Predicting Suicidal Behavior: Are We Really that Far Along? Comment on “Discovery and Validation of Blood Biomarkers for Suicidality”

A recent publication focused on biomarkers of future suicidal behaviors identifies several genes expressed in high-risk states among four samples. We discuss the implications of this study as well as the current state of research regarding biomarkers of suicidal behavior

Does the type of study on Covid-19 influence the value of Altmetrics?

More than half of the News mentions are not analyzed because period studied is very recent, while volume of information about Covid-19 is high. Scientific evidence Pyramid is well reflected by the Altmetric Attention Score. At the forefront we find Consensus development conferences & guidelines, given their great utility in a period of such uncertainty about the pandemic and the fact that they are usually backed by international organizations. Consensus development conferences are a way to bring together citizens, decision-makers and experts to address issues of public importance. Involve a series of experts who deliver scientific evidence on a subject. This category is followed by Clinical trials, at the peak of the pyramid of scientific evidence, since their results are highly valid and it can be considered the flame of scientific knowledge. Behind these two are the Systematic reviews and Meta-analyses, with similar values. On the other hand, Systematic review attempts to gather all available empirical research by using clearly defined systematic methods to obtain answers to a specific question. A meta-analysis is the statistical process of analyzing and combining results from several similar studies. Reviews, in addition to their educational component, are hypothesis generators, which is very important to analize a new topic such as Covid-19. The lowest values in all the altmetrics were Case reports; although they are useful to start a clinical investigation, is the base of the pyramid. The graphic trends of Twitter mentions and the Altmetric Attention Score are nearly identical, due to AAS collects the 95% of Twitter mentions. We can conclude that altmetric in biomedical research, specifically in the covid research front, could be highly determined by the type of study, and that altmetric can capture the utility or altmetric at attention marker

Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol

The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies to collect data and extract relevant information’s for patient management. Artificial intelligence (AI) techniques allow processing of real-time observational information and continuously learning from data to build understanding. We designed a system able to get clinical sense from digital footprints based on the smartphone’s native sensors and advanced machine learning and signal processing techniques in order to identify suicide risk. Method/design: The Smartcrisis study is a cross-national comparative study. The study goal is to determine the relationship between suicide risk and changes in sleep quality and disturbed appetite. Outpatients from the Hospital Fundación Jiménez Díaz Psychiatry Department (Madrid, Spain) and the University Hospital of Nimes (France) will be proposed to participate to the study. Two smartphone applications and a wearable armband will be used to capture the data. In the intervention group, a smartphone application (MEmind) will allow for the ecological momentary assessment (EMA) data capture related with sleep, appetite and suicide ideations. Discussion: Some concerns regarding data security might be raised. Our system complies with the highest level of security regarding patients’ data. Several important ethical considerations related to EMA method must also be considered. EMA methods entails a non-negligible time commitment on behalf of the participants. EMA rely on daily, or sometimes more frequent, Smartphone notifications. Furthermore, recording participants’ daily experiences in a continuous manner is an integral part of EMA. This approach may be significantly more than asking a participant to complete a retrospective questionnaire but also more accurate in terms of symptoms monitoring. Overall, we believe that Smartcrises could participate to a paradigm shift from the traditional identification of risks factors to personalized prevention strategies tailored to characteristics for each patientThis study was partly funded by Fundación Jiménez Díaz Hospital, Instituto de Salud Carlos III (PI16/01852), Delegación del Gobierno para el Plan Nacional de Drogas (20151073), American Foundation for Suicide Prevention (AFSP) (LSRG-1-005-16), the Madrid Regional Government (B2017/BMD-3740 AGES-CM 2CM; Y2018/TCS-4705 PRACTICO-CM) and Structural Funds of the European Union. MINECO/FEDER (‘ADVENTURE’, id. TEC2015–69868-C2–1-R) and MCIU Explora Grant ‘aMBITION’ (id. TEC2017–92552-EXP), the French Embassy in Madrid, Spain, The foundation de l’avenir, and the Fondation de France. The work of D. Ramírez and A. Artés-Rodríguez has been partly supported by Ministerio de Economía of Spain under projects: OTOSIS (TEC2013–41718-R), AID (TEC2014–62194-EXP) and the COMONSENS Network (TEC2015–69648-REDC), by the Ministerio de Economía of Spain jointly with the European Commission (ERDF) under projects ADVENTURE (TEC2015– 69868-C2–1-R) and CAIMAN (TEC2017–86921-C2–2-R), and by the Comunidad de Madrid under project CASI-CAM-CM (S2013/ICE-2845). The work of P. Moreno-Muñoz has been supported by FPI grant BES-2016-07762

INNOVATION FOR POVERTY REDUCTION WITH INCLUSION IN THE ANDEAN REGION.Panorama Andino - Learning from case studies on locally promoted innovation experiences

N° ISBN - 978-2-7380-1284-5International audienceAgricultural systems in the Andes are going through significant amounts of transformation and are being affected by new dynamics (i.e. globalization, climate change, migration, urbanization). In this context, local communities are developing creative responses and adjustments to these changes through the innovation of agricultural systems. What is the true innovation system that exists in the region? This question recognizes that there is a new reality evolving within innovation systems in the region in response to these new dynamics. Searching to answer this question, the Consortium for the Sustainable Development of the Andes Eco-Region, CONDESAN, is conducting a regional study and synthesis process on innovation of agricultural systems in the Andes, denominated Panorama Andino. The objective of this study is to identify and learn about innovation processes that have had an effect over socio-economic wellbeing of rural populations (poverty reduction with inclusion). The study and synthesis process will permit a deeper knowledge about the practices followed by people who innovate more and what do they do differently from others to produce something new. We expect to learn more about how existing environments (natural, social, cultural, human, political, economical) exercise influence over the occurrence or non-occurrence of an innovation process. Additionally, through mapping all the actors within the innovation processes with their links and synergies, we hope to better understand what actors participate in processes that result in poverty reduction with inclusion. Finally, we expect to identify the role agricultural policies in the region have on innovation systems. We want to understand if policies are encouraging, are becoming barriers to innovation or, are simply not working. Recommendations on how to move forward with innovation at regional level will come out of this analysis

Efficacy of mixed diclofenac solutions against root canal biofilms

Research Group CTS- 167 of the Junta de Andalucia, SpainThe objective of this research was to evaluate the efficacy of diclofenac sodium solutions, with or without cetrimide (CTR) added, against polymicrobial root canal biofilms grown in dentin specimens. The study groups were: (1) 5% diclofenac sodium (DCS); (2) 2.5% DCS; (3) 2.5% DCS + 0. 2% CTR; (4) 2.5% DCS + 0.4% CTR and (5) 0.9% saline solution (SS) as the control. After 5 min of solution contact with the biofilms, the antimicrobial activity was evaluated by means of the adenosine triphosphate (ATP) assay as well as confocal laser scanning microscopy (CLSM). Microbial quantification was indicated as the percentage reduction of relative light units (RLUs) for the ATP assay, the Log(10) total biovolume and the viability percentage (green cells) for CLSM. Solutions of 2.5% DCS + 0.4% CTR and 5% DCS showed the highest antimicrobial efficacy. Cetrimide increased the antibiofilm activity of diclofenac sodium against endodontic biofilms.Junta de Andalucía CTS- 16

An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People

The goal of this study is to estimate the state of consciousness known as Flow, which is associated with an optimal experience and can indicate a person’s efficiency in both personal and professional settings. To predict Flow, we employ artificial intelligence techniques using a set of variables not directly connected with its construct. We analyse a significant amount of data from psychological tests that measure various personality traits. Data mining techniques support conclusions drawn from the psychological study. We apply linear regression, regression tree, random forest, support vector machine, and artificial neural networks. The results show that the multilayer perceptron network is the best estimator, with an MSE of 0.007122 and an accuracy of 88.58%. Our approach offers a novel perspective on the relationship between personality and the state of consciousness known as Flow

Time Series Forecasting for Energy Consumption

In the last few years, there has been considerable progress in time series forecasting algorithms, which are becoming more and more accurate, and their applications are numerous and varied. Specifically, accurately predicting energy consumption in a particular building, country, etc., is an important task for properly managing energy efficiency. Moreover, it can be advantageous to carry this out in a short time frame, taking into account the new consumption paradigm. On the other hand, the time horizon must be considered, which can be short-, medium-, or long-term. For this reason, it is important to develop and implement new intelligent models faster and more accurately. In this way, the application of big data and machine learning techniques have become essential to achieve this goal. This Special Issue sought to contribute to the advancement of energy consumption prediction using artificial intelligence models in an optimal and precise manner.PID2020-112495RB-C21B-TIC-42-UGR20“Next Generation EU” Margaritas Sala

CITES : felinos salvajes : (convenio sobre el comercio internacional de especies amenazadas de fauna y flora silvestres) /

CITES: Convention on International Trade in Endangered Species of Wild Fauna and Flora = Conveni sobre el Comerç Internacional d'Espècies Amenaçades de Fauna i Flora Silvestre.Treball presentat a l'assignatura de Deontologia i Veterinària Legal (21223

Is there a need for a new journal metric? Correlations between JCR Impact Factor metrics and the Journal Citation Indicator —JCI

In 2021, Clarivate published a new version of the Journal Citation Reports (JCR) including a new indicator. The Journal Citation Indicator (JCI) is a new field-normalized metric at journal- level, which is calculated by averaging the Category Normalized Citation Impact (CNCI) of the journal’s articles and reviews published in the preceding three-year period. Unlike the Journal Impact Factor (JIF), it is also calculated for the journals of the Arts & Humanities Citation Index (AHCI) and the Emerging Sources Citation Index (ESCI), which are now included in the JCR. To better understand this new indicator, this article analyses its main statistical characteristics in comparison with the other JCR indicators using all JCR journals and categories. The results highlight the similarities between the JCI and JIF, with a high Pearson correlation (0.853) and a similar distribution. This correlation is also high and homogeneous in the different categories, both for Science and Social Sciences. The JCI is therefore a perfect complement to the JIF, as well as representing an alternative to resolve the well-known problems of the JCR.Ministry of Science and Innovation, Spain (MICINN) Spanish Government PID2019-109127RB- I00/SRA/10.13039/501,100,011,033 Spanish Government FPU18/05,835University of Granada/CBU

A decisão de imigrar: o caso dos imigrantes mexiquenses

Objetive: to identify the processes which lead to the decision of migrating abroad, principally, how Mexicans do it and the restrictions they face. Methodology: interviews were performed to the international migrants from the State of Mexico between December 2012 and February 2013.The analysis was conducted in two stages during the migratory process to the same people: when leaving abroad and returning to their localities. Results: the results showed that both moments of migration have particular forms: people are firmly pressured due to their economic, emotional and family situations; they have the intention to improve and support their homes; and additional actors and unexpected events interfere as well. When returning, they bring lessons and experiences from abroad: family homesickness, lack of employment. Conclusions: the migration decisions are made within social and family environments and have particularities that the theoretical coverage misses; therefore, it was necessary to go directly to the voice of the migrants in order to understand such reflection processes and the influences they receive from the environment.Objetivo: identificar los procesos en los que se gesta la decisión de migrar al extranjero, principalmente, las formas de hacerlo y las restricciones que enfrentan las personas. Metodología: se aplicaron entrevistas a migrantes internacionales del Estado de México, entre diciembre 2012 y febrero 2013. El análisis se realizó en dos etapas del proceso migratorio de los mismos sujetos: cuando partieron al extranjero y cuando retornaron a sus localidades. Resultados: se encontró que ambos momentos de migración tienen formas particulares: las personas reciben fuertes presiones por su situación económica, emocional y socio familiar; tienen intenciones de mejorar y apoyar a sus hogares; también se verifica la injerencia de actores adicionales e imprevistos; al retorno, se suman los aprendizajes y vivencias que han tenido en el extranjero: añoranza familiar, falta de empleo. Conclusiones: las decisiones de migración se realizan en entornos sociales y familiares y presentan particularidades que escapan la cobertura teórica; por eso, fue necesario acudir directamente a la voz de los migrantes para entender estos procesos de cavilación y las influencias que reciben del entorno.Objetivo: identificar os processos nos quais se gesta a decisão de imigrar ao exterior, principalmente, as maneiras de fazê-lo e as limitações que as pessoas enfrentam. Metodologia: entrevistas com migrantes internacionais do Estado do México foram implementadas entre dezembro de 2012 e fevereiro de 2013. A análise foi realizada em duas etapas do processo de imigração dos mesmos participantes: quando eles foram para o exterior e quando eles voltaram para suas localidades. Resultados: verificou-se que ambos momentos de imigração têm formas particulares: as pessoas recebem fortes pressões pela sua situação econômica, emocional e sócio familiar, eles pretendem melhorar e apoiar as suas famílias; também se verifica a ingerência de fatores adicionais e não planejados; e ao momento do retorno, juntam-se as aprendizagens e experiências que eles têm tido no exterior: saudade da família, falta de emprego. Conclusões: as decisões de migração são feitas em ambientes sociais e familiares e apresentam particularidades que saem da cobertura teórica; portanto, era necessário ir diretamente à voz dos migrantes para entender esses processos de meditação e as influências que recebem do ambiente