ENGLISH

Biomedical and Computational Biology. Second International Symposium, BECB 2022 Virtual Event, August 13–15, 2022 Revised Selected Papers

Book information

Publisher
Springer
Year
2023
ISBN
9783031251900, 9783031251917
Language
english
Format
PDF
Filesize
43 MB (44997495 bytes)
Series
Lecture Notes in Bioinformatics, 13637
Pages
\623
Time added
2023-02-07 20:13:33

Description

Preface Organization Contents The Charge Transfer Network Model for Arbitrary Proteins Complexes 1 Introduction 2 Method and Theoretical Details 3 Results and Discussions 4 Conclusions References A Self-supervised 3D/2D Registration Method for Incomplete DSA Vessels 1 Introduction 1.1 A Subsection Sample 2 Method 2.1 Overview 2.2 Rigid Registration Stage 2.3 Elastic Registration Stage 3 Experiments 3.1 Data Preparation 3.2 Experiment Method 3.3 Evaluation Metrics 3.4 Results and Discussion 4 Conclusion References The Potential Role of RNA “Writer” TRMT61B in the Immune Regulation of Breast Cancer 1 Introduction 2 Materials and Methods 2.1 Data and Pre-processing of Breast Cancer 2.2 Immune Response Prediction 2.3 Genetic Alterations of the RNA “Writer” in Breast Cancer 2.4 Relationship Between Genes and Pathways 2.5 Statistics 3 Results 3.1 Abnormalities in the Genomic RNA “Writer” are Associated with Breast Cancer Prognosis 3.2 Amplification, Deletion, and Mutation of the RNA “Writer” in Breast Cancer 3.3 Differential Expression of the RNA “Writer” in Breast Cancer 3.4 Correlation Between RNA “Writers” 3.5 RNA “Writer” TRMT61B Functions in Immunomodulatory 4 Discussion 5 Conclusion References Extraction, Composition Analysis and Blood Lipid Lowering Activity of Rana chensinensis Ovum Oil 1 Introduction 2 Methods 2.1 Experimental Materials and Instruments 2.2 Experimental Method 3 Results 3.1 Extraction of RCOO 3.2 Composition Analysis of RCOO 3.3 Analysis of the Hypolipidemic Effect of RCOO 4 Discussion and Conclusion References Arabinogalactan Prevented APAP-Induced Acute Liver Injury by Regulating the Intestinal Flora in Mice 1 Introduction 1.1 A Subsection Sample 2 Materials and Methods 2.1 Chemical Compounds and Reagents 2.2 Animals and Treatment 2.3 Biochemical Marker Assays 2.4 HE, TUNEL, Hoechst 33258, CYP2E1, and 4-HNE Staining 2.5 Western Blot Analysis 2.6 Analysis of the Composition of the Mouse Intestinal Flora 2.7 Statistical Analysis 3 Results and Analysis 3.1 AG-Induced Changes in Gut Microbiota Composition 3.2 Effects of AG on Inflammatory Factors and Endotoxins in Mice with Liver Injury Caused by APAP 3.3 The Effect of AG on the Liver Index of Mice 3.4 The Effects of AG on Mouse Hepatocyte Necrosis 3.5 The Effect of AG on Mouse Hepatocyte Apoptosis 4 Conclusions References Research on Craft Optimization of Wheat Straw Pretreatment 1 Introduction 2 Materials and Methods 2.1 Experimental Materials 2.2 Experimental Method 3 Experimental Results and Analysis 3.1 Composition Analysis of Wheat Straw 3.2 Analysis of Lignocellulase Activity 3.3 Optimization of Wheat Straw Pretreatment Process 3.4 Hydrolysis and Saccharification of Pretreated Wheat Straw 3.5 Optimization of Pretreatment Conditions for Wheat Straw 3.6 Structure Analysis of Pretreated Wheat Straw 4 Conclusion and Discussion References The Effect of Early fMRI Abnormalities on Later Cognitive Dysfunction in mTBI: A Multi-modal Analysis of rs-fMRI and DTI 1 Introduction 2 Materials and Methods 2.1 Subjects 2.2 MR Imaging 2.3 Neurocognitive Assessment 2.4 Image Processing and Data Analysis 3 Results 3.1 ALFF Map 3.2 ReHo Map 3.3 DTI 3.4 GCS and MMSE 3.5 ALFF, ReHo, DTI and MMSE 4 Discussion 5 Conclusion References Three-Dimensional Model of Cerebral Artery Based on Medical Image 1 Introduction 2 Processing of CT Images 2.1 Import of Image 2.2 Threshold Segmentation 2.3 Creating a 3D Model of Plain Sweep 2.4 Import of Arterial Phase Model 3 Generation of Cerebral Artery Model 3.1 Creation of a New Mask 3.2 Boolean Operation 3.3 Generation of 3D Models of Cerebral Arteries 4 Conclusion References Screening and Efficacy Evaluation of High-Yielding Manganese Peroxidase Strain 1 Introduction 2 Materials and Methods 2.1 Main Reagents and Instruments 2.2 Main Experimental Methods 3 Test Results and Analysis 3.1 Preliminary Screening of High-Yielding Manganese Peroxidase Strains 3.2 Rescreening of High-Yielding Manganese Peroxidase Strains 3.3 Morphology and Biological Identification of Strain 3.4 Optimization of Fermentation Conditions for Fusarium Proliferatum 3.5 Analysis of Enzymatic Properties 4 Conclusion and Discussion Appendix References Breeding and Efficiency Evaluation of a High-Yielding Cellobiohydrolase Strain 1 Introduction 2 Test Materials and Methods 2.1 Main Test Materials and Instruments 2.2 Main Experimental Methods 3 Test Results and Analysis 3.1 Preliminary Screening of High-Yielding Cellobiohydrolase Strains 3.2 Rescreening of High-Yielding Cellobiohydrolase Strains 3.3 Morphology and Biological Identification of Strain 3.4 Cladosporium ARTP Mutation Breeding 3.5 Genetic Stability Analysis of Mutant Strains 3.6 Analysis of Cellobiohydrolase Enzymatic Properties 4 Results and Discussion Appendix References Microanatomy of Left Bundle Branch in Chinese Adult Hearts: Aiming to the Research on Morphological Information 1 Introduction 2 Materials 3 Methods 3.1 Micro-dissection of LBB Under Stereomicroscope 3.2 Examining LBB and Measurement of Anatomical Data 3.3 Statistics 4 Results 4.1 Morphological Characteristics of LBB 4.2 Results of Measuring LBB 4.3 Morphological Differences of LBB Between the Chinese and the Foreigners 5 Discussion 5.1 Clinical Significance of the Morphological Bioinformatics of LBB 5.2 Possibility of Racial Differences in Morph of LBB and Significance of Investigation to One Ethnic Group 5.3 Deficiencies and Prospects of This Research 6 Conclusion References Screening of Key Genes in Retinoblastoma and Construction of ceRNA Regulatory Network 1 Introduction 2 Materials and Methods 2.1 Data Acquisition and Pretreatment 2.2 Differential Gene Analysis 2.3 Protein Interaction Network Analysis 2.4 Functional Enrichment Analysis 2.5 Construction of ceRNA Regulatory Network 3 Results 3.1 Data Process 3.2 Differential Gene Analysis Results 3.3 Interaction Network Analysis Results 3.4 Functional Enrichment Analysis Results 3.5 ceRNA Regulatory Network Construction Results 4 Discussion 5 Conclusion References Protective Effects of Resveratrol on Brain Edema and Microstructural Changes in Human Brain After Acute Alcohol Intake: Assessment by Diffusion Weighted Kurtosis Imaging 1 Introduction 2 Materials and Methods 2.1 Study Participants 2.2 Experimental Equipment and Materials 2.3 Experimental Design 2.4 Conventional MR and DKI Scan Sequences and Parameters 2.5 Imaging and Data Processing 2.6 Data Analysis 3 Results 3.1 Clinical Manifestations of Alcohol Intake 3.2 DKI Results 4 Discussion 5 Limitation 6 Conclusion References Effects of Music Style on Mental Fatigue Induced by Continuous Cognitive Tasks 1 Introduction 2 Materials and Method 2.1 Participants 2.2 Procedures 2.3 Statistical Methods 3 Results 3.1 Psychological Assessment 3.2 Performance Assessment 4 Discussion 5 Conclusion References Construction of Constitutive Saccharomyces Cerevisiae Engineered Strain of β-glucosidase 1 Introduction 2 Materials and Methods 2.1 Materials 2.2 Methods 3 Results 3.1 Construction and Verification of PαBC Expression Cassette 3.2 Verification of pYES2- PαBC and pYES2- PαBC- rDNA Vectors 3.3 Recombinant Plasmid Transferred into S. Cerevisiae and Verification 3.4 ddPCRMethod for Identification of Copy Numbers and Enzyme Activity Determination 3.5 Analysis of Genetic Stability of β-glucosidase S. Cerevisiae Engineered Strains 3.6 Characterization of β-glucosidase Enzyme Properties 4 Discussion 5 Conclusion Appendix References High-Yielding Laccase Strain Breeding and Optimization of Fermentation Conditions 1 Introduction 2 Materials and Methods 2.1 Main Reagents and Instruments 2.2 Main Experimental Methods 3 Test Results and Analysis 3.1 Preliminary Screening of High-Yielding Laccase Strains 3.2 Rescreening of High-Yielding Laccase Strains 3.3 Morphology and Biological Identification of Strain 3.4 Mucor Fragilis ARTP Mutation Breeding 3.5 Genetic Stability Analysis of Mutant Strains 3.6 Optimization of Fermentation Conditions for Mucor Fragilis 4 Conclusion and Discussion Appendix References Chinese Medical Text Classification with RoBERTa 1 Introduction 1.1 The Situation of Chinese Medical Text Process 1.2 Our Solution 2 Related Work 2.1 Remaining Chinese Text Classification Solutions 2.2 The Transformers 2.3 The BERT 3 Methods 3.1 RoBERTa Model 3.2 RoBERTaTCM Model 4 Experiment and Result 4.1 Model Baselines 4.2 The Metrics 4.3 The Evaluation Result 5 Discussion and Conclusion 5.1 The Effects of Tokenizer 5.2 The Effects of RoBERTaTCM 6 Conclusion 7 Further Work 7.1 The Disadvantage 7.2 Further Work References Operation Status and Optimization Strategy of Hierarchical Medical System in Wuhan 1 Introduction 2 Implementation Policy of HMS in Wuhan 3 Investigation on the Implementation of HMS in Wuhan 3.1 Study Objects and Methods 3.2 Study Results 4 Reasons for Slow Implementation of HMS in Wuhan 4.1 Low Awareness Rate of HMS 4.2 Lack of Necessary Conditions and Equipment in Primary Medical Institutions 4.3 Complicated Referral Procedures 4.4 Patients First Medical Treatment Disorder 5 The Optimization Strategy of HMS in Wuhan 5.1 Improving the Enthusiasm of Residents to Implement the HMS 5.2 Strengthening the Level of Primary Medical Care 5.3 Improving the Two-Way Referral Mechanism 5.4 Implementing Multi-point Practice to Promote the Rational Allocation of Medical Human Resources 5.5 Establishing an Integrated Medical Network and Giving Play to the Leverage of Medical Insurance 6 Conclusion References Analysis and Forecast of Meteorological Factors on Henoch-SchÖnlein Purpura in Jining 1 Introduction 2 Materials and Methods 2.1 Data Source 2.2 Analysis Method 3 Relationship Between HSP and Meteorological Conditions 3.1 Monthly Characteristics of HSP Incidences 3.2 Analysis of the Relationship Between the Incidence of HSP and Meteorological Factors 3.3 Establishment of Stepwise Regression Prediction Equation 3.4 Test of Prediction Equation 4 Discussion References Human Machine Interaction Using Zero Force Sensing Switches Incorporating Self-adaptation 1 Introduction 2 Optical Sensor 3 Adapting Systems 4 Mitigating Environment Effects 5 Discussion and Conclusion References Driving, Personality and Decision-Making: A Study for Understanding Human Behavior 1 Introduction 2 Method 2.1 Participants 2.2 Questionnaire 3 Results 3.1 Correlations 3.2 Regressions 4 Discussion References The Brain Activity of the Bilingual Code-Switching Communication 1 Introduction 2 Method, Investigation, Results 3 Conclusion References A Symbolic Regression Approach to Hepatocellular Carcinoma Diagnosis Using Hypermethylated CpG Islands in Circulating Cell-Free DNA 1 Introduction 1.1 Hepatocellular Carcinoma 1.2 CpG Islands 1.3 Cell-Free DNA 1.4 Symbolic Regression 2 Methods 3 Results 4 Discussion 5 Conclusion References Multi-agent Neural-Like Models for the Integration of Multimodal Medical Examination Data 1 Introduction 2 Materials and Methods 3 Results 4 Discussion References The Importance of Prognostic Variables to Monitoring Heart Failure Using Health Management Systems 1 Introduction 2 Search Strategy 3 Results and Discussion 4 Conclusions References Real-Time Contactless Breathing Monitoring System Using Radar with Web Server 1 Introduction 2 The System Design 2.1 Hardware Components 2.2 The Server and Software 3 Validation 4 Discussion and Results 5 Conclusion 6 Future Work References Neuroscience, Neuroaesthetics, Semiotics and Effective Communication of COVID-19 Warning Information 1 Introduction 1.1 Warnings in Messages 1.2 Decision-Making 1.3 Effectiveness of Messages 1.4 This Study 1.5 Assumptions 2 Methods 3 Discussion 3.1 Language Effects 3.2 Cognitive Bias and the Ostrich Effect 3.3 Progress Monitoring 3.4 Intention Versus Behaviour at the Cognitive Level of Analysis 3.5 Warning by Using Fear 3.6 Social Incentive 3.7 Aesthetics and Colours 3.8 Summary References The Effect of CoViD-19 Pandemic on the Hospitalization of a Department of Oncology of an Italian Hospital 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussions and Conclusions References EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department 1 Introduction 2 Methods 2.1 NEDOCS 2.2 EDWIN 3 Results 4 Discussion and Conclusion References A Bicentric Study to Investigate the Impact of COVID-19 on Urological Patients 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussions and Conclusions References Comparison Between Two Hospitals to Study the Impact of COVID-19 on Emergency Medicine Activities 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussions and Conclusions References Implementation of DMAIC Cycle to Study the Impact of COVID-19 on Emergency Department-LOS 1 Introduction 2 Methods 2.1 Define 2.2 Measure 2.3 Analyse 2.4 Improve 3 Results 3.1 Control 4 Discussion and Conclusions References Machine Learning Algorithms to Predict LOS in Patients Undergoing Heart Bypass Surgery: A Bicentric Study 1 Introduction 2 Methods 2.1 Machine Learning 3 Results 4 Discuss and Conclusion References Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital “Betania” 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discuss and Conclusion References Patient Abandonment Rate Assessment in the Emergency Department of a Nursing Home Conventioned: The Case of Evangelical Hospital “Betania” 1 Introduction 2 Methods 2.1 Data Collection 2.2 Data Analysis 3 Results 4 Discuss and Conclusion References Statistical Analysis and Logistic Regression to Assess How COVID-19 Has Changed Department of General Medicine Patients’ Management: A Bicentric Study 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussion and Conclusions References Multiple Regression Model to Analyze the Length of Stay for Patients Undergoing Laparoscopic Appendectomy: A Bicentric Study 1 Introduction 2 Method 2.1 Multiple Linear Regression 3 Results 4 Discussion and Conclusion References Machine Learning Algorithms to Predict Healthcare Associated Infections in a Neonatal Intensive Care Unit 1 Introduction 2 Methods 2.1 Machine Learning 3 Results 4 Discussion and Conclusions References Modeling LOS After Percutaneous Valvuloplasty: A Bicentric Study 1 Introduction 2 Methods 2.1 Multiple Linear Regression 3 Results 4 Discussion and Conclusion References Effects of Covid-19 Protocols on Treatment of Patients with Head-Neck Diseases 1 Introduction 2 Methods 2.1 Dataset Characterization 3 Results 4 Discussion and Conclusions References Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study 1 Introduction 1.1 A Subsection Sample 2 Methods 2.1 Machine Learning 3 Results 4 Discussion and Conclusions References Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study 1 Introduction 2 Methods 2.1 Machine Learning 3 Results 4 Discuss and Conclusion References Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study 1 Introduction 2 Methods 2.1 Machine Learning Algorithms 3 Results 4 Discuss and Conclusion References The Effect of CoViD-19 Pandemic on the Hospitalization of Two Department of Emergency Surgery in Two Italian Hospitals 1 Introduction 2 Methods 3 Logistic Regression 3.1 Data Analysis 4 Results 5 Discussions and Conclusions References Analysis of the Reorganisation of Skin Transplantation Surgeries During the COVID-19 Pandemic 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussion and Conclusion References Covid-19: The Effect on Hospitalization Patient of Ophthalmology Department in “Antonio Cardarelli” Hospital 1 Introduction 2 Methods 3 Results 4 Discussions and Conclusions References Use of Classification Algorithms to Investigate Inpatient Stay for Retinal Diseases 1 Introduction 2 Methods 2.1 Machine Learning 3 Results 4 Discussion and Conclusion References Use of Statistical Analysis to Evaluate How Covid-19 Has Changed the Management of the Neurosurgery Department of the AORN “A. Cardarelli” in Naples 1 Introduction 2 Methods 3 Results 4 Discussion and Conclusion References Predictive Algorithms to Study the Hospitalization for Knee Replacement Surgery: A Bicentric Study 1 Introduction 2 Methods 2.1 Multiple Linear Regression 2.2 Machine Learning 3 Results 4 Discussion and Conclusion References Analysis of Hospital Admissions of Neurological Patients in the COVID-19 Era: Comparison Between Hospitals 1 Introduction 2 Methods 3 Results 4 Discussion and Conclusion References Regression Models to Study Emergency Surgery Admissions 1 Introduction 2 Methods 2.1 Data Processing and Multiple Linear Regression 2.2 Machine Learning Regression Algorithms 3 Results and Discussion 4 Conclusions References Impact of COVID-19 in a Surgery Department: Comparison Between Two Italian Hospitals 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussion and Conclusion References How has COVID-19 Changed the Activities of Plastic Surgery? A Bicentric Study 1 Introduction 2 Methods 2.1 Data Analysis 3 Results 4 Discussion and Conclusion References Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization 1 Introduction 2 Methods 2.1 Multiple Linear Regression 3 Results 4 Discussion and Conclusion References Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery 1 Introduction 2 Methods 2.1 Multiple Linear Regression 2.2 Machine Learning 3 Results 4 Discussion 5 Conclusion References Regression Model to Predict LOS in General Medicine Department: A Bicentric Study 1 Introduction 2 Methods 2.1 Multiple Linear Regression 3 Results 4 Discussion and Conclusion References Study of Variables Influencing LOS with Machine Learning in Patients with Kidney Disease 1 Introduction 2 Methods 2.1 Machine Learning 3 Results 4 Discuss and Conclusion References Small Animal PET Imaging: Towards an Imaging Analysis Approach for System Average Performance Conclusion 1 Introduction 2 Theory 2.1 Algebraic Techniques 2.2 Statistical Techniques 2.3 Penalized Techniques 3 System Description 3.1 System Configuration 3.2 Data Acquisition 3.3 System Matrix 4 Results 5 Discussion 6 Conclusions References Author Index

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