Types Of Relationships Research Articles

АНАЛИЗ ЧАСТОТЫ ВСТРЕЧАЕМОСТИ, СТРУКТУРЫ КЛИНИЧЕСКОГО ПОЛИМОРФИЗМА И ГРАФИЧЕСКИХ ПРОЯВЛЕНИЙ СТОМАТОЛОГИЧЕСКОЙ ПАТОЛОГИИ ПО ДАННЫМ АНКЕТИРОВАНИЯ И 3D-БИОМЕТРИИ СРЕДИ СТУДЕНТОВ ГОРОДА СТАВРОПОЛЯ

Objective. To study the dental pathology frequency and structure of clinical polymorphism among respondents in adolescence and 1st period of adulthood studying at universities in Stavropol. Methodology. 508 respondents aged 17–35 years according to the Gurov V.A. (2018) classification of human age periodization were examined clinically, by questionnaire and 3D-biometrically. Therapeutic, orthopedic, orthodontic and gnathological complaints were identified when filling out the proposed express dental health card for a first-year students. Using virtual dynamic 3D-reformats of diagnostic jaw models, the types of occlusal relationships of dentitions and the types of dentitions shape anomalies (V-shaped, saddle-shaped, triangular, trapezoidal, asymmetrical) with a distal relationship were determined. Results. The dental pathology frequency of occurrence and structure of clinical polymorphism in respondents of adolescence and 1st period of adulthood with complete and incomplete dentitions were diagnosed in descending order as follows: anomalies of occlusion without gnathological disorders, various localization defects of dentitions, anomalies of occlusion with gnathological disorders, defects of dentitions with anomalies of occlusion, defects of dentitions with gnathological and occlusal disorders and defects of dentitions only with gnathological disorders. The structure of occlusion anomalies was diagnosed in descending order as follows: distal occlusion, cross occlusion, mesial and vertical incisal occlusion. Physiological occlusion was the least during the study. Conclusion. Structured data from questionnaires, clinical examinations and 3D-biometric data from shape analysis of the virtual dynamic 3D-reformats of diagnostic jaw models can be used in conducting epidemiological studies, simplifying diagnosis, prognosis, archiving and increasing the efficiency of complex dental treatment.

Can Machine Learning Explain Alpha Generated by ESG Factors?

AbstractThis research explores the use of machine learning to predict alpha in constructing portfolios, leveraging a broad array of environmental, social, and governance (ESG) factors within the S&P 500 index. Existing literature bases analyses on synthetic indicators, this work proposes an analytical deep dive based on a dataset containing the sub-indicators that give rise to the aforementioned synthetic indices. Since such dimensionality of variables requires specific processing, we deemed it necessary to use a machine learning algorithm, allowing us to study, with strong specificity, two types of relationships: the interaction between individual ESG variables and their effect on corporate performance.The results clearly show that ESG factors have a significant relationship with company performance. These findings emphasise the importance of integrating ESG indicators into quantitative investment strategies using Machine Learning methodologies.

<한선문신옥편(漢鮮文新玉篇)>에【華】로 표기된 한자(어)의 형태적 특징 고찰

The Han 漢鮮文新玉篇(HànXiānWénXīnYùPiān) was an attempt to compile an autobiography suitable for the times by examining newly created new Chinese characters, Japanese characters, and Chinese characters among the autobiographies compiled in the modern period, you can see Chinese characters with the notation of “華[Hua]” in the Chinese commentary of 漢鮮文新玉篇(HànXiānWénXīnYùPiān). The Chinese characters with this sign are said to be 'Chinese characters (language)' used in China, it is necessary to examine whether this is really a Chinese character used in China, and if so, what its properties are. herefore, as part of a study to identify the properties of Chinese characters marked as “華[Hua]”, this paper intends to extract data from Chinese characters marked as “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān), in addition, the morphological characteristics of the Chinese characters marked “華[Hua]” were considered. The results are as follows. First, there are a total of 90 Chinese characters written as “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān). Among them, there are a total of 35 Chinese characters that can be found in old records but are explained by replacing them with other letters. These Chinese characters showed structural differences such as differences in strokes, differences in one-sidedness, and use of other letters. All of these were divided into cases where the subject was a 俗字 and the case where the subject was a 俗字 character because of the transfer between letters, and the subject was taken with the representativeness of the time centered on the 俗字 character. Second, in the Chinese annotation of Chinese characters with the notation of “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān), the form and word order of Chinese characters in which Chinese characters exist could be divided into five categories: (1) simple row type/order relationship type/parallel relationship type, (2) predicate-object structure/subject-order structure type, (3) predicate-bore structure type, (4) formal relationship type, and (5) other types. Third, it is a Chinese character that does not exist in the Chinese annotation of Chinese characters with the notation of “華[Hua]” in 漢鮮文新玉篇(HànXiānWénXīnYùPiān). At that time, the font and meaning exist in Korea, but the meaning of the Chinese character marked “華[Hua]” is mainly used in China.

Spatial Heterogeneity in Determinants of No Condom Use at First Sex in South Africa

Background Condom use, especially at first sex for unmarried people, is an important behaviour that reduces the risk of HIV transmission, and other Sexually Transmitted Diseases (STDs), as well as unwanted pregnancies. In reviewing the literature, little information was found to elucidate the spatial context of condom use among people who had an early sexual debut. Understanding factors that influence no condom use at first sex in different local or geographical areas can add value in addressing these risky first-sex practices and minimise the risk of getting HIV, STDs, and unwanted pregnancies in South Africa, especially among young people. Therefore, this paper aimed to determine the spatial heterogeneity of factors associated with no condom use at first sex in South Africa using Geographically Weighted Regression (GWR) with Poisson distribution and local bivariate relationships. Methods This article used data from the fifth South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey (SABSSM V) of 2017. Spatial autocorrelation, GWR using Poisson distribution, and local bivariate relationships were undertaken using ArcGIS Pro. Results Geographically weighted regression using Poisson distribution results highlighted being female, being young, having never married, being unemployed, having sexual debut at a younger age, having two or more sexual partners, having no risk of being infected with HIV, and having good Self-perceived Health (SPH) to be significant factors influencing no condom use at first sex, with pseudo R2 = 0.96 and AICc = 692. Local bivariate relationships showed the relationship between no condom use at first sex and most explanatory variables to exhibit a positive linear relationship in most districts with the exception of having never married, which showed a positive linear relationship in only 18 districts, while 33 districts showed a concave relationship. These relationships were all significant with p < 0.05. Conclusion This localised analytical approach may contribute to the development of geo-targeted interventions and policies tailored to specific regions within South Africa, thereby improving the effectiveness of efforts to promote safe first sexual practices. Educational programs targeting youth should be developed to further raise awareness of the risks associated with unprotected sex and the importance of condom use. More efforts should be made to break the barriers, such as sexual relationship power, gender, and sociocultural and religious influences, which tend to put young, never-married, and unemployed women at risk of no condom use at first sexual debut. It is further recommended that the type of relationship between no condom use at first sex and each explanatory factor at the local region be considered during geo-targeted interventions as this will assist in the type of intervention and duration of intervention.

Analysis of Operated Ankle Fractures in Elderly Patients: Are They All Osteoporotic?

Background: Osteoporosis represents a global problem, which involves high risks of disability and death due to the consequences of fragility fractures. The aim of our study is to verify what type of relationship there is between ankle fractures and osteoporosis. Specifically, we aim to understand how the clinical and anamnestic characteristics of patients, along with the radiographic features of these fractures, may contribute to considering them as osteoporotic fractures. Methods: The study group includes 51 consecutive patients aged 60 years or older operated for ankle fracture from May to October 2022. The fractures were divided into uni-, bi-, or trimalleolar based on the plain X-rays. All patients underwent femoral and vertebral bone mineralometry by DXA associated with the FRAX questionnaire. Results: Ankle fractures in the elderly were associated with reduced BMD (76.5% of the total patients examined, 83.8% considering only women) and low-energy traumas (82%). Furthermore, these fractures present features of increased complexity as bone mass decreases. Conclusions: Ankle fractures in the elderly exhibit characteristics that suggest a relationship with bone fragility. For these reasons, it might be advisable to initiate a comprehensive fracture risk assessment in elderly patients who experience an ankle fracture. These fractures should not be underrated, and antiresorptive therapy must always be taken into consideration when selecting patients at risk.

Proxemics-net++: classification of human interactions in still images

Human interaction recognition (HIR) is a significant challenge in computer vision that focuses on identifying human interactions in images and videos. HIR presents a great complexity due to factors such as pose diversity, varying scene conditions, or the presence of multiple individuals. Recent research has explored different approaches to address it, with an increasing emphasis on human pose estimation. In this work, we propose Proxemics-Net++, an extension of the Proxemics-Net model, capable of addressing the problem of recognizing human interactions in images through two different tasks: the identification of the types of “touch codes” or proxemics and the identification of the type of social relationship between pairs. To achieve this, we use RGB and body pose information together with the state-of-the-art deep learning architecture, ConvNeXt, as the backbone. We performed an ablative analysis to understand how the combination of RGB and body pose information affects these two tasks. Experimental results show that body pose information contributes significantly to proxemic recognition (first task) as it allows to improve the existing state of the art, while its contribution in the classification of social relations (second task) is limited due to the ambiguity of labelling in this problem, resulting in RGB information being more influential in this task.

A Personalized Collaborative Filtering Recommendation System Based on Bi-Graph Embedding and Causal Reasoning

The integration of graph embedding technology and collaborative filtering algorithms has shown promise in enhancing the performance of recommendation systems. However, existing integrated recommendation algorithms often suffer from feature bias and lack effectiveness in personalized user recommendation. For instance, users’ historical interactions with a certain class of items may inaccurately lead to recommendations of all items within that class, resulting in feature bias. Moreover, accommodating changes in user interests over time poses a significant challenge. This study introduces a novel recommendation model, RCKFM, which addresses these shortcomings by leveraging the CoFM model, TransR graph embedding model, backdoor tuning of causal inference, KL divergence, and the factorization machine model. RCKFM focuses on improving graph embedding technology, adjusting feature bias in embedding models, and achieving personalized recommendations. Specifically, it employs the TransR graph embedding model to handle various relationship types effectively, mitigates feature bias using causal inference techniques, and predicts changes in user interests through KL divergence, thereby enhancing the accuracy of personalized recommendations. Experimental evaluations conducted on publicly available datasets, including “MovieLens-1M” and “Douban dataset” from Kaggle, demonstrate the superior performance of the RCKFM model. The results indicate a significant improvement of between 3.17% and 6.81% in key indicators such as precision, recall, normalized discount cumulative gain, and hit rate in the top-10 recommendation tasks. These findings underscore the efficacy and potential impact of the proposed RCKFM model in advancing recommendation systems.

Principles of foreign language teaching based on artificial intelligence technologies

Importance. The widespread use of artificial intelligence technologies affects the language education system. In the few years since the advent of artificial intelligence technology, it has transformed from a theoretical concept into a dynamic force that changes ideas about classical language education. The transition to digital didactics defines new types of relationships between participants in the educational process: the teacher, the student, the educational environment and new technologies. Accordingly, the role of the teacher and the content of didactic and methodological principles of teaching a foreign language using artificial intelligence technologies are changing. The integration of artificial intelligence technologies into the process of teaching a foreign language, on the one hand, indicates the intensification of the educational process and automation of a number of pedagogical tasks, and, on the other hand, the imperfection of new technologies and potential risks and challenges when using them in practice. The main purpose of the research is to define and describe the principles of teaching a foreign language based on artificial intelligence technologies, acting as a full-fledged individual assistant for each student.Research Methods. To conduct research in the field of linguodidactics, an integrated approach is used, including theoretical and empirical methods. At the first stage of the research, theoretical methods are used, including the study of scientific literature on the research topic, analysis, generalization and classification of the information received. At the second stage of the study, empirical methods are applied, including observation and description.Definition of Concepts. Two key concepts of “artificial intelligence technologies” and “neural networks” are considered, and neural networks are classified by type of architecture and scope of application.Results and Discussion. The use of hybrid forms of learning makes it possible to use artificial intelligence technologies as an effective tool for teaching a foreign language right now. Artificial intelligence technologies play a leading role in digital didactics, allowing you to personalize the learning process and enhance the importance of students’ learning autonomy. Digital didactics, based on traditional didactic and methodological principles, involves the implementation of the following principles of learning: the principle of expediency, the principle of contextual learning, the principle of interactivity, the principle of accessibility, the principle of personalization of learning, the principle of multimodality, the principle of gamification, the principle of inclusive assessment.Conclusion. A system of principles of teaching a foreign language based on artificial intelligence technologies is presented, taking into account the peculiarities of the organization of the educational process in relation to digital didactics. It is worth noting that this system of principles is open and can be supplemented with new learning principles, as well as the content of these principles may change with the development of artificial intelligence technologies. The results obtained can be used in further research on the integration of artificial intelligence technologies into language education, as well as in the methodology of teaching foreign languages based on modern technologies.

Sound symbolic associations in Spanish emotional words: affective dimensions and discrete emotions

ABSTRACT Sound symbolism refers to non-arbitrary associations between word forms and meaning, such as those observed for some properties of sounds and size or shape. Recent evidence suggests that these connections extend to emotional concepts. Here we investigated two types of non-arbitrary relationships. Study 1 examined whether iconicity scores (i.e. resemblance-based mapping between aspects of a word’s form and its meaning) for words can be predicted from ratings in the affective dimensions of valence and arousal and/or the discrete emotions of happiness, anger, fear, disgust and sadness. Words denoting negative concepts were more likely to have more iconic word forms. Study 2 explored whether statistical regularities in single phonemes (i.e. systematicity) predicted ratings in affective dimensions and/or discrete emotions. Voiceless (/p/, /t/) and voiced plosives (/b/, /d/, /g/) were related to high arousing words, whereas high arousing negative words tended to include fricatives (/s/, /z/). Hissing consonants were also more likely to occur in words denoting all negative discrete emotions. Additionally, words conveying certain discrete emotions included specific phonemes. Overall, our data suggest that emotional features might explain variations in iconicity and provide new insight about phonemic patterns showing sound symbolic associations with the affective properties of words.

Formation and Positioning of New Legal Institutions in Financial Law: а Study on Their Characteristics

This article examines the formation and positioning of new and already-established financial and legal institutions. Emphasis is placed on the importance of establishing common financial and legal institutions. The article argues that there is currently an active process of shaping common financial and legal institutions, as exemplified by the emergence of the “emission law” and “offset and refund of fiscal payments” institutions. The institution of offset and refund of fiscal payments is modeled after the institution of “public financial control” and includes a complex set of financial and legal rules governing various types of financial relationships, unified by overarching characteristics. Furthermore, this article posits that the financial and legal institution of mandatory audits, which has gained prominence in the field of financial law in the 21st century, should be categorized not within the general but within the specialized field of financial law. It is argued that the formation of financial law institutions within the general framework follows the same pattern as the institution of “public financial control”.

Community-based sustainability initiatives: the quality of relationships matter?

AbstractThe quality of relationships between different actors involved in community-based sustainability initiatives is central to their success. This study examines the role of the qualities of social relationships within 22 different community-based sustainability initiatives each framed round different types of sustainability challenges, from flooding and climate change to community development and youth engagement. Research involved 37 semi structured interviews, combined with visual techniques, to explore the qualities of different relationship from the perspective of actors actively engaged in developing and progressing initiatives with different communities across Scotland. A typology of relationship qualities (tense, pragmatic and supportive qualities) is presented and applied to examine the ways in which relationships shape the benefits that participants identify for these community-based initiatives. The findings show supportive relationship qualities, involving a sense of respect, integrity, honesty and opportunities to test out new ideas, are particularly important in sustainability initiatives, providing a diverse range of benefits. Relationship qualities can also shift over time, either relatively suddenly or incrementally. Some groups of initiative actors worked strategically with relationships, underpinning their relationship-based strategies with relationships with different actors dominated by supportive qualities to actively harness the benefits these types of relationships provide and strengthen the sense of community and shared interest surrounding initiatives. A focus on relationship qualities can therefore provide a more dynamic picture of how community-based initiatives unfold and adapt to increasingly complex challenges. Such an approach places human agency centre-stage, recognising the fundamental importance of shaping social relationships within community-based initiatives.

What makes co-production work in sustainable neighborhood rehabilitation in China? A stakeholder structure perspective

Globally, co-production serves as a crucial approach to promote sustainable neighborhood rehabilitation. However, in China, where the governance system is characterized by strong state discourse power and a lack of public participation tradition, neighborhood rehabilitation encounters significant challenges, leading to project postponements or even failures due to unsuccessful co-production activities. To reveal the hidden problems, this paper aims to gain an in-depth understanding of the stakeholders' co-production roles and their participation structure in the co-produced sustainable neighborhood rehabilitation process from multiple dimensions. Using the case in Chongqing, the data was collected through questionnaire surveys and in-depth interviews. Social network analysis was utilized as the research method, and one-mode and two-mode networks were established to depict six relationship types with using diverse network indicators. This study revealed the high complexity of stakeholder structure, the awkward role of grass-rooted government, the dilemma of public voices and perceptions, uneven involvement in the co-production process, and the dynamic path of co-production formation. Drawing upon co-production theory, this paper elucidates the intricate mechanism of co-produced neighborhood rehabilitation in China. It offers valuable implications for policymakers and urban planners for project promotion, and contributes empirical insights to research in similar governance systems across the global context.

EXPRESS: Managing Brand Relationship Plurality: Insights from the Non-profit Sector

The non-profit sector is home to some of the most recognized and trustworthy brands, all competing for financial resources and volunteers. Akin to consumers, volunteers entertain relationships with non-profit brands. These relationships have recently become more diverse as individuals increasingly look for more ephemeral and distant forms of involvement. Drawing on an extensive qualitative dataset of the Vienna Red Cross comprising participant observation, archival data, and in-depth interviews, the authors conceptualize this non-escalating, episodic engagement as a neither-growing-nor-fading (NGNF) relationship. This theorization adds to the literature on consumer–brand relationships, which has predominantly focused on the cultivation of strong relationships. Informed by practice theory, the authors elaborate distinct brand relationship practices key to successfully maintaining NGNF relationships (acquiring and activating) while catering to volunteers following the traditional path of relationship intensification (building and cultivating). The analysis identifies constellations of practice elements conducive to managing both types of brand relationships in a symbiotic manner. The authors argue for the importance of moving beyond an exclusive focus on relationship growth and embracing non-escalating relationships. This study thus contributes to nascent theorizing on brand relationships that do not follow an axiology valuing growth and intensification.

Support without Status: Inequities in Student–Advisor Relational Dynamics between First-Generation and Continuing-Generation Doctoral Students

One of the most important developmental relationships in the doctoral student experience is that of the faculty advisor, and yet we know little about whether and how advisor relationships vary between first-generation and continuing-generation doctoral students. Drawing on qualitative interviews with 83 late-stage doctoral students in biological sciences, we explore differences in student perceptions of their relationships with advisors. Narratives reveal a continuum of relationship types, including strained, evolving, supportive, and equal. In equal relationships, doctoral students feel more like collegial partners working alongside their advisors. While continuing-generation and first-generation students are similarly represented among strained and evolving relationships, first-generation students rarely attain equal relationship status. The presented findings offer implications for understanding how inequality shapes student–advisor relationships, the role of collegiality in doctoral education’s hidden curriculum, and the supports needed to foster equity for first-generation students in graduate programs.

Impact of transport superiority on ecosystem health in arid regions: A case study of southern Xinjiang, China

The increasingly improved transportation infrastructure network is the prerequisite and foundation for driving regional development. Scientifically investigating the mechanisms by which the transport superiority degree (TSD) in arid regions affects the health of ecosystems holds significant practical value and importance for ecosystem protection and regional sustainable development. This study investigates the impact of the TSD on the Ecosystem Health Levels (EHL) in Southern Xinjiang, China, an area characterized by its arid climate and ecological vulnerability. Arid regions, such as Southern Xinjiang, often face unique ecological challenges, including water scarcity, soil erosion, and biodiversity loss, which can be exacerbated by human activities including transportation infrastructure development. By leveraging multi-source remote sensing data, this research aims to uncover the intricate dynamics between TSD and EHL in such a fragile ecological context. The findings of this study are critical for understanding the balance between infrastructural development and environmental conservation in arid regions and provide valuable insights for sustainable planning and policy-making in similar ecological settings. The research results show the following: (1) Over the study period, county-scale TSD in southern Xinjiang generally increased, while the conditions of EHL deteriorated, with higher EHL in the eastern counties than in the western counties. (2) Bivariate spatial autocorrelation analysis reveals a significant spatial dependency between county-scale TSD and EHL, with primary relationship types being LH (Low TSD − High EHL) and HL (High TSD − Low EHL). (3) Spatial regression model results indicate that an increase in TSD leads to the deterioration of county-scale EHL, and during the study period, it was observed that the interference of TSD on EHL gradually weakened.

“I Don’t Mind Them Drinking, as Long as…”: A Cross-sectional Study to Identify Codependence among Primary Caregivers of Patients with Alcohol Dependence in Urban India

Abstract Background: Codependence is a form of relationship addiction, described as a “disease of lost selfhood.” Codependence among primary caregivers adversely impacts treatment outcomes in Alcohol Dependence Syndrome (ADS) patients. Personality traits of the caregiver may also influence codependency and its severity. However, in routine clinical practice, codependence among primary caregivers of alcoholic patients is not assessed and addressed. This study aimed to identify codependence among caregivers of ADS patients and determine its association with personality traits in various subgroups. Materials and Methods: A cross-sectional study was conducted in a private mental health establishment in urban Karnataka, India, among 125 adult primary caregivers of ADS patients who were spending at least 4 h daily with the patient for more than a year. Spann-Fischer codependence scale and Big Five personality inventory were used to assess codependence and personality domains, respectively. Codependence scores were correlated with Big Five personality scores and examined in various subgroups. Results: Among 125 study participants, 103 (82.4%) were female and 81 (64.8%) were spouse of ADS patients. Moderate and high codependency was found in 86 (68.8%) and 38 (30.4%) participants, respectively. Codependence was found to be significantly higher among females (64.5 ± 7.7) than males (57.6 ± 10.9), (t = −2.8, df = 25.6, P = 0.000), independent of the type of relationship with the patient. There was a significant positive correlation with neuroticism personality trait. Sociocultural and economic conditions of the caregiver also contributed to codependence. Conclusions: The study identified the presence of moderate-to-severe codependence, especially among female caregivers of ADS patients. This emphasizes the need for a protocol to assess codependency and personality traits among caregivers of ADS patients to improve treatment outcomes in urban Indian settings.

The Relationship Between Students and Teachers and its Implications

Education is a topic that people often discuss in today's society. Since students and teachers spend a significant amount of time in contact, there is an increasing focus on the teacher-student relationship in the education community. This article primarily delves into the types of teacher-student relationships and their impact. Upon reviewing the literature, it becomes evident that, in the past, the relationship between teachers and students exhibited a notable imbalance. Teachers held authority in transmitting knowledge, while students typically served as knowledge receivers. With the continuous development of society, the relationship between teachers and students is undergoing constant change, gradually becoming more equal. Teachers are no longer mere authorities in the classroom but actively engage with students, thereby fostering a positive teacher-student relationship. This positive relationship will not only have a beneficial impact on students but will also elevate teachers' teaching standards. The article also provides specific suggestions on how to cultivate a positive teacher-student relationship, aiming to assist teachers in creating a positive and effective rapport with their students.

Back Pain in Adolescents and Young Adults with Idiopathic Scoliosis-Identifying Factors Associated with Significant Pain-A Multivariate Logistic Regression Analysis.

(1) Background: Previous data show that patients with idiopathic scoliosis (IS) can be classified into two groups according to pain intensity. This paper aims to determine which factors can independently predict the likelihood of belonging to a high-level pain group. (2) Methods: The study used a prospective, multicenter, cross-sectional design. Two-hundred and seventy-two patients with IS (mean age 18.1 years) (females 83.5%) were included. The sample was divided into two groups. The PAIN group comprised 101 patients (37.1%) with an average NRS of 5.3. The NO-PAIN group consisted of 171 patients (62.9%) with an average NRS of 1.1. Data on various factors such as comorbidities, family history, curve magnitude, type of treatment, absenteeism, anxiety, depression, kinesiophobia, family environment, and social relationships were collected. Statistical analysis consisted of multivariate logistic regression analysis to identify independent predictors of high-level pain. (3) Results: In the final model, including modifiable and non-modifiable predictors, age (OR 1.07 (1.02-1.11)); Absenteeism (OR 3.87 (1.52-9.87)), HAD anxiety (OR 1.18 (1.09-1.29)) and an indication for surgery (OR 2.87 (1.28-6.43)) were associated with an increased risk of pain. The overall model is significant at p = 0.0001 level and correctly predicts 72.6% of the responses. (4) Conclusions: Age, an indication for surgery, anxiety, and work/school absenteeism are the variables that independently determine the risk of belonging to the high-level pain group (NRS > 3).

Design and Engineering Practices of National Fundamental Geo-entity Relationship

National fundamental geo-entity construction has been vigorously promoted by the Ministry of Natural Resources of the People's Republic of China. As one of the core contents, national fundamental geo-entity relationship faces new requirements of richer content, more intelligent construction, more flexible association, more intuitive expression, and more efficient application. This paper analyzes the existing entity relationship types, defines the content of national fundamental geo-entity relationship, compiles the geo-entity relationship construction table, establishes a practical and feasible process for geo-entity relationship construction through engineering practices. The first batch of national fundamental geo-entity relationship products show that the production process described in this paper can quickly and effectively achieve the construction of national fundamental geo-entity relationship that are rich in content and convenient to apply. It has certain reference and promotion practical in the construction and integration of multi-scale geo-entity relationship at the national, provincial and municipal levels.

The evolution of the migration industry – how have employers been supported in sourcing their workforce?

ABSTRACT The migration industry consists of actors and organisations (e.g. agents, brokers, agencies, corporations) through which migration is facilitated, organised, and accelerated. Although the migration industry gained prominence in the late 20th century within labour mobility, it has relatively rarely been the subject of historical analysis. This historiographical essay argues that employers’ needs and demands for foreign workers, often ad-hoc, have triggered the emergence and development of the migration industry. Rooted in modern historical debates on labour migration, this essay aims to critically assess various forms of cooperation between employers and commercial actors worldwide and place those strategies within the migration industry. Inspired by dichotomous approach to capturing the relationships identified between employers and actors in the migration industry (i.e. agents and partners), this essay investigates the larger spectrum of types of relationships that have taken place historically. We argue that since the mid-19th century, we have witnessed an evolution of these relationships: from acting as a provider of labour (supplier or agent) to a greater professionalisation and consolidation of the relationship between employers and actors in the migration industry (partners and then allies).