bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cortical cell assemblies and their underlying connectivity: anin silicostudy
Authors: Ecker András , Santander Daniela Egas , Bolaños-Puchet Sirio , Isbister James B. , Reimann Michael W. 
Published: February 2023

AbstractRecent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblies remains challenging. To address this, we developed a complementary, simulation-based approach, using a detailed, large-scale cortical network model. Using a combination of established methods we detected functional cell assemblies from the stimulus-evoked spiking activity of 186,665 neurons. We studied how the structure of synaptic connectivity underlies assembly composition, quantifying the effects of thalamic innervation, recurrent connectivity, and the spatial arrangement of synapses on den-drites. We determined that these features reduce up to 30%, 22%, and 10% of the uncertainty of a neuron belonging to an assembly. The detected assemblies were activated in a stimulus-specific sequence and were grouped based on their position in the sequence. We found that the different groups were affected to different degrees by the structural features we considered. Additionally, connectivity was more predictive of assembly membership if its direction aligned with the temporal order of assembly activation, if it originated from strongly interconnected populations, and if synapses clustered on dendritic branches. In summary, reversing Hebb’s postulate, we showed how cells that are wired together, fire together, quantifying how connectivity patterns interact to shape the emergence of assemblies. This includes a qualitative aspect of connectivity: not just the amount, but also the local structure matters; from the subcellular level in the form of dendritic clustering to the presence of specific network motifs. This connectivity-based characterization of cell assemblies creates an opportunity to study plasticity at the assembly level, and beyond strictly pairwise interactions.
Insights into intraspecific diversity of central carbon metabolites inSaccharomyces cerevisiaeduring wine fermentation
Authors: Monnin Ludovic , Nidelet Thibault , Noble Jessica , Galeote Virginie 
Published: February 2023

AbstractSaccharomyces cerevisiaeis a major actor in winemaking that converts sugars from the grape must into ethanol and CO2with outstanding efficiency. Primary metabolites produced during fermentation have a great importance in wine. While ethanol content contributes to the overall profile, other metabolites like glycerol, succinate, etc., also have significant impacts, even when present in lower concentrations.S. cerevisiaeis known for its great genetic diversity that is related to its natural or technological environment. However, its range of metabolic diversity which can be exploited to enhance wine quality depends on the pathway considered. Our experiment assessed the diversity of primary metabolites production in a set of 51S. cerevisiaestrains from various genetic backgrounds. Results pointed out great yield differences depending on the metabolite considered, with ethanol having the least variation. A negative correlation between ethanol and glycerol was observed, confirming glycerol synthesis as a suitable lever to reduce ethanol yield. Genetic groups were linked to specific metabolic yields such as α-ketoglutarate or acetate. This research highlights the potential of using natural yeast diversity in winemaking and provides detailed data set on metabolite production of well known (ethanol, glycerol, acetate) or little-known (lactate) primary metabolites production.
Insights into a viral motor: the structure of the HK97 packaging termination assembly
Authors: Hawkins Dorothy E.D.P. , Bayfield Oliver , Fung Herman K.H. , Grba Daniel N , Huet Alexis , Conway James F. , Antson Alfred A. 
Published: February 2023

ABSTRACTDouble-stranded DNA viruses utilise machinery, made of terminase proteins, to package viral DNA into the capsid. Forcosbacteriophage, a defined signal, recognised by small terminase, flanks each genome unit. Here we present the first structural data for acosvirus DNA packaging motor, assembled from the bacteriophage HK97 terminase proteins, procapsids encompassing the portal protein, and DNA containing acossite. The cryo-EM structure is consistent with the packaging termination state adopted after DNA cleavage, with DNA density within the large terminase assembly ending abruptly at the portal protein entrance. Retention of the large terminase complex after cleavage of the short DNA substrate suggests that motor dissociation from the capsid requires headful pressure, in common withpacviruses. Interestingly, the clip domain of the 12-subunit portal protein does not adhere to C12symmetry, indicating asymmetry induced by binding of the large terminase/DNA. The motor assembly is also highly asymmetric, showing a ring of 5 large terminase monomers, tilted against the portal. Variable degrees of extension between N- and C-terminal domains of individual subunits suggest a mechanism of DNA translocation driven by inter-domain contraction and relaxation.
Predicting S. aureus antimicrobial resistance with interpretable genomic space maps
Authors: Pikalyova Karina , Orlov Alexey , Horvath Dragos , Marcou Gilles , Varnek Alexandre 
Published: February 2023

AbstractIncreasing antimicrobial resistance (AMR) represents a global healthcare threat. Methods for rapid selection of optimal antibiotic treatment are urgently needed to decrease the spread of AMR and associated mortality. The use of machine learning (ML) techniques based on genomic data to predict resistance phenotypes serves as a solution for the acceleration of the clinical response prior to phenotypic testing. Nonetheless, many existing ML methods lack interpretability and do not implicitly incorporate visualization of the sequence space that can be useful for extracting insightful patterns from genomic data. Herein, we present a methodology for AMR prediction and visualization of sequence space based on the non-linear dimensionality reduction method □ generative topographic mapping (GTM). This approach applied to data on AMR of >5000 S. aureus isolates retrieved from the PATRIC database yielded GTM models with reasonable accuracy for all drugs (balanced accuracy values ≥0.75). The GTMs represent data in the form of illustrative 2D maps of the genomic space and allow for antibiotic-wise comparison of resistance phenotypes. In addition to that, the maps were found to be useful for the analysis of genetic determinants responsible for drug resistance based on the data from the PATRIC database. Overall, the GTM-based methodology is a useful tool for the illustrative exploration of the genomic sequence space and modelling AMR and can be used as a tool complementary to the existing ML methods for AMR prediction.Availabilityhttps://doi.org/10.5281/zenodo.7101559
The mechanical effect of functionalization in laminated composite material
Authors: Saracoglu Goksel , Ceritbinmez Ferhat , Özkan Vildan , Yapici Ahmet 
Published: February 2023

Purpose
This study aims to systematically compare the effect of increasing fiber–matrix interface adhesion and matrix toughness in layered composite materials.

Design/methodology/approach
Silane ((3-glycidyloxypropyl) trimethoxysilane) was applied to strengthen the fiber–matrix interface connection in e-glass/epoxy laminated composite material. Using a cationic surfactant, 0.1% multi-walled carbon nanotubes (CNTs) were added to the matrix in two different ways, by with and without chemical functionalization using the vacuum infusion method.

Findings
In the results obtained from the three-point bending test specimens, it was determined that the synergistic effect of silane application and non-functionalized CNT in the matrix was higher in terms of flexural modulus and strength values.

Practical implications
The functionalization of multi-walled CNT did not give the expected results because of reasons such as viscosity increase and agglomeration in the matrix.

Originality/value
In this study, a simple model for normalization and prediction purposes was developed, which allows the determination of the flexural modulus and un-notched flexural strength values from one test result of the notched specimen. A systematic comparison was performed by varying each parameter in the composite material.
Exploring social value and their enablers as business models for sustainable water supply projects
Authors: Ojuri Omoleye , Mills Grant R.W. , Opoku Alex 
Published: February 2023

PurposeThis work aims to understand how social value is created and delivered using community-based water supply projects. It examines social value creation given the enabling concepts – value co-creation and service ecosystems as business models for infrastructure.Design/methodology/approachInductive reasoning, including qualitative research design, was applied to two water supply projects. The qualitative stage created social value co-creation features using the purposive sampling of 72 semi-structured interviews.FindingsThe qualitative analysis features social value co-creation, which includes a sense of social unity, end-user empowerment, Behavioural transformation, and knowledge transfer. Although value destruction also emerged while examining social value co-creation, the research identifies the “red flags” and value contradictions that must be avoided.Research limitations/implicationsThe enablers of sustainable infrastructure projects should include social value, service ecosystems and value co-creation.Practical implicationsThere is a need for the government and non-governmental organisations to create enabling platforms that involve a planned dialogical communication process supporting the development and enhancement of relationships of stakeholders to maximise social value from infrastructure projects.Originality/valueThe work offers a widened perspective of social value creation and a new framework called “Social value co-creation/destruction” (SVCC/SVCD) as the business model for sustainable infrastructure projects. It is the first attempt to illustrate social value creation in construction from service ecosystems and value co-creation perspectives.
Strategic frameworks for sustainability and corporate governance in healthcare facilities; approaches to energy-efficient hospital management
Authors: Dion Helen , Evans Martin 
Published: February 2023

PurposeThe issue of energy efficiency is becoming increasingly prevalent globally due to factors such as the expansion of the population, economic growth and excessive consumption that is not sustainable in the long run. Additionally, healthcare facilities and hospitals are facing challenges as their operational costs continue to rise. The research aim is to develop strategic frameworks for managing green hospitals, towards energy efficiency and corporate governance in hospitals and healthcare facilities.Design/methodology/approachThis research employs a qualitative case study approach, with a sample of ten hospitals examined through interviews with senior management, executives and healthcare facilities managers. Relevant data was also collected from literature and analysed through critical appraisal and content analysis. The research methodology is based on the use of grounded theory research methodologies to build theories from case studies.FindingsThe research developed three integrated conceptual strategic frameworks for managing hospitals and healthcare facilities towards energy efficiency, green hospital initiatives and corporate governance. The research also outlined the concepts of green hospitals and energy efficiency management systems and best practices based on the conclusions drawn from the investigated case studies.Research limitations/implicationsThe study is limited to the initiatives and experiences of the healthcare facilities studied in the Middle East and North Africa (MENA) region.Originality/valueThe research findings, conclusions, recommendations and proposed frameworks and concepts contribute significantly to the existing body of knowledge. This research also provides recommendations for hospital managers and policymakers on how to effectively implement and manage energy efficiency initiatives in healthcare facilities.
Examining behavioural intention of using smart health care technology among females: dynamics of social influence and perceived usefulness
Authors: Gani Mohammad Osman , Rahman Muhammad Sabbir , Bag Surajit , Mia Md. Papul 
Published: February 2023

PurposeThe aim of this study is to comprehend the behavioural intention of females' perception toward smart healthcare technology. The study also examines the moderation effect of social influences between perceived smart healthcare technology and perceived usefulness among female users.Design/methodology/approachTo test the model, this study collected data from female respondents (n = 913) responses. The data were analyzed by structural equation modeling (SEM) using Smart-PLS 3.2. To complement the findings from structural equation modeling, the study also conducted a post-hoc test via experimental research design. The authors also applied a t-test and PROCESS macro analysis to re-confirm the relationship mentioned above.FindingsThe findings revealed that perceived ease of use significantly mediates the relationship between females' perceived smart healthcare technology and intention to use. The findings also show that social influence moderates between smart healthcare technology and the perceived usefulness relationship.Research limitations/implicationsSocial influence is one of the major issues while adopting smart healthcare technology because the respondents perceived that they are accustomed to the technologies related to smart health once their surroundings and social environment influence them.Originality/valueThe current study is a pioneer in the context of a developing country and unique in that it makes two contributions: it extends previous research on smart health technology adoption in the healthcare business by considering females, and it gives a broad knowledge of the female healthcare consumers from emerging nations which can be useful for developing technology-driven healthcare services strategies.
Corporate governance and anti-corruption disclosure
Authors: Previtali Pietro , Cerchiello Paola 
Published: February 2023

Purpose
In recent years, the role of environmental, social and governance (ESG) disclosure has become crucial. The aim of this paper is to study how corporate governance affects one part of ESG disclosure: anti-corruption disclosure.

Design/methodology/approach
This study examined 140 corporate social responsibility (CSR) reports from companies listed on the Italian stock markets and 50 CSR reports from other companies, then this study analysed the adoption of the Global Reporting Initiative (GRI) standard no. 205.

Findings
The results show a low level of disclosure, and that corporate governance issues matter. In particular, the analysis found a positive relationship between the presence of female and outside members, the number of board members and the level of anti-corruption disclosure.

Research limitations/implications
This study acknowledges some limitations. Firstly, the research is based on a one-year sample. Secondly, the research hypotheses are confirmed only when considered in relation to a single section of the GRI standards. Thirdly, this study has a bias towards relatively large enterprises.

Practical implications
It could be worthwhile introducing a soft regulation regarding the composition of the board of directors that requires a certain quantitative and qualitative composition.

Originality/value
To the best of the authors’ knowledge, this is one of the few studies, the first in Italy, that sheds light on anti-corruption disclosure and its determinants.
Multi-objective optimization design of novel tubular switched reluctance motor
Authors: Zhan Yiming , Chen Hao , Hua Mengyu , Liu Jinfu , He Hao , Wheeler Patrick , Li Xiaodong , Fernao Pires Vitor 
Published: February 2023

Purpose
The purpose of this paper is to achieve the multi-objective optimization design of novel tubular switched reluctance motor (TSRM).

Design/methodology/approach
First, the structure and initial dimensions of TSRM are obtained based on design criteria and requirements. Second, the sensitivity analysis rules, process and results of TSRM are performed. Third, three optimization objectives are determined by the average electromagnetic force, smoothing coefficient and copper loss ratio. The analytic hierarchy process-entropy method-a technique for order preference by similarity to an ideal solution-grey relation analysis comprehensive evaluation algorithm is used to optimize TSRM. Finally, a prototype is manufactured, a hardware platform is built and static and dynamic experimental validations are carried out.

Findings
The sensitivity analysis reveals that parameters significantly impact the performance of TSRM. The results of multi-objective optimization show that the average electromagnetic force and smoothing coefficient after optimization are better than before, and the copper loss ratio reduces slightly. The experimental and simulated results of TSRM are consistent, which verifies the accuracy of TSRM.

Research limitations/implications
In this paper, only three optimization objectives are selected in the multi-objective optimization process. To improve the performance of TSRM, the heating characteristics, such as iron loss, can be considered as the optimization objective for a more comprehensive analysis of TSRM performance.

Originality/value
A novel motor structure is designed, combining the advantages of the TSRM and the linear motor. The established sensitivity analysis rules are scientific and suitable for the effects of various parameters on motor performance. The proposed multi-objective optimization algorithm is a comprehensive evaluation algorithm. It considers subjective weight and objective weight and fully uses the original data and the relational degree between the optimization objectives.
The United States Air Force pilot diversity dilemma
Authors: Russell Brandon Robert 
Published: February 2023

PurposeThe paper aims to examine literature on the issues of the pilot shortage in the United States Air Force and the demographic diversity dilemma within the United States Air Force pilot community and how it relates to the National Defense Strategy. In addition, there is an examination of current initiatives designed to combat these issues.Design/methodology/approachThe paper opted for an exploratory review of 90 sources from 2012 to 2023 to examine the pilot shortage and pilot diversity issues within the United States Air Force. Three theories, the theory of generative interactions, the theory of cognitive diversity and the identity theory, were examined in relation to the barriers to the pilot diversity issue.FindingsThe paper provides emergent insights from the literature into the growing pilot shortage and diversity disparity found within the United States Air Force pilot community. These issues were associated with many barriers, including geographic disparity, socioeconomic status, culture, education, mentorship and life balance.Research limitations/implicationsThe current initiatives examined are new and, as such, warrant future research. In particular, what are the long-term projections for the youth flight programs? An examination of the effectiveness of improving the pilot shortage and pilot diversity within the Air Force should be further scrutinized in the coming years as new cadets enter pilot training after accession.Originality/valueThis paper highlights a need to further study the effectiveness of youth flight programs and other United States Air Force initiatives in improving pilot numbers and diversity.
Managing managerial coaching: the role of stakeholders
Authors: Carvalho Charles , Kurian Prasad Oommen , Carvalho Sheldon , Carvalho Fallan Kirby 
Published: February 2023

Purpose
The purpose of this paper is to discuss several obstacles that can reduce the effectiveness of managerial coaching. Furthermore, the paper highlights the role played by various stakeholders [i.e. the organization, senior leaders, the human resources (HR) function and managers] in overcoming or reducing the potency of such obstacles.

Design/methodology/approach
The views presented here have been derived from the authors’ professional experience in managerial coaching and a review of the literature on managerial coaching.

Findings
The authors discuss six common obstacles to effective managerial coaching: time for coaching, willingness to coach, ability to coach, employees’ ability and willingness, societal expectations and the intrusion of technology. They describe the critical role of various stakeholders (i.e. the organization, senior leaders, the HR function and line managers) in overcoming or mitigating the impact of such obstacles, thus contributing to effective managerial coaching.

Originality/value
A discussion of the obstacles to effective managerial coaching and the role of stakeholders in managerial coaching is valuable for organizations that seek to enhance the performance of employees through managerial coaching.
Government influence on logistics and supply chain innovations: assessing implications for firm performance and societal impact in an emerging economy
Authors: Baah Charles , Agyabeng-Mensah Yaw , Afum Ebenezer , Acquah Innocent Senyo Kwasi , Essel Dacosta 
Published: February 2023

PurposeSignificant unexplored research gaps exist in relation to assessing how governments influence innovations in the logistics and supply chains of SMEs to mitigate risks. This study emphasizes the impacts of regulatory coercion and government subsidization on logistics and supply chain innovations and the corresponding effect of logistics and supply chain innovations on financial performance, logistics and supply chain robustness, green competitiveness, social and environmental responsibilities.Design/methodology/approachUsing a quantitative approach, partial least square structural equation modeling and a survey research design, data were collected and analyzed on 210 logistics and manufacturing firms.FindingsThe results support the fundamentals of the stakeholder theory and natural resources-based view (NRBV) regarding the positive impacts of regulatory coercion and government subsidization on logistics and supply chain innovations. Furthermore, logistics and supply chain innovations significantly influenced firm performance (financial performance, logistics and supply chain robustness and green competitiveness) and societal impact (social and environmental responsibilities). Particularly, while logistics and supply chain innovations had insignificant influence on social and environmental responsibilities, the effects of logistics and supply chain robustness were significant.Originality/valueThe study presents empirical findings on the impact of government influences on logistics and supply chain management and the corresponding implications for firms and society. Thus, this study contributes to corporate social responsibility (CSR) and logistics and supply chain literature and provides guidance for policymakers, industry players, scholars and practitioners.