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The use of graphene-based materials to engineer sophisticated biosensing interfaces that can adapt to the central nervous system requires a detailed understanding of how such materials behave in a biological context. Graphene’s peculiar properties can cause various cellular changes, but the underlying mechanisms remain unclear. Here, we show that single-layer graphene increases neuronal firing by altering membrane-associated functions in cultured cells. Graphene tunes the distribution of extracellular ions at the interface with neurons, a key regulator of neuronal excitability. The resulting biophysical changes in the membrane include stronger potassium ion currents, with a shift in the fraction of neuronal firing phenotypes from adapting to tonically firing. By using experimental and theoretical approaches, we hypothesize that the graphene–ion interactions that are maximized when single-layer graphene is deposited on electrically insulating substrates are crucial to these effects.

Background: To implement recovery-oriented practice, it is important to have instruments capable of evaluating such practice. A number of different questionnaires have been developed in recent years which measure recovery orientation in mental health services. Objective: To identify and analyze patient-reported experience measures (PREMs) reported in the literature that are related to recovery-oriented practice in mental health services. Methodology: This study followed the Joanna Briggs Institute methodology for scoping reviews. Searches were carried out in the Web of Science, CINAHL, Medline (via Pubmed), and SCOPUS databases and in grey literature repositories (Google Scholar, Opengrey, Dart-Europe, Teseo). Papers on recovery services for adults suffering from mental disorders (MDs) were included. Those focusing on addiction and intellectual disability care services were excluded. Results: Sixteen papers met the inclusion criteria. The selected PREMs mainly identified recovery-oriented systems, treatment, community integration and support as the dimensions addressed most frequently in questionnaires. The average number of items included in the questionnaires was found to be 54. With regard to psychometric properties, 62% of the papers evaluated reliability (internal consistency) and 56% provided some kind of evidence of validity. Conclusions: This review aims to give an overview of the existing instruments in the literature and to highlight the characteristics of each one of them. Several different PREMs exist which evaluate recovery-oriented practice. No instrument currently exists which could be described as a benchmark tool, but there are quite a few with good psychometric properties capable of producing data that are useful when evaluating clinical services.

The prediction of temperature effects from first principles is computationally demanding and typically too approximate for the engineering of high-temperature processes. Here, we introduce a hybrid approach combining zero-Kelvin first-principles calculations with a Gaussian process regression model trained on temperature-dependent reaction free energies. We apply this physics-based machine-learning model to the prediction of metal oxide reduction temperatures in high-temperature smelting processes that are commonly used for the extraction of metals from their ores and from electronics waste and have a significant impact on the global energy economy and greenhouse gas emissions. The hybrid model predicts accurate reduction temperatures of unseen oxides, is computationally efficient, and surpasses in accuracy computationally much more demanding first-principles simulations that explicitly include temperature effects. The approach provides a general paradigm for capturing the temperature dependence of reaction free energies and derived thermodynamic properties when limited experimental reference data is available. Computational material design often does not account for temperature effects. The present manuscript combines quantum-mechanics based calculations with a machine-learned correction to establish a unified thermodynamics framework for accurate prediction of high temperature reaction free energies in oxides.

Background: Water is a scarce resource and is considered a fundamental pillar of sustainable development. The modern development of society requires more and more drinking water. For this cleaner wastewater, treatments are key factors. Among those that exist, advanced oxidation processes are being researched as one of the sustainable solutions. The main objective of this manuscript is to show the scientific advances in this field. Methods: In this paper, a systematic analysis of all the existing scientific works was carried out to verify the evolution of this line of research. Results: It was observed that the three main countries researching this field are China, Spain, and the USA. Regarding the scientific collaboration between countries, three clusters were detected—one of Spain, one of China and the USA, and one of Italy and France. The publications are grouped around three types of water: industrial, urban, and drinking. Regarding the research, 15 clusters identified from the keywords analyzed the advanced oxidation process (alone or combined with biological oxidation) with the type of wastewater and the target pollutant, removal of which is intended. Finally, the most important scientific communities or clusters detected in terms of the number of published articles were those related to the elimination of pollutants of biological origin, such as bacteria, and of industrial nature, such as pesticides or pharmaceutical products.

Background: Malaria is one of the infectious diseases of greatest interest to the scientific community and of greatest concern to international health authorities. Traditionally, the focus has been on Plasmodium falciparum, the parasite that causes the most severe form of the disease in Africa. However, in the last twenty years, the Plasmodium vivax parasite, responsible for a large number of cases in Latin America, the Middle East, South and Southeast Asia, the Horn of Africa, and Oceania, has also generated enormous interest due, among other things, to the published evidence that it can cause severe malaria. Methods: In this paper, the international scientific publication on malaria and P. vivax has been analyzed using the Scopus database to try to define global trends in this field of study. Results: It has been shown that events such as the emergence of resistance to certain drugs can break a trend. The important role of non-malaria-endemic countries such as the USA or Switzerland in malaria research is also evident. Conclusions: International cooperation will be essential for the eradication of the disease. Moreover, in this sense, the general vision given by the bibliometric analysis of malaria caused by P. vivax is fundamental to paint the picture regarding the current situation and encourage international cooperation and control efforts.

The first sequencing of a complete genome was published forty years ago by the double Nobel Prize in Chemistry winner Frederick Sanger. That corresponded to the small sized genome of a bacteriophage, but since then there have been many complex organisms whose DNA have been sequenced. This was possible thanks to continuous advances in the fields of biochemistry and molecular genetics, but also in other areas such as nanotechnology and computing. Nowadays, sequencing sensors based on genetic material have little to do with those used by Sanger. The emergence of mass sequencing sensors, or new generation sequencing (NGS) meant a quantitative leap both in the volume of genetic material that was able to be sequenced in each trial, as well as in the time per run and its cost. One can envisage that incoming technologies, already known as fourth generation sequencing, will continue to cheapen the trials by increasing DNA reading lengths in each run. All of this would be impossible without sensors and detection systems becoming smaller and more precise. This article provides a comprehensive overview on sensors for DNA sequencing developed within the last 40 years.

Aim: Disentangling the relative importance of climatic and anthropogenic factors is crucial in conservation biology but problematic using short-term data only. Long-term (palaeobiological) data are thus increasingly being used to understand taxon history and to identify potential status and baseline (pre-anthropogenic) conditions, which in turn allows the optimization of species conservation plans. We combined species distribution models (SDMs) with current and palaeo-occurrences of Microtus cabrerae, a threatened Mediterranean rodent, to circumvent the limitations of the palaeorecord (e.g. spatio-temporal bias), to characterize this rodent's history (potential status and baseline conditions) since the Mid-Holocene (∼6,000 yr BP), and to determine the relative importance of climatic and anthropogenic factors in its decline. Location: Historic distributional range of M. cabrerae (Iberian Peninsula and SE France). Methods: We used generalized linear models (GLMs) to study the effects of four climatic (temperature and precipitation seasonality, minimum temperature, aridity) and four anthropogenic variables (human influence index, surface area of irrigated crops, rain-fed crops and pastures) on the species' current distribution. Then, we used an ensemble of SDMs to estimate its current and Mid-Holocene potential distributions based only on climate variables, and validated model projections against current and palaeo records. Finally, suitability maps were analysed to study the species' range dynamics during the Late Holocene. Results: Microtus cabrerae's current distribution is constrained by both climatic and anthropogenic variables. Temperature and precipitation seasonality—but not aridity or minimum temperature—play an important positive role in constraining its distribution, but agriculture is the main human activity that affects it negatively. Climatic changes during the Late Holocene probably led to an expansion of its distribution without fragmentating its range. Main conclusions: Contrary to previous hypotheses, under natural conditions, M. cabrerae should be in an expansive phase of its taxon cycle. Yet, its potential and current conservation status is negatively affected by agricultural habitat destruction, suggesting that conservation strategies should aim to control agricultural intensification.

Background Patient education on pharmacological treatment could reduce readmissions. Our objective was to carry out a pharmacist intervention focused on providing information about high-risk medications to chronic patients and to analyse its influence on readmissions and costs. Methods A single-centre study with an intervention group and a retrospective control group was conducted. The intervention was carried out in all polymedicated patients ≥ 65 years who were admitted to internal medicine and signed the informed consent between June 2017 and February 2018. Patients discharged to nursing homes or long-term hospitals were excluded. The control group were all the patients who were admitted during the same months of 2014 who met the same inclusion criteria. The patients were classified according to the HOSPITAL score as having a low, intermediate, or high risk of potentially avoidable readmission. Outcome measures were 30-day readmission and cost data. To analyse the effect of the intervention on readmission, a logistic regression was performed. Results The study included 589 patients (286 intervention group; 303 control group). The readmission rate decreased from 20.13% to 16.43% in the intervention group [OR = 0.760 95% CI (0.495–1.166); p  = 0.209)]. The incremental cost for the intervention to prevent one readmission was €3,091.19, and the net cost saving was €1,301.26. In the intermediate- and high-risk groups, readmissions were reduced 10.91% and 10.00%, and the net cost savings were €3,3143.15 and €3,248.71, respectively. Conclusions The pharmacist intervention achieved savings in the number of readmissions, and the net cost savings were greater in patients with intermediate and high risks of potentially avoidable readmission according to the HOSPITAL score.

The COVID-19 pandemic has brought about changes in mental health occupational therapy. Research into these changes and the associated risks of relapse is insufficient. To explore the changes that have taken place in forms of occupational intervention (face-to-face and online) during the pandemic, and to analyze their association with subsequent relapses, a multicenter retrospective cohort study was carried out of 270 patients with mental disorder diagnoses under follow-up in day hospitals during 2020. Our results show that the frequency of face-to-face occupational therapy interventions decreased during lockdown and subsequently recovered. Interventions via telehealth increased during lockdown and have since been continued to a greater extent than before lockdown. Patients who received occupational intervention via telehealth relapsed less in the following six months (10.7% vs. 26.3%; χ2 = 10.372; p = 0.001), especially those who received intervention via videoconferencing (4.2% vs. 22%; χ2 = 5.718; p = 0.017). In conclusion, lockdown subsequent to the COVID-19 outbreak led to a reduction in face-to-face occupational therapy interventions, putting people with prior mental disorders at risk, while the implementation of telehealth tools helped reduce relapses.

From the perspective of positive psychology, the study and measurement of subjective well-being has popularized a growing interest towards variables such as affective perception. In an attempt to explain and evaluate the affective structure in positive terms (PA) and negative terms (NA), PANASN affect scale (Sandín, 2003) constitutes the version adapted for children and teenagers of the Positive and Negative Affect Schedule (Watson et al., 1988). Opposite to the confirmatory study made in teenagers by Sandín (2003), this paper proceeds to analyse the internal structure and reliability of the above-mentioned questionnaire after being administered to 636 students aged between 6 and 14 years. An instrumental type of research methodology was carried out. The instrument used was the Positive and Negative Affect Scale for Children and Adolescents (PANASN). While confirmatory and exploratory analysis show an appropriate adjustment, these properties tend to fade when three or four factors are considered. In response to this, we reflect on the need to consider certain aspects of improvement in content and form, which are essential if we want to use said instrument with primary education students.