bluuebunny/crossref_metadata_2025_split huggingface dataset:
Covalent Immobilization of Multi-Enzyme Biocatalysts on Nano-Silica for Efficient p,p'-DDT Degradation
Authors: Salem Tamer M. , Fetyan Nashwa A. H. , Taha Ahmed Aboueloyoun , Malhat Farag M. , Ramadan Amal Ibrahim 
Published: August 2023

Abstract
Growing concerns over environmental pollution have necessitated the development of new-generation environmental protection technologies. Multi-enzyme biocatalysts offer a promising approach for reducing pollution caused by organic wastes. However, the recovery of free-form multienzymes is challenging, resulting in high costs and low production efficiency, limiting their application in bioremediation. Immobilization provides a solution by stabilizing and retaining enzymes. In this study, we devised a sensitive and stable enzyme biocatalyst by covalently immobilizing multi-enzymes onto nano-silica using glutaraldehyde. Ligninolytic enzymes (laccase, aryl alcohol oxidase, lignin peroxidase, and manganese peroxidase) were produced from Pleurotus ostreatus (NRRL-2366) under submerged fermentation. Enzymes were partially purified through ammonium sulfate precipitation and dialysis. These purified enzymes were immobilized on nano-silica. The resulting immobilized enzymes biocatalyst exhibited stability and activity across a pH range of 4 to 9 and a temperature range of 20 to 55°C. Immobilization of laccase, lignin peroxidase, manganese peroxidase, and aryl-alcohol oxidase achieved residual activities of 77%, 62.5%, 41.59%, and 28.21%, respectively, after three consecutive batches. Immobilized enzymes biocatalyst effectively degraded p,p'-DDT, and its complete degradation was achieved after incubation at pH 5 and 30°C for 12 hours, as confirmed by HPLC analysis. The GC-MS analysis revealed the detection of eleven major metabolites during the degradation process, which were utilized to predict the degradation pathway.
Systematic review and meta analysis of the preventive effect of HPV vaccine in anal squamous intraepithelial lesions in MSM
Authors: Hu Xinyue , Wang Wenjie , Liu Yuanjun 
Published: August 2023

Abstract
Objective: To systematically review and appraise published data, to determine efficacy and safety of the quadrivalent human papillomavirus (qHPV) vaccine in preventing anal intraepithelial neoplasia (AIN) incidence in men who have sex with men(MSM);
Design: Systematic review and meta-analysis;
Data sources: PubMed, Embase, Cochrane Library and Web of Science;
Results: The qHPV vaccine-group showed a decresed risk of AIN incidence close to a half as compared to the placebo group.(OR=0.49,95%CI 0.22-1.11, P=0.09, I²= 97.9%). For the subgroup analysis, the AIN incidence of the HIV-positive group showed no meaningful difference between vaccine group and placebo group(pooled OR=1.07, 95%CI 0.74-1.53; P=0.73), and the AIN incidence of vaccine group in the HIV-negative group reduced by a factor of four (pooled OR=0.20, 95%CI 0.15-0.28; P<0.00001) in contrast with the placebo group. Test for subgroup differences: P<0.00001, I²= 97.9%;
Conclusions: MSM who received qHPV vaccine had a decreased risk of AIN incidence compared with those who did not receive the vaccine. The subgroup analysis suggested that HIV-positive MSM may not be protected from AIN by vaccination;
Clinical PROSPERO: registration number (CRD42022301994).
Sulfur Source Effects on Soil Sulfur Concentration, Vegetation Indices, Biomass, and Sulfur Uptake in Potato
Authors: Sharma Ayush , Sidhu Simranpreet , Riley Simon , Griffin Winniefred , Zotarelli Lincoln , Sharma Lakesh 
Published: August 2023

Abstract
Potato is an important tuber crop, consumed globally by over a billion people. Among the essential nutrient for optimum potato growth, sulfur (S) is the most crucial after nitrogen, phosphorous, and potassium. In addition, the S is necessary for amino acid production, disease resistance, protein synthesis, and N assimilation. In this study, we tested the performance of three S sources: magnesium sulfate (EPTOP), gypsum, Ammonium sulfate (AS) applications at 45 and 90 kg ha− 1 for soil S availability, vegetative indices, above- and below-ground biomass, and potato S uptake. It was found that maximum soil S availability was reported when applied as EPTOP, followed by gypsum and AS at 90 kg ha− 1 compared to 45 kg ha− 1. For vegetative indices such as normalized difference vegetative index (NDVI), normalized difference red-edge index (NDRE), and chlorophyll content (CC), the maximum values were reported when gypsum and EPTOP were applied compared to AS. These differences were decreased later in the crop stages. Besides, individual band reflectance red and red-edge values decrease with time and near infra-red increases with time, following the same trend as of vegetative indices. For S uptake, sources or rates did not affect shoot S uptake, but for tuber S uptake, the factors such as S source, rate, and sites had a significant interaction. The maximum S (9.65 kg ha− 1) among the tubers was removed when EPTOP was applied at 45 kg ha− 1. It was reported that the EPTOP can release the S slowly so can retain in the soil for longer time which eventually reflects in its responses as biomass production and S removal.
Linear Discrete Method for Two-component Coagulations
Authors: Yang Manli , Xu Guanghui 
Published: August 2023

Abstract
The paper pays attention to the simulation method for two-component coagulation. Based on Simmel’s one-component Linear Discrete Method (LDM), we develop two-component linear discrete method. The method is used to simulate two classical cases, and the simulation results fit the theoretical analysis well. This method makes up Bott’s two-dimensional linear flow method (TFM) that can only handle the case one component is dominant on the coagulation process.
Experimental study on cutting carbon steel with pre-mixed abrasive water jet and construction of a mathematical model for predicting cutting surface roughness
Authors: Zhang Xiyang , Wang Yan , Xie Huaibei , Zhang Guorong 
Published: August 2023

Abstract
Realizing precision machining of pre-mixed abrasive water jet is an important issue that needs to be solved, and physical model analysis, experimental research, establishment of predictive mathematical models, and experimental verification are relatively mature solutions. Based on dimensional analysis, the key influencing parameters on the cutting surface roughness Ra of pre-mixed abrasive water jet cutting were determined: working pressure of water jet P, feed rate v, target distance h, and nozzle outlet diameter d. A full factor cutting experiment L81 (34) was developed for Q235 carbon structural steel based on four key influencing parameters, and the cutting experiment was completed using a pre-mixed abrasive water jet cutting system. Based on the analysis of polar variance, the significance relationships of four key influencing parameters were obtained, with d>v>P>h. Analyze the experimental data to obtain the optimal parameter combination: P=28 MPa, v=50 mm/min, h=4 mm, d=1.14 mm. The minimum Ra under this parameter combination is 0.760 µm. Based on the multivariate nonlinear regression analysis method, a mathematical model for predicting the cutting surface roughness of Q235 carbon structural steel was constructed, with an average relative error of 3.633%. The mathematical model for predicting the cutting surface roughness of Q235 carbon structural steel constructed in this study has good reliability and has a good predictive effect on the cutting surface roughness.
Impact of the COVID-19 Epidemic on Deaths in Korea
Authors: Jang Hye Jin , Han Soyul , Won Sungho , Lee Bora , Kim Young Sam 
Published: August 2023

Abstract
The coronavirus disease 2019 (COVID-19) epidemic is a major public health problem worldwide. This study estimated the impact of SARS-CoV-2 in terms of the excess mortality from any cause during the COVID-19 epidemic in the Republic of Korea. The excess mortality during the COVID-19 epidemic was analyzed using the number of deaths over the past 5 years (2015–2019) in Korea. The numbers of total deaths and COVID-19–related deaths were counted from January 2020 through May 2022, using public data from the Korean Statistical Information Service (KOSIS) of Statistics Korea. These numbers were compared with nationwide mortality data from January 1, 2015, through December 2019. There were more than 24,000 reported deaths officially across Korea from January 2020 through May 2022. Excess mortality was observed nationwide in March, August, October, November, and December 2020; January, March, July, and August 2021; and October 2021 through May 2022, which was consistent with the epidemic waves in the country. After 2021, significant excess mortality occurred at the national level despite decreasing COVID-19 case fatality rates which means there might be an another relevant factors on all-cause mortality aside from the direct effect of deaths from COVID-19.
Character Association and Path Analysis Studies in Indian Mustard [Brassica juncea L.]
Authors: Kumar Rajneesh , Pandey Manoj Kumar , Priyanka Narlagadda , Kumar Vinay 
Published: August 2023

Abstract
The current research was conduct with 20 genotypes of Indian mustard (Brassica juncea L.) at Agriculture Research Farm, Lovely Professional University, Punjab during Rabi 2020-21 in RBD with 3 replication among 12 traits was study to determine the relationship between seed yield per plant and its components at the genotypic level and phenotypic level. The research study of genotypic path coefficient analysis for several traits demonstrated a positive direct effect on seed yield plant− 1 by the plant height, No. of primary branches plant− 1, seeds siliqua− 1, biological yield, harvest index and test weight. Negative direct effect on No. of days to flowering, No. of days to maturity, No. of secondary branches plant− 1, No. of siliqua plant− 1 and siliqua length. From the present findings, we can conclude that the selection of characters with the positive direct effect would be beneficial for increasing the yield. The requirement for providing appropriate consideration to Days to maturity, Plant height, No. of secondary branches plant− 1, no. of seeds siliqua− 1, Biological yield, Harvest index and Test weight has been specifically outlined in the current study.
Effect of systemic corticosteroid on pulmonary function and survival of severe COVID-19 with COPD
Authors: Jin Qian , Zhu Tiefeng , Wei Yi , He Haidong , Wang Liping , Xu Xianrong , Huang Feihua 
Published: August 2023

Abstract
This study aimed to evaluate the effect of different dose and initiating time of systemic corticosteroid on severe COVID-19 with chronic obstructive pulmonary disease (COPD). The study included severe COVID-19 with COPD group and severe COVID-19 group. Pulmonary function and 3-month survival were analyzed and compared. The results showed initiating systemic corticosteroid therapy in 1–7 days after diagnosed with COVID-19 can improve the FEV1%, DLco%, lung fibrosis score and 3-month survival, especially in severe COVID-19 with COPD patients (P = 0.0010, P = 0.0001, P = 0.0000 and P = 0.0001, respectively). ≥6mg dexamethasone injection daily in the 1st week of corticosteroid therapy can improve the DLco%, lung fibrosis score and 3-month survival, especially in COPD patients (P = 0.0458, P = 0.0013 and P = 0.0004, respectively). The 3-month survival of severe COVID-19 with COPD patients was higher than that of non-COPD patients (Log-rank: P = 0.0018), while the initiating time of systemic corticosteroid therapy was earlier (7.17 ± 5.70 days VS 10.12 ± 5.78 days, P = 0.0000) and the 1st week corticosteroid dose was higher (46.41 ± 26.56 mg VS 38.49 ± 31.56 mg, P = 0.0142). In conclusion, severe COVID-19 with COPD patients can have satisfied clinical outcomes if initiating systemic corticosteroid therapy in an early time (1–7 days after diagnosed with COVID-19) with enough dose (≥ 6mg dexamethasone injection daily).
The impact of a pilot dance intervention program for children and adolescents with developmental disabilities: a randomized control trial
Authors: Anderson Jeffrey , Toolan Christina , Coker Emily , Singer Hannah , Pham Derek , Jackson Nicholas , Lord Catherine , Wilson Rujuta 
Published: August 2023

AbstractBackground Organized physical activity programs have been shown to provide wide benefits to participants, though there are relatively few studies examining the impact of these programs for individuals with developmental disabilities. This pilot study was conducted to determine the feasibility and impact of an undergraduate-led dance intervention program for children and adolescents with developmental disabilities. We evaluated the impact of the dance program on motor ability and social skills. Methods The study design was a waitlist control clinical trial in which participants were randomized to active and control groups. After gathering baseline data, the active group completed 1 hour of online dance classes per week for 10 weeks, while the control group entered a 10-week waiting period. All participants then returned for a follow-up visit. Pre- and post-intervention data were analyzed using linear mixed-effects modeling adjusting for age and class attendance with subject random intercept. Results The active group demonstrated a significant improvement in motor skills in an unpredictable environment, as indicated on the Motor Assessment Battery for Children Checklist. We also observed positive trends in social skills that did not reach significance. Conclusions Our results indicate that it is feasible to develop and implement a fully digital dance intervention program for individuals with developmental disabilities. Further, we find that change in motor skills can be detected after just 10 hours of low-intensity participation. However, a lack of significant change in social skills coupled with limitations in study implementation suggests further research is needed to determine the full impact of this dance program. Trial Registration: ClinicalTrials.gov Protocol Registration System: Protocol ID 20-001680-AM-00005, registered 17/2/2021 – Retrospectively Registered, https://clinicaltrials.gov/ct2/show/NCT04762290?term=20-001680-AM-00005&draw=2&rank=1
Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M3A2S2H Score
Authors: Al-Mufti Fawaz , Patel Smit D. , Ogulnick Jonathan , Subah Galadu , Nolan Bridget , Uddin Anaz , Blowes Leah , Bloomfield Jessica , Raghavendran Keshav , Marikunte Sanjana , Feldstein Eric , Nuoman Rolla , Rosenberg Jon , Bauerschmidt Andrew , Overby Philip , Ramani Venkat , Wolf Steven M. , Milligan Tracey , Holmes Manisha , Gandhi Chirag D. , Etienne Mill , Mayer Stephan A. 
Published: August 2023

Abstract
Purpose:
This study aimed to investigate in-patient mortality and predictors of death associated with convulsive status epilepticus (CSE) in a large nationwide cohort.
Methods:
Retrospective data from the National Inpatient Sample (NIS) database between 2007 and 2014 were analyzed, including 123,082 adults with CSE. Univariate logistic testing identified admission variables, neurological and medical complications associated with mortality. A simplified clinical prediction score, called M3A2S2H, was generated using variables that were frequent (> 1%) and had a significant impact on mortality.
Results:
The overall hospital mortality rate was 3.5%. Univariate analysis revealed that older age, female gender, past medical history, and acute hospital conditions were related to mortality. After reclassification, a final multivariable model with 27 clinical variables was constructed, and the eight strongest predictors were included in the M3A2S2H score: hypoxic-ischemic encephalopathy (2 points); age > 60 years, acute symptomatic CSE, invasive mechanical ventilation, sepsis, metastases, and chronic liver failure (all 1 point); and medication nonadherence (-1 point). The mortality rate among patients with ≤ 0, 1, 2, 3, 4, or ≥ 5 of these risk factors progressively increased from 0.2%, 2.1%, 7.8%, 20.3%, 31.9%, to 50.0% (P < 0.0001). Additionally, a similar stepwise trend was observed regarding discharge to a facility versus home without services (P < 0.0001).
Conclusions:
This study demonstrates that mortality in CSE cases occurs in 3.5% of adult hospital admissions. Identification of specific acute and chronic conditions using the M3A2S2H score can help predict the risk of death or disability.
Effect of H3BO3 modification on the char yield of epoxy resin and structure and property of epoxy resin carbon foam
Authors: YANG Ping Jun , LI Tie Hu , LI Hao , DANG A Lei 
Published: August 2023

Abstract
H3BO3 promotes the removing oxygen-containing functional groups of epoxy resin (EP) and forms B-O-C bond with EP during pyrolysis. Char yield of EP is decided by the chemical crosslinking of EP and H3BO3 and H3BO3 dehydration. The char yield of 0 and 9 wt% H3BO3 modified EP are 19 and 33.4 wt%, respectively. The graphitization degree and grain stacking thickness of EP carbon foam (CF) first decrease and then increase with H3BO3 increase. The graphitization degree of 0, 3, 6, 9 and 12 wt% H3BO3 modified EP CF are 0, 11.6, 0, 0, and 23.2 %, respectively. Furthermore, the ID/IG value of 0, 3, 6, 9, 12 wt% H3BO3 modified EP CF are 0.97, 1.05, 1, 1.1, and 0.89, respectively. For 0 and 3 wt% H3BO3, the bubbles combine easily and form bigger cell size of CF. When the H3BO3 is 6 wt% above, the combination of bubbles become difficult, and decreases cell size of CF. However, the cell size (760 μm) of 12 wt% H3BO3 modified EP CF is the maxim due to H2O foaming. The electrical conductivity of 0 and 3 wt% H3BO3 modified EP CF is 15.56 to 25.94 S/m, respectively, which is decided by the CF carbon graphite structure and its density. The compressive strength of H3BO3 modified EP CF gradually decreases with H3BO3 increase, which is influenced by CF density. The compressive strength (0.6 Mpa) of 12 wt% H3BO3 modified EP CF is much lower than pure EP CF (3.32 MPa).
Role of DNA Methylation in Ischemic-Hypoxic Endothelial Cells and its Clinical Implications in AMI Patients
Authors: Tang Yuning , Wang Yongxiang , Wang Shengxiang , Wang Runqing , Xu Jin , Peng Yu , Ding Liqiong , Zhao Jing , Zhou Gang , Sun Shougang , Zhang Zheng 
Published: August 2023

Abstract
The obstructed coronary artery undergoes a series of pathological changes due to ischemia and hypoxic shocks during acute myocardial infarction (AMI). However, the altered DNA methylation levels in endothelial cells under these conditions and their implication for the etiopathology of AMI have not been investigated in detail. This study aimed to explore the relationship between DNA methylation and pathologically altered gene expression profile in human umbilical vein endothelial cells (HUVECs) subjected to oxygen-glucose deprivation (OGD), and its clinical implications in AMI Patients. The Illumina Infinium MethylationEPIC BeadChip assay was used to explore the genome-wide DNA methylation profile using the Novaseq6000 platform for mRNA sequencing in 3 pairs of HUVEC-OGD and control samples. GO and KEGG pathway enrichment analyses, as well as correlation, causal inference test (CIT), and protein-protein interaction (PPI) analyses identified 22 hub genes that were validated by MethylTarget sequencing as well as qRT-PCR. ELISA was used to detect four target molecules associated with the progression of AMI. A total of 2524 differentially expressed genes (DEGs) and 22148 differentially methylated positions corresponding to 6642 differentially methylated genes were screened (|Δβ|>0.1 and detection p<0.05). After GO, KEGG, correlation, CIT, and PPI analyses, 441 genes were filtered. qRT-PCR confirmed the overexpression of VEGFA, CCL2, THBS1, SQSTM1, BCL2L11, and TIMP3 genes, and downregulation of MYC, CD44, BDNF, GNAQ, RUNX1, ETS1, NGFR, MME, SEMA6A, GNAI1, IFIT1, and MEIS1. DNA fragments BDNF_1_ (r=0.931, p<0.0001) and SQSTM1_2_NEW (r=0.758, p=0.0043) were positively correlated with the expressions of corresponding genes, and MYC_1_ (r=-0.8245, p=0.001) was negatively correlated. Furthermore, ELISA confirmed TNFSF10 and BDNF were elevated in the peripheral blood of AMI patients (p=0.0284 and p=0.0142, respectively). Combined sequencing from in-vitro cellular assays with clinical samples, focusing on the importance of endothelial cells in AMI, our study identified promising OGD-specific genes, which provided a solid basis for screening fundamental diagnostic and prognostic biomarkers of coronary endothelial cell injury of AMI. Moreover, it furnished the first evidence that during ischemia and hypoxia, the expression of BNDF was regulated by DNA methylation in endothelial cells and elevated in peripheral blood.
Forecasting Time Series Covid 19 Using Deep Learning Methods: South America Comparative Case Study
Authors: Alfaro Miguel , Vargas Manuel , Fuertes Guillermo , Grado Dalí , Suarez Enrique , Silva Ignacio , Karstegl Natalia 
Published: August 2023

Abstract
The global pandemic of COVID-19 that took place in 2020 and 2021 posed different challenges for health systems worldwide, revealing various deficiencies and generating supply problems and a breakdown in medical services. Given this situation, it is crucial to have predictive methodologies that can accurately estimate the behavior of diseases of this type. This would allow countries to be better prepared in the future and respond effectively to future similar situations, avoiding a repetition of large-scale events. In the literature, deep learning techniques, in particular, have shown promise in this field. In this paper, a comparative study is performed between individual Deep Learning models, such as Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU), along with hybrid models that combine Conv1D with LSTM or GRU. The objective is to predict contagion curves in Latin American countries, specifically in Argentina, Brazil, Chile, Colombia, and Peru. These countries present a dwindling number of studies in the existing literature, which makes this work especially relevant. The results emphasize the competitiveness of the hybrid models, which show MAPE values ranging from 0.1–1%. In contrast, the individual models present slightly higher MAPE, in the range of 0.2–0.8%. These results demonstrate the effectiveness of the proposed Deep Learning models in predicting the spread of COVID-19 in South America.
Diagenetic Characteristics and Controlling Factors of the Paleogene Sandy Conglomerate Reservoirs in the North Chezhen Sag, Bohai Bay Basin, China
Authors: Room Shahab Aman e , Ahmad Waqar , Iqbal Ahmad 
Published: August 2023

Abstract
The Paleogene sandy conglomerate reservoirs in the North Chezhen Sag, Bohai Bay basin have undergone significant diagenesis, resulting in complex reservoir characteristics. This study investigates the diagenetic characteristics and controlling factors of these reservoirs using petrographic analysis, scanning electron microscopy, X-ray diffraction, and fluid inclusion analysis. The diagenetic processes include compaction, cementation, dissolution, and replacement. Compaction is the dominant diagenetic process, leading to a reduction in porosity and permeability. Cementation is mainly due to quartz overgrowth and carbonate cements, which further reduce the reservoir quality. Dissolution and replacement, on the other hand, have a positive impact on reservoir quality, creating secondary porosity and enhancing permeability. The controlling factors of diagenesis include sedimentary environment, lithology, burial depth, and fluid flow. The sedimentary environment and lithology control the original texture and mineral composition of the reservoirs. Burial depth affects the degree and timing of diagenesis, with deeper burial leading to more significant diagenesis. Fluid flow influences the type and timing of cementation and dissolution, which further impact reservoir quality. Understanding the diagenetic characteristics and controlling factors of the Paleogene sandy conglomerate reservoirs in the North Chezhen Sag, Bohai Bay Basin is essential for reservoir evaluation and exploration. The results of this study can be used to guide future reservoir development strategies and optimize production.