bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macular Thickness, a New Variable to Take Into Account in Intraocular Lens Calculation?
Authors: Sánchez-Liñán Noelia , Pérez-Rueda Antonio , Alaskar Hazem , CASTRO-LUNA GRACIA 
Published: July 2022

Abstract
Purpose
Evaluate the influence of a posterior pole variable, macular thickness, in the calculation of the intraocular lens to be implanted in cataract patients since optical biometry has been used. Therefore, the aim of this work is to determine the importance of different biometric, topographic and retinal variables in the calculation of the intraocular lens to be implanted and to propose a new biometric formula that includes these new variables.
Methods
A retrospective cross-sectional observational study was carried out using a database of 230 patients who underwent cataract surgery at the Oftalvist centre in Almeria between January 2021-December 2021. Correlations between implanted IOL power and biometric, topography and retina variables were explored. A linear model was proposed with IOL power as dependent variable. The method was forward-backward steps.
Results
The model achieves an adjusted R-squared of 0.96 indicating that the power of the implanted lens is 96% dependent on the value of the axial length, the mean of the preoperative Ks (the mean has been performed because of the excessive collinearity between the two Ks) and the preoperative macular thickness. The introduction of the preoperative macular thickness improves the R-squared of the model and is significant in the calculation of the coefficients.
Conclusions
Macular thickness is a variable to take into account as it improves our prediction model of the IOL to be implanted.
Keywords: Biometry, macular thickness, cataract surgery, intraocular lens power, calculation formula, precision, refractive accuracy.
Development of Duplex Droplet Digital PCR for Rapid Detection of Blood Stream Infections Caused by S. aureus, E. coli, S. pneumoniae and P. aeruginosa
Authors: Badran Samir , Andersen Rikke Fredslund , Chen Ming , Møller Jens Kjølseth , Mogensen Christian Backer , Coia John Eugenio 
Published: July 2022

Abstract
Purpose: The aim of this study was to develop highly specific primer-probes pairs for the detection of species-specific genes, and establish a multiplex ddPCR assay for the detection of low copies of genomic DNA, of common bacteria causing bloodstream infections in our institution, i.e. Staphylococcus aureus, Streptococcus pneumonia, Escherichia coli, and Pseudomonas aerugnosa..Methods: Pubmed and GenBank databases were used to select well-characterized candidate genes for each microorganism. The newly designed primer-probe pairs were designed using AllelID 7.85 software. The designed primer-probe pairs were tested and validated using Droplet Digital PCR QX200 by using quantitative ATCC genomic DNA from S. aureus (ATCC® 29213DQ™), S. pneumoniae (ATCC® 700669DQ™), E. coli (ATCC® 25922DQ™), and P. aeruginosa (ATCC® 27853DQ™).Results: All primer-probe pairs demonstrated an optimal annealing temperature at 56°C. The ddPCR detected 162 copies for S. aureus and 152 copies S. pneumonia in singleplex reactions as compared to 152 copies and 132 copies in duplex reactions, respectively, and 324 copies for P. aeruginosa, 30 copies for E. coli in singleplex reactions as compared to 356 copies and 34 copies, respectively, in duplex reactions. The results of the limit of detection of the ddPCR assay was as low as 1 copy/reaction for S. aureus, E. coli, and P. aeruginosa and 2 copies/reaction for S. pneumonia. Conclusion: In this study, we have designed highly specific PP pairs for use in a ddPCR assay for the accurate and reliable detection and quantification of species-specific genes for four common blood culture pathogens in our institution.
First pseudovirus-based assay to measure virus-elicited neutralizing antibodies in Mexico: proof-of-concept with SARS-CoV-2
Authors: Cruz-Cardenas José Antonio , Gutierrez-Mayret Michelle Gutierrez-Mayret , López-Arredondo Alejandra , Castañeda-Delgado Julio Enrique , Rojas-Martinez Augusto , Nakamura Yukio , Enciso-Moreno José Antonio , Palomares-Aguilera Laura , Brunck Marion E. G. 
Published: July 2022

Abstract
The gold-standard method to evaluate a functional antiviral immune response is to titer neutralizing antibodies (NAbs) against a viral pathogen. This is historically performed using an in vitro assay of virus-mediated infection, which requires BSL-3 facilities. As these are insufficient in Latin America, including Mexico, scant information is obtained locally about viral pathogens NAb, using a functional assay. An alternative solution is to use a BSL-2-safe assay with non-replicative viral particles engineered to display a selected pathogen’s entry protein on their surface, that deliver a reporter gene into target cells upon entry protein-mediated transduction. Here we comprehensively describe the first development of a BSL-2 safe NAb-measuring functional assay in Mexico, based on the production of pseudotyped lentiviral particles. As proof-of-concept, the assay is based on Nanoluc-mediated luminescence measurements from target cells transduced with SARS-CoV-2 Spike-pseudotyped lentiviral particles. We applied the optimized assay in a BSL-2 facility to measure SARS-CoV-2 Spike NAbs in 65 serum samples, which evidenced the assay with 100% sensitivity, 86.6% specificity and 96% accuracy. Overall, this is the first report of a BSL-2 safe pseudovirus-based functional assay developed in Mexico to measure NAbs, and a cornerstone methodology necessary to measure NAbs with a functional assay in limited resources settings.
Development of a Vision-Image-Based Quality Prediction Neural-Network Algorithm for an Injection Molding Machine Considering Cavity Sensor and Vibration Data
Authors: Kim Jun , Lee Ju Yeon 
Published: July 2022

Abstract
This research develops a neural-network-based algorithm for predicting the quality levels of injection molding products to handle quality regarding problems caused by occurrences of low-quality products. With an assumption that vibration data and temperature and pressure data of the cavities in mold generated from the injection molding machine would be different according to the products’ quality, main objective of this research is to predict the quality grade for each product utilizing the vibration data of the machine and temperature and pressure data of each cavity collected during a product is processed. Among diverse features that can represent quality of injection molding products, we especially focus on the features that could be driven from vision images of the products. We firstly explain how the infrastructure is constructed for collecting the vibration data, cavity sensor data, and vision-image data. Then, for the vibration and cavity sensor data, statistical features that stand for specific patterns of each data utilized as independent variables are derived. Quality grades of each product are also distinguished by two indicators: flection of the product’s housing and alignment of pinholes derived from the vision images of products utilizing the Canny-Edge algorithm. Finally, utilizing statistical features of the vibration and cavity sensor data as independent variables and distinguished quality grades of each product as dependent variables, a neural-network-based quality prediction algorithm is developed, and the performance of the algorithm is evaluated.
Predictive value of D-dimer in patients with unexplained recurrent implantation failure during freeze-thaw embryo transfer cycles
Authors: Li Xin , Zeng Cheng , Wu Peili , Shang Jing , Xue Qing 
Published: July 2022

Abstract
Background: This study aimed to evaluate whether D-dimer can predict the clinical outcomes of patients with unexplained recurrent implantation failure (URIF) during freeze-thaw embryo transfer (FET) cycles.Methods: Our study was divided into two parts. The first part was a retrospective study that included 433 patients. Plasma D-dimer levels were monitored in all patients before FET, and the patients were classified into two groups according to whether they delivered at least one live infant or not. D-dimer was compared between groups, and receiver operating characteristic (ROC) curves were constructed to analyze the impact of D-dimer on live birth. The second part was a prospective study that included 113 patients who were categorized into high and low D-dimer groups based on the ROC curve analysis from the retrospective study. Clinical outcomes were compared between these two groups.Results: In the first part, we found that plasma D-dimer levels in patients with live birth were significantly lower than those in patients without live birth. According to the ROC curve, 0.22 mg/L was the cutoff value for D-dimer in the prediction of the live birth rate (LBR) (AUC 0.806, 95% CI: 0.763, 0.848). The second part of the study confirmed that clinical pregnancy rate (50.98% vs. 32.26%, P=0.044) and LBR (41.18% vs. 22.58%, P=0.033) of patients with D-dimer ≤0.22 mg/L were all significantly higher than those of patients with D-dimer>0.22 mg/L.Conclusions: Our study indicates that D-dimer >0.22 mg/L is a useful index for predicting URIF during FET cycles.
A novel scoring model (SII-MSKCC) to better predict the clinical outcomes of primary central nervous system lymphoma
Authors: Li Shengjie , Xia Zu-guang , Cao Jiazhen , Zhang Jinsen , Chen Bobin , Chen Tong , Zhang Xin , Zhu Wei , Li Danhui , Hua Wei , Mao Ying 
Published: July 2022

Abstract
Currently, risk stratification and prognosis stratification of primary central nervous system lymphoma (PCNSL) is predominantly based on the Memorial Sloan-Kettering Cancer Center (MSKCC) model, but the prognostic value is controversial. Recently, the systemic immune-inflammation index (SII) has been considered as an important prognostic factor in PCNSL. 174 newly diagnosed PCNSL patients treated with methotrexate-based combination immunochemotherapy were analyzed in two retrospective discovery cohorts (n=128) and one prospective validation cohort (n=46) to determine whether the SII-MSKCC model could better predict the clinical outcomes. Generalized additive model, Kaplan–Meier curve, and Cox analysis were performed. The scores of SII-MSKCC model were: 890>SII>450, score=0; SII＜450, score=1; SII>890, score=2; Age≦50, score=0; age >50 + KPS≧70, score=1; age >50 + KPS≦70, score=2. Here, we report the results of discovery cohort that SII-MSKCC model provided higher prognostic performance compared with the MSKCC model. We further validate the prognosis value of the SII-MSKCC model with an external dataset from an independent prospective cohort, which confirmed its robustness. In multivariable analysis, the SII-MSKCC model remained significantly independently associated with clinical outcomes. Thus, SII-MSKCC model could be used across centers to better predict prognosis in PCNSL.
Neopestalotiopsis australis Causing Scab Disease on Byrsonima crassifolia in Mexico.
Authors: Moreno-Velázquez Magnolia , Hernández-Pablo Sergio , QUEZADA-SALINAS ANDRES , Alvarado-Rosales Dionicio , Rodríguez-Mendoza Johan , Tovar-Pedraza Juan Manuel , Márquez-Licona Guillermo , Saavedra-Romero Luz de Lourdes 
Published: July 2022

Abstract
Nanche (Byrsonima crassifolia) has great economic importance in the dry and humid tropics in Mexico, where is used for the elaboration of different drinks, foods, and candies; also in the traditional medicine to treat fever and stomach disorders. Since 2021, a high incidence of disease-causing scabby fruit in young nanche fruits has been detected in Las Choapas, Veracruz, Mexico. Disease symptoms were visible on the skin of fruits which progressed as fruits matured. Therefore, the objectives of this study were to identify the causal agent of this scab disease based on morphology and molecular techniques and to determine their pathogenicity. Fifteen isolates were recovered from diseased fruits. Because the isolates presented similar morphology, two of them were selected to determine their identity and pathogenicity. On the basis of colony characteristics, conidial morphology, and phylogenetic analyses of the internal transcribed spacers, partial translation elongation factor 1-α gene, and partial β-tubulin gene sequence the isolates were identified as Neopestalotiopsis australis. Koch's postulates demonstrated the pathogenicity of N. australis on nanche. This is the first report implicating N. australis as a causal agent of Scab Disease on B. crassifolia in Mexico and in the world.
Analyzing long-term trends in groundwater levels over the contiguous United States using observational data from 1990 to 2019
Authors: Lee Sangchul , Lee Byeongwon , Lee Jiwon 
Published: July 2022

Abstract
Long-term trends in groundwater levels over the contiguous United States (CONUS) have been investigated for water resource management. Numerical modeling or remotely sensed data are frequently utilized as analytical tools; however, observational data on the CONUS have rarely been used. This study explored observational groundwater levels at 642 wells across the CONUS from 1990 to 2019. Wells with less than 30% of missing data over 30 years were selected, and trends in their groundwater levels were assessed using a Seasonal Mann-Kendall’s test and Sen’s slope. Trends in three climatic variables (precipitation, maximum temperature, and minimum temperature) were simultaneously analyzed. The results showed that trends and the degree of change in groundwater levels varied spatially across the CONUS and were not correlated with those of the three climatic variables. The degree of change in the groundwater levels was small for the majority of wells (> 85%), with less than the absolute value of one Sen’s slope. Wells with more than the absolute value of one Sen’s slope showed declining trends in groundwater levels, emphasizing the need for groundwater protection. This study was limited in explaining the major drivers of groundwater fluctuations across the CONUS owing to the complexity of natural and anthropogenic drivers. Thus, it was concluded that multiple tools should be concurrently used to interpret groundwater dynamics across the CONUS to secure groundwater resources.
Assessment of trophic state in Lake Malombe, Malawi, using Sentinel-2 Multi-Spectral Instrument imagery
Authors: MAKWINJA `RODGERS , Inagakia Yoshihiko , Sagawa Tatsuyuki , Obubu John Peter , Habineza Elias , Haaziyu Wendy 
Published: July 2022

Abstract
Inland waters' eutrophication is considered a severe global ecological issue. It is associated with rapid phytoplankton and other microorganisms' production. The use of satellite remote sensing has been proposed to determine the primary productivity (PP) of inland waters through the chlorophyll-a (Chl-a) retrieval. However, applying this technique to African inland waters has not made significant progress. In this study, we developed techniques to assess inland waters' PP based on Sentinel-2 Multi-Spectral Instrument (MSI) imagery. The main objective was to conduct monthly trophic state assessments in Lake Malombe from March to October 2019. The field-based survey indicated a strong correlation with the Sentinel-2 MSI, suggesting the model's novelty in predicting PP. The validation results between the measured in situ Chl-a concentrations and the MSI-based Chl-a had a root mean square error and R squared of 2.88 and 0.54, indicating the capability of the NDCI in predicting PP in Lake Malombe. The scatter plot showed that almost all the points were in the 95% confidence interval, suggesting that the coefficients proposed in this paper could be used on NDCI images derived from any of the sensors to predict Lake Malombe PP accurately. The double-logistic function model was well fitted to capture the annual pattern of the variable. The derived end of the season (EOS), the start of the season (SOS), and amplitude were 98, 250, and 7.0, respectively. The EOS almost coincided with the end of a rainy season, identified from the time-series of precipitation data. The SOS did not align with the start of the rainy season; i.e., phytoplankton started to grow before precipitation, suggesting that precipitation probably did not influence phytoplankton growth. This study suggests that integrating remote sensing with in situ data can provide an understanding of ecological dynamics and offers better options for monitoring lake eutrophication.
Effect of relative humidity and absorbed water on the ethyl centralite consumption in nitrocellulose-based propellants
Authors: Teixeira Filipe Poletto , Anastacio Aline Cardoso , de Mendonça-Filho Letivan Gonçalves , Nichele Jakler 
Published: July 2022

Abstract
The influence of relative humidity on the degradation of a nitrocellulose-based propellant with ethyl centralite as stabilizer was investigated. For this kind of material, long term safe storage – maybe decades – is required and various relative humidity conditions can be found. The investigation of chemical integrity only based on accelerated ageing by heating is not sufficient to make secure predictions of the degradation in real conditions. The propellant was aged in different conditions of relative humidity and temperature in order to evaluate the influence of relative humidity on the stabilizer consumption and the consequent chemical integrity. The residual stabilizer was quantified by HPLC analyses. The degradation behavior at ambient temperature was predicted according to the linearized Arrhenius model. We observed a substantial difference in ethyl centralite consumption by comparing the values obtained for distinct humidity conditions. A possible explanation was proposed. Our results, allows one to propose an optimum range of relative humidity for long term storage.
Meta-transcriptome-based molecular characterization of a novel fijivirus detected in a Sogatella furcifera population from Myanmar
Authors: Wu Kuo , Chen Yongdui , Zhang Lizhen , Li Qiannan , Htwe Yin Zar Chi , Yin Yanqiong , Dong Jiahong 
Published: July 2022

Abstract
A novel fijivirus, tentatively named “Sogatella furcifera reovirus” (SFRV), was detected in a Sogatella furcifera population collected from Yangon in Myanmar. The SFRV genome comprises 10 dsRNA segments encoding 11 putative proteins. The 11 ORFs and their encoded proteins has 49.1%-71.0% nucleotide and 30.5%-76.3% amino acid sequence identities with reference fijiviruses. SFRV is closest to Nilaparvata lugens reovirus in the phylogenetic tree based on the RdRP. Fijivirus-specific motifs were identified in the SFRV genome. Thus, according to the described species demarcation criteria, SFRV belongs to a new virus in the genus Fijivirus, family Reoviridae.
Development and Validation of a Novel Prognostic Model for Glioma Based on Immune-Related Genes
Authors: Hu Jinpeng , Li Hao , Xu Jinkun , Chen Lian , Yang Chunjiao , Zhang Guoqing , zong Shengliang , Chen Junhua , Jing Zhitao 
Published: July 2022

Abstract
Background: Glioma is the most common primary tumor of the central nervous system with a poor survival rate. There has been evidence showing that the immune microenvironment influences glioma patient outcomes. Therefore, we established a novel immune-related gene prognosis model to explore the relationship between immunity and glioma prognosis.Methods: The immune scores of samples in the TCGA and CGGA databases were analyzed by ESTIMATE, and then immune-related central genes were identified by weighted gene co-expression network analysis (WGCNA). Seven immune-associated genes were selected to develop a risk signature based on regression with the least absolute shrinkage and selection operator (LASSO). Univariate and multivariate Cox regression analysis, time-dependent receiver operating characteristic (ROC) curve analysis, and Kaplan-Meier analysis were used to evaluate the model. Gene set enrichment analysis (GSEA) was performed to analyze the molecular characteristics. Immunological profiles were analyzed by CIBERSORT and xCell. The expression levels of COL1A2 in high and low gliomas were analyzed by RT-QPCR and Western blot techniques. MTS, EDU and TRANSWELL methods were used to detect the effects of COL1A2 on glioma cell viability, proliferative capacity, and invasive ability.Results: A valuable prognostic model of immune-related genes(IRGPM) was developed. IRGPM is an independent prognostic factor. Clinical characteristics, molecular function, tumor mutation burden, and immune profiles differed significantly between high- and low-risk groups. COL1A2 expression was higher in high-grade gliomas than in low-grade gliomas and promoted proliferation and invasion of glioma cells.Conclusions: IRGPM is a good independent prognostic factor that is closely associated with glioma progression.
Electrospun P3HT/PVDF-HFP Semiconductive Nanofibers for Triboelectric Nanogenerators
Authors: Lin Meng-Fang , Chang Kang-Wei , Lee Chia-Hsien , Wu Xin-Xain , Huang Yu-Ching 
Published: July 2022

Abstract
This paper describes a simple electrospinning approach for fabricating poly(3-hexylthiophene) (P3HT)/poly(vinylidene fluoride–co–hexafluoropropylene) (PVDF-HFP) semiconductive nanofiber mat triboelectric nanogenerators (TENGs). Measurements of the electrical properties of the P3HT/PVDF-HFP semiconductive nanofiber TENGs revealed that the output voltage could be enhanced up to 78 V with an output current of 7 μA. The output power of the device reached 0.55 mW, sufficient to power 500 red light-emitting diodes instantaneously, as well as a digital watch. The P3HT/PVDF-HFP semiconductive nanofiber TENG could be used not only as a self-powered device but also as a sensor for monitoring human action. Furthermore, it displayed good durability when subjected to 20,000 cycles of an external force test.
First report from India on identification and domestication of Morchella importuna strain ANI1
Authors: Kumar Anil , Sharma Ved P. , Kumar Satish 
Published: July 2022

Abstract
Morels are harvested from their natural habitats in India, putting their biodiversity at risk. Species of the genus Morchella were researched in the North-Western Himalaya, and attempts at artificial induction of ascomata (fruit body) were made. Fruit bodies belonging to the M. importuna strain ANI 1 was found in the forest area. Through tissue culture on Malt Extract Agar (MEA) media, ANI 1 was isolated into a pure culture from fresh ascomata. The hyphal tip approach was used to purify the culture. The strain was chosen to induce ascomata under laboratory and greenhouse conditions because of its ability for sclerotial formation and rapid growth on the culture medium. The procedure for preparing the substrate for Morchella mushroom growing was standardized. Wheat, gypsum, calcium carbonate, cotton seed cake, forest soil, saw dust, and coir pith were used to make spawn. Using the modified jar approach, 3 tiny ascomata of 0.5 to 1cm were developed during continuous in vitro trials on induction of ascoma (fruit bodies) of M. importuna strain ANI 1. Sclerotial-rich spawn was sown in soil beds during a greenhouse experiment. This trial began in October of 2019 and ended on the 13th of April, 2020, with a mature ascoma measuring 13cm in length under the green house. In the second and third greenhouse research trials in 2021 and 2022, 215 and 350 ascomata were successfully induced, respectively. The ascomata obtained with ladder-like pattern of pits and ridges on the surface of pileus. Based on morphological characteristics and molecular phylogenetic analyses of the nuc rDNA internal transcribed spacer region ITS1-5.8S-ITS2 (ITS), one new record species, M. importuna strain ANI1 (NCBI Acc. No. MW805426) which were only known in selected countries like United States, Canada China etc., is now reported for the first time from India.