bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of epidermolysis bullosa on the family and healthcare practitioners: a scoping review
Authors: Chateau Antoinette V , Blackbeard David , Aldous Colleen 
Published: May 2022

AbstractBackgroundEpidermolysis bullosa (EB) is an inherited genodermatosis that results in mucocutaneous fragility. There is a lack of data on the impact of this disease on parents. There are no studies on the impact on siblings and few on healthcare professionals in dealing with this devastating disease.MethodsA scoping review was performed using the Arksey and O'Malley and PRISMA‐ScR framework. Twenty‐seven articles were reviewed, and a data‐charting sheet was formulated.ResultsParents make great sacrifices and are resilient in caring for their sick children but are at risk of depression. Siblings play a vital role in caring for their siblings, but their needs may be overlooked because the main focus is on the sibling with EB. Healthcare professionals may suffer burnout and compassion fatigue in caring for patients and their families with EB.ConclusionComprehensive care of the family and the awareness of the challenges experienced by healthcare professionals is essential to the holistic care of a patient with EB.
Characterisations of cassava starch and poly(butylene adipate‐co‐terephthalate) blown film with silicon dioxide nanocomposites
Authors: Phothisarattana Danaya , Harnkarnsujarit Nathdanai 
Published: May 2022

SummaryFilms with high permeability are necessary for the packaging of agricultural products that respire to avoid anoxic conditions. This research developed and characterised bioplastic nanocomposite films with enhanced permeation and increased strength. Thermoplastic starch (TPS) was compounded with silicon dioxide (SiO2) and blended with poly (butylene adipate‐co‐terephthalate) (PBAT) to produce bioplastic PBAT/TPS blend films via blown‐film extrusion. Different SiO2 contents (0.5%–1%) were dispersed in the matrices, causing interaction via hydrogen bonding with the TPS phase. SiO2 at 1% significantly improved melting of the polymer blends, giving increasing amorphous ratios of the polymeric films. Microstructures and surface topography indicated voids between incompatible components and porous structures that improved permeation. Increasing SiO2 content linearly enhanced oxygen and water vapour permeability by up to 39% and 16%, respectively. Tensile strength and elongation at break increased and decreased up to 40% and 32%, respectively, indicating increased rigidity due to adding solid nanoparticles to 1%. Migration phenomena of the film components, that is molecules with diol structures and silicon compounds depended on types of simulant and microstructures that induced swelling and release of the compounds. Film permeabilities increased, thereby facilitating air and humidity flow through the packaging.
Catching a killer: Mechanisms of programmed cell death and immune activation in Amyotrophic Lateral Sclerosis
Authors: Neel Dylan V. , Basu Himanish , Gunner Georgia , Chiu Isaac M. 
Published: May 2022

AbstractIn the central nervous system (CNS), execution of programmed cell death (PCD) is crucial for proper neurodevelopment. However, aberrant activation of these pathways in adult CNS leads to neurodegenerative diseases including amyotrophic lateral sclerosis (ALS). How a cell dies is critical, as it can drive local immune activation and tissue damage. Classical apoptosis engages several mechanisms to evoke “immunologically silent” responses, whereas other forms of programmed death such as pyroptosis, necroptosis, and ferroptosis release molecules that can potentiate immune responses and inflammation. In ALS, a fatal neuromuscular disorder marked by progressive death of lower and upper motor neurons, several cell types in the CNS express machinery for multiple PCD pathways. The specific cell types engaging PCD, and ultimate mechanisms by which neuronal death occurs in ALS are not well defined. Here, we provide an overview of different PCD pathways implicated in ALS. We also examine immune activation in ALS and differentiate apoptosis from necrotic mechanisms based on downstream immunological consequences. Lastly, we highlight therapeutic strategies that target cell death pathways in the treatment of neurodegeneration and inflammation in ALS.
Visual statistical learning in deaf and hearing infants and toddlers
Authors: Monroy Claire , Yu Chen , Houston Derek 
Published: May 2022

AbstractCongenital hearing loss offers a unique opportunity to examine the role of sound in cognitive, social, and linguistic development. Children with hearing loss demonstrate atypical performance across a range of general cognitive skills. For instance, research has shown that deaf school‐age children underperform on visual statistical learning (VSL) tasks. However, the evidence for these deficits has been challenged, with mixed findings emerging in recent years. Here, we used a novel approach to examine VSL in the action domain early in development. We compared learning between deaf and hearing infants, prior to cochlear implantation (pre‐CI), and a group of toddlers post implantation (post‐CI). Findings revealed a significant difference between deaf and hearing infants pre‐CI, with evidence for learning only in the hearing infants. However, there were no significant group differences between deaf and hearing toddlers post‐CI, with both groups demonstrating learning. Further, VSL performance was positively correlated with language scores for the deaf toddlers, adding to the body of evidence suggesting that statistical learning is associated with language abilities. We discuss these findings in the context of previous evidence for group differences in VSL skills, and the role that auditory experiences play in infant cognitive development.
Algorithms as co‐workers: Human algorithm role interactions in algorithmic work
Authors: Tarafdar Monideepa , Page Xinru , Marabelli Marco 
Published: May 2022

AbstractIn algorithmic work, algorithms execute operational and management tasks such as work allocation, task tracking and performance evaluation. Humans and algorithms interact with one another to accomplish work so that the algorithm takes on the role of a co‐worker. Human–algorithm interactions are characterised by problematic issues such as absence of mutually co‐constructed dialogue, lack of transparency regarding how algorithmic outputs are generated, and difficulty of over‐riding algorithmic directive – conditions that create lack of clarity for the human worker. This article examines human–algorithm role interactions in algorithmic work. Drawing on the theoretical framing of organisational roles, we theorise on the algorithm as role sender and the human as the role taker. We explain how the algorithm is a multi‐role sender with entangled roles, while the human as role taker experiences algorithm‐driven role conflict and role ambiguity. Further, while the algorithm records all of the human's task actions, it is ignorant of the human's cognitive reactions – it undergoes what we conceptualise as ‘broken loop learning’. The empirical context of our study is algorithm‐driven taxi driving (in the United States) exemplified by companies such as Uber. We draw from data that include interviews with 15 Uber drivers, a netnographic study of 1700 discussion threads among Uber drivers from two popular online forums, and analysis of Uber's web pages. Implications for IS scholarship, practice and policy are discussed.
Creativity and the Trauma of COVID‐19: How do Foundation Level Art and Design Students Navigate a Liminal Journey during a Pandemic?
Authors: Robertson Elaine , Thomas Judy , Bailey Mark 
Published: May 2022

AbstractThis article explores the impact of COVID‐19 on the physical learning spaces of art and design students to consider how this has informed and influenced the creative process, emotional resilience and engagement with learning during this difficult year of restrictions. More specifically, it draws on the experiences of students in a Foundation Art and Design programme in a Further Education college in the North of England as a case study. As a transitional year between Further Education (FE) and Higher Education (HE), this programme is designed to be transformative in terms of theoretical knowledge, practical skills and shaping student identities through ‘becoming’ creative practitioners. Concepts of liminality and liminal spaces provide a lens through which to offer an account of the nature and scope of these transformative experiences over the past year. As an accidental ethnography (Levitan et al. 2017), aspects discussed suggest that whilst COVID‐19 had a significant negative impact on the experiences and progression of this cohort of students, there have also been many positive outcomes suggesting that this particular programme has maintained its transformative ambitions.
A systematic review: Unfinished nursing care and the impact on the nurse outcomes of job satisfaction, burnout, intention‐to‐leave and turnover
Authors: Stemmer Renate , Bassi Erika , Ezra Sigal , Harvey Clare , Jojo Natasha , Meyer Gabriele , Özsaban Aysel , Paterson Catherine , Shifaza Fathimath , Turner Murray B. , Bail Kasia 
Published: May 2022

AbstractAimTo investigate the association of unfinished nursing care on nurse outcomes.DesignSystematic review in line with National Institute for Health and Care Excellence guideline.Data sourcesCINAHL, the Cochrane Library, Embase, Medline, ProQuest and Scopus databases were searched up until April 2020.Review MethodsTwo independent reviewers conducted each stage of the review process: screening eligibility, quality appraisal using Mixed Methods Appraisal Tool; and data extraction. Narrative synthesis compared measurements and outcomes.ResultsNine hospital studies were included, and all but one were cross‐sectional multicentre studies with a variety of sampling sizes (136–4169 nurses). Studies had low internal validity implying a high risk of bias. There was also a high potential for bias due to non‐response. Only one study explicitly sought to examine nurse outcomes as a primary dependent variable, as most included nurse outcomes as mediating variables. Of the available data, unfinished nursing care was associated with: reduced job satisfaction (5/7 studies); burnout (1/3); and intention‐to‐leave (2/2). No association was found with turnover (2/2).ConclusionUnfinished nursing care remains a plausible mediator of negative nurse outcomes, but research is limited to single‐country studies and self‐reported outcome measures. Given challenges in the sector for nurse satisfaction, recruitment and retention, future research needs to focus on nurse outcomes as a specific aim of inquiry in relation to unfinished nursing care.ImpactUnfinished nursing care has previously been demonstrated to be associated with staffing, education and work environments, with negative associations with patient outcomes (patient satisfaction, medication errors, infections, incidents and readmissions). This study offers new evidence that the impact of unfinished nursing care on nurses is under investigated. Policymakers can prioritize the funding of robust observational studies and quasi‐experimental studies with a primary aim to understand the impact of unfinished nursing care on nurse outcomes to better inform health workforce sustainability.
A landscape‐level analysis of bird taxonomic, functional and phylogenetic β‐diversity in habitat island systems
Authors: Zeng Chi , Li Wande , Ding Ping , Peng Yu , Wu Lingbing , Si Xingfeng 
Published: May 2022

AbstractAimHow β‐diversity patterns are shaped by landscape‐level processes remains unclear across habitat island systems. Here we assessed landscape‐level bird β‐diversity in habitat island systems and aimed to (1) evaluate the relative contribution of turnover (βSIM) and nestedness‐resultant (βSNE) components to multisite β‐diversity (βSOR) from taxonomic, functional and phylogenetic dimensions; (2) examine the influence of climate factors and system characteristics in shaping landscape‐level patterns of β‐diversity measures; and (3) study how β‐diversity patterns of bird communities vary with the spatial extents of island systems.LocationGlobal.TaxonBirds.MethodsWe compiled bird data in 22 habitat island systems from literature and classified these island systems into small and large spatial scales. We partitioned βSOR into βSIM and βSNE from three dimensions for each system and calculated standardized functional and phylogenetic β‐diversity measures. We assessed the effects of climate factors and system characteristics on observed and standardized β‐diversity measures by multiple linear models for both small and large systems.ResultsWe found that the dominant role of βSIM to βSOR in habitat island systems was pervasive. However, the best explanatory variables were not consistent across systems, which depended on the β‐diversity components, diversity dimensions and spatial extent of habitat island systems. In general, climate factors acted as the main drivers of bird communities across small and large systems, whereas system characteristics played minor roles.Main conclusionsSpatial turnover dominated overall bird β‐diversity in most habitat island systems. Our results imply the roles of niche‐based assembly processes through the interplay among differential functional traits and phylogenetic distances of species, climate factors and system characteristics as well as spatial extent in driving bird communities across multiple habitat island systems at a landscape level. This study offers a better understanding of the processes underlying macroecological patterns of isolated biological communities across habitat island systems.
Positive maternal mental health during pregnancy and mental and behavioral disorders in children: A prospective pregnancy cohort study
Authors: Lähdepuro Anna , Lahti‐Pulkkinen Marius , Pyhälä Riikka , Tuovinen Soile , Lahti Jari , Heinonen Kati , Laivuori Hannele , Villa Pia M. , Reynolds Rebecca M. , Kajantie Eero , Girchenko Polina , Räikkönen Katri 
Published: May 2022

BackgroundThe role of positive maternal mental health during pregnancy in child mental health remains largely unknown. We investigated whether positive maternal mental health during pregnancy is associated with lower hazards of mental and behavioral disorders in children and mitigates the adverse effects of negative maternal mental health.MethodsAmong 3,378 mother–child dyads of the Prediction and Prevention of Preeclampsia and Intrauterine Growth Restriction study, mothers reported their positive mental health biweekly throughout pregnancy with the Positive and Negative Affect Schedule, the Spielberger State Anxiety Inventory Curiosity scale, and a visual analogue scale for social support, and negative mental health with the Center for Epidemiologic Studies Depression Scale. We extracted data on their mental and behavioral disorder diagnoses from a nationwide medical register. This register provided data on their children’s mental and behavioral disorder diagnoses as well, from birth until 8.4−12.8 (Median = 10.2, Interquartile Range 9.7−10.8) years of age.ResultsA positive maternal mental health composite score during pregnancy was associated with a lower hazard of any mental and behavioral disorder among all children [Hazard Ratio (HR) = 0.79, 95% Confidence Interval (CI) 0.71 − 0.87] and among children of mothers experiencing clinically relevant depressive symptoms during pregnancy [HR = 0.80, 95%CI 0.64 − 1.00] and/or mental and behavioral disorders before or during pregnancy [HR = 0.69, 95%CI 0.55−0.86]. These associations were independent of covariates.ConclusionsChildren whose mothers had more positive mental health during pregnancy were less likely to develop mental and behavioral disorders. Protective effects were seen also among children of mothers facing mental health adversities before or during pregnancy.
Concomitant treatment with insulin and sodium–glucose cotransporter 2 inhibitors was associated with the renal composite outcome in Japanese patients with type 2 diabetes and chronic kidney disease: A propensity score‐matched analysis
Authors: Toyoda Masao , Saito Nobumichi , Kimura Moritsugu , Hatori Nobuo , Tamura Kouichi , Miyakawa Masaaki , Sato Kazuyoshi , Kanamori Akira , Kobayashi Kazuo 
Published: May 2022

ABSTRACTAims/IntroductionWe previously reported that sodium–glucose cotransporter 2 inhibitor (SGLT2i) treatment was associated with an improvement of the albumin‐to‐creatinine ratio in Japanese patients with type 2 diabetes mellitus and chronic kidney disease. The present study clarified how concomitant insulin treatment (IT) with SGLT2i therapy influences the renal composite outcome (RCO).Materials and MethodsWe retrospectively evaluated 624 Japanese patients with type 2 diabetes mellitus and chronic kidney disease who underwent SGLT2i treatment. The renal composite outcome was set as progression of the stage of albuminuria or a ≥15% decrease in the estimated glomerular filtration rate per year. We developed a cohort model of patients managed with and without IT (Ins [+], Ins [−]) using propensity score matching methods. Furthermore, all patients in our study population were stratified into quintiles according to their propensity score.ResultsThe incidence of the RCO was in Ins (+) patients significantly higher than that in Ins (−) (P = 0.033). The estimated hazard ratio for the RCO was 1.55 (P = 0.035) in Ins (+) patients. The change in the estimated glomerular filtration rate and albumin‐to‐creatinine ratio in the groups was not statistically significant. The analysis, which was based on the quintiles, showed a statistically significant difference between the Ins (+) and Ins (−) groups (P = 0.01); the odds ratio for the RCO in patients managed with IT was 2.20 (P = 0.01).ConclusionsConcomitant administration of IT with SGLT2is influenced the RCO in Japanese patients with type 2 diabetes mellitus and chronic kidney disease. We might need to consider the influence of concomitant agents on the renoprotective effects of SGLT2i therapy.
Severe aortic stenosis during leptin replacement therapy in a patient with generalized lipodystrophy‐associated progeroid syndrome due to an LMNA variant: A case report
Authors: Sasako Takayoshi , Kadowaki Hiroko , Fujiwara Takayuki , Kodera Satoshi , Komuro Issei , Kadowaki Takashi , Yamauchi Toshimasa 
Published: May 2022

ABSTRACTLeptin replacement therapy (LRT) has drastically improved the prognosis of patients with lipodystrophy, but pro‐inflammatory properties of leptin could become evident in the long term. Here, we report a 30‐year‐old Japanese woman with generalized lipodystrophy‐associated progeroid syndrome due to a heterozygous LMNA variant (c.29C > T; p.T10I), who was diagnosed with severe aortic stenosis (AS) after more than a decade of LRT, which required transcatheter aortic valve implantation. Given her marked hypoadiponectinemia and the LMNA variant, our patient might have been susceptible to progeria‐associated disorders, including aortic stenosis, which could have been exaggerated by the prolonged ‘imbalanced adipokines’ caused by LRT between pro‐inflammatory leptin and anti‐inflammatory adiponectin. Thus, long‐term LRT could be associated with AS in patients with the LMNA variant to cause generalized lipodystrophy‐associated progeroid syndrome and hypoadiponectinemia.
Plasma cytokines during pregnancy provide insight into the risk of diabetes in the gestational diabetes risk group
Authors: Tagoma Aili , Haller‐Kikkatalo Kadri , Oras Astrid , Roos Kristine , Kirss Anne , Uibo Raivo 
Published: May 2022

ABSTRACTAims/IntroductionGestational diabetes (GDM) is characterized by low‐grade systemic inflammation, which manifests as changes in the levels of cytokines in the blood. We aimed to investigate plasma immune mediators during gestational weeks 23–28 in 213 women at risk for GDM, and to find associations between GDM and its complications.Materials and MethodsWe quantified the levels of adipokines: adiponectin, leptin, plasminogen activator inhibitor‐1 and resistin; chemokines: C‐C motif chemokine ligand 2 (CCL2), CCL4, C‐X‐C motif chemokine ligand 8 (CXCL8) and CXCL10; and cytokines: granulocyte‐macrophage colony‐stimulating factor, interferon‐γ, interleukin (IL)‐1β, soluble (s)IL‐1RI, IL‐2, sIL‐2Ra, IL‐4, IL‐5, IL‐6, IL‐7, IL‐10, IL‐12(p70), IL‐13, IL‐15, IL‐17A, IL‐17F, IL‐21, IL‐22, IL‐23, IL‐27, transforming growth factor (TGF)‐β1, TGF‐β2, TGF‐β3, tumor necrosis factor‐α and soluble tumor necrosis factor receptor 2 using the Milliplex®MAP Magnetic Bead assay on Luminex®200™, and compared the results with clinical data from pregnancy and post‐partum follow up.ResultsLower levels of adiponectin and higher levels of CCL2 (Wilcoxon test, P = 3.4E‐03 and P = 0.03, respectively) were found in women with GDM. IL‐27 levels were associated with lower odds of GDM (adjusted logistic regression 0.90, P = 2.4E‐03), and showed a risk association with glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 1.13, P = 2.8E‐03). Similarly, higher IL‐22 levels increased the odds of glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 4.23, P = 0.04). TGF‐β1 was associated with post‐partum fasting glucose levels, and CCL4 with post‐partum C‐peptide levels (linear regression, P = 0.04 and P = 0.01, respectively). Women who developed pregnancy complications had higher levels of CXCL10 and CCL4 (linear regression, P = 7.0E‐04 and P = 0.01, respectively).ConclusionsPlasma adiponectin and CCL2 concentrations distinguish women with GDM. IL‐27 and IL‐22 levels might select women with an autoimmune reaction, whereas increased TGF‐β1 and CCL4 are associated with post‐partum glucose and insulin metabolism.
4‐allylanisole as a lure adjuvant for Dendroctonus frontalis (Coleoptera: Curculionidae: Scolytinae) and two associated beetles
Authors: Sullivan Brian T. , Munro Holly L. , Shepherd William P. , Gandhi Kamal J. K. 
Published: May 2022

AbstractThe southern pine beetle, Dendroctonus frontalis Zimmermann (Coleoptera: Curculionidae: Scolytinae), is a major pine tree killer in North and Central America. In the southeastern USA, responses by D. frontalis to its aggregation pheromone can be substantially increased by at least three host odours: the monoterpenes alpha‐ and beta‐pinene, and the phenylpropanoid 4‐allylanisole. We executed three trapping experiments to assess the influence of 4‐allylanisole release rate on aggregation behaviour of D. frontalis and to evaluate the compound as an adjuvant for the operational monitoring lure for D. frontalis. Addition of devices releasing 4‐allylanisole at any of three rates (4.8, 48, and 500 mg/day measured at mean 21°C) increased D. frontalis attraction to a pheromone lure, both in the presence and in the absence of an alpha‐pinene lure. The increase was 5‐ to 50‐fold with a positive dose response up to the highest tested release rate of 4‐allylanisole. Attraction of an associate, the black turpentine beetle, Dendroctonus terebrans (Olivier), and a major D. frontalis predator, Thanasimus dubius (F.) (Coleoptera: Cleridae), was also significantly increased by 4‐allylanisole. A device releasing 4‐allylanisole at 0.05 g/day (at mean 23°C) increased attraction of D. frontalis to the current operational monitoring lure (which uses alpha‐ and beta‐pinene as the host odour component) approximately 4‐fold, but it did not increase attraction to a lure with turpentine as the host odour component (used in a former operational monitoring lure). Additionally, we observed none of the attraction‐inhibiting effects that were previously reported for 4‐allylanisole with D. frontalis. It is possible that the addition of 4‐allylanisole to the D. frontalis lure might allow detection of beetles at lower population densities and, if so, aid in earlier detection of populations invading the northeastern USA in response to climate change. This possibility should receive further investigation.