bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human-specificARHGAP11Bis necessary and sufficient for human-type basal progenitor levels in primate brain organoids
Authors: Fischer Jan , Peters Jula , Namba Takashi , Huttner Wieland B. , Heide Michael 
Published: October 2020

AbstractBased on studies in various animal models, including developing ferret neocortex (Kalebic et al., 2018), the human-specific geneARHGAP11Bhas been implicated in human neocortex expansion. However, the extent of its contribution to this expansion during primate evolution is unknown. Here we addressed this issue by genetic manipulation of ARHGAP11B levels and function in chimpanzee and human cerebral organoids. Interference with ARHGAP11B’s function in human cerebral organoids caused a massive decrease, down to a chimpanzee level, in the proliferation and abundance of basal progenitors, the progenitors thought to have a key role in neocortex expansion. Conversely,ARHGAP11Bexpression in chimpanzee cerebral organoids resulted in a doubling of cycling basal progenitors. Taken together, our findings demonstrate thatARHGAP11Bis necessary and sufficient to maintain the elevated basal progenitor levels that characterize the fetal human neocortex, suggesting that this human-specific gene was a major contributor to neocortex expansion during human evolution.
The GARP Domain of the Rod CNG Channel’s β1-subunit Contains Distinct Sites for Outer Segment Targeting and Connecting to the Photoreceptor Disc Rim
Authors: Pearring Jillian N. , Willer Jason R. , Martínez-Márquez Jorge Y. , Lieu Eric C. , Salinas Raquel Y. , Arshavsky Vadim Y. 
Published: October 2020

AbstractVision begins when light is captured by the outer segment organelle of photoreceptor cells in the retina. Outer segments are modified cilia filled with hundreds of flattened disc-shaped membranes. Disc membranes are separated from the surrounding plasma membrane and each membrane type has unique protein components. The mechanisms underlying this protein sorting remain entirely unknown. In this study, we investigated the outer segment delivery of the rod cyclic nucleotide-gated (CNG) channel, which is located in the outer segment plasma membrane where it mediates the electrical response to light. We now show that the targeted delivery of the CNG channel to the outer segment requires pre-assembly of its constituent α1 and β1 subunits and that CNGβ1 contains specific targeting information encoded within the glutamic acid-rich region of its N-terminal GARP domain. We also found that the GARP domain connects the CNG channel to photoreceptor disc rims likely through an interaction with peripherin-2 and demonstrated that this function is performed by a proline-enriched region adjacent to the GARP domain. Our data reveal fine functional specializations within the structural domains of the CNG channel and suggest that channel delivery to the outer segment is independent of peripherin-2 interactions.Significance StatementThe precise delivery and organization of signaling proteins in the ciliary outer segment organelle of photoreceptor cells is critical for light detection. We report that the CNG channel, mediating the electrical response to light in rods, contains a region within the N-terminus of its CNGβ1 subunit that encodes the outer segment targeting information for the entire channel. This targeting region is adjacent to a region that connects CNGβ1 to the rims of photoreceptor discs, likely determining the subcellular compartmentalization of the CNG channel into the outer segment plasma membrane.
When do women on board of directors reduce bank risk?
Authors: Birindelli Giuliana , Chiappini Helen , Savioli Marco 
Published: October 2020

Purpose
This study aims to examine the relationship between female directors and bank risk. In particular, whether such a relationship varies across sound or unsound banks and with or without a critical mass of female directors is tested.

Design/methodology/approach
Using a sample of 215 listed banks from 40 countries over the period 2008–2016, this study carries out panel data analyses and tests all the model specifications on four different measures of risk (common equity ratio, leverage, NPLs ratio and price volatility).

Findings
The findings show that increasing the number of female directors does not reduce bank risk when banks are unsound. When banks are sound, female directors have a significant and positive role in reducing risk, only until reaching a critical mass of women.

Practical implications
This study provides useful corporate governance indications for policymakers and practitioners. Advantages of gender diversity on boards are recognized especially in sound banks, but increasing the number of women directors beyond the critical mass may not lead to lower risk. In fact, ethical or legal pressures aimed at increasing gender diversity on boards (i.e. soft or hard gender quotas) may cause undesired effects on bank risk, especially if female directors are not chosen on merit and skills. Moreover, gender-balanced boards, namely, with a “dual critical mass,” seem to assure more effective decision-making processes.

Originality/value
This study provides empirical evidence on female board members and risk minimization, differentiating between sound or unsound banks. Furthermore, this study contributes to the literature on the critical mass of women on the board of directors by testing this theory for these two categories of banks.
A novel method for gear gravimetric wear prediction based on improved particle swarm optimization and non-stationary random process probability distribution fitting
Authors: Chen Cheng , Wang Honghua 
Published: October 2020

Purpose
Stimulated by previous reference, which proposed making straight line of regression to test gear gravimetric wear loss sequence distribution, this paper aims to propose using straight line of regression to fit gear gravimetric wear loss sequence based on stationary random process suppose. Faced to that the stationary random sequence suppose had not been proved by previous reference, and that prediction did not present high precision, this paper proposes a method of fitting non-stationary random process probability distribution function.

Design/methodology/approach
Firstly, this paper proposes using weighted sum of Gauss items to fit zero-step approximate probability density. Secondly, for the beginning, this paper uses the method with few Gauss items under low precision. With the amount of points increasing, this paper uses more Gauss items under higher precision, and some Gauss items and some former points are deleted under precision condition. Thirdly, for particle swarm optimization with constraint problem, this paper proposed improved method, and the stop condition is under precision condition.

Findings
In experiment data analysis section, gear wear loss prediction is done by the method proposed by this paper. Compared with the method based on the stationary random sequence suppose by prediction relative error, the method proposed by this paper lowers the relative error whose absolute values are more than 5%, except when the current point sequence number is 2, and retains the relative error, whose absolute values are lower than 5%, still lower than 5%.

Originality/value
Finally, the method proposed by this paper based on non-stationary random sequence suppose is proved to be the better method in gear gravimetric wear loss prediction.
A review of carbon trading based on an evolutionary perspective
Authors: Shen Neng , Zhao Yuqing , Deng Rumeng 
Published: October 2020

PurposeThis paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.Design/methodology/approachUses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.FindingsResearch on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”Originality/valueReveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.
Measuring hospital process service quality: emerging technologies’ challenge
Authors: Zhang Min , Wang Lu , Wang Ran , Xiong Jingjing 
Published: October 2020

Purpose
In the mobile internet era, the path and mechanism of hospital patient-perceived quality have been changed radically. The purpose of this study is to develop a scale that adequately captures the characteristics of hospital service quality from the patient’s perspective under the background of the mobile internet.

Design/methodology/approach
Based on previous related research and interviews with focus groups, this paper conceptualized, constructed, refined and tested a multiple-item scale that examined key dimensions of hospital process service quality in the mobile context. To validate this scale, data were collected through two formal surveys in Chinese hospitals and were used to test the reliability and validity of the instrument.

Findings
The final measurement scale contains three dimensions, that is, environment conditions, attitude and behavior and technical convenience. With the help of this quality scale, hospital managers could have a better understanding of patients’ expectations under the new condition and pinpoint appropriate initiatives to fill the service gap.

Originality/value
This study focuses on service quality measurement issues related to the application of mobile internet technology in traditional clinical settings, such as hospitals. This paper develops an original and specific service quality scale that catches the online and offline characteristics of the hospital process in the mobile setting and considers both human-technology interaction and human-human interaction.
A compounding-model comprising back propagation neural network and genetic algorithm for performance prediction of bio-based lubricant blending with functional additives
Authors: Yu Tong , Yin Peng , Zhang Wei , Song Yanliang , Zhang Xu 
Published: October 2020

Purpose
The amount, type and addition conditions of additives of lubricants should be continuously adjusted to obtain appealing performance. To obtain the optimal pretreatment parameters and reduce the cost of time-consuming experiments, the purpose of this paper is to establish an optimal back propagation neural network (BPNN) model combined with genetic algorithm (GA) in this work.

Design/methodology/approach
Using trimethylolpropane trioleate as the base oil and three types of phosphorus compounds as additives, 25 sets of lubricant formulas were designed regarding lubricant performances of average friction coefficient, average spot diameter, disk wear volume and extreme pressure. The data set was used for training and learning of BPNN and then combined with GA to optimize BPNN with continuously optimization by adjusting various parameters.

Findings
Comparing prediction data of BPNN with actual test data, correlation coefficients were above 90%, indicating that the model could accurately predict the performance of lubricants. When combined with GA, all performance errors were less than 5%, indicating that BPNN could be optimized by GA to obtain an accurate combined model for prediction of lubricant performance. The best additive formula with excellent performances was obtained from the BPNN–GA model.

Originality/value
This work developed a new method to study lubricant compounding. The combined model was expected to provide a theoretical basis and guidance for the compounding optimization of lubricant additives with high efficiency and low cost and to expand the scope to practical applications.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2020-0165/
Expressions of m6A RNA methylation regulators and their clinical predictive value in cervical squamous cell carcinoma and endometrial adenocarcinoma
Authors: Wu Hongyuan , Dong Heling , Fu You , Tang Yu , Dai Meng , Chen Yanya , Wang Gang , Wu Yifen 
Published: October 2020

AbstractThe mortality caused by cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) ranks second among female malignant tumour deaths, but their diagnostic and therapeutic targets are still limited. N6‐methyladenosine (m6A) is the most common and extensive modification in mRNA molecules, and its methylation regulators participate in regulating the occurrence and development of many tumours. However, whether m6A RNA methylation regulators can be used as independent prognostic indicators of CESC remains unknown. This study unveiled differential expression of 20 m6A RNA methylation regulators between normal and CESC tumour samples, which RNA sequence data and clinical information were obtained from TCGA database. As a result, five m6A RNA methylation regulators (FTO, HNRNPA2B1, RBM15, IGF2BP1, IGF2BP3) were identified to be significantly linked to CESC tumour status. After Lasso cox regression analysis, six m6A RNA methylation regulators (YTHDC2, YTHDC1, ALKBH5, ZC3H13, RBMX, YTHDF1) were chosen to construct a risk signature. CESC patients were then classified as high‐risk and low‐risk group based on the median risk score. The overall survival (OS) of the CESC patients in high‐risk group was significantly lower than that in low‐risk group, and the area under curve (AUC) is 0.718. Moreover, the risk model can be an independent prognosis factors for CESC patients and can predict OS of CESC patients with different clinical factors. In conclusion, m6A RNA methylation regulators are closely correlated with CESC clinical characteristics and the selected six m6A RNA methylation regulators may be useful for CESC patients personalized treatment.
Families' reports of problematic foods, management strategies and continuous glucose monitoring in type 1 diabetes: A cross‐sectional study
Authors: Smith Tenele A. , Blowes Ashley A. , King Bruce R. , Howley Peter P. , Smart Carmel E. 
Published: October 2020

AbstractAimsTo identify foods that cause problematic postprandial blood glucose levels (BGLs) in children and young people with type 1 diabetes, the strategies families use to manage these foods and the impact of continuous glucose monitoring (CGM) on nutritional management.MethodsThis was a cross‐sectional survey of 100 families attending a paediatric diabetes centre in Australia.ResultsParticipants (n = 100) had a mean age of 13.0 ± 3.6 years; diabetes duration 5.2 ± 4.0 years; HbA1c 53 ± 0.9 mmol/mol (7.0 ± 0.8%); 52% used multiple daily injections (MDI, ≥4 injections/day); 48% used insulin pump therapy; and overall, 60% used CGM.Ninety‐one participants (91%) identified problematic foods, including pizza (60%), pasta (55%) and rice (31%). Of these, 96% used one or more strategies to manage BGLs, including correcting BGLs more often (51%), use of a combination bolus (39%) and increasing the meal insulin dose (32%). Participants who gave additional meal insulin (n = 28) increased the dose by 10% to 25%. All MDI users (n = 15) gave additional insulin pre‐prandially. Of those using CGM, 88% (n = 53) reported an increased awareness of the glycaemic impact of foods, and 27% (n = 16) had subsequently made changes to their management including avoiding and/or restricting new foods (n = 7).ConclusionsFamilies with type 1 diabetes reported foods such as pizza, pasta and rice as problematic and used strategies such as increasing the insulin dose to minimise their glycaemic impact. CGM contributed to the awareness of problematic foods. Clinicians should discuss these foods and, if challenging, provide targeted strategies including adjusting the insulin dose and delivery pattern to improve postprandial glycaemia.
COVID‐19 is an emergent disease of aging
Authors: Santesmasses Didac , Castro José Pedro , Zenin Aleksandr A. , Shindyapina Anastasia V. , Gerashchenko Maxim V. , Zhang Bohan , Kerepesi Csaba , Yim Sun Hee , Fedichev Peter O. , Gladyshev Vadim N. 
Published: October 2020

AbstractCOVID‐19 is an ongoing pandemic caused by the SARS‐CoV‐2 coronavirus that poses one of the greatest challenges to public health in recent years. SARS‐CoV‐2 is known to preferentially target older subjects and those with pre‐existing conditions, but the reason for this age dependence is unclear. Here, we found that the case fatality rate for COVID‐19 grows exponentially with age in all countries tested, with the doubling time approaching that of all‐cause human mortality. In addition, men and those with multiple age‐related diseases are characterized by increased mortality. Moreover, similar mortality patterns were found for all‐cause pneumonia. We further report that the gene expression of ACE2, the SARS‐CoV‐2 receptor, grows in the lung with age, except for subjects on a ventilator. Together, our findings establish COVID‐19 as an emergent disease of aging, and age and age‐related diseases as its major risk factors. In turn, this suggests that COVID‐19, and deadly respiratory diseases in general, may be targeted, in addition to antiviral approaches, by approaches that target the aging process.
Shifts in alcohol consumption during the COVID‐19 pandemic: early indications from Australia
Authors: Callinan Sarah , Smit Koen , Mojica‐Perez Yvette , D'Aquino Simon , Moore David , Kuntsche Emmanuel 
Published: October 2020

AbstractBackground and aimThe effect of the COVID‐19 pandemic on alcohol consumption is currently unclear. This study aimed to provide early estimates of how stress and demographics will interact with shifts in harmful alcohol consumption from before the COVID‐19 outbreak to 2 months into social distancing.DesignCross‐sectional convenience sample.SettingAustralia.ParticipantsA total of 1684 Australians aged 18–65 years who drink at least monthly.MeasurementsItems from the Alcohol Use Disorders Identification Test (AUDIT) and the stress subscale of the Depression Anxiety and Stress Scale (DASS).FindingsOverall, harmful drinking decreased during social distancing measures in our sample [2019 score = 8.2, 95% confidence interval (CI) = 7.9–8.4; during the pandemic = 7.3, 95% CI = 7.1–7.6]. Younger drinkers, particularly young women, decreased their consumption the most, but there was a small increase in consumption in middle‐aged women. Drinkers experiencing high levels of stress also reported a relatively higher shift in harmful consumption compared with those with low levels of stress (β = 0.65, P = 0.003), despite reporting a small decrease overall.ConclusionsThe closure of licensed premises and social distancing measures in Australia in response to the COVID‐19 outbreak appear to have reduced harmful alcohol consumption in younger drinkers, particularly young women.
Post‐haemorrhagic hydrocephalus management: Delayed neonatal transport negatively affects outcome
Authors: Parodi Alessandro , Giordano Ilaria , De Angelis Laura , Malova Mariya , Calevo Maria Grazia , Preiti Deborah , Ravegnani Marcello , Cama Armando , Bellini Carlo , Ramenghi Luca A. 
Published: October 2020

AbstractBackgroundPost‐haemorrhagic ventricular dilatation (PHVD) still represents an important cause of brain injury in premature infants. Intervention for PHVD is recommended once Ventricular Index (VI) crosses the 97th percentile + 4 mm line according to Levene.ObjectivesWe aimed to compare PHVD severity, timing of intervention, and outcome between outborn infants transferred to a level IV NICU in order to be treated for PHVD and a control population of inborn infants.MethodsPreterm infants with PHVD requiring treatment were divided into: outborn infants (transferred to our NICU in order to be treated for PHVD) and inborn infants (PHVD diagnosed at our NICU). Age at intervention, difference between VI and the 97th percentile according to postmenstrual age (VI‐p97), permanent shunt rate, and developmental delay rate were compared between the two groups. Neurodevelopmental outcome was assessed using the Vineland Adaptive Behavior Scales II (VABS‐II), a parental questionnaire investigating four domains of adaptive behaviour and overall adaptive functioning. Developmental delay was defined as a score <70 (−2 SD or less).ResultsTwelve outborn and 15 inborn infants were included. Age at intervention (31.6 vs 17.4 days) and VI‐p97 (left 10.0 vs 5.1 mm, right 7.7 vs 5.1 mm) were significantly higher among outborn infants. A permanent shunt was inserted in 66.7% of outborn and in 40.0% of inborn infants (p = 0.18). After excluding subjects with parenchymal lesions, a significantly higher rate of developmental delay was observed at 5 years in outborn patients compared to inborn patients (66.7% of outborn vs 18.2% of inborn patients with VABS‐II composite score <70, p = 0.04).ConclusionsOutborn infants reached a significantly more severe ventricular dilatation than inborn infants, largely exceeding the recommended cutoff for intervention. Our follow‐up data showed a trend towards a higher rate of permanent shunt and developmental delay in outborn than in inborn patients. Infants requiring treatment should be timely transported to centres with adequate expertise in PHVD management.
Correlates of Perceived Physical Activity Transitions during the COVID‐19 Pandemic among Canadian Adults
Authors: Rhodes Ryan E. , Liu Sam , Lithopoulos Alexander , Zhang Chun‐Qing , Garcia‐Barrera Mauricio A. 
Published: October 2020

BackgroundThe purpose of this study was to explore socio‐ecological predictors of moderate to vigorous physical activity (MVPA) as a result of the COVD‐19 pandemic restrictions.MethodA representative sample of 1,055 English‐speaking Canadians (18+ years) completed measures of MVPA during the COVID‐19 restrictions and reflecting on MVPA prior to these restrictions, as well as demographics, COVID‐19‐related cognitions and behavior (i.e. perceived threat, social distancing), psychological factors (e.g. personality traits, habit, identity, strategic planning), social factors (e.g. dependent children, co‐habitation), home environment affordances (exercise equipment, programming) and the neighborhood environment (e.g. access to outdoor recreation, neighborhood safety).ResultsParticipants perceived that they had decreased weekly MVPA (p < .01) and the availability of home equipment and strategic planning were critical predictors (p < .01). Profiles by MVPA guidelines, however, showed that 58 per cent of the sample had not changed and 6 per cent had increased MVPA. Identity was the critical predictor of the different MVPA profiles, followed by habit, extraversion, availability of home equipment, and the age of the participant (p < .01).ConclusionPandemic restrictions have affected the MVPA of many Canadians, and variables across the socio‐ecological spectrum explain who has been able to maintain MVPA during this unprecedented time.