bluuebunny/crossref_metadata_2025_split huggingface dataset:
RapiD_AI: A framework for Rapidly Deployable AI for novel disease &amp; pandemic preparedness
Authors: Youssef Alexey , Zhu Tingting , Thakur Anshul , Watkinson Peter , Horby Peter , Eyre David , Clifton David 
Published: September 2022

Abstract
COVID-19 is unlikely to be the last pandemic that we face. According to an analysis of a global dataset of historical pandemics from 1600 to the present, the risk of a COVID-like pandemic has been estimated as 2.63% annually or a 38% lifetime probability. This rate may double over the coming decades. While we may be unable to prevent future pandemics, we can reduce their impact by investing in preparedness. In this study, we propose RapiD AI : a framework to guide the use of pretrained neural network models as a pandemic preparedness tool to enable healthcare system resilience and effective use of ML during future pandemics. The RapiD AI framework allows us to build highperforming ML models using data collected in the first weeks of the pandemic and provides an approach to adapt the models to the local populations and healthcare needs. The motivation is to enable healthcare systems to overcome data limitations that prevent the development of effective ML in the context of novel diseases. We digitally recreated the first 20 weeks of the COVID-19 pandemic and experimentally demonstrated the RapiD AI framework using domain adaptation and inductive transfer. We (i) pretrain two neural network models (Deep Neural Network and TabNet) on a large Electronic Health Records dataset representative of a general in-patient population in Oxford, UK, (ii) fine-tune using data from the first weeks of the pandemic, and (iii) simulate local deployment by testing the performance of the models on a held-out test dataset of COVID-19 patients. Our approach has demonstrated an average relative/absolute gain of 4.92/4.21% AUC compared to an XGBoost benchmark model trained on COVID-19 data only. Moreover, we show our ability to identify the most useful historical pretraining samples through clustering and to expand the task of deployed models through inductive transfer to meet the emerging needs of a healthcare system without access to large historical pretraining datasets.
Graphic Protocol for Assessing Safe Nursing Care in Hemodialysis: a Validation Study
Authors: Paiva Renilly de Melo , Chiavone Flavia Barreto Tavares , Bezerril Manaces dos Santos , Dantas Marianny Nayara Paiva , de Azevedo Isabelle Campos , Oliveira Adriana Catarina de Souza , Júnior Marcos Antonio Ferreira , Santos Viviane Euzébia Pereira 
Published: September 2022

Abstract

Background
The use of protocols allows systematizing, organizing and assessing services based on scientific evidence, thus helping the health work process. To validate the content and appearance of a graphic protocol for assessing safe nursing care for patients under hemodialysis.
Method
This is a methodological study with a quantitative approach developed between 2019 and 2020, organized into three procedures: theoretical, from a scoping review, regarding safe hemodialysis care; empirical studies in which the graphic protocol and checklist construction process took place. Finally, for validation using the Delphi technique, nine judges participated in two rounds to reach agreement among them. Data were tabulated and analyzed using simple descriptive statistics, Content Validity Coefficient (CVC) and level of agreement.
Results
Based on this scoping review content, a checklist and a graphic protocol were created, grouped into structure, process and result items. Regarding the content validity verification in Delphi I, the clarity, accuracy and modality criteria obtained CVC = 0.77 in the checklist. After adjustments and Delphi II, all indices were above 0.80. In the appearance validation process, in Delphi I, it was possible to achieve a total CVC greater than 0.80, in Delphi II, they were greater than 0.88, and the checklist presented a CVC of 0.91.
Conclusion
A graphic protocol and a checklist for assessing safe care for patients under hemodialysis, valid in their content and appearance, are presented.
Changes in biological soil health properties in response to increased crop diversity in a dryland wheat-based cropping system
Authors: Eberly Jed O. , Hammontree Jenni W. , Fordyce Simon I , Jones Clain A. , Carr Patrick M. 
Published: September 2022

Abstract

Diversifying wheat (Triticum aestivum L.)-based cropping systems can be an effective management tool to break weed and disease cycles. While extensive research has focused on the agronomic benefits of increased crop diversity in semi-arid environments, less is known about the impacts of increased crop diversity on microbial community structure and processes such as nitrogen (N) cycling. This work compared a continuous wheat crop sequence to a diverse sequence that included pea (Pisum sativum L.), proso millet (Panicum miliaceum L.), safflower (Carthamus tinctorius, L.), and spring wheat. Soil inorganic N (NO3-N and NH4-N), soil respiration, microbial biomass, enzyme activity, and microbial community alpha diversity, a measure of the number of taxa within a treatment, were determined. Soil respiration was higher (p < 0.005) in the diverse sequence while activity of N-acyl-β-D-glucosaminidase, an enzymatic indicator of C and N mineralization, was lower (p < 0.05) with a mean rate of 26.3 mg ρ-nitrophenol kg− 1 soil h− 1 and 16.3 mg ρ-nitrophenol kg− 1 soil h− 1 for the continuous wheat and diverse sequences, respectively. Soil respiration was weakly correlated to soil water content (R2 = 0.21) and temperature (R2 = 0.29) in the diverse rotation, while only weakly correlated to soil water content (R2 = 0.05) in the continuous wheat system (p < 0.001). The mean net N mineralized under a wheat crop during the growing season was 33.2 ± 2.5 kg ha− 1 and was not different between treatments (p > 0.05). Microbial community analysis showed no difference in bacterial alpha diversity, while fungal community diversity was 52% lower in the diverse rotation. The results of this work suggest that specific crops in a rotation may impact microbial processes related to N mineralization and that the soil fungal community may be more sensitive to changes in crop sequence than the soil bacterial community.
Granulocyte Colony-Stimulating Factor in Adults with Solid Tumors - Need for Implementing Guidelines
Authors: Mekdad Sanaa Saeed , AlSayed Leenah 
Published: September 2022

Abstract
Background: Chemotherapy-induced febrile neutropenia (CIFN) is a major dose-limiting toxicity of chemotherapy. It is associated with an overall hospitalization rate of 35% and an average mortality of 9.5% (2.6% -21.4%).
Granulocyte colony-stimulating factors (GCSFs) are often prescribed as primary or secondary prophylaxis and to manage chemotherapy induced febrile neutropenia (CIFN). The American Society of Clinical Oncology (ASCO) guidelines exists to optimize the use of GCSFs.
The main aim was to quantify the inappropriate use of the GCSFs in Primary, secondary prophylaxis and in acute (CIFN) management using the ASCO guidelines as a reference.
Methods: This is a retrospective cohort study included 204 adult randomly chosen patients with solid tumors on chemotherapy.
Results: A total of 204 patients were included . Overall, GCSFs were prescribed appropriately in 104 (51%) patients and in 100 (49 %) was considered inappropriate.
The median duration of GCFs was 5 days in most of the patients.
Conclusions: The inappropriate use of GCSFs is common in terms of indications and duration in adult patients with solid tumor receiving chemotherapy. Adherence to guideline will optimize use.
An audit of aggressive percutaneous catheter drainage protocol for acute necrotic accumulation in severe acute pancreatitis
Authors: DANG Junqiang , WANG Qingqiang , YANG Yanling , ZHU Tingshun , SHANG Lin , YUAN Zhilin , SUN Jianbing , DONG Jianxin , ZHU Lei , XIANG Hongjun 
Published: September 2022

Abstract
Aim: To compare the efficacy of proactive percutaneous catheter drainage (PCD) in the treatment of severe acute pancreatitis (SAP) with acute necrotic accumulation (ANC).
Methods: The clinical data of 23 SAP patients with ANC receiving proactive PCD treatment in the single health institution from October 2020 to October 2021 were retrospectively analyzed, compared with 47 patients who receiving standard PCD therapy from September 2018 to September 2020. The indications of PCD were summarized, and the therapeutic effect and drainage situation were compared between the two cohorts.
Results: Betweent the two cohorts, there were no significant differences in demographic data, etiology and severity of pancreatitis, PCD indications and PCD related complications. Patients in the standard PCD cohort had longer hospital stays, more patients requiring ICU care and longer ICU care (P < 0.05). There was no significant difference in the number of persistent organ failure reversals between the two cohorts (78.57% vs 56.00%, P = 0.19), mortality and operative rates. More patients in the proactive PCD cohort had upgraded drains (P = 0.03), had more drains placed (P = 0.048), and had larger drain sizes (P < 0.01). The proactive PCD cohort had higher reduction in APACHEII score (P<0.01), more patency of the drainage tube (P <0.01), and earlier removal of the drainage tube (P = 0.012).
Conlusions: Proactive PCD is an effective way of draining for SAP with ANC.
New Informed Non-Blind Medical Image Watermarking Based on Local Binary Pattern
Authors: Laouamer Lamri 
Published: September 2022

Abstract
Medical image watermarking represents a promising alternative tool regarding security, digital rights, authenticity and integrity issues. In this paper, an informed medical image watermarking scheme is proposed based on local binary pattern LBP. A watermark is built based on the significant information extracted from the host image by LBP and will be addressed to be embedded through a linear interpolation. Scenarios of geometric and non-geometric attacks have been realized on the watermarked images to evaluate the robustness of the embedded watermark in the extraction process. Furthermore, it is verified through achieved experiments that the proposed scheme is imperceptible and more robust from the achieved results which are very encouraging.
Factors Influencing Technology Adoption of a Peripheral Tracing Device in Complete Denture Impressions
Authors: Gali Sivaranjani , Melepurra Keerthy , Sriniva Srivatsa 
Published: September 2022

Abstract
Objectives: Rapid advancements in dental technologies have played a significant role in creating an efficient dental practice. The study aimed to explore the factors influencing the technology adoption of a device for complete denture impressions among dental health professionals.
Materials and methods: Based on the variables expressed during the focus group discussion and literature review, a survey was conducted using a constructed questionnaire among 200 general dental practitioners, prosthodontists and academicians in prominent dental schools in Bengaluru, India. The questionnaire consisted predominantly of structured, closed-end questions based on the UTAUT2 Model using five-point Likert scale. Discriminant analysis was conducted to understand the characteristics of variables for discrimination of adopters and non-adopters of the device.
Results: Participants showed a keen interest in adopting technology due to its convenience. 80.5 % of dentists were tempted to purchase if trial of the product was made available. Discriminant Analysis predicted the group membership with a good level of classification accuracy of adopters of 84 %. The variables that discriminated adopters and non-adopters were “easy to become skillful”, “plan to use the device more frequently”, “peer influence” “willingness to purchase the device”, “find it enjoyable” and “it is entertaining”.
Conclusions: Effort Expectancy, Behavior, Social Influence and Hedonic Motivation played a role in influencing technology adoption among dental professionals. A dental professional is more likely to adopt the technology, if it can help improve his or her skills.
Artificial intelligence model in Body Scan images for monitoring tuberculosis in a prison complex
Authors: Deon Reges Antonio , Korb Arnildo , Santos Paula 
Published: September 2022

Abstract
Early diagnosis and monitoring of tuberculosis (TB) is of great value for disease control. In addition to clinical interpretation and laboratory tests, and also imaging tests such as x-ray. However, for this study we used the MARIE platform, as a support in prison complexes for monitoring and tracking TB, since the platform integrates more than 300 algorithms to identify different patterns in the images based on its dataset that contains around 1 million images. and thus providing better validation values for different image patterns. In this proof of concept we used Body Scan images to identify only suspected cases of TB. Of the three groups of images evaluated, we obtained high performance results when we simultaneously submitted images of the front and back of the lung. Sensitivity varies between 60%-100%. Marie represents an easy-to-use, end-to-end solution for identifying suspected TB in prison facilities.
Risk factor analysis and risk prediction model of arrhythmia after Da Vinci robotic cardiac surgery
Authors: Wu Wenjun , Ding Renzhong , Chen Jianming , Yuan Ye , Song Yi , Yan Manrong , Hu Yijie 
Published: September 2022

Abstract
Background
To analyze the safety and efficacy of Da Vinci robotic cardiac surgery, to investigate the risk factors of postoperative arrhythmia and to establish a risk prediction model.
Methods
The data of 147 patients who underwent cardiac surgery under Da Vinci robotic cardiopulmonary bypass (CPB) from July 2016 to June 2022 in Daping Hospital of Army Medical University were retrospectively analyzed, and their demographic data and related clinical data were statistically analyzed. The mean age was (43.03 ± 13.11) years, 55 (37.41%) were male and 92 (62.59%) were female. According to whether arrhythmia occurred after operation, the patients were divided into two groups: 23 patients with arrhythmia and 123 patients without arrhythmia. Univariate analysis was performed for perioperative risk factors in the two groups, and then multivariate logistic analysis was performed for selected variables with more significance to establish a regression model and evaluate the prediction model using receiver operating characteristic curve (ROC curve).
Results
Arrhythmia occurred in 23 of 147 patients (15.75%) after Da Vinci robotic cardiac surgery, and 1 patient (0.68%) died in the hospital.Univariate analysis of arrhythmia after Da Vinci robotic cardiac surgery suggested that age, body weight, body mass index (BMI), diabetes, New York Heart Association (NYHA) class, left atrial anteroposterior diameter (LAD), left ventricular anteroposterior diameter (LVDs), right ventricular anteroposterior diameter (RVDs), total bilirubin (TBIL), direct bilirubin (DBIL), uric acid (UA), red blood cell width (RDW), operation time, CPB time, aortic cross-clamp time, and operation type were statistically analyzed and associated with postoperative arrhythmia (P < 0.05).Multivariate binary logistic regression analysis suggested that DBIL (OR = 1.334,95%CI1.003–1.774,P = 0.048) and aortic cross-clamp time (OR = 1.018,95%CI1.005–1.031,P = 0.008) were independent risk factors for arrhythmia after Da Vinci robotic cardiac surgery.In arrhythmia group, postoperative tracheal intubation time (P < 0.001), intensive care unit stay (P < 0.001) and postoperative hospital stay (P < 0.001) were significantly prolonged, and postoperative high-dose blood transfusion events were significantly increased (P = 0.002).The area under the curve (AUC) of ROC was 0.849 (95%CI0.769–0.930, P < 0.001), the cutoff point was 0.574, the model sensitivity was 82.6%, and the specificity was 74.8%.
Conclusion
Preoperative DBIL level and aortic cross-clamp time were independent risk factors of arrhythmia after Da Vinci robotic cardiac surgery; postoperative tracheal intubation time, intensive care unit stay and postoperative hospital stay were significantly prolonged in patients with postoperative arrhythmia, and postoperative high-dose blood transfusion events were significantly increased; risk prediction model had certain predictive value for postoperative arrhythmia.
The Swiss chiropractic practice-based research network: a population-based cross-sectional study of chiropractic clinicians and primary care clinics to inform future musculoskeletal health care research
Authors: Lalji Rahim , Hofstetter Léonie , Kongsted Alice , von Wyl Viktor , Puhan Milo A , Hincapié Cesar A 
Published: September 2022

Abstract
The Swiss chiropractic practice-based research network (PBRN) is a nationwide project developed in collaboration with patients, clinicians, and academic stakeholders to advance epidemiological research relating to chiropractic care and musculoskeletal pain. The aim of this study was to describe the clinician population recruited and representativeness of this PBRN to inform future collaboration.
A population-based cross-sectional study of clinician members of the Swiss Chiropractic Association who consented and completed a PBRN entry questionnaire was performed. Clinician characteristics were described and factors related to motivation to participate in a subsequent patient cohort pilot study (operationalised as VAS score ≥ 70) were assessed using multivariable logistic regression analysis. Among 326 eligible chiropractors, 152 enrolled in the PBRN (47% participation; mean age 47 years; 53% men). The PBRN was representative of the larger Swiss chiropractic clinician population with regards to age, language, and geographic distribution of chiropractors and clinics. Of those enrolled, 39% endorsed being motivated to participate in a nested patient cohort pilot study. Motivation was associated with age 40 years or older versus 39 years or younger (odds ratio [OR] 2.3, 95% confidence interval [CI] 1.0 to 5.5), and with a moderate clinic size of 2 or 3 chiropractors (OR 2.5, 95%CI 1.1 to 5.9) or large clinic size of 4 or more chiropractors (OR 2.8, 95%CI 1.0 to 7.0) versus solo practice.
The Swiss chiropractic PBRN has enrolled almost half of all Swiss chiropractors in over 100 clinical practices and has potential to facilitate collaborative practice-based research to improve chiropractic health care quality.
Trial registration
Swiss chiropractic PBRN (ClinicalTrials.gov identifier: NCT05046249);
Swiss chiropractic cohort (Swiss ChiCo) pilot study (ClinicalTrials.gov identifier: NCT05116020).
Bonferroni mean operators of trapezoidal multi fuzzy numbers and their application to decision making problems
Authors: Deli Irfan , Kesen Davut 
Published: September 2022

Abstract
Trapezoidal fuzzy multi numbers(TFM-numbers) are commonly used while taking decision among many potential values for the choices over alternatives in the decision-making process. In this context, we propose two methods to investigate solution of the multiple attribute decision making problems given with trapezoidal fuzzy multi numbers(TFM-numbers). For this reason, two aggregation techniques called TFMBonferroni arithmetic mean operator and TFM-Bonferroni geometric mean operator have been developed to aggregate the trapezoidal fuzzy multi information. Then, we analyze their properties and discuss their special cases. Also, we introduce two approaches for multiple attribute decision making in the context of the trapezoidal fuzzy multi environments. Also, we apply the introduced approaches based on the TFM Bonferroni aggregation operators under trapezoidal multi fuzzy environments to solve the multi-attribute decision making and we give two useful example to show practicality of our the approaches. In the end, we present an analysis table to compare the proposed approaches with existing methods.
Patient-reported distress at a cancer center during the COVID-19 pandemic
Authors: Shah Manan P. , Rosenthal Sarah W. , Roy Mohana , Khaki Ali Raza , Hernandez-Boussard Tina , Ramchandran Kavitha 
Published: September 2022

Abstract
Background: Assessments of health-related quality of life (HRQOL) are conducted by health systems to improve patient-centered care. Studies have shown that the COVID-19 pandemic poses unique stressors for patients with cancer. This study investigates change in self-eported global health scores in patients with cancer before and during the COVID-19 pandemic.
Methods and Materials: In this single-institution retrospective cohort study, patients who completed the Patient-Reported Outcomes Measurement Information System (PROMIS) at a comprehensive cancer center before and during the COVID-19 pandemic were identified. Surveys were analyzed to assess change in the global mental health (GMH) and global physical health (GPH) scores at different time periods (pre-COVID: 3/1/5/2019-3/15/2020, surge1: 6/17/2020-9/7/2020, valley1: 9/8/2020-11/16/2020, surge2: 11/17/2020-3/2/2021, and valley2: 3/3/2021-6/15/2021).
Results: A total of 25,192 surveys among 7,209 patients were included in the study. Mean GMH score for patients before the COVID-19 pandemic (50.57) was similar to those during various periods during the pandemic: surge1 (48.82), valley1 (48.93), surge2 (48.68), valley2 (49.19). Mean GPH score was significantly higher pre-COVID (42.46) than during surge1 (36.88), valley1 (36.90), surge2 (37.33) and valley2 (37.14). During the pandemic, mean GMH (49.00) and GPH (37.37) scores obtained through in-person were similar to mean GMH (48.53) and GPH (36.94) scores obtained through telehealth.
Conclusion: At this comprehensive cancer center, patients with cancer reported stable mental health and deteriorating physical health during the COVID-19 pandemic as indicated by the PROMIS survey. Modality of the survey (in-person versus telehealth) did not affect scores.
Cold-induced (&gt;0 oC) Salt-Free Aqueous Two-Phase System (ATPS): For Heavy Metal Ions Removal
Authors: Lin Jinliang , Sun Xiaoxiang , Tao Xiong , Wang Xingjun , Dai Ying , Li Youfeng 
Published: September 2022

Abstract
An aqueous two-phase system (ATPS) induced by low temperature has been achieved and is capable to the application of heavy metal ions removal. Such system consists the water solution of acetonitrile and triethanolamine (H2O + MeCN + TEOA) that are low-cost materials, which suggested its compatibility for biological issues and satisfactory to large scare industrial applications. The critical temperature has been determined upon the variation of composition proportion. It should be note here that this ATPS could be formed above 0 oC, which is higher than that reported in previous works on MeCN-H2O systems (-16 oC). It proved that the introduction of TEOA can greatly elevated the critical temperature for phase separation. Moreover, such ATPS has been certified restorative when it presented at 7.3 oC, and the process is proved reversible. Interestingly, such ATPS can easily obtain via vacuum process attributed to temperature descend. In this study, the estimation on the removal efficiency of various heavy metal ions has been conducted, which proves them are the excellent candidates addressing the environmental issues.