bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critical delay factors for construction projects in Central Aceh District, Indonesia
Authors: Rauzana Anita , Zahrah Aghnia , Dharma Wira 
Published: September 2022

Background: Construction development in Indonesia is growing rapidly, especially in Central Aceh District. Construction projects often experience risks, so that risk events can have a serious impact on the viability of the project. Project delays can result in cost overruns and project losses. Therefore, it is necessary to identify the factors causing project delays.The purpose of this study was to (1) identify the risk factors that cause delays in construction projects and (2) determine those particular risk factors that have a greater influence on construction projects. The location of this research was Central Aceh District. Methods: The data in this study were primary data in the form of a questionnaire and secondary data obtained from the literature related to this particular type of research. Questionnaires were distributed to respondents, namely contractor companies located in the Central Aceh District. The questionnaires were distributed to determine respondents' opinions about the level of influence of risk factors causing project delays. We used a validity test, reliability test, and descriptive analysis for data processing. Results: Based on the results of the study from 47 respondents, the “very high influence” category (Mode=5) for the tool malfunction factor, cost estimation inaccuracy, increased work costs, implementation of new technologies, details, accuracy and conformity to specifications that are not appropriate, worker quarrels, poor project planning and management, poor condition at locations and accessibility difficulty. Conclusions: Of the 80 risk factors that caused project delays, eight risk factors were found to have a very high influence on the implementation of construction projects in Central Aceh District. Practical implications: The results of this study provide knowledge to contractor companies about the delay factors that have the most influence on project implementation so that they are expected to be able to manage risks to avoid losses.
Dataset for the attitudes and practices regarding COVID-19 preventive measures in diverse settings of Mozambique: a qualitative study
Authors: Magaço Amilcar , Cumbane Constantino , Cossa Hermínio 
Published: September 2022

Background: In this data note, we provide the details of a qualitative study database conducted before the first wave of the COVID-19 pandemic in Mozambique. During this period (from September 2020), several compulsory COVID-19 preventive measures were put forth as a response to the emerging pandemic in the country. Data were collected aiming to evaluate home confinement behaviours, household members’ mobility, and the mobility routes and other attitudes and practices related to COVID-19 preventive measures at the community level. Methods: A cross-sectional, descriptive, mixed method study was conducted involving adults from different regions in Mozambique. Data were collected using a combination of rapid ethnography and rapid rural assessment methods consisting of telephone-based semi-structured interviews, informal conversations, non-participant observations and short questionnaires. The COREQ guidelines for reporting qualitative studies were performed. Results: 295 semi-structured interviews (SSI) with adult household members were included in the study. Of these, 23 were conducted face-to-face and 272 by telephone, covering 24 districts and cities in 9 provinces. More than half (53.9%) of participants were females and aged 18 - 98 years old (median [interquartile range] = 35 [29-43]). Most had a relevant role in the household, with formal education and had to leave home for income generating. Conclusion: This data, available in our repository, favours several angles of assessments of behaviour related to home confinement, mobility and routes of a population group prior to the first wave of the COVID-19 outbreak.
The role of genetic factors in microtia: A systematic review
Authors: Putri Indri Lakhsmi , Stephanie Alexandria , Pramanasari Rachmaniar , Kon Moshe , Wungu Citrawati Dyah Kencono 
Published: September 2022

Background: Microtia is a congenital malformation of the outer ears caused by improper embryonic development. The origin of microtia and causes of its variations remain unknown. Because of the lack of clarity regarding the role of genetic variables in microtia, we conducted a systematic review to qualitatively identify the genes most important in the development of microtia to provide an up-to-date review. Methods: Using six search engines, we searched all published studies related to the genetic factors of isolated microtia and syndromic microtia. The identified publications were screened and selected based on inclusion and exclusion criteria by the authors and assessed for methodological quality using the Joanna Briggs Institute (JBI) critical appraisal tools. We found 40 studies, including 22 studies on syndromic microtia and 18 studies on isolated microtia. Data extraction of each study was arranged in tabulation for syndromic and isolated microtia. The extracted data were: first author’s surname, year of publication, country of origin, study design, sample characteristic and gene assessed. Results: After the data were extracted, analyzed, and reviewed, the most common gene suspected to be involved in isolated microtia was Homeobox A2 (HOXA2, 12.1%). Conversely, in syndromic microtia, the two most common genes supposed to play a role were Fibroblast Growth Factor 3 (FGF3, 47.2%) and Treacher–Collins–Franceschetti syndrome 1 (TCOF1, 30.2%). From the studies, the three most prevalent genes associated with microtia were HOXA2 (10%), FGF3 (8.4%), and TCOF1 (5.4%). In syndromic microtia, the most common mutation types were deletion in TCOF1 (46.9%) and missense and deletion in FGF3 (both 38%), and in isolated microtia, the most common mutation type was silent in HOXA2 (54.2%). Conclusions: In summary, genetic factors are involved in microtia; thus, molecular analysis is strongly advised. PROSPERO registration: CRD42021287294 (25/10/21).
Protocol for the perioperative outcome risk assessment with computer learning enhancement (Periop ORACLE) randomized study
Authors: Fritz Bradley , King Christopher , Chen Yixin , Kronzer Alex , Abraham Joanna , Ben Abdallah Arbi , Kannampallil Thomas , Budelier Thaddeus , Montes de Oca Arianna , McKinnon Sherry , Tellor Pennington Bethany , Wildes Troy , Avidan Michael 
Published: September 2022

Background: More than four million people die each year in the month following surgery, and many more experience complications such as acute kidney injury. Some of these outcomes may be prevented through early identification of at-risk patients and through intraoperative risk mitigation. Telemedicine has revolutionized the way at-risk patients are identified in critical care, but intraoperative telemedicine services are not widely used in anesthesiology. Clinicians in telemedicine settings may assist with risk stratification and brainstorm risk mitigation strategies while clinicians in the operating room are busy performing other patient care tasks. Machine learning tools may help clinicians in telemedicine settings leverage the abundant electronic health data available in the perioperative period. The primary hypothesis for this study is that anesthesiology clinicians can predict postoperative complications more accurately with machine learning assistance than without machine learning assistance. Methods: This investigation is a sub-study nested within the TECTONICS randomized clinical trial (NCT03923699). As part of TECTONICS, study team members who are anesthesiology clinicians working in a telemedicine setting are currently reviewing ongoing surgical cases and documenting how likely they feel the patient is to experience 30-day in-hospital death or acute kidney injury. For patients who are included in this sub-study, these case reviews will be randomized to be performed with access to a display showing machine learning predictions for the postoperative complications or without access to the display. The accuracy of the predictions will be compared across these two groups. Conclusion: Successful completion of this study will help define the role of machine learning not only for intraoperative telemedicine, but for other risk assessment tasks before, during, and after surgery. Registration: ORACLE is registered on ClinicalTrials.gov: NCT05042804; registered September 13, 2021.
Experimental study and machine learning model to predict formability of magnesium alloy sheet
Authors: Viswanadhapalli Balaji , V.K Bupesh Raja , Nagaraju Krishna Chythanya 
Published: September 2022

Background: Magnesium alloy is not only light in weight but also possesses moderate strength. Magnesium AZ31-H24 alloy sheet has many applications in the automotive and aerospace industries. Experimental stretch forming tests are performed on this sheet to measure the material’s formability by constructing forming limit diagrams. Methods: Several tests of Nakazima were carried out on rectangular samples at 24, 250, 350°C and 0.01, 0.001 mm/s using a hemispherical punch. The work done to predict the formability of magnesium alloys has not been recorded in recent literature on machine learning models. Hence, the researchers of this article choose to explore the same and build three models to predict the formability of magnesium alloy through Random Forest algorithm, Extreme Gradient Boosting, and Multiple linear Regression. Results: The Random Forest showed high accuracy of 96% in prediction. Conclusions: It is concluded that the need for physical experiments can be greatly minimized in formability studies by using machine learning concepts.
A study protocol to prepare an RBD protein for vaccine against COVID-19
Authors: Jahangir ZMG Sarwar , Marnik Arleta Helena 
Published: September 2022

Background: SARS-CoV-2 pandemic is a global threat to humans and the world’s economy. Effective and safe vaccines against this virus are essential to control and eradicate the pandemic. The currently applied vaccines carry SARS-CoV-2 spike-protein mRNA/cDNA. These vaccines go through several cellular processes in the recipients for producing antigens. On the contrary, the SARS-CoV-2 RBD (receptor binding domain)-protein is an antigen. It will directly stimulate antibody production against SARS-CoV-2. Hence, we propose to produce SARS-CoV-2 RBD-protein as a fast acting, effective and safe vaccine. Methods: We propose to reconstruct a plasmid carrying three types of DNA sequences: RBD cDNA, FP (fusion peptide) DNA and sfGFP(superfolder-green-fluorescent-protein), cDNA creating the RBD-FP-sfGFP DNA within an orf (open-reading-frame). Escherichia coli, C2566H, transformed with the reconstructed plasmid will express RBD-FP-sfGFP fusion protein producing green fluorescent cfu (colony forming unit). The RBD-protein will be separated from the sfGFP using an FP specific enterokinase, and eluted by HIC (hydrophobic-interaction-chromatography), detected with a BioVision-Elisa-Kit, and quantified by spectrophotometry at UV280nm and immune simulation will be carried out using C57BL mice. Results: The plasmid reconstruct will carry ampr (ampicillin-resistant) gene as a selective marker and a T7 promoter controlling the expression of RBD-FP-sfGFP fusion protein. The transformed Escherichia coli will efficiently express the RBD-FP-sfGFP fusion protein. The highly efficient sfGFP fused within the RBD-FP-sfGFP will produce green fluorescent cfu. The RBD-FP-sfGFP protein extract from the green cfu, digested by enterokinase and separated by the HIC will produce pure immunoreactive RBD protein. Conclusion: A positive BioVision-ELISA test detects <10 pg RBD protein/ml of the sample. A larger sample of the purified RBD protein can be used as a vaccine following a standard formulation and safety protocols. Once administered, the RBD protein will stimulate antibody production against the SARS-CoV-2 virus. The RBD protein has no potential to recombine with human genome.
Predicting acceptance and adoption of renewable energy community solutions: the prosumer psychology
Authors: Brambati Francois , Ruscio Daniele , Biassoni Federica , Hueting Rebecca , Tedeschi Alessandra 
Published: September 2022

Background: This paper, in the frame of social acceptance of renewable energies and innovative community-based production and consumption models, aims at supporting a data-driven approach able to deal with climate change and identify and quantify the psycho-sociological dimensions and factors that could support the transition from a technology-driven approach to a consumer-driven approach throughout the emerging “prosumer business models”. In addition to the already existing Social Acceptance dimensions, this paper tries to identify a purely individual psychological fourth dimension to understand the processes and factors that underlie individual acceptance and adoption of new renewable energy business models, with the realization of a Prosumer Acceptance Index. Methods: Questionnaire data collection has been performed throughout an online survey platform, combining standardized and ad-hoc questions adapted for the research purposes, based on the developed theoretical model. To identify the main factors (individual/social) influencing the relation with renewable energy technology adoption, a Factorial Analysis has been conducted to identify the latent variables that are related to each other. Linear regression has been conducted to identify and quantify the factors that could better predict behavioural intention to become a prosumer. Results: Five latent psychological factors were revealed: concern about environmental issues, interest in energy sharing, concern on climate change, social influence and impact on bill cost. Three variables were found to significantly measure and predict the scores of the “Acceptance in becoming a prosumer” ad hoc scale: attitude, economic incentive and age. Conclusions: This research can facilitate policymakers and stakeholders to better understand which relevant psycho-sociological factors are intervening in the renewable energy technology acceptance processes and what and how specifically target when proposing change towards sustainable energy production and consumption.
Performance Evaluation, Managerial Hedging, and Contract Termination
Authors: Huang Yu , Ju Nengjiu , Xing Hao 
Published: September 2022

We develop a dynamic model where a principal contracts with an agent to operate a firm. The agent, protected by limited liability, trades privately a market portfolio to hedge market risk in his compensation. When liquidation cost of the firm is proportional to its size, the principal manages the termination risk by loading the contract with a positive market component, which alleviates termination risk in normal market conditions but makes termination more likely after negative market shocks. The optimal contract displays a dynamic mixture of absolute and relative performance evaluations and is implemented using a dynamic deferred compensation account. This paper was accepted by Agostino Capponi, finance. Funding: Y. Huang acknowledges financial support from the Shanghai Institute of International Finance and Economics and Fudan University [Gao Feng Project]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.4533 .
Experiences of young adults who have transferred from paediatric to adult congenital heart disease services
Authors: Morris Eithne , McKeever Stephen 
Published: September 2022

Background/Aims Congenital heart disease services are continuing to develop, yet little is known about the experiences of those who have transitioned from paediatric to adult services in the UK. This study explored patients' perceptions and lived experiences of this process to identify factors that contribute to positive and negative experiences, with the view of devising strategies to improve transition. Methods A phenomenological hermeneutical study was conducted using semi-structured interviews. The experiences of six young adults (aged 20–24 years) who had transitioned from paediatric to adult congenital heart disease services were explored. Results Participants saw transition as a milestone and they generally accepted outgrowing paediatric services, despite maintaining a sense of nostalgia for this time. Adjustment to a new service was ongoing and parental support was valued, although issues such as anxiety could be a barrier to the participant assuming responsibility for their own care. Good communication with healthcare professionals, involving individualistic care, consistency and patience, was perceived as a positive influence in adapting to the new service. Conclusions Participants mainly had positive experiences of transition from paediatric and adult congenital heart disease services, with parental and healthcare professional support being valued during and after transition. Healthcare professionals must integrate assessment of physical and psychological needs to support and empower patients and families in order to deliver a smooth transition into adult life and care.
Challenges and changes with COVID-19: Canadian paramedics' experiences
Authors: Boechler Lindsey , Ford-Jones Polly , Smith J Chris , Suthers Patrick , Cameron Cheryl 
Published: September 2022

Background: Healthcare systems, practitioners and communities have experienced momentous change and strain because of the COVID-19 pandemic. Although paramedics are an essential component of the public health emergency response, the literature has focused primarily on the views of physicians, nurses and hospital administrators. Aims: This research sought to improve the understanding of the lived experiences of paramedics throughout the initial stages of the COVID-19 outbreak. Methods: The perspectives of paramedics were captured through an online survey consisting predominantly of open-ended questions. Findings: Three main themes describing the experiences of paramedics arose: challenges with change management; changes in day-to-day operations; and implications for mental health. Conclusion: This study has offered insights for future pandemic response in terms of information dissemination, practitioner involvement in policy and operational changes, and mental health and wellbeing support needs during and beyond a pandemic.
ASGBI surgical sustainability survey
Authors: Kenington JC , Lund Consultant J , Papalois V 
Published: September 2022

Introduction The National Health Service (NHS) has committed to reaching ‘net zero’ for greenhouse gas (GHG) production by 2040. Operating theatres produce high levels of GHG. Methods An online survey was conducted of Association of Surgeons of Great Britain and Ireland members regarding their awareness and commitments to sustainable practice. Results There were 136 responses to the survey (10% response rate). Three-quarters (73%) of those responding were male and half (54%) were consultants. One hundred and four respondents (76%) feel that it is the responsibility of all NHS staff to reduce the NHS carbon footprint. However, few currently take active steps to decrease the carbon footprint. Only 42 (31%) always or sometimes use the team briefing at the start of a theatre list to promote sustainable practices, only 39 (28%) of 123 respondents who perform laparoscopic surgery use fully or partly reusable ports and only 50 (53%) of 94 respondents involved in procurement consider the environmental impact during the process. Conclusions The results of this survey suggest a lack of engagement by general surgeons with the issue of high GHG production by operating theatres. Progress towards net zero emissions by 2040 will be challenging unless colleagues are actively engaged. Although there is recognition from those who were surveyed that the reduction of the NHS carbon footprint is everyone’s responsibility, few are taking even small steps to act on that obligation. Awareness of the problem needs to be quickly improved and a suite of practical actions to reduce the carbon footprint in theatre should be produced to facilitate change.
Phase unwrapping algorithm for images with local high-density noise
Authors: Wu Quan , Xu Gui Li , Yan Fu Ju 
Published: September 2022

Due to undersampling and the
local phase with local high-density noise, it is still difficult to
develop a robust phase unwrapping algorithm. In order to
resolve this issue, here, we propose what we believe to be a novel
multiple path-following phase unwrapping (MPIPU) algorithm based on
the shearing interference principle to recover the undersampling phase
(non-noise). By calculating the unwrapping coefficient k, the phase
iteration filling algorithm based on least-squares is developed for
the high-density noise region in order to reconstruct the
three-dimensional surface topography of interferometric synthetic
aperture radar (InSAR) data. The proposed algorithm takes advantage of
the MPIPU’s ability to fill in the missing phase with fitting data and
can successfully suppress the error transfer caused by the blocky
noise phase iteration process. Several experiments are conducted using
both simulated and actual InSAR image data. The experimental findings
show that the proposed method can achieve robust phase unwrapping
performance on a phase of local high-density noise.
The leptomeninges as a critical organ for normal CNS development and function: First patient and public involved systematic review of arachnoiditis (chronic meningitis)
Authors: Palackdkharry Carol S. , Wottrich Stephanie , Dienes Erin , Bydon Mohamad , Steinmetz Michael P. , Traynelis Vincent C. 
Published: September 2022

Background & importanceThis patient and public-involved systematic review originally focused on arachnoiditis, a supposedly rare “iatrogenic chronic meningitis” causing permanent neurologic damage and intractable pain. We sought to prove disease existence, causation, symptoms, and inform future directions. After 63 terms for the same pathology were found, the study was renamedDiseases of the Leptomeninges (DLMs). We present results that nullify traditional clinical thinking about DLMs, answer study questions, and create a unified path forward.MethodsThe prospective PRISMA protocol is published atArcsology.org. We used four platforms, 10 sources, extraction software, and critical review with ≥2 researchers at each phase. All human sources to 12/6/2020 were eligible for qualitative synthesis utilizing R. Weekly updates since cutoff strengthen conclusions.ResultsIncluded were 887/14286 sources containing 12721 DLMs patients. Pathology involves the subarachnoid space (SAS) and pia. DLMs occurred in all countries as a contributor to the top 10 causes of disability-adjusted life years lost, with communicable diseases (CDs) predominating. In the USA, the ratio of CDs to iatrogenic causes is 2.4:1, contradicting arachnoiditis literature. Spinal fusion surgery comprised 54.7% of the iatrogenic category, with rhBMP-2 resulting in 2.4x more DLMs than no use (p<0.0001). Spinal injections and neuraxial anesthesia procedures cause 1.1%, and 0.2% permanent DLMs, respectively. Syringomyelia, hydrocephalus, and arachnoid cysts are complications caused by blocked CSF flow. CNS neuron death occurs due to insufficient arterial supply from compromised vasculature and nerves traversing the SAS. Contrast MRI is currently the diagnostic test of choice. Lack of radiologist recognition is problematic.Discussion & conclusionDLMs are common. The LM clinically functions as an organ with critical CNS-sustaining roles involving the SAS-pia structure, enclosed cells, lymphatics, and biologic pathways. Cases involve all specialties. Causes are numerous, symptoms predictable, and outcomes dependent on time to treatment and extent of residual SAS damage. An international disease classification and possible treatment trials are proposed.