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Chronic special education teacher (SET) shortages are a national concern and particularly problematic in rural school districts. That is, rural districts face challenges when it comes to hiring and retaining qualified SETs. To understand the contributing factors related to retention and attrition, it is essential to gain insight from rural SETs first-hand. The purpose of this study was to listen to and learn from current and former rural SETs and gain insight on their needs and how they believe retention can be improved in geographically isolated areas. Including the voices of current rural SETs and those who chose to leave their position shed light on the benefits of being employed in rural areas while bringing attention to current issues that need to be addressed to improve SET retention. Using a qualitative descriptive research design, we analyzed open-ended survey responses from 185 U.S. participants. In all, a total of six themes and 11 subthemes emerged. Findings highlight the needs of rural SETs, and corresponding recommendations for administrators and school leaders in rural communities are offered.

Many individuals with autism spectrum disorder (ASD) are inequitably unemployed due to challenges associated with the social and communication demands of the traditional job interview process. Using a single-case multiple-baseline design replicated across participants, we evaluated the effects of eCoaching with online bug-in-ear (BIE) technology on responses to job interview questions in transition-age students with ASD. Results demonstrated a functional relation between the intervention and target behavior, and the acquired interview skills were maintained up to 6 weeks post-intervention. Social validity findings indicated all participants enjoyed receiving feedback through online BIE while participating in live-streamed mock job interviews and would recommend this intervention to others. This study extends the limited literature on promoting employment opportunities for job-seeking individuals with ASD.

The frequency of wildfires is increasing worldwide, contributing to a third of forest loss over the last two decades. Tracking burned area progression using traditional optical remote sensing is hindered by cloud and smoke coverage. Therefore, this research employs multitemporal synthetic aperture radar (SAR) satellite data, which are not susceptible to atmospheric effects. Focusing on four Greek wildfires in 2021, the research utilizes unsupervised k-means clustering on bitemporal and multitemporal SAR polarimetric features. The impact of input feature smoothing with varying moving kernel window sizes was assessed to improve accuracy. The use of these smoothed features led to a substantial improvement in accuracy across all four areas examined, while a window size of 19 × 19 was chosen as the right balance between preserving fine details and minimizing speckle. Furthermore, adding a filter after clustering to remove areas smaller than 2 ha led to additional improvements in accuracy, especially in commission error. The results using the defined settings revealed F1 scores of 0.75–0.88, overall accuracy of 81%–94%, and omission/commission errors of 33%–16% and 14%–3%, respectively. Challenges were observed in regions characterized by a substantial share of agricultural areas, while terrain effects revealed no substantial effects on the results. The assumption that the SAR will be sensitive mainly to bigger structural changes was proved in the visual validation using high-resolution imagery. In addition, a Google Earth Engine toolbox “Sentinel-1 Burned Area Progression” was developed using the presented methodology and is freely available for the scientific community on GitHub.

‘Xinomavro’ (V. vinifera L.) is an important native red wine grape variety in Northern Greece, particularly in PDO (protected designation of origin) regions. Despite its significance, there is limited research on the effects of pruning type and severity on ‘Xinomavro’ vine physiology, yield, and berry quality across diverse environmental conditions. This study aimed to address this knowledge gap and provide growers with crucial information for optimizing vineyard management practices. The study was conducted over two consecutive years (2016 and 2017) in a vineyard in Thessaloniki, Northern Greece. Four treatments (B12: 12 buds on 6 spurs, B24: 24 buds on 12 spurs, M12: 12 buds on 2 canes, and M24: 24 buds on 4 canes) combining two bud load levels (12 or 24 count nodes) and two pruning types (short spurs or long canes) were applied to ‘Xinomavro’ vines in a complete block randomized design. The vine water status, gas exchange, canopy characteristics, yield components, and berry composition were measured. Bud load and pruning type significantly influenced vine canopy development, microclimate, and yield components. Short pruning with high bud load (B24) resulted in denser canopies and higher yields, whereas cane pruning (M12 and M24) led to more open canopies and improved berry quality indicators. Treatment effects on berry composition were inconsistent across years but showed a tendency for higher anthocyanin and total phenol content in cane-pruned vines. This study demonstrates that pruning type (short or long fruiting units) may have a greater impact on vine growth, yield, and berry composition than bud load alone in ‘Xinomavro’ vines. Cane pruning appears to be a more effective strategy for achieving vine balance and potentially improving grape quality under given experimental conditions.

Rootstocks serve as a strategic tool for grapevine adaptation to specific biotic and abiotic conditions and for managing vine growth, grape yield, and berry composition in commercial vineyards. This study investigates the influences of four different rootstock varieties (101-14 MGt, 3309 C, 110 R, and 140 Ru) on the viticultural performance of ‘Xinomavro’ vines, a prominent Greek red winegrape varietal. By conducting a two-year field experiment using various rootstocks, we assessed parameters related to water status, vegetative growth, yield, and berry composition. Our results revealed that rootstock selection has a significant impact on vine development, especially in terms of berry size and the concentrations of secondary metabolites. Principal component analysis confirmed the complex interaction between rootstock vigor and vine productivity. This study underscores the importance of rootstock variety in manipulating grapevine characteristics, particularly for the ‘Xinomavro’ variety, in response to regional climatic conditions.

Aquatic vegetation is an essential component of lake ecosystems, used as a biological indicator for in situ monitoring within the Water Framework Directive. We developed a hierarchical object-based image classification model with multi-seasonal Sentinel-2 imagery and suitable spectral indices in order to map the aquatic vegetation in a Mediterranean oligotrophic/mesotrophic deep lake; we then applied the model to another lake with similar abiotic and biotic characteristics. Field data from a survey of aquatic macrophytes, undertaken on the same dates as EO data, were used within the accuracy assessment. The aquatic vegetation was discerned into three classes: emergent, floating, and submerged aquatic vegetation. Geographic object-based image analysis (GEOBIA) proved to be effective in discriminating the three classes in both study areas. Results showed high effectiveness of the classification model in terms of overall accuracy, particularly for the emergent and floating classes. In the case of submerged aquatic vegetation, challenges in their classification prompted us to establish specific criteria for their accurate detection. Overall results showed that GEOBIA based on spectral indices was suitable for mapping aquatic vegetation in oligotrophic/mesotrophic deep lakes. EO data can contribute to large-scale coverage and high-frequency monitoring requirements, being a complementary tool to in situ monitoring.

'Xinomavro' (V. vinifera L.) is an important native red wine grape variety in Northern Greece, particularly in PDO (protected designation of origin) regions. Despite its significance, there is limited research on the effects of pruning type and severity on 'Xinomavro' vine physiology, yield, and berry quality across diverse environmental conditions. This study aimed to address this knowledge gap and provide growers with crucial information for optimizing vineyard management practices. The study was conducted over two consecutive years (2016 and 2017) in a vineyard in Thessaloniki, Northern Greece. Four treatments (B12: 12 buds on 6 spurs, B24: 24 buds on 12 spurs, M12: 12 buds on 2 canes, and M24: 24 buds on 4 canes) combining two bud load levels (12 or 24 count nodes) and two pruning types (short spurs or long canes) were applied to 'Xinomavro' vines in a complete block randomized design. The vine water status, gas exchange, canopy characteristics, yield components, and berry composition were measured. Bud load and pruning type significantly influenced vine canopy development, microclimate, and yield components. Short pruning with high bud load (B24) resulted in denser canopies and higher yields, whereas cane pruning (M12 and M24) led to more open canopies and improved berry quality indicators. Treatment effects on berry composition were inconsistent across years but showed a tendency for higher anthocyanin and total phenol content in cane-pruned vines. This study demonstrates that pruning type (short or long fruiting units) may have a greater impact on vine growth, yield, and berry composition than bud load alone in 'Xinomavro' vines. Cane pruning appears to be a more effective strategy for achieving vine balance and potentially improving grape quality under given experimental conditions. [ABSTRACT FROM AUTHOR]

Chronic special education teacher (SET) shortages are a national concern and particularly problematic in rural school districts. That is, rural districts face challenges when it comes to hiring and retaining qualified SETs. To understand the contributing factors related to retention and attrition, it is essential to gain insight from rural SETs first-hand. The purpose of this study was to listen to and learn from current and former rural SETs and gain insight on their needs and how they believe retention can be improved in geographically isolated areas. Including the voices of current rural SETs and those who chose to leave their position shed light on the benefits of being employed in rural areas while bringing attention to current issues that need to be addressed to improve SET retention. Using a qualitative descriptive research design, we analyzed open-ended survey responses from 185 U.S. participants. In all, a total of six themes and 11 subthemes emerged. Findings highlight the needs of rural SETs, and corresponding recommendations for administrators and school leaders in rural communities are offered. [ABSTRACT FROM AUTHOR]

Many individuals with autism spectrum disorder (ASD) are inequitably unemployed due to challenges associated with the social and communication demands of the traditional job interview process. Using a single-case multiple-baseline design replicated across participants, we evaluated the effects of e Coaching with online bug-in-ear (BIE) technology on responses to job interview questions in transition-age students with ASD. Results demonstrated a functional relation between the intervention and target behavior, and the acquired interview skills were maintained up to 6 weeks post-intervention. Social validity findings indicated all participants enjoyed receiving feedback through online BIE while participating in live-streamed mock job interviews and would recommend this intervention to others. This study extends the limited literature on promoting employment opportunities for job-seeking individuals with ASD. [ABSTRACT FROM AUTHOR]