bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of High-Performance Seismic Phase Picker Using Deep Learning in Hakone Volcanic Area
Authors: Kim Ahyi , Nakamura Yuji , Yukutake Yohei , Uematsu Hiroki , Abe Yuki 
Published: November 2022

Abstract
In volcanic regions, active earthquake swarms often occur associated with volcanic activity, and their rapid detection and measurement are crucial for volcano disaster prevention. Currently, however, these processes are ultimately left to human judgment and require much time and money, making detailed verification in real time impossible. To overcome this issue, we attempted to apply machine learning, which has been studied in many seismological fields in recent years. Several models have already been trained using a large amount of training data (mainly crustal earthquakes). Although there are some cases where these models can be applied without any problems, regional dependence on the learned models has also been reported. Since this study targets earthquakes in a volcanic region, existing learned models may be difficult to apply. Therefore, in this study, we created the above publicly available trained model (model0), a model trained with approximately 220,000 seismic waveform data recorded at Hakone volcano from 1999 to 2020 with initialized weights (model1) using the same architecture, and a model fine-tuned with the aforementioned Hakone data using the weight of model0 as initial values (model2), and evaluated their performance. As a result, the detection rates of model1 and 2 were much higher than model0. However, small amplitudes are often missed when multiple seismic waves are in a time window to determine the phase arrival. Therefore, we created training data with two waveforms in the one-time window, retrained the model using the data, and successfully detected waveforms that would have been missed previously. In addition, it was found that more events were detected by setting the threshold to a low value for detection, increasing the number of detections, and filtering by phase association and hypocenter location.
Surface glia predominantly contribute to the development of ALS/FTD in Drosophila model
Authors: Snow Brittany Anne , Stevenson Ciara Crowley , Kaur Jasdeep , Lee Seung Gee , Wei Yanan , Miao Hongyu , Kim Woo Jae 
Published: November 2022

Abstract
Backgrounds
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disorder characterized by motor neuron degeneration in the primary motor neurons. C9orf72 repeat expansion mutation is the most prevalent genetic causes of ALS/FTD. Due to the complexity of ALS, there has been no successful therapy for the condition. The traditional neurocentric concept of ALS derives in part from the assumption that the degradation of motor neuron (MN) cells in ALS is driven by cell-autonomous mechanisms, however, recent research has focused on the non-cell-autonomous pathogenic mechanisms such as glial, immune cells and blood-brain barriers participate in the degeneration of MNs in ALS. Drosophila melanogaster is widely used as a genetic model for ALS, giving essential mechanistic data on disease onset and development.
Methods
Using newly developed genetic tools to individually mark each subtype of the adult glial system in the fruit fly, we demonstrate that surface glia is the major and the only glial subtypes for the pathogenesis of C9orf72-mediated ALS/FTD.
Results
The surface glia of flies is the most critical of the six different subtypes of fly glia when it comes to developmental toxicity as well as anomalies in adult locomotion and lifespan. The fact that the expression of DPR in surface glia did not result in the death of neurons or glia in the CNS (Fig. 10) lends credence to the hypothesis that C9orf72-mediated defects in adult physiology are not caused by deficiencies only in the CNS.
Conclusion
Therefore, understanding the non-cell autonomous pathogenic pathways in ALS requires an understanding of surface glia.
The construction of patient quality management model in oral Post Anesthesia Care Unit in China：A grounded theory approach
Authors: Zhang Qi , Tang Heshu , Yao Zhiqing , Han Wei 
Published: November 2022

Abstract
Background
Nowadays, people have paid more and more attention to the health-related quality of life after oral surgery anesthesia. As a common feature of patient quality management, it can effectively reduce the risk of postoperative complications and death in oral Post Anesthesia Care Unit (PACU). Still, little is known about the management model in oral PACU, especially in China. The purpose of this study is to explore the management elements of patient quality management in the oral PACU, and to construct the management model.
Methods
Using Strauss and Corbin's grounded theory method, medical staff(n = 12) from oral PACU of a tertiary stomatological hospital were interviewed by semi-structured interviews from March to June, 2022. With the help of QSR NVivo 12.0 qualitative analysis tool to collect and analyze data using a procedural grounded theory paradigm.
Results
In the end, the patient quality management model of oral PACU could be summarized into three themes: three of the core team members: stomatological anesthesiologists, stomatological anesthesia nurses and nursing administrators. Three of the main functions of the team: education and training, patient care and quality control. Four of the team operation processes: analysis, plan, do, check.
Conclusion
The patient quality management model of the oral PACU is helpful for the professional identity and career development of stomatological anesthesia staff in China, which can accelerate the professional development of oral anesthesia nursing quality. According to the model, the patient's pain and fear will decrease and safety and happiness will increase in oral PACU. It can make contributions to the theoretical research and clinical practice in the future.
Decreased serum MMP-9/TIMP-1 ratio in patients with non-traumatic osteonecrosis of the femoral head after vascularized iliac bone grafting
Authors: Li Guopeng , Ji Fengxuan , Guo Wenchao , Wei Biaofang 
Published: November 2022

Abstract
Background Matrix metalloproteinase-9 (MMP-9) and tissue inhibitor of metalloproteinases-1 (TIMP-1) are involved in the pathological mechanism of osteonecrosis of the femoral head (ONFH). This study aimed to investigate the relationship between serum MMP-9, TIMP-1, and MMP-9/TIMP-1 ratio and disease severity in patients with nontraumatic ONFH. Methods An enzyme-linked immunosorbent assay (ELISA) was used to measure Serum levels of MMP-9 and TIMP-1 in 102 patients with ONFH and 96 healthy individuals and 16 FICAT stage 2 patients undergoing vascularized iliac grafting in the postoperative period (1 week ,1 month, 2 month, and 3 month) Results The serum MMP-9 levels and the MMP-9/TIMP-1 ratio were significantly increased in patients with ONFH compared to normal controls, and TIMP-1 levels did not differ between the two groups. Serum MMP-9 levels and MMP-9/TIMP-1 ratio were positively correlated with FICAT stage and VAS, and negatively correlated with HHS score. Compared with the preoperative period, patients with vascularized iliac grafting had lower VAS scores, higher HHS scores, and significantly lower serum MMP-9/TIMP-1 ratios.ROC curve analysis indicated that decreased serum MMP-9/TIMP-1 ratio could be a decent biomarker with regard to monitoring improved condition in patients with ONFH after vascularized iliac grafting. Conclusions We hypothesize that increased MMP-9 expression and imbalance in the MMP-9/TIMP-1 ratio play a role in the development of ONFH and correlate with the severity of ONFH. measurement of MMP-9 and MMP-9/TIMP-1 can be a useful tool in order to evaluate the bone remodelling processes after vascularized iliac grafting in patients with ONFH.
Modeling daily suspended sediment load of rivers using artificial intelligence approaches
Authors: Mohammad Shabani 
Published: November 2022

Abstract
Knowing the amount of suspended sediment loda (SSL) carried by rivers is an important factor in watershed management. Hence, it is necessary to measure or estimate its amount accurately. In this paper, it was attempted to apply three artificial intelligence approaches including artificial neural network (ANN), artificial neural network combined with particle swarm optimization (ANN-PSO) and long short-term memory (LSTM) to predict the daily SSL, using the data of Jamal-Beig hydrometric station in Kharestan watershed, Fars province, Iran. To achieve this goal, the daily data of SSL (Qs) and flow (Qf) were collected during 30 years (1992-2020). Eighty percent of data was considered for the training phase and 20% for the validation phase. The performance of the models was evaluated using the RMSE, R, NSE and PBIAS criteria according to the estimated and measured SSL values. The results showed that the ANN-PSO model with lower values of PBIAS = -1.048% and RMSE = 26.494 ton/day and high values of NSE = 0.827 and R = 0.912 provides the best performance compared to ANN and LSTM models for estimating daily SSL in Kharestan watershed.
Ophthalmic artery Doppler in the complementary diagnosis of preeclampsia: a systematic review and meta-analysis
Authors: Melo Pollyanna , Roever Leonardo , Mendonça Tânia M. S. , Costa Fabrício Silva , Rolnik Daniel Lorber , Diniz Angélica L Debs 
Published: November 2022

Abstract
Objective: To evaluate the accuracy of different parameters of the ophthalmic artery Doppler (OAD) in the complementary diagnosis of preeclampsia (PE).
Methods: This meta-analysis adhered to the PRISMA guidelines. To investigate the mean difference in OAD values, peak systolic velocity (PSV), end-diastolic velocity (EDV), second systolic velocity peak (P2), resistance index (RI), pulsatility index (PI), and peak ratio (PR), between PE cases (overall and according to severity) and controls, random-effects meta-analyses were conducted for each Doppler parameter, with overall PE and mild and severe PE subgroups. Diagnostic performance and heterogeneity were evaluated with summary receiver operating characteristic (sROC) curves and 95% confidence intervals obtained with bivariate models.
Results: Eight studies stratified the results into mild and severe or late and early PE, involving 1,425 pregnant women. PR and P2 had better diagnostic performance than the other indexes, with the PR of AUsROC at 0.885, the sensitivity of 84%, and specificity of 92%, with a low false-positive rate of 0.08 and the P2 with AUsROC of 0.926, the sensitivity of 85% and specificity of 88%. RI, PI, and EDV showed good performance and consistency across studies but lower AUsROC values of 0.833, 0.794, and 0.772, respectively.
Conclusion: Ophthalmic artery Doppler is a complementary tool with good performance for the diagnosis of overall and severe preeclampsia, with high and best sensitivity and specificity when using PR and P2 parameters.
Management of High Output Enterocutaneous Fistula Due to Richter’s Hernia After Gastric Bypass: Video Demonstration
Authors: Aguilar-Espin Francisco MD , Barba-Jaramillo Erika Diana , Patricia Sánchez-Muñoz Martha , Susana Camba-Gutiérrez Ileana 
Published: November 2022

Abstract
Introduction: The increase in laparoscopic surgery in patients with obesity increases the incidence of trocar site hernia (TSH). Therefore, TSH represents a risk for the development of Richter’s Hernia (RH).
Methods: We present the unusual case of a postoperative Gastric Bypass patient complicated with a high output enterocutaneous fistula through a trocar site wound.
Results: The Laparoscopic surgery consists of an RH reduction, enterotomy, and repair of the preperitoneal space.
Conclusion: RH complicated by high-output enterocutaneous fistula has not been previously reported. It is essential to close the preperitoneal space in bariatric surgery to avoid these complications.
New prebiotic index of foods based on gut microbiome health index (GMHI) using case studies of commercial prebiotics analyzed by in vitro fecal fermentation
Authors: Han Nam Soo , Lee Dong Hyeon , Seong Hyunbin , Chang Daniel , Gupta Vinod , Kim Jiseung , Cheon Seongwon , Kim Geonhee , Sung Jaeyun 
Published: November 2022

Abstract
Measuring prebiotic activities of foods on human microbiome and providing dietary guidelines on one’s health status are an emerging research topic. However, it is difficult to directly compare different foods using the prebiotic index (PI) proposed in 2003 to determine their prebiotic activities. This ambiguity can be resolved with the gut microbiome health index (GMHI), newly built in 2020, using a consortium of 50 microbial species associated with human health. As a translational application of this index, we used this formula to predict the PI of five commercial prebiotics, fructooligosaccharides (FOS), galactooligosaccharides (GOS), xylooligosaccharides (XOS), inulin (IN), and 2`-fucosyllactose (2FL), using in vitro human fecal fermentation. To calculate the GMHI-based PI values, microbial community changes were analyzed at the species level using shotgun sequencing during the fermentation of the prebiotics. As a result, the five compounds exerted a prebiotic effect, increasing the abundance of health-prevalent species, such as Bifidobacterium adolescentis and decreasing health-scarce species. In this context, the GMHI of prebiotics increased after 24 h, but that of the control group without carbon sources decreased. GMHI was highest in the order of IN (0.48 ± 0.06), FOS (0.47 ± 0.03), XOS (0.33 ± 0.02), GOS (0.26 ± 0.02), and 2FL (0.16 ± 0.06), which more accurately reflects the prebiotic effect than PI. Additionally, GMHI stratified the prebiotics more effectively than ecological metrics analyses, such as Shannon diversity, species richness, species evenness, and the inverse Simpson diversity index. This study demonstrates that GMHI-based PI can be used to measure prebiotic activities of several bifidogenic oligosaccharides and perhaps predict the health-beneficial effects of diets after collecting substantial amounts of population-scale meta-datasets.
Model experiment research on HPTL anchoring technology for coal- rock composite roof in deep roadway
Authors: Xie Zhengzheng , Li Yongle , Zhang Nong , He Zhe , Cao Chuang , Li Wei 
Published: November 2022

Abstract
Since the western region of China, which is typical of extraordinary resource endowments, has gradually emerged as the major mining zone in China, the mining of thick coal seams and roadways with coal-rock composite roof have become more and more common in this region. However, it is extremely difficult to realize safe and effective maintenance and control of such roadways due to the differences in natural endowments of coal-rock masses. With the roadway with coal-rock composite roof of Hulusu Coal Mine in western China as the engineering background, experiment research on large-scale similarity model was conducted through comprehensive measures such as the pneumatic loading system, the surrounding rock stress monitoring system, the roadway deformation monitoring system, the bolt load monitoring system, and the displacement field monitoring system in this paper. According to the results of the experiment, the control effects of the three support systems on the roadway with coal-rock composite roof were significantly different. When the single support of short anchor bolts was applied, the comparatively low initial anchor-hold failed to constrain the initial micro deformation of the roof. Consequently, wide-range fractures of the roof were triggered at a loading pressure of 0.8 MPa. In the meanwhile, the deep surrounding rocks witnessed a downward inflection point in stress, accompanied by the possibility of the collapse of the thin-layer anchorage zone at any time. As for the support combining both short anchor bolts and long anchor cables, though a reinforced effect on the bolt anchorage zone could be achieved with the help of the cables, the active reinforcement capacity of the bolt was limited. The bolt anchorage zone was the first to be damaged at a loading pressure of 0.9 MPa, which would subsequently affect the effective bearing capacity of the deep surrounding rocks. In the application of the single support of high-strength long anchor bolts, the long bolts with high pre-tightening force were able to lock multiple groups of coal-rock strata to form a thick-layer anchorage bearing structure capable of withstanding a load as high as 1.0 MPa. The crash and collapse of the coal wall eventually caused the subsidence of the roof. Based on the intense dynamic load experiment and the feedbacks of engineering application outcomes in the field, it was concluded that the high-pretension thick-layer (HPTL) anchoring technology can effectively constrain the deformation of roadways with coal-rock composite roof with favorable application outcomes.
Isolation and identification of mercury-tolerant bacteria LBA119 from molybdenum-lead mining soils and their removal of Hg2+
Authors: Wang Hui , Yao Hanyue , Ji Jiangtao , Tan Aobo , Song Yang , Chen Zhi 
Published: November 2022

Abstract
Aims: To screen heavy metal-tolerant strains from heavy metal-contaminated soil in mining areas and determine the tolerance of the strains to different heavy metals and their removal rates through experiments.
Methods: Mercury-resistant strain LBA119 was isolated from mercury-contaminated soil samples in Luanchuan County, Henan Province, China.The strain was identified by Gram staining, physiological and biochemical tests, and 16S rDNA sequences.The LBA119 strain showed good resistance and removal rates to heavy metals such as Pb2+, Hg2+, Mn2+, Zn2+, and Cd2+ by tolerance tests under optimal growth conditions. resistance and removal rate. The mercury-resistant strain LBA119 was applied to mercury-contaminated soil to determine the ability of the strain to remove mercury from the soil compared to mercury-contaminated soil without bacterial biomass.
Results: In Luanchuan County, Henan Province, soil samples contaminated with mercury were used to isolate the mercury-resistant strain LBA119. The strain was gram-negative with round bacilli but showed no spores after Gram staining, physiological and biochemical tests, and 16S rDNA sequence analysis.Under scanning electron microscopy, the size of a single bacillus was approximately 8 × 13 μm. The strain was identified as Bacillus (presumably the Bacillus megaterium strain). A study of heavy metal tolerance found that the strain was highly resistant to mercury, with a minimum inhibitory concentration (MIC) of mercury reaching 32 mg/L. Under a 10 mg/L mercury environment, the optimal inoculation amount, pH, temperature, and salt concentration of the LBA119 strain were 2%, 7, 30 °C, and 20 g/L, respectively. In the 10 mg/L Hg2+ LB medium, the total removal rate, volatilization rate, and adsorption rate at 36 h were 97.32%, 89.08%, and 8.24%, respectively. According to tolerance tests, the strain showed good resistance to Pb2+, Mn2+, Zn2+, Cd2+, and other heavy metals. When the initial mercury concentration was 50 mg/L and 100 mg/L, compared with the mercury-contaminated soil that contained LB medium without bacterial biomass, LBA119 inoculation increased 15.54-37.67% after 30 days of culture.
Conclusion:This strain shows high bioremediation potential for mercury-contaminated soil.
Long non‑coding RNA LINC00460 contribute as a potential prognostic biomarker through oncogenic role with ANXA2 in colorectal polyps
Authors: Hosseini Farzaneh alsadat , Rejali Leili , Zabihi Mohammad Reza , Salehi Zahra , Abkenar Elahe Daskar , Taraz Tannaz , Fatemi Nayeralsadat , Hashemi Mehrdad , Aghdaei Hamid Asadzadeh , Mojarad Ehsan Nazemalhosseini 
Published: November 2022

Abstract
Background: Long intergenic non-coding RNA 460 (LINC00460) as a potential oncogene and Annexin A2 (ANXA2) as a promoter in different cancer progression processes was considered. A significant relationship between the LINC00460 and ANXA2 has been recently discovered in colorectal cancer (CRC). Therefore, defining molecular biomarkers accompanied by lesion histopathologic features can be a suggestive prognostic biomarker in precancerous polyps. This study aimed to investigate the elusive expression pattern of ANXA2 and LINC00460 in polyps.
Materials and methods: The construction of the co-expression and correlation network of LINC00460 and ANXA2 was plotted. LINC00460 and ANXA2expression in 40 colon polyps was quantified by reverse transcription-real-time polymerase chain reaction. The receiver operating characteristic (ROC) curve was designed for distinguishing the high-risk precancerous lesion from low-risk. Further, bioinformatics analysis was applied to find the shared MicroRNA-Interaction-Targets (MITs) between ANXA2 and LINC00460, and the associated pathways.
Results: ANXA2 has a high co-expression rank with LINC00460 in the lncHUB database. Overexpression of ANXA2 and LINC00460 was distinguished in advanced adenoma polyps compared to the adjacent normal samples. The estimated AUC for ANXA2 and LINC00460 was 0.88-0.85 with 93%-90% sensitivity and 81%-70% specificity. In addition, eight MITs were shared between ANXA2 and LINC00460. Enrichment analysis detected several GO terms and pathways, including HIF-1α associated with cancer development.
Conclusion: In conclusion, the expression of the ANXA2 and LINC00460 were significantly elevated in pre-cancerous polyps, especially in high-risk adenomas. Collectively, ANXA2 and LINC00460 may be administered as potential prognostic biomarkers in patients with a precancerous large intestine lesion as an alarming issue.
Design, synthesis and biological evaluation of esculetin derivatives as potential anti-HBV agents
Authors: Ye Zhen , Zhao Tong-Shi-Yao , Li Shan-Bin , Zhou Xian-Li , Luo Qin , Qin Jiang-Ke , Liang Cheng-Qin , Wang Ping , Ge Guang-Bo 
Published: November 2022

Abstract
A series of esculetin derivatives have been synthesized for the aim of exploring their anti-hepatitis B virus (anti-HBV) activity. In vitro anti-HBV activity was performed against HepG2.2.15 cells by using Elisa kit and cytotoxicity was determined by 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyl tetrazolium bromide (MTT) assay with lamivudine as the positive control. The results demonstrated that several compounds showed moderate anti-HBV activity, while introduction of morpholine groups could significantly inhibit the expression of hepatitis B e antigen (HBeAg) and introduction of 2-methylimidazole group could significantly inhibit the expression of Hepatitis B surface antigen (HBsAg). Among all tested compounds, compound 4a demonstrated the best anti-HBeAg activity (IC50 = 15.8 ± 4.2 µM), while compound 6d demonstrated the best anti-HBsAg activity (IC50 = 21.4 ± 2.8 µM). Compounds 6b and 6c showed moderate anti-HBV activity and HBsAg inhibition. Compounds 4b showed moderate anti-HBV activity and inhibitory effect on HBeAg. In addition, compounds 4a, 4c, 4d, 6b, 6c and 6d showed improved metabolic stability. This study provides useful guidance for the discovery of anti-hbv drugs, which merits further investigation.