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Research is presented which focuses on the conceptions of pre-service teachers about the future and its teaching. A review is made of some of the most interesting contributions in this field at international level. The study sample is composed of 114 students from two universities, one in Italy and one in Spain. Their answers to open-ended questions in a questionnaire are analysedqualitatively based on a system of categories. The results show broad agreement with the literature on this issue, although they introduce several nuances and show slight differences between the two countries. In conclusion, based on the results, some training strategies are proposed that could have an impact on the improvement of initial teacher training in this area.

Introducción: La patología herniaria supone una de las patologías más prevalentes en el ámbito quirúrgico. El desarrollo de nuevas mallas y nuevos materiales de fijación ha supuesto un avance en el manejo quirúrgico de la hernia. Material y métodos: La tendencia en la cirugía de la hernia va dirigida al uso de mallas de baja densidad, con gran capacidad de integración, asociándose con una disminución del dolor postoperatorio y sensación a cuerpo extraño, mejorando el tiempo de recuperación del paciente, sin aumentar el índice de recidiva a corto plazo. En cuanto al tipo de fijación usada, las mallas autofijables han demostrado beneficios respecto a las próstesis convencionales, consiguiendo una reducción del tiempo quirúrgico, disminuyendo el dolor postoperatorio y permitiendo una rápida incorporación del paciente a la rutina diaria. Conclusiones: El uso de mallas autoadhesivas supone una alternativa eficaz en la reparación herniaria, disminuyendo el tiempo quirúrgico y anestésico, y asociando menos dolor en el postoperatorio., Introduction: Hernia is one of the most prevalent pathologies in the surgical field. The development of new meshes and new fixation materials is an advance in the management of hernias. Material and methods: Nowadays, efforts are made to use of low-density meshes associated with a decrease in postoperative pain and foreign body sensation, improving patient recovery time, with the same short term recurrence rate. Self-fixing meshes have shown benefits compared to conventional meshes, achieving a reduction in surgical time, decreasing postoperative pain, and allowing the patient to quickly incorporate into his routine. Conclusions: The use of self-adhesive mesh is an effective alternative in hernia repair, reducing surgical and anesthetic time and associating less postoperative pain.

To achieve the goals of the 2030 Global Biodiversity Framework, the European Biodiversity Strategy, and the EU Green Deal, biodiversity monitoring is critical. Monitoring efforts in Europe, however, suffer from gaps and biases in taxonomy, spatial coverage, and temporal resolution, resulting in fragmented and disconnected data. To assess user and policy needs in biodiversity monitoring, we employed a four-step user-centered stakeholder engagement process with over 300 stakeholders including a public stakeholder workshop, online survey, interviews, and a meeting with experts from 18 EU member states, the European Commission, and the European Environment Agency. The stakeholders identified policy needs, current challenges, and potential solutions. Based on the policy and stakeholder assessment, we recommend establishing a European Biodiversity Observation Coordinating Centre to optimize existing observation efforts, harmonize data, and enhance our ability to predict and respond to key challenges related to biodiversity loss in Europe.

The scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-learning algorithms to model observation records as a temporal sample of environmental conditions in which the represented ecological phenomenon occurs. Our approach accurately predicts the temporal dynamics of ecological events across large geographical scales and is robust to temporal bias in recording effort. These results highlight the vast potential of citizen-science observation data to predict ecological phenomena across space, including in near real time. The framework is also easily applicable for ecologists and practitioners already using machine-learning and statistics-based predictive approaches.

To achieve the goals of the 2030 Global Biodiversity Framework, the European Biodiversity Strategy, and the EU Green Deal, biodiversity monitoring is critical. Monitoring efforts in Europe, however, suffer from gaps and biases in taxonomy, spatial coverage, and temporal resolution, resulting in fragmented and disconnected data. To assess user and policy needs in biodiversity monitoring, we employed a four-step user-centered stakeholder engagement process with over 300 stakeholders including a public stakeholder workshop, online survey, interviews, and a meeting with experts from 18 EU member states, the European Commission, and the European Environment Agency. The stakeholders identified policy needs, current challenges, and potential solutions. Based on the policy and stakeholder assessment, we recommend establishing a European Biodiversity Observation Coordinating Centre to optimize existing observation efforts, harmonize data, and enhance our ability to predict and respond to key challenges related to biodiversity loss in Europe.

The scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-learning algorithms to model observation records as a temporal sample of environmental conditions in which the represented ecological phenomenon occurs. Our approach accurately predicts the temporal dynamics of ecological events across large geographical scales and is robust to temporal bias in recording effort. These results highlight the vast potential of citizen-science observation data to predict ecological phenomena across space, including in near real time. The framework is also easily applicable for ecologists and practitioners already using machine-learning and statistics-based predictive approaches.

The scarcity of long-term observational data has limited the use of statistical or machine-learning techniques for predicting intraannual ecological variation. However, time-stamped citizen-science observation records, supported by media data such as photographs, are increasingly available. In the present article, we present a novel framework based on the concept of relative phenological niche, using machine-learning algorithms to model observation records as a temporal sample of environmental conditions in which the represented ecological phenomenon occurs. Our approach accurately predicts the temporal dynamics of ecological events across large geographical scales and is robust to temporal bias in recording effort. These results highlight the vast potential of citizen-science observation data to predict ecological phenomena across space, including in near real time. The framework is also easily applicable for ecologists and practitioners already using machine-learning and statistics-based predictive approaches.

To achieve the goals of the 2030 Global Biodiversity Framework, the European Biodiversity Strategy, and the EU Green Deal, biodiversity monitoring is critical. Monitoring efforts in Europe, however, suffer from gaps and biases in taxonomy, spatial coverage, and temporal resolution, resulting in fragmented and disconnected data. To assess user and policy needs in biodiversity monitoring, we employed a four-step user-centered stakeholder engagement process with over 300 stakeholders including a public stakeholder workshop, online survey, interviews, and a meeting with experts from 18 EU member states, the European Commission, and the European Environment Agency. The stakeholders identified policy needs, current challenges, and potential solutions. Based on the policy and stakeholder assessment, we recommend establishing a European Biodiversity Observation Coordinating Centre to optimize existing observation efforts, harmonize data, and enhance our ability to predict and respond to key challenges related to biodiversity loss in Europe.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

Observations are key to understanding the state of nature, the drivers of biodiversity loss and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives call for unbiased, integrated and regularly updated data on biodiversity and ecosystem services. However, biodiversity monitoring efforts are spatially and temporally fragmented, taxonomically biased and not integrated across Europe. EuropaBON has addressed this gap by developing an EU-wide framework for biodiversity monitoring. With this deliverable, EuropaBON proposes the terms of reference for an EU Biodiversity Observation Coordination Centre (EBOCC), a permanent infrastructure that could coordinate and foster the generation and use of high quality data to underpin the biodiversity knowledge-base used across EU policies, providing guidance and trainings when necessary. Such a centre represents one of the key solutions to overcome the critical challenges of biodiversity monitoring in Europe. Having this integrated and continuous monitoring capacity would allow more timely and efficient interventions that would optimise our capacity to revert biodiversity loss and prevent environmental degradation. It would also increase the value-added to the data flows, reaching high-value outputs with some existing low-value inputs. This deliverable offers a critical analysis of the existing monitoring landscape in Europe, extracting key messages about the main challenges, lessons learned and possible solutions. Based on a comprehensive analysis of needs and, most importantly, on an inclusive consultation process, the deliverable designs an EBOCC that tackles the key biodiversity monitoring challenges. The proposal specifies the mission, the tasks, the most urgent topics, the main policies and the key stakeholders that the EBOCC should serve and focus on during the first stage of its implementation. It also includes detailed analyses about governance models and potential costs. With this prop

Observations are key to understanding the state of nature, the drivers of biodiversity loss and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives call for unbiased, integrated and regularly updated data on biodiversity and ecosystem services. However, biodiversity monitoring efforts are spatially and temporally fragmented, taxonomically biased and not integrated across Europe. EuropaBON has addressed this gap by developing an EU-wide framework for biodiversity monitoring. With this deliverable, EuropaBON proposes the terms of reference for an EU Biodiversity Observation Coordination Centre (EBOCC), a permanent infrastructure that could coordinate and foster the generation and use of high quality data to underpin the biodiversity knowledge-base used across EU policies, providing guidance and trainings when necessary. Such a centre represents one of the key solutions to overcome the critical challenges of biodiversity monitoring in Europe. Having this integrated and continuous monitoring capacity would allow more timely and efficient interventions that would optimise our capacity to revert biodiversity loss and prevent environmental degradation. It would also increase the value-added to the data flows, reaching high-value outputs with some existing low-value inputs. This deliverable offers a critical analysis of the existing monitoring landscape in Europe, extracting key messages about the main challenges, lessons learned and possible solutions. Based on a comprehensive analysis of needs and, most importantly, on an inclusive consultation process, the deliverable designs an EBOCC that tackles the key biodiversity monitoring challenges. The proposal specifies the mission, the tasks, the most urgent topics, the main policies and the key stakeholders that the EBOCC should serve and focus on during the first stage of its implementation. It also includes detailed analyses about governance models and potential costs. With this prop

Observations are key to understanding the state of nature, the drivers of biodiversity loss and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives call for unbiased, integrated and regularly updated data on biodiversity and ecosystem services. However, biodiversity monitoring efforts are spatially and temporally fragmented, taxonomically biased and not integrated across Europe. EuropaBON has addressed this gap by developing an EU-wide framework for biodiversity monitoring. With this deliverable, EuropaBON proposes the terms of reference for an EU Biodiversity Observation Coordination Centre (EBOCC), a permanent infrastructure that could coordinate and foster the generation and use of high quality data to underpin the biodiversity knowledge-base used across EU policies, providing guidance and trainings when necessary. Such a centre represents one of the key solutions to overcome the critical challenges of biodiversity monitoring in Europe. Having this integrated and continuous monitoring capacity would allow more timely and efficient interventions that would optimise our capacity to revert biodiversity loss and prevent environmental degradation. It would also increase the value-added to the data flows, reaching high-value outputs with some existing low-value inputs. This deliverable offers a critical analysis of the existing monitoring landscape in Europe, extracting key messages about the main challenges, lessons learned and possible solutions. Based on a comprehensive analysis of needs and, most importantly, on an inclusive consultation process, the deliverable designs an EBOCC that tackles the key biodiversity monitoring challenges. The proposal specifies the mission, the tasks, the most urgent topics, the main policies and the key stakeholders that the EBOCC should serve and focus on during the first stage of its implementation. It also includes detailed analyses about governance models and potential costs. With this prop

El hidrops endolinfático (EH) ha sido identificado como una manifestación patológica de la enfermedad de Ménière (MD) desde hace mas de 85 anos, aunque su confirmación era solo posible mediante análisis histológicos post-mortem. En los últimos anos, se han logrado avances significativos en las técnicas de adquisición de imagen del oído interno utilizando resonancia magnética (MRI) lo que ha permitido la visualización de la EH in vivo en pacientes con sospecha de MD. En este estudio, se han utilizado las secuencias MRI 3D-T2-SPACE-MRC y 3D-REAL-IR de 90 pacientes facilitadas por la Clínica Universidad de Navarra. Sobre ellas se ha establecido una estrategia para estimar de manera automática la proporción de EH mediante la segmentación automática del vestíbulo y la endolinfa contenida. Asimismo, se han evaluado diferentes modelos de predicción para optimizar el rendimiento y se ha encontrado que este enfoque sienta las bases para estimar automáticamente la proporción de EH en pacientes con MD. Estos hallazgos abren una vía para futuros estudios de perfeccionamiento y ofrecen una herramienta prometedora para el diagnóstico y seguimiento de la MD.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

EuropaBON harnesses the power of modelling Essential Biodiversity Variables (EBVs) to integrate different reporting streams, data sources, and monitoring schemes, and measure biodiversity change across multiple dimensions in space and time. Therefore, EBVs are at the core of the project and form the basis for several of the tasks feeding into the co-design of a biodiversity monitoring system for Europe. In this document, we describe the stepwise process of identifying and specifying the EBVs in the EBV list presented in this deliverable. We further provide a summary of the characteristics of the EBVs identified for EuropaBON, in terms of their desired spatial- and temporal resolutions, as well as the taxonomic/ ecosystem scope to be measured.

EuropaBON harnesses the power of modelling Essential Biodiversity Variables (EBVs) to integrate different reporting streams, data sources, and monitoring schemes, and measure biodiversity change across multiple dimensions in space and time. Therefore, EBVs are at the core of the project and form the basis for several of the tasks feeding into the co-design of a biodiversity monitoring system for Europe. In this document, we describe the stepwise process of identifying and specifying the EBVs in the EBV list presented in this deliverable. We further provide a summary of the characteristics of the EBVs identified for EuropaBON, in terms of their desired spatial- and temporal resolutions, as well as the taxonomic/ ecosystem scope to be measured.

Background: Data analysis techniques such as machine learning have been used for assisting in triage and the diagnosis of health problems. Nevertheless, it has not been used yet to assist community pharmacists with services such as the Minor Ailment Services These services have been implemented to reduce the burden of primary care consultations in general medical practitioners (GPs) and to allow a better utilization of community pharmacists' skills. However, there is a need to refer high-risk patients to GPs. Aim: To develop a predictive model for high-risk patients that need referral assisting community pharmacists' triage through a minor ailment service. Method: An ongoing pragmatic type 3 effectiveness-implementation hybrid study was undertaken at a national level in Spanish community pharmacies since October 2020. Pharmacists recruited patients presenting with minor ailments and followed them 10 days after the consultation. The main outcome measured was appropriate medical referral (in accordance with previously co-designed protocols). Nine machine learning models were tested (three statistical, three black box and three tree models) to assist pharmacists in the detection of high-risk individuals in need of referral. Results: Over 14'000 patients were included in the study. Most patients were female (68.1%). With no previous treatment for the specific minor ailment (68.0%) presented. A percentage of patients had referral criteria (13.8%) however, not all of these patients were referred by the pharmacist to the GP (8.5%). The pharmacists were using their clinical expertise not to refer these patients. The primary prediction model was the radial support vector machine (RSVM) with an accuracy of 0.934 (CI95 = [0.926,0.942]), Cohen's kappa of 0.630, recall equal to 0.975 and an area under the curve of 0.897. Twenty variables (out of 61 evaluated) were included in the model. radial support vector machine could predict 95.2% of the true negatives and 74.8% of the true

Spain is a European country with over 47.5 million inhabitants and a public National Health System model (i.e., SNS or “Sistema Nacional de Salud”) that provides universal coverage to residents and non-residents. The system is funded primarily by general taxes, and it is managed by the 17 regions that have responsibility for the provision and management of healthcare services in their respective territories. The health system recognizes self-care as an important element where individuals have an important role to play in maintaining their own health and preventing illness. In addition, there are non-governmental organizations that promote self-care and provide resources and support to individuals and health professionals. Over 55 thousand pharmacists work in 22,198 community pharmacies distributed throughout the Spanish territory. Pharmacies are the only setting that provide non-prescription medications, which is one of the most used tools for self-care. In addition, they provide a range of Primary Care services to improve patient outcomes and the efficiency of the SNS. This paper includes a description and a classification of the community pharmacy services following the seven pillars of self-care established by the International Self-Care Foundation: - Related to pillars 1 to 4 and 6, Spanish community pharmacists provide health promotion, health education, health information and nutritional assessment. - In relation to pillar 5, the services offered are HIV and syphilis screening, colorectal and cervix cancer screening, SARS-CoV-2 screening test and communication, diabetes, high blood pressure and hypercholesterolemia screening. Regarding the programs for avoiding/stopping drug use: methadone supply, syringe exchange and smoking cessation. Another important service is immunization. Spanish community pharmacists are not legally allowed to vaccinate; however, they contribute through education, or vaccines supply, among others. - For the pillar 7, community pharmaci

Switzerland is a federal country with a liberal health system built on private mandatory health insurance where the government has three different roles (health protector, guarantor of the offered care and regulator). Health is mostly considered as a responsibility that lies with the individual person. Swiss health policies do not include the term "self-care", although, the federal policy strategy established for this decade (Health2030) includes objectives and lines of action, some of which could be classified as self-care. Swiss policies do not specify the role of health professionals; therefore, it is up to each canton (the terminology used to describe a state of the Swiss Confederation), organization or enterprise to stipulate it. Regarding pharmacists, 1844 community pharmacies (CPs) take care of nearly 260,000 patients each day. The CPs play an important role in self-care that includes activities such as improving patients' health literacy, screening for different health problems, self-medication education or recommendation related to non-prescription medication. The government understands and emphasizes the importance of CPs' role in primary health care to overcome some of the health care system challenges, part of these actions related to self-care. However, there is scope for expansion regarding the role of the CPs in self-care. Nowadays the services and activities related are driven by health authorities (i.e., pharmacists' autonomous prescribing, vaccination, strategy for the prevention of non-communicable diseases or digitization of electronic patients' record), professional pharmacy associations (i.e., netCare® or screening tests), health foundations (i.e., prevention of addiction) and/or private stakeholders such as chain pharmacies (i.e., screening tests). The possibility of including some of these services related to self-care (even when no medication is supplied) as covered services for the mandatory health insurance is currently politically discuss

Spain is a European country with over 47.5 million inhabitants and a public National Health System model (i.e., SNS or “Sistema Nacional de Salud”) that provides universal coverage to residents and non-residents. The system is funded primarily by general taxes, and it is managed by the 17 regions that have responsibility for the provision and management of healthcare services in their respective territories. The health system recognizes self-care as an important element where individuals have an important role to play in maintaining their own health and preventing illness. In addition, there are non-governmental organizations that promote self-care and provide resources and support to individuals and health professionals. Over 55 thousand pharmacists work in 22,198 community pharmacies distributed throughout the Spanish territory. Pharmacies are the only setting that provide non-prescription medications, which is one of the most used tools for self-care. In addition, they provide a range of Primary Care services to improve patient outcomes and the efficiency of the SNS. This paper includes a description and a classification of the community pharmacy services following the seven pillars of self-care established by the International Self-Care Foundation: - Related to pillars 1 to 4 and 6, Spanish community pharmacists provide health promotion, health education, health information and nutritional assessment. - In relation to pillar 5, the services offered are HIV and syphilis screening, colorectal and cervix cancer screening, SARS-CoV-2 screening test and communication, diabetes, high blood pressure and hypercholesterolemia screening. Regarding the programs for avoiding/stopping drug use: methadone supply, syringe exchange and smoking cessation. Another important service is immunization. Spanish community pharmacists are not legally allowed to vaccinate; however, they contribute through education, or vaccines supply, among others. - For the pillar 7, community pharmaci

Switzerland is a federal country with a liberal health system built on private mandatory health insurance where the government has three different roles (health protector, guarantor of the offered care and regulator). Health is mostly considered as a responsibility that lies with the individual person. Swiss health policies do not include the term "self-care", although, the federal policy strategy established for this decade (Health2030) includes objectives and lines of action, some of which could be classified as self-care. Swiss policies do not specify the role of health professionals; therefore, it is up to each canton (the terminology used to describe a state of the Swiss Confederation), organization or enterprise to stipulate it. Regarding pharmacists, 1844 community pharmacies (CPs) take care of nearly 260,000 patients each day. The CPs play an important role in self-care that includes activities such as improving patients' health literacy, screening for different health problems, self-medication education or recommendation related to non-prescription medication. The government understands and emphasizes the importance of CPs' role in primary health care to overcome some of the health care system challenges, part of these actions related to self-care. However, there is scope for expansion regarding the role of the CPs in self-care. Nowadays the services and activities related are driven by health authorities (i.e., pharmacists' autonomous prescribing, vaccination, strategy for the prevention of non-communicable diseases or digitization of electronic patients' record), professional pharmacy associations (i.e., netCare® or screening tests), health foundations (i.e., prevention of addiction) and/or private stakeholders such as chain pharmacies (i.e., screening tests). The possibility of including some of these services related to self-care (even when no medication is supplied) as covered services for the mandatory health insurance is currently politically discuss

BACKGROUND: Documentation of pharmacists' activities, such as drug related problems (DRPs) management, is necessary to estimate fair remuneration but is rarely done in community pharmacies. OBJECTIVE: To document and evaluate the evolution of DRPs prevalence and management over six years. METHODS: Observational study carried out since 2016 in a community pharmacy. Documentation was made yearly for 21 days (depending on seasons, holidays and medical internship rotations) using the ClinPhADoc tool. Pharmacists documented: medication, DRP type, intervention, implied partner and time for DRP management. A subanalysis was made depending on the medical rotation. RESULTS: A total of 171 437 prescriptions were received and 6 844 (4.0%) documented with 1 550 DRPs. Most frequent DRPs were procedural (n = 506, 32.6%), dosage/posology (n = 263, 17.0%) and drug-drug interaction (n = 153, 9.9%). Mean time dedicated to DRP management was 6.9 min, the longest time was for clinical DRPs (11.0 min, SD = 6.6). Most DRPs (n = 726, 44.6%) were managed by the pharmacist alone taking less working time than when involving other stakeholders (p < 0.01). Statistically significant differences were found in DRPs between the beginning and end of medical rotation (p < 0.05). CONCLUSIONS: Documentation of DRP management allowed consistent results over the years. Patterns of DRPs can be used to develop inter-professional interventions to prevent DRPs.

Background: Data analysis techniques such as machine learning have been used for assisting in triage and the diagnosis of health problems. Nevertheless, it has not been used yet to assist community pharmacists with services such as the Minor Ailment Services These services have been implemented to reduce the burden of primary care consultations in general medical practitioners (GPs) and to allow a better utilization of community pharmacists' skills. However, there is a need to refer high-risk patients to GPs. Aim: To develop a predictive model for high-risk patients that need referral assisting community pharmacists' triage through a minor ailment service. Method: An ongoing pragmatic type 3 effectiveness-implementation hybrid study was undertaken at a national level in Spanish community pharmacies since October 2020. Pharmacists recruited patients presenting with minor ailments and followed them 10 days after the consultation. The main outcome measured was appropriate medical referral (in accordance with previously co-designed protocols). Nine machine learning models were tested (three statistical, three black box and three tree models) to assist pharmacists in the detection of high-risk individuals in need of referral. Results: Over 14'000 patients were included in the study. Most patients were female (68.1%). With no previous treatment for the specific minor ailment (68.0%) presented. A percentage of patients had referral criteria (13.8%) however, not all of these patients were referred by the pharmacist to the GP (8.5%). The pharmacists were using their clinical expertise not to refer these patients. The primary prediction model was the radial support vector machine (RSVM) with an accuracy of 0.934 (CI95 = [0.926,0.942]), Cohen's kappa of 0.630, recall equal to 0.975 and an area under the curve of 0.897. Twenty variables (out of 61 evaluated) were included in the model. radial support vector machine could predict 95.2% of the true negatives and 74.8% of the true

This work is focused on the Almonte-Marismas aquifer located within Doñana Natural Space (SW Spain); this aquifer is threatened by droughts, irrigation-driven groundwater overexploitation, urban use, and the potential reactivation of gas extraction and storage projects. We present ground deformation measurements from Sentinel-1 Interferometric Synthetic Aperture Radar (InSAR) data ranging from 1 to 2.5 cm, covering ∼2,500 km2 from 2014 to 2020. Detecting spatially distributed ground deformation over this agricultural area is challenging due to the low-coherence radar signals; consequently, the ground movement results are on the same order of magnitude as the errors associated with InSAR data. We have approached this issue by considering auxiliary information such as groundwater levels, climatic time series, and pumping rates and analyzing their spatio-temporal connections to ground displacements. We correlate InSAR and hydrogeological information through wavelet analysis, developing a Python package that allows applying the same methodology in other similar study areas. For the first time in the Doñana area, a significant relationship between distances to pumping wells and the displacement extent is detected. Moreover, other subsidence-related triggering factors are identified, such as the soil moisture balance, clay shrinking-swelling processes, and creep of geological formations. These results are highly valuable to support aquifer management decisions in the Doñana Natural Space; in this border region, three groundwater bodies were officially declared overexploited in 2020. Our findings provide a ground motion baseline assessment to help differentiate historical variations from any future anthropogenic effect in this complex marsh land ecosystem.

Current biodiversity monitoring in Europe is fragmented and often inconsistent across countries. Monitoring efforts face multiple challenges including insufficient technical and human capacity, limited funding, data unavailability, and lack of long-term policy support. To address these challenges, the Europa Biodiversity Observation Network (EuropaBON) proposes five clusters of solutions to improve the collection and uptake of policy-relevant biodiversity data: - Enhance coordination and collaboration of monitoring efforts by identifying priorities, using standardized protocols, and aligning reporting requirements with specific indicators. - Increase data standardization through the combination of Essential Biodiversity and Essential Ecosystem Services Variables (EBVs and EESVs) with dedicated data sharing and exchange mechanisms that adhere to open and FAIR (findable, accessible, interoperable, and reusable) principles. - Leverage modeling efforts and new technologies to integrate with traditional monitoring methods. - Enable additional, consistent, and long-term financial resources for monitoring efforts, including more and better coordination across countries, institutions, and sectors, along with privatesector investments. - Expand, adapt, and deliver capacity building, such as expert training, creating new exchange knowledge platforms, and embracing citizen science initiatives. We propose the creation of a European Biodiversity Monitoring Coordination Centre in the near future to implement lasting improvements in the collection, analysis, reporting, and political uptake of biodiversity data in all European countries.

Current biodiversity monitoring in Europe is fragmented and often inconsistent across countries. Monitoring efforts face multiple challenges including insufficient technical and human capacity, limited funding, data unavailability, and lack of long-term policy support. To address these challenges, the Europa Biodiversity Observation Network (EuropaBON) proposes five clusters of solutions to improve the collection and uptake of policy-relevant biodiversity data: - Enhance coordination and collaboration of monitoring efforts by identifying priorities, using standardized protocols, and aligning reporting requirements with specific indicators. - Increase data standardization through the combination of Essential Biodiversity and Essential Ecosystem Services Variables (EBVs and EESVs) with dedicated data sharing and exchange mechanisms that adhere to open and FAIR (findable, accessible, interoperable, and reusable) principles. - Leverage modeling efforts and new technologies to integrate with traditional monitoring methods. - Enable additional, consistent, and long-term financial resources for monitoring efforts, including more and better coordination across countries, institutions, and sectors, along with privatesector investments. - Expand, adapt, and deliver capacity building, such as expert training, creating new exchange knowledge platforms, and embracing citizen science initiatives. We propose the creation of a European Biodiversity Monitoring Coordination Centre in the near future to implement lasting improvements in the collection, analysis, reporting, and political uptake of biodiversity data in all European countries.

Current biodiversity monitoring in Europe is fragmented and often inconsistent across countries. Monitoring efforts face multiple challenges including insufficient technical and human capacity, limited funding, data unavailability, and lack of long-term policy support. To address these challenges, the Europa Biodiversity Observation Network (EuropaBON) proposes five clusters of solutions to improve the collection and uptake of policy-relevant biodiversity data: - Enhance coordination and collaboration of monitoring efforts by identifying priorities, using standardized protocols, and aligning reporting requirements with specific indicators. - Increase data standardization through the combination of Essential Biodiversity and Essential Ecosystem Services Variables (EBVs and EESVs) with dedicated data sharing and exchange mechanisms that adhere to open and FAIR (findable, accessible, interoperable, and reusable) principles. - Leverage modeling efforts and new technologies to integrate with traditional monitoring methods. - Enable additional, consistent, and long-term financial resources for monitoring efforts, including more and better coordination across countries, institutions, and sectors, along with privatesector investments. - Expand, adapt, and deliver capacity building, such as expert training, creating new exchange knowledge platforms, and embracing citizen science initiatives. We propose the creation of a European Biodiversity Monitoring Coordination Centre in the near future to implement lasting improvements in the collection, analysis, reporting, and political uptake of biodiversity data in all European countries.

Current biodiversity monitoring in Europe is fragmented and often inconsistent across countries. Monitoring efforts face multiple challenges including insufficient technical and human capacity, limited funding, data unavailability, and lack of long-term policy support. To address these challenges, the Europa Biodiversity Observation Network (EuropaBON) proposes five clusters of solutions to improve the collection and uptake of policy-relevant biodiversity data: - Enhance coordination and collaboration of monitoring efforts by identifying priorities, using standardized protocols, and aligning reporting requirements with specific indicators. - Increase data standardization through the combination of Essential Biodiversity and Essential Ecosystem Services Variables (EBVs and EESVs) with dedicated data sharing and exchange mechanisms that adhere to open and FAIR (findable, accessible, interoperable, and reusable) principles. - Leverage modeling efforts and new technologies to integrate with traditional monitoring methods. - Enable additional, consistent, and long-term financial resources for monitoring efforts, including more and better coordination across countries, institutions, and sectors, along with privatesector investments. - Expand, adapt, and deliver capacity building, such as expert training, creating new exchange knowledge platforms, and embracing citizen science initiatives. We propose the creation of a European Biodiversity Monitoring Coordination Centre in the near future to implement lasting improvements in the collection, analysis, reporting, and political uptake of biodiversity data in all European countries.

Current biodiversity monitoring in Europe is fragmented and often inconsistent across countries. Monitoring efforts face multiple challenges including insufficient technical and human capacity, limited funding, data unavailability, and lack of long-term policy support. To address these challenges, the Europa Biodiversity Observation Network (EuropaBON) proposes five clusters of solutions to improve the collection and uptake of policy-relevant biodiversity data: - Enhance coordination and collaboration of monitoring efforts by identifying priorities, using standardized protocols, and aligning reporting requirements with specific indicators. - Increase data standardization through the combination of Essential Biodiversity and Essential Ecosystem Services Variables (EBVs and EESVs) with dedicated data sharing and exchange mechanisms that adhere to open and FAIR (findable, accessible, interoperable, and reusable) principles. - Leverage modeling efforts and new technologies to integrate with traditional monitoring methods. - Enable additional, consistent, and long-term financial resources for monitoring efforts, including more and better coordination across countries, institutions, and sectors, along with privatesector investments. - Expand, adapt, and deliver capacity building, such as expert training, creating new exchange knowledge platforms, and embracing citizen science initiatives. We propose the creation of a European Biodiversity Monitoring Coordination Centre in the near future to implement lasting improvements in the collection, analysis, reporting, and political uptake of biodiversity data in all European countries.

Contains fulltext : 282572.pdf (Publisher’s version ) (Open Access)

Contains fulltext : 282572.pdf (Publisher’s version ) (Open Access)

Observations are key to understand the drivers of biodiversity loss, and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor biodiversity are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. EuropaBON aims to bridge this gap by designing an EU-wide framework for monitoring biodiversity and ecosystem services. EuropaBON harnesses the power of modelling essential variables to integrate different reporting streams, data sources, and monitoring schemes. These essential variables provide consistent knowledge about multiple dimensions of biodiversity change across space and time. They can then be analyzed and synthesized to support decision-making at different spatial scales, from the sub-national to the European scale, through the production of indicators and scenarios. To develop essential biodiversity and ecosystem variables workflows that are policy relevant, EuropaBON is built around stakeholder engagement and knowledge exchange (WP2). EuropaBON will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the feasibility of setting up a center to coordinate monitoring activities across Europe (WP2). Together with stakeholders, EuropaBON will assess current monitoring efforts to identify gaps, data and workflow bottlenecks, and analyse cost-effectiveness of different schemes (WP3). This will be used to co-design improved monitoring schemes using novel technologies to become more representative temporally, spatially and taxonomically, delivering multiple benefits to users and society (WP4). Finally, EuropaBON will demonstrate in a set of showcases how workflows tailored to the Birds Directive, Habitats Directive, Water Framework Directive, Climate and Restoration Policy, and the Bioeconomy Strategy, can be implemented (WP5).

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

Observations are key to understand the drivers of biodiversity loss, and the impacts on ecosystem services and ultimately on people. Many EU policies and initiatives demand unbiased, integrated and regularly updated biodiversity and ecosystem service data. However, efforts to monitor biodiversity are spatially and temporally fragmented, taxonomically biased, and lack integration in Europe. EuropaBON aims to bridge this gap by designing an EU-wide framework for monitoring biodiversity and ecosystem services. EuropaBON harnesses the power of modelling essential variables to integrate different reporting streams, data sources, and monitoring schemes. These essential variables provide consistent knowledge about multiple dimensions of biodiversity change across space and time. They can then be analyzed and synthesized to support decision-making at different spatial scales, from the sub-national to the European scale, through the production of indicators and scenarios. To develop essential biodiversity and ecosystem variables workflows that are policy relevant, EuropaBON is built around stakeholder engagement and knowledge exchange (WP2). EuropaBON will work with stakeholders to identify user and policy needs for biodiversity monitoring and investigate the feasibility of setting up a center to coordinate monitoring activities across Europe (WP2). Together with stakeholders, EuropaBON will assess current monitoring efforts to identify gaps, data and workflow bottlenecks, and analyse cost-effectiveness of different schemes (WP3). This will be used to co-design improved monitoring schemes using novel technologies to become more representative temporally, spatially and taxonomically, delivering multiple benefits to users and society (WP4). Finally, EuropaBON will demonstrate in a set of showcases how workflows tailored to the Birds Directive, Habitats Directive, Water Framework Directive, Climate and Restoration Policy, and the Bioeconomy Strategy, can be implemented (WP5).

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

A new concept of length of a continuous mode shape has been recently defined by the authors, which depends on the mode shape and how the volume is distributed in the structure. This concept was then extended to discrete systems by introducing the concept of a volume matrix. However, finite element programs do not provide the lengths of the mode shapes according to this new definition. Moreover, the volume matrices cannot be exported from the finite element programs. In this paper, an approximate approach is proposed to calculate the length of numerical mode shapes from the nodal components. It has been demonstrated that the length can be estimated with a reasonable accuracy if small finite elements are used. These new techniques are illustrated by several numerical models assembled in ABAQUS. The length of numerical mode shapes can be used to estimate the length of experimental mode shapes using the structural dynamic modification, which is valuable information to validate the modal masses estimated with the existing techniques to determine the modal masses in operational modal analysis.

The magnitude and the units of the modal mass of a mode shape is not unique but it depends on the normalization method used to define the mode shape. Moreover, the magnitude can also depend depends on the number of degrees of freedom (DOFs) used to discretize the model. Recently, a new definition of the length of a mode shape, which depends on the mode shape and how the volume is distributed in the structure, has been proposed by the authors. This definition allows a better definition of the modal mass, which is physically meaningful and does not depend on the number of DOFs of a discrete model. With this new definition, the modal mass in constant mass-density systems is equal to the product between the total mass of the structure and the length squared. This property can be used advantageously to validate the modal masses estimated with the techniques proposed by different authors to determine the modal masses in operational modal analysis. In this paper, these new concepts are explained by analytical, numerical, and experimental examples. The model masses of an experimental steel beam structure were estimated by experimental modal analysis and validated with the equations proposed in this paper. Moreover, the modal masses and lengths of a rigid beam supported on two springs, were calculated using different sets of DOF’s and different types of normalization, demonstrating that the same mass normalized mode shapes are obtained.

BACKGROUND: Self-perceived minor ailments might conceal other health conditions if patients are not appropriately assisted by health care professionals. The aim of the study was to evaluate the patient-related outcomes of a community pharmacy Minor Ailment Service (MAS) compared to usual pharmacist care (UC). METHODS: A cluster randomised controlled trial was conducted over six months in community pharmacy in the province of Valencia (Spain). Patients seeking care or requesting a product for a minor ailments considered in the study (dermatological problems, gastrointestinal disturbance, pain and upper respiratory tract related symptoms) were included. The intervention consisted of a standardised pharmacist-patient consultation guided by a web-based program using co-developed management protocols and patients' educational material. Patients were followed up by phone ten days later. Primary clinical outcomes were appropriate medical referral and modification of direct product request. Secondary outcomes were symptom resolution and reconsultation rates. RESULTS: A total of 808 patients (323 MAS and 485 UC) were recruited in 27 pharmacies of 21 municipalities. Patients visiting MAS pharmacies had higher odds for being referred to a physician (OR = 2.343, CI95% = [1.146-4.792]) and higher reconsultation rates (OR = 1.833, CI95% = [1.151-2.919]) compared to UC. No significant differences between groups were observed for modification of direct product request and symptom resolution. CONCLUSIONS: The use of management protocols through the MAS strengthened the identification of referral criteria such as red flags in patients suffering minor ailments. These patients with symptoms of minor ailments possibly due to more severe illness were to be referred and evaluated by physicians. Results reinforce that MAS increases safety for those patients consulting in community pharmacy for minor ailments. TRIAL REGISTRATION: Trial registration number: ISRCTN17235323. Retrospectively re

BACKGROUND: Self-perceived minor ailments might conceal other health conditions if patients are not appropriately assisted by health care professionals. The aim of the study was to evaluate the patient-related outcomes of a community pharmacy Minor Ailment Service (MAS) compared to usual pharmacist care (UC). METHODS: A cluster randomised controlled trial was conducted over six months in community pharmacy in the province of Valencia (Spain). Patients seeking care or requesting a product for a minor ailments considered in the study (dermatological problems, gastrointestinal disturbance, pain and upper respiratory tract related symptoms) were included. The intervention consisted of a standardised pharmacist-patient consultation guided by a web-based program using co-developed management protocols and patients' educational material. Patients were followed up by phone ten days later. Primary clinical outcomes were appropriate medical referral and modification of direct product request. Secondary outcomes were symptom resolution and reconsultation rates. RESULTS: A total of 808 patients (323 MAS and 485 UC) were recruited in 27 pharmacies of 21 municipalities. Patients visiting MAS pharmacies had higher odds for being referred to a physician (OR = 2.343, CI95% = [1.146-4.792]) and higher reconsultation rates (OR = 1.833, CI95% = [1.151-2.919]) compared to UC. No significant differences between groups were observed for modification of direct product request and symptom resolution. CONCLUSIONS: The use of management protocols through the MAS strengthened the identification of referral criteria such as red flags in patients suffering minor ailments. These patients with symptoms of minor ailments possibly due to more severe illness were to be referred and evaluated by physicians. Results reinforce that MAS increases safety for those patients consulting in community pharmacy for minor ailments. TRIAL REGISTRATION: Trial registration number: ISRCTN17235323. Retrospectively re

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

In this report, we present the analysis of the different available biodiversity data streams at the EU and national level, both baseline biodiversity data and monitoring data. We assess how these biodiversity data inform and trigger policy action and identify the related challenges the different European countries and relevant EU agencies face and the solutions to overcome them. To do this, we consulted with more than 350 expert stakeholders from policy, research and practice. The assessment identified a fragmented biodiversity data landscape that cannot currently easily answer all relevant policy questions. Quantity and quality of biodiversity baseline datasets differ for the different countries, ranging from non-existent biodiversity monitoring due to capacity issues, to regular monitoring of ecosystem processes and state. By engaging stakeholders and experts in both member states and non-member states and from several EU bodies, we identified key challenges and ways to address these with targeted solutions towards building a joint European Biodiversity Monitoring Network. Solutions include focussing on cooperation and coordination, enhanced data standardisation and sharing, as well as the use of models and new technologies. These solutions can however only be realised with dedicated funding and capacity building, in coordination with all stakeholders in partnership.

Fucoidans possess antitumoral properties, confirmed by in vitro and in vivo tests and by some clinical studies. However, the heterogeneous characteristics of these complex polysaccharides, the strong influence of collecting and processing conditions, as well as the lack of assays with standardized purified products make the comparison of available data difficult. Most in vitro tests have been performed with purified fractions, and most in vivo studies with commercial, either crude or purified, fucoidans. Molecular weight, monosaccharide composition, sulfation pattern, and the presence of other substituents are highly dependent on the extraction and purification conditions and in order to maintain active structures, the loss of sulfate and other active groups has to be avoided. This review presents information on the influence of the processing stages on the composition and antitumoral properties of fucoidans, and the relevance of other strategies, such as combination with conventional drugs or encapsulation, to enhance bioactivity.