bluuebunny/crossref_metadata_2025 huggingface dataset:
Present but Absent in the Digital Age: Testing a Conceptual Model of Phubbing and Relationship Satisfaction among Married Couples
Authors: Aljasir Shuaa
Published: February 2022

This study is the first to explain the determinant factors of phubbing—checking cell phone during a conversation or while spending time with a significant other—and its effect on the relationship satisfaction of both partners. It is also aimed at determining whether gender and relationship length play moderating roles in a relationship. The study adopted the media displacement theory and the interdependence theory to build a conceptual model of these variables. This cross-sectional research was conducted using an online survey with 741 voluntary married participants from Saudi Arabia. Upon analysis, the data confirmed that problematic usage of cell phone, Internet, social media, games, and SMS had a positive effect on phubbing. Interestingly, it showed that both the sample’s and their partner’s relationship satisfaction increased in line with phubbing behavior. Several theoretical and practical contributions have resulted from these findings.
Repression of the Antioxidant Pyrroloquinoline Quinone in Skin Aging Induced by Bmi‐1 Deficiency
Authors: Li Jing , Liu Musang , Liang Shuo , Yu Yue , Gu Mufeng
Published: February 2022

It is uncertain whether Bmi‐1 deficiency could lead to skin aging by redox imbalance and DNA damage. In this study, we first confirmed that Bmi‐1 had a relatively high expression level in the skin and Bmi‐1 expression levels gradually decreased with age. Then, we studied the role of Bmi‐1 in the skin using a Bmi‐1-/- mouse model. Bmi‐1-/- mice were supplemented with or without pyrroloquinoline quinone (PQQ) for 5 weeks, and their skin phenotypes were compared with Bmi1-/- and wild‐type littermates. Our results showed that Bmi‐1-/- mice displayed decreased vertical thickness of skin, sparse hair follicles, and thinner and more irregular collagen bundles. Mechanistically, increased oxidative stress with reducing antioxidant capacity and induced DNA damage occurred in Bmi‐1-/- mice. Subsequently, this would lead to reduced cell proliferation, increased cell senescence and matrix metalloproteinases (MMPs), and the degradation of fibroblast function and further reduce collagen synthesis. All pathological alterations in the skin of Bmi‐1-/- mice were alleviated by PQQ supplementation. These results demonstrated that Bmi‐1 might play a key role in protection from skin aging by maintaining redox balance and inhibiting DNA damage response and will be a novel and potential target for preventing skin aging.
Optimization and Simulation of a Dynamic Management System for Building Construction Based on Low-Power Wireless Sensor Networks
Authors: Qi Ning
Published: February 2022

In this paper, we use a low-power wireless sensor network to conduct in-depth research and analysis on the optimization simulation of the dynamic management system of building construction and study the specific application of BIM technology in the information management of building construction sites. By analysing the classical delustering routing and combining the advantages in the delustering routing protocols, we propose a two-level Mesh wireless sensor network delustering routing protocol in terms of cluster head uniformity, energy consumption and balance, working mode, and handling of isolated nodes. The most important feature of this protocol compared to other delustering protocols is that it retains the design of flat network topology and designs three routing methods with the corresponding functions of wireless sensor networks to achieve better network performance. The supported personnel location technology and construction measures and environmental monitoring technology are introduced, the applicability of the technology in the building construction process is compared and analysed, the topology of construction measures and environmental monitoring technology is designed, and finally, the targeted development of the collection scheme for personnel, scaffolding, formwork, pits, cranes, construction hoists, and physical environment is completed. Firstly, it analyses the development status of BIM-based building construction site information management technology and application and discusses the basis of BIM technology implementation and the advantages of BIM technology application in information management. Then, this paper constructs the framework of a BIM-based building construction site information management system from three dimensions: functional, logical, and physical. To ensure the realizability and operability of the system, this paper discusses the operation mechanism of the BIM-based building construction site information management system, studies the key technology of system operation, designs the basic operation process of each application system of the system, and elaborates the organizational structure of the building construction site and the functional division of the relevant personnel.
Recent Applications of Electrospun Nanofibrous Scaffold in Tissue Engineering
Authors: Owida Hamza Abu , Al-Nabulsi Jamal I. , Alnaimat Feras , Al-Ayyad Muhammad , Turab Nidal M. , Al Sharah Ashraf , Shakur Murad
Published: February 2022

Tissue engineering is a relatively new area of research that combines medical, biological, and engineering fundamentals to create tissue-engineered constructs that regenerate, preserve, or slightly increase the functions of tissues. To create mature tissue, the extracellular matrix should be imitated by engineered structures, allow for oxygen and nutrient transmission, and release toxins during tissue repair. Numerous recent studies have been devoted to developing three-dimensional nanostructures for tissue engineering. One of the most effective of these methods is electrospinning. Numerous nanofibrous scaffolds have been constructed over the last few decades for tissue repair and restoration. The current review gives an overview of attempts to construct nanofibrous meshes as tissue-engineered scaffolds for various tissues such as bone, cartilage, cardiovascular, and skin tissues. Also, the current article addresses the recent improvements and difficulties in tissue regeneration using electrospinning.
Variation of Poisson’s Ratio with Axial Strain for Three-Dimensional Reentrant Auxetic Structures
Authors: Şerban Dan Andrei
Published: February 2022

This study presents numerical investigations of the influence of structural parameters on the variation of the Poisson ratio with axial strain for auxetic structures. Three-dimensional reentrant structures were considered with variable strut thickness to length ratio and reentrance angles. The variation of the volume, relative density, and relative stiffness with axial strain was also studied.
Intelligent Fuzzy Optimization Algorithm of Data Mining Based on BP Neural Network
Authors: Li Yao , Wei Huimei , Jiang Jingjing , Wang Lijuan
Published: February 2022

This article aims to explore the intelligent fuzzy optimization algorithm for data mining based on BP neural network. Although the database technology has been improved with the increase of the amount of data, facing the explosive growth of the amount of data, the previous database management methods have been unable to meet and analyze the hidden knowledge in this scale of data. Therefore, it is important to find better automated data processing methods to satisfy the classification and analysis of massive data. However, the current BP neural network is not yet perfect. This method has some problems, such as slow convergence speed. The problem is reflected in the problem of pattern recognition and insufficient generalization ability and stability. Based on the above description, the research content of this paper is an intelligent fuzzy optimization algorithm for data mining based on BP neural network. Considering that the training of the BP algorithm is based on the weight correction principle of error gradient descent, the genetic algorithm is good at global search, but it does not have accurate local searchability. Therefore, this paper uses the weight of the genetic algorithm. This paper improves BP neural network based on a genetic algorithm. The experimental simulation results of Iris show that the quantity of hidden nodes usually increases with the number of training samples. ACBP algorithm can construct a better network structure based on the number of training samples. And through the experimental comparison of the traditional BP neural network algorithm, it is concluded that the improved algorithm can allow data mining technology to mine relatively more ideal data from complex environments.
Efficacy of Adjuvant Tamsulosin for Improving the Stone-Free Rate after Extracorporeal Shock Wave Lithotripsy in Renal Stones: A Randomized Controlled Trial
Authors: Maldonado-Valadez Rafael Edgardo , Valdez-Vargas Angel David , Alvarez José Antonio , Rodea-Montero Edel Rafael
Published: February 2022

Introduction. Extracorporeal shock wave lithotripsy (ESWL) is an effective treatment for urolithiasis. Tamsulosin is capable of causing dilation and facilitating the migration of stones. The aim of this study is to evaluate the efficacy of adjuvant treatment with tamsulosin for improving the stone-free rate after a single session of ESWL in the treatment of kidney stones. Methods. This is a randomized, nonplacebo-controlled study with a sample of 60 adults with a single radiopaque kidney stone of 5–20 mm in diameter. After the ESWL session, the patients were divided into two groups. The control group received standard treatment for analgesia consisting of oral diclofenac (75 mg/12 h) as needed. The tamsulosin group received standard treatment for analgesia plus oral tamsulosin (0.4 mg/day) for eight weeks. In both groups, stone-free status was determined using a CT scan eight weeks after ESWL. The protocol of this study was registered with ClinicalTrials.gov, identifier: NCT04819828. Results. Only 57 patients completed the study (28 tamsulosin and 29 control). Overall, the average stone diameter was 11.42 ± 4.52 mm. The stone-free rate was 50.88% (29 of 57) overall, 53.57% (15 of 28) for the tamsulosin group, and 48.27% (14 of 29) for the control group (

p

 = 0.680). The estimated relative risk in favor of the tamsulosin group to achieve a stone-free status was 1.11 (95% CI 0.67–1.9). The estimated number needed to treat to achieve a single patient with renal stone-free status after eight weeks of ESWL adjuvant treatment with tamsulosin was 19. Conclusion. Our findings suggest that tamsulosin as adjuvant treatment after a single ESWL session is well tolerated and safe, but it does not increase the stone-free rate in patients with a single radiopaque renal stone of 5–20 mm in diameter. Our results may support the use of tamsulosin with ESWL in the case of patients with a single radiopaque renal stone of 11–20 mm in diameter based on an apparent higher stone-free rate and a low rate of complications.
Research on a Health Care Personnel Training Model Based on Multilayered Knowledge Mapping for the Integration of Nursing Courses and Examinations
Authors: Lv Qingna , Zhang Yanyun , Li Yanyan , Yu Yang
Published: February 2022

While nursing courses provide a convenient and quick way to learn, they can also be overloaded with resources that can cause learners to become cognitively disoriented or have difficulty choosing nursing course. This paper proposes to fully explore learners’ interests in the case of sparse data by fusing knowledge graph technology and deep recommendation models and adopt knowledge graph to model nursing courses at the semantic level so as to correspond the set of nursing courses to the knowledge graph and solve the problem of lack of logical knowledge relationships. Due to the specificity of its positions, the nursing profession must accurately position the nursing professional curriculum standards in the process of determining the talent cultivation model based on the nursing professional positions and the admission requirements for nursing practice qualification. Through linear feature mining based on the knowledge graph, entities and relationships are used to intuitively display the interest paths of nursing professional learners and enhance the interpretability of recommendations.
Research on the Reconstruction Strategy of Public English Ecological Classroom under the Background of “Internet +”
Authors: Hu Yanqiu
Published: February 2022

In the era of “Internet plus,” the educational ecosystem is changing under the influence of modern educational technology, with teachers and students as the main players. The traditional teaching method of “books + classroom + large-class teaching” with teachers at the center has evolved into “two masters: teachers leading and students as the main body.” There are also some discussions in foreign language teaching about educational ecology, with a focus on ecological imbalance. Emotion analysis is divided into two categories based on emotional information: positive and negative. It can be considered a unique text classification, despite the fact that it differs from traditional text classification. Using the emotion recognition algorithm, this paper can provide simple access to WEB pages and carry out emotional experiences such as face emotion recognition. Third-party developers, on the other hand, have a lower entry barrier, allowing them to quickly create colorful applications based on their own ideas.
Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm
Authors: Guang Yaqin , Li Shunyong , Li Quanping
Published: February 2022

Due to the generality and particularity of Internet financial risks, it is imperative for the institutions involved to establish a sound risk prevention, control, monitoring, and management system and timely identify and alert potential risks. Firstly, the importance of Internet financial risk monitoring and evaluation is expounded. Secondly, the basic principles of backpropagation (BP) neural network, genetic algorithm (GA), and GABP algorithms are discussed. Thirdly, the weight and threshold of the BP algorithm are optimized by using the GA, and the GABP model is established. The financial risks are monitored and evaluated by the Internet financial system as the research object. Finally, GABP is further optimized by the simulated annealing (SA) algorithm. The results show that, compared with the calculation results of the BP model, the GABP algorithm can reduce the number of BP training, has high prediction accuracy, and realizes the complementary advantages of GA and BP neural network. The GABP network optimized by simulated annealing method has better global convergence, higher learning efficiency, and prediction accuracy than the traditional BP and GABP neural network, achieves better prediction effect, effectively solves the problem that the enterprise financial risk cannot be quantitatively evaluated, more accurately assesses the size of Internet financial risk, and has certain popularization value in the application of Internet financial risk prediction.
Research on Efficiency in Financing of Small and Medium Companies Based on DEA Method
Authors: Pang Chao , Gai Yuejun
Published: February 2022

At this stage, SMEs cannot survive and grow without the support of large amounts of capital, and the issue of financing efficiency has always been a bottleneck for different types of SMEs. This paper studies the financial data of relevant enterprises by constructing variable index evaluation systems such as anti‐risk ability, internal management, financial system, market competitiveness, short‐term debt, long‐term debt, paid‐in capital to property right ratio, comprehensive efficiency, pure technical efficiency, and scale efficiency and takes manufacturing, service, high‐tech, and community‐based small‐sized and medium‐sized enterprises as the research points. The DEA model is used to analyze the financing efficiency of enterprises. The results show that small‐sized and medium‐sized enterprises in high‐tech and manufacturing industries are in the stage of increasing returns to scale. In a homogeneous environment, internal financing environment variables, total assets, asset liability ratio, debt service ratio, current ratio, and other variables have an impact on liquidity efficiency. External financing environment variables, science and technology investment, and economic level have a good and significant impact on enterprise financing.
The Innovative Development Path of Financial Media Based on Mobile Edge Computing Technology from the Perspective of Rural Revitalization
Authors: Xiong Siyu
Published: February 2022

Rural Revitalization is a systematic and complex strategic project that must keep up with the times while also taking into account the times’ characteristics and social development. The media should be at the forefront of rural revitalization efforts. The interaction of various “forces” is required for the successful implementation of the rural revitalization strategy. The county-level financial media center, as a “force of the media,” will encourage mainstream media to overcome their own development challenges, become an important mainstream public opinion publicity platform, and aid in the realization of the great cause of rural revitalization. For rural comprehensive revitalization, big data provides new means and tools. It is not only a powerful support for rural comprehensive revitalization, but also an important means of realizing the integrated development of the digital economy and rural revitalization, as well as improving the quality and level of rural revitalization. We need to accelerate the realization of agricultural and rural modernization to implement the rural revitalization strategy, and the construction of smart countryside is an important embodiment of agricultural and rural modernization. Mobile edge computing technology has become ingrained in many aspects of social production and daily life. With the power of MEC, urban radio and television must accelerate the pace of multiscreen and multifrequency interaction, as well as online and offline integration; create an all-media instant communication and interactive platform; make new media products suitable for rural audiences; realize integrated development of urban and rural areas; and improve the influence and credibility of new media on agricultural communication. From the perspective of rural revitalization, this paper will investigate the development path of financial media under the influence of data mining (DM) and mobile edge computing technology.
Dynamic Early-Warning Model of College Students’ Psychological Crisis Based on Characteristic Attribute
Authors: Chen Xiaojing
Published: February 2022

At present, the existing dynamic early-warning model of college students' psychological crisis cannot obtain psychological characteristics, and the error of psychological crisis prediction is large. The early-warning result of psychological crisis appears big deviation. A new dynamic early-warning model of college students' psychological crisis is designed based on characteristic attributes. In the process of modeling negative psychological crisis of college students, the fusion constraint fuzzy theory obtains the essence of college students' psychology from subjective and objective reasons, gives the different stages of college students' psychology, obtains the corresponding information entropy of the behavior hindrance in each stage of college students' psychology, and calculates the threshold value of the behavior tendency of college students' psychology. Based on the psychological state information of college students obtained by perception, the fuzzy comprehensive early-warning data model of feature attributes is constructed. According to the fuzzy comprehensive early-warning method and the early-warning index system, the early-warning factor set of college students' psychological crisis is constructed, and the dynamic early-warning model of college students' psychological crisis is constructed. Experimental results show that the mining results are consistent with the actual situation, and the grey relational degree, small error probability, and mean square ratio index are better than the present model.
Modeling and Performance Analysis of Channel Assembling Based on Ps-rc Strategy with Priority Queues in CRNs
Authors: Li Suoping , Xu Qianyu , Gaber Jaafar , Yang Nana
Published: February 2022

Based on two types of priority queues, this paper proposes a polling scheduling strategy with reserved channel (Ps-rc strategy) for predefined priority services in cognitive radio networks (CRNs). Channel assembling (CA) technology and spectrum adaptation (SA) technology are adopted to dynamically adjust the assembled channels of secondary users (SUs) to improve the performance of the secondary network. Specifically, the SUs in CRNs are divided into two queues with different priorities; based on polling scheduling, a part of the idle channel is reserved for high-priority queue during the polling stage of the low-priority queue. The purpose is to increase the service quality (QoS) of high priority on the basis of providing fair scheduling. Furthermore, the CA-based channel access process of the proposed strategy is presented and modeled by continuous time Markov chain (CTMC). Then, the process of resource flow between users is mapped on CTMC, and the transition conditions and parameter sets of channel assembling covering all user activities of the system are derived. Finally, the system performance of the proposed CA-based Ps-rc scheduling strategy is simulated and evaluated, including network capacity, spectrum utilization, blocking probability, and forced termination probability. Numerical results show that the proposed strategy can improve the QoS of the predefined high-priority service without causing excessive starvation problem of low-priority service.
Micronutrient Level Is Negatively Correlated with the Neutrophil-Lymphocyte Ratio in Patients with Severe COVID-19
Authors: Zhou Shengyu , Zhang Fayan , Chen Fangfang , Li Peng , He Yujie , Wu Julong , Dong Liang , Wang Chunting , Wang Ximing , Zhang Wei , Sun Wenqing , Yin Lixia , Zhang Rumin , Zhao Jintong , Sun Baoxia
Published: February 2022

Aim. To explore the potential relationship between NLR and micronutrient deficiency in patients with severe COVID-19 infection. Methods. Sixteen patients were categorized into the mild group (mild COVID-19) and severe group (severe COVID-19) based on the guideline of the management of COVID-19. The lactate dehydrogenase (LDH); superoxide dismutase (SOD), the inflammatory markers (neutrophil lymphocyte ratio (NLR)), erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), selenium (Se), iron (Fe), zinc (Zn), nickel (Ni), copper (Cu), chromium (Cr), cadmium (Cd), arsenic (As), and manganese (Mn) were measured in the blood. Results. Compared to the mild group, the NLR (

P
<
0.05

) and the level of Se (

P
<
0.01

), Fe (

P
<
0.05

), and Zn (

P
<
0.05

) were significantly decreased in the severe group. The level of Se, Fe, and Zn was significantly correlated to NLR levels. Furthermore, close positive correlation was found between NLR and severity of COVID-19. Conclusion. The micronutrient deficiency in the blood is associated with NLR in the severity of COVID-19 patients.
Robust Optimal Scheduling of EHG-IES Based on Uncertainty of Wind Power and PV Output
Authors: Yang Minsheng , Li Jianying , Sun Jian , Xu Jiazhu , Li Jianqi
Published: February 2022

The Electricity-Heat-Gas Integrated Energy System (EHG-IES) is important for achieving carbon neutrality. However, the uncertainty of wind power and photovoltaic (PV) output has a large impact on EHG-IES scheduling optimization. In order to solve this problem, a robust scheduling optimization method considering the uncertainty of wind power and PV output and the coupling relationship of each device in EHG-IES is proposed. In the proposed optimization method, the uncertainty of wind power and PV output is described by an additive maximum uncertainty set. Then, the day-ahead scheduling optimization model is proposed based on the coupling relationship of each equipment and electric vehicle (EV) traveling demand. Also, the proposed model is introduced in detail. The simulation is verified by a park calculation example. The economy and accuracy of the proposed method in this paper are verified by comparing the robust optimization results under different uncertainties with stochastic optimization. For robust parameters of 20% and 10%, the economic cost is 1.016% and 1.041% lower than that of the stochastic optimization. Meanwhile, the proposed method can improve the economy of the EHG-IES and realize the economic and safe operation of the EHG-IES under the consideration of EVs and heating storage equipment.
Time Trends and Treatment Pathways in Prescribing Individual Oral Anticoagulants in Patients with Nonvalvular Atrial Fibrillation: An Observational Study of More than Three Million Patients from Europe and the United States
Authors: Vora Pareen , Morgan Stewart Henry , Russell Beth , Asiimwe Alex , Brobert Gunnar
Published: February 2022

Background. Data directly comparing trends in the use of different oral anticoagulants (OACs) among patients with atrial fibrillation (AF) from different countries are limited. We addressed this using a large-scale network cohort study in the United States (US), Belgium, France, Germany, and the United Kingdom (UK). Methods. We used nine databases (claims or electronic health records) that had been converted into the Observational Medical Outcomes Partnership Common Data Model with analysis performed using open-source analytical tools. We identified adults with AF and a first OAC prescription, either vitamin K antagonist (VKA) or direct oral anticoagulant (DOAC), from 2010 to 2017. We described time trends in use, continuation, and switching. Results. In 2010, 87.5%–99.8% of patients started on a VKA. By 2017, the majority started on a DOAC: 87.0% (US), 88.3% (Belgium), 93.1% (France), 88.4% (Germany), and 86.1%–86.7% (UK). In the UK, DOACs became the most common starting OAC in 2015, 2-3 years later than elsewhere. Apixaban was the most common starting OAC by 2017, 50.2%–57.8% (US), 31.4% (Belgium), 45.9% (France), 39.5% (Germany), and 49.8%–50.5% (UK), followed by rivaroxaban, 24.8%–32.5% (US), 25.7% (Belgium), 38.4% (France), 24.9% (Germany), and 30.2%–31.2% (UK). Long-term treatment was less common in the US than in Europe, especially the UK. A minority of patients switched from their index OAC in the short and long term. Conclusions. From 2010 to 2017, VKA use had significantly declined and DOAC use had significantly increased in the US and Europe. Apixaban was the most prescribed OAC in 2017, followed by rivaroxaban.
High Incidence of Metabolic Syndrome Components in Lichen Planus Patients: A Prospective Cross-Sectional Study
Authors: Aryanian Zeinab , Shirzadian Azar , Hatami Parvaneh , Dadras Hadiyeh
Published: February 2022

Background. Lichen planus (LP) is a chronic inflammatory dermatosis, involving the skin, appendages, and mucous membranes. There is a growing body of evidence about higher risk of metabolic syndrome and dyslipidemia in some dermatoses including LP. Aim. To evaluate lipid profile, leptin, and CRP status among Iranian LP patients, compared to healthy controls, and peruse the relationship between abnormal values of these parameters with the disease duration and physical characteristics of patients. Methods. 40 LP patients and 40 age- and sex-matched healthy controls were enrolled in the study. Data on weight, height, lipid profile, leptin, and CRP values were recorded and compared. Results. The mean values for leptin, CRP, and lipid profile parameters (except for HDL) were higher in patients, compared to controls. Total cholesterol level was negatively associated with disease duration in patients (

P

value: 0.039, r: −0.33). Serum leptin level was positively correlated with BMI both in patients and controls (

P

value: 0.037 and 0.003, respectively). In the patient group, LDL level, although insignificant, was higher in men, but HDL and leptin levels were significantly higher in women in comparison with men (

P

value: 0.018). Conclusion. Screening of LP patients in regard to their lipid profile might be more reasonable in men or those who have other cardiovascular risk factors to prevent morbidity and mortality in result of developing cardiovascular events.
Turkish Validity and Reliability Study of Humanistic Practice Ability of Nursing Scale
Authors: Yanmış Safiye , Bahçecioğlu Turan Gülcan , Özer Zülfünaz
Published: February 2022

Background. Nurses should have humanistic qualities to identify what the patient needs with an effective care plan and meet these needs. The aim of this study is to conduct the Turkish validity and reliability study of the Humanistic Practice Ability of Nursing Scale. Methods. This methodological study was carried out with 300 nurses online (e-mail, WhatsApp, Facebook, and Instagram) between April 02, 2021, and May 15, 2021. A questionnaire prepared via docs.google.com/forms was sent to the nurses. The scale was translated into Turkish, and then, the content and construct validity of its Turkish version was obtained through exploratory factor analysis and confirmatory factor analysis. The reliability of the scale was tested by performing item analysis and internal consistency analysis. Results. The analysis revealed that the content validity index of the scale was 0.96. In the exploratory factor analysis performed within the scope of the Turkish adaptation of the scale, the rate of the total variance explained was 59.63%. Factor loadings of all the items ranged between 0.47 and 0.79. While Cronbach’s Alpha value was 0.93 for the overall Humanistic Practice Ability of Nursing Scale, it ranged from 0.71 to 0.89 for its subscales. The exploratory factor analysis and confirmatory factor analysis revealed no necessity of making any revision or modification in the scale. Therefore, the 29-item and five-dimension structure of the Humanistic Practice Ability of Nursing Scale was used in its Turkish version. Goodness-of-fit index values were obtained after the CFA was performed. Conclusion. The Turkish version of the Humanistic Practice Ability of Nursing Scale can be used as a valid and reliable measurement tool to assess nurses’ humanistic practice ability.
A Statistic Damage Model of Rocks considering the Effect of Loading Rate
Authors: Cui Kai , Hu Bin , Li Jing
Published: February 2022

This paper develops a new statistic damage model for rock to mainly study the effect of a loading rate on its mechanical behaviours. The proposed model adopts a new loading rate‐dependent damage density function and is capable of describing the macroscopic damage accumulation process for rock samples subjected to external high‐speed dynamic loadings. The proposed model can also account for the residual strength of rocks by introducing a modified equivalent strain principle, which considers the contribution of the friction force to the strength of rocks. The friction force is generated by the movements of the nearby microcracks. The predicted stress‐strain curves by the proposed model agree with the measured data of salty rock under the conditions of various confining pressures and loading rates. It can be found that both the peak strength and the corresponding axial strain are increased at high‐speed loading conditions. At the same time, a transition from ductile failure to brittle failure can be observed in rock samples.
CircRNA ACVR2A Sponges miR-1290 to Modulate Cell Progression in Gastric Cancer
Authors: Zhuang YingYing , Li LiYa , Wu HaiNing , Fang TaiYong
Published: February 2022

Background. In recent years, the abnormal expression of circRNAs has been identified to be strongly associated with tumor tissues. In this study, we focused on circACVR2A with a remarkably upregulated expression in gastric tissues and further explored its role in the pathogenic progression of gastric cancer (GC). Methods. The differentially expressed circACVR2A in GC tissues and four cell lines (MKN-45, SNU-1, HGC-27, and SGC-7901) was identified by qRT-PCR method. Then, the effect of circACVR2A and miR-1290 on HGC-27 cell proliferation was measured by CCK8 and the colony formation methods. The effect of circACVR2A and miR-1290 on HGC-27 cell metastasis was estimated by transwell assay. The interaction of circACVR2A and miR-1290 was further detected. Results. The relative level of circACVR2A in GC tissues and cell lines is remarkably upregulated. The downregulation of circACVR2A promotes GC cell proliferation and metastasis and suppressed the expression level of E-cadherin and Vimentin. The miR-1290 inhibitor reversed the effect of circACVR2A on cell progression in GC cell. Conclusion. circACVR2A competitively sponged miR-1290 and was exerted as a tumor suppressor gene oncogene via a circACVR2A/miR-1290 axis, suggesting it as a possible biomarker for GC therapy.
Analysis on the Influencing Factors and Countermeasures of Publicity Translation Communication Effect Based on Text Type Theory
Authors: Li Zhenli , Tang Jian
Published: February 2022

The impact of publicity translation and communication is a critical link in China’s international public relations strategy. The primary goal of the critical task of “disseminating Chinese culture and transmitting China’s image” is to improve Sino-foreign cooperation and ensure that the world understands and recognizes China. It entails the movement and spread of various cultural elements across countries, and it affects every aspect of human society. It is a necessary means of communication between people, nations, and countries. We should take into account many differences between the East and the West in terms of language, culture, ideology, and so on when translating. The tone of the text is determined, and the writing is concise, which aims to analyze ideas, clarify viewpoints, and achieve the purpose of publicity, among the factors affecting the communication effect of publicity translation. It possesses qualities, such as accuracy, politics, timeliness, monosemy, objectivity, and integrity, among others. This paper will investigate the characteristics of the factors affecting the communication effect of publicity translation and text types from the lexical and syntactic levels, as well as the specific application of text type theory in the communication effect of publicity translation.
Experimental Study on the Influence of Soil Structure Index on Loess Permeability
Authors: Yue Feng , Ren Xin , Wang Xuelang , Tian Wentong
Published: February 2022

In order to study the effects of dry density and initial water content on the permeability characteristics of loess, the saturated permeability tests of undisturbed loess and remolded loess were carried out in Lanzhou New Area. The anisotropy of undisturbed loess under two factors is analyzed and compared, and the permeability difference between undisturbed loess and remolded loess is also analyzed. The results show that the structure of loess has an important impact on the permeability characteristics, and the dry density is an important structural parameter. The natural structure of undisturbed loess has obvious anisotropy. Under different pore conditions and water contents, it will show the anisotropic behavior of permeability. The influence of water content on permeability is mainly reflected in the influence on the properties of cement between soil particle skeletons. Under different dry density conditions, the influence of water content on permeability is different. When the pore structure is relatively compact, the influence of water content is more obvious. In practical engineering, these two factors need to be comprehensively considered in order to accurately describe the permeability distribution of loess. This study can provide some theoretical guidance for the construction of relevant loess projects.
Identification of Potential Biomarkers of Type 2 Diabetes Mellitus‐Related Immune Infiltration Using Weighted Gene Coexpression Network Analysis
Authors: Zhou Ji , Zhang Xiaoyi , Ji Lixia , Jiang Guohui
Published: February 2022

Background. Type 2 diabetes mellitus (T2DM) is characterized by chronic low‐grade inflammation, showing an increasing trend. The infiltration of immune cells into adipose tissue has been shown to be an important pathogenic cause of T2DM. The purpose of this study is to use the relevant database to identify some abnormally expressed or dysfunctional genes related to diabetes from the perspective of immune infiltration. Methods. Weighted gene coexpression network analysis (WGCNA) was employed to systematically identify the coexpressed gene modules and hub genes associated with T2DM development based on a microarray dataset (GSE23561) from the Gene Expression Omnibus (GEO) database. The key genes in modules highly related to clinical features were calculated and screened by using R software, and their participation in T2DM was determined by gene enrichment analysis. The mRNA levels of CSF1R, H2AFV, LCK, and TLR9 in pre‐T2DM mice and normal wild‐type mice were detected by WGCNA screening and real‐time quantitative reverse transcriptase polymerase chain reaction (qRT‐PCR). Results. We constructed 14 coexpressed gene modules, and the brown module was shown to be significantly related to T2DM. Through verification of the protein‐protein interaction (PPI) network, four upregulated hub genes, CSF1R, H2AFV, LCK, and TLR9, were screened from the brown module and successfully distinguishedT2DM patients from healthy people. These hub genes may be used as biomarkers and important indicators for patient diagnosis. Enrichment analysis showed that these hub genes were highly associated with IL‐6‐related inflammatory metabolism, immune regulation, and immune cell infiltration. Finally, we verified the hub genes CSF1R, LCK, and TLR9 in a T2DM animal model and found that their mRNA levels were significantly higher in animals with T2DM than in control group mice (NC). Conclusions. In summary, our results suggest that these hub genes (CSF1R, LCK, and TLR9) can serve as biomarkers and immunotherapeutic targets for T2DM.
The Few yet Fabp4ulous Pancreatic Stellate Cells Give Rise to Protumoral CAFs
Authors: Cukierman Edna
Published: February 2022

Cancer-associated fibroblast (CAF) pro– and anti–pancreatic cancer functional dichotomy has been at the center of numerous studies. In this issue of Cancer Discovery, Helms and colleagues demonstrate that although pancreatic stellate cell–derived CAFs constitute a desmoplastic cell minority, these cells play a protumorigenic role via microenvironmental mechanomodulation.

See related article by Helms et al., p. 484.
Predictors of Survival in Favorable Risk Patients with Metastatic Renal Cell Carcinoma Treated with a Single-Agent First-Line Therapy
Authors: Mizuno Ryuichi , Takamatsu Kimiharu , Yasumizu Yota , Tanaka Nobuyuki , Takeda Toshikazu , Morita Shinya , Matsumoto Kazuhiro , Kosaka Takeo , Asanuma Hiroshi , Mikami Shuji , Oya Mototsugu
Published: February 2022

Introduction: The aim of this retrospective study was to elucidate predictors of survival in metastatic renal cell carcinoma (mRCC) patients in an International Metastatic Renal Cell Carcinoma Database Consortium favorable risk group treated with frontline therapy without immune checkpoint inhibitors. Methods: A total of 238 patients with mRCC were reviewed. Among them, 55 patients in favorable risk group treated with single-agent systemic therapy were retrospectively analyzed. Clinical and pathological data were retrieved and analyzed retrospectively. The prognostic effect of each marker on overall survival (OS) was investigated with univariate and multivariate Cox’s proportional hazards regression models. Results: After a median follow-up of 46.2 months after first-line treatment initiation, the median progression-free survival (PFS) was 29.3 months, and the median OS has not been reached. The estimated percentage of patients who were alive at 12 and 24 months were 96.1 and 94.1%, respectively. Multivariate analysis revealed that the long-term duration of first-line treatment (hazard ratio [HR]: 0.972, 95% confidence interval [CI]: 0.944–0.997, p = 0.0299) and the metastases limited to lung (HR: 3.852, 95% CI: 1.080–24.502, p = 0.0361) were independent predictors for longer OS in favorable risk mRCC patients. Conclusion: First-line systemic therapy for favorable risk mRCC patients with a single agent resulted in relatively longer PFS and OS. A longer duration of first-line treatment and lung only metastases are correlated with longer OS.
Deciphering the chemical phenotype in Atta laevigata (Smith, 1858) (Hymenoptera: Formicidae): A relationship between polymorphism and cuticular hydrocarbons
Authors: Santos Poliana Galvão dos , Santos Elane Galvão dos , Guimarães Ingrid de Carvalho , Michelutti Kamylla Balbuena , Cardoso Claudia Andrea Lima , Antonialli-Junior William Fernando
Published: February 2022

In the Attina subtribe the division of labor among workers is based on different tasks performed by morphological subcastes. Considering that cuticular chemical compounds play important roles as protection against water loss and mediates interactions between nestmates, and that studies on the cuticular chemical profile of ants of the genus Atta are still scarce, the aim of this study was to evaluate the relationship between morphological and chemical phenotypes in the subcastes of Atta laevigata (Smith, 1858) workers. The cuticular chemical composition of the different subcastes was assessed by Gas Chromatography coupled to Mass Spectrometry technique. The compounds found in the cuticle of the different subcastes had carbon chain size between 18 and 31 atoms, with higher content of linear alkanes in workers and soldiers and higher content of branched alkanes in gardeners and generalists, probably related to the type of tasks they perform in their colonies, since some workers perform more intra- or extranidal tasks in relation to others. The results show significant qualitative differences in the cuticular composition of the different subcastes, with a greater relationship between them according to the environmental restrictions that each subcaste is more subjected to due to the role played in the colony.
Elogio à masturbação: materialismo e saúde em Diderot
Authors: Piva Paulo Jonas de Lima
Published: February 2022

Partindo da premissa ontológica de que a realidade é única e essencialmente matéria e que o ser humano é tão-somente corpo, o filósofo francês Denis Diderot (1713-1784) desenvolveu, sobretudo no decorrer da sua maturidade filosófica, uma ética hedonista, baseada na moderação dos prazeres e na preocupação com a utilidade pública. Simultaneamente eudemonista, essa perspectiva materialista entende a felicidade como um estado psicofisiológico, mais precisamente como uma necessidade orgânica que depende da saúde do corpo que constitui e que consiste no próprio indivíduo. É quando, na sua Continuação da conversa, de 1769, Diderot se faz médico e, de forma inusitada, provoca uma reflexão de alcance ético sobre a masturbação. É desta reflexão filosoficamente heterodoxa e dos seus desdobramentos éticos que trata este artigo.
Do dois ao três em João Cabral
Authors: Vidal Ariovaldo
Published: February 2022

Em sua primeira parte, o ensaio descreve brevemente a resenha que Antonio Candido dedicou ao livro de estreia de João Cabral de Melo Neto, Pedra do sono (1942), publicada no ano seguinte com o título de “Poesia ao Norte”, e recolhida hoje no livro Textos de intervenção (2002), mostrando a admiração mútua entre poeta e crí-tico. Na parte central, o ensaio procura analisar o poema de João Cabral “Duas das festas da morte”, do livro A educação pela pedra (1966), a partir do ensaio de Antonio Candido “A passagem do dois ao três” (1974), recolhido também no livro citado, mostrando a possibilidade de leitura de um movimento dialético entre as duas estrofes do poema. E na parte final, um breve comentário ao poema que dá título ao livro de Cabral, comentado no mesmo sentido do anterior.
With a Little Help From My Friends: the Role of the Renal Collateral Circulation in Atherosclerotic Renovascular Disease
Authors: Nyvad Jakob , Lerman Amir , Lerman Lilach O.
Published: February 2022

The collateral circulation can adapt to bypass major arteries with limited flow and serves a crucial protective role in coronary, cerebral, and peripheral arterial disease. Emerging evidence indicates that the renal collateral circulation can similarly adapt and thereby limit kidney ischemia in atherosclerotic renovascular disease. These adaptations predominantly include recruitment of preexisting microvessels for arteriogenesis, with de novo vessel formation playing a limited role. Yet, adaptations of the renal collateral circulation in renovascular disease are often insufficient to fully compensate for the limited flow within an obstructed renal artery and may be hampered by the severity of obstruction or patient comorbidities. Experimental strategies have attempted to circumvent limitations of collateral formation and improve the prognosis of patients with various ischemic vascular territories. These have included pharmacological approaches such as endothelial growth factors, renin-angiotensin-aldosterone system blockade, and I
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channel-blockers, as well as interventions like preconditioning, exercise, enhanced external counter-pulsation, and low-energy shock-wave therapy. However, few of these strategies have been implemented in atherosclerotic renovascular disease. This review summarizes current understanding regarding the development of renal collateral circulation in atherosclerotic renovascular disease. Studies are needed to apply lessons learned in other vascular beds in the setting of atherosclerotic renovascular disease to develop new treatment regimens for this patient group.
Temporal Predictability Modulates Cortical Activity and Functional Connectivity in the Frontoparietal Network in 6-Month-Old Infants
Authors: Baek Sori , Jaffe-Dax Sagi , Bejjanki Vikranth R. , Emberson Lauren
Published: February 2022

Despite the abundance of behavioral evidence showing the interaction between attention and prediction in infants, the neural underpinnings of this interaction are not yet well understood. The endogenous attentional function in adults have been largely localized to the frontoparietal network. However, resting-state and neuroanatomical investigations have found that this frontoparietal network exhibits a protracted developmental trajectory and involves weak and unmyelinated long-range connections early in infancy. Can this developmentally nascent network still be modulated by predictions? Here, we conducted the first investigation of infant frontoparietal network engagement as a function of the predictability of visual events. Using functional near-infrared spectroscopy, the hemodynamic response in the frontal, parietal, and occipital lobes was analyzed as infants watched videos of temporally predictable or unpredictable sequences. We replicated previous findings of cortical signal attenuation in the frontal and sensory cortices in response to predictable sequences and extended these findings to the parietal lobe. We also estimated background functional connectivity (i.e., by regressing out task-evoked responses) to reveal that frontoparietal functional connectivity was significantly greater during predictable sequences compared to unpredictable sequences, suggesting that this frontoparietal network may underlie how the infant brain communicates predictions. Taken together, our results illustrate that temporal predictability modulates the activation and connectivity of the frontoparietal network early in infancy, supporting the notion that this network may be functionally available early in life despite its protracted developmental trajectory.