bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urban Growth Modeling Considering Educational Institutions In Qazvin, Iran: An Investigation Into The Performance of Three ANFIS Methods
Authors: Ghobadiha Yousef , Motieyan Hamid 
Published: October 2021

Abstract
Due to increasing urbanization, the rapid expansion of urban spaces has become a major environmental concern over the last few decades. Therefore, modeling the urban expansion as a complex system has been scrutinized in recent years; however, determining the rules that lead to the expansion of urban areas has always been a challenging factor in this field, especially for disaggregated models like cellular automata (CA). To overcome this issue, in this research, an Adaptive Network-based Fuzzy Inference System (ANFIS) is proposed to enhance the simulation of urban growth through the automatic production of transition rules. The ANFIS can be associated with several inputs division methods, such as ANFIS accompanied by grid partitioning (ANFIS-GP), subtractive clustering (ANFIS-SC), and fuzzy c-means clustering (ANFIS-FCM). Hence, twenty-two ANFIS models based on Landsat images for the time interval from 2000 to 2010 and using different division methods were trained to investigate their effect on the efficiency of ANFIS in urban growth modeling. To examine the efficiency, the Cellular Automata-based Markov Chain (CA-MC) as a popular method was developed, and the simulation accuracy of CA-MC and the most accurate ANFIS models were obtained through comparison with observed data. The most accurate ANFIS-SC model had a Kappa of 0.76 and an overall accuracy of 93.41% for the 2019 simulated map. The results from this study reveal that the ANFIS model is effective at simulating urban expansion and the ANFIS-SC is superior to CA-MC, ANFIS-GP, and ANFIS-FCM models in urban expansion modeling.
Multiomics Combined Analysis of Low-Phosphorus and Drought Stresses in Lotus Japonicus
Authors: Peijie+ Ma , Yajiao+ Li , Jianhong Shu , Ziyuan Wang , Xi Chen , Xiaoli Wang 
Published: October 2021

Abstract
BackgroundLotus japonicus is a perennial herb in Leguminosae. It is a good feed source and improves soil. It is also an excellent honey source and medicinal plant. Low-phosphorus and drought stresses are among the main abiotic stress factors limiting the production of pulse roots. MethodsIn this experiment, the effects of low-phosphorus and drought stresses on Baimai roots were analyzed under three treatments: control (zl1), low-phosphorus stress (zl2) and drought stress (zl3). Results A total of 2176, 3026 and 2980 differentially expressed genes were screened in zl1 vs. zl2, zl1 vs. zl3 and zl2 vs. zl3, respectively. The differentially expressed genes were enriched in functions related to cells, membranes, ion binding, enzyme activity and resistance to low-phosphorus and drought stresses. The enriched KEGG pathways included the MAPK signaling pathway-plant, flavor biosynthesis, starch and sucrose metabolism and plant hormone signal transmission. In particular, a large number of differentially expressed genes were enriched in the response to plant hormone signal transmission pathways among different treatments, and gene expression changes were analyzed. In addition, the differentially expressed genes identified under drought stress and the phase response genes identified under osmotic stress were upregulated. Differential metabolites were mainly enriched in the important metabolic pathways of flavonoid biosynthesis, arginine and proline metabolism and starch and sucrose metabolism. Differentially expressed proteins were mainly enriched in GO terms related to cell, membrane, ion binding and enzyme activity functions, and the main enriched KEGG pathways included the ribosome, starch and sucrose metabolism and plant hormone signal transmission pathways. ConclusionIn conclusion, these results of transcriptome, metabolome and proteome sequencing are helpful for understanding the response mechanisms, gene changes, metabolite changes and protein changes in Baimai roots under low-phosphorus and drought stress conditions to lay a foundation for future research on Lotus japonicus.
Using Deep Learning To Uncover The Relation Between Age and Life Satisfaction
Authors: Kaiser Micha , Otterbach Steffen , Sousa-Poza Alfonso 
Published: October 2021

Abstract
This study applies a machine learning (ML) approach to around half a million observations from the German Socio-Economic Panel to assess the relation between life satisfaction and age. We show that with our ML-based approach it is possible to isolate the effect of age on life satisfaction across the lifecycle without explicitly parameterizing the complex relationship between age and other covariates – this complex relation is taken into account by a feedforward neural network. Our results show a clear U-shape relation between age and life satisfaction across the lifespan, with a minimum at around 55 years of age.
Knowledge and Attitudes Towards Clinical Trials Among Women with Ovarian Cancer: Results of The Acto Study
Authors: Mosconi Paola , Roberto Anna , Cerana Nicoletta , Colombo Nicoletta , Didier Florence , D'Incalci Maurizio , Lorusso Domenica , Peccatori Fedro Alessandro , Particpants Network of Clinicians Particpants Network of Clinicians 
Published: October 2021

Abstract
BackgroundAlthough there are several initiatives by research groups, regulatory authorities, and scientific associations to engage citizens/patients in clinical research, there are still obstacles to participation. Among the main discouraging aspects are incomplete understanding of the concepts related to the clinical trial, and the scant, sometimes confused, explanations given. The aim of this observational, cross-sectional multicenter study is to investigate knowledge, attitudes and trust in clinical research.We conducted a survey among women with ovarian cancer at their first follow-up visit or first therapy session, treated in centers belonging to the Mario Negri Gynecologic Oncology (MaNGO) and Multicenter Italian Trials in Ovarian Cancer (MITO) groups. A questionnaire on knowledge, attitudes and experience was assembled ad hoc after a literature review and a validation process involving patients of the Alliance against Ovarian Cancer (ACTO).ResultsFrom 25 centers 348 questionnaire were collected; 73.5% of responders were 56 years or older, 54.8% had a high level of education, more than 80% had no experience of trial participation. Among participants 59% knew what clinical trials are and 71% what the informed consent is. However more than half did not know the meaning of the term randomization. More than half (56%) were in favor of participating in a clinical trial, but 35% were not certain. Almost all responders acknowledged the doctor’s important role in decision-making. Patients associations were recognized as playing a powerful role in the design and planning of clinical trials. ConclusionsThis study helps depict the knowledge and attitudes of women with ovarian cancer in relation to clinical trial, suggesting initiatives aimed at improving trials’ culture, literacy and compliance, and fresh ways of communication between doctors and patients.
Objective Disassembly Sequence Planning of Used Mobile Phones Based on Improved Hybrid Graph Disassembly Model
Authors: Yin Fengfu , Wang Xiaodong , Li Hongrui , Sun Huadong , Yu Suiran , Li Lin 
Published: October 2021

Abstract
To solve the problems of environmental pollution and waste of resources caused by used mobile phones, the study of objective disassembly sequence planning is carried out for used mobile phones. In view of the connection of mobile phone parts with multiple parts and the need to disassemble components, the concepts of containment, exclusion, and components are integrated into the hybrid graph. An improved hybrid graph is proposed and the improved hybrid graph disassembly model suitable for mobile phone disassembly is established. The ant colony algorithm is used to search for the optimal disassembly sequence, with the objective of minimum disassembly time. Finally, the improved hybrid graph disassembly model is applied to obtain the disassembly solution of HUAWEI Honor 6. The experimental results demonstrate that the disassembly sequence generated by the improved hybrid graph disassembly model can describe the actual disassembly process of disassembling components with less disassembly time.
Transcriptome Analysis of Genes Associated with Autolysis of Coprinus Comatus
Authors: Guo Hong-Bo , Zhang Zhi-Fei , Wang Si-Yu , Yang Ji-Kang , Xing Xi-Yao , Qi Xiao-Jian , Yu Xiao-Dan 
Published: October 2021

Abstract
Coprinus comatus, widely known as “Jituigu”, is an important commodity and food in China. The yield of C. comatus, however, is substantially reduced by the autolysis of the fruiting bodies after harvest. To gain insight into the molecular mechanism underlying this autolysis, we divided the growth of C. comatus fruiting bodies into four stages: infant stage (I), mature stage (M), discolored stage (D), and autolysis stage (A). We then subjected these stages to de novo transcriptomic analysis using high-throughput Illumina sequencing. A total of 12,946 unigenes were annotated and analyzed with the Gene Ontology (GO), Clusters of Orthologous Groups of proteins (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG). We analyzed the differentially expressed genes (DEGs) between stages I and M, M and D, and D and A. Because the changes from M to D are thought to be related to autolysis, we focused on the DEGs between these two stages. We found that the pathways related to metabolic activity began to decline in the transition from M to D. In contrast, expression levels of chitinases, β-1,3-glucanases, and the ubiquitin-conjugating enzyme E2 related to degradation of cell walls were higher in D than in M. In addition, 20 genes of interest were analyzed by quantitative real-time PCR to verify their expression profiles at the four developmental stages. This study, which is the first to describe the transcriptome of C. comatus, provides a foundation for future studies concerning the molecular basis of the autolysis of its fruiting bodies.
Exploring Polygenic Contributors To Subgroups of Comorbid Conditions In Autism Spectrum Disorder
Authors: Klein Louis , D’Urso Shannon , Eapen Valsamma , Hwang Liang-Dar , Lin Ping-I 
Published: October 2021

Abstract
Individuals with autism spectrum disorder (ASD) have heterogeneous comorbid conditions. This study examined whether comorbid conditions in ASD are associated with polygenic risk scores (PRS) of ASD or PRS of comorbid conditions in non-ASD specific populations. Genome-wide single nucleotide polymorphism (SNP) data were obtained from 1,386 patients with ASD from the Autism Genetic Resource Exchange (AGRE) study. After excluding individuals with missing clinical information concerning comorbid conditions, a total of 707 patients were included in the study. A total of 18 subgroups of comorbid conditions (’topics’) were identified using a machine learning algorithm, topic modeling. PRS for ASD were computed using a genome-wide association meta-analysis of 18,381 cases and 27,969 controls. From these 18 topics, Topic 6 (over-represented by allergies) (p = 1.72 x 10−3) and Topic 17 (over-represented by sensory processing issues such as low pain tolerance) (p = .037) were associated with PRS of ASD. For associated topics, we further assessed their associations with PRS of their corresponding comorbid conditions based on non-ASD specific populations. However, these two topics were not associated with the PRS of allergies and chronic pain disorder, respectively. Characteristics of the present AGRE sample and those samples used in the original GWAS for ASD, allergies, and chronic pain disorder, may differ due to significant clinical heterogeneity that exists in the ASD population. Additionally, the AGRE sample may be underpowered and therefore insensitive to weak PRS associations due to a relatively small sample size. Findings imply that susceptibility genes of ASD may contribute more to the occurrence of allergies and sensory processing issues in individuals with ASD, compared with the susceptibility genes for their corresponding phenotypes. Since these comorbid conditions (i.e., allergies and pain sensation issues) cannot be attributable to the corresponding comorbidity-specific biological factors in non-ASD individuals, clinical management for these comorbid conditions may still depend on treatments for core symptoms of ASD.
How paediatricians investigate early developmental impairment: a qualitative descriptive study
Authors: Atherton Mark , Hart Anthony R 
Published: October 2021

Abstract
Background

Early developmental impairment (EDI) is common and has many aetiologies and, therefore, potential investigations. There are several published guidelines recommending aetiological investigations, and paediatricians’ views of them varies. Little is known on the thought processes underlying clinical decisions in investigating EDI. This study aimed to describe the thought processes affecting clinical decisions on the investigation of EDI within a nationalised health care system.
Methods

A qualitative descriptive study using semi-structured qualitative interviews performed in person or via video link with paediatricians who see children with EDI in England. As part of the interview, a case study of a fictional disease, Cavorite deficiency, modelled on biotinidase deficiency, was given to participants with the cost of testing, incidence and likelihood it would respond to treatment. This allowed exploration of cost without encumbrance from predisposing views and training on the condition. Thematic analysis was performed by iterative approach. Where participants stated they wanted to redirect money from investigations to treatment, were that even possible, we asked which services they would like to be better funded in their area.
Results

Interviews were conducted with 14 consultant paediatricians: 9 Community / Neurodisability, 2 General paediatricians, and 3 Paediatric Neurologists. Two themes were identified: the value of an aetiological diagnosis to families and managing risk and probability when investigating EDI. The latter contained 4 subthemes: ‘circumspection’ involved blanket investigations chosen irrespective of phenotype and high regard for guidelines; ‘accepting appropriate risk’ involved participants choosing investigations based on clinical phenotype, recognising some aetiologies would be missed; consultants found they ‘transitioned between practices’ during their career; and ‘improved practice’ was thought possible with better evidence on how to stratify investigations based on phenotype. Services that were most frequently reported to need additional funding were therapy services, early community developmental services, management of behaviour, sleep and mental health, and educational support.
Conclusions

There are many factors that influence paediatricians’ choice of aetiological investigation in EDI, but clinical factors are the most important. Paediatricians want better evidence to allow them to select the right investigations for each child without a significant risk of missing an important diagnosis.
Prognostic Factors for Persistent Symptoms in Adults With Mild Traumatic Brain Injury: an Overview of Systematic Reviews
Authors: Déry Julien , Ouellet Béatrice , de Guise Élaine , Bussières Ève-Line , Lamontagne Marie-Eve 
Published: October 2021

Abstract
Background: Mild traumatic brain injury (mTBI) is an increasing public health problem, because of its persistent symptoms and several functional consequences. Understanding the prognosis of a condition is an important component of clinical decision-making and can help to guide prevention of persistent symptoms following mTBI. Prognosis of mTBI has stimulated several empirical primary research papers and many systematic reviews leading to the identification of a wide range of factors. We aim to synthesize these factors to get a better understanding of their breadth and scope.Methods: We conducted an overview of systematic reviews. We searched in databases systematic reviews synthesizing evidence about prognosis of persistent symptoms after mTBI in the adult population. Two reviewers independently screened all references and selected eligible reviews based on eligibility criteria. They extracted relevant information using an extraction grid. They also rated independently the risk of bias using the ROBIS tool. We synthesized evidence into a comprehensive conceptual map to facilitate the understanding of prognostic factors that have an impact on persistent post-concussion symptoms.Results: From the 3857 references retrieved in database search, we included 25 systematic reviews integrating the results of 312 primary articles published between 1957 and 2019. We examined 35 prognostic factors from the systematics reviews. No single prognostic factor demonstrated convincing and conclusive results. However, age, sex and multiple concussions showed an affirmatory association with persistent post-concussion outcomes in systematic reviews.Conclusion: We highlighted the need of a comprehensive picture of prognostic factors related to persistent post-concussion symptoms. We believe that these prognostic factors would guide clinical decision and research related to prevention and intervention regarding persistent post-concussion symptoms.Systematic review registration: PROSPERO CRD42020176676
Statin Use is Associated With The Reduction in Hepatocellular Carcinoma Recurrence After Liver Surgery
Authors: Khajeh Elias , Moghadam Arash Dooghaie , Eslami Pegah , Ali-Hasan-Al-Saegh Sadeq , Ramouz Ali , Shafiei Saeed , Ghamarnejad Omid , Abbasi Sepehr , Rupp Christian , Springfeld Christoph , Carvalho Carlos , Probst Pascal , Mousavizadeh Seyed Mostafa , Mehrabi Arianeb 
Published: October 2021

Abstract
Background

Hepatocellular carcinoma (HCC) is the sixth most common form of cancer worldwide. Although surgical treatments have an acceptable cure rate, tumor recurrence is still a challenging issue. In this meta-analysis, we investigated whether statins prevent HCC recurrence following liver surgery.
Methods

PubMed, Web of Science, EMBASE and Cochrane Central were searched. The Outcome of interest was the HCC recurrence after hepatic surgery. Pooled estimates were represented as hazard ratios (HRs) and odds ratios (ORs) using a random-effects model. Summary effect measures are presented together with their corresponding 95% confidence intervals (CI). The certainty of evidence was evaluated using the Grades of Research, Assessment, Development and Evaluation (GRADE) approach.
Results

The literature search retrieved 1,362 studies excluding duplicates. Nine retrospective studies including 44,219 patients (2,243 in the statin group and 41,976 in the non-statin group) were included in the qualitative analysis. Patients who received statins had a lower rate of recurrence after liver surgery (HR: 0.41; 95% CI: 0.31– 0.54; p <0.001). Moreover, Statins decreased the recurrence one year after surgery (OR: 0.27; 95% CI: 0.16–0.47; P < 0.001), three years after surgery (OR: 0.22; 95% CI: 0.15–0.33; P < 0.001), and five years after surgery (OR: 0.28; 95% CI: 0.19–0.42; P < 0.001). The certainty of evidence for the outcomes was moderate.
Conclusion

Statins increase the disease-free survival of patients with HCC after liver surgery. These drugs seem to have chemoprevention effects that decrease the probability of HCC recurrence after liver transplantation or liver resection.
Prolonged PT and APTT Results Caused by Combined Usage of Rivaroxaban and Celecoxib: a Case Report
Authors: Liu Jie , Xu Hongmin , Shi Xinrong , Liu Shuye 
Published: October 2021

Abstract
Background: Data related to coagulation in patients or changes of coagulation parameters induced by rivaroxaban combined celecoxib remains scarce in a community setting. Case presentation: We reported a 79-year-old woman was sent to the emergency department of our hospital for intracerebral hemorrhage of left thalamus on February 7th, 2021. On March 25th, after taking rivaroxaban combined celecoxib, her prothrombin time (PT: 23.0 sec) and activated partial thromboplastin time (APTT: 46.3 sec) results were longer than her historical results ((13.0-13.9) sec and (31.7-35.1) sec), the results were not consistent with her clinical symptoms. It turns out that this is unusual side effects of drug combination. After withdrawal the medicine of celecoxib, the results of PT and APTT returned to normal.Conclusions: Although this situation only occurs in a small number of patients, the accumulation of clinical experience can help doctors save their lives. For boosting the safety of clinical medications, doctors should strengthen the evaluations of bleeding risk.
“This is streets ahead of what we used to do”: Staff perceptions of virtual clinical pharmacy services in rural and remote Australian hospitals
Authors: Allan Julaine , Webster Emma , Chambers Brett , Nott Shannon 
Published: October 2021

Abstract
Background:
The use of medications is the most common intervention in healthcare. However, unsafe medication practices and medication errors are a leading cause of injury and avoidable harm in healthcare systems across the world. A Virtual Clinical Pharmacy Service (VCPS) was introduced in rural and remote New South Wales public hospitals to support safe and effective use of medications. In this model clinical pharmacy services are delivered via a telehealth cart at the patient’s bedside and through electronic medical and pharmaceutical record systems. The aim of this research was to understand healthcare staff perspectives of the VCPS and identify areas for improvement.
Methods:
A qualitative approach informed by Appreciative Inquiry was used to investigate healthcare staff perceptions of the VCPS. Focus group discussions (n=15) with hospital staff and medical officers were conducted via videoconference at each study site. Focus groups explored issues, benefits and barriers three months after service implementation. Transcribed data was analysed using thematic analysis and team discussion to synthesise themes.
Results:
Focus group participants identified the value of the VCPS to patients, to the health service and to themselves. They also identified enhancements to increase value for each of these groups. Perceived benefits to patients included access to specialist medication advice and improved medication knowledge. Staff valued access to an additional, trusted workforce who provided back-up and guidance. Staff also reported confidence in improved patient safety and identification of medication errors. Enhanced compliance with antimicrobial stewardship and hospital accreditation standards were beneficial to the health service. Suggested improvements included extending virtual service hours and widening patient eligibility to include aged care patients.
Conclusions:
The VCPS brought a positive, collegiate culture regarding medications. Healthcare staff perceived the VCPS was effective and an efficient way for the health service to supply pharmacy services to smaller hospitals. The ease of use, model of delivery, availability, local knowledge and responsiveness of highly skilled pharmacists was the key to user satisfaction.
Time-Rescaling Regression Method for Exponential Decay Time Series Predictions
Authors: Shintani Masaru , Umeno Ken 
Published: October 2021

Abstract
The exponential law has been discovered in various systems around the world. In this study, we introduce two existing and one proposed analytical method for exponential decay time-series predictions. The proposed method is given by a linear regression that is based on rescaling the time axis in terms of exponential decay laws. We confirm that the proposed method has a higher prediction accuracy than existing methods by performance evaluation using random numbers and verification using actual data. The proposed method can be used for analyzing real data modeled with exponential functions, which are ubiquitous in the world.