bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Inclusive Leadership on Employee Well-being: The Mediating Role of Organizational Trust
Authors: Yuming Chen , Zhuoxin Lin
Published: May 2022

In recent years, people pay more and more attention to employees' work experience and mental health, especially employee well-being. Leadership style is one of the factors that affect employee well-being. Recently, there have been more and more researches on inclusive leadership in China. However, the research on the relationship between inclusive leadership and employee well-being in China is still in its infancy, and the mechanism between the two still needs to be further studied.This paper investigates the mediating effect of organizational trust on the relationship between inclusive leadership and employee well-being by using a questionnaire survey of Chinese workers. Based on a survey of 153 participants, the results show that organizational trust can mediate the positive impact of inclusive leadership on employee well-being. At the same time, after the addition of organizational trust as an intermediate variable, the study found that the establishment of organizational trust has a driving effect on improving employee well-being.
Serotonin 5‐HT1A and 5‐HT1B receptor‐mediated inhibition of glutamatergic transmission onto rat basal forebrain cholinergic neurones
Authors: Nishijo Takuma , Suzuki Etsuko , Momiyama Toshihiko
Published: May 2022

Cholinergic neurones in the basal forebrain (BF) project into various brain regions and receive excitatory inputs from the cortex and brain stem. These cholinergic neurones receive serotonergic fibres from the dorsal raphe nuclei. This study was aimed to elucidate serotonin (5‐HT)‐induced modulation of glutamatergic transmission onto rat BF cholinergic neurones identified with Cy3‐192IgG. Excitatory postsynaptic currents (EPSCs) were evoked by focal stimulation. Bath application of either 5‐HT, the 5‐HT1A receptor agonist 8‐OH‐DPAT (DPAT), or the 5‐HT1B receptor agonist CP93129 (CP), inhibited the amplitude of EPSCs. In the presence of both 5‐HT1A and 5‐HT1B receptor antagonists, the 5‐HT‐induced effect disappeared. The paired‐pulse ratio (PPR) and coefficient of variation (CV) of the EPSCs were increased by CP, whereas DPAT had no effect on PPR or CV. DPAT inhibited the inward currents induced by puff application of l‐glutamate, which were unaffected by CP. DPAT suppressed the amplitude of miniature EPSCs (mEPSCs) without affecting their frequency. CP decreased the frequency of mEPSCs in more than half of the neurones examined, whereas the amplitude was unaffected. DPAT or CP alone inhibited the NMDA receptor‐mediated currents. 5‐HT‐induced inhibition of EPSCs was reduced in the presence of ω‐agatoxin TK (Aga). Furthermore, CP‐induced inhibition of EPSCs was eliminated in the presence of Aga. DPAT‐induced inhibition of EPSCs was unchanged in the presence of Aga. These results suggest that activation of 5‐HT1A receptors reduces the sensitivity of postsynaptic glutamate receptors to glutamate, whereas presynaptic activation of 5‐HT1B receptors inhibits glutamate release by blocking P/Q‐type calcium channels.

image

Key points

We performed a patch‐clamp study to investigate serotonin (5‐HT)‐induced modulation of glutamatergic transmission onto cholinergic neurones in the rat basal forebrain slices.

Excitatory postsynaptic currents (EPSCs) were inhibited by 5‐HT as well as agonists of 5‐HT1A or 5‐HT1B receptors. 5‐HT‐induced inhibition was antagonized by co‐application of 5‐HT1A and 5‐HT1B receptor antagonists.

The effects of 5‐HT receptor agonists on the paired‐pulse ratio, coefficient of variation of EPSCs, inward currents induced by puff application of l‐glutamate as well as miniature EPSCs suggest that activation of 5‐HT1A receptors decreases the sensitivity of postsynaptic glutamate receptors to glutamate, whereas 5‐HT1B receptors presynaptically inhibit glutamate release.

The 5‐HT1B agonist‐induced inhibition was eliminated in the presence of a P/Q‐type calcium channel blocker, whereas the 5‐HT1A agonist still inhibited the EPSCs even in the presence of the blocker.

The present study reveals different pre‐ and postsynaptic mechanisms underlying 5‐HT1A and 5‐HT1B receptor‐mediated modulation of excitatory transmission.
Keith Yamamoto to serve as AAAS president-elect
Authors: Korte Andrea
Published: May 2022

Susan Rosenberg and Jane Maienschein elected to AAAS Board of Directors
In Other Journals
Authors: Vinson Valda , Hurtley Stella M. , Jiang Di , Vignieri Sacha , Lavine Marc S. , Scanlon Seth Thomas , McCartney Melissa , Szuromi Phil
Published: May 2022

Editors’ selections from the current scientific literature
Hughes bets ‘happy labs’ will boost diversity
Authors: Mervis Jeffrey
Published: May 2022

150 early-career scientists will get lavish funding based on research excellence
Genomic Clues of a Multidrug-Resistant Bacterium from Cultured Domestic Silkworm (Bombyx mori L.)
Authors: Mandal Amit Kumar , Sarkar Biraj , Mandal Hrisikesh , Chakraborty Arka Pratim , Das Mohapatra Pradeep Kumar , Dam Paulami , Mondal Rittick , Some Sudip , Sadat Abdul , Ghati Amit , Neog Kartik , Mandal Sukhendu , İnce İkbal Agah
Published: May 2022

Enterobacter
sp. strain ASE was isolated from the gut of an infected domestic silkworm (
Bombyx mori
L.; Lepidoptera: Bombycidae). The whole-genome sequence (WGS) of the multidrug-resistant strain
Enterobacter
sp. ASE, which may contribute to our understanding of the strain’s antibiotic resistance mechanism and virulence properties.
Peptide Hormones in Medicine: A 100-Year History
Authors: Martinovich V. P. , Baradzina K. U.
Published: May 2022

This review is devoted to the 100-year history of the investigation of peptide hormones and the creation of drugs on their basis, starting from the insulin discovery and its introduction into a medical practice in 1921. The basic groups of the peptide hormones are discussed: neurohypophyseal hormones, hypothalamic releasing hormones, incretins, insulin, adrenocorticotropic hormone (ACTH), and calcitonin. The first therapeutic agents based on the peptide hormones were created by a traditional approach that involved the isolation of peptides from animal tissues, their purification to individual compounds, determination of their primary structure, their chemical synthesis or their deep purification, and the creation of a pharmaceutical substance. A modern approach to creation of peptide hormone drugs is based on their consideration as ligands of the corresponding cellular receptors and the use of computer modeling, efficient synthesis methods, and high-throughput screening. The combination of these methods enabled the development of analogs which would be more active than the corresponding natural compounds, exhibit other activities in addition to the hormonal regulation, and be resistant to biodegradation. Such therapeutic agents have been designed on the basis of agonistic and antagonistic analogs of somatostatin and luliberin, and have found wide application in hormonal regulation and cancer treatment. Over the past two decades, the glucagon-like peptide (GLP-1) has been intensively investigated as a potential therapeutic agent. In our review, we describe modifications which resulted in the most highly effective long-acting drugs. Now, natural hormones and their analogs are widely present in the pharmaceutical market.
Some remarks on criticality and thermodynamics of the dynamic phantom AdS black holes
Authors: Shahzad M. Umair , Nosheen Lubna
Published: May 2022

In this paper, we discuss the thermodynamic phase-transition, thermal stability and criticality of dynamic phantom AdS black hole (BH) in the presence of electric charge e and magnetic charge g. To accomplish this, we construct the specific heat and other important thermodynamical parameters which help us to investigate the stability and criticality. The thermodynamical properties of dynamic phantom AdS BH are examined by utilizing the specific heat $$(C_P)$$

(

C
P

)

, volume expansivity $$(\beta )$$

(
β
)

, isothermal compressibility $$(\kappa )$$

(
κ
)

, Temperature vs Entropy (T–S), Pressure vs Volume (P–V) and Gibbs free energy G, graphically. Specific heat against entropy describes the divergency behaviour, which produces the second-order phase transition. We also obtain isenthalpic curves for both systems in the T–P plane and determine the cooling and heating regions by utilizing Joule–Thomson expansion. Moreover, we discuss the behaviour of (P–V) isotherm that is equal to the liquid/gas transition of the Van-Der Waals fluid is exactly matched to 3/8 also known as a universal number. Furthermore, we investigate Swallow-tail behaviour and also discuss the stability and instability of the small black hole (SBH), Intermediate black hole (IBH) and large black hole (LBH).
HOUSING MARKET VOLATILITY, SHADOW BANKS AND MACROPRUDENTIAL REGULATION: A DYNAMIC STOCHASTIC GENERAL EQUILIBRIUM MODEL ANALYSIS
Authors: WANG JINSONG , TANG LUOQIU
Published: May 2022

Given the risks of shadow banks and their risk contagion with the housing market, this study investigates the necessity, policy transmission mechanism and impact of incorporating shadow banks into a macroprudential regulation framework. It constructs a dynamic stochastic general equilibrium (DSGE) model incorporating housing market volatility and heterogeneous financial intermediation, where housing market volatility transmits to the financial intermediation sector through the collateral channel. Meanwhile, regulatory asymmetry expands the shadow banking scale and leverage indicators driven by the housing market, increasing the shadow banking risk. Moreover, considering shadow banking credit size, the macroprudential regulation framework can mitigate the volatility of economic variables and maintain macro-financial and economic stability under the conditions of tightening monetary policy and strengthening regulation. However, policy effects are limited in curbing shadow banking risks from housing market fluctuations. Thus, it is necessary to crop the source of shadow banking risks from the transmission mechanism, formulate more targeted and specialized regulatory policies to complement housing market control measures, maximize cross-market effects among different policies, and incorporate shadow banking into the regulatory system.
A Multi-Target Passive Location Method Based on GDOP Value and Beam Resolution
Authors: Miao Sheng , Dong Liang , Wang Xiaorui
Published: May 2022

In passive location systems on the ground, the judgment and location of multi-target is more challenging compared with the case of single target. In this paper, we propose a method for multi-target identification and location in an arbitrary structure with three base stations (BSs). First of all, we discuss the scene of multi-targets judgment based on geometric dilution of precision (GDOP) value. Secondly, we propose an algorithm that calculates the system coverage radius based on arbitrary three BS structures. The algorithm helps to identify the number of targets for unsupervised learning. Finally, we locate each target individually located again based on the linear constrained minimum variance (LCMV) beam former and time difference of arrival (TDOA) algorithm. In the simulations, we analyzed the location dispersion under different signal-to-noise ratio (SNR), then calculated the termination threshold of the k-means algorithm under different SNR. The simulation results show that, compared to the probability hypothesis density (PHD) filter and TDOA-angle-of-arrival (AOA) joint algorithm, the proposed method can increase more than 12.5% and 15.6% points. With the increase of the number of targets, the running time of our algorithm is controllable with better stability.
MONITORING OF SURFACE TOPOGRAPHY IN CNC TURNING OF Co–Cr–Mo BIOMATERIAL BY USING ACOUSTIC EMISSION SIGNALS
Authors: JAGTAP KETAN A. , PAWADE RAJU S.
Published: May 2022

Manufacturing industries are always in search of preparing quality implants from Co–Cr–Mo biomaterial by doing improvements in their processes. CNC turning is basically adopted for preparing a practical surface of femoral head of hip implants. The online monitoring systems such as acoustic emissions (AEs) from the machining zone provide knowledge of the deformation characteristics of the work material in machining, which affect the machined surface topography and integrity. In this study, CNC turning experiments by using CBN insert were planned according to RSM CCD in dry cutting environment. Surface generation was monitored with the help of AE setup by correlating AE RMS voltage and counts to the surface integrity of machined surfaces. Cutting speed, feed rate and depth of cut show significant effects on the AE RMS voltage. The feed rate and depth of cut, however, also show dominating effects on the AE counts. It is also observed that at lower force components, the amplitude of AE RMS voltage corresponds to a lower surface roughness ([Formula: see text] [Formula: see text]m) and the counts pattern of AE signal shows nonuniform behavior which corresponds to a higher surface roughness ([Formula: see text] [Formula: see text]m); however, the smooth surface produced with a lower [Formula: see text] value (0.89 [Formula: see text]m) shows uniform counts pattern of AE signals.
Fuzzy Ranking Approach to Bi-Matrix Games with Interval Payoffs in Marketing-Management Problem
Authors: Bisht Monika , Dangwal Rajesh
Published: May 2022

World is full of uncertainties. In decision-making problems, uncertainty occurs in many forms such as fuzzy, rough, interval, soft and researchers use data in one of these forms for presenting uncontrollable factors. This paper aims to develop an effective method for solving bi-matrix game problem with interval payoffs assuming that the players know the upper and lower bounds on payoffs. First, bi-matrix game model with interval payoffs is considered. This model is then transformed to another model with fuzzy payoffs. Finally, ranking approach is used to convert the model to crisp-valued bi-matrix game model. Further, due to correspondence between games and programming problem, the Nash equilibrium of interval bimatrix game is obtained by solving a deterministic nonlinear programming problem with nonlinear objective and linear constraints. Finally, a real-life problem of marketing management is solved to validate, approve and illustrate the effectiveness of the proposed model and its solution method. The results derived are compared with some previously defined methods and conclusions are drawn further.
Rank Reduction in Bimatrix Games
Authors: Heyman Joseph L. , Gupta Abhishek
Published: May 2022

The rank of a bimatrix game is defined as the rank of the sum of the payoff matrices of the two players. The rank of a game is known to impact both the most suitable computation methods for determining a solution and the expressive power of the game. Under certain conditions on the payoff matrices, we devise a method that reduces the rank of the game without changing the equilibria of the game. We leverage matrix pencil theory and the Wedderburn rank reduction formula to arrive at our results. We also present a constructive proof of the fact that in a generic square game, the rank of the game can be reduced by 1, and in generic rectangular game, the rank of the game can be reduced by 2 under certain assumptions.
Multi-Criteria Decision-Making-Based Model Selection Proposal in Artificial Learning Process
Authors: Koçoğlu Fatma Önay
Published: May 2022

In this study, selection of the best classification model in the artificial learning process is considered as a Multi-Criteria Decision-Making problem. In this direction, machine learning- based 10 classification models have been obtained and seven of them have been eliminated according to the different parameters. The classification model with the best performance among three remaining alternatives has been determined by ELECTRE I. According to the model performances obtained within the scope of the study, the best model among the three alternatives would be determined depending on the initiative of the researcher. However, with the proposed model, this process has been moved to a scientific basis and the best of the three models based on Extreme Learning Machine (ELM), Naïve Bayes, and Support Vector Machine has been clearly determined as ELM. The proposed model, unlike its counterparts in the literature, is far from a complex structure, is understandable and can support users of all levels.
Innovative Mechanism of Rural Finance: Risk Assessment Methods and Impact Factors of Agricultural Loans Based on Personal Emotion and Artificial Intelligence
Authors: Zhao Na , Yao Fengge
Published: May 2022

Agricultural finance is in an embarrassing position in the current financial environment, especially during the process of COVID‐19. Based on a small‐scale peasant economy, it can no longer meet the rapidly rising demand of farmers for agricultural finance. Moreover, there has been a serious disconnection between the financial system of secondary and tertiary industries, and the quality of development needs to be improved urgently. The agricultural loan risk assessment has always been the main problem that we pay great attention to in the innovation of agricultural finance. Agricultural loans are an indispensable element in supporting agricultural development and promoting rural revitalization strategy. However, financial institutions have certain credit risks in reviewing and issuing agricultural loans. This article studies the speech emotion recognition of farmers in loan review to assess loan risk. As for emotional confusion caused by speech segmentation, a special method of data connection between Convolutional Neural Networks (CNNs) and Bidirectional Long Short‐Term Memory (Bi‐LSTM) Networks is designed, and a variable‐length speech emotion recognition model including CNN and Bi‐LSTM is designed. Experimental results show that the proposed algorithm can effectively improve the risk assessment of farmers in loan review.
Analysis of Biomarkers and Marginal Bone Loss in Platform‐Switched and Nonplatform‐Switched Implants: A Randomized Clinical Trial
Authors: Kocak-Oztug Necla Asli , Adem-Siyli Gamze Zeynep , Abishev Orkhan , Batu Sule , Guven Yegane , Cekici Ali , Gokbuget Aslan Y. , Firatli Erhan , Cintan Serdar
Published: May 2022

Objectives. To compare the peri‐implant crevicular fluid (PICF) biomarker levels, peri‐implant status, and marginal bone level (MBL) differences of implants restored with randomly assigned nonplatform‐switched (NPS) or platform‐switched (PS) abutments. Methods. Ninety‐four implants in 27 subjects were included in this study. Receptor activator of nuclear factor kappa‐B ligand (RANKL), osteoprotegerin (OPG), interleukin‐1β (IL‐1β), monocyte chemotactic protein‐1 (MCP‐1) levels in PICF, peri‐implant health, and the change in the MBL were evaluated at the time of restoration (T1) and after 12 months (T2). Results. The IL‐1β levels decreased and the RANKL, OPG, and MCP‐1 levels increased from T1 to T2 (P < 0.05) in both groups. RANKL/OPG ratio at T1, MCP‐1 levels at T2, and the MCP‐1 change from T1 to T2 were lower in the PS group than in the NPS group (P < 0.05). MBL change was lower (0.51 ± 0.31 mm) in the PS group than that (0.75 ± 0.29 mm) in the NPS group at T2 (P < 0.001). Peri‐implant health status between the study groups was negligible. Conclusion. PS was superior to NPS regarding the preservation of MBL. Higher MCP‐1 levels, altered RANKL/OPG ratio, and lower OPG levels in the NPS group could be associated with subclinical peri‐implant bone remodeling.
The Efficacy of Chlorantraniliprole as a Seed Treatment for Mythimna separata (Walker) (Lepidoptera: Noctuidae)
Authors: Li Hongbo , Dai Changgeng , Hu Yang
Published: May 2022

The oriental armyworm (OAW), Mythimna separata (Walker) (Lepidoptera: Noctuidae), is an important pest in China and causes serious economic losses in corn. The anthranilic diamide, chlorantraniliprole (CHL), has been widely used as a seed treatment to control corn pests; however, no information is available on the efficacy of this insecticide as a seed treatment for OAW. In this study, the efficacy of seed treatment with CHL alone and CHL combined with the neonicotinoid insecticide clothianidin (CHL + CLO) was evaluated for controlling OAW larvae in the laboratory and field conditions. Pot experiments demonstrated that seed treatment with CHL and CHL + CLO (both 240 g a.i. 100 kg−1 seeds) resulted in >79% mortality of OAW larvae and a damage rate <20% in corn at 14 days after seed emergence (DAE). Similar to results obtained in pots, the residual toxicity of CHL and CHL + CLO to OAW larvae in the field declined with DAE and larval development. The control efficacy of field plots treated with CHL and CHL + CLO was >70% within 14 DAE, which was significantly higher than CLO alone. These results suggest that CHL and CHL + CLO as seed treatments could effectively reduce OAW larval infestation in corn. This study validates the effectiveness of corn seed treatment for OAW as an alternative to conventional foliar applications.
Students’ Ubiquitous Learning Model and Resource Sharing of English Education Based on Cloud Computing
Authors: Jin Ning
Published: May 2022

Human knowledge learning is a natural acquisition process of contextualization and dynamic adaptation, and classroom teaching is neither the only nor the best way to learn. The current rapid development of “cloud” resource technology and the concept of ubiquitous learning, which is characterized by personalization anytime and anywhere, has challenged the absolute teaching function of teachers and the neat and uniform teaching methods of textbooks and classrooms. Ubiquitous learning is a historical return to human learning, and teachers need to transform their roles in this change, to improve their adaptability and to become the organic driving force to realize the contemporary information aggregation structure. Based on this understanding, this paper begins with an analysis of the intelligent form of current “cloud” resources and explores the conceptual understanding and transformation pathways of the ecological context of ubiquitous learning and the corresponding role of teachers. In this paper, we design a system consisting of a teacher, a student, and an administrator, which can publish English test papers, create and manage a personal library of test papers, monitor students’ practice status, and review students’ performance. Storage management can be automated and intelligent, and all storage resources are integrated together, and customers see a single storage space. It improves storage efficiency, solves the waste of storage space through virtualization technology, can automatically redistribute data, and improves the utilization of storage space, while having load balancing and fault redundancy functions. Cloud storage can achieve scale effect and elastic expansion, reduce operating costs, and avoid wasting resources. Through the cloud platform, teachers can answer questions and assign homework for students online.
Protective Effects of Cannabidiol on Chemotherapy-Induced Oral Mucositis via the Nrf2/Keap1/ARE Signaling Pathways
Authors: Li Lin , Xuan Yaowei , Zhu Biao , Wang Xing , Tian Xiaoyu , Zhao Lisheng , Wang Yan , Jiang Xiaoxia , Wen Ning
Published: May 2022

Oral mucositis (OM) is a common complication during chemotherapy characterized by ulceration, mucosa atrophy, and necrosis, which seriously interferes with nutritional intake and oncotherapy procedures among patients. However, the efficacy of current treatments for OM remains limited. Cannabidiol (CBD) is a natural cannabinoid with multiple biological activities, including antioxidant and anti-inflammatory potential. In this study, we aimed to investigate the chemopreventive effects and mechanisms of CBD in protecting C57BL/6N mice and human oral keratinocytes (HOK) from 5-fluorouracil- (5-FU-) induced OM. Here, we found that CBD alleviated the severity of 5-FU-induced OM in mice, including improved survival, decreased body weight loss, reduced ulcer sizes, and improved clinical scores. Histologically, CBD restored epithelial thickness and normal structure in tongue tissues. Meanwhile, CBD attenuated reactive oxygen species (ROS) overproduction and improved the antioxidant response, suppressed the inflammatory response, promoted the proliferation of epithelial cells, and inhibited 5-FU-induced apoptosis. In vitro, consistent outcomes showed that CBD suppressed cellular ROS levels, enhanced antioxidant ability, reduced inflammatory response, promoted proliferation, and inhibited apoptosis in 5-FU-treated HOK cells. In particular, CBD upregulated the expression levels of antioxidant enzymes, heme oxygenase-1 (HO-1) and NAD(P)H quinine oxidoreductase 1 (NQO1), by increasing the expression and nuclear translocation of nuclear factor erythroid 2-related factor 2 (Nrf2) and decreasing Kelch-like ECH-associated protein 1 (Keap1). Notably, the Nrf2 inhibitor ML385 reversed the protective effect of CBD. Nrf2-siRNA transfection also significantly blunted the antioxidant effect of CBD in in vitro OM model. Collectively, our findings suggested that CBD protected against 5-FU-induced OM injury at least partially via the Nrf2/Keap1/ARE signaling pathways, highlighting the therapeutic prospects of CBD as a novel strategy for chemotherapy-induced OM.
Study on the Effect of Salinity and Water Content on CBM Adsorption/Desorption Characteristics of Coal Reservoir in Baode Block
Authors: Zhang Wei , He Yanxiang , Zhang Qingfeng , Meng Yanjun , Liu Tuo , Meng Wenhui , Zuo Yun , Fan Hongbo
Published: May 2022

The adsorption/desorption characteristics of a coal reservoir play an important role in coalbed methane (CBM) development. The proximate analysis, maceral analysis and methane isothermal adsorption/desorption experiment are carried out based on coal samples from no. 4+5 coal seam in Baode block. Combing with coal experimental data and the CBM well-produced water salinity data in the Baode block, the effect of salinity and water content on CBM adsorption/desorption characteristics of the coal reservoir and its influencing mechanism is discussed. The results show that the CBM adsorption and desorption capacity decreases with the increase of water salinity and the decrease value shows a decreasing trend. The increase of water salinity reduces the solubility of methane in coal seam water and then reduces the adsorption capacity of methane. With the increase of water content, the adsorption and desorption capacities of CBM decrease gradually. The CBM adsorption and desorption capacities decrease with the increase of water content in coal samples. The adsorption/desorption capacities of coal samples change rapidly in the low-water content stage and slowly in the high-water content stage. The competitive adsorption effect and water blocking effect between water and methane molecules are the main influencing mechanisms of water content on CBM adsorption/desorption. It can be seen that the salinity and water content will have a certain adverse impact on the adsorption and desorption capacity of CBM in the Baode block. The influence of the difference in water content and salinity in the coal seam cannot be ignored in reserve evaluation and productivity prediction of CBM. The continuous, stable, and effective drainage is one of the key factors to ensure the efficient development of CBM wells in the Baode block.
The Effect of Educational Intervention on Knowledge, Attitude, and Practice of Women towards Breast Cancer Screening
Authors: Rakhshani Tayebeh , Dada Maryam , Kashfi Seyyed Mansour , Kamyab Amirhossein , Jeihooni Ali Khani
Published: May 2022

Background. Early identification of breast cancer may result in earlier treatment and a lower mortality rate. This fact has resulted in the development of screening programs to detect breast cancer in its early stages; thus, the current study sought to investigate the influence of educational intervention on knowledge, attitude, and practice about breast cancer screening in Izeh, Khozestan Province, Iran. Materials and Methods. This experiment was carried out on the women of Izeh city in 2019. This study included 120 women who were randomized into the experimental and control groups at random (60 in the experimental and 60 in the control groups). Before and two months after the intervention, data were collected using a researcher-created questionnaire by the control and education groups. The intervention program for the intervention group included eight educational sessions over the course of two months. The SPSS 20 statistical program was used to examine the data, as well as the pairedt-test, independentt-test, and Chi-square. Results. There was no significant difference between the experimental and control groups’ mean scores of knowledge, attitude, and practice prior to the educational intervention, but a significant difference was observed after the intervention, with the experimental group obtaining significantly higher mean scores of knowledge, attitude, and practice (P=0.05).Conclusion. In the present study, the educational intervention on the knowledge, attitude, and practice towards breast cancer screening led to the increased scores of the experimental group compared to control group.
Crystallization Behavior of Rapid-Compression-Induced Mesomorphic Isotactic Polypropylene during Uniaxial Stretching at Different Temperatures
Authors: Xu Mingkun , Lin Jiaxiang , Zhang Xiaolin , Li Zhenyin , Liu Chuntai , Shen Changyu , Shao Chunguang
Published: May 2022

The uniform bulk mesomorphic iPP is prepared by rapid compression, and its structural evolution under stretching at different temperatures is studied by combining wide-angle X-ray diffraction and small-angle X-ray scattering. Results show that stretching can induce mesophase to crystallize into α-phase or promote this phase transformation synergistically with temperature, which depends on the selection of stretching temperature. When the temperature is lower than the glass transition temperature of rigid amorphous fraction (RAF), stress could make RAF devitrify firstly and then induce meso-α phase transition during the strain-softening process. As the temperature increases, the high temperature could induce meso-α phase transition to occur before the strain softening, while stretching could promote this transition. When the temperature is higher than a critical value around 100°C, the mesophase can be transformed into α-phase completely during stretching. SAXS results show that all the transformed α-crystal exhibits nodular morphology, and they are ductile with greatly enhanced deformability. Based on the results, a reasonable mechanism of meso-α transformation in the stretching process is proposed, explaining the phase transition that goes through several different steps.
Integrated Optimization of Input/Output Point Assignment and Twin Stackers Scheduling in Multi-Input/Output Points Automated Storage and Retrieval System by Ant Colony Algorithm
Authors: Song Yubo , Mu Haibo
Published: May 2022

This paper researches the problem of operational optimization in the multiple-input/output (multi-I/O) points automated storage and retrieval system (AS/RS), where the destination addresses of the retrieval requests are unknown, twin stackers work simultaneously in the same aisle and cannot cross each other, and each stacker can carry two cargo units at the same time. The problem is formalized as an integrated optimization problem with noncrossing constraint for the I/O point assignment and the storage/retrieval (S/R) requests grouping and scheduling. The complexity of the problem is analyzed without considering the I/O point assignment and double units transport (DUT). In order to adapt to the integrated optimization characteristics of the problem, a node structure with multi-I/O points is considered, and the probability selection formula of ant colony algorithm is improved for multiple pheromones. Various numerical experiments show that the average deviation of the objective function value between the proposed method and CPLEX is no more than 0.4%, and the maximum deviation is only 1.22%. Although the phased algorithm avoids the waiting of stacker in operation, the average value of its objective function is 12.14% higher than that of the proposed method, and the maximum deviation is more than 30%.
Application of Virtual Reality Technology in Martial Arts Situational Teaching
Authors: Pu Yuefeng , Yang Youhong
Published: May 2022

At present, the integration and development of virtual reality technology and physical education have become a new trend, but its research in the field of martial arts is still in the theoretical stage, lacking specific application countermeasures and schemes, which needs further exploration and research. This paper aims to explore the application of virtual reality technology in martial arts teaching. In response to this, this paper adopts a combination of controlled experiments and questionnaires to conduct research. Before the experiment, through analysis, it eliminated the differences between the two groups of subjects and achieved the purpose of controlling variables. In response to the questionnaire, this paper not only invited a 6-person expert group, but also found 40 participants in the experiment in sports schools. The results of the article show that most students have a positive attitude towards virtual reality technology-assisted martial arts teaching, and their enthusiasm for learning martial arts is significantly improved. And the results of virtual reality teaching are about 15% higher than those of traditional teaching.
Stability Evaluation of Massive Landslides Using Ensembled Analysis of Time-Series InSAR and Numerical Simulation along the Yellow River, Northwestern of China
Authors: Tian Chengcheng , Tian Hao , Li Chunyang , Chen Feifei
Published: May 2022

Loess landslides are a major geological disaster in the southeastern Qinghai Province, causing huge economic losses and casualties. The particularity of loess determines the disaster initiation mechanism, disaster mode, genetic mechanism, and complexity of the evolution process. This paper studies the deformation and stability analysis of the Quwajiasa large-scale multislip loess landslide in the Yellow River Basin from the perspective of field investigation, Interferometric Synthetic Aperture Radar (InSAR) monitoring, and numerical simulation. This study determines the deformation characteristics and genetic mechanism of the landslide through on-site field investigation, then quantitatively evaluates the overall deformation of the landslide using InSAR monitoring, locates the strong deformation area, and finally determines the control relationship between the two sliding surfaces on the landslide deformation using FLAC3D numerical simulation, obtaining the stability coefficient of the two sliding surfaces. The landslide is divided into seven engineering geological zones. The deformation history of the landslide is studied using InSAR technology. Results show that the landslide can be divided into significant deformation areas and no significant deformation areas. Two strong deformation areas are found. The FLAC3D numerical simulation results show that the deformation and stability of the right side of landslide are controlled by sliding surface 1, and the deformation and stability of the left side are controlled by sliding surface 2. The landslide is in an unstable state overall. The research done in this paper proposes a basis for the treatment of the Quwajiasa landslide.
An Improved Power Quality Disturbance Detection Using Deep Learning Approach
Authors: Sekar Kavaskar , Kanagarathinam Karthick , Subramanian Sendilkumar , Venugopal Ellappan , Udayakumar C.
Published: May 2022

Recently, the distribution network has been integrated with an increasing number of renewable energy sources (RESs) to create hybrid power systems. Due to the interconnection of RESs, there is an increase in power quality disturbances (PQDs). The aim of this article was to present an innovative method for detecting and classifying PQDs that combines convolutional neural networks (CNNs) and long short-term memory (LSTM). The disturbance signals are fed into a combined CNN and LSTM model, which automatically recognizes and classifies the features associated with power quality disturbances. In comparison with other methods, the proposed method overcomes the limitations associated with conventional signal analysis and feature selection. Additionally, to validate the proposed method's robustness, data samples from a modified IEEE 13-node hybrid system are collected and tested using MATLAB/Simulink. The results are good and encouraging.
[Retracted] High Inflammatory Factor Levels Increase Cardiovascular Complications in Diabetic Patients Undergoing Coronary Artery Bypass Grafting
Authors: Chen Jie , Wu Qiyong , Shi Haifeng , Zhang Yong , Wang Tao , Yin Ruohan , Pan Changjie
Published: May 2022

Objective. To investigate the association between inflammation and clinical outcomes of coronary artery bypass grafting (CABG) in diabetic patients. Methods. A total of 300 diabetic patients with coronary heart disease who underwent CABG were selected. Patients were divided into a group with cardiovascular events (32 in the MACCE group) and a group without cardiovascular events (268 in the non‐MACCE group) according to whether cardiovascular events occurred within 30 days. The differences in clinical parameters; serum levels of TNF‐α, IL‐6, IL‐18, IL‐1β, and CRP; factors associated with the occurrence of MACCE; and risk factors affecting the midterm all‐cause mortality of patients were compared between the two groups. Results. The serum levels of TNF‐α, IL‐6, IL‐18, and CRP in the MACCE group were significantly higher than those in the non‐MACCE group (p < 0.05). Gender, smoking, hyperlipidemia, duration of diabetes, and levels of TNF‐α, IL‐6, IL‐18, and CRP were closely related to the occurrence of MACCE. The Kaplan‐Meier survival analysis evaluation results showed that the levels of IL‐6 and CRP significantly affected the midterm all‐cause mortality rate (p < 0.05). Multivariate Cox regression analysis showed that the advanced age, hypertension, hyperlipidemia, long duration of diabetes, elevated serum IL‐6, and CRP levels could be used as risk factors for midterm all‐cause mortality. Conclusions. Inflammation levels in diabetic patients are associated with complications and midterm all‐cause mortality in patients undergoing coronary artery bypass grafting.
Time-Dependent Creep Constitutive Model of Roadway Surrounding Rock Based on Creep Parameters
Authors: Ma Yukun , Yao Qingchen , Wang Junhao , Sun Shuo , Qiu Zhanlin
Published: May 2022

In order to better study the creep deformation characteristics of rock under different stresses, the generalized Burgers model was used as the basic model after analyzing the creep characteristics of rock and its relationship with stress and strain, and its application scope was verified. Based on the damage mechanics theory, a viscoplastic body considering aging damage was established, which was connected with the generalized Burgers model in series. A new nonlinear creep constitutive model was obtained, which was extended to three dimensions. In addition, the relationship between model parameters and damage variables was established by introducing damage variables that considered damage effects. The unsteady creep constitutive model of rock is obtained, and the correctness and rationality of the model are verified by test data. The results show that this model not only accurately reflects the creep characteristics of attenuation and steady creep stage but also overcomes the defect that the generalized Burgers model is difficult to describe the accelerated creep. Considering the deterioration of creep parameters with time, the creep damage process of rock under different stress states can be better described, which provides a new idea for establishing unsteady creep model and determining model parameters.
Business Model and Management Decision-Making Method of Comprehensive Apartments for the Elderly
Authors: Gong Zhongyi , Jiang Keyin
Published: May 2022

With the development of the aging structure of the social population, ensuring the survival rights and interests of the elderly group and realizing the cultivation of the elderly are important issues that need to be solved urgently for the sake of social development. In recent years, the development of apartment industry for the elderly has provided new ideas and experience for the development of the pension system. However, at present, the development of elderly apartments in China is still in the initial stage, and there are many deficiencies to be solved. Therefore, this paper puts forward the business model and management decision-making method of comprehensive apartments for the elderly, so as to provide scientific and reasonable decision-making reference for the development of comprehensive apartments for the elderly. This paper evaluates the different combinations of operation and management decision-making modes of comprehensive old-age apartments through fuzzy set pair and fuzzy analytic hierarchy process. The experimental results show that the financing mode of comprehensive old-age apartments has a great impact on its operation and management decision-making. Through the corresponding screening and testing, among the five qualified old-age apartment combination modes and private nonenterprise team operation and management modes, financial fund policy capital combination mode is the best choice.
A Novel Dynamic Lane-Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning
Authors: Yu Cenxin , Ni Anning , Luo Jing , Wang Jinghui , Zhang Chunqin , Chen Qinqin , Tu Yifeng
Published: May 2022

Lane changing behavior has a significant impact on traffic efficiency and may lead to traffic delays or even accidents. It is important to plan a safe and efficient lane-changing trajectory that coordinates with the surrounding environment. Most conventional lane-changing models need to establish and solve constrained optimization models during the whole process, while reinforcement learning can just take the current state as input and directly output actions to vehicles. This study develops a lane-changing model using the deep deterministic policy gradient method, which can simultaneously control the lateral and longitudinal motions of the vehicle. To optimize its performance, a reward function is properly designed by combining safety, efficiency, gap, headway, and comfort features. To avoid collisions, a safety modification model is developed to check and correct acceleration at every time step. The driving trajectory data of 1169 lane-changing scenarios extracted from the Next Generation Simulation (NGSIM) dataset are used to train and test the model. The proposed model can quickly converge in training phase. Testing results show it can complete safe and efficient lane changing in different lane-changing scenarios with both shorter time headway and lane-changing duration than human drivers. Compared with the conventional dynamic lane-changing trajectory planning model, our model can reduce collision risk. It is also evaluated in automated and nonautomated mixed traffic in SUMO. Simulation results show that the proposed model also has a positive effect on the average speed of overall traffic flow.
Development of Similar Materials for Liquid-Solid Coupling and Its Application in Water Outburst and Mud Outburst Model Test of Deep Tunnel
Authors: Guo Yanhui , Yang Yi , Kong Zhijun , He Jin
Published: May 2022

In order to explore the evolution mechanism of water and mud inrush, based on the fluid-solid coupling similarity theory and a large number of matching tests, fault similar materials with mountain sand, gravel, and red clay as raw materials and surrounding similar rock materials with mountain sand, red clay, cement, and water as raw materials are developed. Similar materials’ physical and mechanical properties and hydraulic properties with different ratios are tested and analyzed. The results show that the red clay content influences the mechanical properties of similar materials and their hydraulic properties, and the gravel substrate mainly influences the fault permeability coefficient. Similar material can be adjusted within a certain range of mechanical parameters. The material is simple and suitable for developing similar materials for different low and medium strength rock masses. Finally, a similar material was used in a model test of the tunnel fault fracture zone to reveal the mechanism of water and mud bursts in the tunnel. The study results can be used as a reference for the development of similar materials for tunnel fracture zone surrounding rocks.
Risk Assessment of Building Foundation Pit Construction Based on Fuzzy Hierarchical Comprehensive Evaluation Method
Authors: Li Lei , Li Ruihan , Zhi Mei , Wang Siwei , Cao Lirong
Published: May 2022

The safety of foundation pit construction is gaining widespread attention. In order to reduce the risks of foundation pit construction and avoid the safety problems brought by the pits, it is necessary to study the risks of foundation pit construction. This paper takes the actual construction of a building as the background. Firstly, the possible main risks of foundation pit construction were identified and summarized, and then, the evaluation index system was formed. Secondly, the risk levels of various types of foundation pit risks were derived through analytic hierarchy process (AHP). In the expert scoring session of the Delphi method, the influences of both the degree of risk consequences and the probability of occurrence are combined. The risk value of the risk event is obtained in combination, which overcomes the bias problem of the traditional single assignment. Finally, an affiliation matrix was established to judge the affiliation of risk indicators to the risk level. The comprehensive risk evaluation level of this foundation pit project construction was assessed as level II. It is the degree of general risk.
“Me deixa em paz!” Um relato etnográfico preliminar sobre o isolamento voluntário dos Mashco
Authors: Gow Peter
Published: May 2022

Este artigo procura oferecer uma discussão etnográfica sobre o significado do isolamento voluntário para o povo Mashco da Amazônia peruana. A natureza mesma do isolamento voluntário escapa à pesquisa etnográfica, baseada na observação participante. Na ausência de tal tipo de pesquisa, explora-se o que se sabe sobre esse povo por meio de fontes escritas e, especialmente (etnograficamente), por meio do que sabem os Piro (Yine), seus vizinhos e “parentes”. Será dada atenção especial aos possíveis significados do “deixar em paz” para os Mashco, bem como à história e aos prováveis sentidos do uso continuado que eles fazem de machados de pedra e do fato de terem abandonado a agricultura.
Inscrito nos genes ou escrito nas estrelas? Adoção de crianças e uso de reprodução assistida
Authors: Ramíres-Gálvez Martha
Published: May 2022

Procura-se, neste artigo, explorar os deslocamentos que podem estar associados à proliferação do uso de tecnologias de reprodução assistida (RA) no país. São comparadas as narrativas sobre adoção e RA, atentando para os discursos e as adequações ao modelo “biológico-natural” de reprodução, com o propósito de intuir caminhos possíveis para traçar um diálogo entre essas duas formas de ter filhos. Discute-se o lugar das possibilidades de escolha das características dos filhos oferecidas por cada um destes campos, observando qual o seu referente, assim como o lugar simbólico atribuído ao uso das tecnologias reprodutivas antes da adoção. Discute-se, ainda, o lugar das crianças em cada um desses campos (adoção e RA) na preservação do caráter estrutural da família consanguínea. Observa-se que a tecnologia permite radicalizar a preferência generalizada e documentada em diversas pesquisas acerca de adoção de crianças recém-nascidas e com biótipo similar ao dos pais. A adoção de embriões permite antecipar, ao máximo possível, tal ntendência, abrindo espaço para a realização da experiência corporal da maternidade, comumente associada à realização da feminilidade. Finalmente, observa-se o lugar atribuído ao uso de tecnologias reprodutivas conceptivas no processo de habilitação para adoção.