bluuebunny/crossref_metadata_2025_split huggingface dataset:
The cross-scale correlations between individuals and nations in COVID-19 mortality
Authors: Zhang Lei , She Yu-Rong , She Guang-Hui , Li Rong , She Zhen-Su 
Published: January 2022

Abstract
It is challenging to quantitatively clarify the determining medical and social factors of COVID-19 mortality, which varied by 2-3 orders of magnitude across countries. Here, we present evidence that the whole-cycle patterns of mortality follow a logistic law for 52 countries. A universal linear law is found between the ICU time in the early stage and the most important quantity regarding the epidemic: its duration. Saturation mortality is found to have a power law relationship with median age and bed occupancy, which quantitatively explains the great variation in mortality based on the two key thresholds of median age (=38) and bed occupancy (=15%). We predict that deaths will be reduced by 36% when the number of beds is doubled for countries with older populations. Facing the next wave of the epidemic, this model can make early predictions on the epidemic duration and medical supply reservation.
Hidden Blood Loss of Total Knee FVIII Prophylaxis in Hemophilia Arthritis : An Analysis of Influencing Factors
Authors: Shen ShaoNing , Wu DongXiao , Lv ShuaiJie , Tong PeiJian 
Published: January 2022

Abstract
BackgroundTotal knee arthroplasty is the leading way to treat hemophilia arthritis. At present, there is a lack of research on the influencing factors of blood loss in total knee arthroplasty for hemophilia arthritis. This study comprehensively explores the definite factors affecting the hidden blood loss in total knee arthroplasty for hemophilia patients.Materials and methodsNinety-two hemophilia A patients who underwent total knee arthroplasty in our center were included. Demographic characteristics, laboratory data, surgical data, and complications were collected. The Gross equation and Sehat equation were used to calculate the estimated value of hidden blood loss. Multivariate stepwise linear regression analysis was used to determine the influencing factors of hidden blood loss.ResultThe hidden blood loss of hemophilia patients undergoing total knee arthroplasty was 1069.51±341.99mL, and the age was positively correlated with the hidden blood loss (P<0.001), while tranexamic acid, FVIII prophylaxis, and incremental invivo recovery were negatively correlated with the hidden blood loss (P<0.001, P=0.008, P=0.017).ConclusionElderly patients have a greater risk of blood loss, and additional preventive measures can be appropriately added. Intraoperative intra-articular injection of tranexamic acid is recommended to reduce hidden blood loss, FVIII prophylaxis is recommended for every patient. We recommend that all HA patients measure the incremental invivo recovery and develop a personalized coagulation factor infusion regimen.
Assessment of Deep Convolutional Neural Network Models for Species Identification of Forensically-Important Fly Maggots Based on Images of Posterior Spiracles
Authors: Apasrawirote Darlin , Boonchai Pharinya , Muneesawang Paisarn , Nakhonkam Wannacha , Bunchu Nophawan 
Published: January 2022

Abstract
Forensic entomology is the branch of forensic science that is related to using arthropod specimens found in legal issues. Fly maggots are one of crucial pieces of evidence that can be used for estimating post-mortem intervals worldwide. However, the species-level identification of fly maggots is difficult, time consuming, and requires specialized taxonomic training. In this work, a novel method for the identification of different forensically-important fly species is proposed using convolutional neural networks (CNNs). The data used for the experiment were obtained from a digital camera connected to a compound microscope. We compared the performance of four widely used models that vary in complexity of architecture to evaluate tradeoffs in accuracy and speed for species classification including ResNet-101, Densenet161, Vgg19_bn, and AlexNet. In the validation step, all of the studied models provided 100% accuracy for identifying maggots of 4 species including Chrysomya megacephala (Diptera: Calliphoridae), Chrysomya (Achoetandrus) rufifacies (Diptera: Calliphoridae), Lucilia cuprina (Diptera: Calliphoridae), and Musca domestica (Diptera: Muscidae) based on images of posterior spiracles. However, AlexNet showed the fastest speed to process the identification model and presented a good balance between performance and speed. Therefore, the AlexNet model was selected for the testing step. The results of the confusion matrix of AlexNet showed that misclassification was found between C. megacephala and C. (Achoetandrus) rufifacies as well as between C. megacephala and L. cuprina. No misclassification was found for M. domestica. In addition, we created a web-application platform called thefly.ai to help users identify species of fly maggots in their own images using our classification model. The results from this study can be applied to identify further species by using other types of images. This model can also be used in the development of identification features in mobile applications. This study is a crucial step for integrating information from biology and AI-technology to develop a novel platform for use in forensic investigation.
Prediction of the Occurrence of Leprosy Reactions Based on Bayesian Networks
Authors: Rodrigues Rafael Saraiva de Andrade , Heise Eduardo Ferreira José , Hartmann Luis Felipe , Rocha Guilherme Eduardo , Olandoski Marcia , Stefani Mariane Martins de Araújo , Latini Ana Carla Pereira , Soares Cleverson Teixeira , Belone Andrea , Rosa Patrícia Sammarco , Pontes Maria Araci de Andrade , Gonçalves Heitor de Sá , Cruz Rossilene , Penna Maria Lúcia Fernandes , Carvalho Deborah Ribeiro , Fava Vinicius Medeiros , Bührer-Sékula Samira , Penna Gerson Oliveira , Moro Claudia Maria Cabral , Nievola Julio Cesar , Mira Marcelo Távora 
Published: January 2022

Abstract
Background: Leprosy reactions (LR) are severe episodes of intense activation of the host inflammatory response, of uncertain etiology, today the leading cause of permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there are limited attempts to combine this information in order to estimate the risk of a leprosy patient to develop LR. Here we present an artificial intelligence (AI)-based system able to estimate risk of LR using clinical, demographic and genetic data.Methods: The study includes four datasets from different regions of Brazil, totalizing 1,450 leprosy patients followed prospectively for at least two years to assess the occurrence of LR. Data mining using WEKA software was performed following a two-step protocol to select the variables included in the AI system, based on Bayesian Networks and developed using the NETICA software.Results: Analysis of the complete database resulted in a system able to estimate LR-risk with 82.7% accuracy, 79.3% sensitivity, and 86.2% specificity. When using only databases for which host genetic information associated with LR was included, the performance increased to up to 87.7% accuracy, 85.7% sensitivity, and 89.4% specificity.Conclusion: We produced an easy-to-use, online, free-access system that allows the identification of leprosy patients at high risk of developing LR. Risk assessment of LR for individual patients may detect candidates close monitoring, with potential positive impact upon the prevention of permanent disabilities, the quality of life of the patients, as well as upon leprosy control programs.
The Risk of Esophageal Food Impaction In Eosinophilic Esophagitis Patients; The Role of Clinical And Socioeconomic Factors
Authors: Alhmoud Tarik , Ghazaleh Sami , Ghanim Marcel , Redfern Roberta 
Published: January 2022

Abstract
Background: Eosinophilic esophagitis (EoE) patients present with dysphagia and often suffer from esophageal food impaction (EFI). EFI can lead to life-threatening perforation, and requires emergent endoscopic intervention. The aim of this study is to evaluate the risk factors for EFI in EoE patients.Methods: This is a retrospective study performed at a tertiary health care system. Medical records and endoscopy images of EoE cases were reviewed. Clinical characteristics and outcomes including EFIs were documented. We used Zip-code median household income as a surrogate for patients’ socioeconomic status.Results: 291 EoE cases were included, mean age was 42 years. Most patients (65%) had classic EoE endoscopic findings including linear furrows and/or concentric rings, however, a significant proportion (47%) had findings suggestive of gastroesophageal reflux disease (GERD), such as the presence of erosive-esophagitis, a hiatal hernia or Schatzki’s ring. 48 patients (16%) developed one or more esophageal food impaction (EFI). The risk of EFI was less likely in the absence of furrows and/or rings; odds ratio (OR) = .28, 95%CI (0.11, 0.72) [P = .008]. Females had less EFI risk; OR = 0.42, 95%CI (0.19, 0.95) [P = .04]. The type of medical insurance and socioeconomic status was not associated with EFI risk.Conclusion: EFI risk is higher in EoE patients with esophageal furrows and/or rings and in men. Aggressive treatment might be required in this population. GERD and EoE can coexist in many patients. Further studies are required to examine the role of the socioeconomic status in EoE complications.
The Efficacy of Transdiagnostic Cognitive Behavioral Therapy on Migraine Headache: A Randomized Clinical Trial
Authors: Soleimanian-Boroujeni Forouzandeh , Badihian Negin , Badihian Shervin , Shaygannejad Vahid , Gorji Yousef 
Published: January 2022

Abstract
Introduction: Psychological interventions are shown to be effective in migraine, but not utilized routinely yet. We aimed to evaluate the efficacy of transdiagnostic cognitive behavioral therapy (TCBT) on people with migraine (PwM). Method: This study was conducted on 40 PwM aged 20-50 years. We randomly assigned participants to two groups of intervention, receiving 10 sessions of TCBT, and control. Days with headache, headache severity, migraine-related disability and effects on daily life, number of pain-relivers taken for headache, depression, and anxiety were assessed pre-intervention, post-intervention (three-month follow-up), and one-month after TCBT termination (four-month follow-up).Results: Thirty-five participants suffering moderate to severe migraine completed the study (16 and 19 in TCBT and control groups, respectively). TCBT improved all measured items between study time-points (p<0.05) in the intervention group, while such an improvement was not observed in the control group. Between group comparisons revealed superiority of TCBT group compared to the control group in most measured items at three- and four-month follow-ups (p<0.05).Conclusion: Ten sessions of TCBT improved migraine severity, associated disability, anxiety, and depression in PwM, with persistent effects after one month of therapy termination. TCBT is an affordable, practical, and feasible intervention to be utilized for PwM.Protocol registration: The study protocol was registered in clinicaltrial.gov (NCT03701477) prior to enrollment.
Optimization of Nitrogen Demand in Vegetables by Different Impacts on Autotrophic and Heterotrophic Nitrification
Authors: Dan Xiaoqian , Meng Lei , He Mengqiu , He Xiaoxiang , Zhao Chang , Chen Shending , Zhang Jinbo , Cai Zucong , Müller Christoph 
Published: January 2022

Abstract
Aims The understanding of the interactions between N transformations and N uptake by plants in greenhouse soils with large N accumulation is still not clear. The aim is to understand the plant- soil interactions (vegetables) on N transformations with respect to N supply. Methods 15N tracing studies were conducted in two greenhouse soils to simultaneously quantify soil gross N transformation and plant N uptake rates using the Ntraceplant tool. Results There were significant feedbacks between vegetable N uptake and soil gross N transformation rates, whether soil N accumulation occurred or not. Plant NO3– uptake rates (UNO3) were higher than the NH4+ uptake rates (UNH4), which is consistent with the NO3–-preference of the vegetable plants studied. While UNH4 was still responsible for 6-49% of total N uptake rates, significantly negative relationships between UNH4 and NH4+ immobilization rate and autotrophic nitrification rate (ONH4) were observed. ONH4 was significantly inhibited in the presence of plants and decreased with time. ONH4 (1.11 mg N kg-1 d-1) was much lower than UNO3 (8.29 mg N kg-1 d-1) in the presence of plants. However, heterotrophic nitrification rate (ONrec), which ranged from 0.10 to 8.11 mg N kg-1 d-1 was significantly stimulated and was responsible for 5-97% of NO3– production in all plant treatments, providing additional NO3– to meet N requirements of plants and microorganisms.Conclusions The management of organic N fertilizers should be improved to stimulate inorganic N production via heterotrophic nitrification in greenhouse cultivation.
A Plasmonic Structure of Fano Resonance in the MIM Waveguide with r-Shaped Resonator for Refractive Index Sensor
Authors: Rohimah Siti , Tian He , Wang Jinfang , Chen Jianfeng , Li Jina , Liu Xing , Cui Jingang , Xu Qiang , Hao Yu 
Published: January 2022

Abstract
A plasmonic structure of metal-insulator-metal (MIM) waveguide consisting of a single baffle waveguide and an r-shaped resonator is designed to produce Fano resonance. The finite element method uses the finite element method to analyze the transmission characteristics and magnetic field distributions of the plasmonic waveguide distributions. The simulation results exhibit two Fano resonances that can be achieved by the interference between a continuum state in the baffle waveguide and a discrete state in the r-shaped resonator. The Fano resonances can be simply tuned by changing geometrical parameters of the plasmonic structure. The value variations of geometrical parameters have different effects on sensitivity. Thus, the sensitivity of the plasmonic structure can achieve 1333 nm/RIU, with a figure of merit of 5876. The results of the designed plasmonic structure offer high sensitivity and nano-scale integration, which are beneficial to refractive index sensors, photonic devices at the chip nano-sensors, and biosensors applications.
Hepatitis B, C and Human Immunodeficiency Virus Knowledge Among the General Greek Population: Results from Τηε Hprolipsis Nationwide Survey
Authors: Kaskafetou Sylvia , Karakosta Argiro , Sypsa Vana , Kalpourtzi Natasa , Gavana Magda , Vantarakis Apostolos , Rachiotis George , Chlouverakis Grigoris , Trypsianis Grigoris , Voulgari Paraskevi V. , Alamanos Yannis , Papatheodoridis George , Touloumi Giota 
Published: January 2022

Abstract
Background: Although several studies on hepatitis B (HBV), C (HCV) and human immunodeficiency virus (HIV) infection have been conducted in Greece, little is known on the knowledge level of the Greek population towards these three infections. Our aim was to assess the knowledge level of the adult Greek general population about the HBV, HCV and HIV.Methods: Data were derived from the first general population Health Survey, Hprolipsis. The sample was selected by multistage stratified random sampling. A standardized questionnaire was administered by trained interviewers during home visits. A knowledge score was constructed based on responses to 17 per infection selected items and categorized in three levels; high (12-17 correct replies) medium (6-11) and low (0-5). Among 8,341 eligible individuals, 6,006 were recruited (response rate:72%) and 5,878 adults (≥18 years) were included in the analysis. Results: Only 30.4%, 21.6%, and 29.6% of the participants had a high overall knowledge level of HBV, HCV and HIV, respectively. These low percentages were mainly attributed to the high levels of misconception about transmission modes (65.9%, 67.2%, and 67.9%, respectively). Results showed that increasing age and living out of the big metropolitan cities were associated with decreased odds of having higher knowledge. Female gender, higher education level, higher monthly family income, higher medical risk score, history of testing and being born in Greece or Cyprus, were associated with increased odds of having higher knowledge. Conclusions: There are significant knowledge gaps in the Greek general population regarding modes of transmission, preventive measures and treatment availability for HBV, HCV and HIV. There is an urgent need for large scale but also localized awareness activities targeted to less privileged populations, to fill the gaps in knowledge and increase population engagement in preventive measures.
Clinicopathological Characteristics of Extrahepatic Biliary Neuroendocrine Neoplasms in the Gallbladder, Extrahepatic Biliary Tract, and Ampulla of Vater: A Single-Center Cross-Sectional Study
Authors: Park Young Mok , Seo Hyung Il , Noh Byeong Gwan , Kim Suk , Hong Seung Baek , Lee Nam Kyung , Kim Dong Uk , Han Sung Yong , Lee So Jeong 
Published: January 2022

Abstract
BackgroundSignificant changes were made in the grading and staging systems for neuroendocrine neoplasms (NENs) in 2017. Therefore, a clinical report to comprehensively update the clinicopathological characteristics, therapeutic approaches, and prognosis of these patients should be drafted.MethodsWe retrospectively reviewed a database of 16 patients who developed NENs or mixed endocrine non-endocrine neoplasms (MiNENs) after curative resection. Among them, eight had ampulla of Vater (AoV) tumors, and eight had non-AoV tumors. One patient had NEN Grade 1, five had NEN Grade 2, and five had NEN Grade 3 (G3); all had poorly differentiated neuroendocrine carcinoma. Five patients had MiNEN or combined carcinoma.ResultsThe mean age was 57.88 years. The overall survival rates after curative surgery at 1, 3, and 5 years were 87.1, 80.4, and 71.4%, respectively. The 1-, 3-, and 5-year disease-free survival rates were 87.1%, 79.8%, and 71.8%, respectively. In univariate analysis, age >65 years, mitotic count (>20/10 high-power fields), Ki-67 index >20%, and presence of stones were significant prognosticators, whereas only the mitotic count was statistically significant in the multivariate analysis. Age >65 years (p=0.039), a Ki-67 index >20% (p=0.03), presence of stones (p=0.021), G3 stage disease, MiNEN (p=0.002), or perineural invasion (p<0.001) were more frequently observed in the non-AoV group than in the AoV group.ConclusionHigh mitosis count had a greater effect on extrahepatic biliary NEN than the tumor-node-metastasis staging system. Patients with AoV tumors had better prognostic predictor factors compared to those with non-AoV tumors.
Analytically-Supported Hybrid Photonic-Plasmonic Crystal Design Using Artificial Neural Networks
Authors: Peralta-Ángeles Jorge-Alberto , Reyes-Esq Jorge-Alejandro 
Published: January 2022

Abstract
An analytical and numerical study of hybrid photonic-plasmonic crystals is presented. The proposed theoretical model describes a system composed of a dielectric photonic crystal on a metallic thin film. To show the validity and usefulness of the model, four particular structures are analyzed, a one-dimensional crystal and three lattices of two-dimensional crystals. The model can calculate the photonic band structure of photonic-plasmonic crystals as a function of structural characteristics, showing two partial bandgaps for a square lattice, and complete bandgaps for triangular lattices. Furthermore, using a particular high-symmetry path, a full bandgap emerges in rectangular lattices, even with a small index of refraction contrast. Using the analytical model, a dataset is generated to train an artificial neural network to predict the center and width of the bandgap, that is, the forward design. In addition, an artificial neural network is trained to tune the optical response, that is, to perform the inverse design. The analytical results are consistent with the physics of the system studied and are supported by numerical simulations. Moreover, the prediction accuracy of the artificial neural networks is better than 95%. Overall, this paper reports a useful tool for tuning the optical properties of hybrid photonic-plasmonic crystals with potential applications in waveguides, nanocavities, mirrors, etc.
Biofilm Accumulation and Sucrose Rinse Modulate the Calcium and Fluoride Bioavailability in the Saliva of Children with Early Childhood Caries
Authors: Crescente Camila Lopes , de Sousa Emerson Tavares , Lima-Holanda Aline Tavares , Steiner-Oliveira Carolina , Nobre-dos-Santos Marinês 
Published: January 2022

Abstract
This quasi-experimental study aimed at investigating the combined effect of biofilm accumulation and 20% sucrose rinse on the modulation of calcium (Ca2+), phosphate (Pi), and fluoride (F-) bioavailability in saliva of children with early childhood caries (ECC). In-that, fifty-six preschoolers of both genders were evaluated according to caries experience and activity: caries-free (CF, n=28) and with ECC (n=28) and then, submitted to biofilm intervention (biofilm accumulation or no biofilm accumulation). In each situation, saliva samples were collected before and five minutes after a 20% sucrose rinse to determine the concentrations of Ca2+, Pi, and F−. Calcium concentration was significantly lower in the biofilm accumulation situation compared to the situation of biofilm mechanical control, except for children CF after sucrose rinse. Biofilm accumulation increased salivary calcium concentration in children with ECC after sucrose rinse, whereas mechanical biofilm control reduced it in both groups. The phosphate concentration was influenced by mechanical control of the biofilm in CF children. The fluoride bioavailability was reduced by sucrose rinse and biofilm accumulation in CF and ECC children. In conclusion, the combined effect of biofilm accumulation and sucrose rinse modifies the bioavailability of calcium and fluoride in the saliva of children with early childhood caries.
Targeting Tumor Associated Antigens For The Development of Hepatocellular Carcinoma Treatment.
Authors: Dutta Sthiti Porna , Alam Anis 
Published: January 2022

Abstract
DBN possess the ability to induce bladder tumor as well as in the liver, and oesophagus when it is administered in the body.Exposure to DBN can happen by different modes such as by ingestion,inhalation as well through dermal contact.In the present investigation an attempt has been done to identify ,isolate as well to purify he TAA from the liver mitochondria of the mice which was exposed to DBN. It was found that mitochondrial membrane surface protein of DBN-exposed animals exhibited differential expression when compared with the control animals. A low molecular weight (~14 kDa) protein was found to be over expressed on liver mitochondrial membrane upon DBN exposure in mice as compared with the normal control and identified as TAA, showing the sign that some of the proteins could be used as TAA for further study.These identification and molecular characterization of TAAs will provide the basis for the development of cancer vaccines targeting TAAs.