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To evaluate the demographic, etiologic, treatment, and follow-up differences in stones according to their location within the kidney. This retrospective study comprised 337 patients with urolithiasis between 2015 and 2019. Patients were classified into 2 groups according to stone location as lower pole stones (LPS) and upper-middle pole stones (UMPS). The patient's data were recorded at 3-month intervals for one year. One hundred and eighty-three (54.3%) female and 154 (45.7%) men were included in the study. One hundred and twenty-nine (38.3%) of the stones were in the LPS and 208 (61.7%) in the UMPS. UMPS was more common in patients aged > 12 months (p < 0.01). At least one metabolic risk factor was present in 93 (72.1%) patients with LPS and 164 (78.4%) with UMPS. The most common urinary metabolic risk factors were hyperoxaluria (31.8%) in patients with LPS and hypocitraturia (34.1%) in patients with UMPS. ROC analysis results showed that cut-off values of 5.5 mm for LPS and 6.1 mm for UMPS did not provide improve with medical treatment. At the 6- and 12-month follow-ups, the improvement rates were higher in the UMPS group than in the LPS group (p < 0.05). During the follow-up, recurrence was detected in 43 patients: 29% of patients with LPS and 5.8% of patients with UMPS (p < 0.01). Patients with small stones can be followed up. Surgical treatment may be considered for small stones in the LPS. In addition, the risk of recurrence is higher in patients with LPS, and close follow-up is required., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Developing land suitability models for strategically critical agricultural products to expand sustainable agricultural policies and sensitive agriculture management has become a significant trend. This study aims to improve a unique land suitability model for hazelnut cultivation by applying the criteria set (7 main criteria, 35 sub-criteria) including qualitative and quantitative reasons, integrated fuzzy analytic hierarchy process, inverse distance weighting, multi-criteria decision analysis, geographic information system, and weighted linear combination approaches. The model developed in the present study was applied and tested in Ünye District of Ordu Province, where hazelnut production in the Eastern Black Sea region of Turkey is an important economic activity. While 71.17% of the study area is classified as very highly suitable, highly suitable, and moderately suitable, 28.83% of the study area has marginally suitable and unsuitable properties for hazelnut cultivation. Generally, it was determined that the coastal parts of the study area were the most suitable areas for hazelnut growing. The hazelnut land suitability model's two main criteria impacting the final score values are climatic and topographic conditions, respectively. Heavy metal pollution and physical, chemical, and fertility conditions related to soil properties followed these, respectively. The first ten sub-criteria with the highest weight value were determined as elevation, annual average temperature, annual average precipitation, aspect, annual average relative humidity, nickel (pollution), slope, annual average maximum temperature, lead (pollution), and soil depth, respectively. Existing hazelnut cultivation areas were used to test the model. Of the existing cultivation areas, 75.59% coincided with the very highly suitable, highly suitable, and moderately suitable classes presented in this study, while 17.15% were in marginally suitable and 7.26% in unsuitable classes. The study results reveal that the hazelnut land suitability model developed is suitable in mild climate conditions. Using this model as a general transition model will be beneficial to test it in areas containing similar climatic conditions and various soil properties. This study will create a rational background in ensuring the sustainable food production system and security, agricultural land use planning, strategic planning and management of the hazelnut plant, increasing agricultural productivity and income, and the ecosystem., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: To date, many genes have been associated with congenital hypothyroidism (CH). Our aim was to identify the mutational spectrum of 23 causative genes in Turkish patients with permanent CH, including thyroid dysgenesis (TD) and dyshormonogenesis (TDH) cases., Methods: A total of 134 patients with permanent CH (130 primary, 4 central) were included. To identify the genetic etiology, we screened 23 candidate genes associated with CH by next-generation sequencing. For confirmation and to detect the status of the specific familial variant in relatives, Sanger sequencing was also performed., Results: Possible pathogenic variants were found in 5.2% of patients with TD and in 64.0% of the patients with normal-sized thyroid or goiter. In all patients, variants were most frequently found in TSHR, followed by TPO and TG. The same homozygous TSHB variant (c.162 + 5G > A) was identified in four patients with central CH. In addition, we detected novel variants in the TSHR, TG, SLC26A7, FOXE1, and DUOX2., Conclusion: Genetic causes were determined in the majority of CH patients with TDH, however, despite advances in genetics, we were unable to identify the genetic etiology of most CH patients with TD, suggesting the effect of unknown genes or environmental factors. The previous studies and our findings suggest that TSHR and TPO mutations is the main genetic defect of CH in the Turkish population., (© 2021. Italian Society of Endocrinology (SIE).)

There are many criteria to be considered in environmental, social, and economic issues for the landfill site selection (LSS). Multi-criteria decision analysis (MCDA) methods are often used to solve complex decision-making problems such as LSS. However, decision-makers (DMs) may hesitate during the evaluation of the landfill sites with possible incorrect evaluation concerns. Therefore, the inclusion of the hesitant fuzzy linguistic term sets (HFLTS), which considers the hesitations in the preferences of DMs, is suitable for the solution of the problem. On the other hand, geographic information systems (GIS) is an important decision support tool that can analyze different types of spatial data. The aim of this study is to evaluate landfill sites. To do so, the applied approach includes the processes of identifying appropriate alternative sites for landfills by combining HFLTS-based MCDA method and GIS and evaluation of alternative sites with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The applicability of the proposed approach is tested on Samsun city, Turkey. As a result, scenario analysis, which is dominated by environmental criteria, provides better results dominated by social-economic criteria. Consequently, 12 alternative locations are selected and evaluated for the LSS. Atakum and Canik districts of Samsun city are determined as very suitable locations for landfill sites.

One of the cheapest and proper methods for the ultimate disposal of Municipal Solid Waste (MSW) is landfilling. However, determining the location of landfill sites is a difficult and complex task due to depending on social, environmental, technical, economic, and legal factors. To solve the aforementioned challenges related to the landfill site suitability analysis, the combinations of Geographic Information System (GIS) and Multi-Criteria Decision-Making (MCDM) have been studied by academia and applied by experts over the years. This notice is apparent by the large number of academic papers which have been announced in the near future. To provide a framework of the existing literature, and to guide colleagues, a state-of-the-art of recent papers is crucial. The goal of this study is to review all scientific papers in GIS-based MCDM modeling for landfill site suitability analysis in academic journals. A total of 106 studies published between 2005 and 2019 are recorded and surveyed. The studies are then investigated and classified by a generated taxonomy including following categories: GIS software, application area, uncertainty, MCDM techniques, cell sizes in GIS, and criteria. Based on the review conducted, it is observed that while Analytical Hierarchy Process (AHP) and Weighted Linear Combination (WLC) are the most widely used MCDM methods for weighting the criteria and ranking the alternatives, respectively. On the other hand, while environmental dimension is the most commonly preferred main criteria, surface water comes first in the sub-criteria pool. Criteria analysis shows that surface and ground water, geology, land use, distance to fault zone, distance to urban areas, and distance to road and slope are the most commonly used criteria groups among others. These classifications and observations are helpful for identifying research gaps in the current literature and provide insights for future modeling and research efforts in the field.

This is an experimental research aiming at identifying the effect of terminal patient care training on the nurses' attitudes toward death. The sample of this study (n = 41) involves 20 nurses in the training group and 21 nurses in the control group. Nurses were offered terminal patient care training and their attitudes toward death were assessed before and after the intervention. The Death Attitude Profile-Revised (DAP-R) subscale mean scores for fear of death (3.9-4.6, p < .05) and approach acceptance (2.9-3.3, p < .05) were found to significantly increase at the end of training in the training group while mean scores in the control group displayed no significant change (p > .05) in any of the five DAP-R subscales. In accordance with these findings, this study suggests that terminal patient care training should be implemented in the nursing curriculum more extensively and should be frequently repeated as part of the nurses' in-service education.

Background: Sleep deprivation (SD) is known to be associated with adverse cardiovascular events. Strain and strain rate measure the local deformation of the myocardium and have been used to evaluate atrial phasic function in various disease states. The aim of the study was to investigate whether strain rate imaging enables the identification of left atrial dysfunction in otherwise healthy young adults with acute SD which has not been studied previously., Methods: Adequate echocardiographic images of 27 healthy volunteers were obtained both after a night with regular sleep and after a night with SD. Tissue Doppler-derived strain and strain rate were measured from the apical four- and two-chamber views of the left atrium, and global values were calculated as the mean of all segments. Measurements included peak systolic strain, systolic strain rate (S-Sr), early diastolic (E-Sr) and late diastolic (A-Sr) strain rate. Phasic left atrial (LA) volumes and fractions were also calculated., Results: There was no significant difference in the traditional parameters of atrial function and LA volumes. Subjects had similar S-Sr, A-Sr and global atrial strain values after the night of sleep debt when compared after regular sleep, whereas they had significantly reduced E-Sr values (mean (SD) 3.2 (0.7) s(-1) vs 3.7 (0.6) s(-1), p < 0.001). Moreover, global E-Sr showed a significant correlation with sleep time (r = 0.554, p < 0.001)., Conclusion: Acute SD in healthy adults is associated with a reduction in LA early diastolic strain rate in the absence of geometric alterations or functional impairment of the left atrium, raising the possibility that chronic SD may more profoundly affect LA function and thereby promote the occurrence of atrial fibrillation.