bluuebunny/crossref_metadata_2025 huggingface dataset:
Revolutionizing orthopedic care: The impact of ai in predictive analysis, surgical precision, and personalized rehabilitation
Authors: Lakhani Amit
Published: September 2024

Artificial intelligence (AI) is transforming the field of orthopedics, significantly impacting predictive analysis, surgical management, and rehabilitation programs. This review explores the multifaceted role of AI in enhancing orthopedic care, focusing on its application in personalized treatment plans, surgical precision, and remote rehabilitation. Predictive analytics in orthopedics, powered by AI, have revolutionized preoperative planning by forecasting surgical outcomes and potential complications, enabling clinicians to tailor surgical strategies to individual patient needs. AI's integration into surgical procedures, particularly in robotics-assisted and minimally invasive surgeries, has enhanced precision, reduced operative times, and improved patient safety, resulting in faster recovery and better outcomes.AI-driven rehabilitation programs offer personalized exercise regimens, real-time feedback, and remote monitoring, making high-quality rehabilitation accessible to patients regardless of location. These applications adapt to individual patient progress, providing customized exercise plans that optimize recovery while minimizing the risk of reinjury. Additionally, AI-powered rehabilitation tools enhance patient engagement through gamification and interactive features, leading to higher adherence to rehabilitation protocols.The review highlights key studies demonstrating the efficacy of AI in these areas, underscoring its potential to revolutionize orthopedic care. By leveraging AI's capabilities, clinicians can provide more accurate diagnoses, implement effective surgical interventions, and offer personalized rehabilitation solutions, ultimately improving patient outcomes and quality of life. As AI technology continues to advance, its role in orthopedics is expected to expand, offering increasingly innovative and effective solutions for both surgical and non-surgical patient care.
Telemedicine in dentistry: Enhancing accessibility and efficiency in modern dental care
Authors: Sharma Ena , Sangha Ruhee , Goyal Radhika , Bhardwaj Anubha
Published: September 2024

Telemedicine has emerged as a transformative force in dentistry, revolutionizing the way oral healthcare is delivered. By leveraging technology, telemedicine offers a convenient, accessible, and often cost-effective approach to dental care. Patients can now connect with dental professionals remotely for a variety of services, including consultations, diagnostics, education, and even emergency care.

One of the most significant benefits of telemedicine in dentistry is its ability to expand access to care. In underserved areas, where dental professionals may be scarce, telemedicine can bridge the gap by connecting patients with experts located elsewhere. This is particularly important for those who face geographic, financial, or mobility barriers.

Moreover, telemedicine can improve patient convenience. Patients no longer need to travel long distances or wait for appointments, as many services can be provided virtually. This is especially valuable for individuals with busy schedules or those who live in remote regions.

In addition to accessibility and convenience, telemedicine can also enhance the quality of dental care. By enabling remote consultations with specialists, patients can receive expert opinions and guidance on complex cases. Additionally, telemedicine can facilitate the sharing of information and best practices among dental professionals, leading to improved treatment outcomes.
Motivação dos Alunos de Ciências Contábeis: um Estudo no Contexto do Ensino Remoto na Pandemia de Covid-19
Authors: Ribeiro Tania Maria , Kurtz Renata Georgia Motta , Duque Andréa Paula Osório
Published: September 2024

Os anos de 2020 e 2021 foram marcados pela pandemia da Covid-19 e a necessidade de isolamento social. Diante deste cenário, as Instituições de Ensino Superior (IES) propuseram a utilização de novas estratégias a fim de manter o aprendizado do discente e, por isso, a maioria das universidades no Brasil optou pelas aulas remotas. Este artigo objetiva analisar quais são os fatores promotores da motivação dos estudantes do curso de Ciências Contábeis, de uma universidade privada da cidade do Rio de Janeiro, tendo como cenário as aulas remotas, sob a perspectiva da teoria da autodeterminação. A metodologia teve abordagem qualitativa, descritiva, com entrevista em profundidade, com um corpus formado por 12 estudantes de quarto período de Ciências Contábeis do semestre 2021.1. Os resultados demonstraram que a maioria dos alunos apresentou motivação autônoma para o estudo, sendo seis com motivação intrínseca. Nesse sentido, foi possível perceber que os fatores ambientais e pessoais afetam a motivação intrínseca dos alunos, e que seus comportamentos são guiados por contextos que fornecem contribuições às necessidades psicológicas, o que demanda dos indivíduos competências que podem variar o nível e tipo de motivação.
 
Palavras-chave: Autodeterminação. Motivação. Ensino remoto. Aprendizado. Covid-19.
Predictive Factors for Functional and Anatomical Outcomes After Anti-VEGF Treatment for Macular Edema in Patients with Branch Retinal Vein Occlusion
Authors: Ferreira Catarina Cunha , Soares Ricardo Machado , Fernandes Joana , Teixeira Sofia , Saraiva Eduardo , Ribeiro Lígia , Fonseca Sofia , Silva Luís , Sousa-Neves Filipe
Published: September 2024

Purpose: This study aimed to identify predictive factors for the improvement of best-corrected visual acuity (BCVA) and reduction of central macular thickness (CMT) after treatment of macular edema (ME) due to branch retinal vein occlusion (BRVO) in a real-world setting.
Methods: This retrospective study included patients with ME secondary to BRVO who were treated with intravitreal injection of bevacizumab as the first-line therapy and were followed up for 12 months. Demographic and clinical data, in addition to baseline spectral domain optical coherence tomography (SD-OCT) features, were considered as possible biomarkers of final BCVA and CMT. We also collected the data concerning the need for additional treatment including sectorial laser photocoagulation, change to another anti-VEGF agent, or intravitreal corticosteroid injection.
Results: A total of 161 eyes were analyzed. BCVA significantly improved from baseline to 12- month follow-up (0.6 and 0.4 logMAR, respectively; P < 0.01). CMT decreased significantly during the follow-up period (from 498.0 to 325.0 μm; P < 0.01). Final BCVA correlated positively with baseline BCVA (P < 0.01, r = 0.57). Older age at diagnosis and baseline SD-OCT findings including CMT, disruption of the retinal inner layers, retinal pigment epithelium (RPE) damage, and impairment of the ellipsoid zone and external limiting membrane negatively affected final BCVA (P < 0.01). Multiple regression analysis identified age and BCVA at baseline as the only independent predictors of final BCVA (P = 0.001 and P < 0.01, respectively). No association was found between clinical data, SD-OCT parameters, and final CMT.
Conclusion: Various clinical and SD-OCT parameters are prognostically relevant for visual improvement in ME secondary to BRVO. Age at diagnosis and baseline BCVA were found to be independent predictors of visual outcome.
Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review
Authors: Hashemian Hesam , Peto Tunde , Ambrósio Jr Renato , Lengyel Imre , Kafieh Rahele , Muhammed Noori Ahmed , Khorrami-Nezhad Masoud
Published: September 2024

Artificial intelligence (AI) holds immense promise for transforming ophthalmic care through automated screening, precision diagnostics, and optimized treatment planning. This paper reviews recent advances and challenges in applying AI techniques such as machine learning and deep learning to major eye diseases. In diabetic retinopathy, AI algorithms analyze retinal images to accurately identify lesions, which helps clinicians in ophthalmology practice. Systems like IDx- DR (IDx Technologies Inc, USA) are FDA-approved for autonomous detection of referable diabetic retinopathy. For glaucoma, deep learning models assess optic nerve head morphology in fundus photographs to detect damage. In age-related macular degeneration, AI can quantify drusen and diagnose disease severity from both color fundus and optical coherence tomography images. AI has also been used in screening for retinopathy of prematurity, keratoconus, and dry eye disease. Beyond screening, AI can aid treatment decisions by forecasting disease progression and anti- VEGF response. However, potential limitations such as the quality and diversity of training data, lack of rigorous clinical validation, and challenges in regulatory approval and clinician trust must be addressed for the widespread adoption of AI. Two other significant hurdles include the integration of AI into existing clinical workflows and ensuring transparency in AI decisionmaking processes. With continued research to address these limitations, AI promises to enable earlier diagnosis, optimized resource allocation, personalized treatment, and improved patient outcomes. Besides, synergistic human-AI systems could set a new standard for evidence-based, precise ophthalmic care.
XEN Gel Stent Failure Due to Luminal Obstruction
Authors: C.Amarasekera Dilru , A. Shankar Vikram , Razeghinejad Reza
Published: September 2024

Purpose: To discuss four cases of post-operative XEN gel stent luminal obstruction in patients with primary open angle glaucoma. Case Report: Four eyes in three patients with primary open angle glaucoma who received XEN stent implantation were found to have luminal obstruction of their stents. Stent obstruction can mimic filtering bleb failures not responding to bleb needling and antimetabolite injections. These obstructions were suspected to result from fibrin clots, iris pigment granules, or breakdown products of intraocular inflammation or hemorrhage. Treatment options trialed in these patients included bleb needling, 5-fluorouracil injection, and YAG laser to the proximal end of the XEN. Ultimately, all four eyes required XEN explantation and alternative filtering surgery. Conclusion: XEN luminal obstruction is an important complication of stent placement that can ultimately lead to stent failure. Conservative measures such as laser or traditional bleb management may be considered before stent explantation or additional glaucoma surgery.
Assessing the Psychological Well-being of Healthcare Workers During the COVID-19 Pandemic
Authors: Bermagambetova Saule K. , Shayakhmetova Kulyan N. , Karashova Gulsum I. , Sakebayeva Laura D. , Rabayeva Fariza A. , Satybaldieva Umit A. , Zinaliyeva Ainur N. , Mamyrbayev Arstan A.
Published: September 2024

During the COVID-19 pandemic, working in any medical organization is associated with the risk of coronavirus infection. This applies first and foremost to specialized medical organizations dealing with the treatment of patients infected with coronavirus. Medical workers experiencing increased psychological stress are at an increased risk of infection with the SARS-CoV-2 virus while providing medical care. Therefore, studying the psychological states of medical workers – doctors, nurses, orderlies - is of particular importance and relevance. Our research goal is to investigate the psychological responses of medical professionals amid the COVID-19 pandemic. The research focused on the Aktobe Medical Center (AMC), which hosts the regional pulmonology center for COVID-19 patients and the Regional Clinical Infectious Diseases Hospital (RCIDH). The study is a selective, single-stage cross-sectional analysis. To assess the psychological reactions of medical workers, standardized questionnaires are used, including the PSM-25, GAD-7, and MFI-20. Statistical analysis of the data is conducted using the STATISTICA 10.0 software package from StatSoft, Inc., USA. An analysis of the research results indicates that medical personnel, nurses, and administrative staff in medical organizations associated with the risk of coronavirus infection are susceptible to adverse psychophysiological disorders. The study revealed that stress levels, anxiety, and asthenia in doctors and nursing staff are significantly higher compared to those in nurses and administrative personnel. Medical workers at risk of COVID- 19 clearly require support measures, as the potential for occupational infection has been definitively established. Additionally, the psychological risk is largely influenced by the nature of their work and their direct contact with the population and patients infected with the coronavirus. Senior and mid-level medical workers at the forefront of combating coronavirus infection is at a high risk of experiencing psycho-emotional and psychophysiological health issues. Doctors and nurses have been found to exhibit high levels of physical and mental asthenia, anxiety, and moderate-to-high levels of stress. Evaluating potential risk factors for psychophysiological disorders among healthcare workers not only provides an objective assessment of their health status, but also aids in the effective and rational organization of their work.
Assessment of Sexual Dimorphism in Morphological Indices of the Second Cervical Vertebra: Implications for Forensic Medicine and Medical Diagnostics
Authors: D Yogesh , Panuganti Praveen Kumar , Sura Amarendar , Priyadarshini Swathi , Jyothi Ashok Kumar
Published: September 2024

Accurate determination of sexual dimorphism in skeletal structures is crucial in forensic anthropology and medical diagnostics. This study aimed to assess sexual dimorphism in various indices of the second cervical vertebra (axis) and other associated structures. A comprehensive analysis was conducted on axis dimensions, vertebral foraminal measurements, body diameters, odontoid process parameters, and auricular facet indices in male and female subjects. A total of 122 specimens were examined, comprising 62 male and 62 female specimens. The analysis revealed significant differences between male and female subjects in various morphological indices. In terms of axial dimensions, males exhibited larger average height, length, and width of the axis compared to females, indicating sexual dimorphism. Similarly, significant differences were observed in the maximum length and width of the vertebral foramen, with males demonstrating larger measurements. Additionally, males showed larger transverse and sagittal diameters of the body compared to females. Regarding the odontoid process, males displayed greater sagittal and transverse diameters, as well as maximum height, suggesting sexual dimorphism in this aspect. Furthermore, significant differences were noted in the mean sagittal angle of the dens axis between males and females. Analysis of the superior and inferior auricular facets also indicated notable morphological variations between the sexes. The findings highlight pronounced sexual dimorphism in the morphology of the second cervical vertebra and associated structures. These results underscore the importance of considering sex-related variations in skeletal assessments for forensic and diagnostic purposes. Further research in this area can enhance the accuracy of sex determination in skeletal remains and contribute to the development of new identification methodologies.
The Transformative Role of Artificial Intelligence in Regenerative Medicine
Authors: Tamadon Amin , Mussin Nadiar M. , Kaliyev Asset A.
Published: September 2024

Artificial intelligence (AI) has emerged as a transformative force in regenerative medicine, revolutionizing research, clinical applications, and personalized therapies. This article explores how AI accelerates the identification of biomarkers, optimizes cell and tissue engineering processes, and enhances treatment efficacy through personalized medicine approaches. AI's role in predictive analytics, robotic systems for tissue fabrication, and real-time monitoring tools underscores its potential to reshape the future of healthcare. Addressing ethical considerations is essential as AI continues to pave the way for innovative regenerative therapies.
The Impact of Cashless Policy on the Performance of Msmes in Nigeria Using Aritificial Neural Network
Authors: Nwoke Linda, Ifeanyi , Precious Atemoagbo, Oyarekhua , Aisha Abdullahi , Peter Siyan
Published: September 2024

This study investigates the impact of cashless policy on the performance of Micro, Small, and Medium-Sized Enterprises (MSMEs) in Suleja, Nigeria, using Neural Network regression model. A survey research design was employed to collect data from 400 MSMEs, which were segmented into three clusters based on their cashless payment system adoption using Artificial Neural Network Clustering algorithm. The results show that the MSMEs were segmented into three clusters, with Cluster 1 having high adoption (n=150, 37.5%), Cluster 2 having moderate adoption (n=120, 30%), and Cluster 3 having low adoption (n=130, 32.5%). The study found that the adoption of cashless payment systems has a significant positive impact on the financial performance of MSMEs, with Cluster 1 having the highest financial performance (mean profit margin = 25.6%, SD = 5.2). Neural network regression model was used to predict business performance metrics, with a moderate level of predictive performance (MSE = 2.867, RMSE = 1.693, MAE = 1.693, MAPE = 42.33%). Feature importance analysis reveals that Health/Pharmacies and Repair of Home Gadgets are the most important features, with a mean dropout loss of 1.353. The findings of this study are important for policymakers, business owners, and researchers in the areas of financial inclusion, digital payments, and MSME development. The study highlights the potential benefits of cashless policy on the financial performance of MSMEs and identifies key factors that influence the adoption of cashless payment systems. The results can inform policy interventions and business strategies aimed at promoting financial inclusion and improving the performance of MSMEs in Nigeria and similar contexts.
BRICS+T Ülkelerinde Finansal Gelişme ve Askeri Harcamaların GSYİH Üzerindeki Etkisi: Fourier Bootstrap ARDL Yaklaşımı
Authors: Eylasov Neman , Şahinler Ayşe Nur , Kılıç Ramazan , Gasim Nijat
Published: September 2024

Askeri harcamalar, bir ülkenin savunma politikalarının temelini oluşturarak uluslararası arenada hayati bir rol oynamaktadır. Askeri harcamalar ile ekonomik büyüme arasındaki ilişki ilk kez Benoit (1973, 1978) tarafından incelenmiş ve bu ilişki literatüre "Benoit hipotezi" olarak geçmiştir. Bu çalışmada askeri harcamalar ve finansal gelişmenin ekonomik büyüme üzerindeki etkisi Benoit hipotezi kapsamında BRICS+T (Brezilya, Rusya, Hindistan, Çin, Güney Afrika ve Türkiye) ülkeleri için 1992-2021 yıllık veri kullanılarak araştırılmıştır. Değişkenlerin durağanlıkları, ADF ve Esnek Fourier ADF birim kök testleri kullanılarak incelenmiş ve ardından Fourier Bootstrap ARDL ve Bayer-Hanck yöntemleriyle değişkenler arasında eş-bütünleşme ilişkisi araştırılmıştır. FB-ARDL yöntemi, eş-bütünleşme ilişkisini sadece Türkiye'de bulurken, Bayer-Hanck eş-bütünleşme testi tüm ülkelerde eş-bütünleşme ilişkisi tespit etmiştir. FB-ARDL uzun dönem tahmin sonucuna göre Türkiye`de finansal gelişme ekonomik büyümeyi pozitif, askeri harcamalar ise negatif etkilemektedir. Dolayısıyla Türkiye`de Benoit hipotezi geçersizdir. BRICS ülkeleri için FMOLS uzun dönem tahmin sonuçları şu şekildedir; A) Brezilya ve Güney Afrika hariç tüm ülkelerde finansal gelişmenin ekonomik büyüme üzerindeki etkisi pozitif ve anlamlıdır. B) Rusya ve Çin'de askeri harcamaların ekonomik büyüme üzerinde istatistiksel olarak anlamlı bir etkisi bulunmamaktadır. C) Brezilya, Hindistan ve Güney Afrika`da askeri harcamaların ekonomik büyümeyi negatif etkilediği görülmüştür (Benoit hipotezi geçersizdir). Son olarak, çalışmada tüm ülkeler için değişkenler arasındaki nedensellik ilişkisi Fourier Toda-Yamamoto yöntemiyle araştırılmış ve sonuçlar çalışmanın son bölümünde raporlanmıştır. Çıkan ekonometrik sonuçlara dayanarak, farklı politika önerileriyle çalışma sonlandırılmıştır.
Anahtar Kelimeler: Benoit Hipotezi, Fourier Bootstrap ARDL, Finansal Gelişme, Ekonomik Büyüme, Fourier ADF, Fourier Toda-Yamamoto
JEL Sınıflandırılması: P24, O16, H56, C32, C51
Türkiye'de Barro Sefalet İndeksi ile Yoksulluk Arasındaki İlişki: Toda-Yamamoto Nedensellik Analizi
Authors: Turna Yaşar
Published: September 2024

Dünyada 2008 krizi tüm ülkeleri etkilediği gibi Türkiye’yi de olumsuz yönde etkilemiştir. Kriz sonrası dönemde Türkiye’de yoksulluk oranlarında artış meydana gelmiş, refah düzeyi düşmüş, enflasyon ve işsizlik düzeyindeki artışlarla birlikte ekonomik hoşnutsuzluk artış göstermiştir. Bu durum ekonomide hoşnutsuzluk indeksi olarak da bilinen sefalet indeksi ile ifade edilmektedir. Sefalet indeksi ilk olarak Arthur Okun tarafından öne sürülmüş olup Robert Barro tarafından geliştirilmiştir. Barro sefalet indeksi işsizlik, enflasyon ve faiz oranı arttığında yükselmekte büyüme oranı arttığında ise azalmaktadır. Sefalet indeksi aynı zamanda bir toplumda refah düzeyini göstermesi açısından da önem arz etmektedir. Bu nedenle bu çalışmada Türkiye’de 2006-2022 yılları arasında Barro sefalet indeksi ile yoksulluk arasındaki nedensellik ilişkisinin analiz edilmesi amaçlanmaktadır. Bu çerçevede değişkenler arasındaki ilişkiler yapılan birim kök testi ve gecikme uzunluğu sonucuna uygun olarak Toda-Yamamoto nedensellik testi ile analiz edilmiştir. Yapılan nedensellik testi sonuçlarına göre yoksulluk ile Barro sefalet indeksi arasında çift yönlü bir nedensellik ilişkisine rastlanmıştır.
Anahtar Kelimeler: Yoksulluk, Sefalet İndeksi, Refah Düzeyi
JEL Sınıflandırması: I31, I32, O11
Ekonomik Politika Belirsizliği, Turizm Gelirleri ve Döviz Kuru Arasındaki İlişki: Türkiye Örneği
Authors: Nazlıoğlu Elif Hilal
Published: September 2024

Küresel belirsizliklerin ekonomik ve finansal göstergeler üzerindeki etkisi son yıllarda üzerine odaklanılan önemli bir araştırma sorusudur. Turizm sektörünü geliştirmek, turizm gelirlerini sürekli hale getirmek için politikalar tasarlayan, ekonomisi kırılgan bir yapıya sahip olan ve yükselen piyasa ekonomisi özelliği gösteren Türkiye, belirsizlik göstergelerinin ekonomik etkilerinin ampirik analizine oldukça uygun bir örnektir. Bu çalışma, küresel ekonomik politika belirsizliği ve döviz kurunun turizm gelirleri üzerindeki etkilerini incelemeyi amaçlamaktadır. Bu doğrultuda, Ocak 2012-Eylül 2022 dönemi aylık veriler kullanılarak, zaman serisi nedensellik ve eş bütünleşme analizleri yapılmıştır. Eşbütünleşme analizi, uzun dönemde küresel ekonomi politikası belirsizliğindeki artışın Türkiye’de turizm gelirlerini azalttığını, döviz kurundaki artışın turizm gelirlerini artırdığını göstermektedir. Nedensellik analizi, kısa dönemde değişkenler arasında bilgi transferi olmadığını işaret etmiştir. Bu sonuçlar, Türkiye turizm altyapısını geliştirmek amacıyla tasarlanan uzun vadeli politikaların hem küresel belirsizlik hem de kurları etkileyen dinamikleri dikkate alması gerekliliği yönünde kanıtlar içermektedir.
Anahtar Kelimeler: Ekonomik Politika Belirsizliği, Turizm Geliri, Döviz Kuru, Eşbütünleşme, Nedensellik
JEL Sınıflandırması: D89, F31, Z30
Sürdürülebilir Kent İçi Ulaşım ve CO2 Emisyonu: İstanbul İli Örneği
Authors: İbik Tuğba
Published: September 2024

Kentleşme 19.yüzyıldan itibaren gündeme gelen bir olgu olarak görülmektedir. Nüfusun artmasına bağlı olarak kentleşmenin hızlanması insanların kent alanlarında daha yoğun faaliyet göstermelerine neden olmaktadır. Bu faaliyetler arasında görülen ulaşım ekonomik, sosyal ve çevresel bakımdan etkide bulunan önemli bir sektördür. Ancak genellikle yenilenemeyen enerji kaynaklarının tercih edilmesi nedeniyle emisyonlar çevrenin yanı sıra ulaşım sektörü ve kentlerdeki yaşamın sürdürülebilirliği için tehlikeli bir unsur haline gelmektedir. Özellikle nüfus bakımından en kalabalık il olarak kabul edilen İstanbul ili için kentleşmenin pek çok sorunu beraberinde getirdiği görülmektedir. Bu sorunlar arasında görülen emisyon salınımı, nüfusun giderek yoğunlaşması ve insanların ulaşım araçlarına daha çok gereksinim duyması sonucu artmakta ve çevresel sorunların da belirginleşmesine neden olmaktadır. İstanbul ilinde enerji kullanımından sonra en fazla 〖"CO" 〗_"2" emisyon salınımına neden olan ulaşım sektöründe sürdürülebilirliğin sağlanabilmesi için bu durumun kontrol edilmesi gerekmektedir. Bu nedenle çalışmada emisyonların belirlenebilmesi için IPCC tarafından yayınlanan kılavuzda önerilen metodoloji aracılığıyla hesaplamalar yapılmıştır. 2010 ve 2022 yılları arasında Tier 1 yöntemi ile yapılan hesaplamalar doğrultusunda ulaşılan sonuca göre karayolu ulaşımından kaynaklanan 〖"CO" 〗_"2" emisyon salınımı 2010 yılında 9,847,58 Gg〖"CO" 〗_"2" dir. 2022 yılında 15,039,68 Gg〖"CO" 〗_"2" olarak gerçekleşmiştir. Toplam 〖"CO" 〗_"2" emisyonu değişiminin ise 2022 yılında 2010 yılına kıyasla %52,72 arttığı sonucuna ulaşılmaktadır. Ancak bazı dönemlerde karayolu ulaşımından kaynaklanan 〖"CO" 〗_"2" emisyonu önceki yıla göre azalış göstermiştir. Bu durum üzerinde alınan önlemler, alternatif ulaşım araçlarına yönelim ve salgın nedeniyle karantina dönemi tedbirleri etkili olabilir. Ulaşım emisyonun belirli dönemlerdeki azalışına bakıldığında il için alınacak önlemlerin etkili olması, çalışmada bu doğrultuda yer verilen önerilerin ve yapılacak olan düzenlemelere katkı sağlaması beklenmektedir.
Anahtar Kelimeler: Sürdürülebilir Kent İçi Ulaşım, 〖"CO" 〗_"2" Emisyonu, İstanbul
JEL Sınıflandırması: O18, Q56, R42
Çekim Modeli Çerçevesinde Ticaret Tahmininde Makine Öğrenmesi Yöntemlerinin Performans Karşılaştırması: Türkiye ve Türk Cumhuriyetleri Örneği
Authors: Ay Ahmet , Soydal Haldun , Ay Mustafa
Published: September 2024

Bu çalışmada, Türkiye'nin Türk Cumhuriyetleri (Azerbaycan, Kazakistan, Kırgızistan, Özbekistan ve Türkmenistan) ile olan ticaret hacmi çekim modeli kullanılarak analiz edilmiş ve 2024-2025 yılları için Türkiye ile bu ülkeler arasındaki ticaret hacmini tahmin etmede en başarılı makine öğrenimi yöntemi belirlenmek istenmiştir. Bu amaçla çalışmada Türk Cumhuriyetlerinin bağımsızlıklarını kazandıkları 1992 yılından başlayarak 2023 yılına kadar olan veriler kullanılmıştır. Bu veriler sayısal değişkenler olarak Türkiye ile Türk Cumhuriyetleri arasındaki ihracat ve ithalat verileri, ülkelerin milli gelirleri, aralarındaki mesafe; kukla değişkenler olarak ise ülkelerin birbirleriyle olan sınırı, ortak dil, ülkelerin karayla çevrililik durumu ve Dünya Ticaret Örgütü (DTÖ) üyelikleridir. Bu veriler, ticaret hacmini tahmin etmek için Lineer Regresyon, Gauss Süreç Regresyonu ve Çok Katmanlı Algılayıcılar gibi farklı makine öğrenmesi modelleri ile analiz edilmiştir. Uygulanan makine öğrenmesi modellerinin başarısı MAPE (Ortalama Mutlak Yüzde Hata) değerleri üzerinden kıyaslanmıştır. Analiz sonuçları, Çok Katmanlı Algılayıcılar modelinin en doğru tahminleri sağladığını ortaya koymuştur. Bu durum, ileri düzey makine öğrenmesi yöntemlerinin karmaşık ticaret dinamiklerini anlamada ve gelecekteki ticaret eğilimlerini öngörmede ne kadar etkili olabileceğini göstermektedir. Türkiye ve Türk Cumhuriyetleri arasındaki ticaret ilişkilerinin daha iyi anlaşılması ve bu ilişkilerin gelecekteki seyrinin tahmin edilmesi, bölgesel ekonomik politikaların oluşturulmasında önemli katkılar sağlayacaktır. Çalışma, bu ülkelerle olan ticaretin gelişimine yönelik stratejilerin belirlenmesi açısından da önemlidir.
Anahtar Kelimeler: Çekim Modeli, Çok Katmanlı Algılayıcılar, Gauss Süreç Regresyonu, Makine Öğrenmesi, Türk Cumhuriyetleri.
JEL Sınıflandırması: C51, C53, F17
Between concealment and exposure – menstruation status in professional sport from a sociological perspective
Authors: Jakubowska Honorata
Published: September 2024

The aim of this article is to examine, based on a literature review, the status of menstruation in professional sport from a sociological perspective. The first part of the article describes the broader sociocultural context that frames the perception and experience of menstruation and is followed by a review of the literature focused on sport. In the second part, the main factors that shape the status of menstruation in professional sport, i.e. the culture of concealment, the characteristics of the sport, the sport media coverage and menstrual activism, are discussed. As the article reveals, the coexistence of these factors causes that, on the one hand, menstruation is rarely the object of communication, mainly addressed to a broader public; on the other hand, menstrual activism contributes to some changes related to dress code or open discussion on menstrual issues. The conclusion indicates the meaning of sociological studies of menstruation in sports, pointing out the importance of the topic in basic and applied research and its social impact.
Language transferability in a process-based writing course
Authors: Ghafarpour Hajar , Biria Reza
Published: September 2024

The writing process is founded principally upon language learners’ decision-making behaviors that are believed to be under the influence of their first language experiences. Hence, the main objectives of this study are to investigate the extent to which activating cognitive processing strategies can improve second-language learners’ writing skills, and to explore whether first-language writing experiences are transferable to second-language writing situations. Therefore, a class of 33 sophomore students, in the Advanced Writing course were selected as participants to the study. Through a Time Series Design, it was revealed that triggering the proper cognitive processing and planning strategies would ameliorate the quality of written texts with various rhetorical purposes. However, the findings did not support the second objective of the study, that is, first language/second language transferability. This indicates that teachers should focus on developing several strategies, keeping in mind that resorting to first-language composing abilities may not be the only and the best solution.
Keywords: Cognitive processing strategies; first language; second language; L1 ; L2; writing skills
Confluence learning: The new normal and emerging technologies
Authors: Santhakumar Lora , Joseph Nancy Prasanna
Published: September 2024

The COVID-19 pandemic boosted the global adoption of blended learning methodologies, since there was a need to limit interaction with people to lessen the risk of disease had resulted in the complete closure of all academic institutions. Blended learning is a modern teaching approach that blends conventional and contemporary learning approaches, wherein the online learning tools would not entirely substitute how conventional teachers engage with each other and educate their pupils. Nevertheless, there have been various difficulties in comprehending blended learning methods and working together as a team in an academic environment. The goal of this article is to examine teachers' and students' viewpoints on the usage of blended learning (offline/online) modalities in education and learning processes. Using a narrative literature review method, this study discusses emerging technologies. From the results, moving from a conventional to an e-learning platform requires changes in educational paradigms and behavior, resulting in the development of a modern learning culture and also the incorporation of technology advancements in education. During a crisis scenario, such as a pandemic or natural catastrophe, online/blended learning may help learners fulfill their academic requirements more effectively.
Keywords: Blended learning; Covid-19 pandemic; learning approaches; online education.
Pembaruan akad Nikah: Internalisasi Hukum Islam dalam Tradisi Lokal
Authors: Musonnif Ahmad , Muazza Sahira Rif’anil
Published: September 2024

Renewal of marriage is one of the phenomena that exists in Muslim society in Indonesia. This phenomenon arises because of several factors, including poor conditions in the family, traditions, and so on. The investigation focused on the practice of marriage renewal in the village of Kemasantani, performing interpretations of their behavior and a thorough analysis of the views of the public and scholars about marriage. The methods used are interviews and literary studies. The results of the research show that the view of the Java people who practise the renewal of marriage is based on the belief that marriage was a worship that could be used as a means of prayer to God to obtain desire. First, scholars who consider marriage renewal can cancel the previous contract because it is a recognition (iqrar) of divorce. Second, scholars who consider that the renewal of marriage does not damage (faskh) the previous contract is analogous to the practice of the companions repeating bay'at by Companion to the Prophet PBUH. In addition, marriage renewal is informing (ikhbar), strengthening (ta'kid), embellishing (tajammul), and prudence (ikhtiyath).
Implementasi Pelayanan Terpadu dalam Percepatan Penyelesaian Penetapan Ahli Waris berdasarkan Asas Sederhana, Cepat dan Biaya Ringan
Authors: Aziah Faza , Harry Musleh
Published: September 2024

Pengadilan Agama Surabaya beserta Kantor Pertanahan Kota Surabaya 1 melakukan kerjasama yang tercantum pada Memorandum of Understanding Nomor W13-A1/1909/HM.00/3/2021 dalam rangka pelayanan terpadu percepatan penyelesaian penetapan ahli waris sebagai kelengkapan pendaftaran tanah pertama kali. Tujuan penelitian ini adalah sejauh mana kedua pihak dalam mengimplementasikan kerjasama pelayanan terpadu percepatan penyelesaian penetapan ahli waris berdasarkan MoU yang telah dibuat dengan kesepakatan antara keduanya, serta kerjasama pelayanan terpadu ini ditinjau dari asas peradilan sederhana, cepat dan biaya ringan (contante justitie). Penelitian ini menggunakan jenis penelitian hukum empiris dengan pendekatan yuridis sosiologis. Data penelitian yang diperoleh dalam penelitian ini yaitu wawancara sebagai data primer dan pustaka serta dokumentasi lainnya sebagai data sekunder. Pengolahan data yang digunakan yaitu edit, klasifikasi, verifikasi, analisis dan kesimpulan. Hasil penelitian yang didapat dari wawancara bersama informan yaitu pertama, implementasi kerjasama pelayanan terpadu antara Pengadilan Agama Surabaya dengan Kantor Pertanahan Kota Surabaya 1 telah terlaksana sebagaimana semestinya yang tertera dalam Memorandum of Understanding, adapun tujuan diadakannya kerjasama ini adalah mempercepat penyelesaian penetapan ahli waris berdasarkan hukum Islam sebagai kelengkapan permohonan pendaftaran sertifikat tanah pertama kali. Kedua, implementasi yang dilaksanakan oleh keduanya merupakan salah satu upaya dalam penerapan asas peradilan sederhana, cepat, dan biaya ringan sehingga kerjasama ini telah dilaksanakan sebagaimana asas tersebut.
Kata Kunci: pelayanan terpadu; penetapan ahli waris; asas sederhana, cepat dan biaya ringan.
Los Motivos del hombre-lobo para leer literatura
Authors: Abreu Cornelio Agustin
Published: September 2024

El secreto del hombre-lobo addresses the scarce discussion about teaching literature despite the wide emphasis on improving reading comprehension. It is not a product of meticulous academic research based on quantitative or qualitative methodologies. It is a work that emerges at the crossing concerns of parents, literature teachers, regular readers and writers, since José Castillo Baeza is all of these. After publishing the novels Hojas recicladas (2005) and Garabato (2014), and the book of short stories A la espera (2008), Castillo Baeza brought together twenty-four essays previously published in newspapers and journals. The first of the three chapters focuses on the bonds between literature and education; the second one includes interpretive essays about books and movies; while, in the last one, reality is analyzed with tools acquired through reading literature.
Hommage à M. Maurice Martelli-Chautard
Authors: Collardet Jean
Published: September 2024

Pas de résumé
FACTORS ASSOCIATED POST-PARTUM CONTRACEPTION PLANNING
Authors: Zulfa Sheila Nurhaliza , Ayudha Mita Dwi , Ernawaty Ernawaty , Kurniawan Afif
Published: September 2024

The problem of stunting that occurs in Indonesia is caused by one of the sensitive factors, namely bad parenting. Improper parenting can occur in mothers whose children are born too close together (<2 years). Postpartum contraception can also be a solution for those who are "4 too” The achievement of postpartum family planning services in Sarirejo District (65.12%) has not met the target (70%). This study aims to analyze the effect of age, number of children, level of education and knowledge of postpartum family planning plans for pregnant women in Sarirejo District. This type of analytic observational research with cross sectional design. The research subjects were all pregnant women in Sarirejo District in April 2023 with a total sample of 77 respondents. The results showed that the variables Age (p=0.001), Number of Children (p=0.001) and Knowledge (p=0.001) were related to postpartum contraceptive plans. Meanwhile, education level only at senior high school level (p=0.001) has an influence on postnatal contraceptive use plans. The conclusion is that postpartum contraceptive use increases with increasing maternal age, increases with increasing number of children, increases with maternal education and increasing knowledge. There is a need to increase understanding and knowledge of pregnant women about the importance of postnatal family planning through counseling and collaboration with village midwives.
DETERMINANTS OF FERTILITY PREFERENCE AMONG WOMEN AGED 15-49 YEARS IN CENTRAL JAVA PROVINCE (2022 FAMILY LIFE SURVEY ANALYSIS)
Authors: Ardiningsih Eka Setya , Agushybana Farid , Shaluhiyah Zahroh
Published: September 2024

Uncontrolled population growth is a significant challenge for societies and governments, particularly in the healthcare sector. Indonesia as the world's fourth most populous country, faces this issue with a Total Fertility Rate (TFR) of 2.45, falling short of the intended target of 2.1 for achieving balanced population growth. Furthermore, Central Java Province, one of the most populous regions, records a TFR of 2.27, which is also below the target. It's crucial to note that even a slight decrease in TFR in a populous province can have a significant impact on the national TFR. This research investigates the determinants of fertility preference among women aged 15-49 in Central Java Province, using 2022 Family Life Survey data from the National Population and Family Planning Board 2022. The results of bivariate analysis using the Chi-square test (α=5%) indicate that fertility desires had a significant association with age at first marriage, education, occupation, and health insurance participation, but not related to contraceptive use. Multiple logistic regression (α=5%) reveals that women of reproductive age who married at 21 or older (AOR=0.791; 95% CI:0.786; 0.796) and employed women (AOR=0.798; 95% CI:0.793;0.803) were less likely to desire more than two children. On the other hand, women with health insurance subscriptions were more likely to desire more than two children (AOR=1.129; 95% CI:1.121;1.137). These findings emphasize that promoting women's education and employment, enhancing adolescent reproductive health programs, and aligning healthcare and family planning policies are essential strategies to reshape fertility preferences among women of reproductive age in Indonesia.
Enhancing mechanical properties of foam concrete with sisal fiber reinforcement: An experimental investigation
Authors: Uzun Mehmet
Published: September 2024

In this study, we explore the possibility of using sisal fibers as an environmentally-friendly reinforcing agent for foam concrete. We aim to improve its physical properties by combining environmental friendliness with engineering practicality to create a durable material that can be used safely today and a supplier of ecological sustainability for tomorrow. Known for being lightweight and thermally insulating, foam concrete has very low tensile strength and ductility as compared with other materials. This is why its application is often limited in scope. We naturally think that adding sisal fibers, which are a high-performance and renewable resource in themselves, will improve these properties. It is well known that they have a tensile strength of more than 400 kg/cm, and their long, stiff lamellae further increase this advantage. As a result, we integrated sisal fibers at different mixing rates: 0 (no Sisal), 0.25g, 0.5g and so on up to 1% volume. After the test specimens were standardized like this they went into the hence examining each of these properties in turn. With a reasonable content of fibres, the mechanical properties of foam concrete improved significantly. It was observed that the properties of fresh concrete decreased slightly in the samples where 0.50% sisal fiber was used. However, the compressive strength increased by 12.9% compared to the reference sample, and the flexural strength increased by 2.85 times compared to the reference sample. This study not only confirms the feasibility of using sisal fibers to reinforce foam concrete theoretically, but it will also serve as a useful reference for the development of more sustainable scientific building materials. The author provides a discussion of their results and future directions for research on construction materials, highlighting environmental and economic benefits from incorporating natural fibers into these materials.
Influence of the distance between vertical cylinders positioned in a row on the wind load on them
Authors: Zdravkov Lyubomir A.
Published: September 2024

The silos and vertical cylindrical tanks of small volumes are often built in batteries, at short distances between them. As a result of their close location, the wind load on them increases. In the European standard EN 1991-1-4:2005+A1:2010 exists a methodology for determining this increase, which is dependent on the ratio a/d, where a is the distance between the facilities and d is their diameters. Unfortunately, this methodology is applicable for ratios a/d > 2.5. In cases where the values are smaller, the standard transfers to the national annexes. In the available to the author annexes, including the Bulgarian one, there is nothing on the subject. Moreover, the necessary information could not be found in the public scientific literature. Only in the Australian/New Zealand standard AS/NZS 1170.2:2011 are written some simple rules for closely spaced vessels. To fill this gap, multiple models of closely spaced cylindrical bodies has been created by the author. A computer fluid simulation (CFD) program is used for this purpose. In the present study, the bodies are arranged in one row and the wind blows them perpendicularly. Through these computer models is determined how the wind load changes due to their proximity. In contrast to what is stated in EN 1991-1-4:2005+A1:2010, the dependence is not linear, and the influence of the close arrangement of the bodies decays much faster. On the other hand, this influence should be considered at much greater distances between bodies than stated in AS/NZS 1170.2:2011.
Numerical Studies of the Influence of the Nature of the In-Chamber Flow on the Initial Period of Operation of the Gas Generator
Authors:   Keldysh Institute of Applied Mathematics, Shumikhin A. A. ,   Udmurt Federal Research Center UB RAS, Karpov A. I. ,   Keldysh Institute of Applied Mathematics, Lipanov A. M.
Published: September 2024

The ignition of a fuel pellet in a gas generator chamber is a time-consuming complex physico-chemical process. During the ignition of the checker, the operating conditions of the device differ significantly from the conditions of its operation in the main area of operation. In particular, an important characteristic of the initial stage is the pattern of flame propagation over the surface of the fuel. A computational algorithm for modeling unsteady turbulent flows of compressible viscous gas based on numerical integration of unsteady equations obtained using physical conservation laws was used to study the vortex flow of gas in the gas generator path and the ignition process of the fuel block. The method used a system of equations written in a cylindrical coordinate system. The computational algorithm is based on a modified flow vector splitting scheme (Steger – Warming scheme). The algorithm has the 2nd order of accuracy in space. The obtained results of numerical simulation of the gas flow in the gas generator allow us to investigate the patterns of development of the ignition process of the fuel block in time, depending on the nature of the gas flow in the combustion chamber.
The Good, the Bad and the Ugly! A Paradigmatic Analysis of Adultery Trope Variances in Movies
Authors: Karippara Malavika Sunil , Barclay Francis Philip , Sasidharan Akhila
Published: September 2024

To investigate sexist variances in narrative devices (or tropes) embedded in Malayalam movies, concerning portrayal of adultery, a semiotic analysis employing the Paradigmatic tradition is used. The analysis identifies and characterises three typical adultery tropes: the good adultery (between a married man and an unmarried woman who is in a long-term relationship with the adultering partner), the bad adultery (between a married man and a woman with unclear marital status, one who is engaged in flesh trade or an unmarried woman who is in a short-term relationship with the adultering partner); and the ugly adultery (between a [married or unmarried] man and a married woman in a short-term relationship). Gender discrimination is identified in these variations, about the roles the man and woman assume in the adultery, characterisation of them and their affairs, fabrication of narratives and the responses of the spouses (from acceptance and accommodation to rejection and revenge).
Shifting from State-Centric to Human-Based Security and Foreign Policy: A Conflict Management Technique in Nigeria?
Authors: Ugwu Obinna Christian , Ohabuenyi Jonas , Nnamani Kelechi Elijah
Published: September 2024

This study examined the efficacy of human-centered foreign and security policies in the management of insecurity in Nigeria. This highlights the limitations inherent to the dominant state-centric security mechanism in Nigeria. The study argues that the proliferation of traditional threats manifesting in the Boko Haram insurgency, Biafra separatist agitation, Niger Delta militancy, and Fulani herdsmen uprising were attributed mainly to the government’s disregard for socioeconomic gaps and political contexts that predispose people to aggressive behavior. Instead of addressing waves of insecurity, military operations complicate and widen their scope. The study, therefore, calls for a review of the existing security architecture and foreign policy objectives of the state in line with the principles of human security. Understanding the context of fueling and sustaining insecurity as well as evolving appropriate human-centric security and foreign policy measures are key to managing violent conflicts in Nigeria. Most importantly, appropriate constitutional provisions relating to human security should be strictly implemented, while professionals should be properly engaged in the task of developing and implementing foreign security policies in Nigeria.