Sufficient Information Research Articles

The Tsunami Generated by the Gorringe Bank Fault: Analyzing Wave Heights and Travel Time in the Atlantic Coast of Morocco

Two hundred sixty-eight years (about three centuries) since the 1755 Lisbon tsunami, which provoked large-scale damage in Portugal, Spain and Morocco. Scientists in several countries have mobilized to develop investigative methods to study this extraordinary tsunami, with the aim of reducing the impact of waves in future events and protecting and warning populations at risk. However, the most important question remains whether the entire damaged community has sufficient information about the impact to prepare for tsunami risks. The aim of this paper is to determine the maximum wave heights in selected cities located within high-risk tsunami zones in Morocco, as well as the tsunami arrival time for each site. We used the Non-linear Shallow Water model With Nested Grids (NSWING) code to model tsunami propagation. Six cities were determined as observation points as being the subject of tsunami studies in previous work, namely Tangier, Asilah, Rabat, Casablanca, El-Jadida and Safi. The maximum wave height calculated within the Atlantic coast of Morocco exceeds 5 m in some locations and the first waves reach the Moroccan coast in 60 minutes. The authorities might utilize these results to develop evacuation plans.

Evaluating Parents' Concerns, Needs, and Levels of Satisfaction with the Services Provided for ASD Children in Saudi Arabia.

Supporting children with autism spectrum disorder (ASD) and their parents is vital in improving their children's abilities and their parents' ability to care for them. Thus, parents' perceptions of and levels of satisfaction with the services provided for their children must be assessed. This study aimed to understand parents' perceptions of and satisfaction with the speech-language services (SLS) provided for ASD children in different health facilities in Saudi Arabia. This cross-sectional study included 109 parents of ASD children. The survey included five sections dealing with (1) general information about the child; (2) assessment of the child's ASD characteristics (including their age when diagnosed, when they first noticed symptoms, and their speech, language, and communication abilities); (3) the reasons for enrollment in SLS sessions; (4) questions about SLS; and (5) parents' perceptions of SLS, satisfaction with the service, descriptions of their children's progress, and the respect and support they received. Parents' satisfaction levels were significantly higher when they had easy access to SLS, sufficient information and support, proper training in applying therapy exercises at home, and perceived respect and support from speech and language pathologists (SLPs). The reasons for discontinuing SLS included high session costs, the need for initial behavioral sessions, the lack of qualified SLPs, the end of the sessions, the lack of improvement, the nonavailability of specialized centers, and parents' dependence on home training only. They also sought opportunities for work and education, continuous and intensive SLS sessions, reduced costs, centers for adults with ASD, and accessible schools. Parents' main concerns were their children's poor speech and language skills, independence, and social acceptance. The study highlighted the importance of understanding parents' experiences with SLS, identifying the factors that enhance SLS use by ASD children, and improving parents' satisfaction with such services.

Enhance Unobservable Solar Generation Estimation via Constructive Generative Adversarial Networks

Power distribution grids experiences proliferation of solar photovoltaics (PV) at the system edge. However, its counterpart of sparse meter deployment provides insufficient monitoring of PVs, for which the potential violations challenge the operators for energy management and stable operation. Some previous works use satellite imagery to detect distributed PVs for the easy access of data. However, their PV localization methods rely on label-rich area with unitary background/environment to implement well; even further/harder, they do not provide precise metered-PV detection and quantification to estimate/know PV generation outputs in unobservable area, which is essential to prevent the edge from excessive two-way power flow and other violations. Thus, we combine the two steps of detecting PV existence and quantify PV amount into one classification task. To boost the classification performance in unobservable edge area, we construct a generative adversarial network that simultaneous augments the diversity of labelled PV satellite images and embed distinct PV characteristics/features for training the classifier. Furthermore, the PV localization and quantification result is combined with geographic information, historical weather conditions and neighboring generation patterns to estimate power output at the system edge. We validate the proposed approaches on PV systems in the southwest of the U.S. Experiment results show high accuracy and robustness in predicting distributed solar power without sufficient prior information.

Assessment of Family Medicine Obstetrics Fellowship Websites in the United States: Content and Usability.

The United States is experiencing maternity care shortages. Family physicians can play a role in addressing these shortages. Family medicine obstetrics fellowships train family physicians in obstetrics care. Fellowship websites are important for promoting programs and attracting applicants. However, whether websites provide sufficient program information is unknown. This study aimed to assess completeness and utility of family medicine obstetrics fellowship websites across the United States. The study analyzed 46 family medicine obstetrics fellowship websites. The component analysis evaluated the presence of 17 components related to orientation, curriculum, program, personnel, and additional content. The qualitative analysis included ratings for navigation and application, information quality, and esthetics. Analysis included percentages for websites and components and average qualitative ratings. Common components included overviews, training requirements, and contact information. Description of the patient population was the least common component. Usability ratings varied across programs, with higher ratings observed for navigation and application, and information quality. Esthetics and visual appeal received lower ratings. Regional analysis indicated that websites from fellowships in the West and Southwest tended to include more components compared to those in the Southeast. Family medicine obstetrics fellowship websites serve as valuable sources of program information for prospective applicants. However, not all websites include essential program details. Some information is rarely provided. Given the shortage of maternity care providers, it is crucial to develop informative and functional websites to attract applicants. Improving website content and design could prove to be a cost-effective strategy to increase the number of applicants.

Informative Trajectory Planning Using Reinforcement Learning for Minimum-Time Exploration of Spatiotemporal Fields.

This article studies the informative trajectory planning problem of an autonomous vehicle for field exploration. In contrast to existing works concerned with maximizing the amount of information about spatial fields, this work considers efficient exploration of spatiotemporal fields with unknown distributions and seeks minimum-time trajectories of the vehicle while respecting a cumulative information constraint. In this work, upon adopting the observability constant as an information measure for expressing the cumulative information constraint, the existence of a minimum-time trajectory is proven under mild conditions. Given the spatiotemporal nature, the problem is modeled as a Markov decision process (MDP), for which a reinforcement learning (RL) algorithm is proposed to learn a continuous planning policy. To accelerate the policy learning, we design a new reward function by leveraging field approximations, which is demonstrated to yield dense rewards. Simulations show that the learned policy can steer the vehicle to achieve an efficient exploration, and it outperforms the commonly-used coverage planning method in terms of exploration time for sufficient cumulative information.

Study of the relationship between the parameters of electromagnetic-acoustic transformation and the stress-strain state of the metal to solve the problem of remote monitoring of power equipment

The implementation of Russia’s energy strategy provides for the creation of an intelligent control system for active-adaptive electrical networks of the electric power complex, which contains a system for remote diagnostic monitoring of energy equipment, including metal load-bearing structures of electrical energy generation, transmission and consumption facilities. Promising in this regard is the use of a high-performance electromagnetic-acoustic method, which allows non-contact detection of metal defects and monitoring of their stress-strain state. But existing electromagnetic-acoustic diagnostic tools do not have sufficient sensitivity and information content to solve this problem. The article presents the results of experimental studies aimed at identifying and processing informative parameters of electromagnetic-acoustic transformation for the implementation of remote diagnostic monitoring of the stress-strain state and metal damage of power equipment. Based on the research results, it was proposed to use a frequency model formed as a result of spectral analysis of the electromagnetic-acoustic transducer signal as an integral parameter characterizing the state of the metal.

Compact Goal Representation Learning via Information Bottleneck in Goal-Conditioned Reinforcement Learning.

We propose an Information bottleneck (IB) for Goal representation learning (InfoGoal), a self-supervised method for generalizable goal-conditioned reinforcement learning (RL). Goal-conditioned RL learns a policy from reward signals to predict actions for reaching desired goals. However, the policy would overfit the task-irrelevant information contained in the goal and may be falsely or ineffectively generalized to reach other goals. A goal representation containing sufficient task-relevant information and minimum task-irrelevant information is guaranteed to reduce generalization errors. However, in goal-conditioned RL, it is difficult to balance the tradeoff between task-relevant information and task-irrelevant information because of the sparse and delayed learning signals, i.e., reward signals, and the inevitable task-relevant information sacrifice caused by information compression. Our InfoGoal learns a minimum and sufficient goal representation with dense and immediate self-supervised learning signals. Meanwhile, InfoGoal adaptively adjusts the weight of information minimization to achieve maximum information compression with a reasonable sacrifice of task-relevant information. Consequently, InfoGoal enables policy to generate a targeted trajectory toward states where the desired goal can be found with high probability and broadly explores those states. We conduct experiments on both simulated and real-world tasks, and our method significantly outperforms baseline methods in terms of policy optimality and the success rate of reaching unseen test goals. Video demos are available at infogoal.github.io.

Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation.

Hashing methods have sparked a great revolution in cross-modal retrieval due to the low cost of storage and computation. Benefiting from the sufficient semantic information of labeled data, supervised hashing methods have shown better performance compared with unsupervised ones. Nevertheless, it is expensive and labor intensive to annotate the training samples, which restricts the feasibility of supervised methods in real applications. To deal with this limitation, a novel semisupervised hashing method, i.e., three-stage semisupervised hashing (TS3H) is proposed in this article, where both labeled and unlabeled data are seamlessly handled. Different from other semisupervised approaches that learn the pseudolabels, hash codes, and hash functions simultaneously, the new approach is decomposed into three stages as the name implies, in which all of the stages are conducted individually to make the optimization cost-effective and precise. Specifically, the classifiers of different modalities are learned via the provided supervised information to predict the labels of unlabeled data at first. Then, hash code learning is achieved with a simple but efficient scheme by unifying the provided and the newly predicted labels. To capture the discriminative information and preserve the semantic similarities, we leverage pairwise relations to supervise both classifier learning and hash code learning. Finally, the modality-specific hash functions are obtained by transforming the training samples to the generated hash codes. The new approach is compared with the state-of-the-art shallow and deep cross-modal hashing (DCMH) methods on several widely used benchmark databases, and the experiment results verify its efficiency and superiority.

Does Economic Growth Increase or Decrease Economic Losses and Deaths from Storm Surge Disasters in China? An Empirical Analysis from The Aspect of Hazard Exposure

Storm surge disaster is the major threat to coastal residents’ lives and property in China, which could steal away development gains in a short time. Therefore, the storm surge disaster loss reduction is an indispensable part of socio-economic development. However, the relationship between economic growth and the loss of storm surge disasters remains unclear. Herein, we explored the relationship between economic growth and the losses caused by storm surge disasters in China’s coastal zones from 1978 to 2020. We established an empirical model through the indicators of direct economic loss and death toll using negative binomial estimate and tobit estimate models. To ensure the accuracy of the model, multiple socioeconomic factors were also included in the models. The results revealed that there is an “inverted U-shaped” relationship between GDP per capita and the losses from storm surges. Furthermore, we used the entropy method to establish the storm surge hazard exposure index of China’s coastal zone from 2000 to 2020, considering disaster intensity, population density and other factors. When considering hazard exposure level, the role of economic growth may be diminished. In other words, at the same economic level, higher hazard exposure leads to greater disaster losses. We argue that economic growth and disaster resilience are not identical goals. Thus, the government needs sufficient information support when formulating disaster prevention and reduction plans.

Impact of BIM implementation in engineering projects in Syria

Engineering projects are often exposed to problems during their design and implementation, due to the lack of availability and accuracy of sufficient information, the failure to set an accurate timetable and budget, and the lack of cooperation and coordination between team members. Therefore, a technology was found to help solve these problems, which is building information modeling. It is one of the most important developments in the field of engineering in general, and the second generation of model design tools is the result of decades of research and development. Through it, one or more virtual models were created to support the design process through all its stages, and it is a simulation of the reality of the real project. In our research, we will discuss the most important problems that engineers face when working on a project, the importance of applying this technology and the benefits it has on the project and its parties, a simplified explanation of it, its dimensions, the stages that the project goes through, and the most important problems that we face when applying it. Building quantities will be studied in the traditional way and compared with quantities calculated through building information modeling technology.

Etnoictiología de los grupos étnicos Piapoco, Piaroa, Puinave y Sikuani que habitan La Selva de Matavén (Vichada, Colombia)

ABSTRACT Since prehistoric times, indigenous communities have relied on fish as a staple source of protein for their subsistence. In most cases, fish is the sole source of income and of animal protein for the communities. Nevertheless, the documentation of fish from an ethnological perspective is rare, and biological research alone might not provide sufficient information required to manage fisheries resources. We discuss the traditional ichthyological knowledge of the Piapoco, Piaroa, Puinave, and Sikuani ethnic groups inhabiting the Matavén Forest (Vichada, Colombia). Each group has its perception regarding knowledge, at times detailed, of fish groups, their distribution, and uses. To obtain information regarding traditional ichthyological knowledge, fish were collected over one month at 31 sampling sites in different habitats along the lower Matavén River basin. The fish were identified by formal taxonomy and the informal classification by experienced fishermen of the four ethnic groups. There was consistency among the names given by the ethnic groups and formal taxonomy. The indigenous collaborators used binomial classification systems in which the organisms are grouped at family and genus levels and, to some extent, categorization depends on distribution within the aquatic habitats (i.e., rivers, streams and lagoons). The indigenous collaborators did not provide sociocultural or mythological information related to the fishes. Our findings contribute to the development of conservation and rural development projects in the Colombian Amazon.

DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition.

In this work, we propose a new Dual Min-Max Games (DMMG) based self-supervised skeleton action recognition method by augmenting unlabeled data in a contrastive learning framework. Our DMMG consists of a viewpoint variation min-max game and an edge perturbation min-max game. These two min-max games adopt an adversarial paradigm to perform data augmentation on the skeleton sequences and graph-structured body joints, respectively. Our viewpoint variation min-max game focuses on constructing various hard contrastive pairs by generating skeleton sequences from various viewpoints. These hard contrastive pairs help our model learn representative action features, thus facilitating model transfer to downstream tasks. Moreover, our edge perturbation min-max game specializes in building diverse hard contrastive samples through perturbing connectivity strength among graph-based body joints. The connectivity-strength varying contrastive pairs enable the model to capture minimal sufficient information of different actions, such as representative gestures for an action while preventing the model from overfitting. By fully exploiting the proposed DMMG, we can generate sufficient challenging contrastive pairs and thus achieve discriminative action feature representations from unlabeled skeleton data in a self-supervised manner. Extensive experiments demonstrate that our method achieves superior results under various evaluation protocols on widely-used NTU-RGB+D, NTU120-RGB+D and PKU-MMD datasets.

Development of the method of remote sensing of low-concentration gases of the atmosphere taking into account the humidity fluctuations of the air

The emergence of strong desert vortices covering large areas, including the areas of large cities with dense population, the need to quickly obtain sufficient information on the state of desert ecosystems in large areas makes the application of remote sensing methods an urgent issue. At present, the method of measuring the desert aerosol using scattered solar radiation has been proposed, and the method of measuring the optical thickness of the dust aerosol has been substantiated. A new method of optimization of remote sensing systems and information-measurement systems in general is proposed in the article. A method of remote determination of aerosol optical thickness increase, which involves measuring the scattered radiation of the sun, has been proposed. The main goal of the study is to develop a remote sensing method that allows determining the dynamics and cause of the increase in aerosol optical thickness. The scientific novelty of the work is a new method that is invariant to the variations of the aerosol optical thickness under the influence of hydration and dehydration processes. By using the proposed three-wave biparametric Sun photometer, the effect of aerosol hygroscopic growth on the measurement results is eliminated.The given critical assessment of the state of atmospheric pollution monitoring and the consideration of the main shortcomings of the aerosol pollution monitoring carried out in the country will allow further improvement of such monitoring in the future. The proposed remote sensing method for determining the dynamics of aerosol optical thickness growth allows to determine the origin of aerosol optical thickness growth by measuring scattered solar radiation at two different wavelengths and in two optical air masses.

Website Design as an Effort to Increase the Marketing of Marsudi Luhur Fish Cultivation Products

Abstract. Mertosutan Hamlet, Sidoluhur Village, Kapanewon Godean, Sleman Regency, Special Region of Yogyakarta, has a fish farming group that occupies a pond area of ​​around 600 square meters. The marketing of the results of this cultivation is still to consumers who live in the surrounding area because the promotion tools are still conventional and have limited reach. Aside from being a fish producer, the area is also prepared as a fishing tourism facility. To expand the marketing reach and increase the income of fish farmers, it is necessary to do better promotion. One of the promotional methods carried out in this service is to create a website that can display all information about the Fish Cultivation Group and its potential. Through this website, the public can access it easily and quickly so that the income of fish farmers can increase. The output of this service is in the form of a website, activity videos, scientific publications, and participants in the national service seminar. At the end of the activity, a symbolic handover was carried out, launching a website, taking photos together, and filling out a satisfaction survey by partners. Website trials have been carried out with good results, but sufficient information is needed at this time. While the results of the satisfaction survey by partners obtained 100% stated that they were satisfied

Determining the Information and Thoughts of Sports Sciences Faculty Students About Doping

The aim of the study is to determine the level of knowledge of undergraduate students in sports disciplines about banned substances and methods that cause doping effect and the damage these substances and methods cause to tissues. This descriptive and cross-sectional study was carried out at Yozgat Bozok University Faculty of Sports Sciences in Yozgat between 1 May and 30 May 2022. Sample selection was not made, and it was completed with 480 students who agreed to participate in the research and made up 80% of the universe. The mean age of the students was calculated as 20.86±2.0 years. It was determined that 72.50% of the participants were women, and 47.50% of them had less income than their expenses. 45% of the participants think that they have sufficient knowledge about doping effects. 52.50% stated that they were partially informed by sports managers and trainers about the substances and methods that cause doping effects. As a result, it was determined that the students did not have sufficient information about the prohibited substances and methods that cause doping effect, and they were not adequately informed by the sports managers and referees. It is suggested that the subject of banned substances and methods that create doping effects should be added to their curriculum in order to eliminate the lack of knowledge of the students of the faculty of sports sciences.

A lake management framework for global application: monitoring, restoring, and protecting lakes through community engagement

Cianci-Gaskill JA, Klug JL, Merrell KC, et al. 2024. A lake management framework for global application: monitoring, restoring, and protecting lakes through community engagement. Lake Reserv Manage. 40:66–92. Despite decades of management and regulation, global freshwater resources remain imperiled. Management has had mixed success in restoring degraded lakes and has few mechanisms for stopping the decline of high-quality systems. Too often, lake managers play catch-up by addressing stressors only after damage occurs or has become entrenched, or make decisions without acquiring sufficient information about how a lake might respond to proposed management actions. As a tool to address these management challenges, we propose the MoReCo (Monitoring, Restoring/Protecting, Community Engagement) lake management framework. The framework centers around community engagement, and we outline engagement mechanisms in the context of lake management. The framework includes 2 loops: a monitoring loop to detect emerging stressors, and a restoring/protecting loop to address stressors that are causing or may cause lake degradation. The MoReCo framework builds on the strengths of existing natural resource management frameworks and was developed to address the unique challenges associated with lake management and protection, as well as those resulting from climate change. Specifically, it can address multiple stressors concurrently, which makes it simultaneously suitable for ameliorating stressors while also protecting lake ecosystems. The MoReCo framework is an interactive and multidirectional process in which management occurs even when no stressor is apparent, and it incorporates explicit benchmarks for evaluating management actions and determining whether additional measures should be taken. This novel lake management framework is suitable to address any stressors that may threaten a lake ecosystem, and we present it here as a resource for those who manage freshwater resources.

Features of diagnosing ovarian tumors in women of pre- and postmenopausal age

Currently, one of the main ways to fight cancer, which can improve the results of treatment of ovarian neoplasms, is screening. Presently, the issue of organizing and conducting preventive examinations of women, including those of reproductive age, is one of the most urgent problems of primary health care institutions. The subjects of the study were 168 pre- and postmenopausal patients aged 20 to 60 years with ovarian tumors suspected of oncological pathology, who received treatment on the basis of the Tashkent city branch of the Republican Specialized Scientific and Practical Medical Center of Oncology and Radiology for the period from 2018 to 2022, taking into account the selected age interval. An assessment was made of laboratory research methods, such as: general blood count, biochemical blood test, general urinalysis, tumor-associated marker CA-125, HE-4. In the comparative analysis of risk factors, when ovarian tumors develop in pre- and postmenopausal women, malignant and borderline ovarian tumors have complaints, parity, gynecological anamnesis, and the presence of extragenital diseases, which do not have specific characteristics for malignant or borderline tumors. therefore, it does not provide sufficient information in the process of diagnosing ovarian tumors. The sonographic characteristics associated with the degree of ovarian tumor malignancy were examined, and the tumor had a solid component (p <0.001), the presence of obstructions (p = 0.0005), and the presence of growth on the inner surface of the capsule (p <0.001), the presence of a significant amount of free fluid in the pelvic cavity (p <0.001), the roughness of the surface of the tumor capsule (p < 0.001) were observed to be characteristic of more dangerous processes.

Engelli ve Sağlıklı Çocuğu Olan Ebeveynlerin Üçüncü El Sigara Kullanımına İlişkin Görüşlerinin Değerlendirilmesi

Objective: The objectives of this study were to assess the opinions of parents with disabled children (PDC) and parents with healthy children (PHC) about thirdhand smoke (THS). 
 Method: This study was designed as a cross-sectional study. Study data were collected from the province of Burdur between October and November 2022. Data collection form consists of sociodemographic form, Beliefs about Thirdhand Smoke Scale (BATHS) and Fagerström Test for Nicotine Dependence (FTND).
 Results: Totally 365 (100%) people participated in the study, 99 (27.1%) of which were PDC and 266 (72.9%) of which were PHC. A statistical difference was found between the BATHS health and BATHS persistence means of PDC and PHC. The existence of rules about not smoking in the environment they live in was in a way that there is a rule for 62 (63%) people, partially there is a rule for 10 (10%) people and no rule for 27 (27%) people for the PDC. For the PHC, it was 138 (51.9%), 43 (16.2%), and 85 (31.9%) (respectively). 
 Conclusion: The means of BATHS health and BATHS persistence in PDC were lower than the mean of PHC. In the whole population; BATHS (including its sub-dimensions) scores were associated with participants' economic and educational status. More than half of the population had rules prohibiting tobacco use in their residence. The existence of these rules was higher in PDC. In particular, the opinions of the PDC on THS should be intervened with basic public health approaches and they should be provided with sufficient information on the subject.

A dialogical approach in an educational conversation on the topic of ethnicity and identity

This article presents a look at ethnicity from the point of view of some important sociological and socioanthropological theories and based on empirical data. One of these theories is Frederick Barth's theory of ethnicity. Everyday life communication and the practice of social interaction are the subjects of the study of ethnomethodology by Harold Garfinkel, and it is an important topic in the dialogic theory of Mikhail Bakhtin. In my study of ethnicity, these approaches, since it is in them that communication is given a primary role, are central and are also reflected in the research method - the method of conversational analysis. Two empirical examples from a rural hospital in Kazakhstan show speech genres in which the ethnic category becomes an integral part of the action and an important means of communication. In this case, the interlocutors resort to the ethnic category in order to clarify the identity of the person they are talking about. In such moments of social interaction, ethnicity is important for interlocutors not in the sense of collective group identity, which divides people into groups, covering up a person's personality, but as information necessary for recognizing and clarifying a specific personality. We are not talking about family, friendship or other close relationships in which the ethnic difference has either long been forgotten or did not matter at all, but about relationships where the interlocutors do not have sufficient information about each other. In this sense, ethnic categories can be compared to a certain extent with the name of a person. The author believes that the use of ethnic categories in everyday language speaks about the similarity of people, about their common speech practices, which are often dominated by stereotypical knowledge, about their common socialization, communication environment, worldview that developed at the beginning of the formation of the (multinational) Soviet state.

A community health literacy Hub

Introduction: Being health literate is important to get sufficient health information, to navigate the health system, to access appropriate care and to be able to self-manage health. As such it is a key determinant of health. There is a need for innovative measures to improve health literacy among people living in socioeconomically vulnerable circumstances. In response to this need, a low treshold community health literacy hub was developed and implemented in a vulnerable neighbourhood in the city of Antwerp, within a broader project on the prevention of cardiovascular diseases (H2020 SPICES project)
 The health kiosk provides information on a healthy lifestyle and disease prevention in a low-threshold manner to people and groups in a socially vulnerable situation. These are the people for whom the current preventive offer is insufficiently accessible; because it is not sufficiently attuned to diversity in language and culture, it is insufficiently accessible or available, or because people have so many other concerns on their minds that they have less mental space to actively engage with health.
 Who is involved? The Health Kiosk is a partnership between Logo Antwerp, University of Antwerp, Antwerp District. Another important collaboration is with the Community Health Workers. These are people from the communities involved who direct people, often non-native speakers, to care. They speak to people in their own language, thus removing an important barrier. This cooperation also allows us to make good links between the preventive offer and primary care. To further operationalise the operation of the kiosk, ELZ Oost will also be involved. The focus will also be on first-line professionals.
 Results: The health kiosk grew out of the need to increase health literacy among vulnerable target groups, those who live under the radar. Yet the effect of the kiosk appears to go much further. The whole community gets involved: not just residents, but also organisations from different sectors, as well as the working population. Over the past year, the kiosk has become well embedded in the neighbourhood. A broad base of support has been created.
 Outreach work presupposes a lifeworld perspective. You can only succeed if you really connect with the living environment of local residents. Participative work is therefore indispensable when doing outreach work. It is crucial to involve people from the community right from the start of the project. 
 Next steps: Now we need to take a step further. Looking to the future, it is important to link up even more with first-line professionals such as GPs, pharmacists, home nursing, etc. The pressure on first-line professionals, especially GPs, is high.