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Copyright of Arab Journal for Scientific Publishing is the property of Research & Development of Human Recourses Center (REMAH) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article used a rich longitudinal data set from four school districts in California to study absenteeism patterns among students classified as an English learner (EL). We looked at absence patterns overall and disaggregated by EL classification, grade level, and pre/post COVID-19. When their demographic and school-level factors are considered, ELs have fewer absences and are less likely to be chronically absent than non-EL students. This finding is evident for all EL classified groups, although the differences in absenteeism for long-term EL (LTEL) and newcomer EL students are markedly smaller than for other EL subgroups. The negative absenteeism patterns for ELs shifted after the COVID-19 pandemic. EL-classified students experienced higher absenteeism rates during the pandemic even when holding other factors constant. This rising absenteeism trend is most evident for current ELs and LTELs. [ABSTRACT FROM AUTHOR]

Background: Adaptive designs (ADs) are intended to make clinical trials more flexible, offering efficiency and potentially cost-saving benefits. Despite a large number of statistical methods in the literature on different adaptations to trials, the characteristics, advantages and limitations of such designs remain unfamiliar to large parts of the clinical and research community. This systematic review provides an overview of the use of ADs in published clinical trials (Part I). A follow-up (Part II) will compare the application of AD in trials in adult and pediatric studies, to provide real-world examples and recommendations for the child health community. Methods: Published studies from 2010 to April 2020 were searched in the following databases: MEDLINE (Ovid), Embase (Ovid), and International Pharmaceutical Abstracts (Ovid). Clinical trial protocols, reports, and a secondary analyses using AD were included. We excluded trial registrations and interventions other than drugs or vaccines to align with regulatory guidance. Data from the published literature on study characteristics, types of adaptations, statistical analysis, stopping boundaries, logistical challenges, operational considerations and ethical considerations were extracted and summarized herein. Results: Out of 23,886 retrieved studies, 317 publications of adaptive trials, 267 (84.2%) trial reports, and 50 (15.8%) study protocols), were included. The most frequent disease was oncology (168/317, 53%). Most trials included only adult participants (265, 83.9%),16 trials (5.4%) were limited to only children and 28 (8.9%) were for both children and adults, 8 trials did not report the ages of the included populations. Some studies reported using more than one adaptation (there were 390 reported adaptations in 317 clinical trial reports). Most trials were early in drug development (phase I, II (276/317, 87%). Dose-finding designs were used in the highest proportion of the included trials (121/317, 38.2 %). Adaptive randomization (53/317, 16.7%), with drop-the-losers (or pick-the-winner) designs specifically reported in 29 trials (9.1%) and seamless phase 2-3 design was reported in 27 trials (8.5%). Continual reassessment methods (60/317, 18.9%) and group sequential design (47/317, 14.8%) were also reported. Approximately two-thirds of trials used frequentist statistical methods (203/309, 64%), while Bayesian methods were reported in 24% (75/309) of included trials. Conclusion: This review provides a comprehensive report of methodological features in adaptive clinical trials reported between 2010 and 2020. Adaptation details were not uniformly reported, creating limitations in interpretation and generalizability. Nevertheless, implementation of existing reporting guidelines on ADs and the development of novel educational strategies that address the scientific, operational challenges and ethical considerations can help in the clinical trial community to decide on when and how to implement ADs in clinical trials. Study protocol registration: https://doi.org/10.1186/s13063-018-2934-7. [ABSTRACT FROM AUTHOR]

Copyright of Trakya Journal of Education is the property of Trakya Journal of Education and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Media & Communication Research / Uluslararası Medya ve Iletişim Araştırmaları Hakemli Dergisi is the property of Journal of Media & Communication Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Partitional clustering is a type of clustering that can organize the data into non-overlapping groups or clusters. This technique has diverse applications across the different various domains like image processing, pattern recognition, data mining, rule-based systems, customer segmentation, image segmentation, and anomaly detection, etc. Hence, this survey aims to identify the key concepts and approaches in partitional clustering. Further, it also highlights its widespread applicability including major advantages and challenges. Partitional clustering faces challenges like selecting the optimal number of clusters, local optima, sensitivity to initial centroids, etc. Therefore, this survey describes the clustering problems as partitional clustering, dynamic clustering, automatic clustering, and fuzzy clustering. The objective of this survey is to identify the meta-heuristic algorithms for the aforementioned clustering. Further, the meta-heuristic algorithms are also categorised into simple meta-heuristic algorithms, improved meta-heuristic algorithms, and hybrid meta-heuristic algorithms. Hence, this work also focuses on the adoption of new meta-heuristic algorithms, improving existing methods and novel techniques that enhance clustering performance and robustness, making partitional clustering a critical tool for data analysis and machine learning. This survey also highlights the different objective functions and benchmark datasets adopted for measuring the effectiveness of clustering algorithms. Before the literature survey, several research questions are formulated to ensure the effectiveness and efficiency of the survey such as what are the various meta-heuristic techniques available for clustering problems? How to handle automatic data clustering? What are the main reasons for hybridizing clustering algorithms? The survey identifies shortcomings associated with existing algorithms and clustering problems and highlights the active area of research in the clustering field to overcome these limitations and improve performance. [ABSTRACT FROM AUTHOR]

We present data from the Schools and Staffing Survey and the National Teacher and Principal Survey to document the prevalence of instructional coaching programs (ICPs) and consider how ICPs are distributed by school level, urbanicity, new teachers in a school, student enrollment, school poverty levels, student achievement levels, and state. We show that ICPs are most common in elementary schools, schools located in cities, schools with larger proportions of new teachers, larger schools, schools enrolling larger fractions of economically disadvantaged students, and schools with lower student achievement levels. Additionally, more affluent and higher achieving schools experienced the sharpest increase in ICPs over time. [ABSTRACT FROM AUTHOR]

Nationally, more than 75% of individuals who are credentialed to teach are prepared in traditional college- or university-based teacher education programs (TEPs). But the college and employment pathways that prospective teachers take to TEP enrollment and completion have not been comprehensively examined. A better understanding of how credentialed individuals find their way into TEPs helps us understand the sources of new teacher supply early in the prospective teacher pipeline. With that in mind, we analyze pathways into and through TEPs using historical postsecondary and unemployment insurance data from Washington State. We find that the pathways are quite varied, with around 40% of bachelor's-level TEP completers spending at least some time in community colleges and fewer than 40% enrolling and finishing at the same university directly after high school. Pathways to master's TEP completion are even more varied, with almost half of the completers having prior employment experience. For researchers, this varied landscape raises important questions about the relationship between pathways, candidate persistence, and eventual job performance. For policymakers, the results suggest that efforts to recruit the next generation of teachers need to look beyond the pool of students already enrolled at a 4-year university to include students at 2-year colleges or in the labor force who might be interested in entering a TEP. [ABSTRACT FROM AUTHOR]

Heart failure (HF) is determined by pathophysiologic changes in the left ventricle (LV) that occur before the onset of clinical symptoms; these changes can lead to mitral insufficiency that will maintain and favor ventricular dysfunction. An associated change in contractility occurs which will maintain the vicious circle. 252 patients with HF were included in this cross- sectional analysis. Patients were divided into two groups, Group I-S/V (n = 55) and Group II-CT (n = 197) to comparatively assess cardiac parameters according to the administered therapy and to determine their correlation with quality of life domains. 2D measurements were performed to determine ultrasound parameters. The WHOQOL-BREF questionnaire was used to assess the quality of life. When analyzing the mean values of the determined echocardiographic parameters, significant differences in LV ejection fraction (LVEF) (p < 0.03) Results: Analysing the mean values of the echocardiographic parameters determined, significant differences in LV ejection fraction (LV ejection fraction (LVEF) (p < 0.001) and right ventricular diameter (p = 0.030) were found between the two study groups. The incidence of aortic regurgitation and tricuspid regurgitation was higher in the I-S/V group (40% vs. 25%, p = 0.001, respectively 47% vs. 35%, p = 0.03). Mitral regurgitation was present in relatively similar percentages. Testing the association of echocardiographic parameters with quality of life domains showed a significant association of LVEF with physical health and relationship with the environment (p = 0.002, r = 0.143, respectively p = 0.041, r = 0.129). Physical dimension and relationship with the environment are more affected in patients with low LVEF. Routine echocardiographic evaluation is essential in the global assessment of the HF patient and may suggest a low quality of life with impaired physical dimension. [ABSTRACT FROM AUTHOR]

Research using school discipline and infraction data has contributed to public policy conversations by helping elucidate the effects of and disproportionate experience of school disciplinary outcomes. This research brief presents results from an analysis of the public availability of such data from state departments of education. Findings suggest that while public availability of discipline data has not changed significantly over the past decade, states are more likely to disaggregate such data by subgroups. Unfortunately, such data remain generally focused on a small number of exclusionary practices rather than nonpunitive or nonexclusionary alternatives. Infraction data are slightly less available than discipline data and significantly less likely to be disaggregated by subgroup. [ABSTRACT FROM AUTHOR]

Community teachers, particularly those who are Black and Latinx, are assumed to improve retention and outcomes depending on retention in schools that serve low-income Black and Latinx students. Based on a critical quantitative analysis of data collected on the career trajectories and retention of hundreds of alternatively certified mathematics teachers, the study shows that community insiders exhibit significantly higher rates of retention in district schools than community outsiders and, in particular, those from elite colleges. Utilizing quantitative critical theory methodology, the study helps to move the field beyond race-neutral analyses of teachers' retention and careers. [ABSTRACT FROM AUTHOR]

Background: The systematic literature review with additional descriptive analysis at hand focuses on analysing returns management in e-commerce, which is an increasingly critical issue as the volume of online shopping is rising. Methods: Drawing from a comprehensive search of academic databases and a manual review of Google Scholar, 54 articles dating from 2007 onwards were collected and fully read. Results: The review reveals a main research effort emerging mainly from Germany and other countries, with a notable focus on fashion retail. The bulk of these studies aim to understand and reduce the frequency of customer returns, addressing a substantial operational challenge for online retailers. The findings provide multiple research streams extracted from the collected literature and combined to an overview. Conclusions: Through this, there are tendencies which can be interpreted to derive the evolution of the research field. The illustrated results in this review paint a detailed picture of the existing research landscape. This highlights the importance of ongoing research, which, e.g., holds potential benefits for customer satisfaction and environmental sustainability. The review also lists future research directions, recommending the continued investigation of areas such as predictive analytics and customer behaviour to further refine returns management practices. [ABSTRACT FROM AUTHOR]

Objectives: This study analyzed the long-term survival of dialysis patients undergoing AVR using the Japanese National Clinical Database with additional survival data. Methods: De-novo AVR for dialysis-dependent patients between 2010 and 2012 who were registered in the Japan Cardiovascular Surgery Database were included. Concomitant aortic surgery and transcatheter aortic valve replacement were excluded. An additional questionnaire was sent to each hospital regarding the underlying kidney disease, the duration of dialysis initiation to the surgery, and clinical outcomes. The Kaplan–Meier survival curve was descriptively shown for all cohorts and each renal pathology. Furthermore, we compared the incidence of bioprosthetic valve failure in patients who were < 65 years old (group Y) and ≧65 years old (group O). Results: Of these 1529 patients, diabetic nephropathy was 517, chronic glomerulonephritis was 437, and renal sclerosis was 210, regarding renal pathology. 1, 3, and 5-year survival in each pathology was 78.4%, 58.6%, 45.9% in diabetic nephritis, 78.8%, 68.4%, 58.2% in chronic glomerulonephritis, 79.0%, 67.8%, 52.1% in renal sclerosis, and 74.4%, 62.6%, 49.2% in others. Active infectious endocarditis was more prevalent in group Y (O 2.7% vs. Y 9.6%). The incidence of bioprosthetic valve failure requiring re-hospitalization was too small to analyze. 1, 3, and 5-year survival was 76.0%, 63.4%, 49.2% in group O and 74.3%, 64.2%, and 47.7% in group Y. Conclusions: Long-term survival of AVR for dialysis-dependent was higher in patients with chronic glomerulonephritis and lower in patients with diabetic nephritis than in other pathologies. [ABSTRACT FROM AUTHOR]

Preference mapping (PM), which integrates consumer and descriptive analysis (DA) data to identify attributes that drive consumer liking, is widely employed for product optimization. However, a limited group of trained panelists cannot fully represent the diverse consumer population or reliably predict market acceptance. Consequently, numerous studies have explored consumer-based methodologies as potential replacements for DA; however, their efficacy for product optimization remains limited. Therefore, this study was conducted to explore the potential of optimizing products using two consumer-based profiling techniques as alternatives to DA in external preference mapping (EPM). Overall, 8 trained panelists profiled 12 sensory attributes of 7 commercial apple juices, whereas 160 consumers assessed the same attributes using a 5-point rate-all-that-apply (RATA) scale and a 10 cm intensity scale (IS). Danzart's response surface ideal modeling was employed to identify optimal products using DA, RATA, and IS through barycenter calculations, focusing on three products from the original consumer test located around the group ideal point. Overall, the ideal products of the group and their sensory characteristics were successfully identified using DA, RATA, and IS. Regarding sensory intensities, high concordance was observed between DA and RATA (Rv = 0.92) and between DA and IS (Rv = 0.91). Overall liking and preference scores for products mixed at the optimal ratio for each method showed no significant differences in preference among the ideal products identified using DA, RATA, and IS. This study suggests that both RATA and IS are viable alternatives to DA in EPM for identifying ideal sensory profiles. [ABSTRACT FROM AUTHOR]

Objective: The objective of the article is to systematically review the existing research on the linkages between the firm's innovation culture and external collaboration.QJ Research Design & Methods: This study employed a systematic literature review approach. For the review, we adapted the systematic review protocol advanced by Tranfield et al. (2003) and Snyder (2019). The review covers articles published between 2000 and 2022 and indexed in the Scopus and Web of Science databases. Findings: The results show that the research in the area is still relatively limited but the interest in the field is growing. The review indicates that the research that has been done so far is not homogeneous and addresses various aspects of the relationships between the firm's innovation culture and collaboration with research organisations, customers, competitors, suppliers, clusters, retailers, distributors, and government institutions. Implications & Recommendations: Although researchers have shed light on the topic, there is a need for an in-depth understanding of the relationship between the firm's innovation culture and external cooperation. The article provides implications for scholars by offering, among others, insights into future research directions including more research on large firms to compare whether the obtained results also apply to the size of firms and more longitudinal studies to increase the number of repeated observations in the field. Moreover, the study suggests the need for practitioners and policymakers to promote the strengthening of the firm's innovation culture and to reduce the potential mismatch of expectations between the innovation culture of the firm and collaboration with external partners. Contribution & Value Added: The article extends the current knowledge on the drivers of firms' innovation activities by providing further findings on the connections between firms' innovation performance and knowledge diffusion. The study contributes to the field by providing a systematic review that specifically gives attention to the relationship between the firm's innovation culture and external collaboration. [ABSTRACT FROM AUTHOR]

Abstract Background Adaptive designs (ADs) are intended to make clinical trials more flexible, offering efficiency and potentially cost-saving benefits. Despite a large number of statistical methods in the literature on different adaptations to trials, the characteristics, advantages and limitations of such designs remain unfamiliar to large parts of the clinical and research community. This systematic review provides an overview of the use of ADs in published clinical trials (Part I). A follow-up (Part II) will compare the application of AD in trials in adult and pediatric studies, to provide real-world examples and recommendations for the child health community. Methods Published studies from 2010 to April 2020 were searched in the following databases: MEDLINE (Ovid), Embase (Ovid), and International Pharmaceutical Abstracts (Ovid). Clinical trial protocols, reports, and a secondary analyses using AD were included. We excluded trial registrations and interventions other than drugs or vaccines to align with regulatory guidance. Data from the published literature on study characteristics, types of adaptations, statistical analysis, stopping boundaries, logistical challenges, operational considerations and ethical considerations were extracted and summarized herein. Results Out of 23,886 retrieved studies, 317 publications of adaptive trials, 267 (84.2%) trial reports, and 50 (15.8%) study protocols), were included. The most frequent disease was oncology (168/317, 53%). Most trials included only adult participants (265, 83.9%),16 trials (5.4%) were limited to only children and 28 (8.9%) were for both children and adults, 8 trials did not report the ages of the included populations. Some studies reported using more than one adaptation (there were 390 reported adaptations in 317 clinical trial reports). Most trials were early in drug development (phase I, II (276/317, 87%). Dose-finding designs were used in the highest proportion of the included trials (121/317, 38.2 %). Adaptive randomization (53/317, 16.7%), with drop-the-losers (or pick-the-winner) designs specifically reported in 29 trials (9.1%) and seamless phase 2-3 design was reported in 27 trials (8.5%). Continual reassessment methods (60/317, 18.9%) and group sequential design (47/317, 14.8%) were also reported. Approximately two-thirds of trials used frequentist statistical methods (203/309, 64%), while Bayesian methods were reported in 24% (75/309) of included trials. Conclusion This review provides a comprehensive report of methodological features in adaptive clinical trials reported between 2010 and 2020. Adaptation details were not uniformly reported, creating limitations in interpretation and generalizability. Nevertheless, implementation of existing reporting guidelines on ADs and the development of novel educational strategies that address the scientific, operational challenges and ethical considerations can help in the clinical trial community to decide on when and how to implement ADs in clinical trials. Study protocol registration https://doi.org/10.1186/s13063-018-2934-7 .

Aflatoxin (AF) is considered a problematic issue in poultry farms. A novel bio-green synthesis nanoparticle technique is newly introduced in the poultry industry, thus this study aimed to investigate the harmful effects of aflatoxin on the histological structure of broilers' spleen as well as its toxicity on the immune system through the study of CD4+ and CD8+ expression and determination of the silver nitrate nanoparticles (AgNP) protective role against aflatoxin. Forty-five broiler chicks were divided into three groups. T1 control, T2 birds were treated with AF 70 ppb, and T3 birds were treated with AF and silver nanoparticles 150 ppm for 21 days. The result of histological examination in T2 revealed progressive pathological alteration in the red and white pulp with regressive pathological lesions in the splenic trabeculae and central artery sclerosis and white pulp regeneration with edema and congestion in T3. The descriptive chart analysis was used for pathological lesions, showing that the percentages for the red pulp in the three groups were 76, 71, and 73 and for the white pulp 24,29, and 27, respectively. Furthermore, there was a significant decrease of CD4+ and CD8+ expression in the splenic tissue of the broiler in T2 in contrast to T1 and T3. This study concluded that biosynthetic silver nanoparticles can reduce the histological effects and immunotoxicity of aflatoxin, and the descriptive and semi-quantity analysis of the histopathological lesions are essential modern methods in significantly evaluating the results of histological examination.

Copyright of Gazi University Journal of Gazi Educational Faculty (GUJGEF) is the property of Gazi University Journal of Gazi Educational Faculty (GUJGEF) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This brief analyzes 4-year graduation rates among students ever classified as English learners (ever-ELs) and those never classified as English learners (never-ELs) at the intersections of gender, race/ethnicity, and neighborhood income. We follow two cohorts of New York City students who entered ninth grade in 2013–2014 and 2014–2015 (N = 127,931). We find substantial variations in 4-year graduation among these subgroups, with differential predicted probabilities depending on the student's ever-EL status, race/ethnicity, and neighborhood income. These findings reveal important intersectional disparities in this diverse group of ELs—nuances that are lost when analyzing across a single social dimension and that push us to adopt an intersectional lens in quantitative research on ELs. [ABSTRACT FROM AUTHOR]

We leverage log data from an educational app and two-way text message records from over 3,500 students during the summers of 2019 and 2020 and in-depth interviews in Spanish and English to identify patterns of family engagement with educational technology. Based on the type and timing of technology use, we identify several distinct profiles of engagement, which we group into two categories: independent users who engage with technology-based educational software independently and interaction-supported users who use two-way communications to support their engagement. We also find that as the demands of families from schools increased during the COVID-19 pandemic, Spanish-speaking families were significantly more likely than English-speaking families to engage with educational technology across all categories of families, particularly as interaction-supported users. [ABSTRACT FROM AUTHOR]

This study aimed to develop an analytical method using HS-SPME/GC-MS to determine the volatile organic compound (VOC) profiles and evaluate the sensory attributes of cocoa honey from four cocoa varieties (CCN51, PS1319, SJ02, and Parazinho). Using a multivariate factorial experimental design, the HS-SPME/GC-MS method was optimized to determine the VOC profiles. Twenty previously trained tasters participated in the ranking descriptive analysis, while 108 consumers participated in the acceptance and purchase intention tests. A total of 84 volatile organic compounds were identified from various chemical classes, including acids, alcohols, aldehydes, esters, ketones, monoterpenes, oxygenated monoterpenoids, sesquiterpenes, and oxygenated sesquiterpenoids. Palmitic acid was the compound found in the highest concentration in all varieties (5.13–13.10%). Multivariate analysis tools identified key compounds for differentiation and grouping of the samples. The results revealed that the variety significantly influenced both the VOCs’ concentrations and sensory profiles. The CCN51, PS1319, and SJ02 varieties exhibited the highest diversity of VOCs and sensory attributes. Notably, the SJ02 and CCN51 varieties demonstrated superior acceptability and purchase intention, with means ranging from 7.21 and 7.08 to 3.71 and 3.56, respectively. These results indicate their potential as promising sources of cocoa honey for the food industry. [ABSTRACT FROM AUTHOR]

• Half-day and full-day classrooms differed in their proportional allocation of instructional and non-instructional activities. • The main difference in full-day classrooms was the inclusion of a daily nap within the additional hours. • Mixed-content activities were a significant aspect of time use in both half-day and full-day classrooms and often included math and ELA content mixed with other content areas. • There were absolute differences in time-use between half and full-day classrooms that provided full-day students about 177 more hours of academic content and instruction annually compared to half-day students. The current study examines the allocation of instructional time in half-day versus full-day pre-Kindergarten (pre-K) classrooms within a Colorado public school district that predominantly serves Hispanic and low-income students. Using 114 observations from 34 pre-K classes over two years, with up to 14 repeated observations per teacher, we analyze the distribution of time across various activities and content areas. We find substantial variation in time allocation between half- and full-day classes, especially regarding instructional and non-instructional activities, suggestive of potential differences in learning opportunities across the school year. Notably, full-day classes include a daily nap within their additional hours. Furthermore, we observe a considerable portion of classroom time dedicated to mixed-content activities, highlighting the multidimensional nature of time use in school-based pre-K. Our study's description of time allocation in this district also provides context for the previously published causal effects of the Full-Day Pre-K Study. Ultimately, the present study fills a gap in the body of research on time use in this early childhood education setting and informs stakeholders who are considering the expansion of pre-K programs to include a full-day option. [ABSTRACT FROM AUTHOR]

This study aimed to determine the nutrient content, sensory profile, and shelf life of powdered coconut drink processed with freeze-drying method. The drink was made from a mixture of young coconut water and young coconut meat from freshly harvested fruit. The freeze-dried powdered coconut drink has high Mg and Fe but low Na content. The amino acid profile was dominated by lysine, leucine, valine, and arginine, while fatty acid profile contained mostly lauric, myristic, and oleic acids. The development of powdered coconut drink through freeze-drying showed that the process could maintain its sensory characteristics with a slight reduction in sweetness and loss of fermented aroma. It also could prolong the shelf life of the product to 59, 44, and 30 days at 25°C, 35°C, and 45°C, respectively. In conclusion, powdered coconut drink had nutritional content and sensory characteristics not significantly different to fresh products while having longer shelf life. [ABSTRACT FROM AUTHOR]

Copyright of Revista de Ciencias Sociales (13159518) is the property of Revista de Ciencias Sociales de la Universidad del Zulia Venezuela and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Baner-Balewadi was a rural area that transformed into a residential suburb and is now metamorphosing into a commercial and educational hub of Pune city. This area is now a part of Pune Municipal Corporation and is occupied by various schools, universities, and IT companies. The decadal population growth rate of the Baner-Balewadi area is 275%; it is much higher than the Pune district's and city's growth rate, which makes it a fascinating area for this study. A cross-sectional survey was conducted in this area covering three major regions: Balewadi Highstreet, Baner-Balewadi road, and NICMAR University. The data for 15 parameters were gathered, a total of 38 survey samples were collected using stratified random sampling, and land use was mapped to understand the grassroots reality. Thereafter, the parameters were analysed using a descriptive statistical technique, and spider mapping was used for data presentation. The strengths and challenges regarding infrastructural services, transportation, socio-economic factors, environment, and land use were identified. The results show that the waste collection is strong, but there are drinking water issues in the area. The recent development is causing stress on the infrastructural services and unregulated land-use change leading to environmental degradation. The metro construction is causing a lot of noise and air pollution, and people will still prefer buses as a transportation medium in the future because of good connectivity. The study is concluded with area-wise parametric recommendations made after examining the advancement, challenges, and gaps identified at the grassroots from both stakeholders' and experts' perspectives. [ABSTRACT FROM AUTHOR]

Background: The widespread adoption of the electronic health record (EHR) has resulted in vast repositories of EHR big data that are being used to identify patterns and correlations that translate into data-informed health care decision making. Problem: Health care professionals need the skills necessary to navigate a digitized, data-rich health care environment as big data plays an increasingly integral role in health care. Approach: Faculty incorporated the concept of big data in an asynchronous online course allowing an interprofessional mix of students to analyze EHR big data on over a million patients. Outcomes: Students conducted a descriptive analysis of cohorts of patients with selected diagnoses and presented their findings. Conclusions: Students collaborated with an interprofessional team to analyze EHR big data on selected variables. The teams used data visualization tools to describe an assigned diagnosis patient population. [ABSTRACT FROM AUTHOR]

Volatile organic compounds (VOCs) are crucial to the wine's overall quality since they define the aromatic profile. The aim of this study was to investigate whether a 146-day extended maceration (EM) treatment positively affects the aromatic and sensory properties of Monastrell red wine. A total of 43 aromatic compounds belonging to different chemical classes were identified using solid-phase microextraction combined with gas chromatography–mass spectrometry (SPME/GC-MS). In general, EM treatment decreased both the number and total relative concentration of VOCs. Specifically, EM decreased the concentration of alcohols, terpenes and sulphur compounds compared to control wines. However certain compounds such as 2-ethyl-1-hexanol, phenylethyl and ethyl decanoate significantly increased with prolonged maceration. Conversely, EM treatment did not significantly affect the total relative concentrations of esters and ketones. From sensorial point of view, the triangular test showed a positive identification of wines (10/18) with a significant preference for EM wines. Moreover, descriptive analysis revealed that EM wines scored lower values in appearance, aroma and taste. Future research should aim to optimize maceration time to enhance the content of VOCs without compromising the sensory quality of the wine. [ABSTRACT FROM AUTHOR]

The oyster mushroom is cultivated globally, renowned for its unique texture and umami flavor, as well as its rich content of nutrients and functional ingredients. This study aims to identify the descriptive sensory characteristics, assess the consumer acceptability of new superior lines and cultivars of yellow oyster mushrooms, in addition to exploring the relationship between these descriptive characteristics and consumer acceptability. Statistical analyses were performed using one-way analysis of variance (ANOVA), principal component analysis (PCA), and partial least squares regression (PLSR). Twenty attributes were delineated, including three related to appearance/color (gray, yellow, and white), four associated with the smell/odor of fresh mushroom (oyster mushroom, woody, fishy, and seafood smells), three pertaining to the smell/odor of cooked mushrooms (mushroom, umami, and savory smells), four describing flavor/taste (sweet, salty, umami, and savory tastes), and five for texture/mouthfeel (chewy, smooth, hard, squishy, and slippery textures). Consumer acceptability tests involved 100 consumers who evaluated overall liking, appearance, overall taste, sweetness, texture, savory taste, MSG taste, smell, color, purchase intention, and recommendation. The general oyster mushroom (548 samples) scored highest in acceptability. Seven attributes, namely fresh mushroom smell, seafood smell (fresh), fishy smell (fresh), umami smell (cooked), nutty smell (cooked), salty taste, and MSG taste with the exception of appearance showed significant differences among samples (p < 0.001). The three yellow oyster mushroom samples were strongly associated with attributes like hardness, softness (texture), sweet taste (745 samples), MSG taste, salty taste, squishy texture, and fishy smell (483 and 629 samples). The development of sensory lexicons and increasing consumer acceptance of new superior lines and cultivars of yellow oyster mushroom will likely enhance sensory quality and expand the consumer market, aligning with consumer needs and preferences. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Erciyes Communication / Erciyes İletişim Dergisi is the property of Erciyes University, Faculty of Communication / Erciyes Universitesi Iletism Fakultesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The number of plant‐based meat products on supermarket shelves around the world has grown in recent years however reproducing the sensory experience of eating meat remains a challenge. This study aims to evaluate the sensory gaps between animal and plant‐based meat products, specifically burger‐type products, from the Australian market. The sample set of 19 commercially available burgers comprises 8 animal‐based burgers prepared using beef, chicken, kangaroo, pork, or turkey and 11 high protein plant‐based burgers. Vegetable patties are beyond the scope of this study. A trained sensory panel (n = 14) determined the major differences in aroma, texture, flavor, and aftertaste between meat and meat analogues during oral processing, particularly those that may impact consumer acceptability. The animal‐based burgers scored high for meaty (aroma), meaty (flavor), and umami but not legume, vegetative, bitterness, and lingering spice attributes. They also received higher average scores for juiciness, fattiness, and final moistness than the plant‐based burgers but scored lower in cohesiveness. The plant‐based burgers scored high for legume and bitterness but not meaty (aroma), meaty (flavor), and umami attributes. Improving current products and designing new products with desirable sensory properties will enhance consumer acceptability and reinforce recent growth in the plant‐based meats market. [ABSTRACT FROM AUTHOR]

Copyright of Turkish Studies - Economics, Finance, Politics is the property of Electronic Turkish Studies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study investigates the relationship between text-to-speech (TTS) usage and item-by-item performance in the 2017 eighth-grade National Assessment of Educational Progress (NAEP) math assessment, focusing on students with disabilities (SWDs), English language learners (ELLs), and their general education (GE) peers. Results indicate that all students use TTS more for longer and more difficult math items as well as for multiple-choice or short-response formats. Among SWDs and GE students, lower math proficiency and higher perceived time pressure are linked to higher TTS usage. Moreover, among GE students, factors such as male gender, minority status, lower math persistence, and higher math interest and effort during testing contribute to higher TTS usage. TTS usage is positively associated with item performance for SWDs and ELLs who received extended time accommodations but not for those who did not receive such accommodations or for general education students. The study suggests that the time constraints of speeded digital assessments may limit the potential benefits of TTS for SWDs and ELLs in math problem-solving. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Research in Teaching Turkish (IJRTT) is the property of International Journal of Research in Teaching Turkish (IJRTT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BackgroundA national Oral Cholera Vaccine (OCV) Euvichol-Plus® campaign was launched in Lebanon, in response to the first outbreak in three decades, recorded in October 2022. The OCV vaccination campaign was carried out between November 2022 and February 2023. This study aims to cover adverse events reports, received at the Lebanese National Pharmacovigilance Program’s (LNPVP) passive surveillance system.MethodsCase reports were extracted from the LNPVP’s database. SPSS software was used to perform statistical analysis, with categorical variables compared using Pearson’s χ2 test. A descriptive analysis was performed based on age, gender, vaccine administered, and adverse event(s) associated with the administered vaccine.ResultsA total of 115 Adverse Events Following Immunization (AEFIs) were reported, which corresponded to 46 case reports. The top three reported AEFIs were fever (39.13%), diarrhea (30.43%), and vomiting (30.43%). Reported cases were non-serious (82.6%). The highest proportion of Individual Case Safety Reports (ICSRs) received is attributed to females (56.5%), and the age category of 2 and 11 years old (41.3%). Reporters’ age range was 1–74 years old.ConclusionMonitoring AEFIs through the cholera outbreak’s emergency campaign favors the safety profile of OCV.

In recent years, there has been a notable rise in the portrayal of LGBTQ+ characters in TV series available on online platforms. This poses a challenge for translators from a linguistic, social and cultural perspective, as they need to deal with the transference of fictional speech according to diverse identities. In this respect, translators are not only in charge of translating the fictional speech for a given audiovisual product to be either subtitled or dubbed into a different language, but they have the role of conveying and preserving LGBTQ+ characters’ identities accurately. The objective of this paper is to analyze the translation of sex-related language in TV series with LGBTQ+ representation. On the basis of a selected corpus of two different English-language TV series (Euphoria and Sex Education), this descriptive study analyzes the fictional speech of several LGBTQ+ characters and focuses on the translation of sex-related language from English into Spanish in both their dubbed and subtitled versions. The translation strategies used to render sex-related conversations when translating audiovisual fiction are discussed throughout the study in order to show different ways of facing the translation of specific sexual expressions. In this respect, the study intends to highlight the fact that all decisions made when translating fictional conversations that LGBTQ+ characters have about sex may have an influence on the representation of several topics such as sexuality, gender or identity. The study also discusses how other aspects such as the translation of inclusive language and the expression of gender identity may also affect the portrayal of LGBTQ+ characters.

Using the data of the second wave of Armenia’s Financial Capability Barometer, this research analyzes the factors influencing people’s savings behavior in Armenia. Based on a total sample size of n=1447, the results show significant differences in people’s savings behavior based on geographical, demographic, and social characteristics. People in different Armenian regions display different savings behaviors, and those living in rural areas save more than their compatriots living in urban areas or the capital. The results also show that gender, generation, educational level, and marital status are important in people’s savings decision-making. In addition, those who receive seasonal incomes from agriculture, tourism, or remittances, exhibit better savings behaviors. Employment and income levels showed no significant effect. Moreover, a simple linear regression shows that savings knowledge and savings attitude are positively related to people’s savings behavior, yet savings attitude shows a stronger influence than savings knowledge. This research work provides several policy implications and provides important indications to improve people’s savings behavior in Armenia.

In statistical analyses, a common practice for enhancing the validity of variance analysis is the application of data transformation to convert measurements into a different mathematical scale. This technique was first employed in 1898 by Edgeworth and remains relevant in current scientific publications despite the proliferation of more modern and advanced techniques that obviate the need for certain assumptions. Data transformations, when appropriately used, can make the model error terms approximate a normal distribution. It is also possible to use the technique to correct the heterogeneity of variances or to render an additive model, ensuring the validity of the analysis of variances. Given that this technique can be hastily applied, potentially leading to erroneous or invalid results, we conducted a systematic literature review of studies in the field of agrarian sciences that utilized data transformations for the validation of analysis of variances. The aim was to check the transformations employed by the scientific community, the motivation behind their use, and to identify possible errors and inconsistencies in applying the technique in publications. In this study, we identified shortcomings and misconceptions associated with using this method, and we observed incomplete and inadequate utilization of the technique in 94.28 % of the analysed sample, resulting in misguided and erroneous conclusions in scientific research outcomes.

In Malaysia, home-based businesses emerge as one of the most enticing paths for entrepreneurial endeavors. This paper attempts to identify the barriers faced by urban women from the B40 demographic in the Selangor, Malaysia. A group of 25 participants in a one-day pastry-making workshop was conveniently chosen to partake in this study. A post-event survey was conducted to gain deeper insights into the hurdles these participants faced in their efforts to establish home-based pastry businesses. Only two participants managed to launch their pastry businesses following the workshop. The barriers highlighted by most participants revolved around initial capital to initiate their home-based businesses, a shortage of suitable equipment and utensils, and the unsuitability of their homes for running food-related business activities. [ABSTRACT FROM AUTHOR]