bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lung Adenocarcinoma Isolated Metastasizing to Pancreas a Case Report and Review
Authors: Tan Ludong , Fu Yu , Wang Shupeg , Peiqiang Jiang , Liu Yahui 
Published: October 2021

Abstract
BACKGROUND: Lung cancers are prone to metastasis. It is commonly associated with metastases in the brain, bone, and liver.However, isolated pancreatic metastasis are extremely rare in lung adenocarcinoma patients。CASE SUMMARY: A Chinese man underwent pulmonary lobectomy for adenocarcinrcinoma 6 years ago. He was referred to our department because that postoperative reexamination(Abdomen CT) revealed space occupying lesions in the pancreatic neck,and no abnormality was found in any other organ. Therefore, it was considered to pancreatic carcinoma. Pancreatectomy of the pancreatic body and tail, as well as splenectomy, were performed,and he was given four courses of Pemetrexed and Carboplatin chemotherapy after one month of operation. Then the gefitinib was given.A year after surgery, the patient survived without tumor.CONCLUSION: Secondary pancreatic tumors are rare in clinical practice.It is the longer tumor-free survival in patients with isolated pancreatic metastasis of lung adenocarcinoma.However,the value of surgical treatment for isolated metastasis of lung adenocarcinoma needs further discussion.
Real Workload-Situated Training in COVID-19 Prevention of General Practice Residents in China: A Situated Cognition Study
Authors: Rao Xin , Luo Li , Su Qiaoli , Wang Xingyue 
Published: October 2021

Abstract
Objective:The participation of general practice (GP) residents in COVID-19 prevention and control tasks touched workload participation in public health and disease prevention and control and was also a rare, valuable training experience for the residents and research material for medical education . This experience contributed to the understanding of three key points: First, was the content of the COVID-19 prevention task suited to them, or did it overload them in the present? Second, their competence in the COVID-19 prevention task reflected whether the early medical school training was sufficient or not .Third, what can be drawn from this study to promote public health training in the future? This study aimed to explore these issues by conducting a real epidemic situated training (REST) program.Methods: A situated cognition study was designed that included situational context design, legitimate peripheral participation, and the construction of a community of practice. The Task Cognitive Load Scale (NASA-TLX Scale) and self-developed questionnaires were adopted to conduct a questionnaire survey of resident doctors in a GP training program from West China Hospital of Sichuan University, and 183 questionnaires were collected. SPSS 23.0 statistical software was used for the statistical analysis of data.Results: The NASA scale showed that the intensity of field epidemic prevention and control (training) was tolerable. In particular, there was no statistical difference in the cognitive load intensity of training before and after the epidemic occurred at different time points (P<0.05). This shows that they were early trained and well prepared before sudden outbreak of the COVID-19.Before the outbreak of the epidemic, the public health knowledge and training received came from undergraduate education (83.16%), early residents program training (69.47%), online self-study (49.16%), and continuing education (20.53%). Conclusion:Former medical school education and training at the regulatory training stage have a good effect and enable residents to master the skills required for epidemic prevention and control and to physically and mentally prepare for the task. After this stage, epidemic prevention and control training in real situations will make important contributions to the self-assessment and performance improvement of public health training,and make participants more competent to face the epidemic task.
Integrated Analysis of Behavioral and Health Data: A Comparative Study of COVID19 Data in Israel and Italy
Authors: Kenett Ron , Manzi Giancarlo , Rapaport Carmit , Salini Silvia 
Published: October 2021

Abstract
The response to the COVID19 pandemic has been highly variable, both in terms of between-nations variation and within the same nation, at different waves. In this context, governments applied different mitigation policy responses with varying impact on social and economic measures over time. This article examines the effect of mobility restriction measures in Italy and Israel and compares the association between health and population mobility data. Facing the pandemic, Israel and Italy implemented different policy measures and experienced different public activity patterns. The analysis we conducted is a staged approach using Bayesian Networks and Structural Equations Models to investigate these patterns. The goal is to assess the impact of pandemic management and mitigation policies on pandemic spread and population activity. We propose a methodology that first models data from health registries and Google mobility data and then shows how decision makers can conduct scenario analysis to help support pandemic management policies.
Impact of Renin-Angiotensin-Aldosterone System Inhibition on Mortality in Critically Ill COVID-19 Patients with Pre-Existing Hypertension: A Prospective Cohort Study
Authors: Sato Kei , White Nicole , Fanning Jonathon P. , Obonyo Nchafatso , Yamashita Michael H. , Appadurai Vinesh , Ciullo Anna , May Meryta , Worku Elliott T. , Helms Leticia , Ohshimo Shinichiro , Juzar Dafsah A. , Suen Jacky Y. , Bassi Gianluigi Li , Fraser John F. , Arora Rakesh C. ,   COVID-19 Critical Care Consortium
Published: October 2021

Abstract

BackgroundThe influence of renin-angiotensin-aldosterone system (RAAS) inhibitors on the critically ill COVID-19 patients with pre-existing hypertension remains uncertain. This study examined the impact of previous use of angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB) on the critically ill COVID-19 patients.MethodsData from an international, prospective, observational cohort study involving 354 hospitals spanning 54 countries were included. A cohort of 746 COVID-19 patients with pre-existing hypertension admitted to intensive care units (ICUs) in 2020 were targeted. Multi-state survival analysis was performed to evaluate in-hospital mortality and hospital length of stay up to 90 days following ICU admission.ResultsA total of 746 patients were included - 543 (73%) with pre-existing hypertension had received ACEi/ARBs before ICU admission, while 203 (27%) had not. Cox proportional hazards model showed that previous ACEi/ARB use was associated with a decreased hazard of in-hospital death (HR, 0.73, 95% CI, 0.58 to 0.93). Sensitivity analysis adjusted for propensity scores showed similar results for hazards of death. The average length of hospital stay was longer in ACEi/ARB group with 21.4 days (95% CI: 19.9 to 23.0 days) in ICU and 6.7 days (5.9 to 7.6 days) in general ward compared to non-ACEi/ARB group with 16.2 days (14.1 to 18.5 days) and 6.3 days (5.0 to 7.7 days), respectively. When analysed separately, there was insufficient evidence of differential effects between ACEi and ARB use on the hazards of death and discharge.ConclusionsIn critically ill COVID-19 patients with comorbid hypertension, use of ACEi/ARBs prior to ICU admission was associated with a reduced risk of in-hospital mortality following adjustment for baseline characteristics although patients with ACEi/ARB showed longer length of hospital stay.
Optimization of DMG-CNTFET Photo Detector for Different Illumination Conditions by Nano Scale Size and Doping Through Self-consistent Poisson- Schrodinger Equations
Authors: May Arul , Rajamani Rajamani , Kavitha Kavitha 
Published: October 2021

Abstract
In this paper, we propose a nano scale Dual Material Gate Carbon Nanotube field-effect transistor (DMG-CNTFET) photo detector based on self-consistent 2D Poisson and Schrodinger equation. The main advantage of the proposed device is the improved performance due to dual material gate consisting of two laterally contacting Molybdenum and Titanium metals (M1,M2) with two different work functions (𝜙𝑔𝑀1, 𝜙𝑔𝑀2). The 2D-Poisson equation is solved through finite difference method in open boundary for dark and illuminated condition. The Schrodinger equation is solved through non-equilibrium green function. The proposed DMG-CNTFET photo detector overcomes the problem of maximum thickness in gate oxide and gate size by nano-scaled sizing and highly doped source and drain. The gain and cut off frequency of the device are increased due to the reduced work function and the drain conductance. The characteristics of the proposed transistor are validated through various parameters such as drain current, transfer, sub threshold swing, trans-conductance, gain and cutoff frequency. From the simulation results, the proposed DMG-CNTFET photo detector provides better performance of trans conductance, gain and cutoff frequency. These device characteristics are the key parameters in the design and fabrication of various electronic circuitry and design and hence the relative performance improvement is achievable.
Conduction System Disease and Atrioventricular Block in Victims of COVID-19 in Iran
Authors: Nikoo Mohammad Hossein , Sadeghi Alireza , Ebrahimi Niloofar Dehdari , Estedlal Alireza , Maktabi Amirhossein , Kamgar Mahtab , Mehran Fatemeh , Mehdibeygi Omid , Esfandiari Haleh , Tayebi Mohammadamir Taherinezhad , Heydari Seyed Taghi 
Published: October 2021

Abstract
Background
More recently, a growing body of literature on COVID-19 has investigated the electrophysiological issues presetting as a disease manifestation of COVID-19 and highlight the spectrum of arrhythmias observed in patients with COVID-19 infection. This Study discuss the prevalence of arrhythmias and conduction system disease in patients with COVID-19.
Method
electrocardiographic data and comorbidity data of 432 expired COVID-19 patients admitted to Faghihi Hospital of Shiraz University of Medical Sciences from August 1st until December 1st were reviewed.
Results
AVB was found in 40(9.3%) patients. 28(6.5%) of the patients suffered from 1st degree AVB, and 12(2.8%) suffered from CHB. Changes in ST-T wave compatible with myocardial infarction or localized myocarditis appeared in 189(59.0%) patients. Findings compatible with myocardial injury such as fragmented QRS, and prolonged QTc were assessed with prevalence of 21.1% (91 patients), 6.5% (28 patients). In victims of COVID-19, conduction disease was not related to any underlying medical condition. Fragmented QRS, axis deviation, presence of S1Q3T3 and poor R wave progression were significantly related to conduction system disease in victims of COVID-19 (P value > 0.05, Table 3)
Conclusion
Our findings can serve in future studies that aim to develop a risk stratification method for susceptible COVID-19 patients. Myocardial injury appears to role significantly in COVID-19 morbidity and mortality. Consequently, we recommend health policymakers to consider separate catheterization laboratories that provide service only to COVID-19 patients.
Matching Document Pairs using Multi-Feature Semantic Fusion Based on Knowledge Graph
Authors: Chen Yibo , Zhang Zuping , Huang Xin , Xiang Xing , He Zhiqiang , Chen Yunsheng , Hu Qihui 
Published: October 2021

Abstract
Discriminating the homology and heterogeneity of two documents in information retrieval is very important and difficult step. Existing methods mainly focus on word-based document duplicate checking or sentence pairs matching except manual verification which need a lot of human resource cost. The word-based document duplicate checking can not judge the similarity of two documents from the semantic level and the matching sentence pair methods can not effectively mine the semantic information from a long text which is frequent retrieval results.
A concept-based Multi-Feature Semantic Fusion Model (MFSFM) is proposed. It employs multi-feature enhanced semantics to construct a concept map for represent the document, and employs a multi-convolution mixed residual CNN module to introduce local attention mechanism for improve the sensitivity of conceptual boundary information. To improve the feasibility of the proposed MFSFM based on concept maps, two multi-feature document data sets are set up. Each of them consists of about 500 actual scientific and technological project feasibility reports. Experimental results based on the actual datasets show that the proposed MFSFM converges quickly while expanding the latest methods of natural language matching at the accuracy rate.
Evaluation of Existing And Future Zero Waste Approach in Municipal Solid Waste Management Utilizing the Zero Waste Index: Bali Province, Indonesia
Authors: Widyarsana I Made Wahyu , Furqan Radhitiya Al , Budhicahyanto Moehammad , Saraswati Dianisti , Nurfajri Nabila 
Published: October 2021

Abstract
The World Bank reported that around 1.3 billion tonnes of municipal waste were generated in 2011, and this amount is expected to increase to 2.2 billion tonnes by 2025. Zero Waste Index (ZWI) is a breakthrough for measuring and evaluating waste management's performance based on the concept of zero waste, where recycling is the key to determining this value. This study was conducted in a province in a developing country, namely Bali Province, Indonesia. The calculation of ZWI and energy substitution from waste management is carried out on two schemes, an optimistic scheme (basic data and percentage of waste management targets referring to the regional policy and strategy documents) and a pessimistic scheme (basic data refers to material flow analysis of waste with no increase in the percentage of waste management) from 2020 to 2025. Energy substitution is calculated on two conditions of use, namely through incinerator technology (listed in Indonesia Presidential Regulation No. 35 of 2018) and without incinerators at the Sarbagita Regional Landfill. Analysis indicated that the pessimistic scheme provides a higher ZWI value of Bali Province in 2020 than the optimistic scheme, but there is no increase in the ZWI value until 2025 (the ZWI value ranges from 0.02 to 0.2) due to no increase in the percentage of solid waste management. Meanwhile, the optimistic scheme provides a lower ZWI value for Bali's Province in 2020 than the pessimistic scheme, but there is an increase in the ZWI value every year until 2025 (the ZWI value ranges from 0.004 to 0.22). In terms of energy substitution, an optimistic scheme provides energy substitution values ​​2-5 times greater than pessimistic schemes, with and without incinerators. However, in terms of the incinerator efficiency, the pessimistic scheme provides greater efficiency (2-6% efficiency when using an incinerator) than the optimistic scheme (1-2% efficiency when using an incinerator). The 3R (Reuse, Reduce, Recycle)-based waste management and high energy substitution potential in Bali Province can be an effective waste management solution if the stakeholders are committed to achieve the Jakstrada targets by 2025.
The Effect of The BOPPPS Model With PAL And Medical Humanities Methods On Chinese Medical Students In Cardiopulmonary Resuscitation Courses
Authors: Li Chen , Shou Song-tao , Chai Yan-fen 
Published: October 2021

Abstract
Background: The purpose of this study was to investigate the effect of the BOPPPS model (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) with PAL (Peer-assisted learning) and medical humanities methods on Chinese Medical Students in Cardiopulmonary Resuscitation Courses. Methods: Participants were the long-term medical students of Tianjin Medical University who accepted emergency medicine courses from 2015 to 2020. Forward-looking descriptive research and phased CPR curriculum teaching innovation, including the BOPPS with PAL (First Stage), the BOPPS with PAL and medical humanities methods (Second Stage), compared with the traditional teaching model (Basic Stage). Results: The usual and final results improved in First stage compared with Basic stage (↑30.2%, ↑7.5%), the proportion of those with more than 80 points increased in the usual exam, and the proportion of those with 70 points or more increased in the final exam. The usual and final results improved in Second stage compared with First stage (↑12.0%, ↑2.2%), the proportion of those with more than 90 points increased in the usual exam, and the proportion of those with 80 points or more increased in the final exam. Conclusions: The teaching innovation of the CPR curriculum, the application of BOPPPS teaching model, and the peer-assisted learning and medical humanities teaching methods can improve teaching quality of CPR courses in medical colleges.
Adaptive and pathological connectivity responses in Parkinson’s disease brain networks
Authors: Vo An , Schindlbeck Katharina , Nguyen Nha , Rommal Andrea , Spetsieris Phoebe , Tang Chris , Choi Yoon Young , Niethammer Martin , Dhawan Vijay , Eidelberg David 
Published: October 2021

Abstract
Functional imaging has been used extensively to identify and validate disease-specific networks as biomarkers in neurodegenerative disorders. It is not known, however, if connectivity patterns in these networks differ with disease progression compared to the beneficial adaptations that may also occur over time. To distinguish the two responses, we focused on assortativity, the tendency for network connections to link nodes with similar properties. High assortativity is associated with unstable, inefficient flow through the network. Low assortativity, by contrast, involves more diverse connections that are also more robust and efficient. We found that in Parkinson’s disease (PD), network assortativity increased with over time. Assoratitivty was high in clinically aggressive genetic variants, but low for genes associated with slow progression. Dopaminergic treatment increased assortativity despite improving motor symptoms, but subthalamic gene therapy, which remodels PD networks, reduced this measure compared to sham surgery. Assortativity may therefore be useful in evaluating disease-modifying therapies.
Unique Digoldgermanes: Structural Characteristics, Dynamic Behaviour and Distinctive Reactions
Authors: Wang Liliang , Zhen Guorong , Li Yinhuan , Kira Mitsuo , Yan Liping , Chang Xiao-Yong , Huang Lu , Li Zhifang 
Published: October 2021

Abstract
Digoldgermanes with a gold coordinated by a dialkylgermylene ligand, R’2Ge(AuPR3)(AuGeR’2) (3a; R = Me, 3b; R = Et), were synthesized as green solids through the reactions of stable dialkylgermylene 1 with R3PAuCl followed by the reduction with KC8 at ambient temperatures. The structural characteristics of 3a and 3b were elucidated using NMR spectroscopy, X-ray crystallography, and DFT calculations. An intense absorption maximum was observed at 590 nm in the UV-vis spectrum of 3a in hexane. A pendular motion of AuPR3 group between Ge(IV) and Ge(II) of 3a and 3b occurring in the NMR time scale was found by the dynamic 1H NMR analysis, suggesting that the Ge(II) ligand has an enhanced electrophilicity to be attacked by the nucleophilic gold atom which closes to ‒1 oxidation state. DFT calculations of 3a revealed the existence of high-lying σ(Ge-Au) type HOMO and low-lying LUMO with germylene pπ nature. We show the bond formation and activation alternatively at Au or Ge atom, a methylation of digoldgermane 3a with MeOTf affords methylgermane 5. Moreover, the digoldgermane 3a reacts with Cl− ion of Ph4PCl and CH3C(O)Cl smoothly to form the corresponding chloride-addition product 7 and chlorogoldgermane 9, respectively. Cyclic trimerization reactions of aromatic isocyanates were high-efficiently catalyzed by 3a giving the corresponding 1,3,5-triaryl isocyanurates.
Validity and Reliability of the Persian Version of the Patient Readiness to Engage in Health Information Technology
Authors: Safdari Reza , Yu Ping , khenarinezhad Sahar , Savadkoohi Ehsan Ghazanfari , Javanmard Zohreh , Yousefi Ala , Barzegari Saeed 
Published: October 2021

Abstract
Background:The patient readiness to engage in health information technology (PRE-HIT) is a conceptually and psychometrically validated questionnaire survey tool to measure willingness of patients with chronic conditions to use health information technology (HIT) resources.Objectives:This study was aimed to translate and validate a health information technology readiness instrument, the PRE-HIT instrument, in the Persian language.Methods:A rigorous process was followed to translate the PRE-HIT instrument Persian language. The face and content validity was validated by impact score, content validity index (CVI) and content validity ratio (CVR). The instrument was used to measure readiness of 289 patients with chronic diseases to engage with digital health with four point Likert scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) used to check the validity of structure. The convergent and discriminant validity, and internal reliability was expressed by average variance extracted (AVE), construct reliability (CR), maximum shared squared variance (MSV), average shared square variance (ASV), and Cronbach's alpha coefficient. Independent samples t-test and one-way ANOVA were used respectively to compare the impact of sex, education and computer literacy on the performance of all PRE-HIT factors.Results:Eight factors were extracted: health information needs, computer anxiety, computer/internet experience and expertise, preferred mode of interaction, no news is good news, relationship with doctor, cell phone expertise, and internet privacy concerns. They explained 69% of the total variance. An acceptable model fit and internal reliability of the instrument was achieved. The survey found that the Iranian patients had high level of cell phone expertise, computer/internet experience, good relationship with doctor, and high level of health information need. They had moderate level of concern about internet privacy and computer anxiety. Compared with men, women had higher level of health information need and more agreed with “no news is good news”, conversely men had higher level of cell phone expertise.Conclusion:The Persian version of the PRE-HIT was empirically proved for its validity to assess the level of readiness of patients to engage with digital health.
Storm surge risk mitigation under ambiguity by coupled tropical cyclone and decision model
Authors: Fujimi Toshio , Si Ha , Jiang Xinyu , Mori Nobuhito , Begum Rawshan , Watanabe Masahide , Tatano Hirokazu , Nakakita Eiichi 
Published: October 2021

Abstract
Even as storm surge risks are increasing, the projections of such risks have an element of ambiguity. Consequently, policymakers find it extremely difficult to design policies to deal with storm surge risks. Therefore, in this study, we have linked the tropical cyclone models and stated preference experiments with decision models to provide a fresh perspective on households’ preferences for storm surge risk mitigation under ambiguity. We have validated households’ choices under the average and worst projections of storm surges and estimated the expected loss reduction, risk premium, and ambiguity premium for storm surge risk mitigation. Our study reveals that households pay disproportionately more attention to the worst case and that the ambiguity premium is not negligible. This leads to an important conclusion that policymakers should factor in the ambiguity premium to formulate risk mitigation policies.