bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dependable Algorithm for Visualizing Snoring Duration through Acoustic Analysis
Authors: Kao Hsueh-Hsin , Lin Yen-Chang , Kao Yee-Hsin , Ho Madan , Yu Hsiao-Chen , Wang Chun-Lung , Chiang Jui-Kun 
Published: May 2021

AbstractBackgroundSnoring is a nuisance for the bed partners of people who snore and is also associated with chronic diseases. Estimating the snoring duration from a whole-night-sleep period is challenging. The authors present a dependable algorithm for visualizing snoring durations through acoustic analysis.MethodBoth instruments (Sony digital recorder and smartphone’s SnoreClock app) were placed within 30 cm from the examinee’s head during the sleep period. Subsequently, spectrograms were plotted based on audio files recorded from Sony recorders. The authors developed an algorithm to validate snoring durations through visualization of typical snoring segments.ResultsIn total, 37 snoring recordings obtained from six individuals were analyzed. The mean age of the participants was 44.6 ± 9.9 years. A 3-s segment demonstrated the typical dominant frequency bands and amplitude waves of two snores. Every recorded file was tailored to a regular 600-s segment and plotted. Visualization revealed that the typical features of the clustered snores in the amplitude domains were near-isometric spikes (most had an ascending–descending trend). The recorded snores exhibited one or more visibly fixed frequency bands. Intervals were noted between the snoring clusters and were incorporated into the whole-night snoring calculation. The correlative coefficients of snoring rates of digitally recorded files examined by Examiners A and B were higher (0.865,p< 0.001) than those with SnoreClock app (0.757,p< 0.001; 0.787,p< 0.001, respectively).ConclusionA dependable algorithm with high reproducibility was developed for visualizing snoring durations.
Identifiability analysis for models of the translation kinetics after mRNA transfection
Authors: Pieschner Susanne , Hasenauer Jan , Fuchs Christiane 
Published: May 2021

AbstractMechanistic models are a powerful tool to gain insights into biological processes. The parameters of such models, e.g. kinetic rate constants, usually cannot be measured directly but need to be inferred from experimental data. In this article, we study dynamical models of the translation kinetics after mRNA transfection and analyze their parameter identifiability. Previous studies have considered ordinary differential equation (ODE) models of the process, and here we formulate a stochastic differential equation (SDE) model. For both model types, we consider structural identifiability based on the model equations and practical identifiability based on simulated as well as experimental data and find that the SDE model provides better parameter identifiability than the ODE model. Moreover, our analysis shows that even for those parameters of the ODE model that are considered to be identifiable, the obtained estimates are sometimes unreliable. Overall, our study clearly demonstrates the relevance of considering different modeling approaches and that stochastic models can provide more reliable and informative results.
Peripheral neuropathy linked mRNA export factor GANP reshapes gene regulation in human motor neurons
Authors: Woldegebriel Rosa , Kvist Jouni , White Matthew , Sinkko Matilda , Hänninen Satu , Sainio Markus T , Torregrosa-Munumer Rubén , Harjuhaahto Sandra , Huber Nadine , Herukka Sanna-Kaisa , Haapasalo Annakaisa , Carpen Olli , Bassett Andrew , Ylikallio Emil , Sreedharan Jemeen , Tyynismaa Henna 
Published: May 2021

SUMMARYLoss-of-function of the mRNA export protein GANP (MCM3AP gene) cause early-onset sensorimotor neuropathy, characterised by axonal degeneration in long peripheral nerves. GANP functions as a scaffold at nuclear pore complexes, contributing to selective nuclear export of mRNAs. Here, we aimed to identify motor neuron specific transcripts that are regulated by GANP and may be limiting for local protein synthesis in motor neuron axons. We compared motor neurons with a gene edited mutation in the Sac3 mRNA binding domain of GANP to isogenic controls. We also examined patient-derived motor neurons. RNA sequencing of motor neurons as well as nuclear and axonal subcompartments showed that mutant GANP had a profound effect on motor neuron transcriptomes, with alterations in nearly 40 percent of all expressed genes and broad changes in splicing. Expression changes in multiple genes critical for neuronal functions, combined with compensatory upregulation of protein synthesis and early-stage metabolic stress genes, indicated that RNA metabolism was abnormal in GANP-deficient motor neurons. Surprisingly, limited evidence was found for large-scale nuclear retention of mRNA. This first study of neuropathy-linked GANP defects in human motor neurons shows that GANP has a wide gene regulatory role in a disease-relevant cell type that requires long-distance mRNA transport.
A transcriptomics-guided drug target discovery strategy identifies novel receptor ligands for lung regeneration
Authors: Wu Xinhui , Bos I. Sophie T. , Conlon Thomas M. , Ansari Meshal , Verschut Vicky , Verkleij Lars A. , D’Ambrosi Angela , Matveyenko Aleksey , Schiller Herbert B. , Königshoff Melanie , Schmidt Martina , Kistemaker Loes E. M. , Yildirim Ali Önder , Gosens Reinoud 
Published: May 2021

AbstractCurrently, there is no pharmacological treatment targeting defective tissue repair in chronic disease. Here we utilized a transcriptomics-guided drug target discovery strategy using gene signatures of smoking-associated chronic obstructive pulmonary disease (COPD) and from mice chronically exposed to cigarette smoke, identifying druggable targets expressed in alveolar epithelial progenitors of which we screened the function in lung organoids. We found several drug targets with regenerative potential of which EP and IP prostanoid receptor ligands had the most significant therapeutic potential in restoring cigarette smoke-induced defects in alveolar epithelial progenitors in vitro and in vivo. Mechanistically, we discovered by using scRNA-sequencing analysis that circadian clock and cell cycle/apoptosis signaling pathways were enriched in alveolar epithelial progenitor cells in COPD patients and in a relevant model of COPD, which was prevented by PGE2 or PGI2 mimetics. Conclusively, specific targeting of EP and IP receptors offers therapeutic potential for injury to repair in COPD.
Automated Assignment of Proteoform Classification Levels
Authors: Rolfs Zach , Smith Lloyd M. 
Published: May 2021

ABSTRACTProteoform identification is required to fully understand the biological diversity present in a sample. However, these identifications are often ambiguous because of the challenges in analyzing full length proteins by mass spectrometry. A five-level proteoform classification system was recently developed to delineate the ambiguity of proteoform identifications and to allow for comparisons across software platforms and acquisition methods. Widespread adoption of this system requires software tools to provide classification of the proteoform identifications. We describe here implementation of the five-level classification system in the software program MetaMorpheus, which provides both bottom-up and top-down identifications. Additionally, we developed a stand-alone program called ProteoformClassifier that allows users to classify proteoform results from any search program, provided that the program writes output that includes the information necessary to evaluate proteoform ambiguity. This stand-alone program includes a small test file and database to evaluate if a given program provides sufficient information to evaluate ambiguity. If the program does not, then ProteoformClassifier provides meaningful feedback to assist developers with implementing the classification system. We tested currently available top-down software programs and found that none of them other than MetaMorpheus provided sufficient information regarding identification ambiguity to permit classification.
Encoding of inflammatory hyperalgesia in mice spinal cord
Authors: Barkai Omer , Butterman Rachely , Rayi Prudhvi Raj , Katz Ben , Lev Shaya , Binshtok Alexander M 
Published: May 2021

AbstractInflammation modifies the input-output properties of peripheral nociceptive neurons, thus leading to hyperalgesia, a condition in which the perception of noxious heat stimuli is altered such that the same stimulus produces enhanced pain. The increased nociceptive output enters the superficial dorsal spinal cord (SDH), which comprises the first CNS network integrating the noxious information. Here we used in vivo calcium imaging and a computational approach to investigate how the SDH network in mice encodes the injury-mediated abnormal input from peripheral nociceptive neurons. We show that the application of noxious heat stimuli to the hind paw in naïve mice before induction of injury affects the activity of 70% of recorded neurons by either increasing or suppressing it. Application of the same noxious heat stimuli to hyperalgesic skin following injury leads to activation of previously non-responded cells and de-suppression of the “suppressed” neurons. We further demonstrate that reduction in synaptic inhibition mimics the response to the noxious stimuli in hyperalgesic conditions. Using a computational model of the SDH network, we predict that the “disinhibitory” effect of hyperalgesic stimuli results from the inflammation-mediated increased afferent input to the SDH network and a decrease in SDH inhibition. Both of these processes synergistically contribute to the injury-mediated increase in SDH output towards higher brain centers.
Contactless recordings of retinal activity using optically pumped magnetometers
Authors: Westner Britta U. , Lubell James I. , Jensen Mads , Hokland Sigbjørn , Dalal Sarang S. 
Published: May 2021

AbstractOptically pumped magnetometers (OPMs) have been adopted for the recording of brain activity. Without the need to be cooled to cryogenic temperatures, an array of these sensors can be placed more flexibly, which allows for the recording of neuronal structures other than neocortex. Here we use eight OPM sensors to record human retinal activity following flash stimulation. We compare this magnetoretinographic (MRG) activity to the simultaneously recorded electroretinogram of the eight participants. The MRG shows the familiar flash-evoked potentials (a-wave and b-wave) and shares a highly significant amount of information with the electroretinogram recording (both in a simultaneous and separate recording). We conclude that OPM sensors have the potential to become a contactless alternative to fiber electrodes for the recording of retinal activity. Such a contactless solution can benefit both clinical and neuroscientific settings.
A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset
Authors: Vaghari Delshad , Bruna Ricardo , Hughes Laura E. , Nesbitt David , Tibon Roni , Rowe James B. , Maestu Fernando , Henson Richard N. 
Published: May 2021

AbstractEarly detection of Alzheimer’s Disease (AD) is vital to reduce the burden of dementia and for developing effective treatments. Neuroimaging can detect early brain changes, such as hippocampal atrophy in Mild Cognitive Impairment (MCI), a prodromal state of AD. However, selecting the most informative imaging features by machine-learning requires many cases. While large publically-available datasets of people with dementia or prodromal disease exist for Magnetic Resonance Imaging (MRI), comparable datasets are missing for Magnetoencephalography (MEG). MEG offers advantages in its millisecond resolution, revealing physiological changes in brain oscillations or connectivity, before structural changes are evident with MRI. We introduce a MEG dataset with 324 individuals: patients with MCI and healthy controls. Their brain activity was recorded while resting with eyes closed, using a 306-channel MEG scanner at one of two sites (Madrid or Cambridge), enabling tests of generalization across sites. A T1-weighted MRI is provided to assist source localisation. The MEG and MRI data can be formatted according to international BIDS standards, and analysed freely on the DPUK platform (https://portal.dementiasplatform.uk/Apply).
The resilient – smart city development: a literature review and novel frameworks exploration
Authors: Khatibi Hamed , Wilkinson Suzanne , Baghersad Mostafa , Dianat Heiman , Ramli Hidayati , Suhatril Meldi , Javanmardi Ahad , Ghaedi Khaled 
Published: May 2021

PurposeThis paper aims to develop a framework that could establish and further the terminology of smart city/resilient city discourse in that resilience could support urban “smartness”, a term that is widely argued being not easily measured nor quantifiably assessed.Design/methodology/approachThe qualitative approach was employed, and based on selected keywords, a systematic literature review was carried out to understand the main themes within the smart city and resilient city concepts databases. Upon screening, 86 papers were used and synthesised through the meta-synthesis method using both synthesis approach, meta-aggregation and meta-ethnography that systematically identifies both properties and characteristics, to build an innovative framework as an indicator-based smart/resilience quantification model.FindingsTwo novel frameworks are proposed, smart resilient city (SRC) and resilient smart city (RSC), as guidelines regulatory that establish a city's smartness and resilience.Research limitations/implicationsThe quantitative research phase is not provided as the framework builds on the exploratory approach in which the model is proposed through the postulation of data definitions.Practical implicationsAlthough the study's scope was limited to the city, proposed frameworks may be interpreted for other contexts that deal with the topic of resilience and smart.Originality/valueThe established framework proposal would encourage further exploration in context, serving as an inspiration for other scholars, decision-makers, as well as municipalities to keep strengthening smart city through resilience factors.
Understanding the disclosure of personal data online
Authors: Parker Heather J. , Flowerday Stephen 
Published: May 2021

Purpose
Social media has created a new level of interconnected communication. However, the use of online platforms brings about various ways in which a user’s personal data can be put at risk. This study aims to investigate what drives the disclosure of personal information online and whether an increase in awareness of the value of personal information motivates users to safeguard their information.

Design/methodology/approach
Fourteen university students participated in a mixed-methods experiment, where responses to Likert-type scale items were combined with responses to interview questions to provide insight into the cost–benefit analysis users conduct when disclosing information online.

Findings
Overall, the findings indicate that users are able to disregard their concerns due to a resigned and apathetic attitude towards privacy. Furthermore, subjective norms enhanced by fear of missing out (FOMO) further allows users to overlook potential risks to their information in order to avoid social isolation and sanction. Alternatively, an increased awareness of the personal value of information and having experienced a previous privacy violation encourage the protection of information and limited disclosure.

Originality/value
This study provides insight into privacy and information disclosure on social media in South Africa. To the knowledge of the researchers, this is the first study to include a combination of the theory of planned behaviour and the privacy calculus model, together with the antecedent factors of personal valuation of information, trust in the social media provider, FOMO.
Intercultural collaborative lesson study between Japan and Germany
Authors: Yoshida Nariakira , Matsuda Mitsuru , Miyamoto Yuichi 
Published: May 2021

PurposeThe primary research question in this study concerns the establishment of a platform for intercultural collaborative lesson study, which promotes reciprocal dialogue between culturally distinctive educational research groups. Therefore, this study aims to introduce a case of intercultural collaborative lesson study projects between Hiroshima University and Leipzig University and to illustrate the issues in intercultural collaborative lesson study.Design/methodology/approachThis study reconstructed the sequence of the project as a case under the narrative structure. Data were retrieved from a collaborative project between Hiroshima University and Leipzig University, which corresponds to the theoretical framework, as they represent a clear cultural contrast. The description of the project is reconstructed and reduced into a linear storyline of procedure.FindingsThis study identifies three key issues: (1) sharing data and culture, (2) visualising methodology and process, and (3) responding to research questions and answers.Research limitations/implicationsThis platform does require one cultural group neither throwing their own norms away nor creating an utterly new paradigm beyond their own cultures. It is a place “between” original places that enables groups to capture their own culture and another culture, which does not compel to change but effectively allows reflection and changing themselves.Originality/valueAlthough several transcultural reports find that one cultural asset is imported and exported, the arena of bi-directional intercultural dialogue remains undeveloped. The collaborative project between Hiroshima and Leipzig is then introduced and examined to overcome the current problems in transnational lesson study.
A multidimensional and hierarchical model of banking services and behavioral intentions of customers
Authors: Hossain Md. Alamgir , Jahan Nusrat , Kim Minho 
Published: May 2021

PurposeBanking services encounter major challenges in determining customer's psychometric behavioral intentions. Scholars suggest that a theoretical approach to better understand the key constructs of service marketing, such as service quality, perceived value, customer satisfaction, corporate image and behavioral intentions, is critical to bank performance. The present study aims to design and test a comprehensive multidimensional and hierarchical model of service quality with higher-order psychometric constructions and their mediation effects in the model.Design/methodology/approachData from a self-administered structured questionnaire are analyzed by confirmatory factor analysis and structural equation modeling.FindingsEmpirical results confirm that multidimensional and hierarchical service quality are best suited to assess overall banking service quality, in which outcome, interaction and environment quality are the important primary dimensions, with each of them having several subdimensions. Service quality is the significant antecedent of behavioral intentions, customer satisfaction, corporate image and perceived value. Customer satisfaction and service quality are the best determinants of behavioral intentions. In addition, customer satisfaction, perceived value and corporate image are complementary variables, having significant mediation effects on the relationship between service quality and behavioral intentions.Originality/valueAs a maiden study in the context of emerging economies, this research integrates a comprehensive service quality theory and valuable customer loyalty constructs, which are crucial to banks' financial performance, bolstering evidence for the theoretical pitch. This study also provides managers with a clear idea of how they can develop sustainable service marketing strategies and policies on the psychometric perceptions of customers, thereby leading banks to achieve long-term goals.
Does social reporting matter? Empirical evidence
Authors: Sarea Adel , Salami Monsurat Ayojimi 
Published: May 2021

Purpose
This paper aims to examine the level of Islamic social reporting (ISR) disclosure of Islamic banking in Gulf Cooperative Council (GCC) countries using a checklist based on Accounting and Auditing Organization for Islamic Financial Institution (AAOIFI) standards.

Design/methodology/approach
A quantitative method – Tobit Model – is adopted in this study. The unweighted disclosure method used to measure the ISR disclosure checklist consist of 51 items in Islamic banks (IBs) in the GCC countries. The stakeholder theory and legitimacy theory are used to investigate the possible banking performance factors affecting the accounting practices such as ISR disclosure in IBs.

Findings
The findings show that the ISR disclosure index is linked to the IBs’ performance indicators in GCC countries. The result indicates both Islamic banking profitability and age establish positive and statistically significant relationship with ISR disclosure while leverage establishes significant negative relationship with ISR disclosure. This implies that Islamic banking profitability, leverage, and age are essential bank performance indicators that make ISR disclosure worthy of doing even in the presence of Islamic bank stakeholders in GCC countries. This finding linked compliance with the mandatory disclosure recommendations of AAOIFI Standard No. 7, as well as voluntary disclosure.

Research limitations/implications
This study used cross sectional data for the year 2019, which is considered more recent despite its being a year data analysis. However, future research should consider mix method as well as more analysis tools provided their number of observations are sufficient enough.

Social implications
The study identifies the factors that may enhance Islamic financial institutions, including Islamic banking in GCC countries, to comply with ISR disclosure. The application of this study supports Accounting standards setters to consider standards that support ISR disclosure in Islamic banking in different countries.

Originality/value
To the best of the authors’ knowledge, this study is novel in exploring the level of ISR disclosure in Islamic banking in GCC countries by using a checklist based on AAOIFI standard No. 7 and establishes the relationship between ISR disclosure index and IBs profitability, leverage, as well as age of Islamic banking in operation.