bluuebunny/crossref_metadata_2025_split huggingface dataset:
Binge-eating and Sodium Bicarbonate: A potent combination for gastric rupture in adults. Two case reports and a review of literature
Authors: Han You Jin , Roy Susmit , Siau Ashley Maria Pei Ling , Majid Adeeb 
Published: June 2022

Abstract
Background – Disordered eating behaviour including binge-eating often results in significant medical conditions, which are at times fatal. It can result in acute gastric dilatation which can lead to ischemic necrosis and stomach rupture. Dyspepsia and bloating are common symptoms following binge eating. Patients commonly use over-the-counter medications like sodium bicarbonate or home remedies for relief. However, in very rare, reported cases, sodium bicarbonate has been attributed to cause acute gastric dilatation and spontaneous gastric rupture instead. Methods – We report two cases of spontaneous gastric rupture following consumption of sodium bicarbonate containing antacids after a large meal, and a review of the literature of similar cases. Results – A total of 36 cases were identified. Approximately half of the cases (47.2%) were correlated with eating disorders, with higher prevalence in females (69%) and a very high mortality rate (41.6%). Amongst the 36 cases, sodium bicarbonate ingestion was associated with 10 cases. The lesser curvature (36.1%) and anterior wall (33.3%) are the most common sites of rupture. Associated causes include binge-eating, gas release from sodium bicarbonate, gastric content fermentation, proximal and distal outlet obstruction, and muscular atony. Discussion – Sudden distension and impaired emptying mechanism of the stomach is necessary for spontaneous gastric rupture to occur. Acute gastric dilatation with perforation requires definitive surgical management. There should be a low threshold of suspicion for patients presenting with severe abdominal pain and abdominal distension following an episode of binge-eating. There is a need for patient education around the use of over-the-counter medications or home remedies.
Oral Health and Depression among Older Adults in Urban China: A Moderated Mediation Model Analysis
Authors: Sun Qian , Wang Youwei , Chang Qingsong 
Published: June 2022

Abstract
Background
This study explored the association between oral health and depression occurs via daily dietary satisfaction as a mediator, and that body mass index moderates the path between daily dietary satisfaction and depression.
Methods
Data for this research were derived from a community survey adopting quota sampling in the cities of Tianjin and Shijiazhuang in mainland China in 2020 (N = 781). The moderated mediation model was tested by using bootstrapping with resampling strategies, and the Johnson-Neyman technique was used to visualize the moderating effect of body mass index.
Results
A significant negative association between oral health and depression has been indicated (B=-0.22, SE = 0.11, 95%CI [-0.44, -0.01]), and dietary satisfaction partially mediated the relationship between oral health and depression (B=-0.04, SE = 0.02, 95%CI [-0.09, -0.002]). The path was moderated by body mass index, and the effect of dietary satisfaction on depression was much greater in people with relatively low body mass index.
Conclusions
This study present evidence for policymakers and researchers that strategies to enhance oral health and daily dietary satisfaction could be important for preventing depression in Chinese older adults, and especially for the relatively fitter older groups with lower body mass index.
An Efficient Composite Cloud Service Model using Multi-Criteria Decision-Making Techniques
Authors: Saha Munmun , Panda Sanjaya Kumar , Panigrahi Suvasini , Taniar David 
Published: June 2022

Abstract
Recent advancements in information technology (IT) have made cloud computing one of the most prominent technologies. It is most favor- able for the bundle of services that it provides to its users. Since there is a wide range of cloud service providers (CSPs) with various services, it is chal- lenging for the user to select a CSP that can meet all of its requirements. In this paper, we propose a composite cloud service (CCS) model, which is handled by a cloud agent, to identify the best cloud services/criteria from a set of CSPs by considering the objective and subjective opinions collected from the cloud users’ feedback and reviews. Note that the cloud agent is an intermediary between the users and CSPs. Then the agent recommends the CSPs to assemble the identified services into unified group services to fulfill the users’ requirements. Our model calculates the integrated objective and subjective weight of alternatives for a set of criteria and determines the best alternative for each criterion. For this, the application of two multi-criteria decision-making (MCDM) techniques, namely method based on the removal effect of criteria (MEREC) and extended step-wise weight assessment ra- tio analysis (ESWARA), are used to calculate the objective and subjective weights, respectively. The proposed model is compared with the analytic hier- archy process-technique for order of preference by similarity to ideal solution (AHP-TOPSIS), TOPSIS-VlseKriterijuska Optimizacija I Komoromisno Re- senje (VIKOR), and SWARA-VIKOR to show its effectiveness.
Construction feasibility evaluation for potential ecological corridors under different widths: A case study of Chengdu in China
Authors: Xie Yusong , Wang Qianna , Xie Mengqing , Shibata Shozo 
Published: June 2022

Abstract
Accelerating urbanization has led to shrinkage of natural habitats, intensification of landscape fragmentation, reduction of cropland and forest areas, and degradation of biodiversity. Against this background, considering ecological corridors are important linear structures connected habitat patches, thereby helping to enhance urban ecological resilience and protect biodiversity. A growing number of researches focus on the identification of potential ecological corridors and evaluate the relative importance of such corridors on the effects of connected habitat patches. However, among the evaluation process, previous studies ignored the linear structures of corridors, didn’t explore corridor width and construction form differences. Accordingly, this study used minimum cumulative resistance model (MCRM) to identify potential ecological corridors. After that, we designed the construction feasibility evaluation system for evaluating the relative importance of such corridors with different widths, and applied it with the rapidly expanding city of Chengdu in western China. The results show that internal characteristics of potential ecological corridors vary greatly under different widths. Using the construction feasibility evaluation system, we found that more than 75% of corridors in Chengdu are difficult to construct, and construction sequence has obvious differences under different widths, besides provided a reference for construction and the selection of width for potential corridors in Chengdu. This research highlights the importance of width selection in corridor evaluation, the construction feasibility evaluation provided reference information on identification, analysis, construction sequence and construction practices for urban ecological network spatial planning.
Quantification of PM 2.5 bound Polycyclic Aromatic Hydrocarbons (PAHs) and Modelling of Benzo[a]pyrene in the Ambient Air of Automobile Workshops in Benin City
Authors: Okuo James M. , Onaiwu Gregory E . 
Published: June 2022

Abstract
The activities of artisans conducted regularly in automobile workshops had been observed to generate pollutants that are not limited to particulate matter (PM), Polycyclic Aromatic Hydrocarbons (PAHs). Thus, this research provided data on the quantification of PAHs coupled with the building of a predictive statistical model for the prediction of benzo[a]pyrene (BaP) in Benin City. The City was divided into four zones, namely North West (NW), North East (NE), South East (SE) and South West (SW) and a total of 180 representative samples were collected from artisans’ workshops in both wet and dry seasons using Apex2IS Casella standard pump fitted with conical inhalable sampling (CIS) head at a flow rate of 3.5L/min for 8 hours. Meteorological parameters were collected simultaneously with the PM2.5. PAHs were extracted and quantified using GC-FID. The annual average concentration of the total PAHs bounded to PM2.5 for NW, NE, SE and SW zones were 519.51 (638.78), 109.16 (169.16), 158.89 (178.40) and 77.65 (89.60) ng/m3for both wet and dry season respectively. A generalized linear model (GLiM) was used to develop a predicted model for the prediction of (BaP) air concentrations in the NW zone. The results of the selected model among the five trained models obtained with data from NW sampling sites are R2 = 0.792 and Adjusted R2 = 0.746 for model 1 with an overall p-value of 0.01. The proposed model established an approximation to estimate Benzo[a]pyrene (BaP) concentrations in the urban automobile workshops’ atmospheres with a reasonable accuracy of 60–72%.
Circ_0072088 mediates hepatic fibrosis renders epithelial to mesenchymal transition through miR-330-3p/CDK1 axis in AML12 hepatocytes
Authors: Liu Mengmeng , Xing Yue , Jin Yao , Liu Shuang , Teng Xue , Zhi Duo , Zhong Lu , Dong Mei 
Published: June 2022

Abstract
Hepatic fibrosis was one of the causes to hepatocellular cancer (HCC), owing to limited therapeutic options. And hepatocytes can induce liver fibrogenesis via epithelial-mesenchymal transition (EMT). Multiple circRNAs exert critical role in the occurrence of liver fibrosis via working as microRNA (miRNA) sponges. Circ_0072088 is upregulated in hepatocellular cancer (HCC) and promote proliferation, migration of HCC cells. However, the potential research mechanism for circ_0072088 action against the fibrotic progression remain still unknown. The treatment of AML12 hepatocytes with TGF-β1 contributed to dramatically increased in the levels of circ_0072088. Additionally, in terms of mechanism, circ_0072088 was authenticated to function as miR-330-3p sponge, not only noticeable increase EMT, but also induced fibrosis in AML12 hepatocytes. MiR-330-3p could weaken the roles of circ_0072088 acceleration. Moreover, we proved that CDK1, a miR-330-3p target, was time-dependently augmented in the TGF-β1 treated AML12 hepatocytes, and its overexpression weakens the miR-330-3p regulatory effects.Our findings provided a unique role of the circ_0072088 mediates hepatic fibrosis renders epithelial-mesenchymal transition at least partially through miR-330-3p/CDK1 axis, thus suggesting its tremendous therapeutic potential in the treatment of liver diseases.
The nutritional metabolic process of the dung beetle Phelotrupes auratus depends on the host animal
Authors: Sakamoto Takuma , Sinzeki Shun , Kakinuma Shunsuke , Ishihara Eri , Tabunoki Hiroko 
Published: June 2022

Abstract
Background: The dung beetle Phelotrupes auratus is a holometabolous insect belonging to the order Coleoptera, and it is widely distributed in Japan. The P. auratus habitat depends on host herbivore animals. P. auratus eats the dung of the host herbivores and carries it underground for its young. In this process, herbivore droppings disappear from the ground, not only keeping the ground hygienic but also maintaining good soil conditions for plant growth. In this way, a rich ecosystem is maintained. In recent years, the population of P. auratus has decreased, and the main cause has been the decrease in grazing land. It seems that Japanese dung beetles are mainly dependent on herbivores for nutrient sources. However, the physiological relationship between host herbivores and P. auratus has not been well investigated. Here, we investigated the nutritional metabolism system of P. auratus by performing whole gene expression analysis of individuals collected from two areas where the ecosystem is occupied by different specific herbivores.Results: We obtained 209,123 transcripts from P. auratus from Nara Park and Cape Toi and identified 2,592 differentially expressed genes in the fat bodies of the Nara Park and Cape Toi groups. We annotated P. auratus transcripts using Homo sapiens and Drosophila melanogaster genes as references; 36.6% of P. auratus transcripts were assigned to H. sapiens genes, and 24.7% of P. auratus transcripts were assigned to D. melanogaster genes. Therefore, we chose H. sapiens genes for P. auratus transcript annotation. Principal component analysis and gene set enrichment analysis revealed that the nutritional metabolism of P. auratus from Cape Toi might differ from that of P. auratus from Nara Park.Conclusion: We analyzed the nutritional metabolism system of P. auratus from Cape Toi and Nara Park and found that the characteristics of the nutritional metabolism process might depend on the plants consumed by the host herbivore. Our findings will contribute to elucidating the relationships among habitat plants, herbivores, and dung decomposers and may aid in the maintenance of sustainable land health cycles.
Temporal-based Swin Transformer Network for Workflow Recognition of Surgical Video
Authors: Pan Xiaoying , Gao Xuanrong , Wang Hongyu , Zhang Wuxia , Mu Yuanzhen , Bi Manrong , He Xianli 
Published: June 2022

Abstract
Purpose Surgical workflow recognition has emerged an important part of computer-assisted intervention systems for the modern operating room, and at the same time a very challenging problem. For sequence data, modelling of temporal information is essential for accurate identification. However, current phase recognition methods based on the CNN framework are not very adequate for the extraction of long-range dependencies. Methods Therefore, to better capture long-range dependencies, we propose a Temporal-based Swin Transformer Network (TSTNet) for the surgical video workflow recognition task. TSTNet contains two main parts: the Swin Transformer and the LSTM. The Swin Transformer incorporates the attention mechanism to encode remote dependencies and learn highly expressive representations. The LSTM is capable of learning longrange dependencies and is used to extract temporal information. The TSTNet organically combines the two components to extract spatiotemporal features that contain more contextual information. In particular, based on a full understanding of the natural features of the surgical video, we propose a priori revision algorithm (PRA) using a priori information about the sequence of the surgical phase. This strategy optimises the output of TSTNet and further improves the recognition performance. Results We have conducted extensive experiments using the Cholec80 dataset to validate the effectiveness of the TSTNet-PRA method. Our method achieves excellent performance on the Cholec80 dataset and can achieve an accuracy of 93.5%. This greatly exceeds the state-of-the-art methods. Conclusion By modelling remote temporal information and multi-scale visual information, we proposed the TSTNet-PRA method. It was evaluated on a large public dataset, showing high recognition capability superior to other spatiotemporal networks.
Enzymatic basis of the Fc-selective intra-chain disulfide reduction and free thiol content variability in an antibody produced in Escherichia coli
Authors: Baginski Tomasz K. , Veeravalli Karthik , McKenna Rebekah , Williams Christopher , Wong Katherine , Tsai Christina , Hewitt Daniel , Mani Karthik , Laird Michael W. 
Published: June 2022

Abstract
Background: Escherichia coli (E. coli) is a promising host for production of recombinant proteins (including antibodies and antibody fragments) that don’t require complex post-translational modifications such as glycosylation. During manufacturing-scale production of a one-armed antibody in E. coli (periplasmic production), variability in the degree of reduction of the antibody’s disulfide bonds was observed. This resulted in variability in the free thiol content, a potential critical product quality attribute. This work was initiated to understand and prevent the variability in the total free thiol content during manufacturing. Results: In this study, we found that the reduction in antibody’s disulfide bonds was observed to occur during homogenization and the ensuing homogenate hold step where in the antibody is exposed to redox enzymes and small molecule reductants present in homogenate. Variability in the downstream processing time between the start of homogenization and end of the homogenate hold step resulted in variability in the degree of antibody disulfide bond reduction & free thiol content. The disulfide bond reduction in the homogenate is catalyzed by the enzyme disulfide bond isomerase C (DsbC) and is highly site-specific and occurred predominantly in the intra-chain disulfide bonds present in the Fc CH2 region. Our results also imply that lack of glycans in E. coli produced antibodies may facilitate DsbC accessibility to the disulfide bond in the Fc CH2 region, resulting in its reduction. Conclusions: During E. coli antibody manufacturing processes, downstream processing steps such as homogenization and subsequent processing of the homogenate can impact degree of disulfide bond reduction in the antibody and consequently product quality attributes such as total free thiol content. Duration of the homogenate hold step should be minimized as much as possible to prevent disulfide bond reduction & free thiol formation. Other approaches such as reducing homogenate temperature, adding flocculants prior to homogenization, using enzyme inhibitors, or modulating redox environments in the homogenate should be considered to prevent antibody disulfide bond reduction during homogenization and homogenate processing steps in E. coli antibody manufacturing processes.
Application of CNN-LSTM based hybrid neural network in power load forecasting
Authors: Gong Lixiong , Chao Yinkang , Huang Xiao , Chen Jialin 
Published: June 2022

Abstract
Effective prediction of electrical energy consumption, rational formulation of corresponding safety measures, and improvement of the accuracy of power load time series prediction are important guidelines for improving the application and management of electrical energy. In order to accurately predict the electric energy consumption and enhance the applicability of the model. In this paper, we propose a convolutional neural network (CNN) based on electric energy consumption data combined with a long-term short-term memory recurrent neural network (LSTM) for electric energy consumption prediction model, selecting electric energy consumption time series with large samples and large time span. consumption time series, including model structure design, model training, model prediction, and model optimization, to implement the prediction algorithm. By using the minimum objective function as the optimization objective, the Adam optimization algorithm is used to continuously update the weights of the neural network and to tune the network layers and batch size to select the best. The number of layers and batch size are used as parameters of the power consumption prediction model. Finally, the optimized CNN-LSTM prediction model is invoked to predict the electricity consumption in the next time period using the electricity load data of Interconnection LLC (PJM) under the Regional Transmission Organization (RTO) in the United States as an example. The results show that the combined model can achieve 98.94% prediction accuracy and 0.0066 mean absolute error (MAE), all of which are better than other basic models, proving that the combined prediction model has better performance in terms of power load prediction accuracy.
Health outcomes of fruit juice and fruity beverage: a comparative analysis of gut microbiota and metabolomics in rats
Authors: Wang Kewen , Zhao Yang , Xu Lei , Liao Xiaojun , Xu Zhenzhen 
Published: June 2022

Abstract
Background
Diet is foods and drinks regularly consumed, and its regulation is complicated. It is necessary to obtain a practical understanding of which foods and drinks contribute to health and well-being and which are insalubrious. Clear evidence shows that a high intake of fruity beverage (FB) is associated with a higher risk of metabolic syndromes; unlike FB, the health outcome of fruit juice (FJ) intake is still controversial. Here, we aim to reveal the health outcomes of diet intervention (FJ or FB) with system profiling via the interaction of gut microbiota and metabolomics.
Results
Firstly, the glucose, sucrose, fructose, and other bioactive metabolites of FJ and FB were analyzed, and FJ possessed higher sucrose and flavonoids, while FB showed higher glucose and fructose. Secondly, C0 was set as the control group on Day 0, and a 4-week diet invention was performed to control, FJ-intake, and FB-intake groups with normal saline, FJ, and FB, respectively. Then, disparate trends in the metabolic syndrome of FJ-intake and FB-intake groups were revealed through the diet-microbiome-metabolic pathway axis. FJ improved alpha diversity and decreased the F/B ratio of gut microbiota as well as prevented insulin resistance with the reduced food intake in the FJ-intake group. However, FB possessed unchanged microbial diversity and enhanced F/B ratio, causing insulin resistance with renal triglyceride accumulation, increased kidney mass index as well as steadily improved weight change in FB-intake group.
Conclusions
The distinct processing degrees could explain the different FB and FJ intake responses in rats. FB with excess free fructose belongs to ultra-processed foods, while FJ with higher flavonoids belongs to minimally processed foods. We genuinely believe that FJ with a lower processing degree, although naturally contains the similar total amount of 3 main free sugars as FB, could be a healthier drink choice.
Overexpression of CYP11A1 recovers cell cycle distribution in renal cell carcinoma Caki-1
Authors: Ong Hien Thi My , Kim Tae-Hun , Ates Eda , Pyun Jae-Chul , Kang Min-Jung 
Published: June 2022

Abstract
BackgroundClear cell renal carcinoma is commonly known for its metastasis propensity to outspread to other organs and does not exhibit symptoms in the early stage. Recent studies have shown that deficiencies in CYP11A1 expression can lead to fatal adrenal failure if left untreated and are associated with downstream regulation in various cancer types. However, the molecular mechanisms of CYP11A1 and kidney cancer proliferation remain unclear. MethodsNormal and renal carcinoma cell lines (Hek293 and Caki-1) were transfected with CYP11A1 to stimulate overexpression. Cell cycle distribution was investigated using flow cytometry. Related signaling pathways were analysed by western blot. ResultsWe observed that overexpression of CYP11A1 suppressed the expression of cyclin B1 and cell-division cycle 2 but cyclin-dependent kinases 2 and 4 were not affected. Cancer cell migration and invasion were suppressed along with epithelial-intermediate metastatic markers snail and vimentin. In addition, CYP11A1 overexpressed Caki-1 cell line resulting in downregulation of cdc2/cyclinB1 while increasing phosphorylation of cdc25c, an upstream signal related to G2/M arrest. The markers for intrinsic-mitochondrial apoptosis pathway were not significantly altered. We also identified that the C-Raf/ERK/JNK/p38 pathway is an important mechanism for pro-apoptosis in CYP11A1 overexpressed cell-based models. Our results suggest that the disturbed cell cycle arrest distribution in renal cell carcinoma Caki-1 was recovered by the overexpression of CYP11A1 through G2/M arrest and C-Raf/ERK/JNK pathway.ConclusionsOur findings may suggest a promising new therapeutic target to suppress kidney cancer proliferation without affecting normal cells, thus could be used to improve cancer patients’ survival rate.