bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Affecting Youtube Acceptance For Student Learning Needs
Authors: Nguyen Quoc Nghi , Le Thi Dieu Hien
Published: December 2023

This study was conducted to demonstrate the factors that influence Vietnamese students’ acceptance of YouTube for educational purposes. Qualitative and quantitative research methods are combined to test the research hypotheses. Research data was collected using quota sampling, with a sample size of 306 students studying at universities in Vietnam. Structural equation modeling (SEM) helps demonstrate that five factors positively affect the intention to use YouTube for student learning needs. These factors include performance expectancy, effort expectancy, hedonic motivation, social influence, and flexibility. Furthermore, research has demonstrated the positive impact of intentional use on the behavioral usage of YouTube for the educational requirements of Vietnamese students. The study provides a valuable reference for educational administrators and researchers.
Critical Thinking Process in Online Collaborative Learning Based on Different Group Metacognitive Regulation Levels
Authors: Li Nanzhe , Nurbiha A Shukor
Published: December 2023

Critical thinking (CT) is acknowledged as one of the core skills to survive in the future. Learner’s critical thinking skills (CTS) could be cultivated in online learning through collaborations, which are promoted by group metacognitive regulation (GMR). The existing studies on CTS mainly focus on improving students’ CTS levels but ignore the CT process. In this study, students collaborated online in small groups with the intervention of GMR for four tasks. GMR prompts were applied to guide students in regulating their collaboration. Facione’s CTS model was adopted to code students’ CTS for content analysis. Lag sequential analysis was conducted to reveal students’ CT processes based on different GMR levels. The result shows that GMR is positively significantly correlated with CTS. Students’ CT process differs upon at different GMR levels. High-GMR groups possess the highest frequency and balanced CT process, medium-GMR groups have the most sophisticated CT process, and low-GMR groups have the lowest frequency and simplest CT pattern, which reveals the usefulness of GMR in promoting students’ CTS.
Interaction, Self-Regulated Learning, and Learning Performance in Online Learning
Authors: Cai Qin , Comite Ubaldo , Tang Ying
Published: December 2023

With the extensive use of information technology, online learning has played an increasingly indispensable role in providing quality education. This study aimed to establish a learning effect model to identify the key factors in online education. Based on the system view, a conceptual model from environmental factors to learning performance was constructed from the perspective of learning interaction to study the internal mechanism of the impact of environmental factors on learning performance. An empirical study of 340 Chinese college students conducted showed that instructor supports have no significant direct impact on learning performance but indirectly impact through the intermediary role of learning interaction and self-regulated learning. Learning interaction and course design have a direct and indirect impact on learning performance. Various practical implications for educators to support their decisions are discussed and directions for further research are proposed.
Estructura político-territorial en el centro del México prehispánico: una síntesis preliminar para el estudio de la sociedad novohispana
Authors: Santamarina Novillo Carlos
Published: December 2023

Partimos aquí de una síntesis de la estructura político-territorial de la cultura prehispánica del área central mesoamericana –comúnmente conocida como azteca– en vísperas de la conquista española, para así acercarnos al estudio de la sociedad colonial temprana. La cultura hispana no se instaló en un territorio desierto ni implantó su dominio arrasando las sociedades indígenas, sino que en buena medida permitió una amplia continuidad de las estructuras preexistentes, lo cual, sin duda, constituye la razón profunda del éxito de la empresa colonial novohispana. Presentamos una serie de términos sociopolíticos propios de la sociedad azteca (altepetl, calpulli, tlatocayotl), así como los conceptos de dominación hegemónica y de malentendido recíproco de identidad, que han permitido una comprensión mucho más profunda de la sociedad indígena, antes y después de la conquista española. Finalmente, aplicamos nuestra perspectiva de análisis al caso de Azcapotzalco durante el periodo colonial temprano.
Estudio de las marcas de propiedad de miembros del episcopado francés, español e italiano entre los siglos xvii y xviii en la Biblioteca de la Casa de Velázquez
Authors: Bautista Antonio Carpallo , Olmos José María de Francisco , Sampedro Yolanda Isabel Bustamante
Published: December 2023

Las encuadernaciones con superlibros heráldicos se caracterizan por tener como principal motivo decorativo el escudo de armas de sus antiguos poseedores, lo que las convierte en uno de los mejores ejemplos del potencial de las encuadernaciones como fuente documental. A este valor como documento histórico debe unirse la enorme variedad de técnicas decorativas y constructivas, así como de materiales, que componen estas encuadernaciones y que las convierten en auténticas obras de arte funcionales. Las encuadernaciones heráldicas son un testimonio de las vidas de sus propietarios y en ellas se observan las distinciones que se les van otorgando, órdenes y condecoraciones, además de observarse los gustos estéticos y las técnicas disponibles en el momento de su ejecución. Son, por tanto, patrimonio histórico, artístico y tecnológico. En este trabajo se estudian las encuadernaciones con superlibros heráldicos de distintos miembros del episcopado francés, italiano y español.
Evolving Business Intelligence on Data Integration, ETL Procedures, and the Power of Predictive Analytics
Authors: Lavanya D. , Marupaka Divya , Rangineni Sandeep , Agarwal Shashank , Thammareddi Latha , Shynu T.
Published: December 2023

In today's fast-paced and data-driven corporate market, the capacity to fully utilize information is critical. Business intelligence (BI) is the foundation of informed decision-making, allowing firms to turn unprocessed information into actionable insights. It is a process that starts with understanding data integration methodologies and learning extract, transform, load (ETL) procedures, which serve as the foundation for effective BI systems. Businesses, and hence the BI landscape, are continually evolving in our rapid digital world. While an established basis in data integration is still essential, there is a compelling movement toward the future—a future in which predictive analytics, including machine learning, will play critical roles in influencing the way we extract value from data. This chapter will conduct a thorough examination of these key aspects. The authors begin by delving into the complexities of data integration, uncovering the processes and procedures that serve as the foundation for solid business intelligence operations.
A Study of the Analysis of the Blockchain Messaging Apps Market
Authors: Thakur Anusha
Published: December 2023

Distributed ledger and blockchain technologies have revolutionized the way businesses imagine and operate across organizational boundaries. Non-repudiation plays a vital role in communications to overcome disputes and establish trust. The incorporation of blockchain-based messaging enables the usage of a decentralized network of nodes, surmounting the conventional methods. Key market players are emphasizing accessing partnerships with technology-based companies, thereby bolstering its regional demand over the forecast period. This chapter focuses on market analysis and forecasting for the forecast period of 2021–2030 in terms of revenue. Further, the chapter briefly focuses on the determinants such as drivers, restraints, and opportunities impacting the market for blockchain messaging apps in different applications and end-user segments.
Emotional Intelligence and Job Performance in the IT Sector on the Mediating Effect of Occupational Role Stress
Authors: Chaudhary Manne Neelima , Srinivas G. , Hukkeri Sheetal V. , Vanitha B. , Nirmala M.
Published: December 2023

This research observes the connection between the major components such as emotional intelligence (EI), employee job performance (JP), and organisational role stress (ORS). There has been previous research that has been carried out pertaining to EI and JP. However, there have been a very limited number of studies where a third variable has mediated emotional intelligence and job performance variables. There are even fewer studies wherein organisational role stress has been considered as a mediator. Most of the studies pertaining to emotional intelligence have been carried out in the Western context, and very few Indian studies exist. The information technology (IT) sector is considered one of the most rapidly growing sectors in India, and there is very limited research on the EI of Indian employees in the IT sector; hence, the same has been covered in this study. The current study is descriptive, as the variables under investigation are continuous.
Unleashing the Potential
Authors: Blake John
Published: December 2023

Generative artificial intelligence, anchored by large language models (LLMs), is significantly altering the educational landscape. This chapter examines the impact of generative AI on education, illustrating its capability to create personalized content and transform learning environments. Despite concerns over academic dishonesty facilitated by LLMs, the chapter argues against a regressive stance and advocates for the constructive integration of AI into educational practices. By drawing on theories of learning, the chapter elucidates the pedagogical implications of generative AI and describes specific use cases in language learning, computer science, and mathematics. Highlighting both the potential and limitations of this emerging technology, the chapter posits that generative AI is not merely a disruptive force, but a revolutionary tool poised to redefine the methodologies of teaching and learning.
Professionally Ethical Ways to Harness an Art-Making Generative AI to Support Innovative Instructional Design Work
Authors: Hai-Jew Shalin
Published: December 2023

Instructional designers often pride themselves on using the most cutting-edge commercial authoring and other tools available to achieve their work. Their creations have to meet high technical standards in order to function in a digital environment, in learning management systems, content management systems, on social media, on digital content platforms, and others. In the present moment, generative AI tools enable the making of novel texts and digital visuals, among others. A major extant question is how best to harness generative art-making AIs in instructional design work. In this case, this work explores professionally ethical (and legal) ways to use a generative art-making AIs for ID work, as an innovative approach based on a review of the literature, a year of using several free web-facing art-making generative AIs (CrAIyon, Deep Dream Generator, and others) in open or public beta, and learning from applied instructional design work (over several decades).
Navigating the Terrain
Authors: Babu C. V. Suresh , Barath Kumar S.
Published: December 2023

The chapter provides an extensive exploration of Generative AI in education. It investigates the evolution and significance of AI in educational settings while delving into contemporary issues such as ethics, privacy, fairness, and pedagogy. Furthermore, it examines the impact on traditional teaching methods, personalization, and accessibility, addressing educational disparities. The chapter also outlines the best practices and lessons learned from case studies and successful institutions, pointing toward future directions, including emerging technologies like GPT-4 and augmented reality. It emphasizes advancing ethical guidelines, enhancing teacher-student collaboration with AI, proposing policy recommendations, and establishing legal frameworks for student data protection, along with government initiatives and funding in the realm of AI in education.
Artificial Intelligence as a Tool for Hybrid Education
Authors: Cortés Ruiz Sandra Viridiana
Published: December 2023

The chapter offers a reflection on the transformative role of AI in hybrid education. It highlights the advantages of this educational model, such as flexibility and accessibility, and the technological tools that facilitate learning and evaluation. It explores how AI can personalize teaching and assess student performance, without neglecting inherent ethical dilemmas such as data privacy and the risk of algorithmic bias. This chapter proposes generating an informed dialogue about the future of hybrid education in the era of artificial intelligence.
Professional Training in Tourism Through Hybrid Learning in Relation to Target 4.c of Sustainable Development Goal 4 Quality Education
Authors: Rivas García Rosa María , Budar Ma. del Rocio Vega
Published: December 2023

The World Tourism Organization indicates that 2022 has been the year to rethink tourism. Countries around the world turned UNWTO's vision of a greener, smarter, and more inclusive sector into real action. The objective of this research is to identify the characteristics of the training of tourism professionals through hybrid learning derived from the health contingency caused by COVID-19 and the relationship between goal 4.c of SDG 4, with the purpose of propose a scheme of tools used by teachers for the development of tourism professional competencies. To investigate the teaching practices developed in the pandemic context, an information matrix was used, which was designed based on learning management platforms (LMS), videoconference and online communication, online educational content, online collaboration tools, online evaluation and feedback, and interactive and multimedia resources. Likewise, a scheme of the competences that a professional in the tourism sector should acquire and develop in higher education institutions is proposed.
Examining Dimensions, Components, and Key Performance Indicators of Information Logistics in Industry 4.0
Authors: Bayanati Mahmonir
Published: December 2023

The emerging technologies that drive the fourth industrial revolution rely on the knowledge and systems of previous industrial revolutions. The goal of the fourth industrial revolution is to develop more agile, responsive, and customer-oriented manufacturing industries. In this era, technologies with their potential to revolutionize the production of goods and services intend to revolutionize the global economy as well. The technologies of the fourth industrial revolution, beyond the effects they probably have on economic inequality, can have significant negative side effects on various fields. As business becomes more competitive and complicated at the international level, the need for managers to pay attention to technology-based strategies in the new era is a competitive advantage for companies. For this reason, an effort has been made in this chapter to identify and evaluate the most important dimensions, components, and key performance indicators in the field of information logistics and intelligent supply chain by emphasizing the literature on the subject.
A Semantic Web-Based Systems Integration to Enhance the Quality of Supply Chain Management
Authors: Pal Kamalendu
Published: December 2023

Recent Semantic Web Technology developments indicate possible advancements in supply chain management. In particular, the innovative business process automation based on SWT attracted much interest from the logistics, manufacturing, packing, and transportation industries. This technology combines a set of new mechanisms with grounded knowledge representation techniques to address the needs of formal information modelling and reasoning for web-based services. This chapter provides a high-level summary of SWT to help better understand this technology's impact on broader enterprise information architectures. In many cases, it also reuses familiar concepts with a new twist. For example, "ontologies" for "data dictionaries" and "semantic model" for "data model." This chapter presents the usefulness of a proposed architecture by applying theory to integrating data from multiple heterogeneous sources, which entails dealing with semantic mapping between source schema and Resource Description Framework (RDF) ontology, which are described declaratively using a specific query language (i.e., SPARQL) queries. Finally, the semantics of query rewriting are further discussed, and a query rewriting algorithm is presented.
Resist With Traditional or Promoting Green
Authors: Khalil Shahid , Ghadiri Seyed Mohammadreza
Published: December 2023

Environmental issues emerge along with the development of firm performance, and it is a challenge to the business world. The aim of this study is to investigate the impact of green supply chain management (GSCM) practices on firm performance. In addition, this study also examined the role of green innovation in between GSCM and firm performance. The data is collected from 369 participants across 123 multinational corporations (MNCs) operating in Pakistan through purposive sampling technique. SmartPLS is employed to analyze the data. The results reveal that GSCM has positive and significant impact on green innovation and firm performance. Moreover, green innovation mediates the relationship between GSCM and firm performance. Researchers, practitioners, and industry leaders, while designing their environmental policies to experience the comparative benefits for both business and society, can use this influence of environmentally friendly practices.
Optimization of Anodizing Condition for Mg-14mass%Li-3mass%Al Alloy
Authors: Morishige Taiki , Takiyama Satoki , Ichigi Yuka , Takenaka Toshihide
Published: December 2023

Mg-Li system alloys also has excellent cold-workability compared to commercial hcp-structured Mg alloys. However, Mg-Li alloys have poor corrosion resistance because not only that is Mg-based alloy but Li as a major alloying element is a less noble metal. For example, Mg-Li alloy sheet indicates high corrosion rate and exfoliation corrosion as a result of long-term corrosion test. The authors reported Mg-14 mass%Li-3 mass%Al alloy has the highest corrosion resistance in β-type solid solution alloy. Even though the optimized alloy composition, the alloy does not have enough corrosion resistance for practical use. In this study, anodized coating on Mg-Li alloy using phosphate solution was investigated. Anodizing of Mg-Li alloy facilitates the dissolution of substrate because of high Li concentration in this alloy. Therefore, the anodizing conditions were widely examined. As a result, the coating with approximately 15-20 μm of the surface layer was successfully formed. The surface layer was composed of MgAl2O4 and some phosphorus compounds. The thickness of anodized layer varied with the anodizing conditions. The dense surface layer was formed at a certain anodizing voltage and the corrosion resistance of anodized Mg-Li alloys was improved. However, the surface has some cracks and large flaky compounds. The formation mechanism of dense layer during anodizing were discussed.
Boron Nitride Filled Thermoplastics for Passive Shielding of Space Electronics
Authors: Proietti Alice , Quadrini Fabrizio , Bellisario Denise , Iorio Leandro , Santo Loredana
Published: December 2023

Space environment is rich of high energy particles that form the radiation field. Human beings as well as electronic devices are susceptible to their action, even if the exposure time is limited. For this reason, radiation shields are needed to carry out safe space missions. Traditionally, in-space shielding frames are made up of aluminum, but more recent studies have shown that a good shielding efficiency can be achieved by hydrogen (H)-rich materials, as polyethylene (PE). Moreover, it was noticed that small mass atoms as H, boron (B) and nitrogen (N) can reduce secondary emissions. In this work, radiation shields of high-density PE (HDPE) filled with boron nitride (BN) have been manufactured. Since BN particles dispersion into the polymeric matrix strongly affects the composite shielding ability, 2 filling routes have been investigated. The first manufacturing strategy is about melt-mixing: HDPE is melted at 200 °C into a batch-mixer, then BN powder is inserted, and mixing is carried out until the torque exerted by the rollers reaches a plateau. Subsequently, the shield is obtained by molding and machining. The second strategy is about the filler spray deposition; BN is spayed on HDPE plates surface after which stacking occurred and consolidation is carried out at 130 °C for 24 h. At the end, machining is performed. The shields dimensions are 25x25x10 mm3 and 50x46x35 mm3, respectively. Both of them show a good level of agglomeration and a good fillers dispersion, with a final density close to the HDPE nominal value.
Microstructural Stability of a Metallic Thermal Barrier Coatings for Rocket Engine
Authors: Zhu Yong Sheng , Sun Yin Qiu , Luo Xiao Tao , Li Chang Jiu
Published: December 2023

Metallic thermal barrier coatings (TBCs) consisting of a bond coating and a top coating have been extensively utilized for protecting the walls of rocket combustion chambers. However, standard coating systems often encounter failures due to the significant differences in coating composition and thermal expansion coefficient compared to the substrate under high heat flux conditions. To protect liquid rocket combustion chamber walls, a novel metallic multilayer TBC system applied with atmospheric plasma spraying is developed in the present work. It attempted to deposit dense Ni-based alloy and Cu-based bonding coatings with low oxide contents achieved by introducing boron as a deoxidizer element through atmospheric plasma spraying. The structural stability of the TBC was assessed through high temperature thermal exposure experiments, while the thermal cycle life is evaluated using laser thermal shock. Results show that the NiCrCu2B and CuNi2B bonding coatings prepared through in situ deoxygenation effect of boron exhibit dense structures, low oxide content, and excellent bonding quality. The high temperature thermal exposure experiment reveals that the multilayer structural TBC can withstand 850 °C for 10 hours without the formation of Kirkendal effect pores. Moreover, the thermal cycling life results indicate that the multilayer structural TBC designed in this study, employing a composition gradient transition and the in situ deoxygenation effect of boron, possesses a significantly improved thermal cycle lifetime compared to traditional structural TBCs.
Formation Mechanism of Al2O3/HfO2 Eutectic Coating on SiC Substrate Using Light Focusing Method
Authors: Ueno Shunkichi , Seya Kyosuke , Sekino Tohru
Published: December 2023

In this paper, we discuss our previous experimental results and recent considerations on the preparation of solidified oxide eutectic coating on non-oxide ceramics by unidirectional solidification method using light focusing apparatus. As an example, an explanation is given here with regard to the formation mechanism of Al2O3-HfO2 eutectic coatings on SiC substrate. The Al2O3 component in oxide melt easily reacts with SiC and primary HfO2 phase solidified on SiC substrate. However, the solidified HfO2 phase also react with SiC substrate and HfC-HfO2 graded functional layer is formed on SiC substrate and Al2O3-HfO2 eutectic microstructure is formed on the graded functional layer
Study on the Deformation Mechanism of a Nonequiatomic AlCrMnFeNi High-Entropy Alloy at Cold and Warm Temperatures
Authors: Abdelghany Ahmed W. , Jaskari Matias , Hamada Atef S. , Gepreel Mohamed Abdel Hady , Järvenpää Antti
Published: December 2023

High-entropy alloys (HEAs) have led to breakthroughs in materials science due to their superior properties and the challenge of achieving the high strength and high ductility trade-off. Microstructural evolution during cold and warm compression tests of the single-phase Al8Cr12Mn25Fe35Ni20 high entropy alloy (Fe-HEA) is investigated in the present work. The current study assesses the effect of temperature on the mechanical properties and deformation mechanism of the face-centered cubic structure Fe-HEA. The arc-melted ingot is homogenized at 1473 K and then directly hot-rolled to break the cast structure of the alloy prior to testing procedures. Fe-HEA is tested through uniaxial compressive testing at three different selected temperatures: 293, 473, and 673 K utilizing a Gleeble thermo-mechanical simulator at a strain rate of 0.001 s-1. The compressive behavior at 673 K showed a higher strain hardening exponent when compared to 293 and 473 K. The deformed microstructural features of the compressed and quenched specimens, deformation mechanism, and phase revolution are investigated with X-ray diffraction (XRD) and electron backscattered diffraction (EBSD). Dislocation densities for the deformed conditions were estimated to be 4.11 × 1014 and 5.39 × 1014 m-2 for the 473 and 673 K deformed conditions, respectively. At a deformation temperature of 673 K, B2 precipitation is observed at the high-angle grain boundaries.
Feasibility study of a novel robotic system for transperitoneal partial nephrectomy: An in vivo experimental animal study
Authors: Faitatziadis Solon , Tatanis Vasileios , Katsakiori Paraskevi , Peteinaris Angelis , Gkeka Kristiana , Vagionis Athanasios , Spinos Theodoros , Tsaturyan Arman , Vrettos Theofanis , Kallidonis Panagiotis , Stolzenburg Jens-Uwe , Liatsikos Evangelos
Published: December 2023

Purpose: To evaluate the safety and feasibility of partial nephrectomy with the use of the novel robotic system in an in vivo animal model. Methods: Right partial nephrectomy was performed in female pigs by a surgical team consisting of one surgeon and one bedside assistant. Both were experienced in laparoscopic surgery and trained in the use of the novel robotic system. The partial nephrectomies were performed using four trocars (three trocars for the robotic arms and one as an assistant trocar). The completion of the operations, set-up time, operation time, warm ischemia time (WIT) and complication events were recorded. The decrease in all variables between the first and last operation was calculated. Results: In total, eight partial nephrectomies were performed in eight female pigs. All operations were successfully completed. The median set-up time was 19.5 (range, 15-30) minutes, while the estimated median operative time was 80.5 minutes (range, 59-114). The median WIT was 23.5 minutes (range, 17-32) and intra- or postoperative complications were not observed. All variables decreased in consecutive operations. More precisely, the decrease in the set-up time was calculated to 15 minutes between the first and third attempts. The operative time was reduced by 55 minutes between the first and last operation, while the WIT was decreased by 15 minutes during the consecutive attempts. No complications were noticed in any operation. Conclusions: Using the newly introduced robotic system, all the advantages of robotic surgery are optimized and incorporated, and partial nephrectomies can be performed in a safe and effective manner.
A systematic review and meta-analysis on the efficacy of preoperative renal artery embolization prior to radical nephrectomy for renal cell carcinoma: Is it necessary?
Authors: Rooseno Gullyawan , Hakim Lukman , Djojodimedjo Tarmono
Published: December 2023

Introduction: Radical nephrectomy for Renal Cell Carcinoma (RCC) is still the treatment of choice for all stages except for stage I and IV, which need patient selectivity. The purpose of Renal Artery Embolization (RAE) pre-operative before radical nephrectomy is to facilitate resection, reduce bleeding, and reduce the time to surgery, but the necessity of this procedure is still debatable. This study investigates the efficacy of pre-operative Renal Artery Embolization (PRAE) before radical nephrectomy for RCC patients. Methods: The systematic searches based on PRISMA guidelines were conducted in Pubmed, Scopus, Web of Science, Medrxiv, and ScienceDirect databases with pre-defined keywords. Both analyses, quantitative and qualitative, were performed to assess blood loss, transfusion rate, surgical time, Intensive Care Unit (ICU) stay, and hospital stay. Results: A total of 921 patients from 8 eligible studies were included. The blood loss was significantly lower in the PRAE group compared to the control group (p = < 0.00001; SMD -20 mL; 95%CI -0.29, -0.12). There is no statistically significant difference between RAE and without RAE in the transfusion rate nephrectomy (p = 0.53, OR 0.65; 95% CI 0.16, 2.57), mean operative time (p = 0.69; SMD 5.91; 95% CI -23.25, 35.07), mean length of hospital stay (p = 0.05; SMD 0.56; 95% CI 0.00, 1.12), and mean length of stay in the ICU (p = 0.45; SMD 11.61; 95% CI -18.35, 41.57) Conclusions: PRAE before radical nephrectomy significantly reduces blood loss in RCC patients but is similar in the surgical time, transfusion rate, and length of hospital stay and ICU stay.
The prophylactic omentectomy procedure in reducing the complication rate of continuous ambulatory peritoneal dialysis in pediatric: A systematic review and meta-analysis
Authors: Duarsa Gede Wirya Kusuma , Sugianto Ronald , Tirtayasa Pande Made Wisnu , Saniti Ni Made Apriliani , Duarsa Komang Harsa Abhinaya
Published: December 2023

Introduction: The role of the omentectomy procedure on Continuous Ambulatory Peritoneal Dialysis (CAPD) catheter placement in pediatric patients has been differently evaluated in the literature, with some studies showing improvement while others showing no difference. Our study aims to define the advantages of omentectomy compared to a procedure without omentectomy. Methods: The literature searching in online databases (PubMed/MEDLINE, Cochrane Library, EMBASE, Scopus, and ClinicalTrial.gov) following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines, has been registered on PROSPERO (CRD42023412846). The protocol was performed through April 2023 and focused on pediatric patients treated with an omentectomy procedure and related complications. The risk of bias in each study was assessed using the risk of bias for the non-randomized control trials (ROBINS-I). The effect estimates were extracted as risk ratios with 95% confidence intervals (CI). The heterogeneity of the studies was considered as high heterogeneity if I2 values above 50% or p < 0.05. Results: In the total of 676 articles identified in the database searching for screening, nine studies with 775 patients met the criteria for inclusion. The omentectomy procedure significantly showed a lower incidence of catheter obstruction compared to the control group, (OR 0.24 [95% CI, 0.12-0.49], p < 0.0001, I2 = 0%). Moreover, omentectomy demonstrated a similar trend in the rate of removal or reinsertion of the catheter with high heterogeneity, OR 0.25 [95% CI, 0.12-0.51), p = 0.0002, I2 = 70%). Conclusions: The omentectomy procedure showed a lower incidence of catheter obstruction and complications leading to removal or reinsertion of the catheter.
Painful burning lesions on the chest wall of a patient with advanced breast cancer
Authors: Poggiali Erika , Braho Etilda , Bertè Raffaella
Published: December 2023

A 90-year-old woman presented at our emergency department complaining of dyspnea (sO2 88% on room air, respiratory rate 24/min) and severe (NRS 8/10) burning chest pain. Ten years earlier, she had undergone a bilateral radical mastectomy and radio-chemotherapy for breast cancer. In September 2023, she developed some nodules on her chest skin treated with electrochemotherapy, multiple liver lesions, and a bilateral paraneoplastic pleural effusion.
Analyzing the Current Umbilical Cord-derived Mesenchymal Stem Cell Secretome Evidence for Erectile Dysfunction Management
Authors: Margiana Ria , Abdullah Muhammad Fadhli , Pakpahan Cennikon , I'tishom Reny , Supardi Supardi , Saoemi Huriyah Adani , Bac Nguyen Hoai
Published: December 2023

Erectile dysfunction (ED) impacts millions of men, especially older men, and current treatment options, including tadalafil, phosphodiesterase type 5 inhibitors, and short-acting testosterone, are ineffective. This necessitates the immediate development of effective alternative ED treatments. In recent years, attention has been drawn to the secretome of umbilical cord-derived mesenchymal stem cells (UC-MSCs) due to its anti-inflammatory and immunomodulatory properties, which can reduce inflammation and promote tissue repair. The UC-MSCs secretome contains numerous growth factors, such as vascular endothelial growth factor, insulin-like growth factor 1 (IGF-1), and basic fibroblast growth factor (bFGF), which are essential for promoting endothelial cell proliferation and penile blood flow. This review seeks to examine the existing evidence on the use of stem cells, with a focus on UC-MSCs secretome, as a potential treatment modality for erectile dysfunction (ED). By reviewing the PubMed, Google Scholar, and Scopus databases, a comprehensive narrative review was conducted. Included among the search queries were "erectile dysfunction," "stem cells," "mesenchymal stem cells," "umbilical cord," and "secretome." Only research published in English within the past decade was included in the analysis. The findings indicate that the secretome of UC-MSCs has promise for treating ED. The secretome is composed of growth factors, cytokines, and other bioactive compounds that promote tissue repair and regeneration via paracrine effects on adjacent cells. The administration of UC-MSCs improved erectile function, penile blood flow, and smooth muscle content. In addition, discarded UC-MSCs serve as a cost-effective and copious source of ethically acceptable and immunogenic UC-MSCs with low immunogenicity. The secretome of UC-MSCs offers a potential therapeutic strategy for treating erectile dysfunction. However, further preclinical and clinical research must be done to determine the safety and efficacy of stem cell-based treatments for erectile dysfunction.
The Beneficial Effect of Intravenous Iron Administration for Chronic Heart Failure: An Updated Meta-analysis and Systematic Review
Authors: Andrianto  , Rinjani Lalu Galih Pratama , Nugraha Ricardo Adrian , Harsoyo Primasitha Maharany , Jonatan Michael , Luke Kevin , Hermawan Hanestya Oky , Matsumoto Takashi
Published: December 2023

Introduction:

Around 50% of patients with heart failure (HF) have an existing iron deficiency (ID), with or without anemia. With such a high prevalence, more research is underway to determine whether addressing ID can improve HF.

Aims:

This study aimed to critically evaluate the beneficial effects of intravenous iron administration for chronic HF.

Methods:

Studies were searched in Medline, Embase, and Cochrane for trials investigating the effect of iron supplementation on chronic HF patients. Outcomes of HF and all-cause hospitalizations, as well as cardiovascular-related and all-cause mortalities, were observed. We calculated the odds ratios (ORs) using fixed and random-effect models. The bias was evaluated by funnel plots and Egger's regression tests. Statistical analysis was conducted using RevMan (version 5.4.1).

Results:

Five studies with a total sample size of 1646 subjects were included in this meta-analysis and systematic review. Four studies reported the all-cause mortality of intravenous iron supplementation for HF. None of them provided evidence for the association between intravenous iron supplementation and all-cause mortality (OR = 0.75, 95% confidence interval [CI] 0.38–1.50, P = 0.42, I

2

= 0%, fixed effect). Four studies established that intravenous iron therapy significantly decreased hospitalization due to HF (OR = 0.56, 95% CI: 0.34–0.94, P = 0.03, I

2

= 53%, random effect).

Conclusion:

Iron supplementation does confer the benefit of iron supplementation in patients with chronic, stable HF with regard to HF hospitalization despite not showing significant associations in all-cause hospitalization, cardiovascular death, or all-cause mortality.
In silico Approach of Some Selected Manuka Honey Constituents as Epstein–Barr Virus (EBV) Nuclear Antigen 1 (EBNA1) Inhibitors
Authors: Romdhoni Achmad Chusnu , Yunus Mohd Razif Mohamad
Published: December 2023

Introduction:

Epstein–Barr virus (EBV) is a carcinogenic cofactor for some epithelial and lymphoid cell malignancies. EBV is associated with most endemic forms of Burkitt lymphoma and nasopharyngeal carcinoma (NPC). In cell proliferation, the maintenance of the latent genome virus depends on the function of the Epstein–Barr Nuclear Antigen 1 (EBNA1) protein. EBNA1 is essential for the survival of primary B-lymphocytes after EBV infection. Manuka honey, black honey from the manuka tree, is in the spotlight for its biological composition and antiviral activity, namely flavonoids and polyphenolic components that provide antimicrobial, antiviral, and antioxidant effects. This research is an alternative therapy for NPC that causes by EBV infection.

Methods:

A molecular docking approach was used to evaluate the activity of 17 active manuka honeybee product compounds for the ability to inhibit the EBNA1-EBV using the Chimera 1.16 program, SPHGEN program, SPHERE_SELECTOR program, SHOWBOX program, GRID program, and ANTECHAMBER program.

Results:

All 17 of the ligands demonstrated good binding affinity with the receptor in different ways. Three compounds had a strong binding affinity with a good grid score and may inhibit the EBNA1-EBV and replication of the virus.

Conclusion:

Leptosin has potential activity as an EBNA1 inhibitor candidate compound that may have potential for treatment of EBV latent infection. This is supported by a gridscore of −61.49 kcal/mol, which is close to the drug candidate (VK-0497), which has a gridscore of −63.32 kcal/mol.
Outcome and Management of Bladder Trauma at a Tertiary Hospital in Indonesia: 7 years' Experience
Authors: Fauzan Ahmad , Azmi Yufi Aulia , Soetanto Kevin Muliawan , Djojodimedjo Tarmono
Published: December 2023

Introduction:

Traumatic bladder injury accounts for a third of all urological traumas. Numerous sociodemographic and geographic aspects affect the features of trauma, which are key stages in producing unique techniques or concepts that may be adapted to a range of countries and circumstances. This study aimed to characterize the bladder trauma patients admitted to Dr. Soetomo General Academic Hospital during a 7-year period.

Methods:

This descriptive study utilized retrospective analysis at Dr. Soetomo Hospital, Indonesia. ICD-10 codes were used to identify patients with bladder trauma in Surabaya, Indonesia, from August 2013 to December 2020. Medical records were checked for data collection. Age, gender, hemodynamic status, etiology, classification, concurrent organ injury, treatment, and outcome were all noted.

Results:

A total of 58 bladder trauma instances were detected utilizing medical record data. Males formed the majority of hospitalized patients (74.9%), with a mean age of 35.16 ± 12.08 years, and the majority of bladder trauma cases were caused by motor vehicle accidents (MVAs) (94.8%). Grade III trauma (46.6%) predominated, as did careful treatment (60.3%). Pelvic trauma was the most typically occurring bladder trauma-related injury (72.4%). The survival rate was high (86.2%), and the hemodynamic status was stable (79.3%).

Conclusions:

In our study, a majority of the participants were male, grade III, stable, and had a decent survival rate. In addition, the most prevalent cause was MVA, with pelvic trauma being the most common concomitant injury. Additional investigation, including numerous sites and a bigger sample size, is necessary.
Bell Palsy Incidence in Patients with Post-COVID: A Retrospective Study
Authors: Afza Tasmiya , Kumar Vinod K.C. , Subramanian Shenbaga Sundaram , Pragassame Arul , Sureshkumar Sugasri , Eswaramoorthi Vijayamurugan , Kajamohideen Syed Abudaheer , Jayaraman Mahendran , Alkhob Shadi Abdelbaset , Alfawaz Saad
Published: December 2023

Bell palsy is caused by impaired functioning of the 7th cranial nerve. A disparity in the stable state of the cytokine regulatory axis and a cytokine storm are observed to occur from the binding of the ACE2 to the COVID, and the subsequent functional alterations in the ACE2/AT2R suggest that COVID-19 may use direct or indirect processes to produce neurological symptoms. Increased cases of Bell palsy were reported during the CoV pandemic, so our study aimed to estimate the incidence rate of Bell palsy among COVID-19 patients in South Bangalore, India. Secondary data of patients with Bell palsy were obtained retrospectively from two multispecialty Hospitals in South Bangalore. COVID positive populations were collected between the period of March 2021 and February 2022, and many Bell palsy cases within 3 months of post-Covid period were included. Confirmatory calls were made for patients with Covid Positive who were not diagnosed to discover the occurrence of Bell palsy. A retrospective analysis of Bell palsy cases found 11 incidences between March 2021 and February 2022, when there were 1577 COVID patients in total. According to descriptive statistical analysis, the prevalence of Bell palsy increased by 0.7% during the COVID-19 pandemic. Bell palsy could be considered one of the neurological complications among COVID-19 patients, and appropriate preventative measures should be taken.
Tenofovir-based first-line regimen in newly diagnosed HIV-patients
Authors: Bandyopadhyay Arkapal , Palepu Sarika , Saini Bhawna , Chaurasia Rakesh Chandra , Yadav Rakesh Kumar
Published: December 2023

Introduction:

India has a huge burden of HIV/AIDS infection. Tenofovir-based first-line therapy is the preferred treatment for newly diagnosed cases of HIV infection.

Materials and Methods:

The present prospective study was done among newly diagnosed cases of HIV infection. The patients were followed up for 6 months from the day of enrollment. Sociodemographic parameters, CD4 counts, and adverse drug reactions (ADRs) were analyzed at baseline and after 6 months. Bivariate and multivariate logistic regression was performed with the occurrence of ADRs as outcome variable.

Results:

In this study, 67 patients were enrolled with a mean age of 32.75 (±14.39) years. Mean CD4 count at the start of treatment was 241.5/mm3. The mean difference in CD4 count was 383.05/mm3 (standard deviation = 274.9). Dizziness, tingling, numbness of extremities, and muscle cramps were the most common adverse effects. On multivariate logistic regression, the occurrence of ADRs was seen to be significantly higher only in illiterate patients.

Conclusion:

The present study highlights the importance of long-term follow-up of the patients on antiretroviral therapy. Adequate monitoring of the treatment parameters is of utmost importance.
Assessment of the Dosimetric Performance of the Mobius3D against Portal Dose Measurements in Patient-specific Quality Assurance
Authors: Labagnoy Yasmine Joy M. , Oonsiri Sornjarod , Vimolnoch Mananchaya , Kingkaew Sakda
Published: December 2023

Aim:

The Mobius3D software addresses limitations lacking in measurement-based methods in patient-specific quality assurance (QA). The objective of this study was to validate its dosimetric performance against conventionally used portal dose measurements using gamma analysis and confidence limits.

Materials and Methods:

A total of 240 patient-specific QA plans for the Varian Halcyon linear accelerator were collected. The Mobius3D software was commissioned through beam data and plan verification. All plans underwent QA through the electronic portal imaging device, coupled with the Portal Dosimetry software, and the Mobius3D. Data were assessed using >95% gamma pass. Portal measurements were evaluated using 3%/2 mm and 3%/3 mm criteria, whereas Mobius3D was analyzed at 3%/3 mm and 5%/3 mm, at the 10% threshold.

Results:

Mobius 5%/3 mm mean gamma passes were 99.89% for volumetric-modulated arc therapy (VMAT) and 99.31% for intensity-modulated radiotherapy (IMRT), and correspondingly, the data for portal 3%/2 mm were 99.99% and 99.96%. The Mobius3D at 5%/3 mm can perform like Portal 3%/2 mm for VMAT plans at 0.1% difference, especially for head/neck and pelvic/abdominal cases. In IMRT-based treatments, at 0.7% difference in Mobius3D 5%/3 mm and Portal 3%/2 mm, the performance and error identification in IMRT plans should be applied more carefully due to the amount of failed plans, particularly the chest region. The confidence limits for VMAT plans for Portal 3%/2 mm and Mobius 5%/3 mm are 99.93% and 99.42%, respectively, while for IMRT plans are 99.69% and 97.43%, respectively.

Conclusions:

At a 5%/3 mm criterion, the Mobius3D may yield percentage gamma pass rates like measurements obtained by Portal Dosimetry 3%/3 mm and Portal Dosimetry 3%/2 mm. As the software is largely dependent on commissioned data, rigorous commissioning and a comprehensive QA program should be implemented.
Clinical Utility of Arterial Spin Labeling Magnetic Resonance Imaging in the Evaluation of the Brain
Authors: Pobbati Harshavardhan , Ghosh Sumit Kumar , Gautam Deeksha
Published: December 2023

Introduction:

Cerebral blood flow (CBF) is essential for studying the brain in both normal and diseased states. Arterial spin labeling (ASL) is a functional magnetic resonance imaging (MRI) technique that uses arterial water as an endogenous tracer to measure CBF, thus does not require an injection of exogenous tracers and is noninvasive and can therefore be used to track changes in CBF.

Materials and Methods:

This prospective, observational and descriptive study was done at the department of imaging, Maxcure Hospital, Hyderabad, for the duration of 18 months. All studies were performed on a 1.5T Philips Prodiva CX using a phased array coil.

Results:

A prospective observational and descriptive study was done among 100 patients to study the clinical utility of ASL. Out of 100 patients, 20 (20%) patients showed normal MRI findings. Rest 80 (80%) patients had abnormal MRI findings.

Conclusion:

ASL provides additional and complementary information to that available from structural MRI in all categories of abnormalities.
Dosimetric Analysis of Rhizophora-based Phantom Material in Radiation Therapy Applications Using Monte Carlo GATE Simulation
Authors: Zuber Siti Hajar , Hadi Muhammad Fahmi Rizal Abdul , Samson Damilola Oluwafemi , Jayamani Jayapramila , Rabaiee Nor Ain , Aziz Mohd Zahri Abdul , Hashikin Nurul Ab. Aziz , Ying Chee Keat , Yusof Mohd Fahmi Mohd , Hashim Rokiah
Published: December 2023

Purpose:

This study aims to determine the percentage depth dose (PDD) of a phantom material made from soy-lignin bonded Rhizophora spp. particleboard coated with a gloss finish by using Monte Carlo Geant4 Application for Tomographic Emission (GATE) simulation.

Materials and Methods:

The particleboard was fabricated using a hot pressing technique at target density of 1.0 g·cm−3 and the elemental fraction was recorded for the simulation. The PDD was simulated in the GATE simulation using the linear accelerator Elekta Synergy model for the water phantom and Rhizophora phantom, and the results were compared with the experimental PDD performed by several studies. Beam flatness and beam symmetry were also measured in this study.

Results:

The simulated PDD for Rhizophora and water was in agreement with the experimental PDD of water with overall discrepancies of 0% to 8.7% at depth ranging from 1.0 to 15.0 cm. In the GATE simulation, all the points passed the clinical 3%/3 mm criterion in comparison with water, with the final percentage of 2.34% for Rhizophora phantom and 2.49% for the water phantom simulated in GATE. Both the symmetries are all within the range of an acceptable value of 2.0% according to the recommendation, with the beam symmetry of the water phantom and Rhizophora phantom at 0.58% and 0.28%, respectively.

Conclusions:

The findings of this study provide the necessary foundation to confidently use the phantom for radiotherapy purposes, especially in treatment planning.