Diverse Facilities Research Articles

Assessing community awareness and participation in health facility governing committees in two districts of Tanzania: a cross-sectional study

BackgroundTanzania has been promoting community participation in health, either directly or through health facility governing committees (HFGCs), as part of its wider, ongoing health system reforms since the 1990s. Although some studies have assessed the functioning of the HFGCs, little is known about community knowledge and involvement in their activities.MethodsA cross-sectional survey assessing community awareness and participation in HFGCs was conducted between July and October 2022, involving two rural districts of Tanzania, which were selected based on their performance: Handeni, showing low performance and Mbarali, high performance. A total of 1,184 household heads living in the catchment areas of diverse facilities were involved. Frequencies and percentages were calculated overall and by district. The Chi-squared test was applied to assess statistically significant differences in knowledge, awareness, and participation between the districts.ResultsThe results revealed that 85.3% of the participants were unaware of the presence of the HFGCs and 91.7% did not know their roles. Additionally, 87% had neither heard nor seen any announcement about the selection of committee members. Only 14.5% considered that HFGCs were accountable to the community. While 96.7% of the respondents said they had never received any feedback from the HFGCs, only 8.1% reported that HFGCs were collecting views from the community. Regarding participation, 79.9% believed that the community had not been supporting their activities; however, 44.7% believed that the committees were important in improving health service delivery. Feedback and support were more common in Handeni.ConclusionThe level of community awareness of and participation in HFGCs was very low in both districts. The Ministry of Health and the President’s Office of Regional Administration and Local Government should implement an action plan to raise community awareness of the role of the HFGCs and their significance in promoting social accountability within the Tanzanian health system.

Exploring the Readiness of the Hospitality Industries in Sorsogon City for Halal Tourism

This study utilized a mixed method research design to evaluate the readiness of hospitality industries in Sorsogon City for halal tourism. Hotel owners, managers, and staff from 14 DOT-accredited establishments served as primary respondents. The research assessed the hospitality industry’s preparedness to cater to the growing Muslim tourist market. It examined stakeholders’ awareness of halal principles, focusing on food, amenities, and facilities. Challenges and strategies for halal tourism adoption were also explored. Findings revealed a fair level of readiness among hotel owners in providing halal food and alcohol- free environments, but a lower capacity to offer diverse halal amenities and facilities. Hotel staff demonstrated fair readiness in accommodating Muslim guests. Key challenges included infrastructure limitations, staff training needs, and operational complexities. Based on these findings, an action plan for promoting halal tourism in Sorsogon City was developed. This study contributes to fostering inclusivity and cultural diversity within the Philippine tourism industry.

Expansion of Digital Technology Use in the Korean Social Work Field

This study aims to examine the status of digital technology utilization in diverse social work facilities and to understand practitioners’ perceptions of digitalization in the social work field in South Korea. To achieve this, focus group interviews were conducted with a total of 32 social work practitioners from various social welfare organizations in South Korea. The results of thematic analysis revealed that there are four main factors affecting the usage of digital technology, five main types of digital technologies, four principal outcomes, and five challenges. To gain a more comprehensive understanding of the digital transformation that has occurred in social work, it is suggested that future in-depth studies should be conducted from the client’s perspective and that future quantitative research should include more cases. Altogether, this study contributes to establishing a foundation for future research to determine the directions of and challenges involved in social work practice in the digital age.

Encouraging cycling through the improvement of streetscape perception: A bottom-up investigation into the relationship between street greening and bicycling volume

Enhancing neighborhood greenery quality proves to be an effective tactic in encouraging active travel among residents. From a cyclist's perspective, this study quantitatively evaluates street greening quality and its association with cycling behaviors. Utilizing shared bicycle usage data and SegNet-analyzed Baidu Street Views on Xiamen Island, we quantified comprehensive street greening quality. We then employed Spatial Design Network Analysis and a street greening quality rating scale to assess accessibility and aesthetics. Subsequently, models were developed using OLS, spatial autocorrelation, and Moran's I statistical methods, complemented by a spatial heterogeneity analysis of factors influencing shared bicycle riding behaviors through the Geographically Weighted Regression (GWR) model. Our study reveals that in arterial and commercial districts, the appeal and variety of street greening elements are more crucial than their quantity. These quality indicators exhibit a polycentric, continuous spatial distribution, aligning with the overall street layout. Beyond the visual impact of greenery on cycling behavior, factors like richness, openness, and safety of streets, along with diverse facilities, significantly influence cycling route preferences. In contrast, uniform street elements can disrupt or even discourage cycling. This research, by analyzing the relationship between street greening quality and cycling intensity, offers valuable insights for policymakers in prioritizing the transformation of streets into bike-friendly zones. Additionally, we propose a pragmatic, bottom-up approach to developing bicycle-friendly urban environments, indirectly fostering healthier travel habits among urban residents.

Component, design, and prospects of self-consistent energy systems for transport infrastructures

ABSTRACT This paper introduces a Transportation Self-Consistent Energy System (TSCES) to meet the increasing electricity requirements of transport infrastructure in various traffic environments, including highway, railway, and waterway. The TSCES consists of four primary components: power source, load, energy storage, and interconnected microgrid. The power source component can be categorized into natural energy endowment and energy-electricity conversion components. Load components can be classified, quantified, and forecasted based on diverse transportation facilities, traffic volume, and importance levels. Energy storage components necessitate thorough consideration of the technical attributes of various energy storage methods, along with the functional requirements of the traffic environment, power sources, and loads. Interconnected microgrid components establish connections among all components, followed by configuration optimization and choosing appropriate network topological structures based on techno-economic conditions, ensuring that all components adhere to constraints imposed by transportation space, regulations, and policy indicators. Additionally, the design procedure and architectural patterns of TSCES are presented, which indicates that the TSCES has excellent adaptability and research application value in the field of transportation.

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

We introduce the largest abdominal CT dataset (termed AbdomenAtlas) of 20,460 three-dimensional CT volumes sourced from 112 hospitals across diverse populations, geographies, and facilities. AbdomenAtlas provides 673 K high-quality masks of anatomical structures in the abdominal region annotated by a team of 10 radiologists with the help of AI algorithms. We start by having expert radiologists manually annotate 22 anatomical structures in 5,246 CT volumes. Following this, a semi-automatic annotation procedure is performed for the remaining CT volumes, where radiologists revise the annotations predicted by AI, and in turn, AI improves its predictions by learning from revised annotations. Such a large-scale, detailed-annotated, and multi-center dataset is needed for two reasons. Firstly, AbdomenAtlas provides important resources for AI development at scale, branded as large pre-trained models, which can alleviate the annotation workload of expert radiologists to transfer to broader clinical applications. Secondly, AbdomenAtlas establishes a large-scale benchmark for evaluating AI algorithms—the more data we use to test the algorithms, the better we can guarantee reliable performance in complex clinical scenarios. An ISBI & MICCAI challenge named BodyMaps: Towards 3D Atlas of Human Body was launched using a subset of our AbdomenAtlas, aiming to stimulate AI innovation and to benchmark segmentation accuracy, inference efficiency, and domain generalizability. We hope our AbdomenAtlas can set the stage for larger-scale clinical trials and offer exceptional opportunities to practitioners in the medical imaging community. Codes, models, and datasets are available at https://www.zongweiz.com/dataset.

Health Equity Factors and Healthcare-Associated Infections in Louisiana Facilities, 2022

Background: Health equity is a critical consideration in public health research, emphasizing the importance of fair and just access to healthcare resources. This study explores the impact of health equity factors on the incidence rates of Central Line-Associated Bloodstream Infections (CLABSI) and Methicillin-Resistant Staphylococcus aureus (MRSA) across diverse healthcare facilities in Louisiana. Methods: We conducted a comprehensive analysis utilizing 2022 data from the National Healthcare Safety Network (NHSN). Fourteen healthcare facilities were randomly selected from nine regions in Louisiana, with guidance from the 2022 NHSN external validation toolkit. Key health equity factors from Health Resources and Service Administration (HRSA) were assessed, including urbanicity, MUA/P, and HPSA_Primary Care. Risk ratios were calculated to quantify the association between these health equity factors and the incidence rates of CLABSI and MRSA. Results: The findings reveal intriguing insights into the relationship between health equity factors and infection rates. In urban settings, the risk of CLABSI was lower (Risk Ratio: 0.634, 95% CI: 0.2442–1.646), contrasting with a significantly higher risk of MRSA (Risk Ratio: 1.7, 95% CI: 1.119–2.582). This suggests a complex interplay between urbanicity and the specific infection types. For MUA/P, no significant impact on CLABSI rates was observed (Risk Ratio: 0.963, 95% CI: 0.4225–2.195), but an increased risk of MRSA emerged (Risk Ratio: 1.652, 95% CI: 1.029–2.652). In healthcare professional shortage areas for primary care (HPSA_Primary Care), both CLABSI (Risk Ratio: 1.37, 95% CI: 0.5854–3.204) and MRSA (Risk Ratio: 2.098, 95% CI: 1.305–3.372) exhibited elevated risks, though only MRSA risk was statistically significant. Conclusions: This research underscores the nuanced relationship between health equity factors and infection rates in healthcare facilities. Urban settings may contribute to a lower risk of CLABSI but a higher risk of MRSA, emphasizing the need for tailored preventive strategies. Living in medically underserved areas appears to heighten the risk of MRSA, warranting targeted interventions. Additionally, healthcare professional shortage areas for primary care demonstrate potential associations with increased risks for both CLABSI and MRSA. These findings provide valuable insights for public health practitioners, policymakers, and healthcare administrators aiming to address health disparities and enhance infection control measures in diverse healthcare settings. Further research is encouraged to unravel the multifaceted dynamics influencing infection rates and to inform targeted interventions for improved health outcomes.

Cultural Competency Challenges Certified Nursing Assistants Experience in Providing Palliative Care.

Increasing racial and ethnic diversity in U.S. nursing facilities has necessitated the provision of more culturally competent care. This study explored the cultural challenges in providing palliative care from the perspective of certified nursing assistants (CNAs) and nurses in nursing facilities. A thematic analysis approach was used to examine data from semi-structured interviews with 12 CNAs and 11 nurses from six nursing facilities in a U.S. Midwestern state. Four themes emerged from the data: Cultural Needs Expressed by Residents, Cultural Needs Expressed by Family Members, Accommodating Residents' Cultural Needs, and Organizational Responses to Cultural Competency Challenges. Results highlighted the training variations on diversity and cultural competency issues and the varying cultural competency levels possessed by staff. To support residents' culture-related needs, staff need education and support. Organizations can provide foundational resources for this diversity of cultural expression, including providing more culturally diverse programming facilities. [Journal of Gerontological Nursing, 50(7), 35-41.].

Assessing the Impact of Transportation on Seal Behaviour: A Case Study from Ísafjörður, Iceland.

This study explores the behavioural responses of seals to various disturbances while hauling out within a transport hub featuring diverse transport facilities. Utilising Factor Analysis of Mixed Data (FAMD) on observations from September 2021 to May 2023 in Ísafjörður, Iceland, the research reveals that watercraft, particularly kayaks, significantly affect seal haul-out behaviour, triggering vigilance and flush responses. Aerial vehicles also induce stress responses, whereas road-based vehicles have lower impacts. These findings highlight the substantial influence of human activities, especially transportation, on seal haul-out behaviour, suggesting a need for mitigating strategies to reduce these impacts.

Mapping spiritual care in small and critical access hospitals in a faith-based US Health system

Little is known about spiritual care in small hospitals and critical access hospitals (CAHs), essential sources of health care in rural areas of the US. Using interview-administered surveys with spiritual care providers, we examined spiritual care services in 19 facilities, including seven small hospitals, nine CAHs, and three freestanding emergency departments, in one religiously-owned healthcare system. We identified four groups of facilities based on intensity/frequency of chaplain availability. A central finding was the variation in spiritual care services provided in these diverse facilities. Of the 16 hospitals in the sample, 11 of them (69%) offered spiritual care from professional chaplains at least three days per week. Support for staff was an important priority in all the facilities. Needs identified include virtual training and support for the spiritual care providers in these settings. Future research should replicate this study in a representative sample of hospitals that serve the rural US population.

Model-based individual life-spanning documentation in visceral surgery: a proof of concept.

Surgical documentation has many implications. However, its primary function is to transfer information about surgical procedures to other medical professionals. Thereby, written reports describing procedures in detail are the current standard, impeding comprehensive understanding of patient-individual life-spanning surgical course, especially if surgeries are performed at a timely distance and in diverse facilities. Therefore, we developed a novel model-based approach for documentation of visceral surgeries, denoted as 'Surgical Documentation Markup-Modeling' (SDM-M). For scientific evaluation, we developed a web-based prototype software allowing for creating hierarchical anatomical models that can be modified by individual surgery-related markup information. Thus, a patient's cumulated 'surgical load' can be displayed on a timeline deploying interactive anatomical 3D models. To evaluate the possible impact on daily clinical routine, we performed an evaluation study with 24 surgeons and advanced medical students, elaborating on simulated complex surgical cases, once with classic written reports and once with our prototypical SDM-M software. Leveraging SDM-M in an experimental environment reduced the time needed for elaborating simulated complex surgical cases from 354 ± 85s with the classic approach to 277 ± 128s. (p = 0.00109) The perceived task load measured by the Raw NASA-TLX was reduced significantly (p = 0.00003) with decreased mental (p = 0.00004) and physical (p = 0.01403) demand. Also, time demand (p = 0.00041), performance (p = 0.00161), effort (p = 0.00024), and frustration (p = 0.00031) were improved significantly. Model-based approaches for life-spanning surgical documentation could improve the daily clinical elaboration and understanding of complex cases in visceral surgery. Besides reduced workload and time sparing, even a more structured assessment of individual surgical cases could foster improved planning of further surgeries, information transfer, and even scientific evaluation, considering the cumulative 'surgical load.' Life-spanning model-based documentation of visceral surgical cases could significantly improve surgery and workload.

Evaluating 15-minute walkable life circles for the senior: a case study of Jiande, China

ABSTRACT Walking is the primary travel mode for daily errands, leisure, and accessing local services, particularly for most seniors. Sufficient and diverse facilities within walking distance help improve seniors’ well-being. Countries today face the challenge of providing enough facilities for more seniors and adopt some possible solutions, such as China’s 15-minute community life circle. Focused on Jiande, a medium-sized city in southeast China, we propose an assessment framework with three dimensions: availability, diversity, and balance among medical, living, and leisure facilities. Using GIS network analysis, this study reveals disparities in facility provision at the household-level between earlier and newer developed urban areas, which are closely related to geographical factors and gated communities. This is common in Chinese cities, suggesting the cumulative effects of urban development sequences. To alleviate and prevent serious service inequity, we propose the following two strategies to achieve an equally walkable city: increasing landscape services to overcome geographical obstacles and implementing open-gated community strategies. Furthermore, the limitations of relying solely on big data to calculate walking routes were noted. This diagnostic framework for assessing city environments for seniors is straightforward yet comprehensive and potentially promotes cooperation between planning professionals, policymakers, and the public.

Evaluation method investigation of public decontamination time in off-site nuclear emergency under the influence of human factors

Decontamination is an important means to reduce the personnel radioactive contamination under sever nuclear accidents. Public decontamination time estimation with the process simulation is helpful for emergency organizations to improve efficiency. To date, most studies focus on improving personal decontamination technology and decontamination strategies, while research on the overall decontamination process and time estimating is limited. Due to the complex population structure, the unknown contaminated proportion and the complicated psychological emotions, it is hard to quantify the decontamination process and calculate the decontamination time with numerous procedures and diverse facility configurations. Combined with public contaminated proportion, crowd structure and waiting psychology, a public decontamination model based on queuing theory and system dynamics method is established for offsite nuclear emergency to simulate the decontamination process and give an estimate of decontamination time. A hypothetical nuclear leakage accident of Changjiang Nuclear Power Plant in Hainan, China is conducted to simulate the established model. The results show the working status of different facilities at different stages and the changes in waiting queues at different times, which can effectively calculate the duration time of each link and the overall public decontamination progress. A plan for adding devices is provided to meet the decontamination time requirements and control the number of waiting queues within the specified threshold efficiently. The method proposed in this paper could help nuclear emergency decision-makers estimate the public decontamination time, optimize site configuration plans, give guidance on public decontamination procedures and prepare for the subsequent nuclear emergency evacuation.

Mitigation of Erosion Wear Produced by Fly-Ash Slurry on 90<sup>0</sup> Elbow by Changing the Cross-Section Shape and Area Ratio

The predominant method of transporting fly ash involves conveying it in slurry form through pipelines within diverse industrial facilities. The key elements of slurry conveyance encompass bends, pumps, and valves. These components of the pipeline endure significant erosion and wear due to the impact of discrete particles. In this investigation, the study assessed the wear induced by slurry erosion in conventional 900 pipe bend and 900 square section elbows of different area ratios using ANSYS Fluent. The discrete phase model was used to estimate the slurry erosion wear for the fly ash-water suspension. From the investigation, the outcomes from the standard k-turbulence model were discovered to be in agreement with the experimental data. This study also looked at a number of other influencing factors, such as the solid concentration and velocity. The analysis reveals that the average erosion wear is lower in the square cross-section elbow compared to the standard elbow. Furthermore, the erosion wear is observed to decrease further with an increase in the cross-sectional area of the square section elbow.

Machine learning prediction of prognosis in lung cancer with inter-institutional generalizability: A multicenter cohort study (WJOG15121L: REAL-WIND).

8571 Background: Recent advances in machine learning have improved the accuracy of prognosis prediction of cancer. The applicability of algorithm creation methods to data from various institutions that were not utilized for algorithm training should be established to create an ML algorithm suitable for clinical practice for patients at various facilities. However, no large-scale studies have validated the inter-institutional generalizability of this algorithm across different institutions. Methods: We conducted a multicenter, retrospective, hospital-based cohort study of consecutive patients diagnosed with stage IV lung cancer between January 2016 and December 2020. The study population was randomly categorized into the training and independent test cohorts with a 2:1 ratio. The primary metric to assess algorithm performance was the area under the receiver operating characteristic curve in the independent test cohorts. To assess the inter-institutional generalizability of the algorithm, we investigated its ability to predict patient outcomes in the remaining facility after being trained using data from 15 other facilities. Results: We enrolled 6751 patients with stage IV lung cancer from 16 institutions in Japan. The median age was 70 years, and 4,421 (65%) had a PS score of 0 or 1. As a driver oncogene, 1,515 (22%) patients had mutated EGFR. The algorithm performance metrics in the test cohort showed that the area under the receiver operating characteristic curve values ranging from 0.83 to 0.90 across different predicted survival days (180 to 1080). The performance test of 16 algorithms for investigating inter-institutional generalizability showed median areas under the receiver operating characteristic curve of 0·87 (range, 0·84–0·92), 0·84 (range, 0·78–0·88), 0·84 (range, 0·76–0·89), and 0·84 (range, 0·75–0·90) at 180, 360, 720, and 1080 days, respectively. Specifically, at 180 predicted survival days, the AUC for the performance of algorithms classified based on facilities exceeded 0.8 for all algorithms (16/16). Similarly, the AUC exceeded 0.8 for 15/16, 12/16, and 12/16 facilities at 360, 720, and 1080 days, respectively, indicating a high degree of inter-institutional generalizability of the algorithm creation method. Conclusions: This large-scale study showed that our ML algorithm can accurately predict prognosis in patients with stage IV lung cancer. Furthermore, the algorithm creation method demonstrated a high degree of inter-institutional generalizability. Therefore, our ML algorithm can be generalized to various hospitals and implemented in clinical practice to benefit patients across diverse healthcare facilities.

Long-short term memory networks aided fault detection of power facilities

In recent years, long-short term memory (LSTM) networks have emerged as a promising tool for time-series analysis, offering the ability to capture temporal dependencies effectively, especially for the fault detection in power facilities which is crucial for maintaining operational integrity and ensuring continuous power supply. This paper presents a study on the utilization of LSTM networks for fault detection in power facilities, focusing on evaluating the detection accuracy as a performance metric. We propose a novel LSTM-based fault detection framework that utilizes historical operational data to identify abnormal patterns indicative of faults or anomalies. The framework is trained on labeled data to learn the normal operational behavior of the power facility, enabling it to detect deviations from expected patterns in practical data streams. To assess the effectiveness of the proposed approach, extensive experiments are conducted using real-world operational data from diverse power facilities. We systematically evaluate the detection accuracy of the LSTM-based fault detection system under various operating conditions, including different types of faults and levels of noise in the data. Comparative analyses are performed against traditional fault detection methods to demonstrate the superiority of the LSTM-based approach in terms of accuracy. Moreover, sensitivity analyses are conducted to investigate the impact of key parameters, such as network architecture and training data size, on the detection performance. The results illustrate the robustness and effectiveness of the proposed LSTM-based fault detection framework, highlighting its potential for enhancing the reliability and efficiency of power facility operations.

Beyond built environment: Unveiling the interplay of streetscape perceptions and cycling behavior

As an important means of shared micro-mobility, shared bicycles have become a crucial component of urban transportation in China. The impact of the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement the built environment? We first obtained millions of pieces of shared-cycling data from the Shenzhen Open Data Platform and carried out geographical quantification of BSV. As for streetscape, we improved the classification of subjective streetscape perception based on street view images using the k-means clustering algorithm and conducted predictions using XGBoost. Through the application of different regression models, we unveiled the nonlinear spatial interdependencies between BSV and streetscape perceptions as a complement to the built environment. Our findings indicate that greenery, vivid street-front facades, and diverse street facilities can promote BSV. Targeted strategies are proposed for different districts. For instance, urban planners can provide incentives for high-income groups in central urban areas to adopt active travel, and increase the supply of shared bicycles in suburban areas with high building density, particularly in industrial urban villages. As a supplement to the long-term planning recommendations derived from the macro-built environment analysis, an in-depth spatial perception quantitative assessment proffers a human-centric, flexible blueprint for urban street design.

Research on the restorative benefits of sky gardens in high-rise buildings based on wearable biosensors and subjective evaluations

BackgroundThe design of sky gardens in high-rise buildings to promote health has recently attracted increased attention. However, little is known about the specific physiologically and psychologically restorative benefits of sky gardens. MethodThis article defined sky garden types according to five indicators in three dimensions based on the characteristics of the high-rise buildings where sky gardens are located: plaza-park, rest-stay and move-pass sky gardens. Typical sky gardens of each type were selected for the subsequent experiment. Thirty-six participants experienced 12 typical case scenarios (432 pictures), and data were collected on physiological responses (skin conductance resistance, SCR; heart rate variability, HRV; electroencephalogram, EEG; and eye movement) and psychological evaluations (emotional valence & arousal self-esteem scale, perceived restrictiveness scale) during the sky garden spatial experience. ResultsThere are significant differences in plaza-park, rest-stay and move-pass type sky gardens, especially in the internal spatial characteristics (size scale, shape index, and elementary richness). The plaza-park sky gardens had better restorative outcomes in visual-physiological (average pupil diameter, average blink count), emotional valence and restrictiveness components of being away, fascination, and coherence. The rest-stay sky gardens had better restorative effects on SCR, HRV, emotional arousal, and compatibility. The move-pass sky gardens had the greatest restorative benefits in the average saccade count. ConclusionsSky gardens in high-rises impact people's physical and psychosocial well-being. The restorative qualities of the three types of sky gardens differ based on their spatial heterogeneity, with large-scale sky gardens, diverse natural landscapes, public facilities, and high void-to-solid ratios having greater restorative potential.

유치원과 어린이집에 대한 부모 요구를 중심으로 한 유보통합 방안 제안

The purpose of this study is to identify the needs of parents for kindergartens and daycare centers in S city and to suggest ways to bridge the gap, and based on this, we intend to propose the direction of integration of kindergartens and daycare centers. In S city, most of the kindergartens are national and public kindergartens, and daycare centers consist of national and public kindergartens, private, workplace, and family daycare centers. It is an area that minimizes the burden on parents and exemplarily presents the operation model of public kindergartens. Therefore, it is intended to identify differences according to the use of parents who use national and public kindergartens and daycare centers, and to suggest ways to resolve them as a way to integrate kindergartens and daycare centers. A focused-group interview was conducted with 54 parents who send their children to kindergartens and daycare centers in S city. As a result, kindergarten parents were satisfied with the lack of parental burden, the operation of children-centered, play-centered curriculum, the sharing of children's learning with parents, the working environment of teachers with low stress index, sufficient and diverse facilities, and high-quality free meals. They were dissatisfied with the deviation of curriculum operation by teacher, specialized activities that are not diverse and high in quality, poor snacks, communication problems with teachers and kindergartens, poor working environment of teachers, and non-flexible operation hours. Parents of daycare centers were satisfied with the operation of various special activities, a variety of morning snacks, easy and comfortable communication, and flexible operating hours, and were not satisfied with the difference in the cost of parents' burden, special activities that are not high in quality, the quality of meals, narrow classroom, lack of communication about learning and growth, and poor teacher working environment. In conclusion, measures to bridge the gap between daycare centers and kindergartens are to ensure equal quality of kindergartens and daycare centers, equalization of curriculum operating hours, complete free education, and equal treatment of teachers.

Identification of Bogor City Square Tourist Attraction Facilities As An Indikator Of Visitor Satisfaction

The title of this research is the identification of facilities in Bogor City Square as an indicator of visitor satisfaction. Research on the identification of facilities in Bogor City Square as an indicator of visitor satisfaction has a significant impact on the management and development of these tourist destinations. In the era of fierce competition in the tourism industry, a deep understanding of the factors that influence visitor satisfaction is the main key to the success of a tourist attraction. This research directly contributes to efforts to improve service quality in Bogor City Square, which in turn can increase the competitiveness and attractiveness of the destination. The place of this research is in Bogor City Square. The research method uses qualitative research. The data used are primary and secondary. The results showed that the diversity of facilities, involving a variety of attractions, activities, and services, provides a richer tourist experience and suits the needs of various visitor segments. Such diversity proved to be a key factor in creating an inclusive atmosphere and flexibility for visitors to customize their visit. The diverse facilities in Bogor City Square make a positive impression and motivate visitors to plan repeat visits and give positive recommendations to others.