Practices on rockburst prevention and control in headrace tunnels of Jinping II hydropower station

AbstractRockburst problems induced by high in-situ stresses were prominent during construction of the headrace tunnels of Jinping II hydropower station. The rockbursts occurred in various forms, and it is necessary to take pertinent measures for integrated prevention and control of rockbursts. In view of the rockburst characteristics during tunnel construction of Jinping II hydropower station, the engineering geological conditions were presented, and the features, mechanisms and forms of rockbursts observed during construction were analyzed in detail. A large number of scientific researches, experiments and applications were conducted. Multiple measures were adopted to prevent and control rockbursts, including the prediction and early warning measures, stress relief by blasting in advance, optimized blasting design and optimized tunnel support in the tunnel sections prone to strong rockbursts. The effectiveness of these prevention and control measures was evaluated. Experiences have been accumulated through a great number of helpful explorations and practices for rockburst prevention and control. A comprehensive rockburst prevention and control system has been gradually established

Assessing healthcare quality using routine data: evaluating the performance of the national tuberculosis programme in South Africa

ObjectiveTo assess the performance of healthcare facilities by means of indicators based on guidelines for clinical care of TB, which is likely a good measure of overall facility quality.MethodsWe assessed quality of care in all public health facilities in South Africa using graphical, correlation and locally weighted kernel regression analysis of routine TB test data.ResultsFacility performance falls short of national standards of care. Only 74% of patients with TB provided a second specimen for testing, 18% received follow‐up testing and 14% received drug resistance testing. Only resistance testing rates improved over time, tripling between 2004 and 2011. National awareness campaigns and changes in clinical guidelines had only a transient impact on testing rates. The poorest performing facilities remained at the bottom of the rankings over the period of study.ConclusionThe optimal policy strategy requires both broad‐based policies and targeted resources to poor performers. This approach to assessing facility quality of care can be adapted to other contexts and also provides a low‐cost method for evaluating the effectiveness of proposed interventions. Devising targeted policies based on routine data is a cost‐effective way to improve the quality of public health care provided.ObjectifEvaluer la performance des établissements de santé au moyen d’indicateurs basés sur des directives pour les soins cliniques de la tuberculose (TB), qui sont probablement une bonne mesure de la qualité globale des établissements.MéthodesNous avons évalué la qualité des soins dans tous les établissements de santé publique en Afrique du Sud à l’aide d’une analyse de régression graphique, de corrélation et localement pondérée des données de dépistage de routine de la TB.RésultatsLa performance des établissements ne respecte pas les normes nationales de soins. Seuls 74% des patients TB ont fourni un deuxième échantillon pour les tests, 18% ont reçu des tests de suivi et 14% ont reçu des tests de résistance aux médicaments. Seuls les taux de dépistage de la résistance se sont améliorés au cours du temps, en triplant entre 2004 et 2011. Les campagnes de sensibilisation nationales et les changements apportés aux directives cliniques n’ont eu qu’un impact transitoire sur les taux de dépistage. Les établissements avec la plus mauvaise performance sont restés au bas du classement au cours de la période étudiée.ConclusionLa stratégie politique optimale requiert à la fois des politiques générales et des ressources ciblées pour la mauvaise performance. Cette méthode d’évaluation de la qualité des soins peut être adaptée à d’autres contextes et procure également une méthode peu coûteuse pour évaluer l’efficacité des interventions proposées. L’élaboration de politiques ciblées basées sur des données de routine est un moyen rentable pour améliorer la qualité des soins de santé publique fournis.Mots‐clésqualité des soins, mesure de la qualité, prestation des soins de santé, politique de santé, tuberculose, résistance aux antibiotiques, Afrique du SudObjetivoEvaluar el desempeño de los centros sanitarios por medio de indicadores basados en guías para la atención clínica de la TB, lo cual podría ser una buena medida de la calidad general de las instalaciones.MétodosHemos evaluado la calidad de la atención en centros sanitarios públicos de Sudáfrica mediante análisis gráficos, correlaciones y regresiones ponderadas de Kernel utilizando datos rutinarios de TB.ResultadosEl desempeño de los centros está por debajo de los estándares nacionales de cuidado. Solo un 74% de los pacientes con TB proveyeron un segundo espécimen para pruebas, un 18% recibió pruebas de seguimiento, y un 14% pruebas de resistencia a medicamentos. Solo mejoraron a lo largo del tiempo las tasas de las pruebas de resistencia, triplicándose entre el 2004‐2011. Las campañas de concienciación nacionales y los cambios en las guías clínicas solo tenían un impacto transitorio sobre las tasas de las pruebas. Los centros con los peores resultados continuaron en lo más bajo de la clasificación a lo largo del periodo de estudio.ConclusiónLa estrategia óptima requiere tanto el uso de políticas de base amplia como de recursos dirigidos a quienes tienen un peor desempeño. Esta aproximación para evaluar la calidad de la atención de los centros puede adaptarse a otros contextos, y también provee un método de bajo coste para evaluar la efectividad de las intervenciones propuestas. La elaboración de políticas orientadas, basadas en datos rutinarios, es una forma coste‐efectiva de mejorar la calidad de la atención sanitaria pública.Palabras clavecalidad de la atención, calidad de medidas, entrega de atención sanitaria, política sanitaria, tuberculosis, resistencia a antibióticos, SudáfricaPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135966/1/tmi12819.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/135966/2/tmi12819_am.pd

Algorithmic and sensor-based research on Chinese children’s and adolescents’ screen use behavior and light environment

BackgroundMyopia poses a global health concern and is influenced by both genetic and environmental factors. The incidence of myopia tends to increase during infectious outbreaks, such as the COVID-19 pandemic. This study examined the screen-time behaviors among Chinese children and adolescents and investigated the efficacy of artificial intelligence (AI)-based alerts in modifying screen-time practices.MethodsA cross-sectional analysis was performed using data from 6,716 children and adolescents with AI-enhanced tablets that monitored and recorded their behavior and environmental light during screen time.ResultsThe median daily screen time of all participants was 58.82 min. Among all age groups, elementary-school students had the longest median daily screen time, which was 87.25 min and exceeded 4 h per week. Children younger than 2 years engaged with tablets for a median of 41.84 min per day. Learning accounted for 54.88% of participants’ screen time, and 51.03% (3,390/6,643) of the participants used tablets for 1 h at an average distance <50 cm. The distance and posture alarms were triggered 807,355 and 509,199 times, respectively. In the study, 70.65% of the participants used the tablet under an illuminance of <300 lux during the day and 61.11% under an illuminance of <100 lux at night. The ambient light of 85.19% of the participants exceeded 4,000 K color temperature during night. Most incorrect viewing habits (65.49% in viewing distance; 86.48% in viewing posture) were rectified swiftly following AI notifications (all p < 0.05).ConclusionYoung children are increasingly using digital screens, with school-age children and adolescents showing longer screen time than preschoolers. The study highlighted inadequate lighting conditions during screen use. AI alerts proved effective in prompting users to correct their screen-related behavior promptly