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This study aimed to investigate the impact of artificial intelligence (AI) anxiety on multi-dimensional 21st-century skills and lifelong learning among undergraduates. A quantitative method using a correlational research model was used to examine the relationships between AI anxiety, 21st-century skills, and lifelong learning levels, considering various demographic and educational variables. Data were collected from undergraduates in educational faculty programs in Kyrenia, Turkish Republic of Northern Cyprus (TRNC) during the 2023-2024 academic year. Findings revealed a moderate level of AI anxiety among students, a strong perception of possessing relevant 21st-century skills, and a moderate recognition of the importance of lifelong learning. Significant differences in AI anxiety were observed based on gender, with females reporting higher anxiety levels. Age, country of origin, university, faculty program, class level, GPA, use of AI-based products or services, and daily internet use for professional development also influenced students' 21st-century skills and lifelong learning levels. No significant correlations were found between AI anxiety and the other constructs, while a moderate positive correlation was identified between 21st-century skills and lifelong learning. These findings emphasize the importance of fostering 21st-century skills for lifelong learning and suggest that AI anxiety may not significantly impact students' skill acquisition or learning behaviours.

Since it has become necessary for each individual to be statistically literate, statistical education research has taken teachers' competencies into its agenda. The knowledge needed to teach statistics differs from the knowledge needed to teach mathematics since statistics is different from mathematics. Teachers and researchers need to consider these differences and be aware of the challenges of statistics teaching. This article focuses on the nature of statistical knowledge for teaching (SKT). Models of conceptualizing and measuring SKT from research literature were reviewed critically. The strengths and weaknesses of models were discussed. The article concludes with some implications for teacher education and research.

The present study aimed to determine whether using culture-themed documentaries in Turkish teaching of B2 level international students has effects on the development of guided writing skills. The study had an action-research design, which is one of the qualitative study approaches. The study group consisted of 12 international students at the B2 level who learned Turkish in the 2022-2023 academic year at the Turkish Teaching Application and Research Center of a state university in Turkey. The data collection process was performed under two headings as "developing an action plan" and "implementing the action plan". During the developing an action plan stage, the themes and documentaries to be used in the activities were determined by receiving the opinions of the experts. In the next step, guided writing activities were prepared in line with the writing acquisitions by consulting experts. The pilot applications of the activities were performed at the Turkish Teaching Application and Research Center of a state university in Turkey. Quantitative and qualitative data collection tools were used and the developmental status of the students was monitored to interpret how the guided writing skill activities developed in the classroom environment progressed. The worksheets of the students were evaluated by using the "Guided Writing Scoring Key", which was developed by the researchers. Students' pre-test, application order, post-test, and permanency scores were determined with this key. Based on the findings obtained in the study, it was concluded that using culture-themed documentaries in Turkish teaching of international students improved the guided writing skill levels of the students.

This longitudinal research was conducted in Girne American University, Faculty of Education during the pandemic process by means of a qualitative multiple case study with semi-structured questions through online forms with a purposefully selected study group of 143 undergraduates between 2020-2022 academic years. The two phase research had 75 participants in the first phase and 68 in the second one. The interview questions were first applied to a randomly selected pilot group consisted of 13 participants that are exempted from the research. Content analysis was utilized in the data set in order to have a deep understanding of the findings. Findings revealed that most of the students did not have an online education experience before, but their competency levels were stated to be positive and they are quite satisfied from the distance education applications. Internet quality is found to be the major obstacle, Zoom to be the most used platform. Evaluation and communication problems are found to be at the center of negative attitudes. Even if there are both positive and negative attitudes towards the future preferences, a combination of face to face and online sessions seem to be accepted by the participants.

The main target of language training is to help students acquire proficiency in reading, writing, listening, and speaking skills. Each language skill is complementary to the other in nature. As one of these skills, writing is based on narration. Through writing studies, the level of progression of the listening, speaking, and reading skills of the students can be objectively monitored. Therefore, writing studies should be emphasized as much as other language skills. This study aims to conduct a literature review about the outcomes of writing proficiency. In this qualitative study, the relevant parts of the literature were reviewed, and B2 level writing skill outcomes were compiled. The writing skill outcomes obtained as the result of the literature review were categorized and were classified as "the national level writing skill outcomes list for B2 level", "the international level writing skill outcomes list for B2 level," and "the writing outcomes, reduced to 11 items as the result of the literature review" after obtaining the relevant expert opinion. At the final stage of the study, the outcomes were submitted to the review of 3 experts in the field by using the "Writing Outcomes Compliance Assessment Form." After the feedback was received from the experts, a total of eight writing skill outcomes for B2 level, indicated in List 4, were generated. The obtained outcomes were submitted to the literature to contribute to the field.

Abstract Purpose Blood donors are crucial in maintaining the blood supply chain. This study aims to improve the location and distribution of blood donation centers by focusing on two main objectives: minimizing costs and maximizing quality. Minimizing costs includes setting up and transporting blood efficiently while maximizing quality to ensure that blood products are delivered to hospitals promptly and in the right quantities. Methods A multi-objective mathematical model is proposed to address the placement of both fixed and mobile blood donation centers. The first objective focuses on minimizing the costs of setting up centers and transporting blood. The second objective aims to maximize quality by ensuring timely deliveries and meeting hospitals’ blood demand. The model utilizes real-world traffic and blood donation data from urban settings to simulate its effectiveness and applicability in practice. The model uses the $$\varepsilon$$ ε constraint method to optimize both objectives simultaneously. Results The model was tested in various scenarios, optimizing cost and quality separately. The algorithm determined the ideal locations for blood donation centers to meet demand by exploring different options. It also accounted for factors that reduce quality, such as delayed deliveries and product returns, and showed that these issues could be minimized. Conclusion This study highlights the need to balance cost and quality when determining the locations of blood donation centers. Using the $$\varepsilon$$ ε constraint method, the model successfully optimized both objectives, offering valuable insights for improving the efficiency and effectiveness of blood donation operations.

Aim: Digital platforms such as YouTube are popular sources of health-related information. Although there are studies evaluating the quality of different online medical content, studies focusing on the quality of dementia-related content are limited. This study aimed to investigate the quality of YouTube videos related to dementia patient care.Material and Methods: Using the term "Dementia care" on the YouTube platform, 100 English videos that met the inclusion criteria were identified and analyzed. In addition to video popularity measurements, to evaluate content quality, the global quality scale (GQS), modified DISCERN scale, Journal of the American Medical Association (JAMA) quality scale, and the patient education materials assessment tool for audio/visual materials (PEMAT-A/V) are used.Results: It was observed that most of the videos were uploaded by non-academic health institutions (36%) and health professionals (23%). When the content of the videos was evaluated, it was determined that general care strategies were the most common content with 52%. Scores indicating high levels of reliability and accuracy were determined on all applied content quality scales. Videos sourced from academic healthcare institutions were found to have the highest scores on content quality scales. In correlation analyses, video metrics such as duration, view ratio, number of comments, and video power index values were positively correlated with content quality scores.Conclusion: Videos about dementia patient care on YouTube generally exhibit high popularity and content quality. Individuals seeking information about dementia care on online platforms should be directed to videos uploaded by healthcare institutions.

Objective The treatment of acromioclavicular joint (ACJ) dislocations offers numerous options, and ongoing debates persist regarding their comparative effectiveness. Among these options, the suspensory loop device (SLD) is one of the most favored treatment modalities. Despite the observed high reduction loss rate associated with SLD, the treatment yields favorable clinical outcomes. This study aimed to investigate the clinical outcomes of patients with acute type 3 and 5 ACJ dislocations who underwent open and arthroscopic procedures using a single‐bundle SLD, and to evaluate the effect of clavicular tunnel position on reduction loss. Methods Thirty‐seven eligible patients diagnosed with acute type 3 and type 5 ACJ dislocation who underwent open and arthroscopic surgery with a single‐bundle SLD between January 2015 and March 2022 were evaluated retrospectively. Demographic data and radiological measurements including coracoclavicular (CC) interval, clavicle length (CL), and implant distance (ID) were recorded. The ID/CL ratio was calculated and a value between 0.17 and 0.24 was considered as “acceptable implant position”. Reduction loss and other complications were noted. Patients were divided into two groups: open (Group 1) and arthroscopic (Group 2). Constant Murray Score (CMS) and Visual Analog Scale (VAS) were used for clinical and functional outcomes. Non‐parametric tests were used for statistical analysis of variables. Results The study included six females (16.2%) and 31 males (83.8%) with a mean age of 40.2 ± 14.7 years (range: 20–75). The mean follow‐up period was 22.3 ± 16.7 months (range: 6–72). The average time from trauma to surgery was 6.3 ± 5.3 days (range: 1–18). At the last follow‐up, the CMS was 89.3 ± 8.8 and the VAS score was 2.1 ± 0.9. The mean ID/CL ratio was 0.19 ± 0.1 and 19 patients (51.4%) were between 0.17 and 0.24. Reduction loss was observed in nine patients (24.3%). There were no significant differences between Group 1 and Group 2 regarding operation time (p = 0.998), ID/CL ratio (p = 0.442), reduction loss (p = 0.458), CMS (p = 0.325), and VAS score (p = 0.699). Of the 28 patients without reduction loss, 16 had an ID/CL ratio between 0.17 and 0.24 (p = 0.43). Furthermore, within the 0.17–0.24 interval, CMS was higher with an average of 91.8 ± 5.1 compared to the other intervals (p = 0.559). Conclusion The clinical and functional outcomes of acute type 3 and type 5 ACJ dislocation operated open and arthroscopically with single‐bundle SLD are similar and satisfactory. A clavicular tunnel position in the range of 0.17–0.24 (ID/CL ratio) is recommended to maintain postoperative reduction.

ABSTRACT:COVID-19 has altered many aspects of daily life, notably impacting shopping methods. This study examines how these changes affect consumer behavior, focusing on norm sensitivity, risk perception, and digital advertising. The purpose of this research is to understand the role of norm sensitivity, risk perception, and digital advertising as mediators in the relationship between COVID-19 and changes in consumer behavior. Qualitative data is collected from online meetings with 41 participants aged between 19 and 52 and it is analyzed by using MAXQDA. The unique aspect of this study is its qualitative approach and having a relatively large sample size compared to typical qualitative studies. The findings indicate higher sensitivity towards online shopping during COVID-19, perceiving traditional face-to-face shopping as risky mostly due to virus transmission, increased trust in digital channels, the undeniable effects of digital advertisements on purchasing, and the importance of making research before shopping. Furthermore, the findings revealed that shopping methods shifted from traditional face-to-face to online shopping during COVID-19 even in the early times of the pandemic. Based on these findings, businesses should prioritize enhancing their online shopping experiences by improving website usability and security measures. They may also implement safety protocols in physical stores to alleviate consumer concerns. Leveraging targeted digital advertising strategies and investing in consumer research can help businesses adapt to evolving consumer preferences and behaviors. ÖZ:COVİD-19, günlük yaşamın birçok yönünü etkilemiş özellikle de alışveriş yöntemlerini değiştirmiştir. Bu çalışma, tüketici davranışı eğilimlerinin nasıl etkilediğini norm duyarlılığı, risk algısı ve dijital reklamları odağına alarak incelemektedir. Bu araştırmanın amacı, COVİD-19 ile tüketici davranışı eğilimlerindeki değişiklikler arasındaki ilişkide norm duyarlılığı, risk algısı ve dijital reklamların aracı rolünü anlamaktır. Bu bağlamda nitel veriler, 19 ile 52 yaş arasındaki 41 katılımcıdan çevrimiçi olarak toplanmış ve MAXQDA programı kullanılarak analiz edilmiştir. Bu çalışmanın özgün yanı konuyu nitel olarak ele alması ve nitel bir çalışmaya göre yüksek bir örneklem büyüklüğüne sahip olmasıdır. Bulgular, COVİD-19 döneminde çevrimiçi alışverişe karşı artan duyarlılık olduğunu, geleneksel yüz yüze alışverişi virüs bulaşma riski nedeniyle genellikle riskli olarak algılandığını, dijital kanallara artan güveni, dijital reklamların satın almaya olan tartışmasız etkilerini ve alışveriş öncesi araştırma yapmanın önemini göstermektedir. Ayrıca, bulgular, alışveriş yöntemlerinin COVİD-19’un erken dönemlerinde bile geleneksel yüz yüze alışverişten çevrimiçi alışverişe kaydığını ortaya koymuştur. Bu bulgulara dayanarak, işletmelerin çevrimiçi alışveriş deneyimlerini iyileştirerek web sitesi kullanılabilirliğini ve güvenlik önlemlerini artırmasının faydalı olabileceği düşünülmektedir. Ayrıca, tüketicilerin endişelerini hafifletmek için fiziksel mağazalarda güvenlik protokolleri uygulayabilir ve sürdürebilirler. Dijital reklam stratejilerini kullanmak ve tüketici araştırmasına yatırım yapmak, işletmelerin değişen tüketici tercihlerine ve davranışlarına uyum sağlamasına yardımcı olabilir.

Abstract Stroke triggers a systemic inflammatory response over the ensuing days after the cerebral insult. The age and comorbidities of the stroke population make them a vulnerable population for low muscle mass and sarcopenia, the latter being another clinical condition that is closely associated with inflammation, as shown by increased levels of pro-inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR). In this study, we evaluated the relationship between post-stroke NLR changes and muscle mass in a prospective cohort of acute ischemic stroke patients (n = 102) enrolled in the Muscle Assessment in Stroke Study Turkey (MASS-TR). Admission lumbar computed tomography images were used to determine the cross-sectional muscle area of skeletal muscles at L3 vertebra level and calculate the skeletal muscle index (SMI). The median (IQR) SMI was 44.7 (39.1–52.5) cm2/m2, and the NLR at admission and follow-up were 4.2 (3.0–10.5) and 9.4 (5.7–16.2), respectively. While there was no relationship between SMI and admission NLR, a significant inverse correlation was observed between SMI and follow-up NLR (r = − 0.26; P = 0.007). Lower SMI remained significantly associated (P = 0.036) with higher follow-up NLR levels in multivariate analysis. Our findings highlight the importance of muscle mass as a novel factor related to the level of post-stroke stress response.

Abstract. Background:. Dual-energy computed tomography (DECT) is purported to accurately distinguish uric acid stones from non-uric acid stones. However, whether DECT can accurately discriminate ammonium urate stones from uric acid stones remains unknown. Therefore, we aimed to explore whether they can be accurately identified by DECT and to develop a radiomics model to assist in distinguishing them. Methods:. This research included two steps. For the first purpose to evaluate the accuracy of DECT in the diagnosis of uric acid stones, 178 urolithiasis patients who underwent preoperative DECT between September 2016 and December 2019 were enrolled. For model construction, 93, 40, and 109 eligible urolithiasis patients treated between February 2013 and October 2022 were assigned to the training, internal validation, and external validation sets, respectively. Radiomics features were extracted from non-contrast CT images, and the least absolute shrinkage and selection operator (LASSO) algorithm was used to develop a radiomics signature. Then, a radiomics model incorporating the radiomics signature and clinical predictors was constructed. The performance of the model (discrimination, calibration, and clinical usefulness) was evaluated. Results:. When patients with ammonium urate stones were included in the analysis, the accuracy of DECT in the diagnosis of uric acid stones was significantly decreased. Sixty-two percent of ammonium urate stones were mistakenly diagnosed as uric acid stones by DECT. A radiomics model incorporating the radiomics signature, urine pH value, and urine white blood cell count was constructed. The model achieved good calibration and discrimination {area under the receiver operating characteristic curve (AUC; 95% confidence interval [CI]), 0.944 (0.899–0.989)}, which was internally and externally validated with AUCs of 0.895 (95% CI, 0.796–0.995) and 0.870 (95% CI, 0.769–0.972), respectively. Decision curve analysis revealed the clinical usefulness of the model. Conclusions:. DECT cannot accurately differentiate ammonium urate stones from uric acid stones. Our proposed radiomics model can serve as a complementary diagnostic tool for distinguishing them in vivo.

Objective: To compare the diagnostic performance for the detection of clinically significant prostate cancers and interobserver agreement between PI-RADS v2 and v2.1 Material and Method: The mpMRI images of 258 patients and 394 nodüles included in this retrospective study were obtained on 3T MR and evaluated by two radiologists according to PI-RADS v2 and v2.1. Sensitivity and specificity between v2 and v2.1 compared. Detection rates for clinically significant prostate cancers of upgraded and downgraded lesions in the use of v2.1 from v2 were assessed. Interobserver agreement was assessed using κ statistics. Results: PI-RADS v2.1 and v2 showed higher sensitivity and lower specificity (100%, 52.38%) in peripheral zone and showed higher sensitivity and specificity (92.86%, 98.79%) in transition zone for category ≥4 lesions in the detection of csPCa, not significantly difference was found between the two versions. Interobserver agreement was statistically significant and very weak in the transition zone (κ=0.383, κ=0.279, respectively), very strong in the peripheral zone (κ=0.869) according to both classifications and they were similar. Conclusion: The diagnostic performance of PI-RADS v2 and v2.1 were found similar in detecting clinically significant cancers and all cancers in both zones. The clinically significant cancer detection rate in category 2+1 lesions in the transition zone was higher than in category 2 lesions but it wasn’t statistically significant. Interobserver agreement was low in the transition zone and very strong in the peripheral zone in both versions.

Tarihte yasa(lar) konusu geçmişte bazı din adamları, filozof ve sosyal bilimcilerin ilgisini çekmiş ve bunlar bu alanda önemli entelektüel çabalar ortaya koymuşlardır. Söz gelimi Augustinus, Comte, Durkheim, Hegel, Marx, Spencer gibi düşünürler tarihin akışını belirleyen genel ilkeler konusunda çeşitli yaklaşımlar ortaya koymuşlardır. Örneğin Augustinus’a göre tarih, Tanrı’nın insanı yaratmasıyla başlamış olan ve insanın kurtuluşuyla son bulacak olan bir akıştır. Comte’a göre tarih düşünsel bir evrime tabi olup insanlık tarihi üç aşamadan (teolojik, metafizik, pozitivist) geçmektedir. Hegel’e göre ise tarih insanlığın düşüncesinin diyalektik bir düzlemde sürekli gelişmesini ifade etmektedir. Marx açısından tarih bir sınıf savaşları tarihi olup belirli aşamalardan geçmekte (ilkel komünal, feodal, köleci, kapitalist) ve tarihin sonunda sınıfsız bir toplum (sosyalist) teşekkül edecektir. Spencer da tarihi evrimsel bir çizgide okuyan düşünürlerden biridir. Ona göre tarih bir evrime tabi olup sürekli ilerlemektedir. Tüm bu yaklaşımların ortak niteliği tarihin belirli hedeflere doğru yürüyen yasalarının olduğu fikridir. İbn Haldun’da da bu yönde bir yaklaşımın mevcut olduğu görülmektedir. Ona göre tarih iki boyutlu bir yapıya sahiptir. Çizgisel ve döngüsel. Bu, tarihin yasasıdır. Keza ona göre tarih belirli bir yöne doğru da hareket etmektedir. Tarihin yönünü belirleyen dinamikler ise şehirleşme ve sekülerleşmedir. İbn Haldun’a göre insanlığın ilk yaşam formu olan göçebelik (bedevilik) şehirleşmeye (hadarilik) doğru evrilmektedir. Bununla birlikte ve şehirleşmeye paralel olarak tarihin başlangıcında hayatın hemen hemen her alanını kuşatan (gerek teorik gerekse de pratik alanlarda) din, kurumsal bir farklılaşmaya ve daralmaya uğrayarak diğer bilgi ve yaşam alanlarının ortaya çıkmasıyla kendi öz alanına çekilmektedir. Bu süreç sekülerleşmeyi tanımlayan önemli bir unsuru (kurumsal/yapısal farklılaşma) ifade etmektedir. Dolayısıyla İbn Haldun düşüncesinde şehirleşme ve sekülerleşme süreçlerinin tarihsel birer yasa olarak görüldüğü söylenebilir.

The high potential of nuclear power to combat climate change and support sustainable development plays a critical role in achieving the goal of the Paris Agreement. Moreover, with the ever-increasing demand for electricity, it is essential to consider nuclear power as a reliable source of energy. However, it should be noted that although the risk of a radiological accident is small, it always exists, and therefore it is crucial to have a complete understanding of the management of nuclear power. Herein, we present a statistical review of nuclear accident research at Chernobyl and Fukushima Nuclear Power Plants using bibliometric analysis to identify key patterns in scientific results and current issues in accident research. More than 10,000 articles have been collected from the SCOPUS database covering the periods 1986–2022 and 2011–2022 on Chernobyl and Fukushima, respectively. The results were obtained from two perspectives: first, we identified stages through which pre- and post-accident researches have evolved, and then we analysed the spatial correlation between energy-economic performance and scientific literature for the leading productive countries. From the analysis of research trends, it was found that the number of articles increased sharply immediately after the accident and slightly decreased over time. Among the most attractive subject categories in terms of the largest number of publications and received citations were environmental sciences, medicine and energy policy. The productive country ranking was mostly topped by the country in which the accident occurred. Spatial statistical analysis revealed a strong correlation between the scientific productivity and energy-economic performance of the leading countries.

Industrial control systems (ICSs) are critical components automating the processes and operations of electromechanical systems. These systems are vulnerable to cyberattacks and can be the targets of malicious activities. With increased internet connectivity and integration with the Internet of Things (IoT), ICSs become more vulnerable to cyberattacks, which can have serious consequences, such as service interruption, financial losses, and security hazards. Threat actors target these systems with sophisticated attacks that can cause devastating damage. Cybersecurity vulnerabilities in ICSs have recently led to increasing cyberattacks and malware exploits. Hence, this paper proposes to develop a security solution with dynamic and adaptive deceptive patching strategies based on studies on the use of deceptive patches against attackers in industrial control systems. Within the present study’s scope, brief information on the adversarial training method and window size manipulation will be presented. It will emphasize how these methods can be integrated into industrial control systems and how they can increase cybersecurity by combining them with deceptive patch solutions. The discussed techniques represent an approach to improving the network and system security by making it more challenging for attackers to predict their targets and attack methods. The acquired results demonstrate that the suggested hybrid method improves the application of deception to software patching prediction, reflecting enhanced patch security.

In the Vase system, the most common training system for peach-growing countries for more than a century, light distribution to the canopy is uneven, and access to the canopy for pruning, thinning, and harvest labor is difficult. It is important to identify alternative systems to the Vase system considering the cultivar and growing environment to facilitate labor and enhance productivity and quality. In Türkiye, one of the important centers of peach growing worldwide, detailed research has yet to be published on the applicability of training systems alternative to the widely used Vase system. Therefore, this study aimed to evaluate the effect of different training systems (Vase, Catalan Vase, Quad-V, Tri-V) on growth, yield, fruit quality, and labor costs of peach cultivars (Extreme® 314, Extreme® 436, Extreme® 568). The experiment was conducted from 2017 to 2022. Although the distance between rows in all training systems is 5 m, the distance between trees on the row is determined as 4 m in Vase, 3 m in Catalan Vase, 2.5 m in Quad-V, and 2 m in Tri-V. In the experiment, vegetative development parameters, such as canopy volume, trunk sectional area, and the amount of winter pruning weights, differed according to the training system. In the final year, the Vase system, which produces the most pruning weight, generates 48.0% more pruning weight compared with the Tri-V system, which produces the least. Concerning yield per tree and hectare, trained to the Vase system yielded higher fruit per tree regardless of cultivar, while the Quad-V and Tri-V systems yielded more fruit per hectare. The training system and cultivar affected the fruit size; the largest fruits were obtained from the Extreme® 568 cultivar trained according to the Vase system. The most time needed for winter pruning was obtained from the Vase (79.4 min/tree) system, and the Tri-V (57.4 min/tree) and Quad-V (60.3 min/tree) systems required the least time. The Catalan Vase (31.1 min/tree) system required the least time for summer pruning. The most fruit harvest in an hour was obtained from the trees trained according to the Tri-V (164.5 kg/h) and Quad-V (132.02 kg/h) systems. These results suggest that Quad-V and Catalan Vase systems performed well and could be alternatives to the Vase system.

This study models milk product processing and sustainable of the shelf-life extension in a dairy factory using artificial intelligence. The Cappadocia dairy factory was used to study chemical processes and computational system modeling and simulation. Levenberg–Marquardt algorithm was used to create an artificial neural network model from real-time data. An AI-based method utilizing a Multilayer Perceptron (MLP) Artificial Neural Network (ANN) model was employed to precisely analyze productivity data in dairy factories. There are 9 product types and production quantities used as input parameters, and 90 datasets of actual dairy products used as output values. The model was trained using the Levenberg–Marquardt algorithm on 62 datasets for training, 14 for validation, and 14 for testing. The accuracy of the model is affected by the optimal data segmentation. The model showed how AI algorithms can improve processes and industrial production by increasing dairy production efficiency from 20 to 40%. Model efficiency values were compared to observed values to determine prediction accuracy. Model mean squared error was 4.02E-06, and coefficient of determination was 0.99984. Model efficiency predictions and observed values differed by −0.04% on average. This study investigated using artificial intelligence to optimize salvage processes and systems to increase energy efficiency and reduce environmental impact. The results show that a neural network model trained with real data can predict dairy plant productivity.

The purpose of the present study is to determine the effectiveness of creative narrative technique on students' listening comprehension skills. The current study employed action research. The study group consists of 21 second grade students, six of whom were refugee students, at second grades in the school chosen through convenience sampling. In the study, the activities were conducted through 4 tales from Aesop Tales. It has been observed that creative narrative technique fosters students' listening comprehension skills. Through the technique, students were able to adapt the place, plot, time, characters and topic of the tales they listened into daily life. The technique helps students make interdisciplinary correlations in consistency with the philosophy of constructivist learning and to improve their creative writing skills. It has been concluded that creative narrative technique enhances students' listening and creative writing skills.

Literacy is a term generally used for adults and young people. Basically, it is an acquisition that includes the process of reading, writing and understanding symbols in any language. While this concept, whose definition and scope has expanded over time, refers to people who can only say their names in the past, today it refers to individuals who can perform more functional skills. What is expected from today's literacy, which is also referred to as functional literacy, is not just saying the name, but also understanding what you read and harmonizing these information with the environment. It is critical to create texts that are easier to interpret, especially for poor readers and individuals learning foreign languages, in today's world where reading comprehension and correct use of information have become extremely important. In this context, the text simplification method, which is one of the text modification methods, comes to the fore. In accordance with these information, this current study aims to presents the bibliometric analysis of articles on text simplification, which are published in journals indexed in Scopus database in the field of social sciences. The data set of the study consists of 194 articles on text simplification published in journals scanned in the field of social sciences and scopus database. These 194 articles were examined in terms of different variables. The research is generally a descriptive study and document analysis method was used as a method. In the data analysis stage of the research, VOSviewer visualization software version 1.6.16 was used. According to the results obtained from the study, the most articles on text simplification were written in 2020 (f: 21), most cited article is "Interpretation as Abduction" (f: 363) written by J.R Hobbs, M.E Stickel, D.E. Appelt and P. Martin. Findings obtained from the research were shared in the form of tables, graphs and figures. The most common keywords that preffered by authors is "Simplification" (f: 18). The most cited institution is "Artifical Intelligence Center" (f: 363). The most cited journal is "Artifical Intelligence" (f: 363). The most published country is United States of America (f: 30). The most cited country is United States of America (f: 863). All findings obtained from the research were shared as tables and figures in the findings section.

A Sportsmanship is a concept defined as the awareness of having the values required by sports and the golden key of sports activities. Family attitude and gender are thought to be among the concepts that affect sportsmanship. In this study, it was aimed to examine sportsmanship behavior with family attitude and gender characteristics. The research group consisted of 300 students randomly selected from the secondary schools in the city center of Antalya in the 2018-2019 education year, with a mean age of 12.48 ± 79. In the research conducted with the screening model, the "Physical Education Course Sportsmanship Behavior Scale (BEDSDÖ)" developed by Koç (2013) and a personal information form were used as data collection tools. In the analysis of the data, frequency, percentage, arithmetic mean and standard deviation were used as descriptive statistics methods for personal information. As the data showed normal distribution, the t-test for paired groups and the Anova test for multiple comparisons was used. According to the findings, it was determined that the sportsmanship behaviors of the students were at a high level. A statistically significant difference was found in favor of female students in the sub-dimensions of displaying appropriate behavior according to gender and avoiding inappropriate behavior and in the total of the scale. While there was no statistically significant difference in the dimension of exhibiting appropriate behavior according to the family attitudes of the students, the scores of the students who showed democratic family attitude were higher than the scores of the children of the families with free attitudes in the dimension of avoiding inappropriate behavior and in the total of the scale. When the sportsmanship behavior scores of secondary school students were examined, it was observed that the scores of the female students were higher than the male students. It is thought that changing family attitudes will improve the sportsmanship behaviors of the society.

The number of international university students in Turkey is growing, thus more research is needed on teaching Turkish as an academic language and on academic literacy. This study aims to investigate (i) the international students' views of the difficulties of the academic language skills, (ii) the efficacy level of the skills for their academic success, (iii) the academic listening and academic literacy status of the students, and (iv) the relationship between academic listening levels with some variables. In order to analyse the self-efficacy perceptions of the students, the data were collected by using the Turkish adaptation (Cronbach's alpha value =0.943) of the Academic Listening Self-rating Questionnaire (ALSAQ), developed by Aryadoust and Goh (2017) and adopted by Ellialti and Batur (2021). The questionnaire consists of 39 items that embody six factors. These factors are lecture structure, cognitive processing skills, linguistic components and prosody, relating input to other materials, memory and concentration, and note-taking. In the study, the participants were 221 international students studying at various academic programs in 33 state universities in Turkey. The data were analysed by Statistical Package for the Social Sciences (SPSS) program. The results of the study showed that (i) listening is an easy skill for students to develop, (ii) listening is important for the students' academic success, (iii) out of 39 items, 13 aspects were not at a good level in academic listening, and (iv) academic listening levels of the international students were not significantly different in terms of their gender, study area, and the number of the known languages.

The linker histone H1 C‐terminal domain (CTD) plays a pivotal role in chromatin condensation. De novo frameshift mutations within the CTD coding region of H1.4 have recently been reported to be associated with Rahman syndrome, a neurological disease that causes intellectual disability and overgrowth. To investigate the mechanisms and pathogenesis of Rahman syndrome, we developed a cellular model using murine embryonic stem cells (mESCs) and CRISPR/Cas9 genome engineering. Our engineered mES cells facilitate detailed investigations, such as H1‐4 dynamics, immunoprecipitation, and nuclear localization; in addition, we tagged the mutant H1‐4 with a photoactivatable GFP (PA‐GFP) and an HA tag to facilitate pulldown assays. We anticipate that these engineered cells could also be used for the development of a mouse model to study the in vivo role of the H1‐4 protein.

The field of algorithmic trading, driven by deep learning methodologies, has garnered substantial attention in recent times. Within this domain, transformers, convolutional neural networks, and patch embedding-based techniques have emerged as popular choices within the computer vision community. Here, inspired by the latest cutting-edge computer vision methodologies and the existing work showing the capability of image-like conversion for time-series datasets, we apply more advanced transformer-based and patch-based approaches for predicting asset prices and directional price movements. The employed transformer models include Vision Transformer (ViT), Data Efficient Image Transformers (DeiT), and Swin. We use ConvMixer for a patch embedding-based convolutional neural network architecture without a transformer. Our tested transformer-based and patch-based methodologies aim to predict asset prices and directional movements using historical price data by leveraging the inherent image-like properties within the historical time-series dataset. Before the implementation of attention-based architectures, the historical time series price dataset is transformed into two-dimensional images. This transformation is facilitated through the incorporation of various common technical financial indicators, each contributing to the data for a fixed number of consecutive days. Consequently, a diverse set of two-dimensional images is constructed, reflecting various dimensions of the dataset. Subsequently, the original images depicting market valleys and peaks are annotated with labels such as Hold, Buy, or Sell. According to the experiments, trained attention-based models consistently outperform the baseline convolutional architectures, particularly when applied to a subset of frequently traded Exchange-Traded Funds (ETFs). This better performance of attention-based architectures, especially ViT, is evident in terms of both accuracy and other financial evaluation metrics, particularly during extended testing and holding periods. These findings underscore the potential of transformer-based approaches to enhance predictive capabilities in asset price and directional forecasting. Our code and processed datasets are available at https://github.com/seferlab/price_transformer.