Occupational Values Research Articles

Entry Count vs Occupancy Count to assess sector capacity with Fast Time Simulation

An air traffic controller should manage aircraft movements per hour to ensure the safety and efficiency of the traffic system. This study proposed an innovative methodology to estimate the air traffic controllers’ workload through sector occupancy. Starting with a model for the workload of sector controllers designed by Eurocontrol for tower controllers, the authors defined a taskload model from real audio that occurred in an examined Terminal Control Area (TMA). Moreover, trombones have been implemented to sequence arrival flows in the simulated TMA. Therefore, an airside model has been reproduced using Fast Time Simulation software, and its capacity has been calculated in terms of occupancy due to approaching movements. The results permit to evaluate the impact of infrastructural and operative modifications on the sector capacity in terms of hourly entry count and occupancy. Total and maximum occupancy values have been deepened to identify the best predictive factor of controllers’ workload and to manage the airspace configuration.

The effective sound absorption contributed by added occupants in classrooms

The effects of the distribution of occupants in partially occupied classrooms were experimentally investigated in four university classrooms. The frequency-averaged (500-4000 Hz) absorption values per occupant were largest for the 50% occupancy cases among four percentage occupancies, 25%, 50%, 75%, and 100%, in the four classrooms. The frequency-averaged (500-4000 Hz) sound absorption per occupant values were linearly related to the perimeter values of the seating blocks in the classrooms. Perimeter values of seating blocks were proposed as a measure of the expected differences in absorption values between various seating blocks having the same areas in the classrooms. The incremental changes in other classrooms due to varying percentage occupancy can be estimated from the resulting regression equations.

다문화사회 전문가의 직업적 특성 및 전문성에 대한 인식 탐구

The purpose of this study is to investigate the perceptions of the job characteristics and expertise regarding multicultural social experts among students currently completing the multicultural social expert course. For this purpose, a questionnaire survey was conducted upon 14 students who were majoring in Korean language education and completing the multicultural social expert course at S University. As a result showed that the unclear identity of the multicultural social expert leads to decreased occupational value and students not recognizing themselves as professionals. Therefore, there is a need to improve the qualification system for multicultural social expert and set their specific roles and treatment in order to allow them to function as professionals with expertise in the field.

Accurate low-dose exposure assessment of benzene and monoaromatic compounds by diffusive sampling: sampling and analytical method validation according to ISO 23320 for radiello® samplers packed with activated charcoal.

The research study aimed at providing an accurate low-dose benzene exposure assessment method, by validating diffusive monitoring techniques for benzene personal exposure measurements at workplaces where benzene concentrations are expected in the low ppb range, such as in the present-day chemical, petrochemical, foundry, and pharmaceutical industry. The project was aimed at addressing the need for a robust and fully validated method to perform personal exposure measurements considering that the occupational exposure limit value for benzene is going to be significantly lowered in the next few years. Diffusive sampling offers a reliable alternative to pumped sampling methods, intrinsic safety in potentially explosive atmospheres, lightness, and ease of use. In this study, the radiello® diffusive sampler, with the packed activated charcoal RAD130 adsorbing substrate [suitable for solvent desorption and analysis by high-resolution gas chromatography-flame ionization detection (HRGC-FID)], was used. The experiments have been conducted following the ISO 23320 standard in the range from 0.005 to 0.1 ppm (16 to 320 μg/m3), yielding a full validation of the sampling and analytical method. The sampler performances have fulfilled all requisites of the ISO 23320 standard, in particular: bias due to the selection of a non-ideal sorbent is lower than 10% (no significant back diffusion of benzene due to concentration change in the atmosphere); bias due to storage of samples for up to 2 months is lower than 10%; nominal uptake rate for benzene on RAD130 is 74.65 mL/min; and expanded uncertainty of the sampling and analytical method is 20.6%. The sampling and analytical method is therefore fit-for-purpose for the personal exposure measurements aimed at testing compliance with occupational exposure limit values for benzene. The method is also fit for short-duration exposure monitoring related to specific tasks, and other volatile organic compounds, usually found in the same workplaces, such as aliphatic and aromatic hydrocarbons and some oxygenated compounds, have also been studied. In particular, n-hexane and isopropyl benzene, whose classification is currently under revision, can be efficiently monitored by this technique.

Pharmacists' perceptions of pharmacy technician occupational values

BackgroundPharmacy technician scope of practice has expanded in recent years to attempt to alleviate the responsibility burden placed on pharmacists in some states. However, little research has examined the ways in which pharmacists attempt to persuade technicians to take on additional roles. Management literature has identified the importance of understanding employee values in crafting persuasive role expansion messaging. Objectives: Identify the occupational values which pharmacists believe are the most important to pharmacy technicians when attempting to craft messages aimed at increasing technician involvement in advanced roles. MethodsSemi-structured interviews were conducted with pharmacists across multiple practice settings to identify how important they believe nine selected occupational values are to pharmacy technicians. Average scores for each of the nine values were calculated and examined to identify potential differences between the two overarching types of occupational values: intrinsic and extrinsic. ResultsPharmacists indicated that they believed that technicians are more extrinsically motivated than intrinsically motivated. Pharmacists believed that technicians had higher levels of extrinsic occupational values as opposed to intrinsic occupational values (3.920 vs. 3.113). The most important values to technicians as perceived by pharmacists were the income of the job and the hours of the jobs (average score of 4.85 and 4.75, respectively). The chance to be helpful to others and society was the only intrinsic value with an average score >3.5. Additionally, pharmacists indicated that technicians were not properly compensated for their work, which furthered illustrated the perceived importance of extrinsic motivators. Finally, when it came to crafting messaging around role expansion, pharmacists believed it was important to tailor their messaging to the technician they were speaking to. ConclusionPharmacists looking to craft role expansion messaging to their technicians are more likely to utilize extrinsic occupational values as motivators instead of using intrinsic values.

3D Surface Reconstruction Based on Dynamic Graph Convolutional Occupancy Network

A 3D reconstruction method based on dynamic graph convolutional occupancy networks is proposed to address the issues of texture information loss, geometric information loss after voxelization, and lack of object completeness constraints in the process of 3D reconstruction using voxel representation in a block-wise manner. By constructing a dynamic graph structure for feature extraction, the method aims at restore 3D models with fewer holes and local details. In the feature extraction stage, local pooling is employed within each point cloud block to address the problem of nonsignificant texture feature loss. To tackle the issues of geometric constraint loss and insufficient scene semantic information caused by block-wise processing, a feature fusion method between adjacent blocks is proposed to learn richer scene semantic information and long-range dependencies between points. By learning features within and between blocks, each point retains as much geometric information as possible, mitigating the problem of geometric information loss due to voxelization. During the surface generation, interpolation is used to infer the occupancy value for each point, and the Marching Cubes algorithm is employed for three-dimensional surface reconstruction. Experimental validation on object-level (ShapeNet dataset) and scene-level (Synthetic Rooms dataset, MatterPort3D dataset for real-world scenes) datasets demonstrates the effectiveness and advancement of the proposed method.

Nursing Students' Occupational Motivation, Occupational Commitment Levels and Related Factors

Nursing students' occupational motivation and commitment levels are essential for their development and success. Therefore, this study aimed to determine nursing students' occupational motivation, commitment levels, and related factors. The descriptive and cross-sectional study data were collected between March and April 2023. The study sample consisted of 326 students studying at the Nursing Departments of the Faculty of Health Sciences of two universities in a province of Türkiye in the 2022-2023 academic year. The data were collected using the Personal Information Form, Four-Dimensional Occupational Commitment Scale, and Motivation’s Resources and Problems Scale. It was determined that the occupational commitment levels, motivation levels, and academic achievements of the students differed according to the students' years, the high school they graduated from, the state of choosing the nursing department willingly, the state of being satisfied with school life, the reason for choosing the nursing profession, the willingness to do postgraduate education. In addition, there is a significant relationship between students' occupational commitment and occupational motivation. Educating students about occupational values is necessary to ensure occupational development. By developing strategies related to these factors affecting students, it is possible to train professional nurses with high occupational motivation and commitment to their profession.

Interpreting technology: Use and non-use of doctor-patient video consultations in Danish general practice

This study uses socio-cognitive theory on technological frames to understand how and why general practitioners in Denmark use or choose not to use video consultations. Video consultations play a vital role in the digitalisation of the Danish healthcare system. Whilst political decision-makers continuously push for increased use of video consultations, uptake accounts for less than 2% of all consultations. Research is needed that explores the actual circumstances and conditions of video consultation use. Our data corpus consists of 30 semi-structured interviews conducted from August 2021 to August 2022 with 27 Danish general practitioners. Interviews were analysed following reflexive thematic analysis. Our findings show that video consultations are interpreted as 1) compromising occupational values, 2) a crisis tool, 3) the future, and 4) a tool to improve work conditions. Video consultations are differently adopted across clinics due to different interpretations of the technology and its relative advantage in specific clinical contexts. We argue that the concept of technological frames offers a useful analytic perspective for elucidating and anticipating attitudes and actions towards a technology. It increases our understanding of the uptake and rejection of video consultations. This knowledge is valuable for clinicians and politicians working with technological innovation in general practice.

The Mediating Effects of Job-Seeking Anxiety on the Relationship between the Occupational Values and Career Preparation Behavior of University Students

The Mediating Effects of Job-Seeking Anxiety on the Relationship between the Occupational Values and Career Preparation Behavior of University Students

Sustaining the unsustainable: meaningful longevity and the doing of coaching

The purpose of the paper is to propose a reconceptualization of coaching as a more sustainable profession. This is not to merely claim that current coaching practice, complete with its anxiety and compulsive tendencies, is unproblematically unsustainable. Rather, it is to position coaching, inclusive of such inclinations, as viable and workable for those who do it. It is subsequently argued that change needs to occur at both individual and institutional levels. The former declares for greater critical consciousness, meaningful experiences, and occupational value for coaches, while the latter argues for a recognition that the perceived structures of coaching are socially configured considerations arising, in essence, from agential practice. In addressing the question of ‘how can coaching be considered sustainable?’ the paper thus argues for a change not in the nature of coaching itself, but through developing its ‘professional meaningfulness’ from within.

Learning Implicit Neural Representation for Satellite Object Mesh Reconstruction

Constructing a surface representation from the sparse point cloud of a satellite is an important task for satellite on-orbit services such as satellite docking and maintenance. In related studies on surface reconstruction from point clouds, implicit neural representations have gained popularity in learning-based 3D object reconstruction. When aiming for a satellite with a more complicated geometry and larger intra-class variance, existing implicit approaches cannot perform well. To solve the above contradictions and make effective use of implicit neural representations, we built a NASA3D dataset containing point clouds, watertight meshes, occupancy values, and corresponding points by using the 3D models on NASA’s official website. On the basis of NASA3D, we propose a novel network called GONet for a more detailed reconstruction of satellite grids. By designing an explicit-related implicit neural representation of the Grid Occupancy Field (GOF) and introducing it into GONet, we compensate for the lack of explicit supervision in existing point cloud surface reconstruction approaches. The GOF, together with the occupancy field (OF), serves as the supervised information for neural network learning. Learning the GOF strengthens GONet’s attention to the critical points of the surface extraction algorithm Marching Cubes; thus, it helps improve the reconstructed surface’s accuracy. In addition, GONet uses the same encoder and decoder as ConvONet but designs a novel Adaptive Feature Aggregation (AFA) module to achieve an adaptive fusion of planar and volume features. The insertion of AFA allows for the obtained implicit features to incorporate more geometric and volumetric information. Both visualization and quantitative experimental results demonstrate that our GONet could handle 3D satellite reconstruction work and outperform existing state-of-the-art methods by a significant margin. With a watertight mesh, our GONet achieves 5.507 CD-L1, 0.8821 F-score, and 68.86% IoU, which is equal to gains of 1.377, 0.0466, and 3.59% over the previous methods using NASA3D, respectively.

Study of population and conservation of Dendrobium capra J.J. Smith, an endangered and endemic orchid from Java Island, Indonesia

Various plant species on Java Island are facing the threat of extinction. Dendrobium capra is an endemic orchid from East Java designated as a species with endangered status. This study aims to determine the distribution, population status, and microclimate conditions and update the conservation status of D. capra using the IUCN Red List Category and Criteria. The current population size, structure, distribution, and habitat preferences are presented. This study also investigates the phenology of D. capra for the propagation program and contributes to the latest updates on D. capra populations in their natural habitat. D. capra has an Area of Occupancy (AOO) value of 7.00 km2. These values meet criterion B (AOO < 10 km2), and D. capra is not found in conservation areas and has a very high risk of extinction in the wild. With only found in Bojonegoro regency, this study proposes assessing D. capra as a Critically Endangered (CR). The orchid has been conserved as a part of ex-situ collections in the Purwodadi Botanic Garden.

간호대학생의 그릿, 전공만족도, 직업가치관이 간호전문직관에 미치는 영향

Objectives The purpose of this study was to investigate the grit, major satisfaction, occupational value and nursing professionalism of nursing students and to provide evidence for the development of various programs to improve nursing professionals. Methods Data were collected through an online survey using structured questionnaire from July 5 to July 25, 2022, 178 students in third and fourth grades at nursing universities located in City C and City Y. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis were performed on the collected data using the SPSS program. Results As a result of the study, the mean scores of nursing professionalism of nursing students was 3.98±0.55 (range 1-5). The nursing professionalism of nursing students was statistically related to grit (r=.19, p=.010), major satisfaction (r=.46, p&lt;.001), occupational value (r=.54, p&lt;.001) showed a significant positive correlation. Factors significantly influencing nursing professionalism of nursing students were occupational value (β=.43, p&lt;.001), and major satisfaction (β=.17, p=.036). The explanatory power of related variables was 31%. Conclusions Based on the results of this study, it is necessary to develop a program to improve occupational values and major satisfaction in order to establish nursing professionals for nursing college students.

Cross-Cultural Adaptation, Reliability, and Convergent Validity of Occupational Self-Assessment for Brazilian Portuguese.

The Occupational Self-Assessment version 2.2 (OSA) is a self-assessment of the client's occupational competence and values. To describe the process of cross-cultural adaptation of OSA into Brazilian Portuguese (OSA-Brazil) and examine its reliability and validity for use with the Brazilian population. Assessment translation was guided by two international guidelines for cross-cultural adaptation of standardized instruments. Face validity was tested with 24 participants. Internal consistency, test-retest reliability, and convergent validity were tested with a convenience sample of 40 participants. The cross-cultural adaptation process concluded with a consensus among the expert panel review (r > 80%) and evidence of strong face validity. The OSA-Brazil demonstrated appropriate test-retest reliability (r > 0.70) and convergent validity with the 36-Item Short-Form Health Survey (SF-36) (p < .05). The OSA-Brazil has good face validity, test-retest reliability, and convergent validity. The assessment can be used by the Brazilian occupational therapists to assess client's occupational competence.

The Work Ecosystem: Software Technology Diversity and the Value of Occupations

The Work Ecosystem: Software Technology Diversity and the Value of Occupations

Inequalities in the Transition to University: A Qualitative Study on the Social Class Position

This study aims to understand the effect of inequality patterns on students' transition to university on the axis of social class positions and the role of universities in perpetuating these inequalities. The conceptual framework is discussed within the economic and cultural capital framework, which forms the center of Pierre Bourdieu's "reproduction theory". The single-case embedded design, which is a type of qualitative research method, was used in the study. The study consisted of 38 students studying engineering, social sciences, and language at Ankara Yıldırım Beyazıt and Bilkent Universities during the 2020-2021 academic year. The research data were collected through in-depth interviews using a semi-structured interview form. Data were analyzed using MAXQDA 2018 Analytics Pro qualitative analysis program with descriptive structural analysis and visualized with two case models. The results obtained in the study are as follows: Parents' income level, education level, occupation and educational values affect students' transition to university. Students' cultural capital shapes their preparation process for university, their choice of department/university, and results in unequal positions in their placement at the university. While the majority of AYBU students see university education as an activity that will enable them to work in the public sector and earn a regular income, the majority of Bilkent students see university education as an investment that will enable them to work in the private sector and earn a high income and prestige in the future. As a result of the study, it was suggested that the dependence on the central exam be reviewed to lessen the effect of social and economic factors on the transition to higher education.

Theoretical verification on adsorptive removal of caffeine by carbon and nitrogen-based surfaces: Role of charge transfer, π electron occupancy, and temperature

Eliminating an emerging water pollutant, caffeine molecules, from an aqueous solution using carbon and nitrogen-based adsorbents is of significant interest to public health. These adsorbents have been shown to have decent adsorption capacity toward caffeine due to their surface functionality. Therefore, screening various carbon and nitrogen-based surfaces can be a better option for high-performance adsorbents to remove caffeine efficiently from wastewater. Herein, we present combined first principles and molecular dynamics quantification of the adsorption enthalpies of caffeine molecules on the possible active sites of carbon and nitrogen-based adsorbents (graphene, phagraphene, graphdiyne, single-wall carbon nanotube, fullerene, and graphitic carbon nitride) with the incorporation of Van der Waals interactions. From the DFT calculations, N-doped carbon surfaces show the highest adsorption energies of single and dimer CAF compared to pristine carbon-based adsorbents. A charge density difference and Bader charge analysis display that high charge transfer occurs between the caffeine's oxygen and the surface's nitrogen atoms. An abundance of π-electrons from the nitrogen atoms, composed of large electron clouds of aromatic rings on the graphitic carbon surface, tends to favor extensive π-π interactions with the caffeine molecule. The high value of pz electron occupancy (1.445) of N in the hexagonal ring of the graphitic surface transfers additional charge transfer, which leads to strong adsorption energy of CAF than pristine surfaces. Also, the g-C3N4 surface adsorbs the CAF molecule with higher adsorption than other N-doped carbon surfaces due to the high pz_eo (1.5448) of N atoms on the surface. At 310 K, the water molecules' kinetics aids the single and dimer caffeine molecules to adsorb with the highest adsorption energies on the active sites of g-C3N4 surfaces than graphene adsorbent.

MZ세대의 직업 가치관과 대학 생활 만족도의 관계

Objectives The purpose of this study was to empirically examine the structural relationship between job values, career planning, and college life satisfaction among the MZ generation.&#x0D; Methods Structural Equation Modeling (SEM) using R was used in this study to analyze the structural relationship between job values, career planning, and college life satisfaction using data from the 14th (2020) of the Youth Panel (YP) survey.&#x0D; Results The study found that career planning among the MZ generation partially mediates the relationship between their job values and university life satisfaction. Students' intrinsic job values have a direct impact on their university life satisfaction, and this impact is particularly high through career planning. Higher perceived intrinsic job values positively influence career planning, which in turn, has a positive effect on university life satisfaction.&#x0D; Conclusions Based on the research findings, the following suggestions are proposed for university innovation. First, a reassessment of career education programs at universities is necessary, as well as the development of systematic programs. Career education should go beyond simple understanding and information about the job world and consider how to induce self-goal setting and higher intellectual pursuit. Second, as part of policies to increase student satisfaction, there is a need to include changes and improvements in the perception of careers. In particular, in improving university education, detailed learner analysis that can reflect inherent values in addition to the latest trends in each field of study should precede. Third, it is necessary to establish career competence enhancement programs that can foster students' inherent occupational values and a system that can visibly link these programs to university life achievements.

Differences in occupational values, communication types, job satisfaction, and organisational commitment among clinical nurses across generations.

This study examined occupational values, communication types, job satisfaction, and organisational commitment among clinical nurses across generations. Participants were 159 clinical nurses. Data were collected from 1 to 15 August, 2022, using a self-reported questionnaire. Statistically significant differences were observed across generations in terms of job satisfaction (F = 3.492, p = 0.03) and organisational commitment (F = 4.371, p = 0.01). However, there were no differences in occupational values (F = 0.765, p = 0.47) or communication types (F = 1.744, p = 0.18) among clinical nurses across generations. There was a moderate to strong positive correlation between job satisfaction and organisational commitment across all generations, and a moderate positive correlation between job satisfaction and occupational values among Generations Y and Z. To improve the quality of nursing care, various intervention programs based on the generational gap among clinical nurses need to be developed, to reduce conflicts, and ultimately establishing the necessary systems through mutual understanding of education.

A bottom-up approach for community load prediction based on multi-agent model

Accurate prediction of community load is a prerequisite for community-scale demand matching and energy management. However, community-scale load prediction methods are challenging in characterizing complex energy-use scenarios caused by different building types and complicated occupant behaviors. The occupant behavior is the primary source of discrepancy between the predicted and realistic building performance, and this discrepancy will further widen on the community scale. This paper established the community occupant agent model (COAM) to generate occupancy data. The model delineates the agent system boundary from the perspective of complex adaptive systems (CAS). Anylogic was used to randomize and represent the decision behavior of community occupants. The bottom-up community building energy modeling (CBEM) workflow was applied to the case community of Xi'an (China). The measured and simulated values of the community building occupancy were compared, indicating the model's ability to reflect the interactions between single occupants and community building. The case community heating loads under different heating patterns were analyzed, and the workflow performance was evaluated. The proposed method might guide the district energy system to formulate the management strategy in the energy planning stage.