bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circadian rhythms in multiple behaviors depend on sex, neuropeptide signaling, and ambient light
Authors: Wahba Lari Rays , Perez Blanca , Nikhil KL , Herzog Erik D. , Jones Jeff R. 
Published: August 2022

AbstractOrganisms have evolved circadian (near-24 h) rhythms in behavior to anticipate daily opportunities and challenges such as mating and predation. However, the ethological investigation of circadian behavioral rhythms has been traditionally limited to studying easy-to-measure behaviors at higher temporal resolution or difficult-to-measure behaviors with limited temporal resolution. Our ability to simultaneously record circadian rhythms in multiple behaviors has also been limited by currently available technology. We thus sought to examine eight overt, ethologically-relevant behaviors never before studied simultaneously as a function of time of day: eating, drinking, grooming, rearing, nesting, digging, exploring, and resting. To address the hypothesis that the daily patterning of these behaviors depends on neuropeptide signaling, sex, and ambient light, we used high-throughput machine learning to automatically score millions of video frames of freely-behaving male and female wild-type and vasoactive intestinal peptide (Vip)-deficient mice. Automated frame-by-frame predictions of the eight behaviors correlated highly with consensus labels by trained human classifiers. We discovered reliable daily rhythms in many previously unreported behaviors that peaked at stereotyped times of day and persisted in constant darkness. Surprisingly, nesting and digging rhythms differed dramatically in both phase and amplitude between male and female mice. InVip-deficient mice, daily rhythms in most behaviors were low amplitude and peaked earlier in the day in a light:dark cycle, while rhythms in all behaviors peaked randomly throughout the day in constant darkness. We also found that for most behaviors, time budgets predominantly differed by light cycle, but transition probabilities predominantly differed with VIP signaling and by sex. We conclude that machine learning can be used to reveal novel sex, neuropeptide, and light-dependent behaviors at time scales from seconds to days.
Isolation and characterization of autophagic bodies from yeast
Authors: Kawamata Tomoko , Makino Shiho , Kagohashi Yoko , Sasaki Michiko , Ohsumi Yoshinori 
Published: August 2022

ABSTRACTAutophagy is a major cellular degradation pathway that is highly conserved among eukaryotes. The identification of cargos captured by autophagosomes is critical to our understanding of the physiological significance of autophagy in cells. In the yeast S. cerevisiae, cells deficient in the vacuolar lipase Atg15 accumulate autophagic bodies (ABs) within the vacuole following the induction of autophagy. As ABs contain cytosolic components including proteins, RNAs, and lipids, their purification allows the identification of material targeted by autophagy for degradation. In this study, we demonstrate a method to purify intact ABs from vacuoles that retain membrane integrity and contain autophagic cargos. This technique offers a valuable tool for the identification of the cargos of autophagy, examination of autophagic cargo selectivity, and biochemical characterization of autophagosome membranes.
Expression of complexes I, II and IV in the SGNs of noise-stimulated rats was decreased, and mitochondrial energy metabolism was disturbed, mediating the damage and degeneration of SGNs
Authors: Ding Zhong Jia , Wang Yin , Wang Ren Feng , Mi Wen Juan , Qiu Jian Hua , Zha Ding Jun 
Published: August 2022

AbstractNoise-induced hearing impairment can mediate delayed injury of spiral neurons (SGNs), resulting in degeneration of nerve fibers, synaptic degeneration and even death of SGNs. We believe that delayed injury is related to mitochondrial energy metabolism disorders. Therefore, we investigated ATP and the electron transport chain (ETC) in rat SGNs after noise injury and found that with prolonged injury time, ATP synthesis and the expression of complexes II and IV decreased, indicating the functional decline of the ETC. The maintenance of ETC function is related to subunit import and assembly of the complex. The disulfide relay mechanism controlled by the apoptosis inducing factor/coiled-coil-helix-coiled-coil-helix domain-containing protein 4(AIF/CHCHD4) pathway can regulate mitochondrial protein import. The results showed that AIF expression in SGNs decreased after noise exposure, indicating that noise damage to SGNs can restore intramitochondrial protein input by downregulating the AIF/CHCHD4 pathway, hindering ETC function; insufficient ETC function is a possible reason for the delayed injury of SGNs.
Distinct non-coding RNA cargo of extracellular vesicles from M1 and M2 human primary macrophages
Authors: Pantazi Paschalia , Clements Toby , Venø Morten , Abrahams Vikki M , Holder Beth 
Published: August 2022

AbstractMacrophages are important antigen presenting cells which can release extracellular vesicles (EVs) carrying functional cargo including non-coding RNAs. Macrophages can be broadly classified into M1 ‘classical’ and M2 ‘alternatively-activated’ macrophages. M1 macrophages have been linked with inflammation-associated pathologies, whereas a switch towards an M2 phenotype indicates resolution of inflammation and tissue regeneration. Here, we provide the first comprehensive analysis of the small RNA cargo of EVs from human M1 and M2 primary macrophages. Using small RNA sequencing, we identified several types of small non-coding RNAs in M1 and M2 macrophage EVs including miRNAs, isomiRs, tRNA fragments, piRNA, snRNA, snoRNA and Y-RNA fragments. Distinct differences were observed between M1 and M2 EVs, with higher relative abundance of miRNAs, and lower abundance of tRNA fragments in M1 compared to M2 EVs. MicroRNA-target enrichment analysis identified several gene targets involved in gene expression and inflammatory signalling pathways. EVs were also enriched in tRNA fragments, primarily originating from the 5’ end or the internal region of the full length tRNAs, many of which were differentially abundant in M1 and M2 EVs. Similarly, several other small non-coding RNAs, namely piRNAs, snRNAs, snoRNAs and Y-RNA fragments, were differentially enriched in M1 and M2 EVs; we discuss their putative roles in macrophage EVs. In conclusion, we show that M1 and M2 macrophages release EVs with distinct RNA cargo, which has the potential to contribute to the unique effect of these cell subsets on their microenvironment.
Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset
Authors: Koiso Kenshu , Müller Anna K , Akamatsu Kazuaki , Dresbach Sebastian , Wiggins Christopher J , Gulban Omer Faruk , Goebel Rainer , Miyawaki Yoichi , Poser Benedikt A , Huber Laurentius 
Published: August 2022

AbstractCortical depth-dependent functional magnetic resonance image (fMRI), also known as layer-fMRI, has the potential to capture directional neural information flow of brain computations within and across large-scale cortical brain networks. E.g., layer-fMRI can differentiate feedforward and feedback cortical input in hierarchically organized brain networks.Recent advancements in 3D-EPI sampling approaches and MR contrast generation strategies have allowed proof-of-principle studies showing that layer-fMRI can provide sufficient data quality for capturing laminar changes in functional connectivity. These studies have however not shown how reliable the signal is and how repeatable the respective results are. It is especially unclear whether whole-brain layer-fMRI functional connectivity protocols are widely applicable across common neuroscience-driven analysis approaches. Moreover, there are no established preprocessing fMRI methods that are optimized to work for whole-brain layer-fMRI datasets.In this work, we aimed to serve the field of layer-fMRI and build tools for future routine whole-brain layer-fMRI in application-based neuroscience research. We have developed publicly available sequences, acquisition protocols, and processing pipelines for whole-brain layer-fMRI. These protocols are validated across 60 hours of scanning in nine participants. Specifically, we identified and exploited methodological advancements for maximizing tSNR efficiency and test-retest reliability.We are sharing an extensive multi-modal whole-brain layer-fMRI dataset (20 scan hours of movie-watching in a single participant) for the purpose of benchmarking future method developments: The Kenshu dataset. With this dataset, we are also exemplifying the usefulness of whole brain layer-fMRI for commonly applied analysis approaches in modern cognitive neuroscience fMRI studies. This includes connectivity analyses, representational similarity matrix estimations, general linear model analyses, principal component analysis clustering, etc. We believe that this work paves the road for future routine measurements of directional functional connectivity across the entire brain.Graphical Abstract
“New career” profiles for young adults incorporating traditional and protean career orientations and competencies
Authors: Kim Sujin , Hood Michelle , Creed Peter , Bath Debra 
Published: August 2022

PurposeUsing latent profile analysis, the authors explored the career profiles of young adult tertiary students (N = 468, 73.9% women; mean age 20 years) to determine the relative importance of traditional career orientation (TCO) and protean career orientation (PCO) beliefs for them.Design/methodology/approachYoung adults studying at university can aspire to traditional career experiences as they believe organizations will support their professional and career development. However, since the development of newer career models, the TCO model has received little research attention compared to the PCO.FindingsThe authors found that the dominant profile exhibited average levels of TCO, PCO and career competencies, and that this mixed profile was associated with more mature career identity development and greater organizational commitment. A second profile, with low TCO, average PCO and career competencies, showed a similar level of career maturity to the mixed profile, but exhibited less organizational commitment. A third profile, with average TCO, low PCO and career competencies, especially vocational identity awareness, was related to less career development and organizational commitment.Originality/valueThe findings suggest that a mixed traditional-protean orientation is common in young adult tertiary students and that the development of a vocational identity is important for positive career outcomes, regardless of orientation.
An examination of the influence of urban violence on rental value of residential property in Kaduna metropolis
Authors: Odebode Adedayo Ayodeji , Aro Shittu Oluwakayode , Agboola Alirat Olayinka 
Published: August 2022

Purpose
The paper aims to examine the influence of urban violence on residential property rental value in Kaduna metropolis. This is motivated by the spate of insurgency and the attendant destructions of land and properties in the past few years in the study area.

Design/methodology/approach
This paper adopted a survey of key sites of urban violence and also a total enumeration of all the 67-estate surveying and valuation firms in the study area to elicit from them vital information on trends on rental from 2011 to 2019. The data obtained were analyzed using both descriptive and inferential methods of statistical analysis.

Findings
The result of this study revealed that among other sources of urban violence, violence fueled by ethnic affiliations/convictions is the only significant factor that influenced rental value of residential property in the study area. The regression analysis shows that ethnic violence accounted for 21.6% of the variability observed in residential property rental value over the period of study. Furthermore, the correlation result showed that ethnic violence is negatively correlated (−0.458) and significantly related to residential property rental value.

Practical implications
This study concluded that the emergence of urban violence in Kaduna metropolis contributed to a fall in the rental value of residential property in the study area. This study thus suggested policy directions that could engender harmonious coexistence among different ethnic groups in the study area.

Originality/value
This study is expected to enhance improvement in residential property rental value in Kaduna metropolis through increase assurance to security of lives and property.
Multi-objective particle swarm optimization algorithm using Cauchy mutation and improved crowding distance
Authors: Li Qingxia , Zeng Xiaohua , Wei Wenhong 
Published: August 2022

PurposeMulti-objective is a complex problem that appears in real life while these objectives are conflicting. The swarm intelligence algorithm is often used to solve such multi-objective problems. Due to its strong search ability and convergence ability, particle swarm optimization algorithm is proposed, and the multi-objective particle swarm optimization algorithm is used to solve multi-objective optimization problems. However, the particles of particle swarm optimization algorithm are easy to fall into local optimization because of their fast convergence. Uneven distribution and poor diversity are the two key drawbacks of the Pareto front of multi-objective particle swarm optimization algorithm. Therefore, this paper aims to propose an improved multi-objective particle swarm optimization algorithm using adaptive Cauchy mutation and improved crowding distance.Design/methodology/approachIn this paper, the proposed algorithm uses adaptive Cauchy mutation and improved crowding distance to perturb the particles in the population in a dynamic way in order to help the particles trapped in the local optimization jump out of it which improves the convergence performance consequently.FindingsIn order to solve the problems of uneven distribution and poor diversity in the Pareto front of multi-objective particle swarm optimization algorithm, this paper uses adaptive Cauchy mutation and improved crowding distance to help the particles trapped in the local optimization jump out of the local optimization. Experimental results show that the proposed algorithm has obvious advantages in convergence performance for nine benchmark functions compared with other multi-objective optimization algorithms.Originality/valueIn order to help the particles trapped in the local optimization jump out of the local optimization which improves the convergence performance consequently, this paper proposes an improved multi-objective particle swarm optimization algorithm using adaptive Cauchy mutation and improved crowding distance.
Lean supply chain management and Industry 4.0: a systematic literature review
Authors: Rossini Matteo , Powell Daryl John , Kundu Kaustav 
Published: August 2022

Purpose
Even though the integration of Lean Supply Chain Management (LSCM) and Industry 4.0 (I4.0) technologies is relatively recent, it has been receiving a lot of attention. Partly because it is a recent field of practise and research and partly because the number of works developed in this field has grown rapidly, it is important to frequently update the perspectives on this field of investigation. Thus, this study aims to review the integration between LSCM and I4.0 analysing relationship at operative, tactical and strategic levels.

Design/methodology/approach
Systematic literature review was conducted to identify and explain the integration of LSCM and I4.0 from scientific sources that were published before March 2021.

Findings
The analysis of the literature revealed the level of integration of LSCM and I4.0 is present at different managerial levels. Moreover, when the integration is detailed at different managerial levels, it appears that LSCM paves the way for the adoption of I4.0 at a strategic level, while I4.0 technologies promise to enhance LSCM practices at the operational level.

Research limitations/implications
The main contribution of this study is the framework which shows that LSCM paves the way for the adoption of I4.0 at a strategic level, while I4.0 technologies promise to enhance LSCM practices at the operational level.

Originality/value
This study develops a new perspective of the articles published under the thematic of LSCM and I4.0. Additionally, it proposes a framework of analysis that can be used by future researchers. Finally, it shows the most recent implementations of LSCM and I4.0, exposing the current trends, improvements and also the main gaps.
Capturing cross-border logistics for analysis and improvement
Authors: Bandaranayake Namal , Kiridena Senevi , Kulatunga Asela K. 
Published: August 2022

Purpose
Achieving swift and even flow of cargo through the border, the ultimate objective of cross-border logistics (CBL) requires the close coordination and collaboration of a multitude of stakeholders, as well as optimally configured systems. To achieve and sustain competitiveness in a dynamic international trade environment, CBL processes must undergo periodic analysis, improvement and optimization. This study aims to develop a modelling framework to capture CBL processes for analysis and improvement.

Design/methodology/approach
Relying on the extant literature, a meta-model is developed incorporating significant perspectives required to model CBL processes. Popular process modelling notations are evaluated against the meta-model and their ease of comprehension is also evaluated. The selected notation through evalution is augmented with addendums for a comprehensive depiction of CBL processes.

Findings
The capacity of role activity diagrams (RADs) to depict all perspectives, including interactions in a single diagram, makes them particularly suitable for modelling CBL processes. RADs have been complemented with physical flow diagrams and methods to capture temporal dimension, enabling a comprehensive view of CBL processes laying the foundation for insightful analysis.

Research limitations/implications
The meta-model developed in this paper paves the way to develop an analysis framework which requires further research.

Originality/value
The lack of well-accepted modelling notations for studying CBL processes prompts researchers to search and adapt different formalisms. This study has filled this gap by proposing a comprehensive modelling framework able to capture CBL processes at different granularities in rich detail. Not only does the developed meta-model aid in selecting the notation, it is also useful in analysing the constituent elements of CBL processes.
Coaching to build commitment for generating performance improvement
Authors: Lyons Paul , Bandura Randall P. 
Published: August 2022

PurposeThe paper is practitioner-focused with a manager-as-coach applying experiential learning to aid an employee's learning and improve performance as well as helping to build employee commitment to both the job and organization. Reciprocity is intended as the learning and commitment of both the employee and manager are enhanced.Design/methodology/approachAs a conceptual, not empirical, paper, the present study aimed at guiding manager behavior the methodology aims to examine the areas of manager-as-coach, efficacy of coaching, theoretical grounding of employee commitment and experiential learning processes. Study and coordination of information in these areas provided support for a detailed action plan for practical application.FindingsIt is possible to create a research results–driven practical guide/action plan for managers. The guide incorporates manager skills and commitment theory (investment) along with an experiential learning approach aimed at improving employee growth and building commitment.Practical implicationsThere is clear evidence in empirical research that employee commitment positively relates to work performance, job engagement and job retention. This paper applies investment theory to build commitment as it is based on actual inputs and efforts of the employee.Originality/valueThere is very little research currently available that directly addresses manager-as-coach deliberately working to increase or build employee commitment to job, organization or the manager her/himself. This essay aims directly at how commitment may be enhanced.
Assessing the resilience of organizations in the context of uncertainty
Authors: Bartuseviciene Ilona , Rakauskiene Ona Grazhina , Valackiene Asta 
Published: August 2022

Purpose
The purpose of this paper is to define the main dimensions/aspects of resilient organizations and propose a benchmarking model to assess an organization's resilience in the context of uncertainty.

Design/methodology/approach
The systematic literature review method was applied to collect and synthesize relevant scientific literature from 2001 to 2022 to construct and validate a methodological approach.

Findings
This paper proposes a conceptualization of organizational resilience as the capacity of an organization to first remain stable; then prepare, absorb and recover after a crisis; adapt to the new environment; and, finally, use the developed experience to enhance the capacity for transformation, playing an essential role for coping with uncertainty.

Research limitations/implications
Resilience is recognized as organizations’ ability to adapt to the new conditions, influenced by the crises. Moreover, it supports the recognition of the learning phase that allows for growth by constantly learning from emerging situations and gaining unique experiences. These observations allow us to suggest the twofold approach. The first distinguishes the resilience as organizations’ ability to adapt to the changing environment, that is, bounce back, while the second highlights the importance of learning capacity, that is, bounce forward.

Practical implications
The authors suggest to adopt the conceptual framework of the bounce forward phenomenon using the Resilient Organizations’ Resilience Benchmark Tool to assess organizational resilience. This would determine the overall resilience by identifying the links between bouncing back (preparing, absorbing, recovering and adapting) and bouncing forward (enhancing learning capacity).

Originality/value
Having reviewed the methodologies in the extant literature to evaluate organizational resilience and explored the similarities and differences between them, the authors concluded that the Resilient Organizations Resilience Benchmark Tool (2017) is the most appropriate three-dimensional tool because of its universality and comprehensive scope. These three dimensions consist of: leadership and culture; networks; and change readiness. This methodology assesses organizations' perspectives regarding resilience based on their ability to respond to and manage crises and their ability to bounce forward successfully.