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Türk sigorta sektörünün dünya sigorta piyasasındaki yeri
Full text linkBu tez çalışması, Türk sigorta sektörünün dünya sigorta piyasasındaki yerini analiz ederek, sektörün mevcut durumu, güçlü ve zayıf yönleri ile küresel rekabet gücünü artırmaya yönelik öneriler sunmaktadır. Çalışmanın kapsamı, hem dünya çapındaki sigorta sektörü dinamiklerini hem de Türkiye özelinide kapsayarak, penetrasyon oranları, pazar büyüklüğü, piyasa payları ve sektör yoğunlaşması gibi temel metrikler üzerinden bir değerlendirme yapılmıştır. Ayrıca dijitalleşme, inovasyon ve sürdürülebilirlik gibi modern sigortacılık trendlerinin Türkiye'deki gelişimi ve özellikleri incelenmiştir. Bu çalışma, Türk sigorta sektörünün Dünya sigorta piyasasıyla karşılaştırmalı olarak gelişmesini ve büyüme potansiyelini ortaya koymak amacıyla yapılmıştır. Sigorta sektörünün, ekonomik olarak büyüyüklüğü ve ekonomiye sunacağı katkılar ele alınarak, sektörel büyümenin önemi ve gerekliliği ele alınmıştır. Araştırmanın önemi, Türkiye'nin ekonomik büyüklüğü ile sigorta sektörü arasındaki uyumsuzluk analiz edilerek, dünya sigorta sektöründe rekabet gücünü artıracak adımların belirlenmesine katkı sağlanması amaçlanmaktadır. Bu Çalışmada, literatür taraması, sektörel veri analizi ve karşılaştırmalı yöntemler kullanılmıştır. Herfindahl-Hirschman Endeksi (HHI) gibi yoğunlaşma ölçütleri, penetrasyon oranları ve pazar büyüklüğü analizleri gibi teknikler uygulanmıştır. Veriler, Türk Sigorta ve Reasürans Şirketleri Birliği (TSB), OECD, Swiss Re ve Allianz SE gibi kaynaklardan derlenmiştir. Ayrıca, grafik ve tablolarla desteklenen kapsamlı bir veri analizi yapılmıştır. Araştırmanın bulguları, Türkiye'nin sigorta sektörünün penetrasyon oranlarının ve kişi başına düşen sigorta harcamalarının dünya ortalamalarının altında kaldığını; ancak sağlık ve hayat sigortalarına olan talebin artması ve dijitalleşme süreçlerine adaptasyonun sektörün büyüme potansiyelini artırdığını göstermektedir. Ayrıca, küresel ekonomik belirsizliklerin ve enflasyonun sektörel büyüme üzerinde olumsuz etkileri olduğu belirlenmiştir. Sonuç olarak, Türk sigorta sektörünün dünya sigorta piyasasındaki yerini iyileştirmek için, regülasyonların güçlendirilmesi, dijitalleşme süreçlerinin hızlandırılması, sigorta bilincinin artırılması ve yeni ürün geliştirme stratejilerinin uygulanması gerektiği sonucuna ulaşılmıştır. Bu bağlamda, sektörel büyüme hedefleri için ulusal ve uluslararası iş birliklerinin artırılması, eğitim programlarının desteklenmesi ve sürdürülebilir sigortacılık anlayışının benimsenmesi önerilmiştir.This thesis analyzes the current status of the Turkish insurance sector among world insurers, and offers suggestions to increase global competitiveness with strong and weak changes. The scope of the study covers both the dynamics of the insurance sector worldwide and Turkey in particular, and an evaluation has been made on basic metrics such as penetration rates, market size, market shares and sector concentration. In addition, the development and characteristics of modern insurance trends such as digitalization, innovation and sustainability in Turkey have been examined. This study was conducted to reveal the comparative development and growth potential of the Turkish insurance sector with the world insurance market. The economic size of the insurance sector and its contributions to the economy have been addressed, and the importance and necessity of sectoral growth have been addressed. The importance of the research is to analyze the inconsistency between Turkey's economic size and the insurance sector, and to contribute to the determination of steps that will increase competitiveness in the world insurance sector. In this study, literature review, sectoral data analysis and comparative methods have been used. Techniques such as concentration measures such as the Herfindahl-Hirschman Index (HHI), penetration rates and market size analyses were applied. The data was compiled from sources such as the Association of Turkish Insurance and Reinsurance Companies (TSB), OECD, Swiss Re and Allianz SE. In addition, a comprehensive data analysis supported by graphs and tables was conducted. The findings of the research show that the penetration rates and per capita insurance expenditures of Turkey's insurance sector remain below world averages; however, the increase in demand for health and life insurance and adaptation to digitalization processes have increased the growth potential of the sector. In addition, it was determined that global economic uncertainties and inflation have negative effects on sectoral growth. As a result, it was concluded that in order to improve the position of the Turkish insurance sector in the global insurance market, regulations should be strengthened, digitalization processes should be accelerated, insurance awareness should be increased and new product development strategies should be implemented. In this context, it was suggested that national and international collaborations should be increased for sectoral growth targets, training programs should be supported and a sustainable insurance approach should be adopted
Comparison of functionality, mood, and biopsychosocial status in rheumatic patients with and without self-reported bowel problems and the evaluation of BETY's impact on these factors: A retrospective study
Full text linkObjective: This retrospective study aimed to evaluate the comparison of functionality, mood, and biopsychosocial status in rheumatic patients with and without self-reported bowel problems and the evaluation of Bili & scedil;sel Egzersiz Terapi Yakla & scedil;& imath;m & imath; (BETY) - (Cognitive Exercise Therapy Approach in English)'s impact on these factors. Methods: The study included 718 patients with eight different diagnoses of rheumatism. The presence of self-reported bowel problems in rheumatic patients was assessed with item 10 of the BETY-Biopsychosocial Questionnaire (BETY-BQ), functionality with the Health Assessment Questionnaire (HAQ), emotional status with the Hospital Anxiety and Depression Scale (HADS), and biopsychosocial status (BPS) with the BETY-BQ. Sixty-five rheumatic patients were included in BETY group exercise sessions for 3 months, 3 days a week. Results: The rate of self-reporting bowel problems in the total cohort was 61.6%. Among all BPS parameters examined, a significant difference was found in favor of rheumatic individuals who did not report bowel symptoms (p <.005). All patients included in the BETY sessions achieved improvement in all parameters, including bowel symptoms (p <.005). Conclusions: Many patients suffered from bowel problems. The investigated parameters of rheumatic patients with bowel symptoms were negatively affected. BETY improved all parameters, including bowel symptoms. BPS features should be considered in disease management in rheumatic patients reporting bowel problems. BETY should be used as an exercise intervention based on the BPS model in these patients
Developing a novel layer network structure for a LSTM model to predict mean monthly river streamflow
No full textIn this research, novel innovative DDN layer network structures by hybridizing double-LSTM model with an addition layer (+) (i.e., 2LSTM and 2LSTM + layer network models) are developed purposefully to enhance prediction performance of the mean monthly Maroon River streamflow (MRSFm) in Iran from October 1987 to September 2017. For doing so, to select the most effective parameters on MRSFm, the Pearson’s correlation coefficient (PCC) and Cosine amplitude sensitivity (CAS) as features selection process are carried out for potential meteorological variables in the study area (i.e., average monthly temperature (Tm), evaporation (ETm), and precipitation (Pm)) and target (MRSFm). The results show that Tm and ETm have an insignificant influence on MRSFm, thus, only Pm is used as the most effective input variable in predicting MRSFm. Due to a well-balanced network model’s structural outline in the suggested novel hybrid 2LSTM + model, it accordingly yields to a suitable total learnable parameter (TLP) compared to ordinary standalone LSTM and GRU as the benchmark models developed in the similar meta-parameters. This model under the optimal meant meta-parameters tuned i.e., state activation functions (SAF) = tanh-softsign, numbers of hidden neurons (NHN) = 75, dropout rate (P-rate) = 0.5, performs best among the models with an R2 of 0.68, NSE of 0.63, PBIAS of 41%, KGE of 0.79, and RMSE of 19.24 m3/s. Comparatively, a standard gated recurrent units (GRU) and LSTM as benchmark models using the optimal scenario generate the following results: R2 are 0.57 and 0.67, NSE are 0.53 and 0.61, PBIAS are 109 and 49%, KGE are 0.63 and 0.79, and RMSE are 21.11 and 19.32 m3/s, respectively. Generally, in all models, in the equal NHN, rising P-rate value reduces convergence time. © The Author(s) 2025
Green Transformational Leadership, Creativity, and Organizational Culture: A Structural Model of Pro-Environmental Behavior in an Emerging Cosmetics Market
Full text linkUnderstanding the behavioral foundations of green transformation within firms requires attention to both leadership processesand the motivational mechanisms that shape employee action. Drawing on transformational leadership theory, the resource-based view, and self-determination theory, this study investigates how green transformational leadership (GTL) relates to pro-environmental behavior (PEB) through the creative and contextual conditions that support intrinsic motivation. Survey datafrom 1063 employees in the Turkish cosmetics industry were analyzed using structural equation modeling. The results indicatethat green creativity (GC) transmits the influence of GTL on PEB, whereas green organizational culture (GOC) strengthens theconditions under which this influence is expressed. These findings clarify how leadership, creativity, and cultural support jointlyunderpin employees' environmental engagement. The study contributes to research on organizational greening by highlight-ing the motivational and contextual pathways through which leadership encourages sustainable behavior in emerging marketsettings
Koroner arter baypas greft cerrahisi uygulanan hastalara bakım paketi uygulamasının deliryumu önlemedeki etkisinin belirlenmesi
Full text linkDeliryumu önlemede non-farmakolojik yöntemlere dair kanıtlar artarken, kulak tıkacı, müzik dinletisi ve kesintisiz aile varlığını içeren bir bakım paketinin etkinliği daha önce test edilmemiştir. Bu çalışma, koroner arter baypas greft cerrahisi geçiren hastalarda, bu üç müdahaleden oluşan bakım paketinin deliryumu önlemedeki etkisini değerlendirmek amacıyla gerçekleştirilmiştir. Araştırma izni Hasan Kalyoncu Üniversitesi Lisansüstü Eğitim Enstitüsü'nden (Onay No: 2023/11) ve etik onay Gaziantep Üniversitesi Klinik Araştırmalar Etik Kurulu'ndan (Onay No: 2023/187) alındı. Çalışma, Gaziantep Medical Point Hastanesi'nde 94 hasta üzerinde yürütülmüştür. Çalışma Grubu'na (n=47) bakım paketi uygulanırken, Kontrol Grubu'nda (n=47) standart klinik bakım sürdürülmüştür. Ölçümler ameliyat öncesi (T0) ve ameliyat sonrası üç zaman noktasında (T1, T2, T3) yapılmıştır. Deliryum değerlendirmesi DSM-V kriterlerine göre bir nöroloji uzmanı tarafından gerçekleştirildi, CAM-ICU ve diğer ölçümler yoğun bakım hemşiresi tarafından yapıldı. Kortizol, ACTH ve Glukoz düzeyleri için alınan kan örnekleri uluslararası standartlara uygun olarak analiz edildi. Veriler SPSS 22.0 programı ile t-testi, Mann Whitney U ve Ki-Kare gibi istatistiksel yöntemler kullanılarak analiz edilmiştir. p<0.05 değeri istatistiksel anlamlılık kriteri olarak kabul edildi. Bulgulara göre, DSM-V deliryum yanı kriterlerine göre deliryum tanısı alan hastaların insidansı ÇG'nda %27,66 KG'nda ise %57.45; CAM-ICU ile değerlendirilen deliryum insidansı Çalışma Grubu'nda %29.79, Kontrol Grubu'nda %53.19 olarak tesbit edildi. Kaygı seviyeleri ÇG'nda (3.2 ± 0.8) KG'nda (4.7 ± 1.1) anlamlı derecede düşük çıkmıştır (p=0.002). T2 ölçümlerinde kortizol düzeyleri ÇG'nda 15.4 µg/dL, KG'nda 21.6 µg/dL (p=0.012); ACTH seviyeleri ise sırasıyla 32.8 pg/mL ve 40.5 pg/mL olarak saptandı (p=0.034). RCUÖ uyku kalitesi puanı ÇG'nda anlamlı derecede yüksek bulunmuştur (62.7 ± 6.2) (p<0.001). Yapısal eşitlik modellemesi ile, bakım paketinin; uyku kalitesini artırdığı (β=0.52, p<0.001), Serum Kortizol (β=-0.45, p<0.001) ve Serum ACTH seviyelerini (β=-0.38, p<0.001) azalttığı ve kaygıyı düşürdüğü (β=-0.60, p<0.001) belirlendi. Uyku kalitesinin deliryumu önlemedeki dolaylı etkisi (β=-0.40, p<0.001) ve kaygının deliryum üzerindeki dolaylı etkisi (β=0.55, p<0.001) anlamlı bulundu. Bakım paketinin deliryumu doğrudan azaltma etkisi de istatistiksel olarak anlamlıdır (β=-0.50, p<0.001). Sonuç olarak, kesintisiz aile varlığı, müzik dinletisi ve kulak tıkacı kullanımını içeren deliryumu önleyici bakım paketinin uygulanmadı, deliryum insidansını azaltmada, kaygıyı düşürmede ve uyku kalitesini artırmada etkili bulundu.Non-pharmacological methods for preventing delirium are gaining evidence; however, the effectiveness of a care package, including earplugs, music therapy, and uninterrupted family presence, has not been previously tested. This study aimed to evaluate the effectiveness of a care package consisting of earplugs, music therapy, and uninterrupted family presence in preventing delirium in patients undergoing coronary artery bypass graft surgery. Research permission was obtained from the Hasan Kalyoncu University Graduate Education Institute (Approval No: 2023/11), and ethical approval was granted by the Gaziantep University Clinical Research Ethics Committee (Approval No: 2023/187). The study was conducted on 94 patients at the Gaziantep Medical Point Hospital. While the care package was implemented for the Intervention Group (n=47), the Control Group (n=47) received routine clinical care. Measurements were taken preoperatively (T0) and at three postoperative times (T1, T2 and T3). Delirium evaluations were conducted by a neurologist according to the DSM-V diagnostic criteria, while the CAM-ICU and other assessments were performed by intensive care nurses. Blood samples for cortisol, adrenocorticotropic hormone (ACTH), and glucose levels were analysed according to international standards. Data were analysed using SPSS 27.0, with statistical methods such as t-tests, Mann Whitney U, and Chi-square tests. Statistical significance was set at p<0.05. Study findings showed that the incidence of delirium assessed with DSM-V and CAM-ICU criteria was 17% in the Non-pharmacological methods for preventing delirium have gained increasing evidence; however, the effectiveness of care packages, including earplugs, music listening, and continuous family presence, has not been previously tested. This study aimed to evaluate the effectiveness of a care package consisting of these three interventions in preventing delirium in patients undergoing coronary artery bypass graft (CABG) surgery. Research approval was obtained from the Hasan Kalyoncu University Institute of Graduate Education (Approval No: 2023/11) and ethical approval from the Gaziantep University Clinical Research Ethics Committee (Approval No: 2023/187). The study was conducted at the Gaziantep Medical Point Hospital with 94 patients. The care package was applied to the Intervention Group (IG) (n=47), while standard clinical care was provided to the Control Group (CG) (n=47). Measurements were taken preoperatively (T0) and at three postoperative time points (T1, T2 and T3). Delirium was assessed according to the DSM-V criteria by a neurologist, while the CAM-ICU and other measurements were conducted by an intensive care nurse. Blood samples for cortisol, ACTH, and glucose levels were analysed in accordance with international standards. Data were analysed using SPSS 22.0 software with statistical tests such as t-test, Mann Whitney U, and Chi-Square. A p-value of <0.05 was considered statistically significant. According to the results, the incidence of delirium diagnosed using the DSM-V criteria was 27.66% in the IG and 57.45% in the CG. When evaluated using the CAM-ICU scale, delirium incidence was 29.79% in the IG and 53.19% in the CG. Anxiety levels were significantly lower in the IG (3.2 ± 0.8) than in the CG (4.7 ± 1.1) (p=0.002). Cortisol levels measured at T2 were 15.4 µg/dL in the IG and 21.6 µg/dL in the CG (p=0.012). ACTH levels were measured as 32.8 pg/mL in the IG and 40.5 pg/mL in the CG (p=0.034). Sleep quality scores measured using the RCSQ were significantly higher in the IG (62.7 ± 6.2) (p<0.001). Structural equation modelling showed that the care package increased sleep quality (β=0.52, p<0.001), reduced serum cortisol (β=-0.45, p<0.001) and ACTH levels (β=-0.38, p<0.001), and decreased anxiety (β=-0.60, p<0.001). The indirect effects of sleep quality on delirium prevention (β=-0.40, p<0.001) and anxiety on delirium (β=0.55, p<0.001) were also significant. The direct effect of the care package on reducing delirium was also statistically significant (β=-0.50, p<0.001). In conclusion, the implementation of a delirium-preventive care package, including continuous family presence, music listening, and earplugs, was found to be effective in reducing delirium incidence, lowering anxiety, and improving sleep quality
Tip 2 diyabetli bireylerin kardiyovasküler hastalıklar ile ilişkili sağlık inançlarının ve etkileyen faktörlerin incelenmesi
Full text linkBu çalışma, Tip 2 diyabetli bireylerin kardiyovasküler hastalıklar ile ilişkili sağlık inançlarının ve etkileyen faktörlerin incelenmesi amacıyla tanımlayıcı bir çalışma olarak yapıldı. Çalışma Mart-Ekim 2024 tarihleri arasında Gaziantep Üniversitesi Şahinbey Araştırma ve Uygulama Hastanesi Endokrinoloji servisinde yürütüldü. Araştırmanın örneklemini; belirtilen tarihler arasında Endokrinoloji servisinde yatarak veya ayaktan tedavi gören, en az bir yıl önce Tip 2 diyabet tanısı konulan, araştırmaya katılmayı gönüllü olarak kabul eden, 18 yaş ve üzeri, iletişim sorunu olmayan 206 hasta oluşturdu. Verilerin toplanmasında; Hasta Tanıtıcı Özellikler Formu, Tip 2 Diyabetli Bireylerde Kalp ve Damar Hastalıkları ile İlişkili Sağlık İnançları Ölçeği kullanıldı. Verilerin istatistiksel analizinde SPSS 25.0 programı kullanılarak Bağımsız Örneklemler t Testi, Tek Yönlü Varyans Analizi, Spearman Korelasyon Analizi ve Hiyerarşik Regresyon Analizi uygulandı. Tip 2 diyabetli bireylerde Kalp ve Damar Hastalıkları ile İlişkili Sağlık İnançları Ölçeği duyarlılık ve faydalar alt boyutları puan ortalamaları yüksek düzeyde bulundu. Hastaların kalp krizi ve inme geçirme risklerine dair duyarlılık inançları yüksekti. Benzer şekilde kalp krizi ve inme riskini azaltmada diyet ve egzersizin faydaları hakkındaki inançları yüksekti. Yaş, çalışma durumu, sigara içme durumu ve günde içilen sigara adedi, diyabet tanı süresi, beden kitle indeksi, diyabet tedavi şekli, diyabete bağlı komplikasyon varlığı, diğer kronik hastalık varlığı, geçirilmiş kalp krizi öyküsü, birinci derece yakınlarında kalp krizi ve inme öyküsü, açlık kan şekeri, HbA1C, total kolesterol ve HDL-kolesterol değerleri, kardiyovasküler hastalıklar duyarlılık inancını anlamlı olarak etkileyen faktörler arasında yer aldı. Geçirilmiş kalp krizi öyküsü olan bireylerin ve birinci derece yakınlarında kalp krizi öyküsü olan bireylerin kardiyovasküler hastalıklar duyarlılık inancı puanları, açıklayıcılığı anlamlı şekilde artıran temel faktörler olarak saptandı. Araştırmanın sonuçları doğrultusunda; hemşirelerin Tip 2 diyabetli bireylerin kalp ve damar hastalıkları ile ilişkili sağlık inançlarını değerlendirmeleri, hastalara kardiyovasküler risk faktörlerine ilişkin farkındalık eğitimleri vermeleri, hastaların kalp ve damar hastalıkları ile ilişkili sağlık inançlarını etkileyen sosyodemografik ve tıbbi özelliklerini dikkate almaları önerilmektedir.This study was conducted as a descriptive study to examine the health beliefs and affecting factors related to cardiovascular diseases of individuals with Type 2 diabetes. The study was conducted in the Endocrinology Department of Gaziantep University Şahinbey Research and Practice Hospital between March and October 2024. The sample of the study consisted of 206 patients who were treated as inpatients or outpatients in the Endocrinology Department between the specified dates, were diagnosed with type 2 diabetes at least one year ago, volunteered to participate in the study, were 18 years of age and over, and had no communication problems. Patient Descriptive Characteristics Form and Health Beliefs Related to Cardiovascular Disease Scale in Individuals with Type 2 Diabetes were used. In the statistical analysis of the data, Independent Samples t Test, One-Way ANOVA, Spearman Correlation Analysis and Hierarchical Regression Analysis were applied using SPSS 25.0 program. In individuals with type 2 diabetes, the mean scores of the Health Beliefs Related to Cardiovascular Disease Scale susceptibility and benefits sub-dimension were found to be high. The patients' susceptibility beliefs regarding the risks of heart attack and stroke were high. Similarly, their beliefs about the benefits of diet and exercise in reducing the risk of heart attack and stroke were high. Age, employment status, smoking status, number of cigarettes smoked per day, duration of diabetes diagnosis, body mass index, type of diabetes treatment, presence of diabetes complications, presence of other chronic diseases, history of previous heart attack, history of heart attack and stroke in first-degree relatives, fasting blood sugar, HbA1C, total cholesterol and HDL-cholesterol values were among the factors that significantly affected the belief in cardiovascular disease susceptibility. The cardiovascular disease susceptibility belief scores of patients with history of previous heart attack and history of heart attack in first-degree relatives were determined to be the main factors that significantly increased the explanatory power. According to the results of the research; it is recommended that nurses evaluate the health beliefs related to cardiovascular disease of individuals with type 2 diabetes, provide awareness training to patients regarding cardiovascular risk factors, and take into account the sociodemographic and medical characteristics of patients that affect their health beliefs related to cardiovascular diseases
A Comparative Study on Novel Hybrid Approaches Based on CEEMDAN, Random Forest, Deep Learning Methods for Predicting Daily Wind Speed
Full text linkIn this study, different kinds of hybrid Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) algorithms with forecasting models including Random Forest (RF), Gated Recurrent Unit (GRU), and Long ShortTerm Memory (LSTM) neural networks, are developed to estimate the mean daily wind speed at the height of 2 m in Ağrı city (WSst12), Turkey. In these hybrid models, different layer networks of single and integrated LSTM and GRU models include general single LSTM, general single GRU, simple coupled LSTM-GRU, and novel coupled LSTM with GRU through Addition layer (i.e., LSTM + GRU model) structures are applied. The most effective parameters on the WSst12, from a list of on-site potential meteorological parameters and wind speed values in its adjacent cities of Ağrı province from Jan 2015–Dec 2019 through the Pearson correlation coefficient method, are determined. In the hybrid CEEMDAN and DNNs-based models, State activation functions (SAF), numbers of hidden neurons (NHN), dropout rates (P-rate), and network structural architect (NSA) as the meta-parameters are tuned for lessening the impact of overfitting/underfitting dilemmas and improving modeling performance. According to the comparison plots, performance evaluation measures, and total learnable parameter (TLP), the novel developed hybrid CEEMDAN-RF-(LSTM + GRU) model is confirmed as the best approach with an R2 of 0.86 while, in the optimal scenario using the RF model, R2 was 0.47
Early coding education and its multidimensional impact on preschool development: An analysis of chatgpt's insights
No full textThis study investigates ChatGPT's perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured interview form containing 93 questions posed to ChatGPT version 3.5 to obtain in-depth insights into coding education during the preschool period. Content analysis examined ChatGPT's responses, identifying key themes and codes. The findings indicate that coding practices equip children with coding skills and support their development in multiple domains. Furthermore, the study highlights that uncertainties surrounding the definition of coding, the skills it encompasses, and its integration into curricula are gradually diminishing, with more explicit frameworks emerging. While there are drawbacks to artificial intelligence tools, the study concludes that tools like ChatGPT have significant potential to contribute to the content development of teachers, offering valuable resources to enhance coding education in early childhood.
Este estudio investiga las perspectivas de ChatGPT sobre la educaci & oacute;n en programaci & oacute;n para ni & ntilde;os en edad preescolar, con el objetivo de proporcionar una comprensi & oacute;n integral valiosa para los educadores en la educaci & oacute;n infantil. Se emple & oacute; un enfoque de estudio de caso instrumental, utilizando un dise & ntilde;o de investigaci & oacute;n cualitativo y m & eacute;todos de estudio de caso. Los datos se recopilaron mediante un formulario de entrevista estructurada que conten & iacute;a 93 preguntas planteadas a la versi & oacute;n 3.5 de ChatGPT para obtener informaci & oacute;n profunda sobre la educaci & oacute;n en programaci & oacute;n durante el per & iacute;odo preescolar. El an & aacute;lisis de contenido examin & oacute; las respuestas de ChatGPT, identificando temas y c & oacute;digos clave. Los hallazgos indican que las pr & aacute;cticas de programaci & oacute;n equipan a los ni & ntilde;os con habilidades de programaci & oacute;n y apoyan su desarrollo en m & uacute;ltiples & aacute;reas. Adem & aacute;s, el estudio destaca que las incertidumbres en torno a la definici & oacute;n de la programaci & oacute;n, las habilidades que abarca y su integraci & oacute;n en los planes de estudio est & aacute;n disminuyendo gradualmente, con la aparici & oacute;n de marcos m & aacute;s expl & iacute;citos. Si bien existen inconvenientes en las herramientas de inteligencia artificial, el estudio concluye que herramientas como ChatGPT tienen un potencial significativo para contribuir al desarrollo de contenidos para los docentes, ofreciendo recursos valiosos para mejorar la educaci & oacute;n en programaci & oacute;n en la primera infancia.
Cette & eacute;tude explore les perspectives de ChatGPT sur l'& eacute;ducation & agrave; la programmation pour les enfants d'& acirc;ge pr & eacute;scolaire, dans le but de fournir une compr & eacute;hension globale pr & eacute;cieuse pour les & eacute;ducateurs en & eacute;ducation de la petite enfance. Une approche d'& eacute;tude de cas instrumental a & eacute;t & eacute; utilis & eacute;e, en adoptant un design de recherche qualitatif et des m & eacute;thodes d'& eacute;tude de cas. Les donn & eacute;es ont & eacute;t & eacute; recueillies & agrave; l'aide d'un formulaire d'entretien structur & eacute; comprenant 93 questions pos & eacute;es & agrave; la version 3.5 de ChatGPT afin d'obtenir des informations approfondies sur l'& eacute;ducation & agrave; la programmation durant la p & eacute;riode pr & eacute;scolaire. Une analyse de contenu a & eacute;t & eacute; r & eacute;alis & eacute;e pour examiner les r & eacute;ponses de ChatGPT, identifiant des th & egrave;mes et codes cl & eacute;s. Les r & eacute;sultats indiquent que les pratiques de programmation dotent les enfants de comp & eacute;tences en codage et soutiennent leur d & eacute;veloppement dans plusieurs domaines. En outre, l'& eacute;tude met en lumi & egrave;re que les incertitudes concernant la d & eacute;finition de la programmation, les comp & eacute;tences qu'elle englobe et son int & eacute;gration dans les programmes scolaires diminuent progressivement, avec l'& eacute;mergence de cadres plus explicites. Bien qu'il existe des limites aux outils d'intelligence artificielle, l'& eacute;tude conclut que des outils comme ChatGPT ont un potentiel significatif pour contribuer au d & eacute;veloppement de contenus pour les enseignants, en offrant des ressources pr & eacute;cieuses pour am & eacute;liorer l'& eacute;ducation & agrave; la programmation en petite enfance
Global perspectives on industrial wastewater management: A bibliometric analysis of research output
Full text linkAs the population and urbanization continue to grow, we expect an increase in industrial demand, which will lead to higher water consumption and, consequently, the generation of substantial amounts of industrial wastewater (IWW). This presents significant environmental challenges that necessitate effective treatment solutions. This study addresses the gap in the existing literature by conducting a bibliometric analysis of 1,714 research papers on IWW treatment published in the Scopus database from 2015 to 2024. The findings indicate that over 59.7 % of these publications emerged within the past five years, with a peak of 244 papers published in 2022, reflecting an increased recognition of the necessity for effective IWW treatment approaches. The Journal of Water Process Engineering is identified as the leading journal in this domain. The analysis reveals that the majority of research is concentrated in the fields of chemistry and chemical engineering, with India and China contributing the highest outputs, at 11.79 % and 10.44 %, respectively. The University of Chinese Academy of Sciences is highlighted as a significant contributor, with seven publications and 74 citations, underscoring its prominence in IWW research. The studies indicate a focused interest in addressing various pollutants from industrial wastewater, including chemical oxygen demand (COD), dyes, and heavy metals. Furthermore, this body of research highlights a significant shift from traditional treatment methods toward integrated strategies that combine multiple techniques to enhance efficacy and sustainability in IWW treatment. Electrocoagulation, adsorption, and activated carbon are identified as the predominant treatment methods being explored for specific types of IWW, particularly textile and tannery wastewater. This research significantly contributes to the understanding of contemporary trends and advancements in IWW treatment, emphasizing the critical role of innovative methodologies in effectively addressing pollutant removal and promoting environmental sustainability. © 202