Industry 4.0 is a new industrial paradigm that brings new challenges for workers as they have to actively collaborate with robots in an interconnected environment. The main purpose of this paper is to give a brief overview of how collaborative robots can be used to support human workers in Industry 4.0 manufacturing environments. The use of collaborative robots certainly brings many advantages as these machines enable more efficient product systems by supporting workers with both physical and cognitive tasks, as is the case of exoskeletons. On the other hand, human–robot interaction might also have some risks if human factors considerations are not well thought through throughout the process. Moreover, it becomes clear that the role that humans have been playing so far in a manufacturing environment is rapidly changing. Human workers will have to adapt to these new systems by acquiring and improving a set of skills that have sometime been neglected until nowadays.

Abstract Background Few implementation science (IS) measures have been evaluated for validity, reliability and utility – the latter referring to whether a measure captures meaningful aspects of implementation contexts. We present a real-world case study of rigorous measure development in IS that assesses Barriers and Facilitators in Implementation of Task-Sharing in Mental Health services (BeFITS-MH), with the objective of offering lessons-learned and a framework to enhance measurement utility. Methods We summarize conceptual and empirical work that informed the development of the BeFITS-MH measure, including a description of the Delphi process, detailed translation and local adaptation procedures, and concurrent pilot testing. As validity and reliability are key aspects of measure development, we also report on our process of assessing the measure’s construct validity and utility for the implementation outcomes of acceptability, appropriateness, and feasibility. Results Continuous stakeholder involvement and concurrent pilot testing resulted in several adaptations of the BeFITS-MH measure’s structure, scaling, and format to enhance contextual relevance and utility. Adaptations of broad terms such as “program,” “provider type,” and “type of service” were necessary due to the heterogeneous nature of interventions, type of task-sharing providers employed, and clients served across the three global sites. Item selection benefited from the iterative process, enabling identification of relevance of key aspects of identified barriers and facilitators, and what aspects were common across sites. Program implementers’ conceptions of utility regarding the measure’s acceptability, appropriateness, and feasibility clustered across several common categories. Conclusions This case study provides a rigorous, multi-step process for developing a pragmatic IS measure. The process and lessons learned will aid in the teaching, practice and research of IS measurement development. The importance of including experiences and knowledge from different types of stakeholders in different global settings was reinforced and resulted in a more globally useful measure while allowing for locally-relevant adaptation. To increase the relevance of the measure it is important to target actionable domains that predict markers of utility (e.g., successful uptake) per program implementers’ preferences. With this case study, we provide a detailed roadmap for others seeking to develop and validate IS measures that maximize local utility and impact.

Abstract Aims Dynamin‐2 is a large GTPase, a member of the dynamin superfamily that regulates membrane remodelling and cytoskeleton dynamics. Mutations in the dynamin‐2 gene ( DNM2 ) cause autosomal dominant centronuclear myopathy (CNM), a congenital neuromuscular disorder characterised by progressive weakness and atrophy of the skeletal muscles. Cognitive defects have been reported in some DNM2 ‐linked CNM patients suggesting that these mutations can also affect the central nervous system (CNS). Here we studied how a dynamin‐2 CNM‐causing mutation influences the CNS function. Methods Heterozygous mice harbouring the p.R465W mutation in the dynamin–2 gene (HTZ), the most common causing autosomal dominant CNM, were used as disease model. We evaluated dendritic arborisation and spine density in hippocampal cultured neurons, analysed excitatory synaptic transmission by electrophysiological field recordings in hippocampal slices, and evaluated cognitive function by performing behavioural tests. Results HTZ hippocampal neurons exhibited reduced dendritic arborisation and lower spine density than WT neurons, which was reversed by transfecting an interference RNA against the dynamin‐2 mutant allele. Additionally, HTZ mice showed defective hippocampal excitatory synaptic transmission and reduced recognition memory compared to the WT condition. Conclusion Our findings suggest that the dynamin‐2 p.R465W mutation perturbs the synaptic and cognitive function in a CNM mouse model and support the idea that this GTPase plays a key role in regulating neuronal morphology and excitatory synaptic transmission in the hippocampus.

81 Background: Although the proportion of elderly cancer patients (pts) increases, few randomized trials provide separate results on this group. Here, we present a sub-analysis of the CRITICS trial, comparing elderly with non-elderly pts. Methods: Preoperative (preop) chemotherapy (CT) included three cycles of epirubicin, cisplatin/oxaliplatin and capecitabine (ECC/EOC); pts were upfront randomized between postoperative (postop) CT (3x ECC/EOC) and chemoradiotherapy (CRT; 45Gy + cisplatin/capecitabine). Elderly pts were defined as age ≥ 70 years at the time of randomization. We present tolerability and outcomes for elderly versus non-elderly pts. Results: Details on baseline characteristics, preop treatment, surgery, postop treatment and survival are shown in Table 1. Tumor type and localization did not differ between both groups. Conclusions: Age had a significant impact on toxicity and tolerability of preop CT, but did not affect surgical resection rates and complications. Although less elderly pts started postop treatment and elderly pts received lower dose in de CT arm, there were no differences in treatment related toxicities. Survival was not significantly different. Clinical trial information: NCT00407186. [Table: see text]

Patients of the Short-stay Child and Adolescent Unit of the Del Salvador Psychiatric Hospital (Valparaíso, Chile) exhibit different clinical and social characteristics compared to literature reports of other national centers, although published data are scarce.To describe the operation of the Unit, the socio-familial and clinical characteristics of its patients and analyze factors associated with their clinical evolution.We performed a cross-sectional study to describe the patients hospitalized over a three-year period. Variables were registered in an anonymized database. Clinical evolution was evaluated over the year following hospital discharge.The Unit's model of care can be described as involving biomedical, psychodynamic, and ecological components. We included 98 patients, of which 70.4% were male, and the average age was 11.5 ± 2.3 years. 82.6% were of low socioeconomic status, and 35.7% did not attend school; 98.9% presented family dysfunction, and 91.8% of parents had a history of psychopathology. The most frequent reason for admission was the risk of harm to self or others. The most frequent discharge diagnoses were behavioral, depressive, and personality development disorders. The average length of stay was 41.8 ± 31.1 days. The most commonly used pharmacological agents were antipsychotics and mood stabilizers. Regarding clinical evolution in the first year post-discharge, 47% were evaluated as positive, 27% regular, and 26% unsatisfactory. The factor associated with an unsatisfactory clinical course was having had in-patient antidepressants. Re-admission during the first year post-discharge was associated with comorbid substance use disorder. Treatment noncompliance was associated with a history of behavioral disorder at hospital discharge and having parents with a history of suicide or consummated suicide.The patient profile is one of low socioeconomic status, severe psychopathology, maladaptive behavior, family dysfunction, and parental psychopathology. Substance use disorder is also associated with readmission.La Unidad de Corta Estadía Infanto-juvenil del Hospital Psiquiátrico del Salvador (Valparaíso, Chile) y sus pacientes poseen características clínicas y sociales diferentes a las reportadas por la escasa literatura nacional al respecto.Describir el funcionamiento la unidad, las características sociofamiliares y clínicas de sus pacientes y analizar los factores asociados a su evolución clínica.Estudio transversal que describió el universo de pacientes hospitalizados durante tres años. Las variables se recogieron desde una base de datos anonimizada. Se evaluó la evolución clínica dentro del año posterior al egreso hospitalario.El modelo de atención de la unidad presenta los componentes biomédico, psicodinámico y ecológico. Se analizaron 98 pacientes, 70,4% hombres, con edad promedio de 11,5 ± 2,3 años. Un 82,6% perteneció al nivel socioeconómico bajo y 35,7% estaba desescolarizado; 98,9% presentó disfunción familiar y 91,8% de los padres portaba alguna psicopatología. Los motivos de ingreso más frecuente fueron riesgo de hetero y autoagresión. Los diagnósticos de egreso más frecuente fueron trastornos de conducta, depresivos y del desarrollo de la personalidad. El tiempo de estadía promedio fue de 41,8 ± 31,1 días. Los fármacos más utilizados fueron antipsicóticos y estabilizadores del ánimo. Un 47% tuvo una buena evolución clínica, 27% regular y 26% insatisfactoria. El único factor que se asoció a esta última fue haber tenido prescrito un antidepresivo durante la hospitalización. El factor que consistentemente se vinculó al reingreso a lo largo de un año, fue el haber presentado trastorno por consumo de sustancias. El abandono a tratamiento se relacionó con haber presentado un trastorno de conducta al egreso hospitalario y a tener padres con antecedente de suicidio o suicidio consumado.El perfil de pacientes de esta unidad corresponde a pacientes de nivel socioeconómico bajo, psicopatología severa, conducta desadaptativa, disfunción familiar y frecuente psicopatología parental. El trastorno por consumo de sustancias es un factor significativamente asociado al reingreso hospitalario.

Mammography is known as one of the best forms to screen possible breast cancer in women, and recently deep learning models have been developed to assist the radiologist in the diagnosis. However, their lack of interpretability has become a significant drawback to their extended use in clinical practice. This paper introduces a novel approach for detecting and localising pathological findings in mammography exams through the use of a EfficientNet-based deep learning model. The model is trained using cropped segments of labelled pathological findings from Vindr Mammography Dataset. Achieving an average F1-score of 72.7 %, and reaching on mass and suspicious calcifications an F1-Score of 79.9 % and 84.5 % respectively. Using this classifier we propose a method to visualise from local information the regions of interest where pathological findings could be present on the complete image. Plus, we describe the limitations regarding area coverage of these patches on the model's capability of generalization and certainty on its predictions, explaining its functionality.

BACKGROUND: The dimensional seat design process should consider both the users’ tasks and their physical characteristics. OBJECTIVE: To use an approach for the design and evaluation of seat dimensions based on the anthropometric characteristics of the Iranian population and the requirements of tractor operators. METHODS: Some existing equations relating the seat dimensions to anthropometric characteristics were modified according to logical justifications and international standards. A new mathematical-statistical method was used to extract the equations estimating the constant seat dimensions based on the theoretical maximizing of the accommodation level. In addition, an Overall Seat Accommodation Score (OSAS) was developed to represent the mean of seat dimensions accommodation level and dimensional accommodation equality, simultaneously. RESULTS: The dimensional seat design can be affected under different conditions of adjustability, esthetic, and space limitations. However, it was shown that it is possible to improve the design of tractor seats without any significant increase in the final cost and complexity. CONCLUSION: A new approach was used for tractor seats for a sample of Iranian operators and can be used for the design and evaluation of tractor seats for other target populations.

The 2019 Coronavirus disease (COVID-19) pandemic is a current challenge for the world’s health systems aiming to control this disease. From an epidemiological point of view, the control of the incidence of this disease requires an understanding of the influence of the variables describing a population. This research aims to predict the COVID-19 incidence in three risk categories using two types of machine learning models, together with an analysis of the relative importance of the available features in predicting the COVID-19 incidence in the Chilean urban commune of Concepción. The classification results indicate that the ConvLSTM (Convolutional Long Short-Term Memory) classifier performed better than the SVM (Support Vector Machine), with results between 93% and 96% in terms of accuracy (ACC) and F-measure (F1) metrics. In addition, when considering each one of the regional and national features as well as the communal features (DEATHS and MOBILITY), it was observed that at the regional level the CRITICAL BED OCCUPANCY and PATIENTS IN ICU features positively contributed to the performance of the classifiers, while at the national level the features that most impacted the performance of the SVM and ConvLSTM were those related to the type of hospitalization of patients and the use of mechanical ventilators.

Insufficient oxygen supply represents a relevant issue in several fields of human physiology and medicine. It has been suggested that the implantation of photosynthetic cells can provide oxygen to tissues in the absence of a vascular supply. This approach has been demonstrated to be successful in several in vitro and in vivo models; however, no data is available about their safety in human patients. Here, an early phase-1 clinical trial (ClinicalTrials.gov identifier: NCT03960164, https://clinicaltrials.gov/ct2/show/NCT03960164) is presented to evaluate the safety and feasibility of implanting photosynthetic scaffolds for dermal regeneration in eight patients with full-thickness skin wounds. Overall, this trial shows that the presence of the photosynthetic microalgae Chlamydomonas reinhardtii in the implanted scaffolds did not trigger any deleterious local or systemic immune responses in a 90 days follow-up, allowing full tissue regeneration in humans. The results presented here represent the first attempt to treat patients with photosynthetic cells, supporting the translation of photosynthetic therapies into clinics.

Establishing a node importance ranking is a problem that has attracted the attention of many researchers in recent decades. For unweighted networks where the edges do not have any attached weight, many proposals have been presented, considering local or global information of the networks. On the contrary, it occurs in undirected edge-weighted networks, where the proposals to address this problem have been more scarce. In this paper, a ranking method of node importance for undirected and edge-weighted is provided, generalizing the measure of line importance (DIL) based on the centrality degree proposed by Opsahl. The experimentation was done on five real networks and the results illustrate the benefits of our proposal.

Objectives: The study aimed at analyzing the prevalence of five psychological outcomes (depression, anxiety, stress, post-traumatic stress disorder (PTSD), and suicidal ideation) among Chinese healthcare workers (HCWs), and measured the total possible negative psychological impact 1 year after the COVID-19 initial outbreak. Methods: A cross-sectional nationwide multi-center study was performed between November 2020 and March 2021 in China. A self-report questionnaire was applied, and three psychological scales were used. Binary logistic regression was performed to analyze the risk factors associated with each psychological outcome. Results: The findings demonstrated that the COVID-19 pandemic had a negative psychological impact on HCWs, which was still evident 1 year after the initial outbreak. Nurses showed higher depression and anxiety than other HCWs. Female gender, passive coping, long working hours, having a chronic disease, and experiencing violence, among other factors, were all risk factors for psychological impairment. Conclusion: Developing and promoting programs to improve mental health among HCWs, and identifying those who might need psychological support is still relevant 1 year after the initial outbreak.

Neuromodulation can profoundly impact the gain and polarity of postsynaptic changes in Hebbian synaptic plasticity. An emerging pattern observed in multiple central synapses is a pull–push type of control in which activation of receptors coupled to the G-protein Gs promote long-term potentiation (LTP) at the expense of long-term depression (LTD), whereas receptors coupled to Gq promote LTD at the expense of LTP. Notably, coactivation of both Gs- and Gq-coupled receptors enhances the gain of both LTP and LTD. To account for these observations, we propose a simple kinetic model in which AMPA receptors (AMPARs) are trafficked between multiple subcompartments in and around the postsynaptic spine. In the model AMPARs in the postsynaptic density compartment (PSD) are the primary contributors to synaptic conductance. During LTP induction, AMPARs are trafficked to the PSD primarily from a relatively small perisynaptic (peri-PSD) compartment. Gs-coupled receptors promote LTP by replenishing peri-PSD through increased AMPAR exocytosis from a pool of endocytic AMPAR. During LTD induction AMPARs are trafficked in the reverse direction, from the PSD to the peri-PSD compartment, and Gq-coupled receptors promote LTD by clearing the peri-PSD compartment through increased AMPAR endocytosis. We claim that the model not only captures essential features of the pull–push neuromodulation of synaptic plasticity, but it is also consistent with other actions of neuromodulators observed in slice experiments and is compatible with the current understanding of AMPAR trafficking.

Fear of contagion, together with the consequences of mitigation strategies, are often cited as causes of high levels of anxiety in the general population in the context of the COVID-19 pandemic. However, it is unclear whether published reports make it possible to distinguish between normal and pathological anxiety. We conducted a non-systematic, descriptive literature review on observational studies reporting the prevalence or frequency of anxiety symptoms in non-clinical settings published between July and December 2020. Seventy-six studies were included. Two were conducted through telephone contact while the remainder were conducted on the internet. Factors associated with greater presence/severity of anxiety symptoms were sociodemographic variables (e.g., age, gender, employment, place of residence, living conditions, marital status, and educational level). Thirty publications (39.4%) reported data on a comparison group, including samples of general populations from different geographic regions or in different periods. Only 16 studies (21%) included some estimation of the functional impairment of detected anxiety symptoms. Only seven of the studies that estimated functional impairment had comparison groups. None of the studies included in this review contain sufficient contextual or descriptive information to determine whether the reported high levels of anxiety are normal reactions of subjects in high-stress situations or actual psychiatric disorders.

Este artigo analisa e discute as produções acadêmicas da Educação Física sobre Educação Infantil a partir de uma breve apresentação e análise dos estudos que tomaram tal produção como tema de investigação. Em termos metodológicos se constitui numa revisão integrativa dos artigos, teses e dissertações que se propuseram a estudar a referida produção e estão disponíveis no Portal de Periódicos da CAPES, no Catálogo de Teses e Dissertações da CAPES e na Biblioteca Digital Brasileira de Teses e Dissertações (BDTD). Apresenta uma síntese e análise dos principais aspectos da produção que os estudos nos permitem conhecer, aponta algumas lacunas e indica algumas relações entre os referenciais teóricos que embasam as produções e as proposições apresentadas para a prática pedagógica da Educação com a Educação Infantil que vêm sendo sistematizadas. Conclui que, embora importante, a ênfase dada pelos estudos de revisão e estado da arte aos aspectos quantitativos e descritivos da produção tem dificultado uma compreensão mais abrangente dos discursos que são produzidos sobre a Educação Física na Educação Infantil.