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This study aimed to analyze the factors affecting the size of non-governmental organizations (NGOs) from a multinational perspective. Empirical analyses were conducted through econometric modeling, and the data of the 17 countries from 2003 to 2019 were used. The data was obtained from the World Bank and OECD database. We used advanced panel data estimation techniques (CUP-FM and CUP-BC) to obtain long-run coefficients. GDP per capita, general government final consumption expenditure, adult education at tertiary level, and Gini index growth declined grants by private agencies and NGOs’ contribution to GDP (GinGDP) initially but after a threshold level, GinGDP increased with growth at later stages of these variables. Urban population growth, employment, and foreign population have reducing effect on the size of NGOs. The size of NGOs has bidirectional causality relationship between GDP per capita, adult population at tertiary education level, employment to population ratio, and Gini index; and unidirectional causality between urban population growth, general government final consumption expenditure, and foreign population.

The objective of this study is to determine the ways in-service teachers in Turkiye make use of open educational resources and their opinions on using them. For this purpose, the explanatory sequential design has been employed. 588 teachers have participated in the quantitative part of the study; and ten have participated in the qualitative part on a voluntary basis. Data collection instruments have been (a) a personal information form developed by the researchers comprised of 16 questions and (b) a semi-structured interview form with 3 questions. The personal information form has been administered online to participants via social media. Whereas the interviews have been conducted using Zoom teleconferencing software. According to the findings, more than half of the teachers are knowledgeable on the matter of open educational resources and information resources consist of social media. It has been determined that female teachers make greater use of open educational resources than males. It has been established that the most significant affordance of open educational resources is the way it saves time and space for teachers, whereas lack of time and knowledge are the primary obstacles against using open educational resources. Additionally, the opinions of teachers show a demand from their employing organizations towards activities for raising awareness towards the matter of open educational resources and it has been shown that they wish to be encouraged on this matter. It has also been expressed that they expect quantitative and qualitative improvement of the resources provided by the Ministry of National Education, as well as support and cooperation on the use of open educational resources.

This study investigated the role of administrative support in the correlation between teachers' perceptions of organizational support and their levels of leadership. This study adopts a relational screening model. The study population consisted of teachers in elementary, middle, and high schools. The sample consisted of 304 teachers selected through convenience sampling. Data were collected using the "Organizational Support Scale," "Administrative Support Scale" and the "Teacher Leadership Scale." The findings indicate significant positive relationships between teachers' perceptions of organizational support, perceptions of administrative support, and their levels of leadership. When examining whether administrative support mediated the impact of organizational support on teacher leadership, significant effects were observed on the paths connecting organizational support, administrative support, and teacher leadership. Specifically, the paths from organizational support to teacher leadership through administrative support were significant, whereas the direct pathway from organizational support to teacher leadership was not, suggesting that administrative support fully mediated this model. Considering these research findings and the existing literature, it is advisable to structure organizational support and administrative practices that foster teacher leadership in both in-school and out-of-school settings by legal regulations.

In this study, the orientation of the first-grade primary school students to school was ensured by creative drama activities. Activities that lasted 21 hours were applied to ensure that the students adapted to the school, their friends, their teachers, school staff, and places in the school. Parents, classroom teacher, 19 students and two prospective teachers as observers participated in this study. Quantitative data were collected before and after the drama workshop by the "Objectives Attainment Evaluation Form" and this data were compared with the non-parametric tests. Qualitative data were obtained using written and individual interviews. This study contributed positively to students' communication and cooperation, recognizing the school and the class and realizing the school and classroom rules. The findings showed that school orientation studies improved social skills, such as empathy by increasing interaction between the school, the parents, and the students. The families participating in these activities stated that they understood their children better, felt like children, and they implied they remembered their childhood years. The current study displayed that creative drama activities significantly facilitated the orientation of the students to their schools.

In many fields, AI chatbots continue to be popular with new tools and attract the attention of universities, K12 schools, educational organizations, and researchers. The aim of this research is to review the research on AI chatbots by restricting it to the category of education and to examine this research from a methodological point of view. Therefore, we performed a systematic literature review with a sample of 37 SSCI articles published in the educational context. Within the scope of the selected studies, the advantages and disadvantages of AI chatbots in education for students and educators, as well as the types of chatbots used, year, keywords, and method were analyzed. According to the research results, increased motivation to learn and language skill development are advantages for students, while cost-effectiveness and reduced workload are advantages for educators. Limited interaction, misleading answers for learners, originality, and plagiarism are the most common disadvantages for educators. The study also includes research results and recommendations related to the methodological review.

Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a classification problem (successful or unsuccessful), predict students' academic success, and identify those at risk. The primary objective was to predict the academic success status with 26,708 students enrolled in Istanbul University open and distance education programs between 2011 and 2017. Predictions were based demographic data and success grades in Turkish, Atatürk's Principles and History of Revolution, English, and Disaster Culture courses. The study utilized classification models from supervised learning algorithms and was conducted using the SPSS Modeler 18 program. Initially, the data was divided into 70% training and 30% test data. Then, models were constructed by using Random Forest, Tree-AS, C&RT, C5.0, CHAID, QUEST, Naive Bayes, Logistic Regression, NeuralNet, and SVM algorithms. Model performances were compared according to accuracy, sensitivity, specificity, F1 score, positive predictive value, negative predictive value, and Matthews Correlation Coefficient criteria. The C&RT model demonstrated the best performance, achieving the highest specificity value of 0.915.

Converging global trends (digitization, globalization, datafication) have influenced all aspects of children's literacies, including children's picturebooks. The recent turn towards embodied, affective and sensory literacies, stimulated our interest in multisensory picturebooks that engage all children's senses, including the sense of smell (olfaction). Olfactory children's picturebooks demand new forms of literary conversations, which capitalise on unique properties of odours and integrate these with stories. Drawing on a systematic search of children's picturebooks about, and with, smell, in paper-based and digital formats, we identified three principal ways in which olfaction is currently embedded in children's picturebooks: (1) as an add-on to depiction of objects (including foods, plants) and places; (2) as a device to introduce humour into a story; and (3) as an engagement tool for children's active participation in the story. We mobilise Sipe's (2008) concept of seven constituting elements in children's picturebooks to describe how current olfactory picturebooks apply the elements in their design and make recommendations for future development of children's olfactory picturebooks. Reflecting on the generative potential of literary theories and olfactory power to stimulate children's non-linguistic embodied interactions with picturebooks, we propose some extensions to the current olfactory picturebook landscape.

INTRODUCTION: Recent technological advances have increased the risk that de-identified brain images could be re-identified from face imagery. The Alzheimers Disease Neuroimaging Initiative (ADNI) is a leading source of publicly available de-identified brain imaging, who quickly acted to protect participants privacy. METHODS: An independent expert committee evaluated 11 face-deidentification (de-facing) methods and selected four for formal testing. RESULTS: Effects of de-facing on brain measurements were comparable across methods and sufficiently small to recommend de-facing in ADNI. The committee ultimately recommended mri_reface for advantages in reliability, and for some practical considerations. ADNI leadership approved the committees recommendation, beginning in ADNI4. DISCUSSION: ADNI4 de-faces all applicable brain images before subsequent pre-processing, analyses, and public release. Trained analysts inspect de-faced images to confirm complete face removal and complete non-modification of brain. This paper details the history of the algorithm selection process and extensive validation, then describes the production workflows for de-facing in ADNI. HIGHLIGHTS: ADNI is implementing de-facing of MRI and PET beginning in ADNI4. De-facing alters face imagery in brain images to help protect privacy. Four algorithms were extensively compared for ADNI and mri_reface was chosen. Validation confirms mri_reface is robust and effective for ADNI sequences. Validation confirms mri_reface negligibly affects ADNI brain measurements.

The 3-hydroxypropionate/4-hydroxybutyrate (3HP/4HB) cycle from ammonia-oxidizing Thaumarchaeota is currently considered the most energy-efficient aerobic carbon fixation pathway. The Nitrosopumilus maritimus 4-hydroxybutyryl-CoA synthetase (ADP-forming; Nmar_0206) represents one of several enzymes from this cycle that exhibit increased efficiency over crenarchaeal counterparts. This enzyme reduces energy requirements on the cell, reflecting thaumarchaeal success in adapting to low-nutrient environments. Here we show the structure of Nmar_0206 from Nitrosopumilus maritimus SCM1, which reveals a highly conserved interdomain linker loop between the CoA-binding and ATP-grasp domains. Phylogenetic analysis suggests the widespread prevalence of this loop and highlights both its underrepresentation within the PDB and structural importance within the (ATP-forming) acyl-CoA synthetase (ACD) superfamily. This linker is shown to have a possible influence on conserved interface interactions between domains, thereby influencing homodimer stability. These results provide a structural basis for the energy efficiency of this key enzyme in the modified 3HP/4HB cycle of Thaumarchaeota.

Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging. Large, diverse population studies enable identifying comprehensive and representative brain change patterns resulting from distinct but overlapping pathological and biological factors, revealing intersections and heterogeneity in affected brain regions and clinical phenotypes. Herein, we leverage a state-of-the-art deep-representation learning method, Surreal-GAN, and present methodological advances and extensive experimental results elucidating brain aging heterogeneity in a cohort of 49,482 individuals from 11 studies. Five dominant patterns of brain atrophy were identified and quantified for each individual by respective measures, R-indices. Their associations with biomedical, lifestyle and genetic factors provide insights into the etiology of observed variances, suggesting their potential as brain endophenotypes for genetic and lifestyle risks. Furthermore, baseline R-indices predict disease progression and mortality, capturing early changes as supplementary prognostic markers. These R-indices establish a dimensional approach to measuring aging trajectories and related brain changes. They hold promise for precise diagnostics, especially at preclinical stages, facilitating personalized patient management and targeted clinical trial recruitment based on specific brain endophenotypic expression and prognosis.

The magnetic resonance imaging (MRI) Core has been operating since Alzheimer's Disease Neuroimaging Initiative's (ADNI) inception, providing 20 years of data including reliable, multi-platform standardized protocols, carefully curated image data, and quantitative measures provided by expert investigators. The overarching purposes of the MRI Core include: (1) optimizing and standardizing MRI acquisition methods, which have been adopted by many multicenter studies and trials worldwide and (2) providing curated images and numeric summary values from relevant MRI sequences/contrasts to the scientific community. Over time, ADNI MRI has become increasingly complex. To remain technically current, the ADNI MRI protocol has changed substantially over the past two decades. The ADNI 4 protocol contains nine different imaging types (e.g., three dimensional [3D] T1-weighted and fluid-attenuated inversion recovery [FLAIR]). Our view is that the ADNI MRI data are a greatly underutilized resource. The purpose of this paper is to educate the scientific community on ADNI MRI methods and content to promote greater awareness, accessibility, and use. HIGHLIGHTS: The MRI Core provides multi-platform standardized protocols, carefully curated image data, and quantitative analysis by expert groups. The ADNI MRI protocol has undergone major changes over the past two decades to remain technically current. As of April 25, 2024, the following numbers of image series are available: 17,141 3D T1w; 6877 FLAIR; 3140 T2/PD; 6623 GRE; 3237 dMRI; 2846 ASL; 2968 TF-fMRI; and 2861 HighResHippo (see Table 1 for abbreviations). As of April 25, 2024, the following numbers of quantitative analyses are available: FreeSurfer 10,997; BSI 6120; tensor based morphometry (TBM) and TBM-SYN 12,019; WMH 9944; dMRI 1913; ASL 925; TF-fMRI NFQ 2992; and medial temporal subregion volumes 2726 (see Table 4 for abbreviations). ADNI MRI is an underutilized resource that could be more useful to the research community.

INTRODUCTION: Well-chosen biomarkers have the potential to increase the efficiency of clinical trials and drug discovery and should show good precision as well as clinical validity. METHODS: We suggest measures that operationalize these criteria and describe a general approach that can be used for inference-based comparisons of biomarker performance. The methods are applied to measures obtained from structural magnetic resonance imaging (MRI) from individuals with mild dementia (n = 70) or mild cognitive impairment (MCI; n = 303) enrolled in the Alzheimers Disease Neuroimaging Initiative. RESULTS: Ventricular volume and hippocampal volume showed the best precision in detecting change over time in both individuals with MCI and with dementia. Differences in clinical validity varied by group. DISCUSSION: The methodology presented provides a standardized framework for comparison of biomarkers across modalities and across different methods used to generate similar measures and will help in the search for the most promising biomarkers. HIGHLIGHTS: A framework for comparison of biomarkers on pre-defined criteria is presented. Criteria for comparison include precision in capturing change and clinical validity. Ventricular volume has high precision in change for both dementia and mild cognitive impairment (MCI) trials. Imaging measures performance in clinical validity varies more for dementia than for MCI.

Phase four of the Alzheimers Disease Neuroimaging Initiative (ADNI4) magnetic resonance imaging (MRI) protocols aim to maintain longitudinal consistency across two decades of data acquisition, while adopting new technologies. Here we describe and justify the studys design and targeted biomarkers. The ADNI4 MRI protocol includes nine MRI sequences. Some sequences require the latest hardware and software system upgrades and are continuously rolled out as they become available at each site. The main sequence additions/changes in ADNI4 are: (1) compressed sensing (CS) T1-weighting, (2) pseudo-continuous arterial spin labeling (ASL) on all three vendors (GE, Siemens, Philips), (3) multiple-post-labeling-delay ASL, (4) 1 mm3 isotropic 3D fluid-attenuated inversion recovery, and (5) CS 3D T2-weighted. ADNI4 aims to help the neuroimaging community extract valuable imaging biomarkers and provide a database to test the impact of advanced imaging strategies on diagnostic accuracy and disease sensitivity among individuals lying on the cognitively normal to impaired spectrum. HIGHLIGHTS: A summary of MRI protocols for phase four of the Alzheimers Disease Neuroimaging Initiative (ADNI 4). The design and justification for the ADNI 4 MRI protocols. Compressed sensing and multi-band advances have been applied to improve scan time. ADNI4 protocols aim to streamline safety screening and therapy monitoring. The ADNI4 database will be a valuable test bed for academic research.

IntroductionAlzheimer's disease (AD) pathology is defined by β-amyloid (Aβ) plaques and neurofibrillary tau, but Lewy bodies (LBs; ?-synuclein aggregates) are a common co-pathology for which effective biomarkers are needed.MethodsA validated α-synuclein Seed Amplification Assay (SAA) was used on recent cerebrospinal fluid (CSF) samples from 1638 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, 78 with LB-pathology confirmation at autopsy. We compared SAA outcomes with neuropathology, Aβ and tau biomarkers, risk-factors, genetics, and cognitive trajectories.ResultsSAA showed 79% sensitivity and 97% specificity for LB pathology, with superior performance in identifying neocortical (100%) compared to limbic (57%) and amygdala-predominant (60%) LB-pathology. SAA+ rate was 22%, increasing with disease stage and age. Higher Aβ burden but lower CSF p-tau181 associated with higher SAA+ rates, especially in dementia. SAA+ affected cognitive impairment in MCI and Early-AD who were already AD biomarker positive.DiscussionSAA is a sensitive, specific marker for LB-pathology. Its increase in prevalence with age and AD stages, and its association with AD biomarkers, highlights the clinical importance of α-synuclein co-pathology in understanding AD's nature and progression.HighlightsSAA shows 79% sensitivity, 97% specificity for LB-pathology detection in AD. SAA positivity prevalence increases with disease stage and age. Higher Aβ burden, lower CSF p-tau181 linked with higher SAA+ rates in dementia. SAA+ impacts cognitive impairment in early disease stages. Study underpins need for wider LB-pathology screening in AD treatment.

IntroductionAlthough dementia-related proteinopathy has a strong negative impact on public health, and is highly heritable, understanding of the related genetic architecture is incomplete.MethodsWe applied multidimensional generalized partial credit modeling (GPCM) to test genetic associations with dementia-related proteinopathies. Data were analyzed to identify candidate single nucleotide variants for the following proteinopathies: Aβ, tau, α-synuclein, and TDP-43.ResultsFinal included data comprised 966 participants with neuropathologic and WGS data. Three continuous latent outcomes were constructed, corresponding to TDP-43-, Aβ/Tau-, and α-synuclein-related neuropathology endophenotype scores. This approach helped validate known genotype/phenotype associations: for example, TMEM106B and GRN were risk alleles for TDP-43 pathology; and GBA for α-synuclein/Lewy bodies. Novel suggestive proteinopathy-linked alleles were also discovered, including several (SDHAF1, TMEM68, and ARHGEF28) with colocalization analyses and/or high degrees of biologic credibility.DiscussionA novel methodology using GPCM enabled insights into gene candidates for driving misfolded proteinopathies.HighlightsLatent factor scores for proteinopathies were estimated using a generalized partial credit model. The three latent continuous scores corresponded well with proteinopathy severity. Novel genes associated with proteinopathies were identified. Several genes had high degrees of biologic credibility for dementia risk factors.

The present study aimed to reveal science education research (SER) general trends via VOSviewer version 1.6.17 software program. For this purpose, a bibliometric analysis of 13,242 articles in the Education and Educational Research (E&ER) category of Web of Science (WoS) was performed. It was found that there was a significant increase in article counts since 2007, and that the most articles were published in 2020. The first conclusion of the current research was that funding support is an important factor in SER article counts published in WoS. The bibliometric analysis results showed that the most frequently used keywords in SER articles were science education, STEM/STEM education, nature of science, assessment, professional development, science, scientific literacy, argumentation, gender, and conceptual change. Another conclusion of this study was that science education researchers' interest varied according to certain year intervals. The study revealed that the most preferred topics were nature of science and professional development during 2007-2021. Additionally, research interest in the topics of conceptual change, scientific literacy, chemistry education, and attitudes during 2007-2016 declined during 2017-2021. The top four research topics in recent years were STEM, argumentation, self-efficacy, and motivation. The countries where most publications came from were the USA, UK, Australia, Turkey, and Canada. The results of this study showed that science education researchers' interest varied according to countries. The results of the study revealed that STEM/STEM education is mostly referred to in articles from the USA, Australia, UK, Taiwan, and Canada. Additionally, while there was more interest in the nature of science in the USA, Turkey, UK, and Canada there was more interest in argumentation in the USA, Turkey, UK, and Taiwan. Additionally, this study revealed the most cited SER articles' distinctive features and strength collaborations between countries and between authors. The results provided a comprehensive review to understand the recent developments in the SER.

The study was conducted using a qualitative research method to examine Montessori preschool education practices in Turkiye. The study group consisted of 14 teachers in Montessori classrooms of preschools in the central district of a province in Turkiye. The data were collected with a Structured Classroom Observation Form, Material Control List and Semi-structured interviews. The MAXQDA 2022 software was used for the analysis of teacher interviews. According to the findings, the structure of the Montessori classrooms was generally in accordance with the Montessori philosophy, and there was a sufficient number and variety of Montessori materials in the classrooms. Practical life and mathematics activities were frequently included in the program. The most commonly used materials were sensorial and cosmic field materials. Teachers felt inadequate about Montessori practices. There were problems with the high-class size, mixed age, cost and supply of material. According to teachers, education provides children with self-regulation skills and enables effective learning. In addition, education has some advantages for parents and teachers. Children were bored with the activities, parents had insufficient knowledge of the practices, and teachers had time management problems. Finally, teachers offered recommendations for improving practices.

The main purpose of this study was to systematically review and meta-analyse the single-case studies on the use of activity schedules with individuals with autism spectrum disorders. The other purposes were to describe the characteristics of activity schedule studies, assess the design standards of activity schedule studies, estimate the treatment effect of activity schedules, and determine whether activity schedule is an evidence-based practice for children with autism spectrum disorders in improving appropriate behaviours. The non-overlap of all pairs was used to analyse the treatment effect measure. According to the results, seven of 32 activity schedule studies met the design standards with and without reservation. Twenty-four children with autism spectrum disorders whose ages ranged between 3 and 17 years participated in the studies. The target behaviours were on task, independent transition, appropriate peer-play, and following schedule. The photographs and texts were used in both traditional and innovative activity schedules. The overall non-overlap of all pairs score shows that the activity schedule strongly affects those participants with autism spectrum disorders. Finally, this study indicates that the activity schedules can be recommended as an evidence-based practice to improve the appropriate behaviours of children with autism spectrum disorders.