Report on 1:100 000 Scale Geological and Metallogenic Maps Sheet 3166-27 Ulapes, Province of La Rioja

Fil: Pieters, P. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.The 1:100 000 scale Ulapes (3166-27) sheet covers the northern part of the Sierra de Las Minas and the surrounding plain which are located in the southern part of the La Rioja Province (Figures 1, 2). The map area is bounded by latitudes 31°20’ S and 31°40’ S, and by longitudes 66°00’ W and 66°30’ W. The area falls in the central eastern part of the 1:250 000 scale Chepes (3166-III) sheet. The area is easily accessible from Córdoba by Ruta Nacional 38, Ruta Provincial 32 and Ruta Nacional 79, from La Rioja by Ruta Nacional 38 and Rutas Provinciales 27, 28 and 29, and from San Juan by Ruta Nacional 141 and Rutas Provinciale 29. The nearest regularly serviced airport is located at La Rioja. The nearest major centre of population, logistics and commerce is Chepes on Ruta Nacional 141 located between the Sierra de Chepes and Sierra de Las Minas (outside the map area). Ulapes and La Jarilla are small population centres in the area

Report on 1:100 000 Scale Geological and Metallogenic Maps Sheet 3166-15 Santa Rita de Catuna, Province of La Rioja

Fil: Pieters, P. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.The 1:100 000 scale Santa Rita de Catuna (3166-15) sheet covers the northeastern part of the Sierra de Chepes, the southeastern part of the Sierra de Los Llanos, and the adjacent plain; this area is located in the southern part of the La Rioja Province (Figures 1, 2). The map area is bounded by latitudes 30°40’ S and 31°00’ S, and by longitudes 66°00’ W and 66°30’ W. The area falls in the southeastern part of the 1:250 000 scale Chamical (3166-I) sheet. The area is easily accessible from Córdoba and La Rioja by Ruta Nacional 38 and Ruta Provincial 32, and from San Juan by Ruta Nacional 141 and Ruta Provincial 32. The nearest regularly serviced airport is located at La Rioja. The nearest major centre of population, logistics and commerce is Chepes on Ruta Nacional 141 located between the Sierra de Chepes and Sierra de Las Minas (outside the map area). Santa Rita de Catuna, Solca, Olpas and Los Aguirres are small population centres in the map area

Report on 1:100 000 Scale Geological and Metallogenic Maps Sheet 3166-14 Malanzán, Province of La Rioja

Fil: Pieters, P. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.Cubrimiento parcial de la hoja.The 1:100 000 scale Malanzán (3166-14) sheet covers the northwestern part of the Sierra de Chepes, the southwestern part of the Sierra de Los Llanos, and the adjacent plain; this area is located in the southern part of the La Rioja Province (Figures 1, 2). The map area is bounded by latitudes 30°40’ S and 31°00’ S, and by longitudes 67°00’ W and 66°30’ W. The area falls in the central south part of the 1:250 000 scale Chamical (3166-I) sheet. The area is easily accessible from Córdoba and La Rioja by Ruta Nacional 38 and Ruta Provincial 32, and from San Juan by Ruta Nacional 141 and Ruta Provincial 32. The nearest regularly serviced airport is located at La Rioja. The nearest major centre of population, logistics and commerce is Chepes on Ruta Nacional 141 located between the Sierra de Chepes and Sierra de Las Minas (outside the map area). Malanzán and El Portezuelo are small population centres in the map area

Report on 1:100 000 Scale Geological and Metallogenic Maps Sheet 3166-20 Ñoquebe, Province of La Rioja

Fil: Pieters, P. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.Cubrimiento parcial de la hoja.The 1:100 000 scale Ñoquebe (3166-20) sheet covers the southwestern part of the Sierra de Chepes and the adjacent plain; this area is located in the southern part of the La Rioja Province (Figures 1, 2). The map area is bounded by latitudes 31°00’ S and 31°20’ S, and by longitudes 67°00’ W and 66°30’ W. The area falls in the central north part of the 1:250 000 scale Chepes (3166-III) sheet. The area is easily accessible from Córdoba and La Rioja by Ruta Nacional 38 and Ruta Provincial 32, and from San Juan by Ruta Nacional 141 and Ruta Provincial 32. The nearest regularly serviced airport is located at La Rioja. The nearest major centre of population, logistics and commerce is Chepes on Ruta Nacional 141 located between the Sierra de Chepes and Sierra de Las Minas (outside the map area). Ñoquebe, San Antonio, Chepes Vieja, Villa Casana, Puerto La Aguada and La Calera are small population centres in the map area

Report on 1:100 000 Scale Geological and Metallogenic Maps Sheet 3163-19 Cosquín, Province of Córdoba

Fil: Stuart-Smith, Peter G. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.Cubrimiento parcial de la hoja.The Cosquin 1:100.000 Sheet area lies within the Córdoba Province, between 31o00’-31o20’S and 64o00’-64o30’W. The area is part of the Córdoba (3163-III)1:250 000 sheet area. The region includes the central northern part of the Sierra Chica, one of several north-trending mountain ranges which traverse the northern part of the Córdoba Province. The Sierra Chica is drained by the easterly flowing Ríos La Granja, Ascochinga, and Santa Sabina. Access to the region, from Córdoba city, is via El Manzano and Ruta Provincial 9 in the east. An unsealed road traverses the eastern flank of the Sierra Chica from El Manzano to La Cumbre (Jesús María sheet area)

Geoscientific Mapping of the Sierras Pampeanas, Argentine-Australian Cooperative Project

Proyecto de Cooperación Argentino-Australiano.Versión Preliminar (en inglés)Fil: Sims, John P. Australian Geological Survey Organisation; Australia.Fil: Skirrow, Roger G. Australian Geological Survey Organisation; Australia.The 3366-16 map area forms an east-west transect within San Luis Province; ~46km by ~40km between latitude 32°40’-33°00’ S and longitude 65°30’-66°00’ W. The area includes part of two 1:250 000 scale map sheets: San Francisco del Monte de Oro (3366-I), and Sierras de San Luis y Comechingones. The area is contained within the Sierras de San Luis and covers the minor population centre of Paso Grande, and is traversed by provincial routes 2, 2A, 10, 22, 24, 38, 40 and 41. The main drainage is via Río Conlara, Río de la Cañada Honda, and Río Rosario

Implementation and delivery of group consultations for young people with diabetes in socioeconomically deprived, ethnically diverse settings

BACKGROUND: Young people with diabetes experience poor clinical and psychosocial outcomes, and consider the health service ill-equipped in meeting their needs. Improvements, including alternative consulting approaches, are required to improve care quality and patient engagement. We examined how group-based, outpatient diabetes consultations might be delivered to support young people (16-25 years old) in socio-economically deprived, ethnically diverse settings. METHODS: This multi-method, comparative study recruited a total of 135 young people with diabetes across two implementation and two comparison sites (2017-2019). Informed by a 'researcher-in-residence' approach and complexity theory, we used a combination of methods: (a) 31 qualitative interviews with young people and staff and ethnographic observation in group and individual clinics, (b) quantitative analysis of sociodemographic, clinical, service use, and patient enablement data, and (c) micro-costing analysis. RESULTS: Implementation sites delivered 29 group consultations in total. Overall mean attendance per session was low, but a core group of young people attended repeatedly. They reported feeling better understood and supported, gaining new learning from peers and clinicians, and being better prepared to normalise diabetes self-care. Yet, there were also instances where peer comparison proved difficult to manage. Group consultations challenged deeply embedded ways of thinking about care provision and required staff to work flexibly to achieve local tailoring, sustain continuity, and safely manage complex interdependencies with other care processes. Set-up and delivery were time-consuming and required in-depth clinical and relational knowledge of patients. Facilitation by an experienced youth worker was instrumental. There was indication that economic value could derive from preventing at least one unscheduled consultation annually. CONCLUSIONS: Group consulting can provide added value when tailored to meet local needs rather than following standardised approaches. This study illustrates the importance of adaptive capability and self-organisation when integrating new models of care, with young people as active partners in shaping service provision. TRIAL REGISTRATION: ISRCTN reference 27989430

A comparison of machine learning methods for classification using simulation with multiple real data examples from mental health studies

Background: Recent literature on the comparison of machine learning methods has raised questions about the neutrality, unbiasedness and utility of many comparative studies. Reporting of results on favourable datasets and sampling error in the estimated performance measures based on single samples are thought to be the major sources of bias in such comparisons. Better performance in one or a few instances does not necessarily imply so on an average or on a population level and simulation studies may be a better alternative for objectively comparing the performances of machine learning algorithms. Methods: We compare the classification performance of a number of important and widely used machine learning algorithms, namely the Random Forests (RF), Support Vector Machines (SVM), Linear Discriminant Analysis (LDA) and k-Nearest Neighbour (kNN). Using massively parallel processing on high-performance supercomputers, we compare the generalisation errors at various combinations of levels of several factors: number of features, training sample size, biological variation, experimental variation, effect size, replication and correlation between features. Results: For smaller number of correlated features, number of features not exceeding approximately half the sample size, LDA was found to be the method of choice in terms of average generalisation errors as well as stability (precision) of error estimates. SVM (with RBF kernel) outperforms LDA as well as RF and kNN by a clear margin as the feature set gets larger provided the sample size is not too small (at least 20). The performance of kNN also improves as the number of features grows and outplays that of LDA and RF unless the data variability is too high and/or effect sizes are too small. RF was found to outperform only kNN in some instances where the data are more variable and have smaller effect sizes, in which cases it also provide more stable error estimates than kNN and LDA. Applications to a number of real datasets supported the findings from the simulation study

'Unable to have a proper conversation over the phone about my concerns': a multimethods evaluation of the impact of COVID-19 on routine childhood vaccination services in London, UK

Objectives Investigating the completion rate of 12-month vaccinations and parental perspectives on vaccine services during COVID-19. Study-design Service evaluation including parental questionnaire. Methods Uptake of 12-month vaccinations in three London general practices during three periods: pre-COVID (1/3/2018–28/2/2019, n = 826), during COVID (1/3/2019–28/2/2020, n = 775) and post-COVID first wave (1/8/2020–31/1/2021, n = 419). Questionnaire of parents whose children were registered at the practices (1/4/2019–1/22/2021, n = 1350). Results Comparing pre-COVID and both COVID cohorts, the completion rates of 12-month vaccines were lower. Haemophilus influenzae type B/meningococcal group C (Hib/MenC) vaccination uptake was 5.6% lower (89.0% vs 83.4%, P=<0.001), meningococcal group B (MenB) booster uptake was 4.4% lower (87.3% vs 82.9%, P = 0.006), pneumococcal conjugate vaccine (PCV) booster uptake was 6% lower (88.0% vs 82.0%, P < 0.001) and measles, mumps and rubella (MMR) vaccine uptake was 5.2% lower (89.1% vs 83.9%, P = 0.003). Black/Black-British ethnicity children had increased odds of missing their 12-month vaccinations compared to White ethnicity children (adjusted odds ratio 0.43 [95% confidence interval 0.24–0.79, P = 0.005; 0.36 [0.20–0.65], P < 0.001; 0.48 [0.27–0.87], P = 0.01; 0.40 [0.22–0.73], P = 0.002; for Hib/MenC, MenB booster, PCV booster and MMR. Comparing pre-COVID and COVID periods, vaccinations coded as not booked increased for MMR (10%), MenB (7%) and PCV booster (8%). Parents reported changes to vaccination services during COVID-19, including difficulties booking and attending appointments and lack of vaccination reminders. Conclusion A sustained decrease in 12-month childhood vaccination uptake disproportionally affected Black/Black British ethnicity infants during the first wave of the pandemic. Vaccination reminders and availability of healthcare professionals to discuss parental vaccine queries are vital to maintaining uptake