bluuebunny/crossref_metadata_2025 huggingface dataset:
Dexamethasone attenuates the modulatory effect of the insular cortex on the baroreflex in anesthetized rat
Authors: Tumanova Tatiana S. , Kokurina Tatiana N. , Rybakova Galina I. , Aleksandrov Viacheslav G.
Published: October 2021

The arterial baroreflex (BR) is an important neural mechanism for the stabilization of arterial pressure (AP). It is known that the insular cortex (IC) and other parts of the central autonomic network (CAN) are able to modulate the BR arc, altering baroreflex sensitivity (BRS). In addition, the sensitivity of the BR changes under the influence of hormones, in particular glucocorticoids (GCs). It has been suggested that GCs may influence BRS by altering the ability of the IC to modulate the BR. This hypothesis has been tested in experiments on rats anesthetized with urethane. It was found that microelectrostimulation of the visceral area in the left IC causes a short-term drop in AP, which is accompanied by bradycardia and impairs BRS. The synthetic GC dexamethasone (DEX) did not significantly affect the magnitude of depressor responses but increased BRS and impaired the effect of IC stimulation on the BR. The results obtained confirm the hypothesis put forward and suggest that GC can attenuate the inhibitory effects of the IC on the BR arc, thereby enhancing the sensitivity of the BR.
Recovery strategy of multilayer network against cascading failure
Authors: Lyu Renjian , Zhang Min , Wang Xiao-Juan , Wang Tie-Jun
Published: October 2021

Cascading failure phenomena widely exist in real-life circumstances, such as the blackouts in power networks and the collapse in computer networks. In this paper, we construct a cascading failure model on the multilayer network, taking into account the number of invalid neighbors of nodes, the failure frequency of nodes, the effect between layers, and the percolation process. To minimize network losses caused by the cascading process, we propose a recovery strategy, i.e. repairing some certain clusters formed by ineffective nodes and links. The recovery strategy is discussed in detail, like whether to add links to the network, how many links are needed at least to add, how many layers are demanded to restore, and how to choose the values of [Formula: see text] and restorable threshold [Formula: see text] to improve the network performance. Besides, we theoretically analyze the cascading failure model with recovery strategy by virtue of mean-field approximation and generating function techniques. The theoretical solutions are found to be consistent with experimental results simulated on the ER as well as BA networks. In addition, we also investigate the affecting factors of network robustness. The effects of failure threshold [Formula: see text], base number [Formula: see text], and threshold [Formula: see text] between layers on network behaviors depend on the values of average degree [Formula: see text] and recovery proportion [Formula: see text]. These results may provide particular reference significance for maintaining system security, adjusting the network performance, and enhancing network robustness.
Reproducibility in Evolutionary Computation
Authors: López-ibáñez Manuel , Branke Juergen , Paquete Luís
Published: October 2021

Experimental studies are prevalent in
Evolutionary Computation
(
EC
), and concerns about the reproducibility and replicability of such studies have increased in recent times, reflecting similar concerns in other scientific fields. In this article, we discuss, within the context of EC, the different types of reproducibility and suggest a classification that refines the badge system of the
Association of Computing Machinery
(
ACM
) adopted by ACM
Transactions on Evolutionary Learning and Optimization
(
TELO
). We identify cultural and technical obstacles to reproducibility in the EC field. Finally, we provide guidelines and suggest tools that may help to overcome some of these reproducibility obstacles.
Hypercane
Authors: Jones Shawn M. , Weigle Michele C. , Nelson Michael L.
Published: October 2021

In the Dark and Stormy Archives (DSA) project, we focus on
storytelling
techniques to summarize collections of archived web pages. Since collections can have hundreds or even thousands of
seeds
(initial URLs) and each seed can be recrawled many times, with each version separately maintained, techniques that include information about all members of the collection can be overwhelming. The premise of storytelling is to focus on sampling exemplar pages from the collection, and present them in a social media interface familiar to users. We present
Hypercane
, the tool in the DSA suite responsible for selecting exemplar pages. Hypercane offers eight action statements that can be combined in various ways to customize the sample that is produced. Because of its modular design, Hypercane can also be used to analyze large web archive collections outside of the DSA suite.
Fluid Dynamics of Axial Turbomachinery: Blade- and Stage-Level Simulations and Models
Authors: Sandberg Richard D. , Michelassi Vittorio
Published: October 2021

The current generation of axial turbomachines is the culmination of decades of experience, and detailed understanding of the underlying flow physics has been a key factor for achieving high efficiency and reliability. Driven by advances in numerical methods and relentless growth in computing power, computational fluid dynamics has increasingly provided insights into the rich fluid dynamics involved and how it relates to loss generation. This article presents some of the complex flow phenomena occurring in bladed components of gas turbines and illustrates how simulations have contributed to their understanding and the challenges they pose for modeling. The interaction of key aerodynamic features with deterministic unsteadiness, caused by multiple blade rows, and stochastic unsteadiness, i.e., turbulence, is discussed. High-fidelity simulations of increasingly realistic configurations and models improved with help of machine learning promise to further grow turbomachinery performance and reliability and, thus, help fluid mechanics research have a greater industrial impact.
Intestinal organoids in coculture: redefining the boundaries of gut mucosa ex vivo modeling
Authors: Hentschel Viktoria , Seufferlein Thomas , Armacki Milena
Published: October 2021

All-time preservation of an intact mucosal barrier is crucial to ensuring intestinal homeostasis and, hence, the organism’s overall health maintenance. This complex process relies on an equilibrated signaling system between the intestinal epithelium and numerous cell populations inhabiting the gut mucosa. Any perturbations of this delicate cross talk, particularly regarding the immune cell compartment and microbiota, may sustainably debilitate the intestinal barrier function. As a final joint event, a critical rise in epithelial permeability facilitates the exposure of submucosal immunity to microbial antigens, resulting in uncontrolled inflammation, collateral tissue destruction, and dysbiosis. Organoid-derived intestinal coculture models have established themselves as convenient tools to reenact such pathophysiological events, explore interactions between selected cell populations, and assess their roles with a central focus on intestinal barrier recovery and stabilization.
Multiomic analysis defines the first microRNA atlas across all small intestinal epithelial lineages and reveals novel markers of almost all major cell types
Authors: Shanahan Michael T. , Kanke Matt , Oyesola Oyebola O. , Hung Yu-Han , Koch-Laskowski Kieran , Singh Ajeet P. , Peck Bailey C. E. , Biraud Mandy , Sheahan Breanna , Cortes Josca E. , Gong Huiyu , Sahoo Dipak K. , Cubitt Rebecca , Kurpios Natasza A. , Mochel Jonathan P. , Allenspach Karin , McElroy Steven J. , Ding Shengli , von Moltke Jakob , Dekaney Christopher M. , Tait-Wojno Elia D. , Sethupathy Praveen
Published: October 2021

In this study, first, microRNA atlas (and searchable web server) across all major small intestinal epithelial cell types is presented. We have demonstrated microRNAs that uniquely mark several lineages, including enteroendocrine and tuft. Identification of a key marker of mouse secretory progenitor cells, miR-672, which we show is deleted in humans. We have used several in vivo models to establish miR-152 as a specific marker of Paneth cells, which are highly understudied in terms of microRNAs.
Optimization of long-term cold storage of rat precision-cut lung slices with a tissue preservation solution
Authors: Tigges Jonas , Eggerbauer Florian , Worek Franz , Thiermann Horst , Rauen Ursula , Wille Timo
Published: October 2021

Precision-cut lung slices (PCLS) are used as ex vivo model of the lung to fill the gap between in vitro and in vivo experiments. To allow optimal utilization of PCLS, possibilities to prolong slice viability via cold storage using optimized storage solutions were evaluated. Rat PCLS were cold stored in DMEM/F-12 or two different preservation solutions for up to 28 days at 4°C. After rewarming in DMEM/F-12, metabolic activity, live/dead staining, and mitochondrial membrane potential was assessed to analyze overall tissue viability. Single-cell suspensions were prepared and proportions of CD45+, EpCAM+, CD31+, and CD90+ cells were analyzed. As functional parameters, TNF-α expression was analyzed to detect inflammatory activity and bronchoconstriction was evaluated after acetylcholine stimulus. After 14 days of cold storage, viability and mitochondrial membrane potential were significantly better preserved after storage in solution 1 (potassium chloride rich) and solution 2 (potassium- and lactobionate-rich analog) compared with DMEM/F-12. Analysis of cell populations revealed efficient preservation of EpCAM+, CD31+, and CD90+ cells. Proportion of CD45+ cells decreased during cold storage but was better preserved by both modified solutions than by DMEM/F-12. PCLS stored in solution 1 responded substantially longer to inflammatory stimulation than those stored in DMEM/F-12 or solution 2. Analysis of bronchoconstriction revealed total loss of function after 14 days of storage in DMEM/F-12 but, in contrast, a good response in PCLS stored in the optimized solutions. An improved base solution with a high potassium chloride concentration optimizes cold storage of PCLS and allows shipment between laboratories and stockpiling of tissue samples.
A closed-loop approach to the study of the baroreflex dynamics during posture changes at rest and at exercise in humans
Authors: Taboni Anna , Fagoni Nazzareno , Fontolliet Timothée , Moia Christian , Vinetti Giovanni , Ferretti Guido
Published: October 2021

We hypothesized that during rapid uptilting at rest, due to vagal withdrawal, arterial baroreflex sensitivity (BRS) may decrease promptly and precede the operating point (OP) resetting, whereas different kinetics are expected during exercise steady state, due to lower vagal activity than at rest. To test this, eleven subjects were rapidly (<2 s) tilted from supine (S) to upright (U) and vice versa every 3 min, at rest and during steady-state 50 W pedaling. Mean arterial pressure (MAP) was measured by finger cuff (Portapres) and R-to-R interval (RRi) by electrocardiography. BRS was computed with the sequence method both during steady and unsteady states. At rest, BRS was 35.1 ms·mmHg−1 (SD = 17.1) in S and 16.7 ms·mmHg−1 (SD = 6.4) in U ( P < 0.01), RRi was 901 ms (SD = 118) in S and 749 ms (SD = 98) in U ( P < 0.01), and MAP was 76 mmHg (SD = 11) in S and 83 mmHg (SD = 8) in U ( P < 0.01). During uptilt, BRS decreased promptly [first BRS sequence was 19.7 ms·mmHg−1 (SD = 5.0)] and was followed by an OP resetting (MAP increase without changes in RRi). At exercise, BRS and OP did not differ between supine and upright positions [BRS was 7.7 ms·mmHg−1 (SD = 3.0) and 7.7 ms·mmHg−1 (SD = 3.5), MAP was 85 mmHg (SD = 13) and 88 mmHg (SD = 10), and RRi was 622 ms (SD = 61) and 600 ms (SD = 70), respectively]. The results support the tested hypothesis. The prompt BRS decrease during uptilt at rest may be ascribed to a vagal withdrawal, similarly to what occurs at exercise onset. The OP resetting may be due to a slower control mechanism, possibly an increase in sympathetic activity.
Interpersonal motor synergy: coworking strategy depends on task constraints
Authors: Honarvar Sara , Caminita Mia , Ehsani Hossein , Kwon Hyun Jun , Diaz-Mercado Yancy , Hahn Jin-Oh , Kiemel Tim , Shim Jae Kun
Published: October 2021

To the best of our knowledge, this is the first study to investigate the coworking behavior or IPMS when an additional task constraint is imposed. Our proposed analytical framework quantifies IPMS and allows for investigating variability in offline (i.e., across multiple repetitions) and online (i.e., across time) control, which is novel in coworking research. Understanding variability while performing a task is essential, as repeating a task is not always possible, as in therapeutic contexts.
Forms of explanation and understanding for neuroscience and artificial intelligence
Authors: Thompson Jessica A. F.
Published: October 2021

Much of the controversy evoked by the use of deep neural networks as models of biological neural systems amount to debates over what constitutes scientific progress in neuroscience. To discuss what constitutes scientific progress, one must have a goal in mind (progress toward what?). One such long-term goal is to produce scientific explanations of intelligent capacities (e.g., object recognition, relational reasoning). I argue that the most pressing philosophical questions at the intersection of neuroscience and artificial intelligence are ultimately concerned with defining the phenomena to be explained and with what constitute valid explanations of such phenomena. I propose that a foundation in the philosophy of scientific explanation and understanding can scaffold future discussions about how an integrated science of intelligence might progress. Toward this vision, I review relevant theories of scientific explanation and discuss strategies for unifying the scientific goals of neuroscience and AI.
Ketamine-xylazine anesthesia depth affects auditory neuronal responses in the lateral superior olive complex of the gerbil
Authors: Jing Zhizi , Pecka Michael , Grothe Benedikt
Published: October 2021

We studied how the depth of ketamine-xylazine anesthesia altered response properties of lateral superior olive complex neurons, and auditory brainstem evoked responses. Our results provide direct evidence that anesthesia depth affects auditory neuronal responses and reinforce the notion that both the anesthetics and the anesthesia depth should be considered when interpreting/comparing in vivo neuronal recordings.
Oscillatory entrainment mechanisms and anticipatory predictive processes in children with autism spectrum disorder
Authors: Beker Shlomit , Foxe John J. , Molholm Sophie
Published: October 2021

We examined behavioral and EEG indices of predictive processing in children with ASD to rhythmically predictable stimuli. Although behavioral measures of predictive processing and evoked neural responses were intact in the ASD group, neurophysiological measures of preparatory activity and entrainment were impaired. When sensory events are presented in a predictable temporal pattern, performance and neuronal responses in ASD may be governed more by the occurrence of the events themselves and less by their anticipated timing.
Autophagy triggers endoplasmic reticulum stress and C/EBP homologous protein-mediated apoptosis in OGD/R-treated neurons in a caspase-12-independent manner
Authors: Tian Ying , Wang Liang , Qiu Zhiqiang , Xu Yulun , Hua Rongrong
Published: October 2021

ER stress induced by autophagy mediates caspase-8- and caspase-9-dependent apoptosis pathways by regulating CHOP in neurons exposed to OGD/R. We hypothesized that the autophagy-BiP-CHOP-caspase (8 and 9)-dependent apoptotic signaling pathway at least partly participated in autophagy-induced apoptosis in primary cortical neurons.
DWNet: Dual‐Window Deep Neural Network for Time Series Prediction
Authors: Fan Jin , Huang Yipan , Zhang Ke , Wang Sen , Chen Jinhua , Chen Baiping
Published: October 2021

Multivariate time series prediction is a very important task, which plays a huge role in climate, economy, and other fields. We usually use an Attention‐based Encoder‐Decoder network to deal with multivariate time series prediction because the attention mechanism makes it easier for the model to focus on the really important attributes. However, the Encoder‐Decoder network has the problem that the longer the length of the sequence is, the worse the prediction accuracy is, which means that the Encoder‐Decoder network cannot process long series and therefore cannot obtain detailed historical information. In this paper, we propose a dual‐window deep neural network (DWNet) to predict time series. The dual‐window mechanism allows the model to mine multigranularity dependencies of time series, such as local information obtained from a short sequence and global information obtained from a long sequence. Our model outperforms nine baseline methods in four different datasets.
Real‐Time Analysis of Antiproliferative Effects of Mouthwashes Containing Alcohol, Sodium Fluoride, Cetylpyridinium Chloride, and Chlorhexidine In Vitro
Authors: Ülker Mustafa , Çelik A. C. Tutku , Yavuz Emine , Kahvecioğlu Firdevs , Ülker H. Esra
Published: October 2021

Objectives. In this study, the cytotoxic responses of six different over‐the‐counter mouthwashes on L929 cells were analyzed by two different techniques: the traditional colorimetric tetrazolium‐based reduction assay (MTT) and the modern impedance‐based real‐time cell analysis (RTCA) system to investigate their biocompatibility in vitro. Thus, the investigation of the antiproliferative effects of the specified materials via different techniques is vital to reach this goal. Materials and Methods. First, L929 mouse fibroblasts were exposed to the dilutions of mouthwashes for 2 minutes. After incubation, the tetrazolium reduction method was used to assess the metabolic viability of cells measured by colorimetric MTT assay and morphological inspection of cells was performed via phase‐contrast microscopy. Furthermore, the effect of each mouthwash on the proliferation, morphology, and adhesion of L929 cells was monitored continuously by a noninvasive and label‐free RTCA system for 140 h. Results. Our data showed that all of the mouthwashes had varying cytotoxic effects on fibroblasts compared to the control group in MTT assay. In addition to that, RTCA technology has provided the growth kinetic profiles that can be used to analyze if the treatment is causing antimitotic or DNA‐damaging effect on cells. Thus, analysis via this system can tell us the mechanism of toxicity behind the cell growth inhibition in vitro. Here, we found that only mouthwash 1 moderately maintained the viability of the L929 cells, yet displaying antimitotic effects and the other mouthwashes (mouthwash 2‐mouthwash 6) showed toxicity via DNA‐damaging effects. Conclusions. Of the six types of mouthwash tested, the most biocompatible result was obtained from a mouthwash containing alcohol (i.e., mouthwash 1). On the other hand, sodium fluoride‐ (NaF‐) and cetylpyridinium chloride‐ (CPC‐) containing mouthwash (i.e., mouthwash 2) showed the most cytotoxic effect.
Effect of Executive Dysfunction on Posture Control and Gait after Stroke
Authors: Yu Huixian , Zhang Qianqian , Liu Sihao , Liu Changbin , Dai Pei , Lan Yue , Xu Guangqing , Zhang Hao
Published: October 2021

Objective. The purpose of the study was to observe the effects of executive dysfunction (ED) on gait and postural control during walking after stroke. Methods. In this study, 34 subjects with stroke and ED (8 women and 26 men; age, 55.41 ± 7.89 years; time since stroke onset, 1.3 ± 0.12 months) were recruited. Stroop color-word test (SCWT), 10-meter walk test (10MWT), timed-up-and-go test (TUGT), and gait analysis were evaluated. The correlation among the correct number of Stroop tasks (SCWT-C), the number of time-consuming tasks (SCWT-T), the amount of interference (SIE-M and SIE-T) and posture control, and gait-related parameters was analyzed. Results. The results indicated that SCWT-C was negatively correlated with 10MWT, TUGT, and bilateral symmetry (

P

 < 0.05). However, there was no significant correlation between SCWT-C and stride (

P

 > 0.05). A significant negative correlation was seen between SCWT-C and bilateral symmetry (

P

 < 0.05). There was no significant correlation between SCWT-T and stride (

P

 > 0.05). SCWT-T was positively correlated with TUGT, 10MWT, and bilateral symmetry (

P

 < 0.05). SIE-T was positively correlated with TUGT and bilateral symmetry (

P

 < 0.05). There was no significant correlation between SIE-T and 10MWT or stride (

P

 > 0.05). SIE-M was positively correlated with TUGT and bilateral symmetry (

P

 < 0.05). There was no significant correlation between SIE-T and 10MWT or stride (

P

 > 0.05). Conclusions. ED is closely related to the decline in postural control and the occurrence of falls. In the early phases of stroke rehabilitation, physiotherapists should focus on the patients’ executive function to accelerate the recovery of postural control.
Load Forecasting Method Based on Improved Deep Learning in Cloud Computing Environment
Authors: Zhang Kai , Guo Wei , Feng Jian , Liu Mei
Published: October 2021

For the problems of low accuracy and low efficiency of most load forecasting methods, a load forecasting method based on improved deep learning in cloud computing environment is proposed. Firstly, the preprocessed data set is divided into several data partitions with relatively balanced data volume through spatial grid, so as to better detect abnormal data. Then, the density peak clustering algorithm based on spark is used to detect abnormal data in each partition, and the local clusters and abnormal points are merged. The parallel processing of data is realized by using spark cluster computing platform. Finally, the deep belief network is used for load classification, and the classification results are input into the empirical mode decomposition-gating recurrent unit network model, and the load prediction results are obtained through learning. Based on the load data of a power grid, the experimental results demonstrate that the mean prediction error of the proposed method is basically controlled within 3% in the short term and 0.023 MW, 19.75%, and 2.76% in the long term, which are better than other comparison methods, and the parallel performance is good, which has a certain feasibility.
[Retracted] Design and Analysis of Bridge Inspection System Based on Wireless Communication and Internet of Things Technology
Authors: Sun Haidong , Zhang Zhengtao , Li Peng
Published: October 2021

The continuous development of information technology and various electronic devices has accelerated the process of informatization and digitization, enabling the development and application of the emerging technology of wireless communication and the Internet of Things. Since the continuous occurrence of vicious bridge collapse accidents in China in recent years, the problem of bridge inspection has become a hot topic among the people. At the same time, how to apply wireless communication and the Internet of Things technology to bridge inspection systems has also become a new research topic. This article mainly studies the design and analysis of bridge detection systems based on wireless communication and Internet of Things technology. In order to expand the field of bridge detection and standard management and improve the credibility and reliability of safety problem prediction and evaluation, the bridge detection system will integrate IoT sensing, internet, remote communication, digital signal analysis and processing, big data knowledge mining, big data prediction and other technologies, design and analysis of the main structure of roads and bridges, and other multifaceted knowledge fields and build a professional intelligent digital network based on bridge inspection data collection, monitoring, analysis, evaluation, and early warning. From design to use and maintenance of the bridge, a digital neural network spanning time and space throughout the life cycle is constructed to construct a digital brain with bridge sensing points as neurons. This paper uses high‐power infrared sensor equipment, satellite positioning systems, sensor equipment, and other technical equipment to achieve the purpose of data communication and exchange and realize intelligent positioning, identification, supervision, tracking, and other functions, making the wireless communication and Internet of Things reliable transmission, comprehensive perception, intelligent processing, and other capabilities very effective in the field of bridge inspection. Through the research and analysis of this article, there are more and more bridge inspection systems developed by the Internet of Things and wireless communication technology in China, and the percentage of related equipment used can reach more than 90%. The functions of the bridge inspection system are becoming more and more complete, and the results of the inspection data are also increasing.
Export Technological Sophistication of China: Measurement and Impact Factor
Authors: Fan Peishan
Published: October 2021

What matters for China’s future growth is not the volume of exports, but whether China will continue to enhance the export competitiveness of high-tech products. Using the export data of 25 countries from 1998 to 2019, this paper measures the export technological sophistication of machinery and transport equipment and constructs an empirical model to study the impact factors of export technological sophistication of machinery and transport equipment in China. The results show that the export technological sophistication is not high, although the export volume of machinery and transportation equipment is large. FDI, human capital, and the previous phase of export technological sophistication have a significant positive effect on the technological sophistication of export; however, the abundant natural resource has a significant negative effect. Finally, some countermeasures and suggestions are put forward based on the empirical results.
Research on Teaching Method and Class Evaluation for International Online Teaching
Authors: Qi Min , Meng Hongying
Published: October 2021

The COVID-19 epidemic in 2020 posed a sudden and serious challenge to education where online teachings were adopted, and problems that people had not noticed before were exposed. Based on the experience of international online course and the study of online teaching, the paper focuses on the associated problems and puts forward some solutions. First, based on the performance of current software and hardware used in online teaching, the characteristics of commonly used teaching software have been analysed and compared. Then, efficient combinations of teaching software for complementary advantages are recommended to ensure a high-quality online teaching. Second, problems inside of class existing in online lecturing and learning are studied, and corresponding teaching methods have been explored including the aspects of class interaction design and implementation, alternative method for delivering essential video information, and online class management. Finally, some objective class evaluation criteria are studied in terms of coverage of class content, learning effect of specialized knowledge, and online class interaction. In the end, some feasible solutions are provided, and it can be served as a reference to improve the online teaching.
Comprehensive Analysis of Acetylation-Related lncRNAs and Identified AC099850.3 as Prognostic Biomarker in Non-Small Cell Lung Cancer
Authors: Zhou Junliang , Zhang Mingyan , Dong Huanhuan , Wang Meiqi , Cheng Yue , Wang Shuqing , Ma Wenbo , Xu Hui
Published: October 2021

The present study aimed to analyze the effects of acetylation-related lncRNAs in non-small-cell lung cancer (NSCLC). A total of 399 differentially expressed lncRNAs (DElncRNAs) have been identified between 497 NSCLC tissues and 54 normal tissues in the TCGA database, and 105 of which were correlated with acetylation regulators. By using univariate cox regression analysis and combining it with clinical prognosis information, 12 prognostic-related lncRNAs were selected for the subsequent analysis. The NSCLC patients were divided into two subgroups (cluster 1 and cluster 2) by clustering software, and immunocyte infiltration analysis, microenvironmental analysis, and clinical relevance analysis were performed between the two subgroups. A risk model was also built to further assess the prognosis value of prognostic-related lncRNAs in NSCLC patients. We found that AC099850.3 was significantly higher in both cluster 1 and high-risk subgroups, which may serve as a potential biomarker for the prognosis of NSCLC patients. Then, based on ceRNA competition mechanisms, the pathway enrichment of 105 acetylation-related lncRNAs was conducted by GO and KEGG analyses. We found the acetylation-related lncRNAs were primarily enriched in MAPK and EGFR signaling pathways, which were closely associated with NSCLC development. Finally, we validated the expression levels of AC099850.3 in NSCLC tissues and adjacent non-cancerous tissues and confirmed that AC099850.3 was significantly highly expressed in NSCLC tissues and cells. These results may provide clues for our understanding of the role of acetylation-related lncRNAs and valuable information for future clinical diagnosis and prognosis in NSCLC patients.
Kudzu Resistant Starch: An Effective Regulator of Type 2 Diabetes Mellitus
Authors: Song Xinqi , Dong Huanhuan , Zang Zhenzhong , Wu Wenting , Zhu Weifeng , Zhang Hua , Guan Yongmei
Published: October 2021

Kudzu is a traditional medicinal dietary supplement, and recent research has shown its significant benefits in the prevention/treatment of type 2 diabetes mellitus (T2DM). Starch is one of the main substances in Kudzu that contribute decisively to the treatment of T2DM. However, the underlying mechanism of the hypoglycemic activity is not clear. In this study, the effect of Kudzu resistant starch supplementation on the insulin resistance, gut physical barrier, and gut microbiota was investigated in T2DM mice. The result showed that Kudzu resistant starch could significantly decrease the value of fasting blood glucose and the levels of total cholesterol, total triglyceride, and high‐density lipoprotein, as well as low‐density lipoprotein, in the blood of T2DM mice. The insulin signaling sensitivity in liver tissue was analyzed; the result indicated that intake of different doses of Kudzu resistant starch can help restore the expression of IRS‐1, p‐PI3K, p‐Akt, and Glut4 and thus enhance the efficiency of insulin synthesis. Furthermore, the intestinal microorganism changes before and after ingestion of Kudzu resistant starch were also analyzed; the result revealed that supplementation of KRS helps to alleviate and improve the dysbiosis of the gut microbiota caused by T2DM. These results validated that Kudzu resistant starch could improve the glucose sensitivity of T2DM mice by modulating IRS‐1/PI3K/AKT/Glut4 signaling transduction. Kudzu resistant starch can be used as a promising prebiotic, and it also has beneficial effects on the gut microbiota structure of T2DM mice.
Effects of Re on Vacancy Mobility in a Ni-Re System: An Atomistic Study
Authors: La-ongtup Nuttapong , Wannapaiboon Suttipong , Pinyou Piyanut , Wattanathana Worawat , Hanlumyuang Yuranan
Published: October 2021

The performance of modern Ni-based superalloys depends critically on the kinetic transport of point defects around solutes such as rhenium. Here, we use atomistic calculations to study the diffusion of vacancy in the low-concentration limit, using the crystalline fcc-framework nickel as a model. On-the-fly kinetic Monte Carlo is combined with an efficient energy-valley search to find energies of saddle points, based on energetics from the embedded atom method. With this technique, we compute the local energy barriers to vacancy hopping, tracer diffusivities, and migration energies of the low-concentration limit of Ni-Re alloys. It was estimated that the computed diffusion rates are comparable to the reported rates. The presence of Re atoms affects the difference between the energy of the saddle point and the initial energy of point defect hopping. In pure Ni, this difference is about 1 eV, while at 9.66 mol% Re, the value is raised to about 1.5 eV. The vacancy migration energy of vacancy in the 9.66 mol % Re sample is raised above that of pure Ni. Our findings demonstrate that even in the low-concentration limit, Re solute atoms continue to play a crucial role in the mobility of the vacancies.
Impact Assessment of Flammable Gas Dispersion and Fire Hazards from LNG Tank Leak
Authors: Li Lifeng , Luo Jinheng , Wu Gang , Li Xinhong , Ji Nan , Zhu Lixia
Published: October 2021

This study conducts an impact assessment of flammable gas dispersion and fire hazards from LNG tank leak. The release source model is used to estimate LNG release rate. A CFD (computational fluid dynamics) based 3D model is established to simulate dispersion behavior of flammable gas from the phase transformation of LNG. Subsequently, a FDS (fire dynamics) based model is built to simulate the pool fire due to LNG tank leak. The impact of gas dispersion and fire on personnel and assets is assessed based on simulation results, which can provide a theoretical basis and method support for major accident assessment of tank leakage in large LNG receiving station. The results show that the dispersion of flammable gas from LNG tank leak has an obvious stage characteristic. The flammable gas reached a steady state around 300 s, and the corresponding coverage area is about 16250 m2. The pool fire simulations indicate that the steady flame is formed at 20 s. The flames flow along the wind, and the maximum temperature of the fire reaches 670°C, and the maximum thermal radiation reaches 624 kW/m2. According to the fire damage criteria, the pool fire from LNG tank leak may pose a serious threat on the safety of adjacent assets and personnel.
The Bioinformatics Analysis of Aldosterone-Producing Adenoma and Verification of Differentially Expressed Genes
Authors: Gao Yinjie , Ma Xiaosen , Wang Huiping , Cui Yunying , Zhang Yushi , Nie Min , Tong Anli
Published: October 2021

Purpose. Previous studies have investigated the transcriptional modulations of aldosterone overproduction of aldosterone-producing adenomas (APAs). We aimed to systematically study the genes and pathways associated with molecular mechanism underlying APA by bioinformatics analysis and experimental validation for the expression profile. Methods. This study was performed based on three gene expression profiles (GSE64957, GSE8514, and GSE60042). Differentially expressed gene (DEG) investigation, function and pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed by the bioinformatics analysis. For the validation with quantitative PCR, tissues from 11 patients with nonfunctioning adrenal adenoma (NFA) and 13 with APA were included in our cohort. Results. In this study, the bioinformatics analysis was performed and 182 upregulated and 88 downregulated DEGs were identified. As expected, the upregulated DEGs were primarily involved in calcium ion homeostasis (

p

 = 2.00X10−4). In the KEGG pathway analysis, calcium signaling pathway (

p

 = 4.38X10−6) and the aldosterone synthesis and secretion (

p

 = 8.73X10−6) were enriched. Moreover, quantitative PCR was performed to detect the expression of 7 upregulated genes (PCP4, ATP2A3, CYP11B2, CLCN5, HTR4, VDR, and AQP2) among the intersection of DEGs. The mRNA levels of CYP11B2, HTR4, and AQP2 were significantly increased in APA samples compared to NFA (24.420 folds of NFA,

p

 < 0.001; 3.753 folds of NFA,

p

 = 0.002; and 11.487 folds of NFA,

p

 = 0.018). Conclusion. In summary, the present study showed several candidate genes with high expression from bioinformatics analysis and our cohort. Also, the DEGs were enriched in aldosterone synthesis and secretion and calcium signaling pathway as expected.
Chinese Medicine Leptochloa chinensis Inhibits the Malignant Behaviors of Renal Cell Carcinoma 786-O Cells by Regulating the mTOR Pathway
Authors: Tan Yongshun , Li Lingyun , Liu Hongyue , Yu Jiadong , Wang Qijun , Lin Qiuju
Published: October 2021

Background. Renal cell carcinoma (RCC) is a common malignant tumor of the urinary system that seriously threatens human life and health. This study aims to explore the role of the traditional Chinese medicine Leptochloa chinensis in the pathogenesis of RCC. Meanwhile, this study also revealed the molecular biological mechanism of its antitumor activity. Methods. Human RCC 786-O cells were cultured in the RPMI-1640 medium, which contains different concentrations of Leptochloa chinensis (1,000, 3,000, and 9,000 μg/ml). MTT and flow cytometry assays were used to detect the viability of 786-O cells. Transwell and wound healing assays were used to detect cell metastasis. The protein expression was observed by western blot analysis. Results. Leptochloa can inhibit cell proliferation and induce apoptosis in RCC 786-O cells. In addition, Leptochloa can weaken the migration and invasion of 786-O cells. More importantly, Leptochloa can block the mTOR pathway by inhibiting the protein expression of p-mTOR. Moreover, the high concentration of Leptochloa chinensis has a better inhibitory effect on 786-O cells. Conclusion. The traditional Chinese medicine Leptochloa chinensis inhibits the viability and metastasis of 786-O cells by blocking the mTOR pathway.
Correlation Analysis of Adverse Reactions of Antiosteoporosis Drugs by Different Mechanisms with Bone Turnover and Vitamin D
Authors: Zhou Xiaoling , Li Xin , Wei Tingting , Xu Ying , Lei Chen
Published: October 2021

Objective. The risk factors for the most common adverse reactions of two types of antiosteoporosis drugs in the first treatment of postmenopausal osteoporosis were analyzed to investigate the relationship between the occurrence of adverse reactions and different bone transition states and vitamin D levels. Methods. A total of 381 postmenopausal women who were diagnosed with osteoporosis in the Osteoporosis Clinic of Ningxia Medical University General Hospital from January 2017 to June 2020 were enrolled. A telephone follow-up survey was conducted on the mentioned subjects. According to the survey results, the mentioned subjects were selected according to their first use of antiosteoporosis drugs. They were divided into zoledronic acid and teriparatide acetate groups. The subjects in the two groups were divided into two groups according to the presence or absence of adverse reactions after medication and according to vitamin D level and P1NP level, and the correlation between the two factors and the occurrence of adverse reactions was analyzed. Results. Among the 307 patients treated with zoledronic acid for antiosteoporosis, 99 patients developed acute phase adverse reactions (APR+), accounting for 32.2% of the total subjects. 56.7 percent of the subjects had vitamin D deficiency. The 25(OH)D level of the APR + subjects was 16.75 ± 9.20 ng/mL, significantly lower than that of the APR− patients (23.68 ± 10.67 ng/mL). Serological P1NP level in APR+ patients was 73.95 ± 34.50 ng/ml, significantly higher than that of APR− patients with 55.80 ± 36.91 ng/ml. Musculoskeletal symptoms were observed in 14 of the 74 subjects treated with teriparatide acetate, accounting for 18.9% of the total subjects. The 25(OH)D level was deficient in 59.5% of the subjects. The 25(OH)D level of the subjects with musculoskeletal symptoms was 15.96 ± 8.17 ng/ml, while that of the subjects without musculoskeletal symptoms was 20.86 ± 8.52 ng/ml, which showed no statistical significance. The reason was considered to be related to the small sample size included in the study. The P1NP level of subjects with musculoskeletal symptoms was 96.85 ± 58.52 ng/ml, significantly higher than the P1NP level of subjects without musculoskeletal symptoms (55.28 ± 27.87 ng/ml). Conclusions. The 25(OH)D level in vivo was negatively correlated with the acute phase adverse reactions after the first infusion of zoledronic acid. When the rate of bone formation is increased and osteoblasts are active, the risk of acute phase adverse reactions is increased with the use of zoledronic acid as antiosteoporosis therapy. There was no significant correlation between 25(OH)D levels and musculoskeletal symptoms after teriparatide acetate treatment of osteoporosis. When the rate of bone formation is increased and osteoblasts are active, the risk of adverse reactions to musculoskeletal symptoms is increased with antiosteoporosis treatment with teriparatide acetate.
Strong Twirling-Rotating Manual Acupuncture with 4 r/s Is Superior to 2 r/s in Relieving Pain by Activating C-Fibers in Rat Models of CFA-Induced Pain
Authors: Song Simin , Xu Yuan , Liu Jiang , Jia Yadi , Lin Xiaowei , Liu YangYang , Guo Yi , Wang Hong , Guo Yongming
Published: October 2021

Background. Manual acupuncture (MA) with different stimulus frequencies may give rise to varying acupuncture effects. However, the intensity-effect relationship and the underlying mechanisms of MA remain unclear. Objective. To compare the analgesic effects of different frequencies of twirling-rotating MA on rats with complete Freund’s adjuvant- (CFA-) induced pain and explore the underlying mechanism via peripheral sensory nerves. Methods. First, 36 healthy male Wistar rats were randomly divided into 6 groups: control group, 2 r/s MA group (twirling-rotating MA with the frequency of 2 revolutions per second), 4 r/s MA group (twirling-rotating MA with the frequency of 4 revolutions per second), CFA group, CFA + 2 r/s MA group, and CFA + 4 r/s MA group. Rats in three CFA groups received an intraplantar injection of CFA to establish a pain model, while the rats in other three groups received an intraplantar injection of saline. Rats in the 2 r/s MA group and 4 r/s MA group were treated with the corresponding frequencies of twirling-rotating MA on bilateral Zusanli (ST36) and Kunlun (BL60) for 7 days. The ipsilateral nociceptive thresholds (paw withdrawal latency; PWL) were tested to evaluate the analgesic effects. Second, 9 healthy male Wistar rats were randomly divided into 3 groups: control group, 2 r/s MA group, and 4 r/s MA group. The proportion of C-fiber neurons (calcitonin gene-related peptide- (CGRP-) positive neurons) and A-fiber neurons (neurofilament 200- (NF200-) positive neurons) in the dorsal root ganglia (DRG) activated by MA were quantitatively analyzed with the morphological immunofluorescence staining method. Third, 30 healthy male Wistar rats were randomly divided into 6 groups: control group, CFA group, CFA + 2 r/s MA group, CFA + 2 r/s MA + RTX group, CFA + 4 r/s MA group, and CFA  + 4 r/s MA + RTX group. Resiniferatoxin (RTX) was injected into the acupoints before acupuncture. PWL was evaluated to investigate the analgesic effect. Results. Both types of MA treatment increased the PWL of saline-injecting rats and pain model rats. Moreover, 4 r/s MA was superior to 2 r/s MA in increasing PWL. A higher quantity of excited C-fiber neurons was observed following 4 r/s MA than 2 r/s MA, while the reverse was observed in the activation of A-fiber neurons. Following the injection of RTX to inhibit the activation of C-fibers, the analgesic effect of 4 r/s MA reduced significantly but not of 2 r/s MA. Conclusion. Strong MA (4 r/s MA) has superior analgesic effects to gentle MA (2 r/s MA) on CFA model rats, which is associated with C-fiber activation.
An Automorphic Distance Metric and Its Application to Node Embedding for Role Mining
Authors: Martínez Víctor , Berzal Fernando , Cubero Juan-Carlos
Published: October 2021

Role is a fundamental concept in the analysis of the behavior and function of interacting entities in complex networks. Role discovery is the task of uncovering the hidden roles of nodes within a network. Node roles are commonly defined in terms of equivalence classes. Two nodes have the same role if they fall within the same equivalence class. Automorphic equivalence, where two nodes are equivalent when they can swap their labels to form an isomorphic graph, captures this notion of role. The binary concept of equivalence is too restrictive, and nodes in real‐world networks rarely belong to the same equivalence class. Instead, a relaxed definition in terms of similarity or distance is commonly used to compute the degree to which two nodes are equivalent. In this paper, we propose a novel distance metric called automorphic distance, which measures how far two nodes are from being automorphically equivalent. We also study its application to node embedding, showing how our metric can be used to generate role‐preserving vector representations of nodes. Our experiments confirm that the proposed automorphic distance metric outperforms a state‐of‐the‐art automorphic equivalence‐based metric and different state‐of‐the‐art techniques for the generation of node embeddings in different role‐related tasks.
A New Approach to Fuzzy Differential Equations Using Weakly-Compatible Self-Mappings in Fuzzy Metric Spaces
Authors: Shamas Iqra , Rehman Saif Ur , Jan Naeem , Gumaei Abdu , Al-Rakhami Mabrook
Published: October 2021

The key objective of this research article includes the study of some rational type coincidence point and deriving common fixed point (CFP) results for rational type weakly-compatible three self-mappings in fuzzy metric (FM) space. The “triangular property of FM” is used as a fundamental tool. Moreover, some unique coincidence points and CFP theorems were presented for three self-mappings in an FM space under the conditions of rational type weakly-compatible fuzzy-contraction. In addition, some suitable examples are also given. Furthermore, an application of fuzzy differential equations is provided in the aid of the proposed work. Hence, the innovative direction of rational type weakly-compatible fuzzy-contraction with the application of fuzzy differential equations in FM space will certainly play a vital role in the related fields. It has the potential to be extended in any direction with different types of weakly-compatible fuzzy-contraction conditions for self-mappings with different types of differential equations.
Clinical Diagnosis of Toxoplasmosis via Histopathological and Antibody Examination of Five Immunocompetent Patients at Kobe City Medical Center General Hospital, 2008 to 2015
Authors: Hoshino Tatsuji , Yoshioka Shinya , Shinohara Shogo , Matsushita Akiko , Imai Yukihiro , Kinugasa Masato , Tsuji Yoshiyuki
Published: October 2021

Congenital toxoplasmosis, commonly known as TORCH, is a well-known syndrome, but even experienced obstetricians rarely encounter it. In Japan, there is good overall hygiene and raw or wild game meats are not eaten; therefore, the prevalence of Toxoplasma gondii infection and the antibody positivity rates have been low. This low prevalence rate also relates to the fact that Toxoplasma gondii infections are rarely observed in immunocompetent hosts. Exploration of the cases in which pathological examinations were performed at our hospital (Kobe City Medical Center General Hospital) revealed that acquired Toxoplasma infections were apparent in five immunocompetent patients over an 8-year period. The number of infections was unexpectedly high. The number of 5 cases was the highest in literature review to the extent that we could know. To prevent congenital toxoplasmosis, which manifests as intracranial calcifications, hydrocephalus, and chorioretinitis in severe cases, pregnant women and their doctors require proper knowledge about the risk factors and danger of this infection. We believe that from the viewpoint of cost performance relationship, it is appropriate to bear the test fee of about 50 USD for Toxoplasma IgG and IgM check for the test of congenital toxoplasmosis, if patients desired.