bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating the Number of Self-Harm Events Not Identified by Encounter Diagnoses in Health Records
Authors: Simon Gregory E , Shortreed Susan M , Boggs Jennifer M , Clarke Gregory N , Rossom Rebecca C , Richards Julie E , Beck Arne 
Published: September 2020

ABSTRACTBackgroundPublic health and research assessment of self-harm or suicide attempts must sometimes rely on health system records. Previous research regarding accuracy of encounter or billing diagnoses to identify self-harm or suicide attempt has yielded mixed results.MethodsUsing data from a large pragmatic trial of outreach to prevent suicide attempt, investigators identified ICD-10-CM diagnostic codes in categories where suicide attempt or self-harm might be missed or misclassified: injuries and poisonings coded as having “undetermined intent, injuries and poisonings coded as accidental, and injuries with no coding of intent. For injury and poisoning events with these selected codes, relevant text was extracted from full-text electronic health records and rated by a blinded panel of investigators as indicating or not indicating self-harmResultsDiagnostic codes selected for review include 43 codes for injuries and poisonings with undetermined intent, 26 codes for accidental injuries and poisonings, and 46 codes for injuries without coding of intent. Among injury and poisoning events in this sample, full-text records were available for review for 60 coded as undetermined intent, 173 coded as accidents, and 288 with no coding of intent. After review of text, raters judged 46 (77%), 152 (88%), and 275 (95%) respectively as having adequate text documentation for confident rating of self-harm intent. Among those with adequate text for confident rating, the proportions of events classified as due to self-harm were 19% for injuries and poisonings coded as undetermined intent, 6% for injuries and poisonings coded as accidents, and 15% for injuries without coding of intent.ConclusionsIn this sample of people at high risk for self-harm or suicide attempt, we low rates of misclassified self-harm events among injuries and poisonings coded as having undetermined intent, accidental intent, or no coding of intent. In this sample, inclusion of all misclassified events identified through this search process would increase the total number of self-harm events identified by approximately 10%.
Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance
Authors: Hägg Sara , Jylhävä Juulia , Wang Yunzhang , Czene Kamila , Grassmann Felix 
Published: September 2020

AbstractSomatically acquired whole chromosome loss in nucleated blood cells is an indicator of immune aging and genomic instability. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial (MT) DNA abundance. In this study, MT DNA abundance was estimated from the weighted intensities of probes mapping to the MT genome in 295,150 participants from the UK Biobank. We found that abundance of MT DNA was significantly elevated in women compared to men, was negatively correlated with advanced age, more packyears, greater body-mass index, higher frailty index as well as elevated red and white blood cell count and, importantly, lower mortality. In addition, several biochemistry markers in blood related to cholesterol metabolism, ion homeostasis and kidney function were found to be significantly associated with MT DNA abundance. By performing a genome-wide association study, we identified 50 independent regions genome-wide significantly associated with MT DNA abundance which harbour multiple genes involved in the immune system, cancer as well as mitochondrial function. Using mixed effects models, we estimated the SNP-heritability of MT DNA abundance to be around 8%. To investigate the consequence of altered MT DNA abundance, we performed a phenome-wide association study and found that MT DNA abundance is involved in risk for leukaemia, hematologic diseases as well as hypertension. Thus, estimating MT DNA abundance from genotyping arrays has the potential to provide novel insights into age- and disease relevant processes, particularly those related to immunity and established mitochondrial functions.
Facilitating factors for the job placement of workers with intellectual disabilities: supervisors and coworker mentors perspectives
Authors: Pellicena Miquel Àngel , Ivern Ignasi , Giné Climent , Múries Olga 
Published: September 2020

Purpose
This study aims to contribute to a better understanding of organizational strategies, attitudes and supports that can help people with intellectual disabilities to access competitive jobs through supported employment.

Design/methodology/approach
A multiple case study was carried out based on an intentional sampling involving the coworker mentors of six people with intellectual disabilities currently working in standardized environments. Semi-structured interviews were performed with the participants, and an inductive thematic analysis was used for data analysis.

Findings
The study identified five critical factors in the work of people with intellectual disabilities in standardized work environments, which potentially could act as facilitators or as obstacles, depending on how they were managed. The study also identified two key factors that acted mainly as facilitators and one as an obstacle.

Originality/value
The study reveals the existence of factors that sometimes act as facilitators and sometimes as obstacles, depending on how they are managed by the company leaders or the disabled worker himself.
Forecasting electricity prices with machine learning: predictor sensitivity
Authors: Naumzik Christof , Feuerriegel Stefan 
Published: September 2020

PurposeTrading on electricity markets occurs such that the price settlement takes place before delivery, often day-ahead. In practice, these prices are highly volatile as they largely depend upon a range of variables such as electricity demand and the feed-in from renewable energy sources. Hence, the purpose of this paper is to provide accurate forecasts..Design/methodology/approachThis paper aims at comparing different predictors stemming from supply-side (solar and wind power generation), demand-side, fuel-related and economic influences. For this reason, this paper implements a broad range of non-linear models from machine learning and draw upon the information-fusion-based sensitivity analysis.FindingsThis study disentangles the respective relevance of each predictor. This study shows that external predictors altogether decrease root mean squared errors by up to 21.96%. A Diebold-Mariano test statistically proves that the forecasting accuracy of the proposed machine learning models is superior.Research limitations/implicationsThe performance gain from including more predictors might be larger than from a better model. Future research should place attention on expanding the data basis in electricity price forecasting.Practical implicationsWhen developing pricing models, practitioners can achieve reasonable performance with a simple model (e.g. seasonal-autoregressive moving-average) that is built upon a wide range of predictors.Originality/valueThe benefit of adding further predictors has only recently received traction; however, little is known about how the individual variables contribute to improving forecasts in machine learning.
Increased success of participatory development designing: the role of independent institution as moderation between community involvement and legislative institution responsiveness
Authors: Nursalim Nursalim , Hakim Abdul , Domai Tjahjanulin , Setyowati Endah 
Published: September 2020

Purpose
The purpose of this study is to examine the role of independent institution as moderation between community involvement and legislative institution responsiveness in Mataram City.

Design/methodology/approach
This research is explanatory research, which explains the effect between variables by hypothesis testing. This research was conducted in Mataram City, West Nusa Tenggara. Population in this study included all stakeholders involved in Mataram City’s participatory planning, including community leaders, legislative institutions (starting from the village/subdistrict, district to city levels) and independent institutions. The sampling was performed using nonprobability sampling technique, namely, quota sampling. The research model with inferential analysis used a structural equation modelling (SEM) with WarpPLS to answer the statements of problems and test the desired hypotheses.

Findings
The research results conclude that community involvement has a direct effect on legislative institution responsiveness and legislative institution responsiveness has a direct effect on the success of participatory development planning. This indicates that all variables in this research influence the success of participatory development planning. However, the indirect effect of legislative institution responsiveness on the success of participatory development planning through the role of independent institution is not significant.

Originality/value
The role of independent institutions as a moderation of the relationship between community involvement and legislative institution responsiveness can be learned as the novelty in this study.
Relational capital, service quality and organizational performance in the Egyptian telecommunication sector
Authors: Abd-Elrahman Abd-Elrahman Hassanein , Ahmed Kamal Jaber Mohamed 
Published: September 2020

PurposeThe purpose of this paper is to empirically investigate the mediating effect of service quality (SQ) in the relationship between relational capital (RC) and organizational performance (OP) within the Egyptian mobile telecommunication setting.Design/methodology/approachA valid research instrument was utilized to conduct a survey of 384 top- middle- and supervisory- level managers from three Egyptian mobile telecommunications companies. The hypothesized direct relationships were tested through multiple linear regression, and the mediating effect was tested using a structural equation modeling technique.FindingsThe results revealed that the firm's “customer and supplier relations” and “marketing capability” positively affect both OP and SQ, “customer knowledge” positively affects SQ only, while “strategic alliances, licensing and agreements” do not have an association with SQ or OP. Moreover, SQ was found fully mediating the effect of RC on OP.Research limitations/implicationsThis is an empirical research applied in the Egyptian telecommunication setting. Its results need further investigation in other settings and countries. Also, traditional limitations of a cross-sectional study apply with respect to the attribution of causality and the time lag effects.Practical implicationsThe optimal procedure for the Egyptian telecommunications companies is to focus their efforts on leveraging all four components of RC in order to improve SQ and consequently enhance their OP. The telecommunications companies must do all they can to connect the unconnected. As the current COVID-19 pandemic crisis has shown, connectivity is a public good.Originality/valueThis is the first research that merges the concepts of RC, SQ and OP in an integrated model, and tests this model empirically in the Egyptian mobile telecommunications setting.
Cooperative goals and dynamic capability: the mediating role of strategic flexibility and the moderating role of human resource flexibility
Authors: Yang Linbo , Gan Chenjing 
Published: September 2020

PurposeThe dynamic capabilities theory indicates that uncertain environments necessitate firms’ dynamic capability. This study aims to examine how dynamic capability can be shaped based on cooperative goal interdependence with supply chain partners by focusing on the mediating role of strategic flexibility and the moderating role of human resource flexibility.Design/methodology/approachQuestionnaire surveys were administered to firm presidents, chief executive officers, chief human resources officers (CHOs) and other senior managers at 300 firms located in China. The data collection process was carried out in one wave with multiple sources. Of the firms contacted, the sample in this study consisted of 233 matched “CHO-other top manager” dyads. Structural equation modeling and the bias-corrected bootstrap method were used to test the proposed causal relationships, moderation model, mediation model and moderated mediation model.FindingsCooperative goal interdependence with both upstream companies and downstream companies was positively related to dynamic capability and strategic flexibility mediated these main effects. Moreover, human resource flexibility moderated the positive direct relationship between strategic flexibility and dynamic capability and the indirect relationships among cooperative goals, strategic flexibility and dynamic capability such that these relationships in companies with high human resource flexibility were stronger than these relationships in companies with low human resource flexibility.Originality/valueThe findings contribute to the literature on dynamic capability by providing empirical evidence regarding the relationships among cooperative goals, strategic flexibility, human resource flexibility and dynamic capability, which enriches the theory of cooperation and competition and suggests a new path to promote dynamic capability.
Concept: fluorescent and waterlock-expansion material to detect potential of corrosion on metal substrate
Authors: Abdul Latif Nurhanis , Mohd Yusof Chan Nadia Nabihah , Sulaiman Lidya , Salim Mohamad Fitri Zaqwan , Zainal Abidin Zul Hazrin , Hisham Shameer , Tajuddin Hairul Anuar , Abu Bakar Amnani , Abdul Halim Norhana 
Published: September 2020

PurposeThis paper aims to discuss the use of the sensor material in coating to detect defects which can cause corrosion on metal substrate. This coating consists of sodium polyacrylate (SP) to detect the presence of water and fluorescence substance 2-[4-(piperidin-1-yl)-5H-chromeno-[2,3-d]pyrimidin-2-yl]phenol [benzopyranopyrimidine (BPP)] to detect crack formation.Design/methodology/approachThe coating resin is a mixture of poly(methyl methacrylate) (PMMA) and poly (methyl vinyl ether-alt-maleic anhydride). The additives are used to provide a visual indicator to the observer for when the coating exhibits any defects, so that quick action can be taken before corrosion develops further. SP has absorbent properties and expand when in contact with water, while BPP exhibits high luminous intensity in its solid form that is easily perceivable when exposed to UV. PVM/MA was used as the binder with ethanol as the solvent. The resistance of this coating towards water penetration was investigated using electrochemical impedance spectroscopy (EIS). The coating’s performance was observed in terms of visible optical appearance.FindingsThe sensor coating developed in this project serves as visual aid to the observer through the expansion of SP and high fluorescence of BPP material after the top coat is physically damaged. These findings are in provision of preventive measures that can be taken in case of top coat failure.Research limitations/implicationsThe resistance of the coating that contained SP could not be investigated with EIS due to its ability to expand immediately when in contact with liquids.Practical implicationsThe coating developed in this study may be to detect corrosion.Originality/valueThe sensor material used has not been previously studied in applications to detect the presence of water or used to detect crack formation.
Novel step selection analyses on energy landscapes reveal how linear features alter migrations of soaring birds
Authors: Eisaguirre Joseph M. , Booms Travis L. , Barger Christopher P. , Lewis Stephen B. , Breed Greg A. 
Published: September 2020

Abstract

Human modification of landscapes includes extensive addition of linear features, such as roads and transmission lines. These can alter animal movement and space use and affect the intensity of interactions among species, including predation and competition. Effects of linear features on animal movement have seen relatively little research in avian systems, despite ample evidence of their effects in mammalian systems and that some types of linear features, including both roads and transmission lines, are substantial sources of mortality.

Here, we used satellite telemetry combined with step selection functions designed to explicitly incorporate the energy landscape (el‐SSFs) to investigate the effects of linear features and habitat on movements and space use of a large soaring bird, the golden eagle Aquila chrysaetos, during migration. Our sample consisted of 32 adult eagles tracked for 45 spring and 39 fall migrations from 2014 to 2017.

Fitted el‐SSFs indicated eagles had a strong general preference for south‐facing slopes, where thermal uplift develops predictably, and that these areas are likely important aspects of migratory pathways. el‐SSFs also provided evidence that roads and railroads affected movement during both spring and fall migrations, but eagles selected areas near roads to a greater degree in spring compared to fall and at higher latitudes compared to lower latitudes. During spring, time spent near linear features often occurred during slower‐paced or stopover movements, perhaps in part to access carrion produced by vehicle collisions.

Regardless of the behavioural mechanism of selection, use of these features could expose eagles and other soaring species to elevated risk via collision with vehicles and/or transmission lines. Linear features have previously been documented to affect the ecology of terrestrial species (e.g. large mammals) by modifying individuals' movement patterns; our work shows that these effects on movement extend to avian taxa.
A framework to diagnose the causes of river ecosystem deterioration using biological symptoms
Authors: Feld Christian K. , Saeedghalati Mohammadkarim , Hering Daniel 
Published: September 2020

Abstract

River assessments are predominantly based on biological metrics and indices selected or designed to integrate the impact of multiple causes of deterioration (stressors) operating at various spatial scales. Yet, the integrative nature of many bioassessment systems does not allow for tracing back individual stressors and their influence on the overall assessment result. Thus, river managers often fail to link bioassessment with programmes of management measures, to improve ecological quality.

Here, we present a novel diagnostic approach that allows to estimate the probability of individual stressors being causal for biological degradation at the scale of individual riverine ecosystems. Similar to medical diagnosis, we use various symptoms (macroinvertebrate metrics) and probabilistically link them to various potential causes of ecological status degradation (stressors). Symptoms and causes are informed by a training dataset of 157 samples (stressors, taxa lists) from central European lowland rivers and are linked through a Bayesian network (BN). Three separate BNs addressing three different spatial scales (catchment, reach and site) are presented.

Water quality‐related causes are most influential at the catchment scale, while hydromorphological causes prevail at finer scales. Causes indicating riparian degradation are most influential at the reach scale. Many symptoms show strong linkages to causes and reveal ecologically meaningful relationships, thus pointing at the potential diagnostic utility of the symptoms selected. BNs are validated using an independent dataset of 47 samples. Overall, model accuracies range 53%–58% for the three BNs, while for individual nodes (causes and symptoms) up to 100% concordance of predicted and actual node states in the validation data is achieved. The BNs are implemented as interactive online diagnostic tools to allow end users an easy application.

Synthesis and applications. Bayesian inference can greatly assist the diagnosis of potential causes of ecosystem deterioration based on a selection of diagnostic biological metrics. If integrated into a Bayesian network, symptoms and potential causes can be linked and inform management decisions on appropriate measures, to improve biological and ecological status. Diagnostic Bayesian networks thus support end users bridge the gap between biological monitoring and appropriate programmes of management measures.
Elemental sulfur reduction by a deep‐sea hydrothermal vent CampylobacteriumSulfurimonassp.NW10
Authors: Wang Shasha , Jiang Lijing , Hu Qitao , Liu Xuewen , Yang Suping , Shao Zongze 
Published: September 2020

SummarySulfurimonasspecies (classCampylobacteria, phylum Campylobacterota) were globally distributed and especially predominant in deep‐sea hydrothermal environments. They were previously identified as chemolithoautotrophic sulfur‐oxidizing bacteria (SOB), whereas little is known about their potential in sulfur reduction. In this report, we found that the elemental sulfur reduction is quite common in different species of genusSulfurimonas. To gain insights into the sulfur reduction mechanism, growth tests, morphology observation, as well as genomic and transcriptomic analyses were performed on a deep‐sea hydrothermal vent bacteriumSulfurimonassp. NW10. Scanning electron micrographs and dialysis tubing tests confirmed that elemental sulfur reduction occurred without direct contact of cells with sulfur particles while direct access strongly promoted bacterial growth. Furthermore, we demonstrated that most species ofSulfurimonasprobably employ both periplasmic and cytoplasmic polysulfide reductases, encoded by genespsrA1B1CDEandpsrA2B2, respectively, to accomplish cyclooctasulfur reduction. This is the first report showing two different sulfur reduction pathways coupled to different energy conservations could coexist in one sulfur‐reducing microorganism, and demonstrates that most bacteria of Sulfurimonas could employ both periplasmic and cytoplasmic polysulfide reductases to perform cyclooctasulfur reduction. The capability of sulfur reduction coupling with hydrogen oxidation may partially explain the prevalenceof Sulfurimonas in deep‐sea hydrothermal vent environments.
Dynamics and tensions of implementing agencification reforms: Experiences of District Development Authorities in Papua New Guinea
Authors: Ugyel Lhawang , Sause Lawrence , Gorea Emmanuel 
Published: September 2020

AbstractAgencification reforms aimed at reducing centralised control and enhancing efficiency by creating arm's‐length autonomous agencies. This paper examines the creation of District Development Authorities (DDA) in Papua New Guinea (PNG). DDAs are typical agencification reforms seeking to empower local governments with greater administrative and financial authority. Using a principal‐agent framework, the experiences of the two DDAs in East New Britain, Kokopo, and Rabaul highlight some of the key challenges and strategies in implementing agencification reforms. Findings of the study revealed that the DDAs in East New Britain adapted the new system while retaining some aspects of the older system, which helped in navigating through the structural changes and the multiple principal‐agent relationships. As a key component of agencification process, these DDAs have also started engaging in revenue generation activities. Such economic activities have the potential to shift the dominant principal‐agent relationship from the national to the local level.