bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily supervisor support, engagement and prosocial behavior: how turnover intentions reduce the resources to pay it forward
Authors: Haynie Jeffrey J. , Varma Virajanand , Ragland Elizabeth 
Published: March 2022

PurposeThe authors test the daily perceived supervisor support (PSS) to job engagement relationship with respect to employees' extra-role displays. Additionally, the authors propose employees' turnover intentions (TIs) to minimize these indirect effects when high.Design/methodology/approachIn Study 1, employees in a field sample responded to a repeated survey spanning ten days to test the proposed model. Study 2, then, used a scenario-based experiment with online panelists as a further test of the model.FindingsDaily job engagement was found to mediate the relationships of daily PSS with OCBI, where high TI reduced this indirect effect in Study 1. Similar indirect and conditional indirect effects were supported for OCBI and OCBO likelihood in Study 2.Practical implicationsThe paper highlights the importance of supervisors' ongoing supportive behaviors extended to their subordinates along with an awareness of employees' TI behavioral signals.Originality/valueThis study adds to research examining the reinforcing nature of PSS on employees' engagement and subsequent citizenship behavior. It also offers a potential boundary condition to such indirect effects by proposing TI as influencing such daily motivational effects.
Smart grid reliability evaluation and assessment
Authors: Mashal Ibrahim 
Published: March 2022

PurposeSmart grid is an integration between traditional electricity grid and communication systems and networks. Providing reliable services and functions is a critical challenge for the success and diffusion of smart grids that needs to be addressed. The purpose of this study is to determine the critical criteria that affect smart grid reliability from the perspective of users and investigate the role big data plays in smart grid reliability.Design/methodology/approachThis study presents a model to investigate and identify criteria that influence smart grid reliability from the perspective of users. The model consists of 12 sub-criteria covering big data management, communication system and system characteristics aspects. Multi-criteria decision-making approach is applied to analyze data and prioritize the criteria using the fuzzy analytic hierarchy process based on the triangular fuzzy numbers. Data was collected from 16 experts in the fields of smart grid and Internet of things.FindingsThe results show that the “Big Data Management” criterion has a significant impact on smart grid reliability followed by the “System Characteristics” criterion. The “Data Analytics” and the “Data Visualization” were ranked as the most influential sub-criteria on smart grid reliability. Moreover, sensitivity analysis has been applied to investigate the stability and robustness of results. The findings of this paper provide useful implications for academicians, engineers, policymakers and many other smart grid stakeholders.Originality/valueThe users are not expected to actively participate in smart grid and its services without understanding their perceptions on smart grid reliability. Very few works have studied smart grid reliability from the perspective of users. This study attempts to fill this considerable gap in literature by proposing a fuzzy model to prioritize smart grid reliability criteria.
Growth mindsets increase flexible work arrangement attractiveness: a policy-capturing study
Authors: Smit Brandon W. , Lawson Katie M. 
Published: March 2022

PurposeAlthough flexible work arrangements (FWAs) are widely regarded as a desirable employee benefit, questions remain about which factors drive (or attenuate) applicant attraction to them. The authors offer a novel theoretical account by advancing the concept of lay theories (i.e. mindsets) around an individual's ability to juggle work and life responsibilities, defined as beliefs that the ability to juggle is either malleable (i.e. growth) or cannot be changed (i.e. fixed), which suggests greater efficacy increases attraction.Design/methodology/approachUtilizing an experimental policy-capturing design, 86 participants each rated a series of 64 job offers (N = 5,376) with several manipulated job attributes. Participants were randomly assigned into a growth or fixed mindset condition.FindingsMultilevel regressions revealed that a growth (vs fixed) mindset caused participants to place greater weight on flexible work scheduling policies by reporting greater attraction to jobs with flexible arrangements.Practical implicationsOrganizations may increase applicant attraction by taking steps to ensure that the value of work–life benefits is salient, such as offering concrete examples of how policies have been used.Originality/valueThis study questions the assumption that those who need flexibility are more attracted to FWAs and demonstrates that beliefs around one's ability to juggle work–life demands are a unique mechanism shaping applicant attraction.
Empowering caregivers of children with learning and developmental disabilities: from situation analysis to community-based inclusive development in Kilifi, Kenya
Authors: Bunning Karen , Gona Joseph Karisa , Newton Charles Richard , Hartley Sally 
Published: March 2022

Purpose
Raising a child with learning and developmental disabilities in a low-income setting is challenged by inadequate resources, limited support and poverty. The impacts on caregivers include fatigue, distress and isolation. The purpose of this paper is to report on a programme (2008-2021) that was set up in Kilifi County, Kenya to investigate and address these difficulties.

Methodology
The programme used mixed methods through a series of interconnected studies, starting with a situation analysis, followed by a home-based intervention where the caregiver served as agent for change using augmentative and alternative communication (AAC) methods. This was followed by two community-based inclusive development initiatives: disability awareness training to community groups and empowering self-help groups for caregivers of children growing up with disabilities.

Findings
The situation analysis revealed scarce support services for caregivers and children with learning and developmental disabilities, with report of limited resources, inadequate coverage and poor professional practice. A home-based, AAC intervention was associated with improved caregiver well-being, significant positive changes to caregiver perceptions of the child’s communication and some expansion to the child’ social activities. However, questions around sustainability persisted. Disability awareness training led by persons with lived experience of disability showed positive changes to the views, values and attitudes of established community groups. Caregiver participation in self-help groups was associated with their greater personal agency, perceptions of increased social support and reduced severity of child’s disability.

Originality
The programme narrative demonstrates a rationalised and evidence-based process for community-based inclusive development that is low cost, culturally acceptable, with potential for sustainability.
What drives demand for private tutoring in the Middle East and North Africa region? Evidence from a Youth Survey
Authors: Fakih Ali , Haimoun Nathir , Sleiman Anastasia 
Published: March 2022

AbstractThis paper examines the determinants of private tutoring in five major Middle East and North Africa (MENA) countries: Egypt, Algeria, Lebanon, Morocco, and Tunisia. The paper uses data extracted from the SAHWA Youth Survey (2016) and runs a probit model. The main findings indicate that age, receiving financial support, having educated parents and living in urban areas increase the demand for private tutoring. Conversely, the results show that being a male student or a child of an employed mother will decrease the need for a private tutor. The empirical findings propose potential policy implications for MENA countries facing the exacerbation of gaps in the education system while emphasizing the challenges hindering public schools from delivering quality education.
The electoral benefits of environmental position‐taking: Floods and electoral outcomes in England 2010–2019
Authors: BIRCH SARAH 
Published: March 2022

AbstractThe global increase in extreme weather events in recent years has spurred political scientists to examine the potential political effects of such phenomena. This paper explores effect of flooding on electoral outcomes and offers evidence that the impact of adverse events varies with changes in political context. Using a difference‐in‐differences identification strategy to analyse three consecutive general elections in the United Kingdom (2015, 2017 and 2019), the paper finds variability in partisan electoral benefit from one election to the next that calls into question the blind retrospection and rally‐round‐the‐leader explanations which are often advanced to account for electoral reactions to natural disasters. Instead, changing party positions on environmental issues appear to account more convincingly for shifts in electoral support in response to flooding. This suggests that parties can derive benefit from, or be punished for, the positions they take on environmental issues when extreme weather events affect citizens.
Malignant transformation of heterotopic pancreas as middle esophagus adenocarcinoma—A rare case report and comprehensive literature review
Authors: Yang Yong‐Bo , Liu Yi‐Qiang , Dai Liang , Yan Wan‐Pu , Liang Zhen , Chen Ke‐Neng 
Published: March 2022

AbstractHeterotopic pancreas is a rare congenital abnormality that occurs during the growth and development process. It can be found in any part of the digestive tract, but the most common sites are the stomach, duodenum, and jejunum. Malignant transformation especially in the esophagus is rare. Here, we aim to report an unusual case of mid‐esophageal adenocarcinoma that originated from a heterotopic pancreas.
Risk of posterior capsule rupture in patients with type 2 diabetes mellitus and diabetic retinopathy during phacoemulsification cataract surgery
Authors: Dawson Valerie J. , Patnaik Jennifer L. , Wildes Michael , Bonnell Levi N. , Miller D. Claire , Taravella Michael J. , Lynch Anne M. , Christopher Karen L. 
Published: March 2022

AbstractPurposeTo determine whether type 2 diabetes mellitus (T2DM) with and without diabetic retinopathy (DR) is independent risk factor for posterior capsular rupture (PCR) during cataract surgery.MethodsA retrospective study was conducted from 2014 to 2019. Patients from the University of Colorado Cataract Outcomes Database who had undergone phacoemulsification cataract surgery were included. Patients with traumatic, congenital or polar cataracts, type 1 diabetes or less than 18 years old were excluded. The primary outcome was incidence of PCR during surgery in patients with T2DM with and without DR, accounting for previous intravitreal anti‐VEGF injections (IVI).ResultsA total of 6636 patients were included. A PCR occurred in 59 (0.5%) of 10 893 eyes studied: 35 (0.4%) eyes in patients without diabetes, comparatively to 13 (0.7%) eyes with T2DM without DR (p = 0.142) and 11 (1.8%) eyes with DR (p < 0.0001). All groups with previous IVI demonstrated a significant increase in PCR compared with eyes without IVI or T2DM. In the absence of IVI, T2DM without DR was not significant (p = 0.520), but T2DM with DR had a significantly increased risk of PCR in univariate analysis (OR 3.55, 95% CI: 1.49,8.50, p = 0.004) and an increased risk of borderline significance in multivariate analysis (AOR 2.33, 95% CI: 0.98, 5.56, p = 0.056).ConclusionPrevious IVI is an independent risk factor for PCR. Diabetic retinopathy without previous IVI is likely a risk factor but was of borderline significance due to small sample size. Consideration of PCR risk should be given during surgical planning for patients with DR and/or previous IVI.
Geological origin of the archaeological obsidian artifacts from the Holocene sequences of Mochena Borago and Yabello, southern Ethiopia
Authors: Negash Agazi 
Published: March 2022

AbstractObsidian archaeological artifacts from the Holocene occupation sequences at the contemporary sites of Mochena Borago and Yabello, southern Ethiopia, have been characterized using electron microprobe analysis. Results show the artifacts of each site were partially procured from two separate but known sources, Bantu and Chebe. The inhabitants of both sites also seem to have used obsidian from another, as yet unknown, source. This is interesting as the inhabitants of each site pursued different life ways: one entirely dependent on wild animals and the other incorporating domestic fauna. In spite of the analysis of many geological sources in the Ethiopian Rift System, the unknown sources cannot yet be determined. Despite erupting from several vents, one of the sources, Chebe, has uniform elemental chemistry, representing an exception to the widely held assumption that every eruptive sequence has unique chemistry, the archaeological significance of which should be further explored.
Transcriptional suppression of Dicer by HOXB‐AS3/EZH2 complex dictates sorafenib resistance and cancer stemness
Authors: Tseng Chi‐Feng , Chen Li‐Tzong , Wang Horng‐Dar , Liu Yi‐Hong , Shiah Shine‐Gwo 
Published: March 2022

AbstractSorafenib is a multikinase inhibitor for the standard treatment of advanced liver cancer patients. However, acquired resistance to sorafenib is responsible for a poor prognosis. Therefore, uncovering the molecular mechanisms underlying sorafenib sensitization can provide biomarkers for sorafenib treatment and improve sorafenib activity in a precise medication. Here, we report that epigenetic suppression of Dicer by the HOXB‐AS3/EZH2 complex is responsible for sorafenib resistance. We observed that Dicer expression is inversely correlated with EZH2 levels, HOXB‐AS3 expression, sorafenib resistance, and cancer stem cell properties in liver cancer patients. Furthermore, ectopic expression of Dicer induced liver cancer cells resensitization to sorafenib. Mechanistically, we found HOXB‐AS3 physically interacts with EZH2 and recruits EZH2 to the Dicer promoter, resulting in epigenetic suppression of Dicer expression. These findings reveal that HOXB‐AS3/EZH2 complex–mediated Dicer suppression plays an important role in sorafenib resistance and cancer stemness and provide potential therapeutic strategies for diagnosing and treating liver cancer patients.
Trends in cervical cancer incidence and mortality of young and middle adults in Japan
Authors: Tanaka Sayo , Palmer Matthew , Katanoda Kota 
Published: March 2022

AbstractIn most high‐resource countries with organized screening programs, the incidence and mortality of cervical cancer is decreasing. Recent statistics have also revealed a reduction in invasive cervical cancer incidence as a result of national vaccination programs. Paradoxically, cervical cancer incidence has increased in Japan, particularly amongst women of reproductive age. This study aimed to examine the trends in cervical cancer incidence and mortality for young and middle adult women in Japan, by analyzing trends in 10‐year interval age‐groups. Cervical cancer incidence for young and middle adult women (ages 20‐59 years) was obtained from high‐quality population‐based cancer registries in three prefectures from 1985 to 2015. National cancer mortality data were obtained from published vital statistics from 1985 to 2019. Trends in crude and age‐standardized rates (ASR) were analyzed using Joinpoint regression. The cervical cancer incidence trend in 20‐59‐year‐old women combined significantly increased over the observation period. Both crude and ASR increased from 1985 to 2015 with an annual percent change (APC) of +1.6% (95% confidence interval, 1.1, 2.1) and +1.7% (1.2, 2.3), respectively. Similar increases were seen in ages 20‐29, 30‐39, and 40‐49 years with higher APCs especially in 20s and 30s. Both crude and ASR mortality significantly increased after the early 1990s in ages 20‐59 years combined. Based on the recognition that current cervical cancer control strategies in Japan have not been effective in reducing the cervical cancer burden in young and middle adults, promotion of screening and vaccination should be urgently strengthened.
Artificial intelligence to classify ear disease from otoscopy: A systematic review and meta‐analysis
Authors: Habib Al‐Rahim , Kajbafzadeh Majid , Hasan Zubair , Wong Eugene , Gunasekera Hasantha , Perry Chris , Sacks Raymond , Kumar Ashnil , Singh Narinder 
Published: March 2022

AbstractObjectivesTo summarise the accuracy of artificial intelligence (AI) computer vision algorithms to classify ear disease from otoscopy.DesignSystematic review and meta‐analysis.MethodsUsing the PRISMA guidelines, nine online databases were searched for articles that used AI computer vision algorithms developed from various methods (convolutional neural networks, artificial neural networks, support vector machines, decision trees and k‐nearest neighbours) to classify otoscopic images. Diagnostic classes of interest: normal tympanic membrane, acute otitis media (AOM), otitis media with effusion (OME), chronic otitis media (COM) with or without perforation, cholesteatoma and canal obstruction.Main outcome measuresAccuracy to correctly classify otoscopic images compared to otolaryngologists (ground truth). The Quality Assessment of Diagnostic Accuracy Studies Version 2 tool was used to assess the quality of methodology and risk of bias.ResultsThirty‐nine articles were included. Algorithms achieved 90.7% (95%CI: 90.1–91.3%) accuracy to difference between normal or abnormal otoscopy images in 14 studies. The most common multiclassification algorithm (3 or more diagnostic classes) achieved 97.6% (95%CI: 97.3–97.9%) accuracy to differentiate between normal, AOM and OME in three studies. AI algorithms outperformed human assessors to classify otoscopy images achieving 93.4% (95%CI: 90.5–96.4%) versus 73.2% (95%CI: 67.9–78.5%) accuracy in three studies. Convolutional neural networks achieved the highest accuracy compared to other classification methods.ConclusionAI can classify ear disease from otoscopy. A concerted effort is required to establish a comprehensive and reliable otoscopy database for algorithm training. An AI‐supported otoscopy system may assist health care workers, trainees and primary care practitioners with less otology experience identify ear disease.
Health‐related quality of life for normal glycaemia, prediabetes and type 2 diabetes mellitus: Cross‐sectional analysis of the ADDITION‐PRO study
Authors: Leal Jose , Becker Frauke , Feenstra Talitha , Pagano Eva , Jensen Troels Mygind , Vistisen Dorte , Witte Daniel R. , Jorgensen Marit Eika 
Published: March 2022

AbstractAimsWe estimated and compared health‐related quality of life for individuals with normal glucose tolerance, prediabetes and diabetes.MethodsParticipants in the ADDITION‐PRO study, Denmark, who attended a health assessment between 2009 and 2011, and who completed the 3‐level EuroQoL 5‐dimensions (EQ‐5D‐3L) questionnaire were included. For the present study, they were classified as normal glucose tolerance, prediabetes and diabetes (screen‐detected and known) using the 2019 American Diabetes Association criteria. Prediabetes was defined as impaired fasting glucose, impaired glucose tolerance or HbA1c between 5.7–6.4% (39–47 mmol/mol). EQ‐5D‐3L data were converted into utility scores using Danish and UK values, where ‘1’ equals full health and ‘0’ equals death. Regression models estimated the association between utility and the different glucose health states.ResultsThe mean EQ‐5D‐3L score in the sample population was 0.86 ± 0.17 (median 0.85, interquartile range 0.76 to 1) using UK values. Almost half of the sample (48%) reported full health with an EQ‐5D score of ‘1’. Individuals with known diabetes reported the lowest EQ‐5D‐3L utility scores (0.81 ± 0.20), followed by individuals with screen‐detected diabetes (0.85 ± 0.19), prediabetes (0.86 ± 0.17) and normal glucose tolerance (0.90 ± 0.15). The differences were statistically significant for normal glucose and known diabetes relative to prediabetes, after adjusting for sex, age, smoking, BMI and physical activity. These findings also held using Danish values albeit the differences were of smaller magnitude.ConclusionsHaving prediabetes and diabetes was significantly associated with lower health‐related quality of life relative to normal glucose tolerance. Our estimates will be useful to inform the value of interventions to prevent diabetes or prediabetes.
Efficacy of lower doses of pioglitazone after stroke or transient ischaemic attack in patients with insulin resistance
Authors: Spence J. David , Viscoli Catherine , Kernan Walter N. , Young Lawrence H. , Furie Karen , DeFronzo Ralph , Abdul‐Ghani Muhammad , Dandona Paresh , Inzucchi Silvio E. 
Published: March 2022

AbstractAimsPioglitazone is a potent insulin‐sensitizing drug with anti‐atherosclerotic properties, but adverse effects have limited its use. We assessed the benefits and risks of lower versus higher doses of pioglitazone taken by participants in the Insulin Resistance Intervention in Stroke Trial.Materials and MethodsEfficacy [myocardial infarction (MI) or recurrent stroke] new‐onset diabetes) and adverse outcomes (oedema, weight gain, heart failure and bone fracture) were examined for subjects assigned to pioglitazone or placebo within strata defined by mode dose of study drug taken (i.e. the dose taken on most days in the study).ResultsAmong the 1938 patients randomized to pioglitazone, the mode dose was <15 mg/day in 546 participants, 15 mg/day in 128, 30 mg/day in 89, and 45 mg/day in 1175. There was no significant effect on stroke/MI or new‐onset diabetes with <15 mg/day. For 15 mg/30 mg/day pooled, the adjusted hazard ratios (95% CI) for stroke/MI were 0.48 (0.30, 0.76; p = .002) and 0.74 (0.69, 0.94) for 45 mg/day. For new‐onset diabetes, the adjusted hazard ratios were 0.34 (0.15, 0.81; p = .001) and 0.31 (0.59, 0.94; p = .001) respectively.For oedema, weight gain and heart failure, the risk estimates for pioglitazone were lower for subjects taking <45 mg daily. For fractures, the increased risk with pioglitazone was similar across all dose strata.ConclusionsLower doses of pioglitazone appear to confer much of the benefit with less adverse effects than the full dose. Further study is needed to confirm these findings so that clinicians may optimize dosing of this secondary prevention strategy in patients with stroke.