Center Operators Research Articles

장애아통합어린이집 운영 실태 및 정책적 요구

Considering the transfer of inclusive daycare centers for disabled children to local offices of education in accordance with the government's policy to integrate children with disabilities, we sought to confirm the current operation status of inclusive daycare centers for disabled children and operational policy requirements. To this end, the director was examined on the operation status of the disability integrated daycare center and the policy demands for the operation of the inclusive daycare center to meet the needs of infants with disabilities and improve the quality of life. To this end, 280 heads of inclusive daycare centers for children with disabilities in Seoul and Gyeonggi-do, which operate inclusive daycare centers for children with disabilities, were targeted. The research tool for conducting this study was based on previous studies related to the operation of inclusive daycare center, the status of operation of inclusive daycare center, and the policy needs of inclusive daycare center. The data were collected during July 2023, and the collected data was verified by background variables using the SPSS 21.0 program. The results of the study were analyzed, including physical environments that are helpful in operating daycare centers, information provided in connection with homes, education that is helpful in operating daycare centers, operational difficulties, policy demands for cost support, and priority support policy demands. This study is meaningful in that it provided basic data for appropriate inclusive education by analyzing the operation status and policy needs of the disabled children's inclusive daycare center for the director of inclusive daycare center. On the other hand, it was also suggested that various studies that could solve the immediate problems in more detail should be requested.

User-Guided Enhancements to a Technology-Facilitated Resilience Program to Address Opioid Risks Following Traumatic Injury in Youth: Qualitative Interview Study.

Youth with traumatic injury experience elevated risk for behavioral health disorders, yet posthospital monitoring of patients' behavioral health is rare. The Telehealth Resilience and Recovery Program (TRRP), a technology-facilitated and stepped access-to-care program initiated in hospitals and designed to be integrated seamlessly into trauma center operations, is a program that can potentially address this treatment gap. However, the TRRP was originally developed to address this gap for mental health recovery but not substance use. Given the high rates of substance and opioid use disorders among youth with traumatic injury, there is a need to monitor substance use and related symptoms alongside other mental health concerns. This study aimed to use an iterative, user-guided approach to inform substance use adaptations to TRRP content and procedures. We conducted individual semistructured interviews with adolescents (aged 12-17 years) and young adults (aged 18-25 years) who were recently discharged from trauma centers (n=20) and health care providers from two level 1 trauma centers (n=15). Interviews inquired about reactions to and recommendations for expanding TRRP content, features, and functionality; factors related to TRRP implementation and acceptability; and current strategies for monitoring patients' postinjury physical and emotional recovery and opioid and substance use. Interview responses were transcribed and analyzed using thematic analysis to guide new TRRP substance use content and procedures. Themes identified in interviews included gaps in care, task automation, user personalization, privacy concerns, and in-person preferences. Based on these results, a multimedia, web-based mobile education app was developed that included 8 discrete interactive education modules and 6 videos on opioid use disorder, and TRRP procedures were adapted to target opioid and other substance use disorder risk. Substance use adaptations included the development of a set of SMS text messaging-delivered questions that monitor both mental health symptoms and substance use and related symptoms (eg, pain and sleep) and the identification of validated mental health and substance use screening tools to monitor patients' behavioral health in the months after discharge. Patients and health care providers found the TRRP and its expansion to address substance use acceptable. This iterative, user-guided approach yielded novel content and procedures that will be evaluated in a future trial.

The Road to Sustainable Logistics: Using the Fuzzy Nonlinear Multi-Objective Optimization Model to Build Photovoltaic Stations in Taiwan’s Logistics Centers

In Taiwan, numerous company logistics centers have embraced installing solar photovoltaic power stations (SPPSs) on their rooftops. The primary objective of this study is to expedite the generation of green electricity for sale, bolstering the logistics center’s income and enhancing its environmental, social, and governance (ESG) profile. How can we secure solar photovoltaic power station (SPPS) projects with expedited construction timelines, reduced investment costs, and heightened quality aligned with the long-term ESG objectives? The study applies the critical path method (CPM) to determine the item’s path. Next, the mothed leverages Zimmermann’s mathematical models for nonlinear multi-objectives and Yager’s fuzzy sets to enhance project efficiency, minimizing completion time and cost while maximizing the quality ratio. Subsequently, the project uses Liou and Wang’s defuzzification values and incorporates Dong’s fuzzy to accelerate calculations. In this case, Project HP’s item J, the construction time is reduced from 24.3 to 3.2 days, ensuring that construction quality meets an 85% standard. Item J necessitates expanding the fuzzy cost interval (4549.90, 15,416.65, 26,283.41) (it refers to a scope of possible costs). It becomes evident that construction time plays a pivotal role in controlling costs. For Project HP’s item H, the unit time quality decision ranges from TWD 238,000 to 240,000, to turn into a cost interval of TWD 215,100, 239,000, and 262,900. Consequently, cost transformation transitions from an active to a more passive role, with quality and construction time becoming the driving components. This study uses a fuzzy nonlinear multi-objective model to guide the decision analysis of SPPSs within logistics centers. This strategy enables decision-makers to streamline logistics center operations, ensuring time, cost, and quality (TCQ) alignment during SPPS installation, thereby advancing ESG sustainability goals.

A five-year case study analysis of USAID local governance programming and public investment spending in post-earthquake Haiti

In the aftermath of the 2010 Haiti earthquake, the central government operations were paralyzed, and municipal officials became even more important as they were more readily able to respond to their constituents’ needs during this time of crisis. The United States Agency for International Development’s (USAID) five-year post-earthquake Limyè ak Òganizasyon pou Kolektivite yo Ale Lwen (LOKAL+) program aimed to bolster the capacity of municipalities – beyond this disaster event – through revenue mobilization activities, within quake-affected and non-quake affected areas. The intended outcome of this effort was to improve local public service delivery throughout Haiti.Nearly all participating LOKAL+ municipalities experienced increased local revenue collection, particularly in property and business taxes, from 2012 through 2017. However, the impact of these increases on public investment spending was not evident even though this was a stated objective of the program. To evaluate whether public services improved in two of the nine LOKAL+ localities, due to USAID’s local revenue mobilization efforts, I employed a case study analysis using descriptive statistics, in-depth interviewing, and content analysis.The findings revealed modest public service improvements in one of the two case study sites. However, the political climate within which LOKAL+ was executed – mainly, the unlawful installation of interim executive agents throughout the country at the time – had an observed impact on the study’s findings. The implications of country-specific political economic realities on the timing of donor-led local governance efforts are underscored, as Haiti continues to navigate compounding political crises – including the assassination of the President in 2021 – since the end of the LOKAL+ program.

Boundedness of Journé operators with matrix weights

We develop a biparameter theory for matrix weights and provide various biparameter matrix-weighted bounds for Journé operators as well as other central operators under the assumption of the product matrix Muckenhoupt condition. In particular, we provide a complete theory for biparameter Journé operator bounds on matrix-weighted L2 spaces. We also achieve bounds in the general case of matrix-weighted Lp spaces, for 1<p<∞ for paraproduct-free Journé operators. Finally, we expose an open problem involving a matrix-weighted Fefferman–Stein inequality, on which our methods rely in the general setting of matrix-weighted bounds for arbitrary Journé operators and p≠2.

Foreign experience in training operators of the Emergency Assistance System for the population via a single telephone number 112

For a person who finds himself in a situation where there is a threat to his life or health, or the life or health of his relatives, the time within which the competent authorities will come to his aid is critically important. In order to respond to emergencies in a timely manner, Ukraine has established a mechanism for responding to citizens' appeals. This mechanism includes the State Emergency Service of Ukraine, the National Police of Ukraine, emergency (ambulance) medical care, emergency gas service and other emergency services. However, it is not entirely convenient to call these services for help, as the call is made by different phone numbers and in situations where a variety of phone numbers will lead to a loss of time and serious consequences.&#x0D; Ukraine's integration into the European community requires our country to review the mechanisms for protecting a person in an emergency situation. It is established that the main purpose of implementing the system of emergency assistance to the single telephone number 112 in Ukraine is to provide timely assistance to European level with the ability to communicate in foreign languages, prompt involvement of necessary emergency services, which is a decisive factor in providing assistance, emergency response.&#x0D; The article also considers the issues of training employees who receive calls to the single emergency number «112», their interaction with each other during the performance of duties at emergency response centers, as well as their interaction with employees who directly provide assistance to scene. It is established that the training of operators who organize the rescue operation is carried out at the police academy.&#x0D; The training system for 112 Centre operators in Estonia is one of the best in the world and can be borrowed for implementation in Ukraine. At the same time, the «Emergency Assistance System for the Population via a Single Phone Number 112» is a rather complex mechanism for the implementation of which, in addition to analysing positive foreign experience, it is necessary to involve a fairly wide range of specialists from various fields, and therefore to create an appropriate regulatory framework to regulate the interaction between different response services.

Deploying Nagios for Service Monitoring and Reporting

NAGIOS is Server Monitoring tool as an important criteria coming to a data center operation and service .Detects all type of network errors or server issues and allowed to monitor the server performance issues by using Nagios. This can be manually and physically monitoring the location of the server and mapping the network interface and network bridge server will be monitor. Count every 10 minutes once the application will be running properly or else store application related bugs in data center. Large organizations always require fast and efficient network monitoring system which reports to the network administrator as soon as a network problem arises. This paper presents an effective and automatic network monitoring system that continuously monitor all the network switches and inform the administrator by E-MAIL or SMS when any of the network switch goes down. An efficient and automatic network monitoring is always required for large organizations like universities, companies and other business sectors where the manual network monitoring is very difficult. Since large organizations have a big network topology, the manual network monitoring causes waste of time to point out problem location.

Analysis of 3,843 Unrelated Donors (URD) for 455 Allograft Candidates Reveals Low URD Availability with Marked Racial/ Ethnic Disparities: Major Implications for Transplant Center & Registry Operations

Introduction: Although hematologic malignancies patients (pts) often require urgent transplants, the degree to which unrelated donor (URD) availability is a barrier to prompt allografting is not established. Methods: We evaluated availability of requested URDs 1/2020-12/2022, overall &amp; by pt ancestry, in 455 consecutive adults with acute leukemia, MDS or MPN who had a formal URD search &amp; for whom ≥ 1 URDs were pursued for confirmatory typing (CT). We also examined donor location &amp; Donor Readiness Score (DRS; the prediction of a donor's likelihood of availability for CT) by pt ancestry. We hypothesized that URD availability is a major barrier to transplant for underserved racial/ ethnic groups &amp; this has not improved in the post-pandemic era. Results: Of 455 pts [median age 63 yrs, range 21-81; 250/455 (55%) with acute leukemia], 74% (335/455) had European (EURO) &amp; 26% (120/455) non-European (non-EURO) ancestry. For these 455 pts, 3,843 URDs (median age 27 yrs, range 17-61; 1,951/3,843 [51%] male) were requested for CT or simultaneous CT-workup; 71% (2,730/3,843) of URDs were for EURO &amp; 29% (1,113/3,843) for non-EURO pts; &amp; 56% (2,140/3,843) were from domestic &amp; 44% (1,703/3,843) international registries. Of 2,775 URDs with an assigned DRS, the median score was 63% (range 16-94%). URDs requested for non-EURO pts were more likely to be domestic [EUROs: 1,411/2,730 (52%) vs non-EUROs: 729/1,113 (65%), p &amp;lt; .001]. Also, URDs for non-EUROs had markedly lower median DRS (EUROs: 71% vs non-EUROs: 52%) with over 15x the proportion with DRS ≤ 30% [EUROs: 30/2,073 (1.5%) vs non-EUROs: 160/702 (23%), p &amp;lt; .001]. Table 1A-C outlines URD availability at CT &amp; workup, overall &amp; by pt ancestry. In summary: At CT, per pt: More non-EURO pts had greater than 10 URDs requested (p = .045), less than 5 URDs that agreed to CT (p &amp;lt; .001), &amp; at least 5 URDs unavailable (p &amp;lt; .001), compared with EUROs.At workup, per pt: For over one-quarter (134/455, 29%), 3-5 URDs were requested. More non-EURO pts had less than 2 URDs that agreed to workup (p = .007) &amp; at least 2 URDs unavailable (p = .017), compared with EUROs.At CT: Only half (2,036/3,843, 53%) of requested URDs were available for CT or CT-workup. URDs were less likely to agree to CT if requested for non-EURO pts ( vs EUROs), if domestic ( vs international), or if lower DRS (p &amp;lt; .001 for each).At workup: Of URDs requested for workup after CT, while 461/598 (77%) agreed, URDs requested for non-EURO pts were less likely to agree (p &amp;lt; .001).Overall: Availability of the 3,843 URDs requested for the 455 pts was low, with less than half available (Fig. 1A). Notably, URDs requested for non-EURO pts had lower availability (p &amp;lt; .001).By ancestry sub-type: African &amp; non-Black Hispanic pts had the lowest URD availability.Over time: When examining 2020-2022, the worse URD availability for non-EURO pts is not improving in the post-pandemic era (Fig. 1B).URD provision: Of pts with ≥ 1 URD who agreed to workup, 12% did not have an URD available within 14 days of the 1st proposed collection date, &amp; of 263 5-8/8 URD recipients for whom a primary URD was selected, over one third (103/263, 39%) were not transplanted with that donor. Of transplanted pts, as expected, non-EURO pts were less likely to receive 8/8 URDs (p &amp;lt; .001) &amp;, for those who did, their URDs were older (p = .018), &amp; 5-7/8 URDs requested for non-EUROs were more HLA-mismatched (p &amp;lt; .001). Conclusions: We demonstrate significant ongoing disparities in URD access that have major implications for transplant center &amp; registry operations. Incorporating careful assessment of pt ancestry, transplant centers should pursue, &amp; registries should permit, simultaneous pursuit of multiple URDs, especially for non-EURO pts, deciding at the outset what degree of HLA-mismatch will be accepted if an URD is desired but an 8/8 URD is unlikely (Davis et al, TCT 2023). Moreover, centers are ethically obliged to inform pts if timely URD procurement is unlikely, especially as these pts are commonly from underserved racial/ ethnic groups. Registries need to address high URD attrition, &amp; prospective investigation of efforts to speed donor identification are needed. Finally, utilization of all alternative donors (5-7/8 URD, haploidentical &amp; cord blood) is needed to facilitate donors for all in the time required for optimized transplantation.

Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective

Federated learning (FL) is a promising distributed framework for collaborative artificial intelligence model training while protecting user privacy. A bootstrapping component that has attracted significant research attention is the design of incentive mechanism to stimulate user collaboration in FL. The majority of works adopt a broker-centric approach to help the central operator to attract participants and further obtain a well-trained model. Few works consider forging participant-centric collaboration among participants to pursue an FL model for their common interests, which induces dramatic differences in incentive mechanism design from the broker-centric FL. To coordinate the selfish and heterogeneous participants, we propose a novel analytic framework for incentivizing effective and efficient collaborations for participant-centric FL. Specifically, we respectively propose two novel game models for contribution-oblivious FL (COFL) and contribution-aware FL (CAFL), where the latter one implements a minimum contribution threshold mechanism. We further analyze the uniqueness and existence for Nash equilibrium of both COFL and CAFL games and design efficient algorithms to achieve equilibrium solutions. Extensive performance evaluations show that there exists free-riding phenomenon in COFL, which can be greatly alleviated through the adoption of CAFL model with the optimized minimum threshold.

The Use of Dexmedetomidine in Preterm Infants: A Single Academic Center Experience.

Preterm newborns (PTNBs) often require sedation and analgesia. Dexmedetomidine (DEX) is used to provide sedation in extremely PTNBs, even though information on such use is limited. The objective of this research is to describe the use of DEX in these patients in a single academic center. This is a retrospective study of PTNBs receiving DEX from January 1, 2010, through December 31, 2018, at the Cleveland Clinic Children's Hospital, a tertiary academic center operating 2 Level III and 1 Level IV neonatal intensive care units (NICUs). Inclusion criteria were gestational age (GA) <36 weeks and receipt of DEX for >2 days. Adequacy of clinical response was based on achieving Neonatal Pain, Agitation and Sedation Scale (N-PASS) scores <3. Hypotension, bradycardia, and respiratory depression were recorded as the incidence as adverse events. A total of 105 patients were included. The birth weight median was 870 g (IQR, 615-1507); the GA median was 26 weeks (IQR, 24-31). The duration of DEX infusion averaged 7 days. The DEX dose averaged 0.4 mcg/kg (IQR, 0.3-0.45). Bradycardia was observed in 35 patients (57%) weighting <1 kg and in 7 patients (18%) >1 kg (p < 0.01). There was no difference in the incidence of other adverse events between these groups. However, infants <1 kg required more pharmacologic interventions to maintain N-PASS score <3. DEX was well tolerated overall and provided adequate sedation to PTNBs in this cohort. From this study, we recommend a starting dose of 0.2 to 0.4 mcg/kg/hr and titrating up hourly until adequate sedation is achieved.

Geospatial assessment of water footprints for hyperscale data centers in the United States

The sustainability of water usage in data centers is of growing importance considering rapid digitalization and environmental constraints on freshwater resources. However, the water footprint of data centers remains understudied, posing challenges to achieving sustainable data center operations. In this study, we assessed the water footprint of hyperscale data centers in the U.S. and identified major drivers of water use in data centers. Our findings offer valuable insights for designing water-efficient data centers, implementing sustainable practices, and formulating effective policies and technology incentives.

A liquid desiccant-assisted free-cooling system for energy-efficient data centers in hot and humid climates

Air conditioning and cooling are essential to ensure the reliable operation of data centers. Several studies have been conducted regarding the use of free cooling for energy-efficient cooling. However, free cooling faces challenges when used in hot and humid environments, which can lead to a decline in cooling tower performance. To address this issue, we propose a cooling system that utilizes a liquid desiccant to lower the humidity and improve the performance of the cooling tower, thereby reducing the energy consumption of the refrigeration system. Simulations were conducted in areas where the data centers were located, considering hot and humid climates. According to the simulation results, it was possible to achieve an average reduction of 35.12 % in cooling energy consumption by improving the performance of the cooling tower.

Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction

Computational fluid dynamics (CFD) models have been widely used for prototyping data centers. Evolving them into high-fidelity and real-time digital twins is desirable for the online operations of data centers. However, CFD models often have unsatisfactory accuracy and high computation overhead. Manually calibrating the CFD model parameters is tedious and labor-intensive. Existing automatic calibration approaches apply heuristics to search the model configurations. However, each search step requires a long-lasting process of repeatedly solving the CFD model, rendering them impractical, especially for complex CFD models. This article presents Kalibre , a knowledge-based neural surrogate approach that calibrates a CFD model by iterating four steps of (i) training a neural surrogate model, (ii) finding the optimal parameters through neural surrogate retraining, (iii) configuring the found parameters back to the CFD model, and (iv) validating the CFD model using sensor-measured data. Thus, the parameter search is offloaded to the lightweight neural surrogate. To speed up Kalibre’s convergence, we incorporate prior knowledge in training data initialization and surrogate architecture design. With about ten hours of computation on a 64-core processor, Kalibre achieves mean absolute errors (MAEs) of 0.57°C and 0.88°C in calibrating the CFD models of two production data halls hosting thousands of servers. To accelerate CFD-based simulation, we further propose Kalibreduce that incorporates the energy balance principle to reduce the order of the calibrated CFD model. Evaluation shows the model reduction only introduces 0.1°C to 0.27°C extra errors while accelerating the CFD-based simulations by thousand times.

GEECO: Green Data Centers for Energy Optimization and Carbon Footprint Reduction

Cloud computing has revolutionized data storage, processing, and access in modern data center operations. Conventional data centers use enormous amounts of energy for server operation, power supply, and cooling. The processors produce heat while processing the data and therefore increase the center’s carbon footprint, and the rising energy usage and carbon emissions caused by data centers pose serious environmental challenges. Under these circumstances, energy-efficient green data centers are being used as a phenomenal source of sustainable modernization. This study proposes the implementation of the Green Energy Efficiency and Carbon Optimization (GEECO) model for enhancing energy usage. Within the data center, the GEECO model dynamically adjusts workload distribution and task assignment to balance performance and manage service-level reconciliation. The ability to identify possibilities for energy optimization and carbon emission reduction is possible through real-time monitoring of energy usage and workload demand. The results revealed a considerable increase in energy efficiency, with significant decreases in energy usage and related costs. The GEECO model provides a significant improvement in energy consumption and carbon emission reduction for the different introduced scenarios. This model’s introduction to practical application would be made possible by these improvements in the quantitative results. The approach of this study also has a positive impact on the environment by reducing carbon emissions. The resilience and practicality of the solution are also analyzed, highlighting the probability of widespread adoption and its associated improvements in the advancement of sustainable cloud computing.

Reconstruction and fast prediction of 3D heat and mass transfer based on a variational autoencoder

Reconstruction and fast prediction of heat and mass transfer are important for the improvement of data center operations and energy savings. In this study, an artificial neural network (ANN) and variational autoencoder (VAE) composite model is proposed for the reconstruction and prediction of 3D flowfields with high accuracy and efficiency. The VAE model is trained to extract features of the problem and to realize 3D physical field reconstruction. The ANN is employed to achieve the constructability of the extracted features. A dataset of steady temperature/velocity fields is acquired by computational fluid dynamics and heat transfer (CFD/HT) and fed to train the deep learning model. The proposed ANN-VAE model is experimentally proven to achieve promising field prediction accuracy with a significantly reduced computational cost. CFD/HT method is often incapable of occasions that require instant knowledge of heat and mass transfer. The proposed ANN-VAE method convert the time-consuming simulations into the training stage. Driven by large amount of simulation data, the trained ANN-VAE model is capable of field prediction. Compared to the CFD/HT method, the ANN-VAE method speeds up the physical field prediction by approximately 380,000 times, with mean accuracies of 97.3% for temperature field prediction and 97.9% for velocity field prediction, making it feasible for real-time prediction of heat and mass transfer.

Single-term and multi-term nonuniform time-stepping approximation methods for two-dimensional time-fractional diffusion-wave equation

The aim of this work is to propose two efficient schemes to handle the accuracy near the singularity at t=0 in solving two-dimensional time-fractional diffusion-wave equation (TFDWE). The considered time fractional derivative is in the Caputo sense of order α(1<α<2). For the approximation of the time-fractional Caputo derivative (TFCD), we use Nonuniform L1 method (single-step) and Nonuniform Crank-Nicolson L1−2 method (multi-step). The L1 method has order of convergence (OC) min⁡(3−α,γα), where γ is the mesh grading parameter used in construction of the nonuniform mesh, and L1−2 method has second OC. We consider nonuniform time mesh to compensate the lack of smoothness caused by the presence of singularity in TFCD at t=0. After that, we adopt these two methods to approximate TFCD and apply the central difference operator for the space direction derivative approximations to get the system of equations for considered model. Then, we use the Alternating Direction Implicit (ADI) approach to develop two kinds of fully discrete schemes under the regularity conditions to solve the TFDWE. Further, we prove the stability analysis of these two schemes. Two numerical examples are given for one-dimensional (1D) and two-dimensional (2D) TFDWE with smooth and non-smooth exact solutions to indicate the accuracy of ADI schemes. The illustrated examples show that both schemes have second-order accuracy in space direction, and in temporal direction the schemes achieve min⁡(3−α,γα) and second order convergence, respectively for all 1<α<2. The corresponding absolute error is plotted to see the advantage of nonuniform time meshes at the initial singularity t=0.

A novel defected ground structure for high-isolation circularly polarized MIMO patch antenna

ABSTRACT This paper introduces a method to reduce mutual coupling in a two-element multiple-input multiple-output (MIMO) antenna, which is a significant challenge due to the need for high isolation over a wide frequency range with close element spacing. Previous works typically achieved high isolation within a narrow bandwidth. The paper presents a novel defected ground structure (DGS) with a modified I-shaped slot, which effectively minimizes mutual coupling in a dual-sense MIMO circularly polarized (CP) antenna over a broader bandwidth than the previous approaches. The fabricated 2-element prototype with an overall size of 0.98λ × 0.71λ × 0.05λ and an edge-to-edge spacing of 0.08λ at the center operating frequency has a measured bandwidth of 2.5% (5.2–5.33 GHz). Across this band, the isolation is always better than 35 dB and the gain is higher than 4.8 dBi. The MIMO parameters are also investigated, which proves the good diversity performance of the proposed design.

ОСОБЛИВОСТІ ФУНКЦІОНАЛЬНО-ПЛАНУВАЛЬНИХ РІШЕНЬ РЕАБІЛІТАЦІЙНИХ ЦЕНТРІВ ДЛЯ ВІЙСЬКОВИХ

The topic of designing rehabilitation centers for military personnel in Ukraine is currently relevant. The number of publications of projects of buildings of this type, which are already working or are being designed in our country, is increasing. The article is devoted to the identification of functional planning tasks and ways to solve them in the design or reconstruction of buildings of rehabilitation centers for the military personnel, in particular for people with reduced mobility. Normative documents relating to such buildings have not been developed in Ukraine. Thus, the existing design rules do not consider the cases of simultaneous stay in the building of a large number of people with reduced mobility. In this case, quantity turns into quality, that is, requirements for the design of different groups of premises should be considered in this aspect. The purpose of the work is to identify problems and outline prospects for the development of the architecture of rehabilitation centers for the military personnel, ways to solve the problems faced by the design of structures of this type in Ukraine. The task of the work is to study domestic and foreign experience in the construction and operation of rehabilitation centers for the military; - to study the requirements for the design of groups of rooms that are part of buildings of this type, - to investigate the peculiarities of the contingent of people undergoing rehabilitation and related requirements for evacuation routes. Conclusions. The current state of rehabilitation centers for military personnel in Ukraine requires a detailed study of domestic and foreign experience, and improvement of normative documents regarding the design of this type of buildings. The organization of contests for the best architectural projects of rehabilitation centers for the military will serve to develop interest and a worthy understanding of them. In the process of studying this topic, the authors came to the conclusion that the following architectural and planning principles should be followed for the formation of RC for the military personnel: 1. the principle of flexibility in architectural and planning decisions that takes into accountthe needs of patients at different stages of their rehabilitation. 2. the principle of combining functions in the premises of rehabilitation centers, whichensures the inclusion of the necessary number of different functional elements in one building, and even the universal use of premises. 3. the principle of combining nature and architectural solutions of rehabilitation centers toform their volumetric-spatial decisions and interior environment. 4. the principle of complete inclusiveness and ensuring free access to green areas.

Analysis of Public Service Center Service Innovation in Gresik Regency as a Health and Emergency Service

In the realm of public service innovation, one significant government initiative is the establishment of Public Service Centers (PSCs). This qualitative-descriptive research is conducted at the Gresik PSC and the East Java Health Office. PSC 119 Gresik operates as an emergency service under the Health Office's jurisdiction, catering to the community's urgent needs. While the Gresik PSC has shown successful implementation, encompassing community outreach, emergency response tasks, and reporting to the Health Office, it faces challenges. Notably, the Gresik PSC receives only 70 calls, a figure deemed suboptimal compared to the local population. Hindrances include the non-readiness of call center workers during emergencies, inadequate community awareness about PSC, and reports still being directed to three different agencies. To enhance the efficiency of Gresik PSC, recommendations include training call center operators to enhance communication tools and skills, cross-sector collaboration, routine monitoring, and evaluation every 3-6 months on a unified application or report, and intensified community outreach through social and print media.

5 years DKMS Chile: approach, results and impact of the first unrelated stem cell donor center in Chile.

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is performed worldwide to treat blood cancer and other life-threatening blood disorders. As successful transplantation requires an HLA-compatible donor, unrelated donor centers and registries have been established worldwide to identify donors for patients without a family match. Ethnic minorities are underrepresented in large donor registries. Matching probabilities are higher when donors and patients share the same ethnic background, making it desirable to increase the diversity of the global donor pool by recruiting donors in new regions. Here, we report the establishment and the first 5 years of operation of the first unrelated stem cell donor center in Chile, a high-income country in South America with a population of over 19 million. We used online and in-person donor recruitment practices through patient appeals and donor drives in companies, universities, the armed forces, and public services. After confirmatory typing donors were subjected to medical work-up and cleared for donation. We recruited almost 170,000 donors in 5 years. There were 1,488 requests received for confirmatory typing and donor availability checks, of which 333 resulted in medical work-up, leading to 194 stem cell collections. Products were shipped to Chile (48.5%) and abroad. Even when the COVID-19 pandemic challenged our activities, the number of donors recruited and shipped stem cell products remained steady. In Chile there was an almost 8-fold increase in unrelated donor transplantation activity from 16 procedures in 2016-2018 to 124 procedures in 2019-2021, mainly for pediatric patients following the center's establishment. We estimate that 49.6% of Chilean patients would find at least one matched unrelated donor in the global DKMS donor pool. Establishing a DKMS donor center in Chile has significantly increased donor availability for Chilean patients and contributed to an increase of unrelated donor stem cell transplant activity.