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    The Effectiveness of Cool Versus Not Cool Procedure in Teaching Chemical Safety Skills to Children With Autism Spectrum Disorder

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    This study examined the effectiveness of the Cool Versus Not Cool (CNC) procedure in teaching chemical safety skills to three preschool children with autism spectrum disorder (ASD) in terms of acquisition, maintenance, and generalization. One 6-year-old girl and two boys with ASD participated in the study that employed a multiple-probe design across participants. The findings demonstrated that the children with ASD acquired the target safety skills, improved their skills following the study, maintained the skills after one and 4 weeks after the intervention, and generalized them across different individuals. The social validity data, collected through subjective evaluation and a social comparison method, showed that the teachers of the children with ASD had positive opinions regarding the target skills, the CNC procedure, and the study outcomes. Additionally, the children with ASD outperformed their peers after the intervention. Furthermore, the findings indicated that the ecological validity of the CNC was high, particularly in terms of typical settings. Directions and implications for future research are discussed

    Landslides triggered by the 6 February 2023 Kahramanmaraşearthquakes (Türkiye)

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    On 6 February 2023, a sequence of devastating earthquakes hit the south and southeastern parts of T & uuml;rkiye. Numerous secondary hazards were triggered in the region, including thousands of landslides. This study investigated the landslides triggered by the 6 February 2023 Kahramanmara & scedil; earthquakes. On 7 February, the General Directorate of Mapping initiated several aerial photogrammetric flights, which continued for several days. Although adverse meteorological conditions affected the image quality, valuable data with nominal resolution of 25 cm could be produced over an area of 108,627 km2. By comparing postearthquake aerial orthophotos with preearthquake imagery stored in archives, we identified a total of 2596 landslides presumably triggered by the events and analyzed their characteristics. This paper presents the methodology of the inventory preparation, characteristics of the landslides, and potential use cases of the inventory. The produced coseismic landslide inventory is also shared in the form of supplemental data

    Development and implementation of the international AIDA network spondylarthritis registry

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    During the last decade, spondyloarthritis (SpA) has increasingly been considered a disease at the crossroads between autoimmunity and autoinflammation. Some patients may even present with autoinflammatory-related manifestations, including fever, hidradenitis suppurativa, other neutrophilic dermatoses, and an unusually high increase in inflammatory markers. Therefore, a subgroup of SpA patients may be identified, and specific details about this cluster need to be investigated. In this regard, the AutoInflammatory Disease Alliance (AIDA) Network has developed a registry primarily aimed at better understanding the autoinflammatory aspects of SpA. The development of this Registry favors the systematic assessment of SpA through the lens of autoinflammation, giving a voice to patients with atypical presentations, and favoring a personalized treatment approach. By supporting research and facilitating the transfer of new evidence to clinical practice, this specific registry has the potential to significantly advance the field of rheumatology and enhance the lives of patients suffering from this complex and multifaceted disease

    Approximate modeling of cross-beam multi-axis force/moment sensor through Gaussian process and partial dependence plots for design optimization including stress topology

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    This study introduces a novel approximate model (AM) aimed at optimizing the design of cross-beam multi-axis force/moment sensor. It considers the characteristics of flexure hinges in elastic beams and the flexibility of beam joints, resulting in improved accuracy and broader solutions for equivalent stresses and natural frequencies compared to existing approximate models in the literature. Model validation is carried out by comparing the results with the finite element model in different cases that each case contains 1000 simulations. Validation cases combine different sensor dimensions with different forces, moments, material properties, and center hub shapes. Each validation case typically requires approximately 19 h using the finite element method (FEM) and just 1 sec with the AM. Furthermore, by using the Gaussian process and partial dependence plots, the sensitivity of the model accuracy on normalized sensor dimensions is investigated. The evaluation of model linearity and dimension normalization allows for the utilization of the novel approximate model beyond the provided dimension range, while still adhering to the normalized parameters. The implementation of AM in the design optimization problem demonstrates its suitability and advantages compared to existing literature and FEM results. When compared to finite element solutions within the sensor workspace, the approximate model exhibits a stiffness error of 5%, a strain error of 2%, a fundamental frequency error of 3%, and an equivalent stress error of 8%, while maintaining correlations of axial sensor properties above 98%

    Potential for carbon sequestration in modern cementitious materials

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    Carbon sequestration in modern cementitious materials has emerged as a critical study domain in the attempt to reduce global carbon emissions. This review analyzes the capacity of diverse and innovative concrete types, such as engineered cementitious composites (ECC), ultra-high-performance concrete (UHPC), limestone calcined clay cement (LC3)-based concrete, geopolymer concrete, 3D-printed concrete (3DCP), and recycled aggregate concrete, to sequester and store carbon during the curing stage. With a focused effort on understanding carbon sequestration during curing, this study offers a comprehensive overview and examines the challenges associated with optimizing curing processes, highlighting their impact on the mechanical performance and durability of carbon-sequestered matrices. The effects of different curing methods and materials are examined concerning their influence on concrete performance and the optimization for carbon storage. The study emphasizes perpetual issues and outlines critical research gaps that must be addressed to enhance the efficacy of carbon sequestration in modern concrete systems. Recommendations for future research areas are offered to facilitate the advancement of more sustainable and carbon-efficient cementitious materials

    A New Instrument to Define Parental Fear Regarding Feeding Their Children: A Reliability and Validity Study

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    This study aimed to develop the 'Fear of Feeding My Child- A Parental Report (FF-PR)', which measures the parental fear of feeding their children, and to determine its reliability and validity. The study consists of the developmental phase and reported the content validity, internal consistency, test-retest reliability, construct, criterion, and discriminant validity. The study included two groups; 'Group I (N = 90)' who had a neurological disorder and their parents, and 'Group II (N = 60)' who were typically developing children without any feeding and swallowing problems and their parents. Limited literature review, clinical experience, and parental interviews have been used in creating the item pool. A panel of 7 experts assessed the content validity in two Delphi rounds. Cronbach's alpha measured the internal consistency of each item. The test-retest reliability was determined using the FF-PR scores given by the parents in Group I one week apart. Confirmatory factor analysis was used to measure the construct validity. The Nordic Orofacial Screening Test (NOT-S), Dysphagia Disorder Survey (DDS), and the Turkish version of the Feeding-Swallowing Impact Survey (T-FS-IS) were used for the criterion validity of the FF-PR. The discriminant validity of the FF-PR was determined by comparing the FF-PR scores of the groups and using the receiver-operating characteristic (ROC) curve. The content validity index was 0.92. The Cronbach's alpha was found to be high (test: 0.966, retest: 0.969). The FF-PR had an excellent chi-square fit (chi(2)/df = 123.075/127 p = 0.582) and according to the fit indices; the FF-PR was found to have a good fit. There was a low-moderate correlation between FF-PR and NOT-S (r = 0.335 - 0.462, p < 0.001) and DDS (r = 0.461 - 0.535, p < 0.001) and a moderate-high correlation between FF-PR and T-FS-IS (r = 0.501 - 0.807, p < 0.001). The FF-PR total and subscale scores were higher in Group I than in Group II. In conclusion, the FF-PR scale is a valid and reliable tool for measuring parental fear about feeding their child

    Preconcentration of bismuth using nickel hydroxide nanoflower from water samples and determination by FAAS

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    In this study, a preconcentration strategy based on Ni(OH)(2) nanoflowers (NFs) was developed for the extraction/separation of bismuth ions from environmental water samples before the determination by flame atomic absorption spectrometry (FAAS). The homogeneous coprecipitation method was employed for the synthesis of the flower-shaped Ni(OH)(2) and used as an adsorbent for the preconcentration of bismuth. The extraction variables were determined by a univariate optimization strategy to obtain maximum extraction performance. The optimal parameters of the method were as follows: 15 min mechanical shaking at 120 rpm, pH 6.0 buffer solution (1.0 mL), 20 mg of sorbent, and 250 mu L of 6.0 M nitric acid for the elution. Under the optimized instrumental and extraction conditions, LOD (limit of detection), LOQ (limit of quantitation), and linear dynamic range were determined as 2.8 mu g/L, 9.4 mu g/L, and 0.010-0.30 mg/L, respectively. The enhancement factor of the sorbent-based method was calculated as 139.1-folds by comparing the slopes of calibration plots obtained from FAAS and the preconcentration method. To assess the feasibility and reliability of the developed method, tap water and spring water samples were analyzed under optimized conditions. The satisfactory %recoveries were obtained close to 100% using the direct comparison method. The obtained results show that the presented method is a promising candidate for efficient extraction and trace determination of bismuth in several sample mediums

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