Yamagata Tomoko , Kahn Martin C. , Blanco-Duque Cristina , Banks Gareth T. , Nolan Patrick M. , Peirson Stuart N. , Vyazovskiy Vladyslav V. 
Published: May 2023

ABSTRACTGrowing evidence suggests that brain activity during sleep, as well as sleep regulation, are tightly linked with synaptic function and network excitability at the local and global levels. We previously reported that a mutation in synaptobrevin 2 (Vamp2) in restless (rlss) mice results in a marked increase of wakefulness and suppression of sleep, in particular REM sleep (REMS) as well as increased consolidation of sleep and wakefulness. In the current study, using finer-scalein vivoelectrophysiology recordings, we report that spontaneous cortical activity inrlssmice during NREM sleep (NREMS) is characterised by an occurrence of abnormally prolonged periods of complete neuronal silence (OFF-periods), often lasting several seconds, similar to the burst suppression pattern typically seen under deep anaesthesia. Increased incidence of prolonged network OFF-periods was not specific to NREMS, but also present in REMS and wake inrlssmice. Slow-wave activity (SWA) was generally increased inrlssmice, while higher frequencies including theta-frequency activity were decreased, further resulting in diminished differences between vigilance states. The relative increase in SWA after sleep deprivation was attenuated inrlssmice, suggesting either thatrlssmice experience persistently elevated sleep pressure, or, alternatively, that the intrusion of sleep-like patterns of activity into awake state diminishes the accumulation of sleep drive. We propose that deficit in global synaptic neurotransmitter release leads to ‘state inertia’, reflected in an abnormal propensity of brain networks to enter and remain in a persistent ‘default state’ resembling coma or deep anaesthesia.
Developing an outcome measure for an adult intellectual disabilities intensive support team – a practice paper
Authors: Lines Jason , Krishnadas Kiran 
Published: May 2023

Purpose
This paper aims to outline the initial pilot use of the client complexity matrix (CCM), an outcome measure developed for an NHS Adult Intellectual Disabilities Intensive Support Team (IST) in the West Midlands of England.

Design/methodology/approach
A mixed method approach was used to report the results and evaluate the use of the CCM within this IST. The CCM was trialled for six months between January 2022 and June 2022. CCM scores pre and post IST intervention were analysed via t-test, and qualitative feedback from clinicians is detailed.

Findings
Analysis suggests the CCM captures service success showing a significant decrease in complexity and risk post-intervention. Qualitative comments from clinicians were generally positive; however, there were requested changes regarding specific presentations, use of labels/language and for a digital version.

Research limitations/implications
The tool is not co-constructed with the client. Because of this IST’s caseload, the sample size was small. Only one clinician was asked to complete the CCM pre and post intervention. Future use of the measure will encourage two clinicians to complete the measure to evidence its inter-rater reliability. Each client’s specific presentation was not explicitly analysed here.

Practical implications
The CCM will be updated using the feedback from clinicians and from the peer review process. Research that examines the generalisability of this measure to other IST services would be beneficial.

Originality/value
The CCM appears to fill a gap in outcome measurements for this IST service which looks at breadth and depth of client complexity and risk.
On the zero state-response of the ℑ-order R-C circuit within the local fractional calculus
Authors: Wang Kang-Jia , Liu Jing-Hua 
Published: May 2023

Purpose
As a powerful mathematical analysis tool, the local fractional calculus has attracted wide attention in the field of fractal circuits. The purpose of this paper is to derive a new

ℑ-order non-differentiable (ND) R-C zero state-response circuit (ZSRC) by using the local fractional derivative on the Cantor set for the first time.

Design/methodology/approach
A new

ℑ-order ND R-C ZSRC within the local fractional derivative on the Cantor set is derived for the first time in this work. By defining the ND lumped elements via the local fractional derivative, the

ℑ-order Kirchhoff voltage laws equation is established, and the corresponding solutions in the form of the Mittag-Leffler decay defined on the Cantor sets are derived by applying the local fractional Laplace transform and inverse local fractional Laplace transform.

Findings
The characteristics of the

ℑ-order R-C ZSRC on the Cantor sets are analyzed and presented through the 2-D curves. It is found that the

ℑ-order R-C ZSRC becomes the classic one when

ℑ = 1. The comparative results between the

ℑ-order R-C ZSRC and the classic one show that the proposed method is correct and effective and is expected to shed light on the theory study of the fractal electrical systems.

Originality/value
To the best of the authors’ knowledge, this paper, for the first time ever, proposes the

ℑ-order ND R-C ZSRC within the local fractional derivative on the Cantor sets. The results of this paper are expected to give some new enlightenment to the development of the fractal circuits.
Addressing data quality in Airbnb research
Authors: Prentice Catherine , Pawlicz Adam 
Published: May 2023

Purpose
This paper aims to examine the primary supply data sources that have been used for research into the sharing economy, and the advantages and limitations of these sources in the literature.

Design/methodology/approach
To address the research aims, this study conducted a systematic literature review and content analysis of all relevant articles. Following the review, the methodological sections of the selected papers were examined to identify the characteristics and limitations of all data sources used in the papers.

Findings
This study revealed several limitations of the use of three major data sources, namely, web scraping with self-made bots, inside Airbnb and AirDNA, for sharing economy research. The review shows that the majority of the selected papers did not acknowledge any limitations, nor did they discuss the quality of the data sources.

Research limitations/implications
The findings of this paper can serve as guidelines for selecting appropriate data sources for research into the sharing economy and cautions researchers to address the limitations of the data sources used.

Originality/value
To the best of the authors’ knowledge, this is the first study that explores the advantages and limitations of data sources used in short-term rental market research.
Climate change adaptation strategies and technical efficiency of maize producers in Benin, West Africa
Authors: Akpa Armand Fréjuis , Amegnaglo Cocou Jaurès , Chabossou Augustin Foster 
Published: May 2023

PurposeThis study aims to discuss climate change, by modifying the timing of several agricultural operations, reduce the efficiency and yield of inputs leading to a lower production level. The reduction of the effects of climate change on production yields and on farmers' technical efficiency (TE) requires the adoption of adaptation strategies. This paper analyses the impact of climate change adaptation strategies adopted on maize farmers' TE in Benin.Design/methodology/approachThis paper uses an endogeneity-corrected stochastic production frontier approach based on data randomly collected from 354 farmers located in three different agro-ecological zones of Benin.FindingsEstimation results revealed that the adoption of adaptation strategies improve maize farmers' TE by 1.28%. Therefore, polices to improve farmers' access to climate change adaptation strategies are necessarily for the improvement of farmers' TE and yield.Research limitations/implicationsThe results of this study contribute to the policy debate on the enhancement of food security by increasing farmers' TE through easy access to climate change adaptation strategies. The improvement of farmers' TE will in turn improve the livelihoods of the communities and therefore contribute to the achievement of Sustainable Development Goals 1, 2 and 13.Originality/valueThis study contributes to theoretical and empirical debate on the relationship between adaptation to climate change and farmers' TE. It also adapts a new methodology (endogeneity-corrected stochastic production frontier approach) to correct the endogeneity problem due to the farmers' adaptation decision.
Impact of green supply chain management practices on the triple bottom line: a study on apparel manufacturers of Sri Lanka
Authors: Susitha Emmanuel , Nanayakkara Madhurika 
Published: May 2023

Purpose
This paper aims to assess the impact of green supply chain management (GSCM) practices on the triple bottom line’s economic, social and environmental performance of Sri Lankan apparel manufacturers.

Design/methodology/approach
This quantitative study uses a deductive approach. The practice-based view is used to support the conceptual framework. The partial least square structural equation modelling technique empirically assessed the conceptual model using 164 responses from Sri Lankan apparel manufacturers through a structured survey questionnaire. Apart from examining the direct effects of GSCM practice on the triple bottom line, the study also investigated the moderating effects of firm size and duration.

Findings
The results show that GSCM practices positively affect the organisation’s triple bottom line while business size and duration moderate the said relationship.

Research limitations/implications
The fact that this study is based on Sri Lankan apparel producers may impact the generalizability of the findings across different industries and countries. Furthermore, the survey only looked at export manufacturers. This raises questions about the results’ relevance to other non-export groups of the current population with distinct characteristics.

Practical implications
The paper provides insights for both academia and practitioners on the importance of adopting GSCM practices for the business performance of apparel manufacturers in Sri Lanka. The paper includes implications for devising strategic solutions for organisational performance and sustainability by using GSCM practices in apparel manufacturers in Sri Lanka.

Originality/value
The research contributes to the body of knowledge in the GSCM field in general. This research also contributes to the limited literature on GSCM practices in Sri Lanka. To the best of the authors’ knowledge, this is the first attempt to explain how apparel manufacturers in Sri Lanka are organised.
Does financial distress induce companies to restructure their financing mix?
Authors: Rawal Aashi , Bhimavarapu Venkata Mrudula , Sidhu Anureet Virk , Rastogi Shailesh 
Published: May 2023

PurposeDistressed companies create panic among investors. The overall effect comes on the economy and leads to a degraded image and value of all the companies operating in a country. These distressing situations are harmful to the efficient development of a country in process of development. Financial distress (FD) is when a company or individual cannot promise to pay their obligations on time. Therefore, to analyze the threatening impacts of FD, the current study aims to reveal the impact of FD on the debt ratio (proxy of capital structure) of firms working in India.Design/methodology/approachPanel data analysis (PDA) has been used in the current study to analyze the data and generate novel results. The authors have considered the secondary data of firms present in the S&P BSE 100 index for ten financial years, i.e. 2010 to 2019.FindingsThis study has established that FD has no significant impact on the firm's capital structure. In addition, it has also been proved that asset size, learner's index, market capitalization and operating profit margin (OPM) have no interacting impact on the association between FD and the capital mix of firms.Originality/valueAs per the authors’ observation, no such study has been conducted till now that involves finding out the moderating impact of four different but significant factors of the business environment (assets size, learner's index, market capitalization and OPM) on the association between FD and capital structure of companies operating in a such an extensive and diverse economy.
Sri Lanka’s political-economic crisis; corruption, abuse of power and economic crime
Authors: Abeyagoonasekera Asanga 
Published: May 2023

Purpose
This paper aims to examine the present Sri Lankan political-economic crisis and its connection to corruption. The paper will discuss the autocratic rule, elite domination of state extractive systems, which have been moulded and configured by Sri Lanka’s political environment over decades. Elite capture has become a significant factor. Sri Lanka’s authoritarian model exercised by Gotabaya Rajapaksa reduced competitive mode and shifted towards a monopolistic corruption structure, centralising on the first family and military rule where powerful elites supported the model. The paper attempts to find the connection between dysfunctional political model and economic crimes committed through several case studies.

Design/methodology/approach
The paper discusses five case studies using qualitative analysis using secondary data. The insider trading case study is discussed with quantitative data. Several political and social analyses were carried out with primary data captured from field research by the author.

Findings
Sri Lankan economic crisis was triggered because of high-level corruption. The autocratic model introduced by the political authority failed to fight corruption. Transnational mechanisms will fail if there is no credibility and commitment in their own respective nations such as in the USA. External factors such as China in Sri Lanka did have an impact for elite capture.

Research limitations/implications
This study is limited only to five case studies. Transnational mechanism and recommendations require a lengthy study. Only one external factor was assessed because of its significance; there could be other external factors for elite capture.

Practical implications
This study has limited access to capture primary data because of sensitivity during a heavy autocratic regime. Because of state and self-censorship, secondary data had to be tested.

Social implications
Economic crisis in Sri Lanka is an example to many developing nations fighting corruption. The autocratic family rule supported by external forces crippled the state anti-corruption processes. Economic crime is a key driver for poverty and economic crisis.

Originality/value
This is a unique paper that examines Sri Lanka’s present economic crisis and its political model and economic crime. The paper will discuss transnational mechanisms for anti-corruption and attempt to apply to the Sri Lankan crisis.
Intention to adopt Islamic finance through the mediation of attitudes towards Islamic finance
Authors: Shah Naimatullah , Bhatti Mitho Khan , Anwar Sadia , Soomro Bahadur Ali 
Published: May 2023

Purpose
This paper aims to explore the intention to adopt Islamic finance (ItIF) through the mediation of attitudes towards Islamic finance among microbusiness owners of Pakistan.

Design/methodology/approach
The study is co-relational and based on cross-sectional data. The authors gathered the data from microbusiness owners through a survey questionnaire. The authors used 236 valid cases to assume the outcomes.

Findings
The results through structural equation modeling reveal a significant positive effect of the perception of Shariah compliance (PoSC), knowledge of the Islamic financial system (KoIF), religious preferences (RP) and loyalty on ItIF. Furthermore, attitude towards Islamic finance (AtIF) is a potent factor in developing the relationship between PoSC, KoIF, RP, loyalty and ItIF.

Practical implications
The study’s findings would be helpful for planners and policymakers in developing policies that favourably enhance the attitudes and intentions among individuals towards Islamic financing. The results would inspire readers to go to Islamic finance and an interest-free financial system enriched with Shariah law or Islamic obligations. The study would provide implications for the financial institutions in Pakistan and the rest of the Muslim world.

Originality/value
The study offers an apparent thoughtfulness of the empirical evidence from microbusiness owners of Pakistan. The study would provide a plausible mediating contribution of AtIF.
Opportunity mapping: locating the upside of risk through visual mapping
Authors: Case Tyler 
Published: May 2023

Purpose
The increasing prevalence of enterprise risk coupled with global competition requires a strategic link to the way forward through measured outcomes determined in a collaborative and visual manner.

Design/methodology/approach
The model was conceptualized and validated through strategic management deficiencies encountered in venture ownership, management consulting and teaching practice and was augmented with extensive stakeholder input and existing scholarly research.

Findings
Managing risk is a complex and somewhat dark task that can happen everywhere or nowhere within a firm and requires mitigating strategies developed with stakeholder consensus. In practice with three distinct audiences of entrepreneurs, senior managers and capstone student strategists, the model does facilitate linked risk and opportunity identification as well as the quantification and/or qualification of variables. The process is as impactful as the outcomes when individual risk “appetites” and a collective risk culture emerge.

Practical implications
Innovative organizations must regularly scan their external environment and assess internal resources and capabilities in a structured and actionable manner while understanding their risk culture. Valuable outcomes emerge from facilitating strategic risk management discussions, particularly in growing and informal organizations. Risk communications with stakeholders are complex and increasingly important.

Originality/value
Opportunity mapping offers a novel process to identify prioritized strategies that may be otherwise determined intuitively with limited input or absent altogether. The process facilitates actionable outcomes as a supplement to the known practice of risk assessment while contributing to a competitive advantage.
Deep decomposition learning for reflectivity inversion
Authors: Torres Kristian , Sacchi Mauricio D 
Published: May 2023

AbstractWe report a combination of classical regularization theory with a null space neural network approach based on deep decomposition learning, paying particular attention to the solution of one ubiquitous problem in seismic exploration: the recovery of full‐band reflectivity from band‐limited seismic traces. The method extends the popular post‐processing approach by learning how to improve an initial reconstruction with estimated missing components from the null space of the forward operator, which in our case, are the missing frequency components of the reflectivity. We integrate the null space element prediction to act in conjunction with convolutional neural network based denoising and a data‐consistent algorithm. The proposed framework honours the input measurements while enforcing generalization. Numerical experiments on synthetic and real datasets show that the proposed method naturally enforces a high‐resolution prediction consistent with the low‐resolution input seismic traces. We compare its performance with state‐of‐the‐art thin‐bed reflectivity estimation methods.
Preprocessing of passive‐source ocean‐bottom seismometer data in the Mariana subduction zone
Authors: Li Dong , Chen Chuanxu , Zhang Hanyu , Wang Yuan , Wu Shiguo 
Published: May 2023

AbstractThe data collected by ocean‐bottom seismometers are unique compared to that of land seismic stations and require preprocessing before use. In this study, we focus on preprocessing seismic data obtained from a passive‐source experiment in the Mariana subduction zone conducted by the Institute of Deep‐Sea Science and Engineering, Chinese Academy of Sciences from 2018 to 2019. We outline the steps involved in preprocessing the data, including time correction using the ocean background noise cross‐correlation function, tilt correction using a transfer function and orientation correction based on seismic wave polarization. Our results show that the maximum clock drifting was ∼4 s on two stations (K06 and K20), whereas the rest of the station waveforms have clock drifting of less than 2 s. Among stations, only the K06 station is tilted, and the tilt angle is 19.82°. We use the P‐wave and Rayleigh wave polarization methods to determine the orientation. Our results indicate that the error in the result obtained using the P‐wave polarization method is less than that of the Rayleigh wave polarization method. Additionally, we address the advantages and disadvantages of these preprocessing techniques. Our goal is to offer a comprehensive overview of the preprocessing process, to assist beginners in the field and to serve as a foundation for future research in passive‐source ocean‐bottom seismometers.
DeepWild: Application of the pose estimation tool DeepLabCut for behaviour tracking in wild chimpanzees and bonobos
Authors: Wiltshire Charlotte , Lewis‐Cheetham James , Komedová Viola , Matsuzawa Tetsuro , Graham Kirsty E. , Hobaiter Catherine 
Published: May 2023

Abstract

Studying animal behaviour allows us to understand how different species and individuals navigate their physical and social worlds. Video coding of behaviour is considered a gold standard: allowing researchers to extract rich nuanced behavioural datasets, validate their reliability, and for research to be replicated. However, in practice, videos are only useful if data can be efficiently extracted. Manually locating relevant footage in 10,000 s of hours is extremely time‐consuming, as is the manual coding of animal behaviour, which requires extensive training to achieve reliability.

Machine learning approaches are used to automate the recognition of patterns within data, considerably reducing the time taken to extract data and improving reliability. However, tracking visual information to recognise nuanced behaviour is a challenging problem and, to date, the tracking and pose‐estimation tools used to detect behaviour are typically applied where the visual environment is highly controlled.

Animal behaviour researchers are interested in applying these tools to the study of wild animals, but it is not clear to what extent doing so is currently possible, or which tools are most suited to particular problems. To address this gap in knowledge, we describe the new tools available in this rapidly evolving landscape, suggest guidance for tool selection, provide a worked demonstration of the use of machine learning to track movement in video data of wild apes, and make our base models available for use.

We use a pose‐estimation tool, DeepLabCut, to demonstrate successful training of two pilot models of an extremely challenging pose estimate and tracking problem: multi‐animal wild forest‐living chimpanzees and bonobos across behavioural contexts from hand‐held video footage.

With DeepWild we show that, without requiring specific expertise in machine learning, pose estimation and movement tracking of free‐living wild primates in visually complex environments is an attainable goal for behavioural researchers.