Rough Sets: a Bibliometric Analysis from 2014 to 2018

Along almost forty years, considerable research has been undertaken on rough set theory to deal with vague information. Rough sets have proven to be extremely helpful for a diversity of computer-science problems (e.g., knowledge discovery, computational logic, machine learning, etc.), and numerous application domains (e.g., business economics, telecommunications, neurosciences, etc.). Accordingly, the literature on rough sets has grown without ceasing, and nowadays it is immense. This paper provides a comprehensive overview of the research published for the last five years. To do so, it analyzes 4,038 records retrieved from the Clarivate Web of Science database, identifying (i) the most prolific authors and their collaboration networks, (ii) the countries and organizations that are leading research on rough sets, (iii) the journals that are publishing most papers, (iv) the topics that are being most researched, and (v) the principal application domains

Effectiveness of Motor Imagery on Motor Recovery in Patients with Multiple Sclerosis: Systematic Review

The effects of motor imagery (MI) on functional recovery of patients with neurological pathologies, such as stroke, has been recently proven. The aim of this study is to evaluate the effectiveness of MI on motor recovery and quality of life (QOL) in patients with multiple sclerosis (pwMS). A search was carried out in the following scientific databases: PubMed, CINAHL, PEDro, Scopus, Cochrane and Web of Science, up to November 2020. The grey literature and reference lists of potentially relevant articles were also searched. The Checklist for Measuring Quality and The Cochrane collaboration's tool were used to assess the methodological quality and risk of bias of the studies. Five studies were included in the systematic review. Findings showed that pwMS using MI had significant improvements in walking speed and distance, fatigue and QOL. In addition, several benefits were also found in dynamic balance and perceived walking ability. Although the evidence is limited, rehabilitation using MI with the application of musical and verbal guides (compared to non-intervention or other interventions), can produce benefits on gait, fatigue and QOL in pwMS with a low score in the Expanded Disability Status Scale.Department of Nursing and Physiotherapy (University of Cadiz, Spain

Effectiveness of Mechanical Horse-Riding Simulators on Postural Balance in Neurological Rehabilitation: Systematic Review and Meta-Analysis

Mechanical horse-riding simulators consist of a device that mimics the movement of a real horse, generating between 50 and 100 three-dimensional physical movements (forward and back, left and right, up and down). The main objective of this study is to analyze the effectiveness of mechanical horse-riding simulators to improve postural balance in subjects with neurological disorders. The search was conducted during January-March 2019 in PubMed, Physiotherapy Evidence Database (PEDro), Cochrane, Web of Science, CINAHL, and Scopus. The methodological quality of the studies was evaluated through the PEDro scale. A total of seven articles were included in this systematic review, of which four contributed information to the meta-analysis. Statistical analysis showed favorable results for balance in stroke patients, measured by the Berg Balance Scale (standardized mean difference (SMD) = 3.24; 95%; confidence interval (CI): 1.66-4.83). Not conclusive results were found in sitting postural balance, measured using the Gross Motor Function Measure-66 (GMFM-66) Sitting Dimension, in patients with cerebral palsy. Most studies have shown beneficial effects on postural balance compared with conventional physical therapy. However, due to the limited number of articles and their low methodological quality, no solid conclusions can be drawn about the effectiveness of this therapy

Commercial mobile applications in the therapeutic approach to stroke: Review in main application repositories and scientific evidence

Fundamentos: El ictus es la principal causa de discapacidad física en la población adulta. La tecnología al servicio de la medicina aporta nuevas soluciones para la valoración, tratamiento y seguimiento de sujetos con afectaciones neurológicas. El objetivo del presente estudio fue realizar una revisión sobre el uso de aplicaciones móviles comerciales en el abordaje terapéutico de sujetos que han sufrido ictus, así como analizar si existe evidencia científica sobre el uso de dichas apps. Métodos: Se llevó a cabo una búsqueda de apps útiles para el abordaje terapéutico del ictus y de sus posibles secuelas clínicas, en los principales repositorios de aplicaciones: “Google Play” y “App Store”. Se analizó la posible evidencia científica de cada app obtenida, en las siguientes bases de datos: Web Of Science, Pubmed, ScienceDirect, Scopus y Google Scholar. Resultados: Se obtuvieron 45 apps que cumplían los criterios de selección. Éstas se subdividieron en diferentes categorías: herramientas de valoración (13), programa de ejercicio terapéutico (8) percepción de la lateralidad y esquema corporal (7), manejo de trastornos secundarios (7), movilidad, destreza y coordinación manual (5) y corrección postural y ergonomía (5). De las 45 apps obtenidas, solo 10 de ellas habían sido utilizadas en estudios incluidos en las bases de datos científicas consultadas. Conclusiones: Existe amplia variedad de apps móviles comerciales de gran utilidad y bajo coste, aplicables en la valoración y tratamiento de sujetos que han sufrido ictus, existiendo evidencia científica, aunque escasa, sobre la validez de dichas apps.Background: Stroke is the leading cause of physical disability in the adult population. Technology at the service of medicine provides new solutions for the assessment, treatment, and monitoring of subjects with neurological disorders. Therefore, the aim of this study was to review the use of commercial mobile applications in the therapeutic approach of subjects who have suffered a stroke, as well as to analyze if there is scientific evidence on their use. Methods: A search of specific apps for the the rapeutic approach to stroke, as well as its possible clinical after-effects, in the main applications repositories was made: “Google Play” and “App Store”. Besides, the possible scientific evidence for each app obtained was analyzed using the following databases: Web of Science, Pubmed, ScienceDirect, Scopus and Google Scholar. Results: A total of 45 apps were obtained meeting the criteria established in the study. These were subdivided into different categories: assessment tools (13), therapeutic exercise program (8) perception of laterality and body scheme (7), management of secondary disorders (7), mobility, dexterity and manual coordination (5) and postural correction and ergonomics (5). From the 45 apps obtained, only 10 of them had been used in scientific studies. Conclusions: There is a wide variety of commercial mobile applications of great utility and low cost, applicable in the assessment and treatment of subjects who have suffered a stroke, there is even scientific evidence, although limited, about the validity of such apps

SHARDS: A global view of the star formation activity at z~0.84 and z~1.23

In this paper, we present a comprehensive analysis of star-forming galaxies (SFGs) at intermediate redshifts (z~1). We combine the ultra-deep optical spectro-photometric data from the Survey for High-z Absorption Red and Dead Sources (SHARDS) with deep UV-to-FIR observations in the GOODS-N field. Exploiting two of the 25 SHARDS medium-band filters, F687W17 and F823W17, we select [OII] emission line galaxies at z~0.84 and z~1.23 and characterize their physical properties. Their rest-frame equivalent widths (EW$_{\mathrm{rf}}$([OII])), line fluxes, luminosities, star formation rates (SFRs) and dust attenuation properties are investigated. The evolution of the EW$_{\mathrm{rf}}$([OII]) closely follows the SFR density evolution of the universe, with a trend of EW$_{\mathrm{rf}}$([OII])$\propto$(1+z)$^3$ up to redshift z~1, followed by a possible flattening. The SF properties of the galaxies selected on the basis of their [OII] emission are compared with complementary samples of SFGs selected by their MIR and FIR emission, and also with a general mass-selected sample of galaxies at the same redshifts. We demonstrate observationally that the UVJ diagram (or, similarly, a cut in the specific SFR) is only partially able to distinguish the quiescent galaxies from the SFGs. The SFR-M$_*$ relation is investigated for the different samples, yelding a logarithmic slope ~1, in good agreement with previous results. The dust attenuations derived from different SFR indicators (UV(1600), UV(2800), [OII], IR) are compared and show clear trends with respect to both the stellar mass and total SFR, with more massive and highly star-forming galaxies being affected by stronger dust attenuation.Comment: Replaced to match the accepted version (24 pages, 1 table, 17 figures). Published in ApJ, 812, 155 (2015): http://stacks.iop.org/0004-637X/812/15

Doñana. Acta vertebrata. vol 24(1/2)

Alimentación de la lagartija colilarga Psammodromus algirus (L) (Sauria, Lacertidae), en el litoral de Huelva (SO EspañaLa alimentación de Myotis myotis Borkh, 1791 (Chiroptera, Vespertilionidae) en la cuenca del rio Guadix (sureste de España)Distribución y selección de hábitat de la garduña (Martes foina, Erxleben, 1777) en Vizcaya y Sierra Salvada (Burgos).Nuevo modelo de trampa para reducir el impacto de la pesca de cangrejos sobre los vertebrados en las marismas del GuadalquiviThe functions of song and the spatial pattern of song production in the rufous bush chat (Cercotrichas galactotes)Migración e invernada de las lavanderas cascadena Motacilla cinerea y blanca M. alba en la Penínula Ibérica e Islas BalearesAbundancia y reproducción de Glis glis (Linnaeus, 1766) (Rodentia, Gliridae) en el Pirineo occidental.Estatus de residencia, categorización trófica y abundancia de aves en el zoológico de La Plata, ArgentinaAvifauna reproductora y estructura del hábitat en la campiña y sierras Subbéticas de JaénDispersión de semillas de retama (Retama sphaerocarpa (L.) Boiss por el conejo (Oryctolagus cuniculus L.) en el centro de EspañaGuía para la identificación de restos óseos pertenecientes a algunos peces comunes en las aguas continentales de la Península Ibérica para el estudio de la dieta de depredadores ictiófagosDistribución y abundancia del corzo (Capreolus capreolus L. 1758) en la provincia de JaénAlimentación de las larvas de anuros en ambientes temporales del sistema del rio Paraná, Argentina.Mauremys leprosa como presa de Lutra lutraNota sobre la alimentación del lince ibérico en el Parque Natural de la Sierra de Andújar (Sierra Morena oriental)Presencia de Echinococcus granulosus (Cestoda) en un lobo ibérico (Canis lupusLa orientación de los nidos de paseriformes estepariosComparación de la dieta obtenida a partir de muestras estomacales y fecales del Tuco-tuco, Ctenomys mendocinus, en dos poblaciones de la precordillera de los Andes, ArgentinaEstructura genética y distribución de la variabilidad enzimática en poblaciones naturales de estornino negro (Sturnus unicolor)Estimación de la disponibilidad trófica para el quebrantahuesos (Gypaetus barbatus) en Cataluña (NE España) e implicaciones sobre su conservaciónPeer reviewe

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Game-Based Virtual Reality Interventions to Improve Upper Limb Motor Function and Quality of Life After Stroke: Systematic Review and Meta-analysis.

Stroke is the main cause of disability in adulthood. Recent advances in virtual reality (VR) technologies have led to its increased use in the rehabilitation of stroke patients. A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to determine the effectiveness of game-based reality on upper limb (UL) motor function and quality of life after stroke. In March 2018, a search of the following databases was performed: PubMed, PEDro, Web of Science, Scopus, The Cochrane Library, and Medline at EBSCO. The selection criteria were all RCTs published in English or Spanish during the past 10 years. The PEDro scale was used to evaluate the methodological quality of the studies. A total of 20 clinical trials were included in the systemic review, of which 15 contributed information to the meta-analysis. Favorable results were found for VR interventions on UL motor function (Fugl-Meyer Assessment for upper extremity, standardized mean difference [SMD] = 1.53, 95% CI [0.51-2.54]) and quality of life (functional independence measure, SMD = 0.77, 95% CI [0.05-1.49]). The results demonstrate the potential benefits of VR interventions on the recovery of UL motor function and on quality of life after stroke

Project Summary: TRUST-ROB, Towards Resilient UGV and UAV Manipulator Teams For Robotic Search and Rescue Tasks

The paper was presented at the Project Summary sessions.This Project Summary paper reviews the main contributions and lessons learned from the TRUST-ROB project: “Towards Resilient UGV and UAV Manipulator Teams for Robotic Search and Rescue Tasks”, which has been developed between 2019 and 2022 with funding from the Spanish Government (RTI2018-093421-B-I00).This TRUST-ROB project has been funded by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España RTI2018-093421-B-I00. The presentation of this Project Summary paper has been partially funded by Universidad de Málaga, Andalucía Tech