bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hemostatic markers and polymorphisms in three Mexican families with Legg-Calvé-Perthes disease.
Authors: Rodríguez Armando , Hernández-Zamora Edgar , Casas-Ávila Leonora , Flores Margarita Valdés , Palacios Ruth Angelica Lezama , Maldonado Elba Reyes 
Published: July 2022

Abstract
Background: Legg-Calvé-Perthes Disease (LCPD) is a condition caused by avascular necrosis of the femoral head. Although its etiology is still not fully understood, evidence suggests heritable thrombotic and inflammatory disorders and other factors may be implicated in its onset and progress. Our objective is to describe, in the three enrolled families, the genetic, biochemical, and environmental factors that may be associated with the etiology and development of LCPD. Methods: We evaluated the following gene alterations: MTHFR, CBS, PT, FVL, FVIII, FIX, PAI-1, eNOS, IL-23R, and TNF-α, and their relationship with LCPD. Additionally, we assessed thrombophilia-associated markers (FI, FII, FV, FVII, FVIII, FIX, FX, FXI, FXII, FvW, PC, PS, AT, and homocysteine) using coagulometry methods. Results: Seven patients with LCPD and 14 healthy volunteers were enrolled. Concentrations in hemoglobin (p ≤ 0.05), fibrinogen (p ≤ 0.05), homocysteine (p =<0.05), FVIII (p≤0.05), and factor IX activity percentage (p ≤ 0.05) showed statistically significant differences. Our results show that all participants of this study present at least one mutated allele for the MTFHR (rs1801133) and IL-23R (rs1569922) polymorphisms, as well as isolated cases with other genetic variants.Conclusions: Our results show environmental elements from every family and hemostatic and inflammatory disorders may be involved in suffering and developing LCPD. Also, heritable factors could contribute to the onset of the disease. Environmental, genetic, inflammatory, and prothrombotic factors are involved in this pathology.
Urine flow acceleration in healthy children: A retrospective cohort study
Authors: Martonosi Ágnes Rita , Pázmány Piroska , Kiss Szabolcs , Földi Mária , Zsákai Annamária , Szabó László 
Published: July 2022

Abstract
PURPOSE: To establish normal reference values of urine flow acceleration (Qacc) in healthy children, as there is a lack of nomograms for normative reference values of Qacc by voided volumes in paediatric population so far. Qacc might be an early indicator of autonomic neuropathy in children and adolescents. METHODS: Data were retrospectively collected from healthy children who underwent uroflowmetry between 1990–­1992. Exclusion criteria were voided volume less than 20 mL, postvoid residual more than 15%, and signs of an overstretched bladder. Baseline characteristics and uroflowmetry parameters were collected from girls and boys based on their body surface measurements (<0.92 m2; 0.92–1.42 m2; and >1.42 m2). Voided volume, voiding time, time to maximum flow rate, maximum and average flow rates of urine were measured, Qacc was calculated. Postvoid bladder diameter was measured by ultrasonography and converted to volume. RESULTS: Uroflowmetry parameters of 208 children (≤18 years old, 45.2% girls, mean age 9.68 ± 3.09 years) who performed 404 micturition were analysed. Median voided volume was 130 [20–460] mL, median voiding time was 10 [3–56] sec, median time to Qmax was 3 [1–14] sec, median Qave was 11.7 [2.5–36.6] mL/sec, median Qmax was 20.5 [5–50] mL/sec, median Qacc was 6 [0.81–25] mL/sec2, and median postvoid residual volume was 1.83 [0–38.62] mL in the total population. Qacc nomograms were given in centile forms for girls and boys separately which show an inversely proportional correlation between voided volumes.CONCLUSION: These are the first nomograms for normative reference values of Qacc in paediatric population (girls and boys separately) by voided volumes in centile forms. These may be useful to interpret abnormal Qacc values, and diagnose lower urinary tract diseases over a wide range of voided volumes.
Unsaturated phospholipid modified FeOCl nanosheets for enhancing tumor ferroptosis
Authors: He Zi , Guo Yijun , Chen Jinzhu , Luo Huiling , Liu Xinxin , Zhang Xiuming , Sun Yanan , Ge Dongtao , Ye Shefang , Shi Wei 
Published: July 2022

Abstract
Iron-dependent accumulation of reactive oxygen species (ROS) and lipid peroxidation plays key roles in ferroptosis, which has been an attractive strategy to kill tumor cells. However, the rapid annihilation of hydroxyl radicals (•OH) produced by Fenton reaction has become a major obstacle to induce lipid peroxidation in cells. In this paper, we developed a nano delivery system of unsaturated phospholipid (Lip) and polyacrylic acid (PAA) functionalized FeOCl nanosheets (FeOCl@PAA-Lip). In this system, •OH produced by Fenton reaction between FeOCl nanosheets and endogenous H2O2 of tumor cells attacks Lip on the nanosheets in situ to initiate the lipid peroxidation chain reaction, which not only realizes free radical conversion but also achieves the amplification of ROS and lipid peroxides, thus enhancing tumor ferroptosis. The in vitro and in vivo results confirmed that FeOCl@PAA-Lip nanosheets exhibited specific tumor cell-killing effect, good biocompatibility, long circulation time, low side effects, high tumor targeting and excellent tumor inhibition rate (73%). The Lip functionalization strategy offers a paradigm of enhancing ferroptosis treatment by conversion of •OH/phospholipid radical/lipid peroxyl radical and strengthening lipid peroxidation.
Identification and dissipation of chlorpyrifos and its main metabolite 3,5,6-TCP during wheat growth by UPLC-QTOF/MS
Authors: Yu Lili , Li Jia , Tang Qian , Jiang Zejun , Chen Hui , Shan Tingting , Li Junhui 
Published: July 2022

Abstract
UPLC-QTOF/MS technology was used to study the degradation and metabolism of chlorpyrifos during wheat growth by spraying plants with different doses of chlorpyrifos 7 days after the flowering and filling stage. We analyzed and identified chlorpyrifos metabolites in different parts of wheat in full-scan MSE mode and established a chlorpyrifos metabolite screening library using UNIFI software. The results showed that the residues of chlorpyrifos in wheat ears, leaves and stems showed a decreasing trend with the prolongation of application time, and the degradation kinetics could be fitted by the first-order kinetic equation Ct = C0 e− kt. The initial residues of chlorpyrifos in different parts of the wheat were different, which was in the order leaf > wheat ear > stem. The degradation rate of chlorpyrifos under field conditions is relatively fast, and the half-life value is 2.33–5.05 days. Chlorpyrifos can undergo a nucleophilic addition substitution reaction under the action of hydrolase to generate the secondary metabolite 3,5,6-TCP (3,5,6-trichloro-2-pyridinol). The residual amount of 3,5,6-TCP in each part of wheat showed a trend of increasing first and then decreasing over time; it reached the maximum on the 3rd, 7th or 11th day after application, and then gradually degraded. Considering that 3,5,6-TCP is a biomarker with potential threats to humans and animals, it is recommended that 3,5,6-TCP be included in the relevant regulations for dietary exposure risk assessment.
Comparative transcriptome reveals unique pine wood decay strategies in the Sparassis latifolia
Authors: Yang Chi , Ma Lu , Xiao Donglai , Liu Xiaoyu , Jiang Xiaoling , Lin Yanquan 
Published: July 2022

Abstract
Sparassis latifolia is a valuable edible mushroom, growing on fresh pine wood sawdust substrate. However, the mechanistic bases are poorly understood. The gene expression profiles of S. latifolia were analyzed from submerged cultures with fresh pine wood sawdust substrate for different times (0 h, 1 h, 6 h, 1 d, 5 d, and 10 d, respectively). The total number of differentially expressed genes (DEGs) identified under pine sawdust inducing was 2,669. And 806, 628, 113, 114, and 94 DEGs were identified at the five time points, respectively. There were 34 genes in common at all inoculated time points, including FAD/NAD(P)-binding domain-containing protein, GMC oxidoreductase, Flavin-containing monooxygenase, and Taurine catabolism dioxygenase. Weighted gene co-expression analysis (WGCNA) were then used to compare the molecular characteristics among the groups and identified that the green module had the highest correlation with group T-6h. There were 48 DEGs out of 58 genes in the green model, including short-chain dehydrogenase, glycoside hydrolase family proteins, Lipase, dienelactone hydrolase, and alpha-L-arabinofuranosidase. Interestingly, lipases are an important group of biotechnological catalysts which catalyze the hydrolysis of Rosin, which is abundant raw material from pine trees. This maybe provides clues into mechanisms that S. latifolia can grow on fresh pine wood sawdust substrate.
A comparative study on the effect of rice husk ash,nano-SiO2, and nano-Al2O3 on the mechanicalproperties and durability of concrete: A case study of Caspian seawater curing condition
Authors: Arasteh-Khoshbin Omolbanin , Seyedpour Seyed Morteza , Ricken Tim 
Published: July 2022

Abstract
Various studies have been recently conducted aiming at developing more sustainable cementitious systems so that concrete structures may not have a negative effect on the environment and are decomposed. It has been attempted to build sustainable binders by substituting silica fume (SF), cement with fly ash (FA), nano-silica, nano-alumina, and rice husk ash (RHA). In the present work, a comparative investigation of the impact of nano-silica, rice husk ash, and nano-alumina on concrete incorporating single ordinary cement is conducted. The experimental program included mechanical properties as well as tests for density, workability, rapid chloride ion penetration, and water permeability under Caspian seawater curing conditions.
Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 Models
Authors: Li Xinyi , Li Zhong 
Published: July 2022

Abstract
Due to the considerable biases in general circulation models (GCMs) simulation, bias correction methods are required and widely applied to reduce the model biases for impact studies. This study evaluated the performance of two bias correction methods, quantile delta mapping (QDM) and scaled distribution mapping (SDM), for generating high-resolution daily maximum temperature (Tmax) and minimum temperature (Tmin) projections for Canada using the latest GCMs from the Coupled Model Intercomparison Project phase 6 (CMIP6). CMIP6 GCMs show overall consistency with observations before and after bias correction, with better performance on Tmax compared to Tmin. QDM shows better performance relative to observations while SDM shows superior skill in preserving the raw climate signals. QDM and SDM methods are effective in reducing the biases of Tmax and Tmin for all GCMs. Both methods show similar skills in reproducing monthly probability distribution and capturing seasonal spatial patterns over Canada. The study provides a comprehensive assessment of bias correction methods applications in individual CMIP6 GCMs for high-resolution daily temperature predictions for Canada, providing a reference significance for bias correction studies and technical support for further impact assessment and adaptation planning around the world.
Development and validation of a pyroptosis -related prognostic model for predicting the prognosis in Lung Adenocarcinoma
Authors: Zhu Haoshuai , Gan Yi , Liu Zhenguo 
Published: July 2022

Abstract
Background Pyroptosis is an inflammatory response associated with programmed death ，and its role has been reported in multiple studies of malignant tumors. However, research on pyroptosis-related genes in LUAD and their relationship with prognosis are still unclear. Therefore, in this study, we tried to establish an apoptosis-related prognostic model and evaluated its prognostic role in LUAD.Methods We collected data on LUAD patients in the TCGA database. Differentially expressed genes (DEGs) were recognized and paired by applying univariate Cox regression analysis. Based on DEGs, a prognostic risk score model was tried to constructed and validated based on TCGA and GEO database (GSE26939). By setting a median risk score, patients are divided into high- and low-risk groups. After implementing the machine learning screening methods. Model prediction ability, pathway enrichment analysis, Gene Set Enrichment Analysis, immune cell infiltrate, and drug susceptibility were analyzed in some aspects between two groups (high- or low-risk groups).Results A predictive model with six pyroptosis-related genes (NLRC4, NLRP1, NOD1, PRKACA, IL1Aand RELA) was constructed. Using this model, patient's risk score was assessed the, after verification, this risk score was an independent and sensitive predictive signature model. Analysis including Functional analyses, immune cell infiltrate, drug susceptibility showed promising clinical prediction value in LUAD. Conclusion: This prognostic model can accurately and effectively predict the prognosis of lung adenocarcinoma patients and the response to drug therapy.
Feeding preferences and the effect of temperature on feeding rates of the graceful kelp crab in the Salish Sea
Authors: Johnson Katrina H. , Dobkowski Katie A. , Seroy Sasha K. , Fox Shelby A. , Meenan Natalie R. 
Published: July 2022

Abstract
Graceful kelp crabs (Pugettia gracilis) are abundant consumers in shallow subtidal ecosystems of the Salish Sea. These dynamic habitats are currently experiencing multiple changes including invasion by non-native seaweeds and warming due to climate change. However, little is known about P. gracilis’ foraging ecology, therefore we investigated their feeding preferences between native and invasive food sources, as well as feeding rates at elevated temperatures to better assess their role in changing coastal food webs. To quantify crab feeding preferences, we collected P. gracilis from San Juan Island, WA and conducted no-choice and choice experiments with two food sources: the native kelp, Nereocystis luetkeana, and the invasive seaweed, Sargassum muticum. In no-choice experiments, P. gracilis ate equal amounts of N. luetkeana and S. muticum. However, in choice experiments, P. gracilis preferred N. luetkeana over S. muticum. To test effects of warming on these feeding rates, we exposed P. gracilis to ambient (11.5 ± 1.3°C) or elevated (19.5 ± 1.8°C) temperature treatments and measured consumption of the preferred food type, N. luetkeana. Crabs exposed to elevated temperatures ate significantly more than those in the ambient treatment. Our study demonstrates the diet flexibility of P. gracilis, suggesting they may be able to exploit increasing populations of invasive S. muticum in the Salish Sea. Warming ocean temperatures may also prompt P. gracilis to increase feeding, exacerbating harmful impacts on N. luetkeana, which is already vulnerable to warming and invasive competitors.
ML-SyPred – Machine Learning Synergy Predictor: A Tool to Predict Drug Combinations
Authors: Roche-Lima Abiel , Rosado-Quiñones Angélica M. , Figueroa-Gispert María Del Mar , Díaz-Rivera Jennifer , Díaz-González Roberto G. , Carrasquillo-Carrion Kelvin , Feliu-Maldonado Roberto A. , Fernández-Gochez Pedro , Nieves-Rodríguez Brenda G. , Colón-Lorenzo Emilee E. , Serrano Adelfa E. 
Published: July 2022

Abstract
Antimicrobial and antiviral resistances are worldwide public health threats, causing treatment failures and increasing morbidity and mortality. Mycobacterium tuberculosis and Plasmodium falciparum, among many others, are examples of multidrug-resistant pathogens requiring combinatorial drug therapy. The use of drug combinations acting in synergy represents an approach to enhance therapy and delay the development of drug resistance. Computational approaches can be used to develop predictive models assessing synergistic drug combinations to reduce the time and cost associated with standard experimental screening. Here, we describe the development of a computational tool (Machine Learning Synergy Predictor - ML-SyPred) that incorporates drug/compound features using machine learning algorithms to predict synergistic drug combinations. Using the ML-SyPred tool, we implemented a synergy predicting method, which includes several Python scriptings to clean and prepare the raw data and convert from the drug's biochemical structure composition to compound fingerprints to use as features. Five Machine Learning algorithms (i.e. Logistic Regression, Random Forest, Support Vector Machine, Ada Boost, and Gradient Boosting) were implemented to build prediction models. Two different biologically validated datasets consisting of 575 antibiotics and 1,054 antimalarials drug combinations were used to test the algorithms implemented. The best prediction models were obtained with the Random Forest algorithm for the antibiotic dataset (0.88 AUC), Logistic Regression for the antimalarial datasets strain Dd2 and HB3 (0.81 and 0.70 AUC, respectively), and Random Forest for the antimalarial datasets strain 3D7 (0.69 AUC). The ML-SyPred tool yielded 45% precision for synergistically predicted antimalarial drug combinations that are annotated and biologically validated, thus confirming the tool’s functionality and applicability. The ML-SyPred tool is available for free use and represents a promising strategy to discover potential drug combinations for further development in novel therapies.
Clinical features of Mayer–Rokitansky–Küster–Haüser syndrome diagnosed in childhood: Results from a nationwide survey in Japan
Authors: Yano Keisuke , Harumatsu Toshio , Sugita Koshiro , Muto Mitsuru , Kawano Takafumi , Ieiri Satoshi , Kubota Masayuki 
Published: July 2022

Abstract
Purpose: Mayer–Rokitansky–Küster–Häuser syndrome (MRKH) usually presents with primary amenorrhea after puberty. The present study clarified the clinical features of MRKH diagnosed in childhood.Methods: We conducted a nationwide survey to determine the status of MRKH in Japan. Twenty-one MRKH patients were enrolled, and the patient background and clinical features were analyzed. Results: The median age at the diagnosis was 2.6 [1.0-9.0] years. Three patients (14.3%) were diagnosed with type I MRKH, while 18 (85.7%) were diagnosed with type II. The associated anomalies included (some cases overlapped): anorectal malformation (ARM) (n=13, 72.2%), renal malformation (n=12, 66.7%), vertebral malformation (n=11, 61.1%), esophageal atresia (n=5, 27.8%), cardiac malformation (n=4, 22.2%). The comparison of patients with and without ARM revealed that patients with ARM were significantly younger than those without ARM at the time of the diagnosis (1.5 [0-12.3] years vs. 9.1 [0.5-16.0] years, p<0.05). Associated ARM was the most frequent reason for the diagnosis of MRKH (n=10, 47.6%). Conclusions: MRKH patients with some associated anomalies, especially ARM, were frequently diagnosed in preoperative imaging examinations or radical operation for ARM. Pediatric surgeons should pay close attention to female patients with ARM to prevent errors in the diagnosis of MRKH.
Polymorphisms in vitamin D receptor genes and its relation with susceptibility to brucellosis: A case-control study
Authors: Mahmoudi Hassan , Saidijam Massoud , Mohammadi Younes , Alikhani Mohammad Yousef 
Published: July 2022

Abstract
Objective: One of the systemic infections is Brucellosis which is caused by facultative intracellular bacteria of the genus Brucella. Vitamin D is a fat-soluble prohormone, that metabolizes enzymes and its intracellular receptor creates the active hormone and also mediate in responses of immune system. Methods: Current research consists of 102 patients with brucellosis who were selected based on culture, PCR results serology, and clinical symptoms. The control group composed of 102 healthy people. The polymorphism of genes (Bsm I, Fok I, Taq I, Apa I) encoding VDR were assessed by the PCR-RELP method.Results: The results showed that ff, tt, aa, and bb genotypes in Fok I, ApaI, TaqI, and BsmI were significant in case/control groups (P-value ≤ 0.0001). The genotype frequency AA in the control group is higher than that of the study group, while genotype frequency aa in the study group is more than the control. The odds ratio for brucellosis in individuals with ff genotype is 37 times higher than that of Ff genotype. Also, the odds ratio of brucellosis in individuals with genotype tt, aa, and bb was 12, 53, and 6 times higher than those of the Aa, Bb, and Tt genotypes.Conclusion: The genotypes aa and ff in the positions of the ApaI and FokI are of higher importance. The brucellosis risk in individuals accompanied aa genotype at Apa I is 53 times higher than that of the genotype AA, in other words, AA and BB, TT and FF genotypes are protective against the disease.
Successful Experiments in Blending Rubber(s) with Polyester Waste Fabric to Produce Products of Industrial and Domestic Use
Authors: Padhiyar Bhavesh , Wagh Shrikant J 
Published: July 2022

Abstract
Non-woven polyester fabric waste is available in huge quantities from industry which is difficult to reuse. It cannot be melted nor can it be dissolved in any solvent owing to its complex structure and cross-linking. Presently it is incinerated or burned in cement industry. But its burning creates hazardous pollutants. This study focuses on utilizing the strength and durability of the two raw materials involved to form a Polyester Rubber Composite (PRC) with improved stability and process ability. A detailed chemical and mechanical analysis of PRC has been done, which indicates compatibility of the two polymers and enhancement in the hardness of the rubber by around 20-45 units. The PRC has been subjected to compression molding to fabricate commercial products like Bush and gaskets, which exhibit significant enhancement in chemical, processing and physical properties. A brief economic analysis of PRC gasket and virgin butyl rubber gasket shows a reduced cost margin of approx. 7.00% in the processing cost of the former, validating the market potential of the product. The utilization of these industrial waste materials, whose current disposal practices pose a concern at environmental level, into serviceable products gives a route for sustainable recycling practices.
Vegetation species diversity and its influencing factors in mountain desert communities in northern Xinjiang China
Authors: FEI Cheng , DONG Yi Qiang , an ShaZhou 
Published: July 2022

Abstract
The desert covers 46.9% of the grassland in Xinjiang Uygur Autonomous Region of China (including Southern and Northern Xinjiang). In the present study, 527 plots (about 4,500 quadrats)were taken from the Junggar Desert of northern Xinjiang.The purposes of this paper are: (1) to study the composition and distribution characteristics of the main species in the Northern Xinjiang desert; (2) to estimate the diversity index of species α of different communities in different desert areas; (3) to determine the spatial distribution law of species diversity of communities in the Northern Xinjiang desert by ArcGIS 10. 1 to provide a decision-making basis for the protection and planning of plant species in the Northern Xinjiang desert.The results of this study show that: (1) the overall diversity index of plant communities is not high; the average Shannon-Wiener’s diversity index is 1.79, ranging from 0.21 to 3.33; (2) the average Pielou’s evenness indexes of life forms of different plants in the communities of different regions are 2.25 (3) the Simpson’s dominance index of the west in Northern Xinjiang desert is lower than that of the east; Patrick's richness, Pielou’s evenness and Shannon-Wiener’s diversity index of the west are higher than those of the east.