bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methylphenidate for Children and Adolescents with Attention Deficit Hyperactivity Disorder (ADHD) – unpublished or unregistered randomised clinical trials
Authors: Kristensen Magnus Tang , Gluud Christian , Storebø Ole Jakob 
Published: August 2023

AbstractIntroductionThis is a follow-up study on our recent systematic review by Storebø and colleagues on methylphenidate for children and adolescents with attention-deficit/hyperactivity disorder (ADHD) published in The Cochrane Library. We aim to investigate the risks of research waste and publication bias in randomised clinical trials investigating methylphenidate versus placebo or no intervention for children and adolescents with ADHD.MethodThe method used includes our initial cohort of randomised clinical trials selected from searchingClinicaltrials.govand the EUCTR with the following criteria: methylphenidate versus placebo or no intervention with or without co-interventions for children or adolescents with ADHD, randomised clinical trials, any dosage, any delivery method, and at least 75% children and adolescents with ages less than 18 years as well as a time period of 1999-2022.Our primary objective is to assess how many randomised clinical trials of methylphenidate on children and adolescents with ADHD are registered in protocol databases, but never published in academic literature or as tabular summary results. The number of participants included in these trials is a secondary objective. Our third objective is to examine the relationship between trial results and the chance of being published. Our fourth objective is to assess the time from registry to publication of randomised clinical trials of methylphenidate on children and adolescents with ADHD in either a journal or as summary results, and the number of participants in these trials. The cutoff time for a publication to be considered timely published will be 6 months, as per European Medicines Agency guidelines for clinical trials involving children.ResultsThis is our protocol for the study and no results are presently available.
Electrocardiogram and Photoplethysmogram-based Heart Rate Variability Are Not Equivalent: A Bayesian Simulation Analysis
Authors: Dewig Hayden G , Cohen Jeremy N , Renaghan Eric J , Leary Miriam E , Leary Brian K , Au Jason S. , Tenan Matthew S 
Published: August 2023

AbstractBackgroundHeart rate variability (HRV) is a common measure of autonomic and cardiovascular system function assessed via electrocardiography (ECG). Consumer wearables, commonly employed in epidemiological research, use photoplethysmography (PPG) to report HRV metrics (PRV), although these may not be equivalent. One potential cause of dissociation between HRV and PRV is the variability in pulse transit time (PTT). This study sought to determine if PPG-derived HRV (i.e., PRV) is equivalent to ECG-derived HRV and ascertain if PRV measurement error is sufficient for a biomarker separate from HRV.MethodsThe ECG data from 1,084 subjects were obtained from the PhysioNet Autonomic Aging dataset, and individual PTT variances for both the wrist (n=42) and finger (n=49) were derived from Mol et al. A Bayesian simulation was constructed whereby the individual arrival times of the PPG wave were calculated by placing a Gaussian prior on the individual QRS-wave timings of each ECG series. The standard deviation of the prior corresponds to the PTT variances. This was simulated 10,000 times for each PTT variance. The root mean square of successive differences (RMSSD) and standard deviation of N-N intervals (SDNN) were calculated for both HRV and PRV. The Region of Practical Equivalence bounds (ROPE) were set a priori at ±0.2% of true HRV. The Highest Density Interval (HDI) width, encompassing 95% of the posterior distribution, was calculated for each PTT variance.ResultsThe lowest PTT variance (2.0 SD) corresponded to 88.4% within ROPE for SDNN and 21.4% for RMSSD. As the SD of PTT increases, the equivalence of PRV and HRV decreases for both SDNN and RMSSD. Thus, between PRV and HRV, RMSSD is nearly never equivalent and SDNN is only somewhat equivalent under very strict circumstances. The HDI interval width increases with increasing PTT variance, with the HDI width increasing at a higher rate for RMSSD than SDNN.ConclusionsFor individuals with greater PTT variability, PRV is not a surrogate for HRV. When considering PRV as a unique biometric measure, our findings reveal that SDNN has more favorable measurement properties than RMSSD, though both exhibit a non-uniform measurement error.
Innovative quantitative PCR assays for the assessment of HIV-associated cryptococcal meningoencephalitis in Sub-Saharan Africa
Authors: Mbangiwa Tshepiso , Sturny-Leclère Aude , Lechiile Kwana , Kajanga Cheusisime , Boyer-Chammard Timothée , Hoving Jennifer C. , Leeme Tshepo , Moyo Melanie , Youssouf Nabila , Lawrence David S. , Mwandumba Henry , Mosepele Mosepele , Harrison Thomas S , Jarvis Joseph N , Lortholary Olivier , Alanio Alexandre 
Published: August 2023

AbstractBackgroundCryptococcal meningitis (CM) accounts for about 10-20% of AIDS-defining illnesses with a 10-week mortality rate of 25-50%. Fungal load assessed by colony-forming unit (CFU) counts is used as a prognostic marker and to monitor response to treatment in research studies. PCR-based assessment of fungal load could be more rapid and less labor-intensive.MethodsWe developed and validated species-specific qPCR assays based on DNA amplification of a Quorum Sensing Protein 1 (QSP1);QSP1A,QSP1B/C, andQSP1D that are specific toC. neoformans,C. deneoformansandC. gattiispecies, respectively, and a pan-Cryptococcusassay based on a multicopy28S rRNAgene. We tested these assays for species identification (QSP1) and quantification (QSP1 ans 28S) on cerebrospinal fluid (CSF) of 209 CM patients at baseline (Day 0) and during anti-fungal therapy (Day 7 and Day 14), from the AMBITION-cm trial in Botswana and Malawi (2018-2021).FindingsWhen compared to quantitative cryptococcal culture (QCC) as the reference, the sensitivity of the28S rRNAandQSP1assays were 98.2% [95% CI: 95.1-99.5] and 90.4% [95% CI: 85.2-94.0] respectively in cerebrospinal fluid (CSF) at Day 0. Quantification of the fungal load withQSP1and28S rRNAqPCR correlated with QCC (R2=0.73, R2=0.78, respectively). Both Botswana and Malawi had a predominantC. neoformansprevalence of 67% [95% CI: 55, 75] and 68% [95% CI: 57, 73], respectively and lowerC. gattiirates of 21% [95% CI: 14, 31] and 8% [95% CI: 4, 14], respectively. We identified 10 patients that, after 14 days of treatment, harboured viable but non-culturable yeasts based onQSP1RNA detection (without any positive CFU in CSF culture).InterpretationQSP1and28S rRNAassays are useful in identifyingCryptococcusspecies. qPCR results correlated well with baseline QCC and showed a similar decline in fungal load during induction therapy. These assays have a quick turnaround time and could be used in place of QCC to determine fungal load clearance. The clinical implications of the detection of possibly viable but non-culturable cells in CSF during induction therapy remain unclear.FundingThe AMBITION-cm clinical trial which was funded by the European and Developing Countries Clinical Trials Partnership; Swedish International Development Cooperation Agency; Wellcome Trust / Medical Research Council (UK) / UKAID Joint Global Health Trials and National Institute for Health Research (UK).
AAM/goods delivery: main enablers for BVLOS routine operations within environment at low and medium risk
Authors: Menichino Aniello , Di Vito Vittorio , Ariante Gennaro , Del Core Giuseppe 
Published: August 2023

Purpose
Theadvanced air mobility (AAM) is defined by National Aeronautics and Space Administration (NASA) as safe, accessible, automated and affordable air transportation system for passengers and cargo, capable of serving previously hard-to-reach urban and rural sites. The purpose of this paper is to focus on explaining potential solutions, under study by the authors, which could support beyond visual line of sight (BVLOS) operations for goods delivery in a safe way.

Design/methodology/approach
According to recent NASA-commissioned market studies, by 2030, there will be as many as 500 million flights a year for package delivery services and 750 million flights a year for passengers’ transportation (AAM). A significant number of these aircrafts will be unmanned aerial vehicles, meaning that they are self-flying or autonomous, of which the smallest ones are quadcopters: they are relatively inexpensive and are capable to perform various tasks, such as aerial observation, crop monitoring and treatment, search and rescue, power line monitoring and goods delivery. On the other hand, there are still many difficulties in introducing them into medium- and low-risk BVLOS routine operations for goods delivery: unfortunately, there are no regulations and technologies yet that enable these operations.

Findings
This conceptual paper outlines the studies about possible solutions, identified by authors, which could support BVLOS operations in a medium- and low-risk environment; in particular, the following aspects have been analysed: regulations, integrating control systems for drones, sensors (on board obstacle detection and avoidance), emergency management (emergency on ground system to identify safe landing areas), concepts of droneway (or flight corridors) and drones recovery hub.

Originality/value
The purpose of this paper is to provide a conceptual description of the possible solutions, under study by the authors, which could contribute enabling the BVLOS operations in a medium- and low-risk environment. The paper aims describing the state of the art, terms of regulations, classifications and limitations and describing possible conceptual solutions that could guarantee safety in introducing unmanned aircraft system operations inside urban areas.
An analysis of dependency of stock markets after unlimited QE announcements during COVID-19 pandemic
Authors: Puarattanaarunkorn Ornanong , Autchariyapanitkul Kittawit , Kiatmanaroch Teera 
Published: August 2023

PurposeUnlimited quantitative easing (QE) is one of the monetary policies used to stimulate the economy during the coronavirus disease 2019 (COVID-19) pandemic. This policy has affected the financial markets worldwide. This empirical research aims at studying the dependence among stock markets before and after unlimited QE announcements.Design/methodology/approachThe copula-based GARCH (1,1) and minimum spanning tree models are used in this study to analyze 14 series of stock market data, on 6 ASEAN and 8 other countries outside the region. The data are divided into two periods to compare the differences in dependence.FindingsThe findings show changes in dependence among the volatility of daily returns in 14 stock markets during each period. After the unlimited QE announcement, the upper tail dependence became more apparent, while the role of the lower tail dependence was reduced. The minimum spanning tree can show the close relationships between stock markets, indicating changes in the connection network after the announcement.Originality/valueThis study allows the dependency to be compared between stock market volatility before and after the announcement of unlimited QE during the COVID-19 pandemic. Moreover, the study fills the literature gap by combining the copula-based GARCH and the minimum spanning tree models to analyze and reveal the systemic network of the relationships.
A brand loyalty–risk framework in the luxury watch market
Authors: Silva Pedro , Moreira António Carrizo , Almeida Sílvia , Moutinho Victor 
Published: August 2023

PurposeIn a society that encourages consumption, attributes such as exclusivity and social recognition are important in what is intended to be restricted to a certain exclusive segment. Luxury is something that is more desirable than necessary. This study develops and tests a model that analyses the brand loyalty–risk relationship in the luxury watch market.Design/methodology/approachTo test the proposed research model, a sample of 306 international consumers and enthusiasts of luxury brand watches was collected. The data were analysed using structural equation modelling.FindingsThe results show that perceived quality has a negative indirect influence on brand risk and brand trust has a strong direct negative effect on brand risk. However, the findings also show that in the luxury market, the greater the affection for the brand, the greater the risk perceived by consumers.Research limitations/implicationsThe study was conducted in a single market, luxury watches and the sample includes both enthusiasts and consumers of the luxury brands.Practical implicationsManagers should be aware of the double-edged role of brand affect on brand risk. The quality of a brand and the trust in its promise decrease the risk to the consumer.Originality/valueThis pioneering study is one of the first to approach an underexplored topic as is the case of the risk associated with a brand in the context of the luxury goods market. Moreover, it relies on an international sample composed of consumers from several countries.
Critical factors influencing the internet of things technology adoption behavior of construction companies: evidence from China
Authors: Zhao Yaqi , Hao Shengyue , Chen Zhen , Zhou Xia , Zhang Lin , Guo Zhaoyang 
Published: August 2023

PurposeLimited use of Internet of Things (IoT) technology on construction sites has restricted its value in the construction industry. To propel its widespread application, this paper explores the influencing factors and action paths of construction companies' IoT technology adoption behavior.Design/methodology/approachFirst, literature research, technology adoption theories, and semi-structured expert interviews were employed to build the adoption model. Second, a questionnaire survey was conducted among Chinese construction contractors to collect empirical data. Third, the structural equation model method and regression analysis were used to test the adoption model. Finally, the findings were further validated with interviews, case studies, and field observations.FindingsExternal environmental pressure (EEP), perceived benefit (PB), top management support (TMS), company resource readiness (CRR), adoption intention (AI), and perceived compatibility (PCA) have a direct positive impact on adoption behavior (AB). In contrast, perceived cost (PC) and perceived complexity (PCL) exert a direct negative impact on AB. The EEP, PB, and PC are critical factors affecting AB, whereas AI is strongly affected by CRR and TMS. Besides, AI plays a part mediating role in the relationship between seven factors and AB. Company size and nature positively moderate AI's positive effect on AB.Originality/valueThis paper contributes to the knowledge of IoT technology adoption behavior in the construction sector by applying the technology adoption theories. Exploring the implementation barriers and drivers of IoT technology in construction sites from the perspective of organizational technology adoption behavior and introducing moderating variables to explain adoption behavior are innovations of this paper. The findings can help professionals better understand the IoT technology adoption barriers and enhance construction companies' adoption awareness, demand, and ability. This work also provides a reference for understanding the impact mechanism of the adoption behavior of other innovative technologies in construction.
How to improve the smart construction technology usage behavior of construction enterprise employees? — TOE framework based on configuration study
Authors: Xue Hong , Zhang Sujie , Wu Zezhou , Zhang Lin 
Published: August 2023

PurposeDespite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.Design/methodology/approachA mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.FindingsThe TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.Practical implicationsThe four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.Originality/valueThe inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.
How risk factors lead to the early termination of public–private partnership projects in China: a multi-case study based on social network analysis and interpretive-structure modeling
Authors: Liu Yunfeng , Wang Xueqing , Zhang Jingxiao , Guo Sijia 
Published: August 2023

PurposeEarly termination of public–private partnerships (PPPs) in China is caused by various risk factors, resulting in significant losses. This study aimed to clarify the key factors and identify the causal relationships among these factors.Design/methodology/approachSocial network analysis (SNA) was used to analyze 37 risk factors that were summarized from 97 early terminated PPP cases and to identify the relationships among these key risk factors. Interpretive structural modeling (ISM) was conducted to explore the causal relationships. Data were collected from case documents, questionnaires and interviews.FindingsA total of 17 key risk factors were identified and distributed in a hierarchical structure with six tiers. Among these key risk factors, the root causes affecting the early termination of PPP projects were government oversight in decision-making, local government transition, policy and law changes and force majeure. The direct cause was insufficient returns. Furthermore, local government and private sector defaults were essential mediating factors. Local government transition and the low willingness of the private sector were highlighted as potential key risks.Research limitations/implicationsThe cases and experts were all from China, and outcomes in other countries or cultures may differ from those of this study. Therefore, further studies are required.Practical implicationsThis research provides knowledge regarding the key risk factors leading to the early termination of PPP projects and guidance on avoiding these factors and blocking the factors' transmission in the project lifecycle.Originality/valueThis study contributes to the knowledge of risk management by emphasizing the importance of local government transition, the low willingness of the private sector and project cooperation and operation, whose significance is ignored in the existing literature. The proposed ISM clarifies the role of risk factors in causing early termination and explains their transmission patterns.
Assessing the development and multidimensional constraints of the high-quality construction industry in the Chengdu-Chongqing twin-city economic circle
Authors: Wan Jiangjun , Zhao Yuxin , Chen Miaojie , Zhu Xi , Lu Qingyu , Huang Yuwei , Zhao Yutong , Zhang Chengyan , Zhu Wei , Yang Jinxiu 
Published: August 2023

PurposeThe construction industry accounts for a large proportion of the economy of developing countries, but the connotation and influencing factors of high-quality development (HQD) are still unclear. This study aims to gain a more comprehensive insight into the current development status of the regional construction industry under China's HQD orientation and the obstructive factors affecting its development and to provide informative suggestions for its HQD prospects.Design/methodology/approachIn this study, the construction industry of 16 cities in the Chengdu-Chongqing economic circle (CCEC), a new region in southwest China, was used as the research object to collect data from the 2006–2019 yearbooks, construct an evaluation index system for HQD of the construction industry, derive the development level of the construction industry using the entropy value method and spatial autocorrelation method and then apply the barrier Diagnostic model was used to compare and analyze the impact level of each index.FindingsIn terms of the time dimension, the development of the construction industry in CCEC is characterized by “high in the twin core and low in the surrounding area”, with unbalanced and insufficient development; in terms of spatial correlation, some factors have positive aggregation in spatial distribution, but the peripheral linkage decreases; through barrier analysis, the impact of different barrier factors is different.Originality/valueThis paper will help governments and enterprises in developing countries to make urban planning and management policies to fundamentally improve the development of the construction industry in underdeveloped regions.