bluuebunny/crossref_metadata_2025_split huggingface dataset:
Degradation and decolourization potential of ligninolytic enzyme producing Bacillus paramycoides BL2 and Micrococcus yunnanensis BL3 for pulp paper industrial effluent and its toxicity evaluation
Authors: Verma Prerna , Tripathi Sonam , Yadav Sangeeta , Chandra Ram , Ram Chandra 
Published: July 2022

Abstract
Aim of this study was to optimize the production of Ligninolytic enzyme for degradation of complex pollutants present in pulp paper industrial effluent (PPIE). Two ligninolytic enzyme-producing bacterial strains were isolated from PPIE and identified as Bacillus paramycoides strain BL2 (MZ676667) and Micrococcus yunnanensis strains BL3 (MZ676668). The identified bacterial strain Bacillus paramycoides strain BL2 showed optimum production of LiP (4.30 U/ml), MnP (3.38 U/ml) at 72 hrs of incubation, while laccase (4.43 U/ml ) at 96 hrs of incubation. While, Micrococcus yunnanensis strains BL3 produced maximum LiP (3.98) and MnP (3.85 U/ml) at 96 hrs of incubation and maximum laccase (3.85 U/ml) at 72 hrs of incubation, pH 7-8, and temperatures of 30-35°C. Furthermore, in the presence of glucose (1.0%) and peptone (0.5%) as nutrient sources, the enzyme activity of consortium leads reduction of lignin (70%), colour (63% ) along with COD (71%) and BOD (58%). The pollutants detected in control i.e. 3.6-Dioxa-2,7-disilaoctane , 2-Heptnoic acid ,trimethylsilyl ester, 7-Methyldinaphtho [2,1-b,1’,2’-d] silole , Hexadeconoic acid, trimethylysilyl ester, Methyl1(Z)-3,3-dipheny.1-4-hexenoale, 2,6,10,14,18,22-Tetracosahexane,2,2-dimethylpropyl(2Z,6E)-10,11epoxy5,6 Dihyrostigmasterol, acetate were completely diminished. The toxicity of PPIE was reduced up to 75%. Hence, knowledge of this study will be very useful for industrial sector for treatment of complex wastewater.
The effect of row spacing on biomass production of bioenergy grass species in wet marginal land
Authors: Thapa Santanu , Vittore Kayla M. , Allen Dylan P. , Guo Jia , Lee Moon-Sub , Lee D.K. 
Published: July 2022

Abstract
Demand for energy and the environmental consequences associated with emissions have created a need for alternative energy sources. To avoid conflict over distributing agricultural land to fuel crops rather than food, bioenergy crops could instead be cultivated on marginal land. This study compared the performance of bioenergy candidate crops including M. × giganteus, switchgrass, big bluestem, and prairie cordgrass when cultivated on the same waterlog-prone marginal land. Across all treatments, annual biomass yield was 14.16 Mg ha− 1. Row spacing had significant impacts on productivity for these species. Higher biomass yields were observed in 45cm spacing than in 90cm spacing. Additionally, the biomass yield responses to row spacings varied depending on grass species, which may be due to rhizome structure and vegetative growth types. Regarding feedstock quality, feedstock composition (cellulose, hemicellulose, lignin, and ash concentration) was not influenced by row spacing, and did not deviated from grass species grown on agricultural lands. During experimental periods, our results provide evidence that all four grass species could be cultivated on waterlogged marginal land while maintaining comparable biomass yields.
De novo methylation of histone H3K23 by the methyltransferases EHMT1/GLP and EHMT2/G9a
Authors: Vinson David A. , Stephens Kimberly E. , O'Meally Robert N. , Bhat Shri , Dancy Blair CR , Cole Robert N. , Yegnasubramanian Srinivasan , Taverna Sean D. 
Published: July 2022

Abstract
Epigenetic modifications to histone proteins serve an important role in regulating permissive and repressive chromatin states, but despite the identification of many histone PTMs and their perceived role, the epigenetic writers responsible for generating these chromatin signatures are not fully characterized. Here we report that the canonical histone H3K9 methyltransferases EHMT1/GLP and EHMT2/G9a are capable of catalyzing methylation of histone H3 lysine 23 (H3K23). Our data shows that while both enzymes can mono- and di-methylate H3K23, only EHMT1/GLP can tri-methylate H3K23. We also show that pharmacologic inhibition or genetic ablation of EHMT1/GLP and/or EHMT2/G9a leads to decreased H3K23 methylation in mammalian cells. Taken together, this work identifies H3K23 as a new direct methylation target of EHMT1/GLP and EHMT2/G9a, and highlights the differential activity of these enzymes on H3K23 as a substrate.
Detection and diagnosis of cleidocranial dysplasia by panoramic radiography
Authors: Shi Yuchao , Ye Zelin , Liu Yuanyuan , Wang Hu , You Meng 
Published: July 2022

Abstract
BackgroundThe purpose of this study was to illustrate and quantify the maxillofacial bone abnormalities detected on panoramic radiographs from a group of Chinese patients with cleidocranial dysplasia (CCD) and to provide a series of diagnostic references for dentists to indicate the presence of disease and help in making an early and accurate diagnosis.Materials and methodsThe dental panoramic radiographs of thirty CCD patients aged 11 to 45 years (18 males and 12 females) were examined retrospectively. The dentition states, including supernumerary teeth and impacted teeth, were recorded. Twelve quantified measurements were adopted to determine the abnormalities of maxillofacial bones, including the degree of the zygomatic arch downward bend, bicondylar breadth, ramal height, mandibular height, mandibular aspect ratio, mandibular body height, condylar height, coronoid height, distance between the coronoid process and the condyle, bigonial width, gonial angle and best-fit gonial circle diameter. The Wilcoxon rank-sum test was used to compare the findings of the CCD patients with those of their matched controls (n=300).ResultsSupernumerary teeth were detected in 27 patients (90.0%), and all 30 patients presented impacted teeth. Compared to the matched controls, the CCD patients had a significantly larger degree of zygomatic arch downward bend (ZAD), a larger diameter of the best-fit gonial circle (BGC), and a shorter distance between the coronoid process and the condyle (DCC) in panoramic radiographs (P<0.001). According to the reference interval established from the 5th or 95th percentile of the measurements in the control group, ZAD less than 6.90 mm, DDC greater than 22.37 mm and BGC greater than 52.41 mm were significantly associated with the CCD features identified. Other panoramic measurements were not significantly different between the two groups.ConclusionsIn this study, we identified some featured radiographic parameters of maxillofacial bones in CCD patients. These features can be recognized in commonly used dental radiographs and therefore may provide valuable information for the early diagnosis and treatment of CCD.
Contextual factors influencing the implementation of a new midwife education programme in India: A qualitative study
Authors: Erlandsson Kerstin , Jha Paridhi , Sharma Bharati , Bogren Malin 
Published: July 2022

Abstract
The Government of India has committed to educate 90,000 midwives in accordance with international norms. This goal is critical as midwives save lives through providing evidence-based, high-quality midwifery care. There is a need to explore the contextual factors influencing this new midwifery education programme. Hence, the aim of this study is to explore contextual factors influencing the implementation of the national midwifery education programme for midwifery educators and the future Nurse Practitioners in Midwifery (NPMs) in India. A qualitative research design was used, with data collected through focus group discussions (n=8) with a total of 27 participants representing seven national and international organisations supporting the Indian Government in its midwifery initiative. Transcribed interviews were analysed using content analysis according to Elo and Kyngas. This study on contextual factors influencing the implementation of the new midwifery education programme in India showed that organisation and administrative processes are complex and the production of midwifery educators and nurse practitioners in midwifery needs to be fast tracked. The education of educators and future midwives in India, and elsewhere in similar settings, could benefit from efforts to simplify the organisation and administration processes and, in parallel, mobilize innovative teaching and learning approaches to bridge theory and practice.
Low carbon transition of global power sector may enhance sustainable development goals
Authors: Peng Kun , Feng Kuishuang , Chen Bin , Shan Yuli , Zhang Ning , Wang Peng , Fang Kai , Bai Yanchao , Zou Xiaowei , Wei Wendong , Geng Xinyi , Zhang Yiyi , Li Jiashuo 
Published: July 2022

Abstract
Low-carbon power transition, key to combatting climate change, brings far-reaching effects on achieving Sustainable Development Goals (SDGs), in terms of resources use, environmental emissions, employment, and many more. Here we assess the potential impacts of power transition on multiple SDGs progress across 49 economies under six socio-economic-climate scenarios. We find that the low carbon power transition under Representative Concentration Pathway (RCP) 2.6 scenarios could lead to approximately 10% improvement in global SDG index score from 65.30 in 2015 to 71.62–71.64 in 2050. However, the improvement would be significantly decreased to 1.91%-4.98% and 3.42%-5.24% under RCP6.0 and RCP4.5 scenarios, respectively. Power transition could improve the overall SDG index in most developed economies under all scenarios while undermine their resources-related SDG scores. The power transition induced changes in international trade would improve developed economies’ SDG progress, but jeopardize that of developing economies which usually serve as resource hubs to meet the demand for low carbon power transition in developed economies.
HYOU1 promotes cell prolifetaion, migration and invasion via PI3K/ATT/FOXO1 feedback loop in bladder cancer
Authors: Wang Weiguo , Jiang Xinjie , Xia Fei , Chen Xudong , Li Guojun , Liu Lizhuan , Xu Qiang , Zhu Min , chen cheng 
Published: July 2022

Abstract
Background: Hypoxia up-regulated 1 (HYOU1) was identified as a proto-oncogene and involved in tumorigenesis and progression in several cancer. Nonetheness, the biological function and mechanism of HYOU1 in bladder cancer (BCa) remian unclear.Methods: The HYOU1 level in BCa tissues and cells was examined using RT-qPCR and western blot method. The biological role of HYOU1 on BCa cell proliferation, apoptosis, migration and invasion were analyzed via CCK-8, flow cytometry, wound healing and Transwell assays, respectively. The association between HYOU1 and the PI3K/AKT/FOXO1 signalling was assessed via western blot assay, meanwhile the the association of FOXO1 with HYOU1 was also investigated.Results: HYOU1 was up-regulated in BCa tissues and cell lines. The increased expression level of HYOU1 was indicated the poor prognosis. HYOU1 depletion impeded cell proliferation, migration and invasion, and induced cell apoptosis, while HYOU1 overexpression promoted cell proliferation, migration and invasion. Mechanically, our results showed that HYOU1 knockdown repressed PI3K/AKT/FOXO1 pathway and HYOU1 was negative regulated by FOXO1 in BCa. Significantly, we confirmed that the HYOU1/PI3K-AKT/FOXO1 negative feedback loop was involved in BCa cell proliferation, migration and invasion. Conclusions: These findings revealed that HYOU1 acted as a pro-oncogene on BCa developent and progression, and it will be a possible target for BCa treatment.
Disproportionality Analysis of Tumour Lysis Syndrome (TLS) Associated with Bruton's Tyrosine Kinase Inhibitor (BTKi) using Food and Drug Administration Adverse Events Reporting System (FAERS) Database
Authors: Zeba Zeba , Shettigar Amrutha , Lukose Lipin , Kaur Gursimran , Nair Gouri , Haider Nafis , Thomas Levin , Subeesh Viswam , Rao Mahadev 
Published: July 2022

Abstract
Background: Bruton's tyrosine kinase inhibitors (BTKis) are used for treating B-cell leukaemia and lymphomas like chronic lymphocytic leukaemia, mantle cell lymphoma, and Waldenström macroglobulinemia. Tumour lysis syndrome (TLS) is an adverse event associated with this class, the prevalence of which is not well studied in an actual context. Objective: This study aims to detect the possible safety signal of BTKis-associated with TLS through disproportionality analysis in the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Patients and Methods: A case/non-case retrospective disproportionality analysis was performed in a publicly available FAERS database using OpenVigil 2.1 (2014Q1-2021Q3). The preferred term defined by MedDRA v24 used for the study was "tumour lysis syndrome" and the drugs included in the analysis were acalabrutinib, ibrutinib, and zanubrutinib. Reporting odds ratio (ROR) was used as the analysis data mining algorithm. Results: 2852 cases of TLS were identified from FAERS database, of which 121 (4.2%) reports were associated with BTKis. Ibrutinib accounted for 103 (85.1%), acalabrutinib for 15 (12.4%), and zanubrutinib for 3 (2.5%) cases of TLS reports associated with BTKis. Positive signal strength was obtained for ibrutinib [ROR 13.5 (95%CI: 11.1-16.4), acalabrutinib [ROR 42.8 (25.7-71.3), and zanubrutinib [ROR 72.4 (23-227.5)] associated TLS. On gender stratification, acalabrutinib and ibrutinib were found to have a higher value (ROR of 1.7 times) for females than males. Conclusion: Our analysis of spontaneous reporting data identified signals for TLS with acalabrutinib, ibrutinib, and zanubrutinib. More research with a superior epidemiological study design of a defined population is required to validate these findings.
Network analysis and basic experiments on the inhibition of renal cancer proliferation and migration by alpinetin through PI3K/AKT/mTOR pathway
Authors: Guo Yu , Jiang Li , Luo Shengjun , Hu Daixing , Zhao Xin , Zhao Guozhi , Tang Wei 
Published: July 2022

Abstract
To investigated the antitumor effect of on renal clear cell carcinoma (ccRCC). Network Pharmacology analysis of targets and molecular mechanisms of Alpinetin treating ccRCC. The Annexin V PE/7-AAD kit was used to detect apoptosis. Flow cytometry and Cell Counting Kit-8 (CCK-8) were used to detect cell proliferation and cycle. Cell migration analysis was performed by a 24-well transwell chamber and the ibidi scratch insert. The protein expression of the target molecule was detected by Western blotting. Nude mouse tumorigenesis assays were used to determine the in vivo antitumor effects of alpinetin. Network pharmacology revealed that GAPDH, HRAS, SRC, EGFR, and AKT1 are the main targets of alpinetin for the treatment of ccRCC, with the PIK/AKT signaling pathway being the main pathway of action. Alpinetin could significantly inhibit the proliferation and migration of ccRCC cells by inducing apoptosis. Alpinetin also inhibited the cycle progression of ccRCC cells by blocking them in the G1 phase. Furthermore, in vivo and in vitro, alpinetin could inhibit the activation of PI3K/Akt pathway involved in the proliferation and migration of ccRCC. Alpinetin can inhibit the growth of ccRCC cells by inhibiting the activation of PI3K/Akt pathway and can be a potential anti-cancer drug for ccRCC.
How do scarcity promotion and cause-related events lead to impulse purchase in the agricultural product live stream?
Authors: guo mengqian , Li Xiaolin , Huang Dunhu 
Published: July 2022

Abstract
Harvest agricultural products are perishable. If they cannot be sold, there will be serious grain loss and food waste. It is an important issue related to human sustainable development and urgent to address. As the most popular way of shopping, live shopping has achieved remarkable achievements, while the existing research is relatively silent on how to promote the sales of agricultural products in the context of live streams. Based on S-O-R theory and dual-system theory, three studies investigated the intrinsic mechanism of consumers' impulse purchase intention in live streams. The results show that scarcity promotion and cause-related events are positively correlated with consumers' impulse purchase intention. The intrinsic mechanism is respectively arousal and moral elevation. Interestingly, when scarcity promotion and cause-related events are presented at the same time, the impact of cause-related events on impulse purchase is no longer significant. Overall, the proposed model could be used to predict consumers’ willingness and provide the choice of marketing strategy to promote the sale of agricultural products, which has significant theoretical and practical value.
Neural network multi-component gas mixture analysis with broadband dual-frequency comb absorption spectroscopy
Authors: Tian Linbo , Xia Jinbao , Kolomenskii Alexandre , Schuessler Hans , zhu feng , Li Yanfeng , He Jingliang , Dong Qian , Zhang Sasa 
Published: July 2022

Abstract
The cross interference of gas species in absorption spectroscopy is one of the most challenging obstacles for the analysis of multi-component gas mixtures with overlapping absorption features (blended spectra). We propose a multi-component gas mixture sensor combining a broadband absorption spectrum acquisition with a spectrum analysis algorithm. The sensor features a mid-infrared dual-frequency comb laser source enabling sensitive measurements in a broad spectral interval combined with a deep learning algorithm for spectral analysis to accurately identify the species and retrieve the concentrations of the gas components in the mixture. The sensor is tested with gas mixtures of three common gas species, namely methane, acetone and water vapor. The architecture tuning and model training are achieved by a physics-informed augmented dataset. The proposed spectral analysis model is evaluated firstly by comparison with two other state-of-the-art neural network algorithms (2L-ARNN and 1D-CNN). The performance of the complete sensor is then assessed by real-time measurements in realistic detection scenarios. In addition, we systematically analyzed and presented explicit visualizations explaining the inner working mechanism of the considered algorithms. The high performance of the proposed sensor suggests that it is feasible to realize schemes for more general gas mixture analysis by integrating broadband optical sensing and deep learning models.
Skinfold Thickness Pinch Size Can Interfere in the Estimation and Classification of Body Adiposity
Authors: Cintra-Andrade Joaquim Huaina , Brito Filipe Oliveira , Freire-Correia Maria Izabel , Costa Roberto Fernandes , Ripka Wagner Luis 
Published: July 2022

Abstract
The objective was to verify the effect of pinch size on the absolute measure of skinfold thickness and on the consequent interference in the estimation and classification of the components of body adiposity. This was a cross-sectional study conducted with a sample of 29 subjects of both sexes aged 20 to 35 years. The study was conducted in the city of Fortaleza, Ceará, Brazil. Four measurement steps were performed at each site of the eight chosen skinfolds. The first step was performed with a subjective-landmark and the three subsequent steps with fixed-landmarks defined with an expanding secondary line at 2 cm intervals. Body adiposity components were estimated from the skinfold thickness measured at each landmark. Repeated measures ANOVA and Bland-Altman agreement analysis were applied. The subjective-landmark was chosen as the dependent variable. The 6 cm-landmark showed similarity and statistical agreement with the subjective-landmark for all skinfolds except the thigh, and with the sums of five and eight skinfolds. All fixed-landmarks showed agreement below the cut-off point for the percentile classification of subcutaneous adiposity and normative relative body fat. It is concluded that variation in the pinch size of skinfold thickness is a new and important source of technical error in anthropometric measurement.
Automated Meniscus Segmentation and Tear Detection of Knee MRI with a 3D Mask-RCNN
Authors: Li Yuan-Zhe , Wang Yi , Fang Kai-Bin , Zheng Hui-Zhong , Lai Qing-Quan , Xia Yong-Fa , Chen Jia-Yang , Dai Zhang-sheng 
Published: July 2022

Abstract
Background
The diagnostic results of MRI are important references for arthroscopy as an invasive procedure. A deviation between medical imaging diagnosis and arthroscopy results may cause irreversible damage to patients and lead to excessive medical treatment. To improve the accurate diagnosis of meniscus injury, it is urgent to develop auxiliary diagnosis algorithms to improve the accuracy of radiological diagnosis.
Purpose: The purpose of the study is to present a fully automatic 3D deep convolutional neural network (DCNN) for meniscus segmentation and to detect arthroscopically proven meniscus tears.
Materials and methods: Our institution retrospectively included 533 patients with 546 knees who underwent knee magnetic resonance imaging (MRI) and knee arthroscopy. The sagittal proton density-weighted (PDW) images in MRI of 382 knees were regarded as a training set to train our 3D-Mask RCNN. The remaining data from 164 knees were used to validate the trained network as a test set. The masks were hand-drawn by an experienced radiologist, and the reference standard is arthroscopic surgical reports. The performance statistics included Dice accuracy, sensitivity, specificity, FROC, receiver operating characteristic (ROC) curve analysis, and bootstrap test statistics. The segmentation performance was compared with a 3D-Unet, and the detection performance was compared with radiological evaluation by two experienced musculoskeletal radiologists without knowledge of the arthroscopic surgical diagnosis.
Results: Our model produced strong Dice coefficients for sagittal PDW of 0.924, 0.95 sensitivity with 0.823 FPs/knee. 3D-Unet produced a Dice coefficient for sagittal PDW of 0.891, 0.95 sensitivity with 1.355 FPs/knee. The difference in the areas under 3D-Mask-RCNN FROC and 3D-Unet FROC was statistically significant (p=0.0011) by bootstrap test. Our model detection performance achieved an area under the curve (AUC) value, accuracy, and sensitivity of 0.907, 0.924, 0.941, and 0.785, respectively. Based on the radiological evaluations, AUC value, accuracy, sensitivity, and specificity were 0.834, 0.835, 0.889, and 0.754, respectively. The difference in the areas between 3D-Mask-RCNN ROC and radiological evaluation ROC was statistically significant (p=0.0009) by bootstrap test. 3D Mask RCNN significantly outperformed the 3D-Unet and radiological evaluation that were demonstrated by These results.
Conclusion: 3D-Mask RCNN has demonstrated efficacy and precision for meniscus segmentation and tear detection in knee MRI, which can assist radiologists in improving the accuracy and efficiency of diagnosis. It can also provide effective diagnostic indicators for orthopedic surgeons before arthroscopic surgery and further promote precise treatment.