bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alternative algorithms and devices in sleep apnoea diagnosis: what we know and what we expect
Authors: Penzel Thomas , Fietze Ingo , Glos Martin 
Published: September 2020

Purpose of review
Diagnosis of sleep apnoea was performed in sleep laboratories with polysomnography. This requires a room with supervision and presence of technologists and trained sleep experts. Today, clinical guidelines in most countries recommend home sleep apnoea testing with simple systems using six signals only. If criteria for signal quality, recording conditions, and patient selection are considered, then this is a reliable test with high accuracy.

Recent findings
Recently diagnostic tools for sleep apnoea diagnosis become even more simple: smartwatches and wearables with smart apps claim to diagnose sleep apnoea when these devices are tracking sleep and sleep quality as part of new consumer health checking. Alternative and new devices range from excellent diagnostic tools with high accuracy and full validation studies down to very low-quality tools which only result in random diagnostic reports. Due to the high prevalence of sleep apnoea, even a random diagnosis may match a real disorder sometimes.

Summary
Until now, there are no metrics established how to evaluate these alternative algorithms and simple devices. Proposals for evaluating smartwatches, smartphones, single-use sensors, and new algorithms are presented. New assessments may help to overcome current limitations in sleep apnoea severity metrics.

Video abstract

http://links.lww.com/COPM/A28.
Changing landscape: psychological care in the era of cystic fibrosis transmembrane conductance regulator modulators
Authors: Havermans Trudy , Duff Alistair J.A. 
Published: September 2020

Purpose of review
The current review provides an overview of key psychological issues and challenges for the cystic fibrosis (CF) transmembrane conductance regulator (CFTR) modulator era of care. It discusses research from diagnosis and beyond, to patient-team communication with a particular focus on medical trials, adherence and living with CFTR modulators.

Recent findings
The impact of the diagnosis on parents is immense and the complexity of treatment now and in the future, are a challenge for both parents and teams. Communicating digitally is starting to become daily practice for many in CF care, with coronavirus disease 2019 accelerating this process. Participating in trials has a psychological impact, but most of all the (delayed) access and timing of accessing CFTR modulators is an important theme. Adherence remains of significance, both to ‘old’ and ‘new’ treatments. Living with CF in the era of CFTR modulators is beginning to impact on patients’ quality of life, including new possibilities, opportunities and challenges.

Summary
Psychological care needs to engage and keep pace with the rapid medical changes. Some care priorities remain the same, including psychological screening and assessment, as well as psychoeducation, communication training and psychotherapy. The presence of CF psychologist in the CF clinic remains as important as ever.
Relationship of Quality of Life, Resilience, and Associated Factors Among Nursing Faculty During COVID-19
Authors: Keener Tina Antill , Hall Katherine , Wang Kesheng , Hulsey Tara , Piamjariyakul Ubolrat 
Published: September 2020

Background
The COVID-19 pandemic and subsequent social distancing guidelines greatly impacted the quality of life (QoL) of nursing faculty.

Purpose
The purpose of this study was to examine the relationship of QoL, resilience, and associated factors among nursing faculty during the COVID-19 pandemic.

Methods
In April 2020, a cross-sectional, anonymous survey was conducted with nursing faculty in a public university in rural Appalachia (n = 52). Instruments included QoL, resilience scales, work-related, and demographic variables. Descriptive, bivariate, and multiple linear regression analyses were used to analyze data. A content analysis was used to analyze an open-ended question.

Results
Resilience was the strongest variable to predict each of the QoL domains. Nursing faculty who reported better QoL were those who were able to adapt to changes and challenges mandated during the COVID-19 pandemic.

Conclusions
Evidence-based programs to build resilience and improve nursing faculty working conditions and their QoL are needed.
Treatment of Excessive Gingival Display by Using Botulinum Toxin-A Targeting Yonsei Points and Zygomatic Major Muscles
Authors: Duruel Onurcem , Ataman-Duruel Emel Tuğba , Tözüm Tolga Fikret 
Published: September 2020

Abstract
The aim of this clinical report is to present satisfying and unsatisfying treatment results of a patient with excessive gingival display (EGD) treated via botulinum toxin injections in different time points. A 22-year-old male patient referred to the Department of Periodontology with a complaint of EGD. The patient opted the treatment with botulinum toxin-A injections. During the first treatment, injections at Yonsei points were performed. After the first EGD treatment, the patient did not satisfy with his smile. The closure of gingival display was not sufficient, especially in posteriors. However, he did not demand for reinjection. Six months after the first treatment, he was advised to have 2 injection points per side including zygomatic major muscles as well as Yonsei points. Two weeks after the second treatment, the patient totally satisfied with his new smile. Yonsei point is a safe and repeatable injection point for the practitioners. However, the authors suggested injections targeting zygomatic major muscles as well as Yonsei point injections to treat the patients with mixed EGD.
Nowcasting CoVID-19 Deaths in England by Age and Region
Authors: Seaman Shaun , Samartsidis Pantelis , Kall Meaghan , De Angelis Daniela 
Published: September 2020

AbstractUnderstanding the trajectory of the daily numbers of deaths in people with CoVID-19 is essential to decisions on the response to the CoVID-19 pandemic. Estimating this trajectory from data on numbers of deaths is complicated by the delay between deaths occurring and their being reported to the authorities. In England, Public Health England receives death reports from a number of sources and the reporting delay is typically several days, but can be several weeks. Delayed reporting results in considerable uncertainty about the number of deaths that occurred on the most recent days. In this article, we estimate the number of deaths per day in each of five age strata within seven English regions. We use a Bayesian hierarchical model that involves a submodel for the number of deaths per day and a submodel for the reporting delay distribution. This model accounts for reporting-day effects and longer-term changes over time in the delay distribution. We show how the model can be fitted in a computationally efficient way when the delay distribution is same in multiple strata, e.g. over a wide range of ages.
Estimating effects of parents’ cognitive and non-cognitive skills on offspring education using polygenic scores
Authors: Demange Perline A. , Hottenga Jouke Jan , Abdellaoui Abdel , Eilertsen Espen Moen , Malanchini Margherita , Domingue Benjamin W. , de Zeeuw Eveline L. , Rimfeld Kaili , Eley Thalia C. , Boomsma Dorret I. , van Bergen Elsje , Breen Gerome , Nivard Michel G. , Cheesman Rosa 
Published: September 2020

AbstractUnderstanding how parents’ cognitive and non-cognitive skills influence offspring education is vital for educational, family and economic policy. We use genetics (GWAS-by-subtraction) to assess a latent, broad non-cognitive skills dimension. To index parental effects controlling for genetic transmission, we estimate indirect parental genetic effects of polygenic scores on childhood and adulthood educational outcomes, using siblings (N=47,459), adoptees (N=6,407), and parent-offspring trios (N=2,534) in three UK and Dutch cohorts. We find that parental cognitive and non-cognitive skills affect offspring education through their environment: on average across cohorts and designs, indirect genetic effects explain 36-40% of population polygenic score associations. However, indirect genetic effects are lower for achievement in the Dutch cohort, and for the adoption design. We identify causes of higher sibling- and trio-based estimates: prenatal indirect genetic effects, population stratification, and assortative mating. Our phenotype-agnostic, genetically sensitive approach has established overall environmental effects of parents’ skills, facilitating future mechanistic work.
Atypical TGF-β Signaling Controls Neuronal Guidance inCaenorhabditis elegans
Authors: Baltaci Oguzhan , Pedersen Mikael Egebjerg , Sherry Tessa , Handley Ava , Snieckute Goda , Haas Matilda , Archer Stuart , Pocock Roger 
Published: September 2020

AbstractCoordinated expression of cell adhesion and signaling molecules is crucial for brain development. Here, we report that theCaenorhabditis eleganstransforming growth factor-beta (TGF-β) type I receptor SMA-6 (small-6) acts independently of its cognate TGF-β type II receptor DAF-4 (dauer formation-defective-4) to control neuronal guidance. SMA-6 directs neuronal development from the epidermis through interactions with three, orphan, TGF-β ligands. Intracellular signaling downstream of SMA-6 limits expression of NLR-1, an essential Neurexin-like cell adhesion receptor, to enable neuronal guidance. Together, our data identify an atypical TGF-β-mediated regulatory mechanism to ensure correct development of the nervous system.
Competitiveness prediction for nodule colonization inSinorhizobium melilotithrough combinedin vitrotagged strain characterization and genome-wide association analysis
Authors: Bellabarba A. , Bacci G. , Decorosi F. , Aun E. , Azzarello E. , Remm M. , Giovannetti L. , Viti C. , Mengoni A. , Pini F. 
Published: September 2020

ABSTRACTAssociations between leguminous plants and symbiotic nitrogen fixing bacteria (rhizobia) are a classical example of mutualism between a eukaryotic host and a specific group of prokaryotic microbes. Though being in part species-specific, different strains may colonize the same plant symbiotic structure (nodule). It is known that some rhizobial strains are better competitor than others, but detailed analyses aimed to predict from the rhizobial genome its competitive abilities are still scarce. Here we performed a bacterial genome wide association (GWAS) analysis to define the genomic determinants related to the competitive capabilities in the model rhizobial speciesSinorhizobium meliloti. Thirteen tester strains were GFP-tagged and assayed against three reference competitor strains RFP-tagged (Rm1021, AK83 and BL225C) in aMedicago sativanodule occupancy test. Competition data in combination with strains genomic sequences were used to build-up a model for GWAS based on k-mers. The model was then trained and applied for competition capabilities prediction. The model was able to well predict the competition abilities against two partners, BL225C, Rm1021 with coefficient of determination of 0.96 and 0.84, respectively. Four strains showing the highest competition phenotypes (> 60% single strain nodule occupancy; GR4, KH35c, KH46 and SM11)versusBL225C were used to identify k-mers associated with competition. The k-mers with highest scores mapped on the symbiosis-related megaplasmid pSymA and on genes coding for transporters, proteins involved in the biosynthesis of cofactors and proteins related to metabolism (i.e. glycerol, fatty acids) suggesting that competition abilities reside in multiple genetic determinants comprising several cellular components.IMPORTANCEDecoding the competitive pattern that occurs in the rhizosphere is challenging in the study of bacterial social interaction strategies. To date, single-gene approach has been mainly used to uncover the bases of nodulation, but there is still a gap about the main features thata prioriturn out rhizobial strains able to outcompete indigenous rhizobia. Therefore, tracking down which traits make different rhizobial strains able to win the competition for plant infection over other indigenous rhizobia will allow ameliorating strain selection and consequently plant yield in sustainable agricultural production systems. We have proven that a k-mer based GWAS approach can effectively predict the competition abilities of a panel of strains, which were analyzed for their plant tissue occupancy by using double fluorescent labeling. The reported strategy could be used for detailed studies on the genomic aspects of the evolution of bacterial symbiosis and for an extensive evaluation of rhizobial inoculants.
Divergent resistance mechanisms to immunotherapy explains response in different skin cancers
Authors: Dollinger Emmanuel , Bergman Daniel , Zhou Peijie , Atwood Scott , Nie Qing 
Published: September 2020

AbstractThe advent of immune checkpoint therapy for metastatic skin cancer has greatly improved patient survival. However, most skin cancer patients are refractory to checkpoint therapy, and furthermore the differential intra-immune signaling between cancers driving the response to checkpoint therapy remains uncharacterized. When comparing the immune transcriptome in the tumor microenvironment of melanoma and basal cell carcinoma (BCC), we found that the presence of memory B cells and macrophages negatively correlate when stratifying patients by response, with memory B cells more present in responders. Inhibitory immune signaling is reduced in melanoma responders and is increased in BCC responders. We further explored the relationships between macrophages, B cells and response to checkpoint therapy by developing a stochastic differential equation model which qualitatively agrees with the data analysis. Our model predicts BCC to be more refractory to checkpoint therapy than melanoma. We show differences in tumor progression and regression that could serve as a diagnostic and predict the optimal ratio of macrophages and memory B cells for successful treatment.
Generation of human induced trophoblast stem cells
Authors: Castel Gaël , Meistermann Dimitri , Bretin Betty , Firmin Julie , Blin Justine , Loubersac Sophie , Bruneau Alexandre , Chevolleau Simon , Kilens Stephanie , Chariau Caroline , Gaignerie Anne , Francheteau Quentin , Kagawa Harunobu , Charpentier Eric , Flippe Léa , Francois - - Campion Valentin , Haider Sandra , Dietrich Bianca , Knöfler Martin , Arima Takahiro , Bourdon Jérémie , Rivron Nicolas , Masson Damien , Fournier Thierry , Okae Hiroaki , Freour Thomas , David Laurent 
Published: September 2020

SUMMARYHuman trophoblast stem cells (hTSC) derived from blastocysts and first-trimester cytotrophoblasts offer an unprecedented opportunity to study the human placenta. However, access to human embryos and first trimester placentas is limited thus preventing the establishment of hTSC from a variety of genetic backgrounds associated with placental disorders. In the present study, we show that hTSC can be generated from numerous genetic backgrounds using post-natal cells via two alternative methods: (I) somatic cell reprogramming of adult fibroblasts using the Yamanaka factors, and (II) cell fate conversion of naive and extended pluripotent stem cells. The resulted induced and converted hTSC (hiTSC/hcTSC) recapitulated hallmarks of hTSC including long-term self-renewal, expression of specific transcription factors, transcriptome-side signature, and the potential to differentiate into syncytiotrophoblast and extravillous trophoblast cells. We also clarified the developmental stage of hTSC and show that these cells resemble post-implantation NR2F2+ cytotrophoblasts (day 8-10). Altogether, hTSC lines of diverse genetics origins open the possibility to model both placental development and diseases in a dish.HighlightsReprogramming of human somatic cells to induced hTSC with OSKMConversion of naive and extended hPSC to hTSCGenetic diversity of hTSC linesDevelopmental matching of hTSC in the peri-implantation human embryo
FGF8-mediated signaling regulates tooth developmental pace during odontogenesis
Authors: Lin Chensheng , Ruan Ningsheng , Li Linjun , Chen Yibin , Hu Xiaoxiao , Chen YiPing , Hu Xuefeng , Zhang Yanding 
Published: September 2020

AbstractThe developing human and mouse teeth constitute an ideal model system to study the regulatory mechanism underlying organ growth control due to the fact that their teeth share highly conserved and well-characterized developmental processes and their developmental tempo vary notably. In the current study, we manipulated heterogenous recombination between human and mouse dental tissues and demonstrate that the dental mesenchyme dominates the tooth developmental tempo and FGF8 could be a critical player during this developmental process. Forced activation of FGF8 signaling in the dental mesenchyme of mice promoted cell proliferation, prevented cell apoptosis via p38 and perhaps PI3K-Akt intracellular signaling, and impelled the transition of the cell cycle from G1- to S-phase in the tooth germ, resulting in the slowdown of the tooth developmental pace. Our results provide compelling evidence that extrinsic signals can profoundly affect tooth developmental tempo and the dental mesenchymal FGF8 could be a pivotal factor in controlling developmental pace in a non-cell-autonomous manner during mammalian odontogenesis.
IM30 IDPs form a membrane protective carpet upon super-complex disassembly
Authors: Junglas Benedikt , Orru Roberto , Axt Amelie , Siebenaller Carmen , Steinchen Wieland , Heidrich Jennifer , Hellmich Ute A. , Hellmann Nadja , Wolf Eva , Weber Stefan A. L. , Schneider Dirk 
Published: September 2020

AbstractMembers of thephage shock protein A(PspA) family, including theinner membrane-associated protein of 30 kDa(IM30), are suggested to stabilize stressed cellular membranes. Furthermore, IM30 is essential in thylakoid membrane-containing chloroplasts and cyanobacteria, where it is involved in membrane biogenesis and/or remodeling. While it is well known that PspA and IM30 bind to membranes, the mechanism of membrane stabilization is still enigmatic. Here we report that ring-shaped IM30 super-complexes disassemble on membranes, resulting in formation of a membrane-protecting protein carpet. Upon ring dissociation, the C-terminal domain of IM30 unfolds, and the protomers self-assemble on membranes. IM30 assemblies at membranes have been observed beforein vivoand were associated to stress response in cyanobacteria and chloroplasts. These assemblies likely correspond to the here identified carpet structures. Our study defines the thus far enigmatic structural basis for the physiological function of IM30 and related proteins, including PspA, and highlights a hitherto unrecognized concept of membrane stabilization by intrinsically disordered proteins.
Plasticity, ligand conformation and enzyme action of Mycobacterium smegmatis MutT1
Authors: Raj Prateek , Karthik S. , Arif S. M. , Varshney U. , Vijayan M. 
Published: September 2020

Mycobacterium smegmatis MutT1 (MsMutT1) is a sanitation enzyme made up of an N-terminal Nudix hydrolase domain and a C-terminal domain resembling a histidine phosphatase. It has been established that the action of MutT1 on 8-oxo-dGTP, 8-oxo-GTP and diadenosine polyphosphates is modulated by intermolecular interactions. In order to further explore this and to elucidate the structural basis of its differential action on 8-oxo-NTPs and unsubstituted NTPs, the crystal structures of complexes of MsMutT1 with 8-oxo-dGTP, GMPPNP and GMPPCP have been determined. Replacement soaking was used in order to ensure that the complexes were isomorphous to one another. Analysis of the structural data led to the elucidation of a relationship between the arrangements of molecules observed in the crystals, molecular plasticity and the action of the enzyme on nucleotides. The dominant mode of arrangement involving a head-to-tail sequence predominantly leads to the generation of NDPs. The other mode of packing arrangement appears to preferentially generate NMPs. This work also provides interesting insights into the dependence of enzyme action on the conformation of the ligand. The possibility of modulating the enzyme action through differences in intermolecular interactions and ligand conformations makes MsMutT1 a versatile enzyme.
Displaced and vulnerable: a case study of “out of area” housing
Authors: Iafrati Steve 
Published: September 2020

Purpose
The purpose of study is to explore how structural problems within housing supply and the marketisation of housing for the poorest and most vulnerable households affect households and can lead to negative outcomes for some households. The research highlights the experiences of out of area (OOA) households that can be below the radar in debates regarding housing crisis.

Design/methodology/approach
The research features a case study approach focusing on the experiences of a single household, which is supplemented with an interview with the household’s local authority housing manager. Additionally, freedom of information data is used to analyse the local authority placing the household OOA. The case study is transferable and the additional evidence validates the household’s experiences.

Findings
The research finds that OOA housing can be disruptive for households and negatively affect well-being as well as facilitate social cleansing. The case study, while examining the lived experience of OOA housing, also recognises structural causes of the housing crisis within neoliberal housing policy. Furthermore, the case study recognises the positions of local authorities placing households OOA and receiving these households.

Originality/value
The research is original in using a case study to explore OOA housing. OOA housing is an under-researched area where households are not homeless but are housed in a manner detrimental to their well-being. The case study brings together interviews and freedom of information data to highlight findings currently missing in housing research.
Predicting the voluntary donation to online content creators
Authors: Zhao Futao , Yao Zhong 
Published: September 2020

PurposeThe purpose of this paper is to identify the impact factors that might influence audiences' voluntary donation to content creators on the online platforms, and to build an effective prediction model by considering both content and creator-related features.Design/methodology/approachThis study collected the real-world data of content consumption from Xueqiu.com and extracted both content and creator characteristics from the data set. The best donation prediction model based on such features was determined by evaluating four prevalent classifiers with various performance metrics. Furthermore, three feature selection methods were applied to validate the robustness of the constructed model, and then the predictability of different feature groups was examined. Finally, we conducted an interpretive analysis to identify relatively important predictors.FindingsThe experimental results show that the random classifier with all extracted features outperformed other built models and achieved excellent performance, indicating the usefulness of these factors in predicting the donations. Moreover, the predictability of content features was demonstrated to be relatively better than that of creator ones. Finally, several particularly important predictors were identified such as the number of modal particles in the article.Originality/valueThis study is among the first to investigate what factors might drive customers' voluntary donation to content contributors on social websites. Different from previous studies focusing on live video streaming, we expand the research vision by examining the donations to user-generated text content, calling for attention to other important topics in the burgeoning industry.