bluuebunny/crossref_metadata_2025_split huggingface dataset:
Co-constructing effective collective intelligence networks in rare diseases: A mixed method approach to identify the parameters that matter for patients, professionals and policy-makers
Authors: Antoniadou Victoria , Hadjipanayis Adamos 
Published: November 2022

Abstract
Background
Rare diseases are a particular field of public health which is characterized by scattered, often insufficient knowledge and infrastructure. The scarcity of specialised knowledge often forces clinicians and patients to an incomplete picture of the diseases and associated risks. Effective person-centred networks appear promising for solving such real world and life-defining problems by purposely sourcing geographically-dispersed specialised knowledge.
The design and implementation of the RARE-e-CONNECT network technology platform is described. The project was funded to create collaborative spaces for the development of international partnerships in Cyprus’ rare disease healthcare, promoting the dissemination of expertise and specialised knowledge on rare diseases while saving resources through tele-consultation. Parameters that matter for patients, professionals and policy-makers through the RARE-e-CONNECT experience were evaluated by using a participatory mixed-methods approach, consisting of (1) a needs assessment survey with 27 patients/families and patients and 26 Healthcare Professionals in the two referral hospitals for the diagnosis and management of rare diseases; (2) interviews with 40 patients, families and patient representatives and 37 clinicians and laboratory scientists, including national ERN coordinators/members; (3) activity metrics from 210 healthcare professionals and 251 patients/families/patient representatives participating on the platform.
Results
Our results indicate usage and intention by health professionals, patients/families to openly provide decentralized specialised information for raising suspicion amongst primary care physicians to facilitate the necessary referrals and lead informed decision-making by patients/families. This article discusses how telehealth is inextricably linked to social, cultural, organisational, technological and policyfactors affecting uptake. User behaviour was largely affected by the prevailing social norm favouring individual practice, as well as missing policies related to telemedicine and shared care.
Conclusions
We argue that collective intelligence tools need to be formally considered and work hand in hand with national and European policies/ regulatory frameworks to promote proactiveness amongst the healthcare community with regards to the timely diagnosis of rare diseases, facilitating the patient pathway to specialists, and establishing collaborative pathways between countries for sourcing collective intelligence on complex cases, saving resources through teleconsultation.
Design Expert-implemented Nimodipine Nanoemulsion: Fabrication, Optimization, and Characterization for Improved Oral Bioavailability and Physical Stability
Authors: Das Prativa , Panda Jnyanaranjan , Jena Goutam Kumar , Patra Ch Niranjan , Panigrahi Kahnu Charan 
Published: November 2022

Abstract

Background
The oral bioavailability and biological half-life (t1/2) of nimodipine(NIMO) are 13%(approximately) and 7-8h, respectively. The poor oral bioavailability and short t1/2 are due to extensive hepatic metabolism. Due to short t1/2, frequent drug administration is required, which leads to the patient being incompliant and inconvenient. In order to improve the oral bioavailability as well as the physical stability, quality by design(QbD)-driven NIMO nanoemulsion was developed with a certain quality target product profile (QTPP). .In this investigation, the three components triacetin as oil phase, labrasol as a surfactant, and plurol oleique CC 497 as co-surfactant were selected after screening. The ratio of surfactant and co-surfactant (Smix) was selected from the pseudo-ternary phase diagram drawn by using ProSim ternary software. A d-optimal mixture design was employed to optimize the formulation. The dynamic light scattering (DLS), FTIR, DSC, X-RD, SEM, in vitro drug release, stability study, and in vivo pharmacokinetic studies were carried out for the characterization of the optimized formulation.
Results
The globule size, PDI, and Zeta potential of the optimized formulation were found to be 322.1 nm, 0.48, and − 14.5 mV respectively. The result of in vivo pharmacokinetic studies exhibited three-fold enhanced oral bioavailability of the optimized nanoemulsion as compared to the pure drug of nimodipine and the physical stability of the optimized nanoemulsion improved significantly as compared to the pure drug.
Conclusion
The NIMO-loaded nanoemulsion can be successfully fabricated by implementing the QbD approach with improved oral bioavailability and physical stability significantly as compared to the pure drug of NIMO.
The effect of green supply chain management practices on the sustainability performance of Turkish shipyards
Authors: Tantan Mehmet , Akdağ Hatice Camgöz 
Published: November 2022

Abstract
The present study examined the green supply chain management (GSCM) practices applied in Turkish shipyards and their impact on three sustainability dimensions: environmental, social, and economic. The GSCM practices examined comprised green design, green purchasing, green production, green marketing, environmental management, and recycling. All these practices are applicable for the shipbuilding industry that creates tangible economic value but also causes substantial environmental and social issues. Already, sustainability implementation, environmentally related regulations, and corporate standards have initiated new design and construction practices in the shipbuilding and shipyards. A research model was created here to test the relationship between six GSCM practices and the three sustainability performance dimensions. The authors utilized an updated, altered survey from recent academic research in the Turkish chemical, electronic, automotive, or food packaging industries. The research revealed that the GSCM practices green design, green purchasing, green production, green marketing, environmental management, and recycling were indicators those selected by the experts in the shipbuilding sector. Furthermore, these selected indicators were tested by SEM-PLS for its significance and relationship within each other. The result was found positively significant for the economic and social performance. Nevertheless, there was no direct improvement in the environmental performance dimension, despite the implementation ISO 14001 certification in 95% of the shipyards. Certificate is the first step for GSCM practices but not means company achieved environmental performance positively. The certification is not enough to justify that the companies are environmentally protected, as well as approval using GSCM. Environmental uncertainty did neither have a moderating effect between GSCM practices and sustainability performances.
High plasma IL-18 identifies high-risk ARDS patients not identified by latent class analysis sub-phenotyping: a secondary analysis of the SAILS and HARP-2 studies
Authors: Moore Andrew R , Pienkos Shaun M , Sinha Pratik , Guan Jiazhen , O’Kane Cecilia M , Levitt Joseph E , Wilson Jennifer G , Shankar-Hari Manu , Matthay Michael A , Calfee Carolyn S , Baron Rebecca M , McAuley Daniel F , Rogers Angela J 
Published: November 2022

Abstract
Background: Both latent class analysis (LCA) assignment based upon a panel of plasma biomarkers and interleukin-18 (IL-18) plasma level have been shown to predict prognosis and treatment response in Acute Respiratory Distress Syndrome (ARDS). Interleukin-18 is a measure of inflammasome activation and plays a distinct role in inflammation that is not captured by the biomarkers used in LCA assignments. We hypothesized that elevated IL-18 would provide additive prognostic and therapeutic information to previously published LCA assignments in ARDS, identifying additional “high-risk” patients not captured by LCA who could be eligible for inclusion in future precision medicine-focused trials.
Methods: IL-18 and a panel of protein markers used for LCA had been previously measured in plasma from 683/745 patients in the Statins for Acutely Injured Lungs from Sepsis (SAILS) and 511/540 patients in the Hydroxymethylglutaryl-CoA reductase inhibition with simvastatin in Acute lung injury to Reduce Pulmonary dysfunction (HARP-2) trials. We tested the association between high IL-18 (>800 pg/mL) and LCA class assignment using McNemar’s test and evaluated the association of each subgrouping as well as treatment with 60-day mortality using Fisher’s exact test. We assessed 60-day mortality in each combination (high/low IL-18, hypo-/hyper-inflammatory LCA class, and treatment/placebo) using Kaplan-Meier survival analysis. We evaluated the correlation between the log2 transformed IL-18 level and LCA biomarkers using Pearson’s correlation coefficient.
Results: 33% of patients in SAILS and HARP-2 were discordant by IL-18 level and LCA class. Elevated IL-18 identified a high-risk group of individuals previously classified as hypo-inflammatory by LCA in both SAILS (OR 3.3, 95% CI 1.8-6.1, p<0.001) and HARP-2 (OR 2.1, 95% CI 1.2-3.8, p = 0.009). IL-18 was only moderately correlated with LCA biomarkers with r of 0.17-0.47.
Conclusions: High Plasma IL-18 level provides additional prognostic information to LCA sub-phenotypes in two large ARDS cohorts.
An intelligent decision support system for acute postoperative endophthalmitis: design, development and evaluation of a smartphone application
Authors: salehzadeh Azam , Shaeri Mahdi , Shoeibi Nasser , Hoseini Seyede Maryam , Jeddi Fatemeh Rangraze , Farrahi Razieh , Nabovati Ehsan 
Published: November 2022

Abstract
This study aimed to design, develop, and evaluate an intelligent decision support system for acute postoperative endophthalmitis. This study was conducted in 2020–2021 in three phases: analysis, design and development, and evaluation. The user needs and the features of the system were identified through interviews with end users. Data were analyzed using thematic analysis. The list of clinical signs of acute postoperative endophthalmitis was provided to ophthalmologists for prioritization. The k-nearest neighbors' algorithm was used in the design of the computing core of the system for disease diagnosis. The acute postoperative endophthalmitis diagnosis application was developed for using by physicians and patients. Based on the data of 60 acute postoperative endophthalmitis patients, 3693 acute postoperative endophthalmitis records and 12 non-acute postoperative endophthalmitis records were identified. The learning process of the algorithm was performed on 70% of the data and 30% of the data was used for evaluation. The most important features of the application for physicians were selecting clinical signs and symptoms, predicting diagnosis based on artificial intelligence, physician-patient communication, selecting the appropriate treatment, and easy access to scientific resources. The results of the usability evaluation showed that the application was good with a mean (± SD) score of 7.73 ± 0.53 out of 10. All-round participation and using the experiences of clinical specialists, and their awareness of patient needs, as well as the availability of comprehensive acute postoperative endophthalmitis clinical dataset led to the design of a decision support system with accuracy, precision and sensitivity above 90%.
Synthesis of magnetic luminescent nanoparticle Fe 3 O 4 @LaF 3 :Eu,Ag@APTES@β-CD, a potential carrier of ciprofloxacin and bioimaging agent
Authors: Swain Sangita , Phaomei Ganngam , Dash Sandip Kumar , Tripathy Sukanta Kumar 
Published: November 2022

Abstract
Fe3O4@LaF3:Eu,Ag hybrid magnetic luminescent nanoparticles (NPs) were synthesized using a simple co-precipitation method and then functionalized with β-cyclodextrin (β-CD) using (3-aminopropyl)triethoxysilane (APTES). The chemical composition, crystalline nature, particle size, and surface morphology of the Fe3O4@LaF3:Eu,Ag@APTES@β-CD NPs were investigated, using powder X-ray diffraction, and high-resolution transmission electron microscopy. The uptake and release profiling of the LaF3:Eu,Ag@Fe3O4@β-CD NPs for the hydrophilic drug ciprofloxacin, showed 40 and 85% efficiency, respectively. The results indicated that the NPs have a high drug loading yield and a sustained drug releasing profile of the NPs, indicating that they can be used as a drug carrier. The photoluminescence spectral analysis of the NPs revealed their potentiality for use in bioimaging. Further analysis of the drug-loaded NPs (Fe3O4@LaF3:Eu,Ag@APTES@β-CD-ciprofloxacin) revealed, 100% microbial inhibition efficiency against Escherichia coli and Vibrio cholerae, and a minimum of 80% against Bacillus cereus.
Learning to train and to explain a deep survival model with large scale ovarian cancer transcriptomic data
Authors: Menand Elena Spirina , De Vries-Brilland Manon , Tessier Leslie , Dauvé Jonathan , Campone Mario , Verrièle Véronique , J Nisrine , Marion Jean-Marie , Chauvet Pierre , Passot Christophe , Morel Alain 
Published: November 2022

Abstract
Ovarian cancer is a complex disease with poor outcome affecting women worldwide. The lack of successful therapeutic options for ovarian cancer patients results in the strong need to identify new biomarkers for patient selection. The development of outcome predictors based on gene expression is important not only for patient stratification but also to recognize categories of patients that are more likely to respond to particular therapies. In this paper, we proposed a new deep learning survival model trained on the high-dimensional transcriptomic data for the task of ovarian cancer prognostication. We validated our deep learning survival model on an independent clinical and molecular datatset. Finally, we illustrated the way our model can be interpreted, by calculating the contributions of the input features to the network outputs. We demonstrated how these contributions can be related to the molecular pathways to uncover biological processes associated with ovarian cancer patients survival.
Hypofractionated Radiotherapy with Helical Tomotherapy Improved the Efficacy of Multiple Brain Metastases----Long-term Follow-up Results of a Phase II Trial
Authors: Ma Yuchao , Liu Qingfeng , Zhang Hongmei , Tian Yuan , Xu Yingjie , Bi Nan , Chen Xuesong , Wang Wenqing , Wang Kai , Huang Xiaodong , Zhao Ruizhi , Yang Siran , Yi Junlin , Li Ye-xiong , Xiao Jianping , Zhang Ye 
Published: November 2022

Abstract
Background and purpose
Multiple brain metastases (BMs) remain a therapeutic challenge. Helical tomotherapy (HT) is a novel equipment which has shown favorable dosimetric properties in previous studies. The aim of this single institutional phase II trial was to investigate the feasibility and toxicity of hypofractionated radiotherapy (HFRT) with or without simultaneous whole brain radiotherapy (WBRT) by HT in treating patients with multiple BMs.
Materials and Methods
Patients with at least 3 BMs were enrolled. All the patients were treated with HT. The prescribed dose was 40 Gy in 20 fractions for WBRT and 60 Gy in 20 fractions for BMs simultaneously. For patients who had prior WBRT or refusing WBRT, focal HFRT for the lesions with optimized doses based on tumor volumes and locations were given. The primary endpoint was 1y-intracranial progression free survival (IPFS).
Results
Between September 2014 and June 2017, 69 patients were enrolled and finally been analyzed. The median follow-up time was 40.1 months. The 1-year IPFS rate was 80.5%. The median survival time was 18.1 months (95% CI, 15.5–20.7). The 1-year local control, overall survival and brain metastasis-specific survival rates were 96.4%, 71.0% and 94.6%, respectively. The 2-year rates were 87.6%, 51.1% and 39.1%, respectively. Only 1 patient (1.4%) had Grade 3 hematological toxicity and the radiation necrosis rate was 2.9%.
Conclusion
Helical tomotherapy was well tolerated and could significantly extend IPFS compared with historical controls in multiple BMs.
Active Thermography for Non‑invasive Inspection of Wall Painting: Novel Approach based on Thermal Recovery Maps
Authors: Rippa Massimo , Vigorito Maria Rosaria , Russo Maria Rosaria , Mormile Pasquale , Trojsi Giorgio 
Published: November 2022

Abstract

The development of novel non-invasive diagnostic methods to support artwork conservation is an important aspect for preserving human culture. For many years the restoration work has been assisted by various technologies with digital imaging systems playing an important role. An important request is the use of non-invasive diagnostic tools that allow the detection of defects and a comparison between their state before and after consolidation treatments. Among these, infrared thermography is a well-known non-invasive and contact-less imaging method that can enable low-cost in situ analysis. This work investigates the feasibility of an innovative active thermography approach based on the calculation of thermal recovery maps (TRMs) to detect detachments in wall painting. Its capabilities are tested on a work of art datable in the XVIII century by making measurements in situ before and after a consolidation work. The results achieved show how this analysis can significantly support the restoration works in the detection of critical/defective areas and for a pre-post restoration comparison of the artwork.
Malignant potential of breast cancer stem cells is associated with environment- dependent upregulation of the Oct3/4 network
Authors: Rajan Robin G. , Krutilina Raisa I. , Ignatova Tatyana N. , Pavicevich Zoran S. , Dulatova Galina M. , Lane Maria N. , Chatterjee Arindam R. , Rooney Robert J. , Antony Mymoon , Hagerty Vivian R. , Kukekov Nickolay V. , Hanafy Khalid A. , Vrionis Frank D. 
Published: November 2022

Abstract
Introduction: The pioneer transcriptional factors (PTFs) of the Oct3/4 network including Oct3/4, Nanog, Sox2, Sall4 (ONSS), have been associated with breast cancer. Regulation of ONSS and other factors in this network were assessed for their role in malignancy. Methods: Triple negative breast cancer cell line (MDA-MB-231) transfected with human Oct3/4-GFP promoter was sorted using FACS. Differentially expressed genes (DEGs) were identified using qPCR and microarray. 3D mammospheres (CSC) from Oct3/4(+) cells were assessed for stable Oct3/4 expression. Tumor seeding and lung metastatic potential of Oct3/4(+) cells were assessed in immunocompromised mice. DEGs in the tumors were assessed with respect to implanted tissue (SQ, lungs or brain), recurrence, and metastases. Expression of CD44+/CD24- was evaluated using flow cytometry. Resistance of Oct3/4(+) cells to paclitaxel was assessed using MTS assay. Results: Oct3/4-GFP expression was stable in mammospheres. Oct3/4(+) cells showed 25 DEGs and significant resistance to paclitaxel when compared to non-transfected cells. Upregulated growth and developmental genes included Gata6, FoxA2, Sall4, Zic2, H2afJ, Stc1 and Bmi1. The Oct3/4(+) cells also showed enhanced tumorigenic potential and aggressive growth in immunocompromised mice. Additionally, this modulated transcriptome of the Oct3/4 (+) cells showed further upregulation of several genes in metastatic lung lesions in mice (> 5 fold) compared to orthotopic tumors including Oct4A, Bmi1, Ezh2, Klf5, Hox7B, Gja1, Stc1, Amigo2 and Dkk1. Serially re-implanting tumors in mice as a model of recurrence and metastasis highlighted Sall4, c-Myc, Mmp1, Mmp9 and Dkk1 genes in maintaining an upregulated expression specifically in metastatic lesions and a 2-fold higher expression of stem cell phenotype markers (CD44+/CD24-). Overall Oct3/4 expression in tumors in lungs, brain and metastases were significantly higher than orthotopic mammary fat pad tumors. Additionally, the transcriptome was most upregulated in brain except for Gja1 and H2faJ, indicating tissue-specific regulation of this transcriptome. Conclusion: ONSS and other Oct3/4 related factors may drive the differentiation and maintenance of breast cancer stem cells and may promote their tumorigenic potential and resistance to drugs such as paclitaxel. However, there is tissue-specific heterogeneity in the differential upregulation of this transcriptome as well stemness phenotype of tumors in these tissues.
Smiling Dimples – Use of a Visual Treatment Objective for Assessment of Preference by Professionals and Laypersons
Authors: Husain Akhter , Bronkhorst Ewald , Bhat Hari Kishore , Upadya Varsha Haridas , Khan Faizan , Ongkosuwito Edwin , Kuijpers-Jagtman Anne Marie 
Published: November 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Evaluation the Slope Movement and Effectiveness the Remedial Measures of Volcanic Residual Soil in Yogyakarta, Indonesia
Authors: Muntohar Agus Setyo , Azhar Muhammad , Jotisankasa Apiniti , Chaiprakaikeow Susit , Chih-Chung Chung 
Published: November 2022

Abstract
Among influence factors of slope stability, rainfall is the most triggering factor. When rainwater flows through the slip surface, it will cause slope movement. This paper studies the slope movement in Kalibawang irrigation channel at km. 15+900, which induced failure of the irrigation channel and other surrounding structures. The slope movement was modelled as coupled stress-pore water pressure analysis using SIGMA/W. Satellite-based rainfall data of Tropical Rainfall Measuring Mission (TRMM) was collected from 1 July to 30 August 2017. The numerical model was validated with the field monitoring for deformation and pore water pressure to obtain a reliable soil parameter. Several attempts have been made to obtain an acceptable of E parameter by determining the smallest root mean square error (RMSE) value of deformation and larger coefficient of relation (R2). The numerical model has been extended to evaluate the slope stability after remedial work using piles. Six rainfall scenario were applied to model. The analysis concludes that the piling works increases the slope stability under several rainfall scenarios, which is indicated by increase in factor of safety.
Longitudinal neuropsychological trajectories in idiopathic normal pressure hydrocephalus: a population–based study
Authors: Lilja-Lund Otto , Maripuu Martin , Kockum Karin , Andersson Johanna , Lindam Anna , Nyberg Lars , Laurell Katarina 
Published: November 2022

Abstract
Background: Idiopathic normal pressure hydrocephalus (iNPH) is a progressive syndrome affecting gait, incontinence, and cognition in a significant number of older adults. Still, prospective studies on early development of symptoms are scarce.
Aim: To investigate how neuropsychological functions develop before and in already diagnosed iNPH over a two-year period in a population-based material.
Method: A sample of 104 participants (median [IQR] 75 [72–80] years old) from the general population underwent CT-imaging and clinical assessment at baseline and follow-up. We used the iNPH symptom scale covering four domains (Neuropsychology, Gait, Balance, Incontinence) and additional tests of executive functions. Morphological signs were rated with the iNPH Radscale. Non-parametric statistics with Bonferroni corrections and a significance-level of p <0.05 were used.
Results: Median (IQR) time to follow-up was 25 (23–26) months. Effect size (ES) for individuals who developed iNPH (n = 8) showed a large (ES r = -0.55) decline in the Gait domain and on the Radscale (ES r = -0.60), with a medium deterioration in declarative memory (ES r = -0.37). Those having iNPH at baseline (n = 12) performed worse on one executive sub-function i.e., shifting (p = 0.045).
Conclusion: Besides deterioration in gait and radiology, our results suggest that a neuropsychological trajectory for those developing iNPH includes a reduction in declarative memory. Executive dysfunction was limited to those already having iNPH at baseline. These findings could suggest that memory impairments are included in the early development of iNPH.