bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors for patients with acute hospital-acquired symptomatic pulmonary thromboembolism
Authors: Ye Lujuan , Xie Hailiang , Lai Minggui , Zheng Guofu , Xie Yuancai , Liu Xiaochun 
Published: January 2023

Abstract
This study aimed to identify independent risk factors for acute hospital-acquired symptomatic pulmonary embolism (HA-SPE) by comparing the clinical data of HA-SPE and acute nonhospital-acquired symptomatic pulmonary embolism (NHA-SPE). A total of 292 patients were included in the analysis and divided into two groups: 191 patients had acute NHA-SPE, and 101 patients had acute HA-SPE. The average age of these 292 patients was 63.2 years, and the sample included 145 males. The K-M curve showed that the hazard ratio (HR) of the HA group to the NHA group in all-cause mortality was 3.807 (95% CI, [1.987,7.295], P = 0.0061). Multivariate analysis showed that malignant tumour (OR, 3.811; 95% CI [1.914-7.586], P=.000), recent surgery (OR, 7.310; 95% CI 3.392-15.755], P=.000), previous VTE (OR, 5.973; 95% CI 2.194 16.262], P =. 000), and the length of stay (LOS) (OR, 1.075; 95% CI [1.040-1.111], P=.000) were independent risk factors for acute HA-AEP (Table 2). The c-statistic for this model was 0.758 (95% CI, [0.698-0.800], P<.0001). Strengthening the prevention and control of patients with these risk factors may reduce the incidence of acute HA-SPE.
Optimized simplified constitutive models with an atlas-based finite element analysis can be utilized to predict personalized progression of knee osteoarthritis: Data from the Osteoarthritis Initiative
Authors: Mononen Mika E. , Carvajal Alexander Paz , Liukkonen Mimmi K. , Turunen Mikael J. 
Published: January 2023

Abstract
New technologies are required to support a radical shift towards preventive healthcare. Here we focus on evaluating the possibility of finite element (FE) analysis-aided prevention of knee osteoarthritis (OA), a disease that affects 100 million citizens in the US and EU and this number is estimated to increase drastically. Current clinical methods to diagnose or predict joint health status relies on symptoms and tissue failures obtained from clinical imaging. In a joint with no detectable injuries, the diagnosis of the future health of the knee can be assumed to be very subjective. Quantitative approaches are therefore needed to assess the personalized risk for the onset and development of knee OA. FE analysis utilizing an atlas-based modeling approach has shown a preliminary capability for simulating subject-specific cartilage mechanical responses. However, it has been verified with a very limited subject number. Thus, the aim of this study is to verify the real capability of the atlas-based approach to simulate cartilage degeneration utilizing different material descriptions for cartilage. A fibril reinforced poroviscoelastic (FRPVE) material formulation was considered as state-of-the-art material behavior and simulated mechanical tissue responses and predicted cartilage degenerations within knee joint were compared against to simpler constitutive models for cartilage. The capability of the atlas-based modeling to offer a feasible approach with quantitative evaluation for the risk for the OA development (healthy vs osteoarthritic knee, p < 0.01, AUC ~ 0.7) was verified with 214 knees. Furthermore, the results suggest that accuracy for simulation of cartilage degeneration with simpler material models is similar to models using FPRVE materials if the material parameters are chosen properly.
Identification and validation of the first EST-SSR markers based on transcriptome of Anopheles darlingi, the primary transmitter of malaria in Brazil
Authors: de Souza Alex Tomaz , Batista Jacqueline da Silva , Guimarães-Marques Giselle Moura , Rafael Míriam Silva 
Published: January 2023

Abstract
Background Anopheles darlingi is a monotypic species in terms of its morphological, genetic, and behavioral aspects and is the primary transmitter of human malaria (99%) in Brazil, especially in the Brazilian Amazon. In this pioneering study, 15 expressed sequence tag (EST)-simple sequence repeat (SSR) markers were obtained and characterized in samples from the municipality of São Gabriel da Cachoeira, Amazonas state, Brazil, with polymorphisms that can be used for further genetic research.
Methods and Results The specimens (from egg to larval stage) collected were bred in the insectary at INPA (National Institute for Amazonian Research). The SSR repeats within the contigs of the A. darlingi EST banks were confirmed on the Vector Base site. DNA was extracted and amplified using polymerase chain reaction and then genotyped. Fifteen polymorphic SSR loci were identified and characterized. The number of alleles totaled 76, and ranged from 2 to 9. The observed heterozygosity varied between 0.026 and 0.769, the expected heterozygosity between 0.025 and 0.776, and the mean polymorphism information content was 0.468. Eight loci showed Hardy-Weinberg equilibrium (HWE) after Bonferroni correction (P: (5%) ≤ 0.0005). No linkage disequilibrium was found among the loci.
Conclusions The polymorphic SSRs of the loci have been shown to be efficient for investigation of the variability and genetic population structure of A. darlingi.
Emergence of teicoplanin-non-susceptible Staphylococcus epidermidis strains: a 6-year retrospective study
Authors: Kim Subin , Choi Jae-Phil , Oh Dong Hyun , Ahn Mi Young , Yang Eunmi 
Published: January 2023

Abstract
The use of glycopeptide antibiotics for the treatment of Staphylococcus epidermidis infections has recently increased owing to increased oxacillin resistance. This study aimed to characterize and evaluate the clinical significance of teicoplanin-resistant S. epidermidis isolated at our hospital over a 6-year period.
During the study period, 328 strains of S. epidermidis were isolated, of which 17 (5.2%) were teicoplanin-non-susceptible. All strains were vancomycin-susceptible, and 292 (89%) were oxacillin resistant. Analysis of vancomycin and teicoplanin prescriptions revealed an increase in annual teicoplanin prescription in 2020. Although there was a decrease in glycopeptide antibiotic usage in 2020 and 2021 owing to the COVID-19 pandemic, there was a rapid increase in the number of of teicoplanin-non-susceptible S.epidermidis strains isolated in 2021 (13; 32.5%). These data suggest that extensive teicoplanin use may have induced S.epidermidis antibiotic resistance in the hospital setting through selective pressure.
The incidence of S.epidermidis teicoplanin resistance has rapidly increased at our hospital due to increased teicoplanin use. The emergence of teicoplanin-non-susceptible S.epidermidisreduces available antibiotic options and increases the risk of treatment failure. The cause of the emergence of teicoplanin-non-susceptible S.epidermidis strains needs to be further analyzed and countermeasures need to be developed against this resistance.
Thrips composition in cotton agroecosystem: a single species or a species complex?
Authors: Rao Naveen , Gaur Ram Karan , Singh Satnam , Rachana R.R. , Kumar Rishi , Pandher Suneet , Kaur Ramandeep , Yadav Sunita , Udikeri Shashikant S , Srini A J 
Published: January 2023

Abstract
Thrips have emerged as a major sucking pest of cotton, limiting crop productivity through direct feeding and virus transmission. Cotton thrips have been long presumed to be a single species, with all the studies from northern India reporting it as Thrips tabaci. Even the majority of work from southern and central India reports it as the sole species, T. tabaci in their studies conducted on pesticide efficacy, population dynamics, host plant resistance, and others. The present study has attempted to decode the thrips species composition in cotton collected from 22 locations representing the north-western, central, and southern zones of India using both morphological and molecular tools. The studies report the prevalence of a thrips species complex in cotton, which is dominated by Thrips palmi with the coexistence of other thrips species, viz., T. tabaci, Scirtothrips sp., and Frankliniella schultzei. Our studies also suggest the maiden report of Chaetanaphothrips orchidii and Asprothrips bimaculatus thrips species in cotton from India. The T. palmi genetic diversity analysis revealed the presence of cryptic species, and haplotyping showed the existence of 53 haplotypes globally, out of which two new haplotypes have been reported in the present study. The possible reasons for the change in cotton thrips composition from a single species to a complex over the years have also been analyzed using historical population dynamics data from the past 15 years, which indicates that the invasion of new species over the previous years might be responsible for the change in the population structure of thrips in cotton.
A CpG-based prediction model for the diagnosis of hepatocellular carcinoma patients
Authors: Luo Biyuan , Zhou Ning , Chen Zui , Liu Xianling 
Published: January 2023

Abstract
Objective: Hepatocellular carcinoma(HCC),the most prevalent form of liver cancer, owns high morbidity and mortality. Early diagnosis for HCC is critical for the treatment and prognosis. Early diagnosis plays an important role in the improvement of HCC prognosis.
Methods: All clinical characteristics of 233 participants from multicenter were collected, including 115 HCC patients, 103 patients with cirrhosis, and 15 samples from healthy individuals. We identified several indicators significantly associated with HCC morbidity through logistic analysis to develop the prediction model. Further analysis revealed the independent predictive capacity of the predictive model. A nomogram comprising the predictive model was established, and data on 133 patients was utilized for the development of the model and on 100 patients was utilized for the validation. Furthermore, dozens of patients with tumors smaller than 2cm were collected for additional validation. The receiver operating characteristic (ROC) curve analysis confirmed the good performance of the predictive model.
Results: As a result, we identified five indicators that were significantly associated with HCC morbidity through univariate analysis and multivariate analysis. The predictive model was consist of age, drinking status and blood indicators, including AFP(alpha-fetoprotein),HBV(hepatitis B virus)infection status and a differential methylation CpG site. All the factors above were incorporated into the nomogramand the application of the nomogram gave good discrimination and good calibration. Calibration curves showed a favorable consistency between the predicted probabilities. ROC curve analysis showed that the nomogram had good discrimination, with AUC of 0.852 and 0.857 in the training group and validation group, respectively. Moreover, decision curve analysis has been implemented to evaluate and compare prediction nomogram.
Conclusion: The study provides a novel model for early diagnosis HCC, better than traditional screening and diagnostic indicators.
Suppressing infiltration and coffee-ring effects of colorimetric reagents on paper for trace-level detection of Ni (II)
Authors: Chen Yiyu , Nilghazd Azadeh , Liu Ruitong , Liu Shan , Li Lizi , Kong Yuling , Wan Xiaofang , Tian Junfei 
Published: January 2023

Abstract
PVA matrix was induced to suppress infiltration and coffee-ring effects during the colorimetric analysis on a paper substrate and was applied to improve the trace-level detection of nickel ions (Ni2+) in environmental samples. To improve the color response, cross-linked PVA matrix was used to anchor the indicator reagent of Ni2+ on the surface of the porous paper substrate as well as reduce evaporation flow with increasing hydrogen bonding in the sample droplet. These phenomena mitigated the loss of color signal by suppression of the infiltration and coffee-ring effects. Under an optimized condition — in terms of crosslinker's concentration and addition order, type of commercial filter paper, and loading volume of the PVA/indicator mixture — the sensor obtained a limit of detection (LOD) as low as 0.92 ppm and a notable linear behavior of R2>0.97 at a linear range of 0.5-50 ppm which is sufficient for the detection of legal maximum residue limit (MRL) of Ni2+ in wastewaters in China. The PVA-assisted sensor showed good selectivity to most metal ions and could normally work at different pH levels ranging from 3 to 9. The sensor also possessed highly sensitive and stable performance at a normalized level in repetitive measurements and a shelf-life of more than 3 months. These results suggest that our work can provide a facile approach to boost the sensitivity and reliability of paper-based sensor to monitor Ni2+ concentration at trace level in aqueous samples with good selectivity and prolonged shelf-life.
A practical two-step procedure for taking into account all available information (prior and current) about influence quantities in measurement uncertainty analysis
Authors: Huang Hening 
Published: January 2023

Abstract
This paper considers the problem of computing the combined standard uncertainty of an indirect measurement, in which the measurand is related to multiple influence quantities through a measurement model. In practice, there may be prior information or current information, or both, about the influence quantities. We propose a practical two-step procedure for taking into account all available information (prior and current) about influence quantities in measurement uncertainty analysis. The first step is to combine prior and current information to form the merged information for each influence quantity based on the weighted average method or the law of combination of distributions. The second step deals with the propagation of the merged information to calculate the combined standard uncertainty using the law of propagation of uncertainty (LPU) or the principle of propagation of distributions. The proposed two-step procedure is based entirely on frequentist statistics. A case study on the calibration of a test weight (mass calibration) is presented to demonstrate the effectiveness of the proposed two-step procedure and compare it with a subjective Bayesian approach.
Hazards are the key drivers of uncertainties surrounding riverine flood risks
Authors: Hosseini-Shakib Iman , Alipour Atieh , Lee Benjamin Seiyon , Srikrish Vivek , Nicholas Robert , Keller Klaus , Sharma Sanjib 
Published: January 2023

Abstract
Flooding drives considerable risks. Designing strategies to manage these risks is complicated by the often-large uncertainty surrounding flood risk projections. Uncertainty surrounding riverine flood risks can stem, for example, from choices regarding boundary conditions, model structures, and parameters as well as interactions among hazards, exposures, and vulnerabilities. A quantitative understanding of which factors drive uncertainties surrounding flood hazards and risks can inform the design of mission-oriented research. Here we analyze a case study to (i) characterize key uncertainties impacting flood risk projections and (ii) characterize the most important drivers of the uncertainties surrounding riverine flood hazards and risks. We find that the projected flood risk is most sensitive to factors associated with flood hazards: upstream discharge, riverbed elevation, channel roughness, and the digital elevation model resolution. Our framework and results can help to improve flood-hazard and risk projections.
Geodiversity and Biodiversity to Delimit Natural Protected Areas. Examples From the Jaén Province (Southern Spain)
Authors: Nieto LUIS M. , Fernández TOMÁS , Leiva-Lozano Juan-Enrique 
Published: January 2023

Abstract
Geodiversity and biodiversity have been assessed in an area of the Jaén province (Southern Spain). The first one from the consideration of partial indexes based on lithology, geomorphology, pedology, hydrology, paleontology, mineralogy and geosites. Biodiversity, considering a biodiversity index and endangered species index. This area shows the contact between the Guadalquivir Basin and the Betic External Zones. In addition, several natural protected areas have been defined, among which the Cazorla, Segura and Las Villas Natural Park (where mainly Prebetic materials outcrop) and the Sierra Mágina Natural Park (made up of Subbetic materials) stand out. The high and very high values of geodiversity have been located in an area where mainly Subbetic materials outcrop, including the Sierra Mágina Natural Park, and which coincides to a large extent with the front of the Betic External Zones and its contact with the Guadalquivir Basin. However, the Cazorla, Segura and Las Villas Natural Park is outside this area of high or very high geodiversity. Both natural parks fit well in areas where biodiversity and threatened species are important. These differences between the geodiversity values and the boundaries of these natural areas allows suggesting that, for delimitation of any natural protected area, its boundaries should be defined based on knowledge of the geodiversity and biodiversity of the region where the natural area is located.
Characteristics of nutrients accumulation in the bottom sediment of the surface-flow constructed wetlands of Mata lake during its operational maturity，China
Authors: Duan Zhenhao , Xing Liqi , Niu Xiaoyin , Li Menghong , Ma Yanfei , Gao Peiling , Teng Haowei 
Published: January 2023

Abstract
As a nutrients reservoir of surface-flow constructed wetlands (SFCWs), the substrate plays an important role in water purification, and it is significant to investigate the accumulation and release characteristics of nutrients to maximize the efficiency of constructed wetlands (CWs) for wastewater purification. In this study, we analyzed the total nitrogen (TN), total phosphorus (TP) and organic matter (OM) in the bottom sediment and conducted static release experiments on column core samples in order to evaluate the accumulation characteristics of nutrients and the current status of the ecological water environment in the SFCWs of Mata Lake, which has been in operation for 6 years. Results showed that: (1) The average contents of TN, TP and OM were 2.30 ± 0.006 g/kg, 0.26 ± 0.0006 g/kg and 10.49 ± 0.04 g/kg, respectively. There were differences in the spatial distribution of nutrients based on ArcGIS spatial interpolation simulation analysis. (2) The organic index (Org-index) in the sediment was evaluated as lightly polluted and the TP was evaluated as clean, but the organic nitrogen (Org-N) index was evaluated as heavily polluted. (3) The release amount of nutrients in the static release experiment showed a general trend of ascending and then descending, and the maximum release rate was observed between 9 and 12 days.
The Role of Heuristics and Biases in Complex Choices
Authors: Gurney Nikolos , Miller John , Pynadath David 
Published: January 2023

Abstract
Many choices are complex. These choices entail consideration of multiple variables characterized by non-linear interactions. Prior research into the complex choice process of people neglects two categories of major choice determinants: heuristics and biases. This research takes on the challenge of integrating such behavior determinants into the study of complex choices. We do so using a new experimental paradigm in which participants tune on-screen dials that represent choice variables. Through their tuning efforts, participants can discover information about the choice space. Specifically, this new paradigm allows us to document how anchoring and framing effects impact the complex choice process. We find that loss framing incites participants to expend more effort examining choice variables before selecting an option. An aspirational anchor, on the other hand, was correlated with decreased search effort by participants. Interestingly, the two did not share an interaction. Additionally, when participants did not have an aspirational anchor, the data suggest they relied on prior experience for an anchor value.
Etiological Diagnosis of Infectious Coxitis Depending on the Patient's HIV Status
Authors: Gerasimov I. A. , Peretsmanas E. O. , Tyulkova T. E. , Panova A. E. , Zubikov V. S. , Beresnev O. V. 
Published: January 2023

The objective: to develop the procedure for etiological diagnosis of infectious coxitis (IC) depending on the patient's HIV status.Subjects and Methods. The data of medical records of 97 patients with signs of IC were analyzed. Patients were divided into group depending on their HIV status.Results. The time required to diagnose IC was identified, and it made 7.35 ± 1.30 months for HIV-positive patients, and 6.25 ± 0.90 months for HIV negative patients (p > 0.05). The procedure was developed to be implemented when a patient complained of pain in the hip joint. Patients with HIV infection and suspected IC should undergo computed tomography (CT) of the hip joints, and HIV-negative patients should have CT done if the hip joint X-ray is not informative. The use of CT in the HIV+ Group reduced the diagnostic time from 9.4 ± 1.3 to 5.3 ± 1.3 months (p = 0.680), in the HIV- Group – from 8.7 ± 1.2 to 3.8 ± 0.6 months (p = 0.02). The reason why diagnosis took that long was the rare use of invasive methods at the outpatient stage. Thus, puncture of the hip joint was performed in the HIV+ Group in 2.7% of cases, in the HIV- Group – in 10%. Trepanobiopsy performed in a hospital made it possible to establish the etiology of IC in all patients. The diagnostic efficacy of microbiological tests in case of tuberculous coxitis made 48.64% in the HIV+ Group and 30.0% in the HIV- Group, in case of nonspecific coxitis it was 32.43% and 30.0%, respectively.
Spatio-temporal variability of glacier surface area, ELA, and AAR in the Mago river basin of Arunachal Pradesh
Authors: Nunchhani V. , Mekro V. , Bandyopadhyay A. , Bhadra A. 
Published: January 2023

Abstract
The spatial and temporal variations of glacier surface area, annual equilibrium line altitude (ELA), and accumulation area ratio (AAR) in Mago basin, Eastern Himalaya, are studied over 1988–2019 using Landsat data. The glacier surface area was mapped using automatic glacier extraction index (AGEI) and 49 glaciers named as G1–G49 were found in 2019. Fifteen glaciers with area greater than 1 km2 in 2019 were selected for analysis. An automatic GIS tool comprising area altitude balance ratio (AABR), AAR, and mean glacier elevation (MGE), and combination of NIR band and Otsu threshold, were used for determining ELA. All glaciers experienced area shrinkage with a total loss of 15.22 km2 (28.48%) at 0.49 km2 (0.92%) per annum. G1, G9, G15, G35, G41, and G42 showed significant decreasing trend in area. Glaciers facing South-West showed highest deglaciation. For the annual ELA, all glaciers showed increasing trend and significant increasing trend was observed in G2, G15, and G40. Overall, there was an increase in ELA by 137.3 m at 4.43 m/year. The average AAR varied from 0.44 to 0.97. Average AAR of about 0.8 was observed in South, South-East, and North facing, about 0.6 in South-West and West facing, and about 0.7 in East facing glaciers.