bluuebunny/crossref_metadata_2025 huggingface dataset:
Community diversity determines the evolution of synthetic bacterial communities under artificial selection
Authors: Raynaud Tiffany , Devers Marion , Spor Aymé , Blouin Manuel
Published: September 2021

Artificial selection can be conducted at the community level in the laboratory through a differential propagation of the communities according to their level of expression of a targeted function (i.e. community phenotype). Working with communities instead of individuals as selection units brings in additional sources of variation in the considered phenotype that can arise through changes in community structure and influence the outcome of the artificial selection. These sources of variation could even be increased by manipulating species diversity. In this study, we wanted to assess the effect of manipulating initial community richness on artificial selection efficiency, defined as the change in the targeted function over time as compared to a control treatment without artificial selection. We applied artificial selection for a high productivity on synthetic bacterial communities varying for their initial richness level (from one to 16 strains). Our results showed that, overall, the communities that were artificially selected were 16% more productive than the control communities. Community richness positively influenced community productivity and metabolic capacities and was a strong determinant of the dynamics of community evolution. Our results suggested that community richness could influence artificial selection efficiency but a convergence of the community composition might have limited the effect of diversity on artificial selection efficiency. We propose that applying artificial selection on communities varying for their diversity could allow to find communities differing for their level of expression of a function but also for their responsiveness to artificial selection, provided that their initial composition is different enough.
Exocytosis of the silicified cell wall of diatoms involves extensive membrane disintegration
Authors: de Haan Diede , Aram Lior , Peled-Zehavi Hadas , Addadi Yoseph , Ben-Joseph Oz , Rotkopf Ron , Elad Nadav , Rechav Katya , Gal Assaf
Published: September 2021

Diatoms are unicellular algae, characterized by silica cell walls. The silica elements are formed intracellularly in a membrane-bound silica deposition vesicle (SDV), and are exocytosed after completion. How diatoms maintain membrane homeostasis during the exocytosis of these large and rigid silica elements is a long-standing enigma. We studied membrane dynamics during cell wall formation and exocytosis in two model diatom species, using live-cell confocal microscopy, transmission electron microscopy and cryo-electron tomography. Our results show that during the formation of the mineral phase it is in tight association with the SDV membranes, which are forming a precise mold of the delicate geometrical patterns. During exocytosis, the distal SDV membrane and the plasma membrane gradually detach from the mineral and disintegrate in the extracellular space, without any noticeable endocytic retrieval or extracellular repurposing. Within the cell, there is no evidence for the formation of a new plasma membrane, thus the proximal SDV membrane becomes the new barrier between the cell and its environment, and assumes the role of a new plasma membrane. These results provide direct structural observations of diatom silica exocytosis, and point to an extraordinary mechanism in which membrane homeostasis is maintained by discarding, rather than recycling, significant membrane patches.

Significance Statement

Exocytosis is a fundamental process for cell metabolism, communication, and growth. During exocytosis, an intracellular vesicle fuses with the plasma membrane to release its contents. In classical exocytosis, where the exocytosed vesicles are much smaller than the cell, membrane homeostasis is maintained by recycling excess membranes back into the cell. However, an extreme case of exocytosis is the extrusion of large and rigid cell wall elements by unicellular marine algae. During this process, the cell needs to deal with a potential doubling of its plasma membrane. This study reports on a unique exocytosis mechanism used by these organisms, in which the cells cope with the geometrical and physical challenges of exocytosis by releasing a significant amount of membranes to the extracellular space.
Multivalent interactions facilitate motor-dependent protein accumulation at growing microtubule plus ends
Authors: Maan Renu , Reese Louis , Volkov Vladimir A. , King Matthew R. , van der Sluis Eli , Andrea Nemo , Evers Wiel , Jakobi Arjen J. , Dogterom Marileen
Published: September 2021

Growing microtubule ends provide platforms for the accumulation of plus-end tracking proteins that organize into comets of mixed protein composition. Using a reconstituted fission yeast system consisting of end-binding protein Mal3, kinesin Tea2 and cargo Tip1, we found that these proteins can be driven into liquid phase droplets both in solution and at microtubule ends under crowding conditions. In the absence of crowding agents, cryo-electron tomography revealed that motor-dependent comets consist of disordered networks where multivalent interactions appear to facilitate the non-stoichiometric accumulation of cargo Tip1. We dissected the contribution of two disordered protein regions in Mal3 and found that both are required for the ability to form droplets and Tip1 accumulation, while autonomous Mal3 comet formation only requires one of them. Using theoretical modeling, we explore possible mechanisms by which motor activity and multivalent interactions may lead to the observed enrichment of Tip1 at microtubule ends.
Incidental reinstatement of faces and scenes in medial temporal lobe subregions during word recognition
Authors: Schultz Heidrun , Sommer Tobias , Peters Jan
Published: September 2021

During associative retrieval, the brain reinstates neural representations that were present during encoding. The human medial temporal lobe (MTL) with its subregions hippocampus (HC), perirhinal cortex (PRC), and parahippocampal cortex (PHC) plays a central role in neural reinstatement. Previous studies have given compelling evidence for reinstatement in the MTL during explicitly instructed associative retrieval. High-confident recognition may be similarly accompanied by recollection of associated information from the encoding context. It is unclear, however, whether high-confident recognition memory elicits reinstatement in the MTL even in the absence of an explicit instruction to retrieve associated information. Here, we addressed this open question using high-resolution fMRI. Twenty-eight male and female human volunteers engaged in a recognition memory task for words that they had previously encoded together with faces and scenes. Using complementary uni- and multivariate approaches, we show that MTL subregions including the PRC, PHC, and HC differentially reinstate category-specific representations during high-confident word recognition, even though no explicit instruction to retrieve the associated category was given. This constitutes novel evidence that high-confident recognition memory is accompanied by incidental reinstatement of associated category information in MTL subregions, and supports a functional model of the MTL that emphasises content-sensitive representations during both encoding and retrieval.
Rapid Identification of Neutralizing Antibodies against SARS-CoV-2 Variants by mRNA Display
Authors: Tanaka Shiho , Anders Olson C. , Barnes Christopher O. , Higashide Wendy , Gonzalez Marcos , Taft Justin , Richardson Ashley , Martin-Fernandez Marta , Bogunovic Dusan , Gnanapragasam Priyanthi N.P. , Bjorkman Pamela J. , Spilman Patricia , Niazi Kayvan , Rabizadeh Shahrooz , Soon-Shiong Patrick
Published: September 2021

The increasing prevalence of SARS-CoV-2 variants with the ability to escape existing humoral protection conferred by previous infection and/or immunization necessitates the discovery of broadly-reactive neutralizing antibodies (nAbs). Utilizing mRNA display, we identified a set of antibodies against SARS-CoV-2 spike (S) proteins and characterized the structures of nAbs that recognized epitopes in the S1 subunit of the S glycoprotein. These structural studies revealed distinct binding modes for several antibodies, including targeting of rare cryptic epitopes in the receptor-binding domain (RBD) of S that interacts with angiotensin- converting enzyme 2 (ACE2) to initiate infection, as well as the S1 subdomain 1. A potent ACE2-blocking nAb was further engineered to sustain binding to S RBD with the E484K and L452R substitutions found in multiple SARS-CoV-2 variants. We demonstrate that mRNA display is a promising approach for the rapid identification of nAbs that can be used in combination to combat emerging SARS-CoV-2 variants.
“Understanding Cortical Arousals during Sleep from Leg Movements: A Pilot Study.”
Authors: Bansal Kanika , Garcia Javier , Feltch Cody , Earley Christopher , Robucci Ryan , Banerjee Nilanjan , Brooks Justin
Published: September 2021

Leg movements during sleep occur in patients with sleep pathology and healthy individuals. Some (but not all) leg movements during sleep are related to cortical arousals which occur without conscious awareness of the patient but have a significant effect of sleep fragmentation. Detecting leg movements during sleep that are associated with cortical arousals can provide unique insight into the nature and quality of sleep in both health and disease. In this study, a novel leg movement monitor is used in conjunction with polysomnography to better understand the relationship between leg movement and electroencephalogram (EEG) defined cortical arousals. In an approach that we call neuro-extremity analysis, graph theoretic, directed connectivity metrics are used to interrogate the causal links between neural activity measured by EEG and leg movements measured by the sensors within the leg movement monitor. The leg movement monitor in this study utilizes novel capacitive displacement sensors, and a 9-axis inertial measurement unit to characterize leg and foot movements. First, the capacitive displacement measures more closely related to EEG-defined cortical arousals than inertial measurements. Second, the neuro-extremity analysis reveals a temporally evolving connectivity pattern that is consistent with a model of cortical arousals in which brainstem dysfunction leads to near-instantaneous leg movements and a delayed, filtered signal to the cortex. Neuro-extremity analysis reveals causal relationships between EEG and leg movement sensor time-series data that may aid researchers to better understand the pathophysiology of cortical arousals associated with leg movements during sleep.
Automated satellite remote sensing of giant kelp at the Falkland Islands (Islas Malvinas)
Authors: Houskeeper Henry F. , Rosenthal Isaac S. , Cavanaugh Katherine C. , Pawlak Camille , Trouille Laura , Byrnes Jarrett E.K. , Bell Tom W. , Cavanaugh Kyle C.
Published: September 2021

Giant kelp populations support productive and diverse coastal ecosystems in both hemispheres at temperate and subpolar latitudes but are vulnerable to changing climate conditions as well as direct human impacts. Observations of giant kelp forests are spatially and temporally patchy, with disproportionate coverage in the northern hemisphere, despite the size and comparable density of southern hemisphere kelp forests. Satellite imagery enables the mapping of existing and historical giant kelp populations in understudied regions, but automating the detection of giant kelp in large satellite datasets requires approaches that are robust to the optical complexity of the shallow, nearshore environment. We present and compare two approaches for automating the detection of giant kelp in satellite datasets: one based on crowd sourcing of satellite imagery classifications and another based on a decision tree paired with a spectral unmixing algorithm (automated using Google Earth Engine). Both approaches are applied to satellite imagery (Landsat) of the Falkland Islands or Islas Malvinas (FLK), an archipelago in the southern Atlantic Ocean that supports expansive giant kelp ecosystems. The performance of each method is evaluated by comparing the automated classifications with a subset of expert-annotated imagery cumulatively spanning over 2,700km of coastline. Using the remote sensing approaches evaluated herein, we present the first continuous timeseries of giant kelp observations in the FLK region using Landsat imagery spanning over three decades. We do not detect evidence of long-term change in the FLK region, although we observe a recent decline in total canopy area from 2017-2021. Using a nitrate model based on nearby ocean state measurements obtained from ships and incorporating satellite sea surface temperature products, we find that the area of giant kelp forests in the FLK region is positively correlated with the nitrate content observed during the prior year. Our results indicate that giant kelp classifications using citizen science are approximately consistent with classifications based on a state-of-the-art automated spectral approach. Despite differences in accuracy and sensitivity, both approaches find high interannual variability that impedes the detection of potential long-term changes in giant kelp canopy area, although recent canopy area declines are notable and should continue to be monitored carefully.
Genome-wide identification and gene expression analysis of Clade A protein phosphatase 2C family genes in Brassica juncea var. tumida
Authors: Cheng Chunhong , Cai Zhaoming , Su Rongbin , Zhong Yuanmei , Chen Li , Wang Lixia , Chen Guojian , Yan Lun , Li Changman
Published: September 2021

Abscisic acid (ABA) plays crucial roles in plant response to environmental stresses and development. The clade A phosphatases (PP2Cs) play a crucial role in ABA signaling. However, little is known about the details regarding PP2Cs family genes in Brassica juncea var. tumida. Here, 20 clade A PP2Cs family genes were identified in tuber mustard genome, including BjuABI1s, BjuABI2s, BjuAHG1s, BjuAHG3s, BjuHAB1, BjuHAB2s, BjuHAI1s, BjuHAI2s and BjuHAI3. The promoters of BjuPP2Cs family genes contained various of cis-acting elements, such as ABRE, GT1GMSCAM4, ARFAT and MYB1AT. We also analyzed the expression pattern of clade A BjuPP2Cs under abiotic stresses (low temperature, NaCl and ABA) treatment, pathogen Plasmodiophora brassicae treatment and different stages of stem swollen. The results suggested that clade A BjuPP2Cs regulated tuber mustard response to P. brassicae to mediate the formation of clubroot and might play roles in stem swelling and response to abiotic stresses. This study provides valuable information for further functional investigations of clade A PP2Cs family genes in B. juncea var. tumida.
Structural Basis of Substrate Recognition by the Mitochondrial ADP/ATP Transporter
Authors: Yao Shihao , Yi Qiuzi , Ma Boyuan , Mao Xiaoting , Chen Ye , Guan Min-Xin , Cang Xiaohui
Published: September 2021

Specific import of ADP and export of ATP by ADP/ATP carrier (AAC) across the inner mitochondrial membrane are crucial for sustainable energy supply in all eukaryotes. However, mechanism for highly specific substrate recognition in the dynamic transport process remains largely elusive. Here, unguided MD simulations of 22 microseconds in total reveal that AAC in ground c-state uses the second basic patch (K91K95R187), tyrosine ladder (Y186Y190Y194), F191 and N115 in the upper region of the cavity to specifically recognize ADP and confer selectivity for ADP over ATP. Mutations of these residues in yeast AAC2 reduce ADP transport across the L. lactis membrane and induce defects in OXPHOS and ATP production in yeast. Sequence analyses also suggest that AAC and other adenine nucleotide transporters use the upper region of the cavity, rather than the central binding site to discriminate their substrates. Identification of the new site unveils the unusually high substrate specificity of AAC, and together with central binding site support early biochemical findings about existence of two substrate binding sites. Our results imply that using different sites for substrate recognition and conformational transition could be a smart strategy for transporters to cope with substrate recognition problem in the highly dynamic transport process.
Optogenetic suppression of the medial septum impairs working memory maintenance
Authors: Gemzik Zachary M. , Donahue Margaret M. , Griffin Amy L.
Published: September 2021

Spatial working memory (SWM) is the ability to encode, maintain, and retrieve spatial information over a temporal gap, and relies on a network of structures including the medial septum (MS), which provides critical input to the hippocampus. Although the role of the MS in SWM is well-established, up until recently, we have been unable to use temporally precise circuit manipulation techniques to examine the specific role of the MS in SWM, particularly to distinguish between encoding, maintenance, and retrieval. Here, we test the hypothesis that the MS supports the maintenance of spatial information over a temporal gap using precisely timed optogenetic suppression delivered during specific portions of three different tasks, two of which rely on SWM and one that does not. In experiment 1, we found that MS optogenetic suppression impaired choice accuracy of a SWM dependent conditional discrimination task. Moreover, this deficit was only observed when MS suppression was delivered during the cue-sampling, but not the cue-retrieval, portion of the trial. There was also no deficit when MS neurons were optogenetically suppressed as rats performed a SWM-independent variant of the task. In experiment 2, we tested whether MS suppression affected choice accuracy on a delayed nonmatch to position (DNMP) task when suppression was limited to the sample, delay, and choice phases of the task. We found that MS suppression delivery during the delay phase of the DNMP task, but not during the sample or choice phases, impaired choice accuracy. Our results collectively suggest that the MS plays an important role in SWM by maintaining task-relevant information over a temporal delay.
A review of data mining ontologies
Authors: Sinha Prashant Kumar , Gajbe Sagar Bhimrao , Debnath Sourav , Sahoo Subhranshubhusan , Chakraborty Kanu , Mahato Shiva Shankar
Published: September 2021

Purpose

This work provides a generic review of the existing data mining ontologies (DMOs) and also provides a base platform for ontology developers and researchers for gauging the ontologies for satisfactory coverage and usage.

Design/methodology/approach

The study uses a systematic literature review approach to identify 35 DMOs in the domain between the years 2003 and 2021. Various parameters, like purpose, design methodology, operations used, language representation, etc. are available in the literature to review ontologies. Accompanying the existing parameters, a few parameters, like semantic reasoner used, knowledge representation formalism was added and a list of 20 parameters was prepared. It was then segregated into two groups as generic parameters and core parameters to review DMOs.

Findings

It was observed that among the 35 papers under the study, 26 papers were published between the years 2006 and 2016. Larisa Soldatova, Saso Dzeroski and Pance Panov were the most productive authors of these DMO-related publications. The ontological review indicated that most of the DMOs were domain and task ontologies. Majority of ontologies were formal, modular and represented using web ontology language (OWL). The data revealed that Ontology development 101, METHONTOLOGY was the preferred design methodology, and application-based approaches were preferred for evaluation. It was also observed that around eight ontologies were accessible, and among them, three were available in ontology libraries as well. The most reused ontologies were OntoDM, BFO, OBO-RO, OBI, IAO, OntoDT, SWO and DMOP. The most preferred ontology editor was Protégé, whereas the most used semantic reasoner was Pellet. Even ontology metrics for 16 DMOs were also available.

Originality/value

This paper carries out a basic level review of DMOs employing a parametric approach, which makes this study the first of a kind for the review of DMOs.
Learning to not belong: entrepreneurial learning experiences of women high-tech entrepreneurs
Authors: Kubberød Elin , Jones Sally , Pettersen Inger Beate
Published: September 2021

Purpose

The influence of gender on high-tech entrepreneurship is of growing interest worldwide, as scholars argue that women face gendered barriers specific to this field. Although some gender-focussed research exists on the interplay of context and entrepreneurial learning, these issues have yet to be intensively studied, and the research aims to address this gap.

Design/methodology/approach

The research draws upon empirical evidence from the entrepreneurial learning of nine women opportunity entrepreneurs in the high-technology sector in Norway. It employs a qualitative phenomenological approach, with retrospective and in-depth interviews to capture and analyse the entrepreneurs' lived experiences and learning histories.

Findings

The entrepreneurs in this study highlight gendered learning experiences, leading them to make conscious and strategic decisions of both alignment and resistance to negotiate their enterprise in a highly masculine sector. Their prior learning histories of not belonging seem to underpin their preparedness for entrepreneurship in the sector. Counter to prevailing theorizing, not belonging is an enabling condition, allowing women entrepreneurs to subvert and challenge a highly masculinized context. This condition empowers them to mobilize their “otherness” to create change within their own ventures and make the rules on their own terms.

Originality/value

This interdisciplinary research deepens the understanding of the interplay between gender, entrepreneurial learning and context through the concept of belonging and extends theorization of the gendered dynamics in entrepreneurial learning histories. The paper proposes a framework of gendered entrepreneurial learning in a masculinized industry context, which highlights important implications for future gender and entrepreneurial learning research.
Utilizing DMAIC method to optimize law enforcement official willingness to respond to disasters: an exploratory study
Authors: Knezek Erick B. , Vu Thevu , Lee Jim
Published: September 2021

Purpose

The purpose of this case study is to develop a lean six sigma (LSS) define–measure–analyze–improve–control (DMAIC) procedure to optimize the willingness to respond (WTR) of Louisiana-based law enforcement officials (LEO) to disasters.

Design/methodology/approach

Various LSS tools were used to implement DMAIC to clearly define the problem of WTR, measure the self-reported WTR through a survey, perform statistical analysis on the measured data to identify significant variables to WTR, brainstorm issues and improvements with stakeholders, develop mitigation strategies, implement a pilot solution survey and develop control measures.

Findings

Louisiana LEO showed an average of 73.9% of WTR to all disasters. Seven significant variables influenced WTR, which are prior experience, transportation, duty to organization, risk to self, conflicting roles, training and incentive pay. The results from pilot solutions showed that utilizing incentive pay, adequate training and personal protective equipment (PPE) increased WTR from 0.5% up to 16%.

Originality/value

This study developed and validated a unique procedure to improve LEO WTR to disasters, providing a set of DMAIC tools and concepts that can be used by other emergency response agencies. This research was performed during the COVID-19 pandemic and after Hurricane Laura impacted Louisiana.
Emphasizing privacy and security of edge intelligence with machine learning for healthcare
Authors: Rajendran Sukumar , Mathivanan Sandeep Kumar , Jayagopal Prabhu , Purushothaman Janaki Kumar , Manickam Bernard Benjula Anbu Malar , Pandy Suganya , Sorakaya Somanathan Manivannan
Published: September 2021

Purpose

Artificial Intelligence (AI) has surpassed expectations in opening up different possibilities for machines from different walks of life. Cloud service providers are pushing. Edge computing reduces latency, improving availability and saving bandwidth.

Design/methodology/approach

The exponential growth in tensor processing unit (TPU) and graphics processing unit (GPU) combined with different types of sensors has enabled the pairing of medical technology with deep learning in providing the best patient care. A significant role of pushing and pulling data from the cloud, big data comes into play as velocity, veracity and volume of data with IoT assisting doctors in predicting the abnormalities and providing customized treatment based on the patient electronic health record (EHR).

Findings

The primary focus of edge computing is decentralizing and bringing intelligent IoT devices to provide real-time computing at the point of presence (PoP). The impact of the PoP in healthcare gains importance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of patients. The impact edge computing of the PoP in healthcare gains significance as wearable devices and mobile apps are entrusted with real-time monitoring and diagnosis of patients.

Originality/value

The utility value of sensors data improves through the Laplacian mechanism of preserved PII response to each query from the ODL. The scalability is at 50% with respect to the sensitivity and preservation of the PII values in the local ODL.
The effect of individual cultural values and phantasy on risky investment intention
Authors: Aren Selim , Nayman Hamamci Hatice
Published: September 2021

Purpose

This study aims to examine the impact of conscious and unconscious processes on risky investment intention. In this framework, the effect of individual cultural values and phantasy on risky investment intentions was investigated. In addition, the mediating role of phantasy in the relationship between individual cultural values and risky investment intentions was also analyzed.

Design/methodology/approach

Data were collected between May 14, 2020 and June 01, 2020, when our graduate students voluntarily shared the online survey link on their social networks. In this way, 1,934 people in total answered the questionnaire. To test the study model, structural equation modeling (SEM) was performed using the AMOS program. In addition, ANOVA and independent sample t-test analyses were conducted using the SPSS program to analyze whether individual cultural values and risky investment intent differ according to demographic variables.

Findings

According to the analysis results, power distance, collectivism, masculinity and long-term orientation are seen as antecedents of phantasy. While a positive relationship was found between power distance, collectivism and risky investment intention, a negative relationship was found between uncertainty avoidance and risky investment intention. Statistical findings regarding the mediating effect of phantasy on the relationship between individual cultural values and risky investment intentions were also determined. In addition to these, the differences in individual cultural values and risky investment intentions according to age, education level, sex and marital status were investigated. Individuals with the highest uncertainty avoidance level were in the 41–50 age group. Individuals with the highest long-term orientation level were individuals aged 41 and over. Individuals with the lowest risky investment intentions were in the +51 age group. Collectivism and power distance did not differ according to age. There were no differences in the relevant variables according to the level of education. Males have higher levels of risky investment intention, power distance, masculinity and collectivism than females, and married individuals have higher levels of uncertainty avoidance, masculinity and collectivism than singles.

Originality/value

This study is the first to investigate the impact of conscious and unconscious processes on risky investment intentions together. On the other hand, the number of studies empirically investigating the relationship between phantasy and risky investment intention is quite limited, and the authors have also provided the findings for the existence of a relationship between these two variables.
Adoption of the concept of person-centred care into discourse in Europe: a systematic literature review
Authors: Rosengren Kristina , Brannefors Petra , Carlstrom Eric
Published: September 2021

Purpose

This study aims to describe how person-centred care, as a concept, has been adopted into discourse in 23 European countries in relation to their healthcare systems (Beveridge, Bismarck, out of pocket).

Design/methodology/approach

A literature review inspired by the SPICE model, using both scientific studies (CINHAL, Medline, Scopus) and grey literature (Google), was conducted. A total of 1,194 documents from CINHAL (n = 139), Medline (n = 245), Scopus (n = 493) and Google (n = 317) were analysed for content and scope of person-centred care in each country. Countries were grouped based on healthcare systems.

Findings

Results from descriptive statistics (percentage, range) revealed that person-centred care was most common in the United Kingdom (n = 481, 40.3%), Sweden (n = 231, 19.3%), the Netherlands (n = 80, 6.7%), Northern Ireland (n = 79, 6.6%) and Norway (n = 61, 5.1%) compared with Poland (0.6%), Hungary (0.5%), Greece (0.4%), Latvia (0.4%) and Serbia (0%). Based on healthcare systems, seven out of ten countries with the Beveridge model used person-centred care backed by scientific literature (n = 999), as opposed to the Bismarck model, which was mostly supported by grey literature (n = 190).

Practical implications

Adoption of the concept of person-centred care into discourse requires a systematic approach at the national (politicians), regional (guidelines) and local (specific healthcare settings) levels visualised by decision-making to establish a well-integrated phenomenon in Europe.

Social implications

Evidence-based knowledge as well as national regulations regarding person-centred care are important tools to motivate the adoption of person-centred care in clinical practice. This could be expressed by decision-making at the macro (law, mission) level, which guides the meso (policies) and micro (routines) levels to adopt the scope and content of person-centred care in clinical practice. However, healthcare systems (Beveridge, Bismarck and out-of-pocket) have different structures and missions owing to ethical approaches. The quality of healthcare supported by evidence-based knowledge enables the establishment of a well-integrated phenomenon in European healthcare.

Originality/value

Our findings clarify those countries using the Beveridge healthcare model rank higher on accepting/adopting the concept of person-centered care in discourse. To adopt the concept of person-centred care in discourse requires a systematic approach at all levels in the organisation—from the national (politicians) and regional (guideline) to the local (specific healthcare settings) levels of healthcare.
Preconditions for nurses' perceived organizational support in healthcare: a qualitative explorative study
Authors: Gadolin Christian , Skyvell Nilsson Maria , Ros Axel , Törner Marianne
Published: September 2021

Purpose

The purpose of this paper is to inductively explore the context-specific preconditions for nurses' perceived organizational support (POS) in healthcare organizations.

Design/methodology/approach

A qualitative interview study was performed, based on the critical incident technique (CIT), with 24 registered nurses in different specialities of hospital care.

Findings

The nurses perceived three actors as essential for their POS: the first-line manager, the overarching organization and their college. The preconditions affecting the nurses’ perceptions of organizational support were supportive structuring and structures at work, as well as individual recognition and professional acknowledgement.

Originality/value

Previous studies of POS have mostly had a quantitative outset. In this paper, context-specific preconditions for nurses' POS are described in depth, enabled by the qualitative approach of the study. The findings may be used to guide healthcare organizations and managers aiming to foster nurses' POS, and thereby, benefit nurses' well-being and retention, as well as healthcare quality and efficiency.
A framework and method for analysis of feed-forward industrial and manufacturing lines
Authors: Koutsougeras Cris , Saadeh Mohammad , Fayed Ahmad
Published: September 2021

Purpose

This modeling facilitates the determination of control responses (or possibly reconfiguration) upon such events and the identification of which segments of the pipeline can continue to function uninterrupted. Based on this modeling, an algorithm is presented to implement the control responses and to establish this determination. In this work, the authors propose using Message Queuing Telemetry Transport (MQTT), which is an integrated method to perform the system-wide control based on message exchanging among local node controllers (agents) and the global controller (broker).

Design/methodology/approach

Complex manufacturing lines in industrial plants are designed to accomplish an overall task in an incremental mode. This typically consists of a sequence of smaller tasks organized as cascaded processing nodes with local controls, which must be coordinated and aided by a system-wide (global) controller. This work presents a logic modeling technique for such pipelines and a method for using its logic to determine the consequent effects of events where a node halts/fails on the overall operation.

Findings

The method uses a protocol for establishing communication of node events and the algorithm to determine the consequences of node events in order to produce global control directives, which are communicated back to node controllers over MQTT. The algorithm is simulated using a complex manufacturing line with arbitrary events to illustrate the sequence of events and the agents–broker message exchanging.

Originality/value

This approach (MQTT) is a relatively new concept in Cyber-Physical Systems. The proposed example of feed-forward is not new; however, for illustration purposes, it was suggested that a feed-forward be used. Future works will consider practical examples that are at the core of the manufacturing processes.
Measuring, evaluating, and documenting social marketing impact
Authors: Truong V. Dao , Dong X. Dam , Saunders Stephen Graham , Pham Quynh , Nguyen Hanh , Tran Ngoc Anh
Published: September 2021

Purpose

This paper aims to examine how social marketing intervention programmes to measure, evaluate and document social marketing impact.

Design/methodology/approach

A systematic review of 49 nutritional behaviour intervention programmes (2006–2020) was conducted. To examine the social marketing impact of the programmes, a logic model of social impact was used. The model comprises inputs (the resources used for an intervention programme), outputs (the direct products resulting from the use of resources), outcomes (short- to medium-term programme effects) and impacts (long-term programme effects on the individual, community or societal levels).

Findings

Most intervention programmes set the goal of encouraging their target audience to increase fruit and vegetable intake, choose healthy food items, drink less sugary beverages or consume low-fat diaries, while few others sought policy or systems change. Multiple criteria were used for impact evaluation (e.g. exposure and reach, changes in knowledge, awareness, attitudes, behaviours and body mass index). (Quasi) experiments were the most popular method used for impact measurement, followed by the pre-post model of impact. Positive changes were found in 33 programmes, often reported in terms of short-term outputs or outcomes. Long-term impact particularly on the broader societal level was not indicated.

Originality/value

This research offers a systematic review of how social marketing impact is measured, evaluated and documented. It also provides some guidance for social marketers on how to shift from a reductionist, behavioural outcome-focussed approach towards an “expansionist” impact approach that explicitly considers social marketing impacts on the quality of life of individuals, communities and societies.
Social entrepreneurship in SMEs: a note on three essential questions
Authors: Cortes Andres Felipe , Lee Younggeun
Published: September 2021

Purpose

This research note discusses three essential and practical questions related to social entrepreneurship and social activities in small- and medium-sized enterprises (SMEs): What motivates SMEs to undertake social activities? What are the obstacles faced by SMEs when undertaking social activities? What are the types of social activities that SMEs undertake? The article presents preliminary answers and provides research suggestions related to these questions.

Design/methodology/approach

The authors search and review articles that study social entrepreneurship and social activities of SMEs and synthesize their findings based on the three main topics of interest.

Findings

The authors synthesized findings based on their three motivating topics: motivation, obstacles and types. They extracted three primary motivations of SMEs for social activities: (1) demands and expectations from external stakeholders, (2) nonpecuniary incentives that stem from organizational values and culture and (3) anticipation of improving relevant organizational outcomes. The authors extracted two obstacles for social initiatives: (1) limited resources and knowledge and (2) lack of perceived benefits or incentives. Finally, the authors extracted two types of social activities: (1) activities that address social and ethical issues and (2) activities that address environmental concerns.

Originality/value

Pressing concerns in society have pushed numerous entrepreneurs and small business managers to create and manage businesses that aim to alleviate social and environmental problems. Accordingly, researchers have devoted some attention to how SMEs get increasingly involved with social activities and initiatives (i.e. addressing social and environmental challenges through their firms). The authors highlight existing findings and propose future research opportunities based on our three essential and motivating questions.
Empowering professional and ethical balance in digital record management
Authors: Huda Miftachul
Published: September 2021

Purpose

This paper aims to examine the professional skills and ethical values balanced to generate policies and procedures with significant guidance to give insights into systematic control of integrating simultaneous integrity between the use and maintenance in digital-based recordkeeping.

Design/methodology/approach

The investigation was conducted using keywords responsibilities engagement, professional and ethical balance, and records management. Descriptive analysis was applied with the initiative on integrating, evaluating and interpreting the findings of multiple types of research from recent grounded theory.

Findings

The finding reveals that determining the potential value of foregoing effort to provide an ultimate application guideline as a counter measure against the emerging challenges of the dynamic records management system needs to adopt appropriate professional and ethical empowerment across the procedural stage in underlying the demand and the response with the express purpose of promoting appropriate and wise usage for the sustainable positive benefit of responsibilities on recording management.

Originality/value

As a pivotal role in determining the potential value of foregoing effort as aimed in this paper, the initiative to provide an ultimate application guideline as a counter measure against the emerging challenges of the dynamic records management system needs to bring along with urging for an appropriate professional and ethical empowerment across the procedural stage proposed referring to the demand and the response with the express purpose of promoting appropriate and wise usage for the sustainable positive benefit of responsibilities on recording management.
Evaluation of the printing strategies design on the mechanical and tribological response of acrylonitrile styrene acrylate (ASA) additive manufacturing parts
Authors: Vázquez Martínez Juan Manuel , Piñero Vega David , Salguero Jorge , Batista Moises
Published: September 2021

Purpose

The evaluation of novel materials such as the acrylonitrile styrene acrylate (ASA) for tribological and mechanical conditions can provide a structural protection against the environmental and wear effects that results in the long-term integrity of the 3 D printed parts. Results of the experimental stage are intended to identify the influence of the printing conditions on the functional characteristics of ASA parts that results in variations of the friction coefficient, wear rate and tensile response. In addition, this study aims to highlight the relevance of printing parameters to avoid the use of chemical post-processing stages, increasing the performance and sustainability of the process.

Design/methodology/approach

In this research, an evaluation of the influence of printing parameters of layer thickness and temperature on the mechanical and tribological response have been carried out for ASA specimens manufactured by fused filament fabrication technology. For this purpose, a range of three different values of thickness of fused layer and three different printing temperatures were combined in the manufacturing process of tests samples. Mechanical behavior of the printed parts was evaluated by standard tensile tests, and friction forces were measured by pin-on-disk tribological tests against steel spheres.

Findings

Higher layer thickness of the printed parts shows lower resistance to tribological wear effects; in terms of friction coefficient and wear rate, this type of parts also presents lower tensile strength. It has been detected that mechanical and tribological behavior is highly related to the micro-geometrical characteristics of the printed surfaces, which can be controlled by the manufacturing parameters. Under this consideration, a reduction in the coefficient of friction near to 65% in the average value was obtained through the variation of the layer thickness of printed surfaces.

Originality/value

This research aims to fill a gap in the scientific literature about the use of specific additive manufacturing materials under dynamic contact. This paper is mainly focused on the influence of the manufacturing parameters on the tribological and mechanical behavior of a weather resistant polymer (ASA).
Project management performance of construction projects in Jordan: a comparative study of ISO 9001-certified and non-certified companies
Authors: Sweis Rateb Jalil , Jaradat Mais
Published: September 2021

Purpose

This paper aims to investigate the differences between the certified and non-certified ISO 9001 construction companies in terms of construction projects' performance in Jordan.

Design/methodology/approach

Questionnaires were distributed to certified and non-certified construction organizations. These entities consist of contractor's consultants and owner representative organizations. In total, 86 valid responses were returned. Data were analyzed using Statistical Package for the Social Sciences (SPSS) using descriptive statistic tests, namely, multivariate analysis of variance (MANOVA) and analysis of variance (ANOVA).

Findings

The results clearly showed the positive effects of ISO 9001 certification on construction projects' performance in project management performance and project success. ISO-certified organizations have higher mean score in project management leadership, staff, policies, project life cycle and key performance indicators (KPIs) but not in partnership. Moreover, an ISO-certified organization shows higher project success.

Originality/value

Due to the dearth of research conducted in this area, this research highlights the management procedures, which impact the leading entities' performance in the construction field within Jordan.
Identification of essential β‐oxidation genes and corresponding metabolites for oestrogen degradation by actinobacteria
Authors: Hsiao Tsun‐Hsien , Lee Tzong‐Huei , Chuang Meng‐Rong , Wang Po‐Hsiang , Meng Menghsiao , Horinouchi Masae , Hayashi Toshiaki , Chen Yi‐Lung , Chiang Yin‐Ru
Published: September 2021

Steroidal oestrogens (C18) are contaminants receiving increasing attention due to their endocrine‐disrupting activities at sub‐nanomolar concentrations. Although oestrogens can be eliminated through photodegradation, microbial function is critical for removing oestrogens from ecosystems devoid of sunlight exposure including activated sludge, soils and aquatic sediments. Actinobacteria were found to be key oestrogen degraders in manure‐contaminated soils and estuarine sediments. Previously, we used the actinobacterium Rhodococcus sp. strain B50 as a model microorganism to identify two oxygenase genes, aedA and aedB, involved in the activation and subsequent cleavage of the estrogenic A‐ring respectively. However, genes responsible for the downstream degradation of oestrogen A/B‐rings remained completely unknown. In this study, we employed tiered comparative transcriptomics, gene disruption experiments and mass spectrometry‐based metabolite profile analysis to identify oestrogen catabolic genes. We observed the up‐regulation of thiolase‐encoding aedF and aedK in the transcriptome of strain B50 grown with oestrone. Consistently, two downstream oestrogenic metabolites, 5‐oxo‐4‐norestrogenic acid (C17) and 2,3,4‐trinorestrogenic acid (C15), were accumulated in aedF‐ and aedK‐disrupted strain B50 cultures. Disruption of fadD3 [3aα‐H‐4α(3'‐propanoate)‐7aβ‐methylhexahydro‐1,5‐indanedione (HIP)‐coenzyme A‐ligase gene] in strain B50 resulted in apparent HIP accumulation in oestrone‐fed cultures, indicating the essential role of fadD3 in actinobacterial oestrogen degradation. In addition, we detected a unique meta‐cleavage product, 4,5‐seco‐estrogenic acid (C18), during actinobacterial oestrogen degradation. Differentiating the oestrogenic metabolite profile and degradation genes of actinobacteria and proteobacteria enables the cost‐effective and time‐saving identification of potential oestrogen degraders in various ecosystems through liquid chromatography–mass spectrometry analysis and polymerase chain reaction‐based functional assays.