A Study of the Effects of Employee Engagement on Job Satisfaction:Mediating Effect of Labor Relations Climate

With the rapid advancement of new technologies and the transformation of the economic model on a global scale,enterprises are facing unprecedented changes in the external environment and more diversified demands from employees.Therefore,it is essential for enterprises to bolster employee engagement by enhancing employees’job satisfaction,building a stable and harmonious internal climate,and adapting to the dynamic,complex external environment.This study analyzes the positive effects of employee engagement on job satisfaction,explores the mediating effect of labor relations climate in the relationship between the two,and proposes corresponding practical countermeasures and suggestions.

Safety and effectiveness of butorphanol in epidural labor analgesia:A protocol for a systematic review and meta-analysis

BACKGROUND Epidural analgesia is the most effective analgesic method during labor.Butorphanol administered epidurally has been shown to be a successful analgesic method during labor.However,no comprehensive study has examined the safety and efficacy of using butorphanol as an epidural analgesic during labor.AIM To assess butorphanol's safety and efficacy for epidural labor analgesia.METHODS The PubMed,Cochrane Library,EMBASE,Web of Science,China National Knowledge Infrastructure,and Google Scholar databases will be searched from inception.Other types of literature,such as conference abstracts and references to pertinent reviews,will also be reviewed.We will include randomized controlled trials comparing butorphanol with other opioids combined with local anesthetics for epidural analgesia during labor.There will be no language restrictions.The primary outcomes will include the visual analog scale score for the first stage of labor,fetal effects,and Apgar score.Two independent reviewers will evaluate the full texts,extract data,and assess the risk of bias.Publication bias will be evaluated using Egger's or Begg's tests as well as visual analysis of a funnel plot,and heterogeneity will be evaluated using the Cochran Q test,P values,and I2 values.Meta-analysis,subgroup analysis,and sensitivity analysis will be performed using RevMan software version 5.4.This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)Protocols statement,and the PRISMA statement will be used for the systematic review.RESULTS This study provides reliable information regarding the safety and efficacy of using butorphanol as an epidural analgesic during labor.CONCLUSION To support clinical practice and development,this study provides evidence-based findings regarding the safety and efficacy of using butorphanol as an epidural analgesic during labor.

Tunable dispersion relations manipulated by strain in skyrmion-based magnonic crystals

We theoretically investigate the propagation characteristics of spin waves in skyrmion-based magnonic crystals. It is found that the dispersion relation can be manipulated by strains through magneto-elastic coupling. Especially, the allowed bands and forbidden bands in dispersion relations shift to higher frequency with strain changing from compressive to tensile,while shifting to lower frequency with strain changing from tensile to compressive. We also confirm that the spin wave with specific frequency can pass the magnonic crystal or be blocked by tuning the strains. The result provides an advanced platform for studying the tunable skyrmion-based spin wave devices.

Understanding the Relationship Between Shrinking Cities and Land Prices:Spatial Pattern,Effectiveness,and Policy Implications

Urban shrinkage has emerged as a widespread phenomenon globally and has a significant impact on land,particularly in terms of land use and price.This study focuses on 2851 county-level cities in China in 2005–2018(excluding Hong Kong,Macao,Taiwan,and‘no data’areas in Qinhai-Tibet Plateau)as the fundamental units of analysis.By employing nighttime light(NTL)data to identify shrinking cities,the propensity score matching(PSM)model was used to quantitatively examine the impact of shrinking cities on land prices,and evaluate the magnitude of this influence.The findings demonstrate the following:1)there were 613 shrinking cities in China,with moderate shrinkage being the most prevalent and severe shrinkage being the least.2)Regional disparities are evident in the spatial distribution of shrinking cities,especially in areas with diverse terrain.3)The spatial pattern of land price exhibits a significant correlated to the economic and administrative levels.4)Shrinking cities significantly negatively impact on the overall land price(ATT=–0.1241,P<0.05).However,the extent of the effect varies significantly among different spatial regions.This study contributes novel insights into the investigation of land prices and shrinking cities,ultimately serving as a foundation for government efforts to promote the sustainable development of urban areas.

Butorphanol in epidural:Could this be the breakthrough solution for safe and effective labor analgesia that we've been waiting for?

The authors have conducted a comprehensive investigation into the safety and effectiveness of butorphanol for epidural analgesia during labor.Their critical analysis of the paper and discussion of the technique's advantages and disadvantages provide a thorough understanding of the topic.

Rural labor migration and farmers’arrangements of rice production systems in Central China:Insight from the intergenerational division of labor

Rice production is crucial for food security in China,and its relationship with rural labor migration has been studied extensively.Labor migration in rural China has taken new forms in recent years.There has been a discernible trend wherein adult children have started migrating to cities while their elderly parents return to villages to re-engage in on-farm work.The phenomenon has notably shaped the intergenerational division of labor(IDL)within households.However,it remains to be seen how farmers adjust their rice production systems in response to the IDL.The age of 60 years for employment injury insurance is the eligibility threshold for off-farm employment and is used to obtain a source of exogenous variation in the IDL.Based on a representative household survey of 1,752 rice farmers in the Hubei Province of Central China,our fuzzy regression discontinuity analysis reveals that farmers in IDL households are more likely to adopt ratoon rice(RR)than single cropping rice(SR)or double cropping rice(DR).The effect of the IDL varies under different levels of operational scales and specialized agricultural service availability.Further analysis suggests that farmers’arrangements are associated with two potential mechanisms of downward intergenerational transfer.Monetary transfer for urban housing purchases increases RR in IDL households,and time transfer for intergenerational childcare significantly promotes SR in IDL households.This study enhances the understanding of the relationship between rural labor migration and rice production in China,providing a reference for adjusting rice production systems to ensure food security.

Generating Sets of the Complete Semigroup of Binary Relations Defined by Semilattices of the Class Σ8(X, 5)

In this article, we study generating sets of the complete semigroups of binary relations defined by X-semilattices of unions of the class Σ8(X, 5). Found uniquely irreducible generating set for the given semigroups and when X is finite set formulas for calculating the number of elements in generating sets are derived.

Advances in epidural labor analgesia:Effectiveness and treatment strategies of butorphanol

In this editorial,we provide a critical review of the article by Tang et al published in the World J Clin Cases,focusing on the utilization of butorphanol for epidural analgesia during labor.Our discussion encompasses recent research developments in epidural labor analgesia,specifically highlighting the current status of clinical applications of butorphanol and associated treatment approaches.Epidural analgesia is widely acknowledged as the primary method for pain management during labor,offering effective and prolonged pain relief while allowing mothers to remain alert and actively participate in the delivery process.Among the various drugs utilized for epidural labor analgesia,butorphanol has received increasing attention due to its potential efficacy and distinctive pharmacological properties.As a synthetic opioid analgesic,butorphanol exhibits both agonistic and antagonistic activity on opioid receptors,striking a balance between analgesia and minimizing side effects.Nevertheless,the safety and efficacy of butorphanol in epidural labor analgesia remains controversial.While certain studies have reported positive outcomes with butorphanol,including effective pain relief and a reduced incidence of side effects,others have raised concerns about its safety and efficacy compared to traditional opioids or alternative analgesics.In addition,the optimal dosing strategy and regimen of butorphanol as an adjuvant in epidural labor analgesia still need to be verified.Through comprehensive synthesis and analysis of existing literature,we aim to evaluate the current evidence regarding the use of butorphanol for epidural labor analgesia,delineate areas of consensus and controversy,and propose future avenues for research and clinical practice in this domain.

Dispersion Relations in Diffraction in Time

In agreement with Titchmarsh’s theorem, we prove that dispersion relations are just the Fourier-transform of the identity, g(x′)=±Sgn(x′)g(x′), which defines the property of being a truncated functions at the origin. On the other hand, we prove that the wave-function of a generalized diffraction in time problem is just the Fourier-transform of a truncated function. Consequently, the existence of dispersion relations for the diffraction in time wave-function follows. We derive these explicit dispersion relations.

Association of Squatting Activities of Pregnant Women during the Antenatal Period and Labor Outcomes

Aim: To investigate impact of antenatal squatting activities on labour outcomes. Methods: All eligible primigravida women, with singleton cephalic fetuses, who presented to ward 18 of Colombo South Teaching Hospital, Sri Lanka, during the period 1st of February to 28th of May 2017 were invited into the study. Those who were already in active stage of labor (at least more than two moderate contractions per 10 minutes) on admission were excluded. Demographic data such as age, ethnicity, religion, educational level, occupation, latrine type in use, and booking Body mass index (BMI) were collected via an interviewer administered questionnaire. Data related to labor (modified Bishop score at onset of active labor, labor augmentation, pain relief, labor duration, mode of delivery, episiotomy or tears) and neonatal outcome (birth weight, APGAR score at 1, 5, 10 minutes) were collected from delivery notes. A pre tested interviewer administered questionnaire was used to obtain data regarding routine squatting activities during the previous 6 months. Pain visual analogue scale was used on day after delivery to assess the degree of labour pain. Duration of each squatting activity per day and number of days engaged with the activity per week;were used to calculate total squatting hours per week. In the absence of an accepted threshold for adequate squatting, we employed the sample mean as an operational data-driven threshold to define “more” against “less” squatting activities. Women who did not have squatting activities were considered as the controls. We used chi-square and Fisher’s exact tests to compare characteristics and outcomes between those engaging in more and less levels of squatting activity. We fitted a series of logistic regression models with each dichotomized outcome as the dependent variable, more/less squatting activity as the main independent variable of interest, and age, gestation period, BMI and patient’s occupation as covariates. The resulting adjusted odds ratios (AOR) and their 95% confidence intervals (CI) and statistical significance (p < 0.05) were used to draw conclusions of adjusted associations. Results: We recruited 430 women into this study. Overall, 68% of the women were of 20 - 30 years old, 47% had normal body mass index and 65% were housewives. The most frequent squatting activities were for urination/defecation and clothes washing (146 and 62 minutes/week, respectively). Mean total time was 246 minutes per week, of which more than 147 women (34%) achieved above this level of squatting activities. Those with more squatting activities had a greater modified Bishop Score ≥ 6/10 (92% vs 82%;p < 0.01);labor duration of <6 hours (82% vs 56%;p < 0.01), less likely for labour augmentation (39% vs 51%;p < 0.01) and pain relief (53% vs 65%;p = 0.013). Similar results were obtained after adjustments for maternal age, BMI, gestational age and occupation. However, there were no significant differences in the mode of delivery (normal vaginal vs instrumental vs caesarean), episiotomy rate, birth weight and neonatal Apgar scores. Conclusion: Squatting activities of more than 246 minutes per week may improve labor outcome. Women should be encouraged to increase squatting exercises or incorporate more habitual squatting activities antenatally.

Enhancing Data Forwarding Efficiency in SIoT with Multidimensional Social Relations

Effective data communication is a crucial aspect of the Social Internet of Things(SIoT)and continues to be a significant research focus.This paper proposes a data forwarding algorithm based on Multidimensional Social Relations(MSRR)in SIoT to solve this problem.The proposed algorithm separates message forwarding into intra-and cross-community forwarding by analyzing interest traits and social connections among nodes.Three new metrics are defined:the intensity of node social relationships,node activity,and community connectivity.Within the community,messages are sent by determining which node is most similar to the sender by weighing the strength of social connections and node activity.When a node performs cross-community forwarding,the message is forwarded to the most reasonable relay community by measuring the node activity and the connection between communities.The proposed algorithm was compared to three existing routing algorithms in simulation experiments.Results indicate that the proposed algorithmsubstantially improves message delivery efficiency while lessening network overhead and enhancing connectivity and coordination in the SIoT context.

Defining the We-map Reference Frames and Providing Mathematical Expressions for Transformation Relations

We-map is an interactive mobile map that can be easily communicated and applied on personal electronic devices,such as personal computers and mobile phones.Therefore,the study of direction systems and coordinate systems is critical,and exploring reference frames is essential in direction and coordinate systems.Despite its significance,existing research on We-map lacks specific solutions for the exploration of reference frames is indispensable for the establishment of accurate direction and coordinate systems.In this paper,we endeavor to address this gap by elucidating the significance of We-map reference frames,defining them with mathematical constraints,summarizing their nature and characteristics,deriving their transformation relationships and representing them through mathematical formulars and equations.Our work contributes to the fundamental theory of We-map and provides valuable systems and support for the mathematical foundation of We-map,map production,and platform development.Ultimately,this research serves to advance the development of We-map.

Is Induction of Labor with Early Rupture of Membranes Associated with an Increased Rate of Clinical Chorioamnionitis?

Objective: The objective of this study was to determine if early rupture of membranes (ROM) in women undergoing induction of labor (IOL) at term is associated with an increased rate of clinical chorioamnionitis. Study Design: A retrospective cohort study was performed on women undergoing IOL. Early ROM was defined as ROM at a modified Bishop score less than 5, cervical dilation less than 4 cm, or cervical effacement less than 80%. The rate of clinical chorioamnionitis was compared between women with early and late ROM. Results: The rate of clinical chorioamnionitis was 8.6% (24/279). ROM at an effacement of less than 80% was associated with a rate of clinical chorioamnionitis of 15.4% (12/78) compared to 6.0% (12/201) at an effacement of equal to or greater than 80%, p = 0.017. The rate of cesarean delivery was higher for patients with early ROM by any definition: 32% compared to 17.5% by modified Bishop score (p = 0.031), 32.4% versus 18.2% by cervical dilation (p = 0.049), and 33.3% versus 14.9% by cervical effacement (p = 0.001). Conclusions: In patients undergoing IOL, early ROM may be associated with an increased rate of clinical chorioamnionitis when performed at a cervical effacement of less than 80% and an increased rate of cesarean delivery.

Relational Turkish Text Classification Using Distant Supervised Entities and Relations

Text classification,by automatically categorizing texts,is one of the foundational elements of natural language processing applications.This study investigates how text classification performance can be improved through the integration of entity-relation information obtained from the Wikidata(Wikipedia database)database and BERTbased pre-trained Named Entity Recognition(NER)models.Focusing on a significant challenge in the field of natural language processing(NLP),the research evaluates the potential of using entity and relational information to extract deeper meaning from texts.The adopted methodology encompasses a comprehensive approach that includes text preprocessing,entity detection,and the integration of relational information.Experiments conducted on text datasets in both Turkish and English assess the performance of various classification algorithms,such as Support Vector Machine,Logistic Regression,Deep Neural Network,and Convolutional Neural Network.The results indicate that the integration of entity-relation information can significantly enhance algorithmperformance in text classification tasks and offer new perspectives for information extraction and semantic analysis in NLP applications.Contributions of this work include the utilization of distant supervised entity-relation information in Turkish text classification,the development of a Turkish relational text classification approach,and the creation of a relational database.By demonstrating potential performance improvements through the integration of distant supervised entity-relation information into Turkish text classification,this research aims to support the effectiveness of text-based artificial intelligence(AI)tools.Additionally,it makes significant contributions to the development ofmultilingual text classification systems by adding deeper meaning to text content,thereby providing a valuable addition to current NLP studies and setting an important reference point for future research.

Explanation of Two Important Empirical Relations for Galaxies

The phenomenon of “missing mass” in galaxies has triggered new theoretical exploration, forming a competition between dark matter assumption, modified Newtonian dynamics and modified gravity. Over the past forty years, various versions of the modified scenario have been proposed to simulate the effects of missing mass. These schemes replace the dynamic effect of dark matter by introducing some tiny extra force terms in the dynamic equations. Such extra forces have mainly interactions on large scales of galaxies, such as fitting the Tully-Fisher relation or asymptotically flat rotation curves. The discussion in this paper shows that the evidence of taking the modified schemes as fundamental theory is still insufficient. In this paper, we display a system of simplified galactic dynamical equations derived from weak field and low-speed approximations of Einstein field equations, and then we use it to discuss two important empirical relations in galactic dynamics, namely the Faber-Jackson relation and Tully-Fisher relation, as well as the related fundamental plane. These discussions provide a reference scheme for improving the dispersion of the empirical relations, and also provide a theoretical foundation to analyze the properties of dark matter and galactic structures.

Analysis of the Effect of Midwives’ Psychological Care Intervention on the Progress of Labor and Cesarean Rate of Elderly Women in Labor

Objective:To analyze the effect of midwife psychological nursing intervention in the clinical care of elderly women in labor.Methods:According to the order of admission,74 elderly women were divided into the control group and the observation group.In addition to the routine perinatal nursing interventions,the observation group strengthened the implementation of midwives’psychological nursing interventions.The duration of labor,mode of delivery,psychological state,and stress response indexes of the two groups were analyzed and compared.Results:The observation group had a shorter duration of all labor stages and total duration of labor than the control group,a lower cesarean section rate than the control group,and a higher degree of improvement in anxiety,depression,and stress response indexes in the 3-day postpartum period as compared to the control group(P<0.05).Conclusion:The implementation of midwife psychological care intervention in perinatal care of elderly women can further shorten the duration of labor,reduce the cesarean section rate,and improve the psychological state and stress indicators,which is worth promoting.

A Study on the Correlation of Body Mass Management During Pregnancy with Adverse Pregnancy Outcomes and Labor Progression

Objective:To investigate the effects of body mass management during pregnancy on adverse pregnancy outcomes,duration of labor,and neonatal birth weight.Methods:472 pregnant women who visited Beijing Anzhen Hospital from January to December 2023 were selected,and the pregnant women were divided into 236 each in the observation group and the control group.Body mass of pregnant women was measured and BMI was calculated in early and late pregnancy respectively,and the pregnant women in the control group were guided by routine management,while the observation group was guided by body mass management during pregnancy.The growth of maternal body mass,mode of delivery,postpartum hemorrhage,neonatal score,neonatal blood glucose at birth,and umbilical artery blood,as well as the comparison of the duration of labor,were observed.Results:The observation group was significantly better than the control group in terms of mode of delivery,postpartum hemorrhage,and body mass growth,with statistically significant differences(P<0.05),and there was no statistical significance in terms of neonatal scores,neonatal blood glucose at birth,and umbilical artery blood(P>0.05);the time of the first stage of labor and the time of the second stage of labor of the mothers in the observation group was significantly better than that of the control group,with statistical differences(P<0.05),and the time of the third stage of labor of the mothers in the observation group was statistically better than that of the control group.There was no statistically significant difference between the time of the third stage of labor in the observation group and the control group(P>0.05),and the time of the total stage of labor in the observation group was statistically better than that in the control group(P<0.05).Conclusion:Body mass management during pregnancy can effectively improve maternal control of weight gain,reduce labor time,and decrease the occurrence of adverse pregnancy outcomes.

Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

Research on the Implementation Path of Labor Education in Colleges and Universities from an International Perspective

Universities shoulder the important mission of talent cultivation,scientific research,social service,cultural heritage and innovation,and international exchange and cooperation.International exchange and cooperation have become the fifth major function of universities.Based on the background of the globalization era,undergraduate colleges and universities should pay more attention to the cultivation of students’intercultural communication and understanding ability while cultivating their professional skills,and take expanding students’international vision and enhancing the international competitiveness of China’s education as important tasks.Labor education is an important content of the national education system,which has the comprehensive nurturing value of cultivating morality,increasing intelligence,strengthening physical fitness,and cultivating beauty.Higher education institutions should further optimize the system of labor education,expand students’space and field of thinking in the process of labor education,and broaden students’international perspectives.

The Collaboratory for the Study of Earthquake Predictability in China:Experiment Design and Preliminary Results of CSEP2.0

Since the inaugural international collaboration under the framework of the Collaboratory for the Study of Earthquake Predictability(CSEP)in 2007,numerous forecast models have been developed and operated for earthquake forecasting experiments across CSEP testing centers(Schorlemmer et al.,2018).Over more than a decade,efforts to compare forecasts with observed earthquakes using numerous statistical test methods and insights into earthquake predictability,which have become a highlight of the CSEP platform.