Características y propiedades de los ignimbritos de Bitlis y sus implicaciones ambientales

Bitlis rock is used as a construction material and comes from the lava emitted by volcanoes and their subsequent transformation into ignimbrites. This type of rocks has been characterized physically, chemi­cally, toxicologically and radioactively using different procedures including determination of the coefficient of thermal conductivity, gamma spectrometry, ultrasonic speed test, ICP masses and metal extraction. The results indicate that Bitlis rocks have an ACI greater than 1, although their content of radon is lower than other rocks of volcanic origin. Leaching of metals from these rocks indicates that Pb and Cd can provide an infiltration level in the field higher than the level permitted by TCLP and they have undesired toxicological risks. The percent­ages of extraction of other metals also point to this infiltration problem. Despite this, the material offers good qualities for usage as a building material such as its thermal coefficients.La roca Bitlis se utiliza como material de construcción y proviene de la lava emitida por los volcanes y su posterior transformación en ignimbritas. Este tipo de rocas se ha caracterizado física, química, toxicológica y radioactivamente utilizando diferentes procedimientos, incluida la determinación del coeficiente de conductividad térmica, espectrometría gamma, prueba de velocidad ultrasónica, ICP masas y extracción de metales. Los resultados indican que las rocas Bitlis tienen un ACI mayor que 1, aunque su contenido de radón es más bajo que el de otras rocas de origen volcánico. La lixiviación de metales de estas rocas indica que el Pb y el Cd pueden proporcionar un nivel de infiltración en el campo más alto que el nivel permitido por TCLP y tener riesgos toxicológicos no deseados. Los porcentajes de extracción de otros metales también apuntan a este problema de infiltración. A pesar de esto, el material ofrece buenas cualidades para su uso como material de construcción, como pueden ser sus coeficientes térmicos

Gilliam Otistik Bozukluk Derecelendirme Ölçeği-2 Türkçe Versiyonu’nun (GOBDÖ-2-TV) Geçerlik ve Güvenirliğinin Araştırılması: Türkiye Standardizasyon Çalışması

 This study aims at exploring the psychometric characteristics of the Turkish version of the Gilliam Autism Rating Scale-2 (TV-GARS-2) in order to standardize it into Turkish. Individuals diagnosed with autism, intellectual disability, hearing impairment and typically developing children were the participants of this standardization study (n=1191). After carrying out theTurkish translation procedure, the reliability and validity of TV-GARS-2 were examined by conducting a series of analyses such as construct validity, discriminant validity, item analysis,confirmatory factor analysis, internal consistency and test-retest reliability. Results yielded thatTV-GARS-2 is a reliable and valid assessment tool that can be used with individuals with autism in Turkey. Bu çalışmada Gilliam Otistik Bozukluk Derecelendirme Ölçeği-2 Türkçe Versiyonu’nun(GOBDÖ-2-TV) Türkçe standardizasyonu için GOBDÖ-2-TV’nin psikometrik özellikleri araştırılmıştır. Çalışmada 1191 otistik bozukluk (otizm) tanılı bireyden veri toplanırken,ayırt edici geçerlik için ayrıca zihinsel, işitme yetirsizliği olan ve yetersizliği olmayan/normalgelişim gösteren bireylerinden de veri toplanmıştır. Türkçe çeviri ve dil eşitliği çalışmalarındansonra, yapı geçerliğinin sınanması, ayırt edici geçerliğin sınanması, doğrulayıcı faktör analizi,iç tutarlılık ve test-tekrar test güvenirliği gibi bir seri analiz ile GOBDÖ-2-TV’nin geçerlik vegüvenirliği sınanmıştır. Bulgular, GOBDÖ-2-TV’nin Türkiye’de otistik bozukluk (otizm) gösterençocukların değerlendirme sürecinde kullanılabilecek yeterli geçerlik ve güvenirlik özelliklerine sahip olduğunu göstermiştir.  

Bridge-specific fragility analysis: when is it really necessary?

In seismic assessment of bridges the research focus has recently shifted on the derivation of bridge-specific fragility curves that account for the effect of different geometry, structural system, component and soil properties, on the seismic behaviour. In this context, a new, component-based methodology for the derivation of bridge-specific fragility curves has been recently proposed by the authors, with a view to overcoming the inherent difficulties in assessing all bridges of a road network and the drawbacks of existing methodologies, which use the same group of fragility curves for bridges within the same typological class. The main objective of this paper is to critically assess the necessity of bridge-specific fragility analysis, starting from the effect of structure-specific parameters on component capacity (limit state thresholds), seismic demand, and fragility curves. The aforementioned methodology is used to derive fragility curves for all bridges within an actual road network, with a view to investigating the consistency of adopting generic fragility curves for bridges that fall within the same class and quantifying the degree of over- or under-estimation of the probability of damage when generic bridge classes are considered. Moreover, fragility curves for all representative bridges of the analysed concrete bridge classes are presented to illustrate the differentiation in bridge fragility for varying structural systems, bridge geometry, total bridge length and maximum pier height. Based on the above, the relevance of bridge-specific fragility analysis is assessed, and pertinent conclusions are drawn

Correction to: Two years later: Is the SARS-CoV-2 pandemic still having an impact on emergency surgery? An international cross-sectional survey among WSES members

Background: The SARS-CoV-2 pandemic is still ongoing and a major challenge for health care services worldwide. In the first WSES COVID-19 emergency surgery survey, a strong negative impact on emergency surgery (ES) had been described already early in the pandemic situation. However, the knowledge is limited about current effects of the pandemic on patient flow through emergency rooms, daily routine and decision making in ES as well as their changes over time during the last two pandemic years. This second WSES COVID-19 emergency surgery survey investigates the impact of the SARS-CoV-2 pandemic on ES during the course of the pandemic. Methods: A web survey had been distributed to medical specialists in ES during a four-week period from January 2022, investigating the impact of the pandemic on patients and septic diseases both requiring ES, structural problems due to the pandemic and time-to-intervention in ES routine. Results: 367 collaborators from 59 countries responded to the survey. The majority indicated that the pandemic still significantly impacts on treatment and outcome of surgical emergency patients (83.1% and 78.5%, respectively). As reasons, the collaborators reported decreased case load in ES (44.7%), but patients presenting with more prolonged and severe diseases, especially concerning perforated appendicitis (62.1%) and diverticulitis (57.5%). Otherwise, approximately 50% of the participants still observe a delay in time-to-intervention in ES compared with the situation before the pandemic. Relevant causes leading to enlarged time-to-intervention in ES during the pandemic are persistent problems with in-hospital logistics, lacks in medical staff as well as operating room and intensive care capacities during the pandemic. This leads not only to the need for triage or transferring of ES patients to other hospitals, reported by 64.0% and 48.8% of the collaborators, respectively, but also to paradigm shifts in treatment modalities to non-operative approaches reported by 67.3% of the participants, especially in uncomplicated appendicitis, cholecystitis and multiple-recurrent diverticulitis. Conclusions: The SARS-CoV-2 pandemic still significantly impacts on care and outcome of patients in ES. Well-known problems with in-hospital logistics are not sufficiently resolved by now; however, medical staff shortages and reduced capacities have been dramatically aggravated over last two pandemic years

Consolidated Health Economic Evaluation Reporting Standards for Interventions That Use Artificial Intelligence (CHEERS-AI)

Objectives: Economic evaluations (EEs) are commonly used by decision makers to understand the value of health interventions. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. Healthcare systems will increasingly see new interventions that use artificial intelligence (AI) to perform their function. We developed Consolidated Health Economic Evaluation Reporting Standards for Interventions that use AI (CHEERS-AI) to ensure EEs of AI-based health interventions are reported in a transparent and reproducible manner. Methods: Potential CHEERS-AI reporting items were informed by 2 published systematic literature reviews of EEs and a contemporary update. A Delphi study was conducted using 3 survey rounds to elicit multidisciplinary expert views on 26 potential items, through a 9-point Likert rating scale and qualitative comments. An online consensus meeting was held to finalize outstanding reporting items. A digital health patient group reviewed the final checklist from a patient perspective. Results: A total of 58 participants responded to survey round 1, 42, and 31 of whom responded to rounds 2 and 3, respectively. Nine participants joined the consensus meeting. Ultimately, 38 reporting items were included in CHEERS-AI. They comprised the 28 original CHEERS 2022 items, plus 10 new AI-specific reporting items. Additionally, 8 of the original CHEERS 2022 items were elaborated on to ensure AI-specific nuance is reported. Conclusions: CHEERS-AI should be used when reporting an EE of an intervention that uses AI to perform its function. CHEERS-AI will help decision makers and reviewers to understand important AI-specific details of an intervention, and any implications for the EE methods used and cost-effectiveness conclusions

Dimensionality reduction for predicting CO conversion in water gas shift reaction over Pt-based catalysts using support vector regression models

Removal of CO in fuel cell applications is an important issue. In this study, models based on support vector regression (SVR) along with several dimensionality reduction methods are utilized for predicting the CO conversion in water–gas shift (WGS) reaction. SVR model parameters are determined with a two-stage grid search method and for dimensionality reduction, principal component analysis (PCA), backward feature elimination (BFE) and simulated annealing (SA) methods are used. PCA reduces the dimension by mapping the input data to a lower dimensional feature space. On the other hand, BFE and SA methods finds a subset of features leading to a higher prediction performance. Influence of these methods on prediction performance is investigated by testing the SVR models with and without reducing the dimension. It is observed that all of these methods reduce the prediction error when an appropriate threshold for final number of features is set. Moreover, identical feature subsets are output by BFE and SA methods. In conclusion, it has been shown that some of the features for CO conversion in WGS reaction are more important and using only these features may improve the prediction performance. © 2016 Hydrogen Energy Publications LL

Growth, mortality and spatial distribution of brushtooth lizardfish, Saurida undosquamis (Richardson, 1848), inhabiting the Karataş Coasts (Iskenderun Bay, Northeastern Mediterranean)

This study was carried out from September 2002 to April 2003 in Karataş Coasts (Iskenderun Bay). A total of 279 specimens were trawled by monthly sampling in 2002-2003 fishing season. The age of Saurida undosquamis was estimated by examining sagittal otoliths and it was found out that the age composition varied from I to VI age classes. The mean total length and total weight values were calculated as 14.22±3.42 cm and 20.73±15.42 g respectively and the calculated length-weight relationship was W=0.0083*L2.879. The von Bertalanffy growth parameters were L?: 38.05 cm, K: 0.124 year-1 and to: -1.680 year. The instantaneous rate of total mortality (Z) was 1.77, the natural mortality (M) was 0.35 and the fishing mortality (F) was estimated to be 1.42. The exploitation rate (E) was calculated as 0.80 using value of M and F. Therefore, the population of S. undosquamis from the coast of Karataş, Iskenderun Bay was exploited over the optimum level because of overfishing pressure

Benthic foraminiferal fauna of Gökçeada Island (Northern Aegean Sea) and its local variations

This study has been carried out around Gökçeada with the samples taken from 34 different points, depths of 0.50 - 68 m. 58 genera and 104 species have been determined. The faunal associations show differences between the east and west coast of the island. Especially to the east of the island, on the Ayd1nc1k Cape, there is an abundance of Peneroplis planatus (FIchtel and Moll) and Peneroplis pertusus (Forskal). Also, to the south-east of Gokceada, the typical foraminifera of the eastern Mediterranean Amphistegina lobifera LARSEN and SorItes orbiculus EHRENBERG have been observed. Besides, a foraminiferal assemblage rich in number and high in diversity has been identified in 4 stations to the east and 3 stations to the west of the island. During another study area between Gökçeada-Bozcaada-Çanakkale, the genus Peneroplis, Laevipeneroplis, Amphistegina and Sorites have not been found. For this reason, the east and southeast of Gökçeada and on the west fields in different sites there was life as a result of geothermal effect

Systematic distribution of recent benthic foraminifera from the thermal region of Çeşme-Ilica Bay (Izmir) [©Ceşma-Ilica Koyu (Izmir) termal bölgesi güncel bentik foraminiferlerinin sistematik dagilimi]

Benthic foraminiferal content of the sediment samples from the thermal region located at the llica Bay and surroundings was taxonomically investigated. A total of 40 calcareous foraminiferal species from the 12 families and 23 genera have been described. Some thermal springs of the llica Bay and surroundings with a temperature of 42°C-62°C, set up a various ecological environment. As a result of this event, some peneroplids which are not able to carry on their life under the Aegean Sea conditions wityh a temperature of 9°C -26°C and dissolved oxygen content of 4-10 ml/l appear. These peneroplid species of Coscinospira hemprichii Ehrenberg, Laevipeneroplis karreri (Wiesner), Peneroplis pertusus (Forskal) and Peneroplis planatus (Fichtel and Moll) were abundantly found together with the Sorites orbiculus Ehrenberg and other benthic foraminifera in the area under the thermal influence

Image Dataset for Tipburn Disorder Detection in Strawberry Leaves

The dataset contains images of strawberry leaves. There are 1431 images in the dataset. The dataset can be used for binary classification problems as there are leaves from two classes in the dataset:1 - healthy leaves2- leaves with calcium deficiencyTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV