bluuebunny/crossref_metadata_2025 huggingface dataset:
Interoceptive Ability and Emotion Regulation in Mind–Body Interventions: An Integrative Review
Authors: Lazzarelli Alessandro , Scafuto Francesca , Crescentini Cristiano , Matiz Alessio , Orrù Graziella , Ciacchini Rebecca , Alfì Gaspare , Gemignani Angelo , Conversano Ciro
Published: November 2024

It is increasingly recognized that interoceptive ability, the capacity to detect, interpret, and consciously integrate signals related to the physiological condition of the body, is central to emotion experience and regulation. Interoceptive ability can be trained and improved through mind–body interventions. This article attempts to provide an integrative review of the link between interoceptive ability and emotion regulation in mind–body interventions. To this aim, (1) we address the constructs of interoceptive ability and mind–body interventions in relation to the double pathway of emotion regulation, and (2) we include a review of selected empirical and qualitative studies. These show that mindfulness meditation affects the brain–body axis through top-down processing, improving both interoceptive ability and emotion regulation. Interventions based on bottom-up processing through body movement and emotional expression are illustrated, but it is argued that they are still under-investigated. In light of the literature reviewed, we contend that interoceptive ability is a crucial aspect associated with the effects of mind–body interventions on emotion regulation. Additionally, we suggest that if studied through both quantitative and qualitative methods, interoceptive ability may serve as a general construct that allows a more integrated view of the polarities related to the spectrum of embodied experience: top-down and bottom-up emotion processing, observational and non-observational body awareness, conscious and unconscious level of interoception.
Personal Relative Deprivation and Online Aggression in College Students: A Moderated Mediation Model of Revenge Motivation and a Violent Attitude
Authors: Zhu Wenfeng , Yang Yuguang , Tian Xue , Huang Yongchao , Bai Xuejun
Published: November 2024

While personal relative deprivation (PRD) is recognized as a potential risk factor for aggression, the mechanisms underlying this relationship are not well understood. This study investigates how revenge motivation mediates the link between PRD and online aggression, as well as how a violent attitude moderates this connection. A total of 1004 college students completed self-reported measures on demographic factors, PRD, online aggression, revenge motivation, and violent attitudes. The findings revealed a positive correlation between PRD and online aggression, with revenge motivation serving as a mediating factor. Additionally, a violent attitude was found to moderate the relationship, indicating that PRD had a stronger association with online aggression in individuals with higher violent attitudes compared to those with lower attitudes.
Integrating Generative Artificial Intelligence and Problem-Based Learning into the Digitization in Construction Curriculum
Authors: Maalek Reza
Published: November 2024

This study proposes incorporating generative artificial intelligence large language models (LLMs) into the Master of Science (M.Sc.) curriculum on digitization in construction. The aim was to help students generate computer code to solve, automate, and streamline practical challenges in advanced construction engineering and management (CEM). To this end, a host of problem-based learning (PBL) individual assignments and collaborative team projects were developed, alongside a combination of flipped classroom models and blended learning lessons, in order to teach effective interactions with LLMs and mitigate concerns, such as bias and hallucination. The effective interaction with LLMs not only facilitated code generation, which would otherwise be complex without additional formal training, but also provided a platform for strengthening basic project management skills, such as departmentalization, work breakdown structuring, modularization, activity delegation, and defining key performance indicators. The effectiveness of this approach was quantitatively and qualitatively evaluated within two new modules, Digital Engineering and Construction and Digital Technologies in Field Information Modeling. These modules were offered over three semesters each as part of a new M.Sc. program in Technology and Management in Construction at the Karlsruhe Institute of Technology. It was observed that 86.4% of students fully completed the PBL projects, while the remaining 13.6% achieved over 50% completion across all six semesters. Furthermore, anonymous student surveys indicated a teaching quality index of 100% in five semesters and 96.4% in one semester. These preliminary results suggest that the proposed strategy can be used to effectively integrate LLMs to support students in code generation for open-ended projects in CEM. Further research was, however, found to be necessary to ensure the sustainable revision and redesign of the problems as LLM capabilities evolve.
Comprehensive Study on Dynamic Modulus and Road Performance of High-Performance Asphalt Mixture
Authors: Liu Qi , Lu Jiakai , Zhang Zhiqiang , Chen Zhiang , Wang Tao , Zheng Qi
Published: November 2024

Asphalt pavement durability significantly impacts the service life of roads, and hence, understanding the performance of high-performance asphalt mixtures is crucial. This study investigates the performance of four high-performance asphalt mixtures: heavy-load AC-20, high-viscosity AC-20, heavy-load SMA-13, and heavy-load SMA-10. Linear Amplitude Sweep (LAS) tests revealed that heavy-load asphalt mixtures exhibit superior fatigue resistances, with the fatigue life of heavy-load SMA-13 exceeding 1.5 times that of high-viscosity AC-20 under similar stress levels. Bending Beam Rheometer (BBR) tests at −6 °C, −12 °C, and −18 °C demonstrated that both heavy-load and high-viscosity asphalts had comparable low-temperature crack resistance, with heavy-load SMA-13 showing a stiffness modulus of 627 MPa at −18 °C. Marshall tests indicated that heavy-load AC-20 had the highest stability (14.3 kN) among the tested mixtures, while heavy-load SMA-13 exhibited the highest density (2.603 g/cm3). Dynamic modulus tests spanning a frequency range of 10−4 Hz to 105 Hz at various temperatures showed that heavy-load SMA-13 had a higher dynamic modulus than heavy-load SMA-10, particularly at lower frequencies (higher temperatures). Rutting tests at 60 °C indicated that heavy-load SMA-13 had the lowest rut depth (18.5 mm), outperforming other mixtures by up to 25%. The heavy-load SMA-13 asphalt mixture demonstrated the best overall performance, especially in terms of high-temperature stability, fatigue resistance, and rutting resistance. This study provides essential material performance parameters for the development of durable high-performance asphalt pavement structures.
The Interplay Between Safety Leadership and Construction Workers’ Safety Behavior: Do Perceived Employer Safety Obligations Matter?
Authors: Elosta Marwan , Alzubi Ahmad
Published: November 2024

In an industry where safety is paramount yet frequently compromised, the transformative impact of safety leadership on workers’ safety behavior illuminates a path to reducing construction hazards and fostering a culture of proactive safety practices. Combining transformational leadership theory, social exchange theory, and the theory of planned behavior, this research examines the complex interplay between safety leadership and safety behavior through the mediating role of safety knowledge, specifically investigating how perceived employer safety obligations moderate these relations. Based on 359 cross-sectional data obtained from construction industry professionals in Istanbul, Turkey, it was found that safety leadership significantly boosts safety behavior and safety knowledge, with safety knowledge serving as an effective mediator. Although perceived employer safety obligations did not moderate the affect the safety leadership on safety knowledge, they significantly moderated the link between safety leadership and safety behavior, as well as between safety knowledge and safety behavior, emphasizing the crucial role of perceived employer safety obligations in enhancing safety practices and outcomes. This study substantially enhances the construction safety management literature by elucidating the intricate dynamics between safety leadership and safety behavior and the pivotal role of perceived employer safety obligations. It offers robust theoretical advancements and practical strategies, enabling construction firms to leverage safety leadership for improved workplace safety outcomes and organizational performance.
Holistic Assessment for Social Housing Retrofitting: Integrating Seismic, Energy, and Social Aspects in the REHOUSE Project
Authors: Santarsiero Giuseppe , Misceo Monica , Aversa Patrizia , Candigliota Elena , Di Micco Antonio , Hugony Francesca , Manfredi Vincenzo , Marghella Giuseppe , Marzo Anna , Masi Angelo , Pfister Valerio , Tamburrino Salvatore , Tatì Angelo , Tripepi Concetta , Ventura Giuseppe , Luprano Vincenza Anna Maria
Published: November 2024

There are many existing buildings for which seismic rehabilitation interventions are required, especially in earthquake-prone areas like Italy. At the same time, the huge energy cost increase in Europe highlights the need for sustainable techniques that are able to increase the energy efficiency of buildings. These issues are even more significant for weak social groups living in social housing buildings, often in poor and vulnerable conditions. In order to address the solution regarding building renovations from the social, structural, and energy efficiency perspectives, in the framework of the Horizon Europe REHOUSE (Renovation packagEs for HOlistic improvement of EU’s bUildingS Efficiency, maximizing RES generation and cost-effectiveness) Project, this paper proposes an integrated methodology of building assessment that was tested on a social housing building in Margherita di Savoia, a small town of Apulia Region, Italy. In addition to the structural and energy aspects, the social one is particularly important since the building is located in the “Capitanata Area”, considered to be one of the most socially vulnerable areas in Italy. For this reason, an assessment methodology must consider reducing the overall impact of the assessment activities while explaining to tenants the purpose of the assessment and future renovation actions, maintaining the accuracy of the assessment results. Therefore, this study outlines an assessment methodology, demonstrated through its application to the case study building, that integrates the structural, energy, and social aspects, showing that the tenants’ involvement is also crucial for the technical evaluations. The final result is a low-impact approach for the building knowledge gathering needed to start a deep renovation intervention in social housing.
Heavy Metal Pollution and Solutions for Its Control: General Aspects with a Focus on Cobalt Removal and Recovery from Aqueous Systems
Authors: Dobre Tănase , Isopencu Gabriela Olimpia , Bdaiwi Ahmed Shaalan , Deleanu Iuliana Mihaela
Published: November 2024

Heavy metal pollution is a worldwide and stringent concern following many decades of industrialization and intensive mining without (in some cases) consideration for environmental protection. This review aims to identify the existing and emerging techniques for heavy metals (HM) removal/recycling from water and wastewater, with an emphasis on cobalt. Unlike many other heavy metals, cobalt has not been considered a detrimental element for the environment and human beings until recently. Thus, several methods and applicable techniques were evaluated to identify the best treatment approaches applicable to cobalt-polluted water and wastewater. The most feasible depollution methods adapted to the source, environment, and economic conditions were investigated and concluded. The operations and processes presented in this paper are conventional and innovative as well, including precipitation, membrane separation, with emphasis on ultrafiltration (UF) and nanofiltration (NF), but also reverse osmosis/forward osmosis (RO/FO), sorption/chemisorption processes, flotation/mechanical separation operations combined with coagulation/flocculation, photocatalysis, and electrochemical processes. For each one, depending on the frequency of use, physicochemical mechanisms and optimal operational conditions were identified to carry out successful cobalt removal and recovery from aqueous environments.
Hasn’t Child Abuse Been Overlooked? An Evaluation of Abused Children Who Visited the Emergency Department with Sentinel Injuries
Authors: Kim Han Bit , Noh Hyun
Published: November 2024

Objective: Effective child abuse intervention requires understanding its prevalence. While obtaining a comprehensive national estimate of child abuse cases is challenging, sentinel injuries—minor yet unusual injuries like bruises or wounds in pre-cruising-age children—can provide an indicative measure. Using the National Emergency Department Information System (NEDIS) data, this study aimed to gauge the prevalence of sentinel injuries using diagnostic codes in children under 12 months who visited emergency centers in South Korea and to evaluate the extent of child abuse screening in these cases. Methods: This cross-sectional study used diagnostic codes indicative of sentinel injuries previously defined using the Delphi method. This study, using NEDIS data, included children under 12 months who visited emergency centers nationwide from 2014 to 2021 for reasons of injury. Children injured in car accidents were excluded. Independent variables included patient demographics, the injury mechanism, intentionality, the route of arrival, the emergency center level, the triage level, and specialist consultation. Dependent variables were the presence of a sentinel injury code, and whether diagnostic tests for child abuse were conducted. Results: Based on NEDIS and national statistical data, the frequency from 2014 to 2021 averaged 2501 per 100,000 of the population. Of the 186,065 patients studied, 63,131 (33.9%) had a diagnostic code corresponding to a sentinel injury. The proportion of patients undergoing diagnostic tests for suspected child abuse was 36.9% for those with sentinel injuries and 43.8% for those with other codes. The percentage of children with sentinel injuries receiving diagnostic tests increased annually, from 32.4% in 2014 to 54.4% in 2021. By institution, the rates were 36.4% for regional emergency centers, 38.4% for local emergency centers, and 20.0% for local emergency institutions. Conclusions: A significant proportion of children presenting to emergency departments had sentinel injury codes. However, the rate of diagnostic tests conducted for suspected child abuse in these cases remains suboptimal. Although there has been an upward trend in testing rates in recent years, there is a pressing need for increased attention to and enhancement in screening for child abuse among children with sentinel injury codes.
Identifying Facilitators and Barriers to Neonatal Intensive Care Unit Visitation in Mothers of Low Socioeconomic Status: A Qualitative Investigation
Authors: McCarty Dana B. , Ferrari Renée M. , Golden Shelley , Zvara Bharathi J. , Wilson Wylin D. , Shanahan Meghan E.
Published: November 2024

Background/Objectives: The experience of parenting in a highly medicalized, unnatural environment can result in impaired mother–infant bonding, but increased maternal presence at the infant’s bedside has been associated with improved infant and maternal outcomes. The primary objective of this study was to explore barriers and facilitators during the NICU Experience in regard to maternal presence in an NICU. Methods: We interviewed 12 mothers (7 Black, 5 white) of low socioeconomic status (SES) whose preterm infants (average birth gestational age of 27 weeks) were currently hospitalized in an NICU. We engaged the NICU Family Advisory Board in all steps of the research process. Results: Barriers and facilitators to maternal presence spanned all levels of the Socioecological Model; however, barriers were mostly at the societal, community, and institutional levels, while facilitators varied based on interpersonal and individual-level factors. Assets that mothers accessed to facilitate visits, such as free housing and shuttle services, were not available to all mothers based on individual circumstances (e.g., caregiving responsibilities). While a few mothers identified negative interactions with health care practitioners, these encounters were not attributed to racism or described as barriers to visitation. Conclusions: Hospitals can support families with infants in an NICU by providing free or inexpensive short-term sibling support, alleviating the burden of parking costs, and communicating early and frequently about available institutional resources during the hospital stay.
Nursing Students’ Volunteer Experiences of Interacting with Children Receiving Pediatric Palliative Care: A Qualitative Study
Authors: Jin Eunju , Kang Hyunju
Published: November 2024

Background/Objectives: Pediatric palliative care refers to active, holistic care that provides support not only for families but also for the physical, psychological, social, and spiritual needs of pediatric patients with severe life-threatening diseases. Nursing students’ volunteer work for pediatric patients requiring palliative care is a unique and special experience with which to understand them as prospective medical personnel and that allows them to directly experience and feel the needs and reality related to emotional support. This study aimed to explore the experiences of nursing students who volunteer in pediatric in palliative care settings. Methods: The participants, selected through purposive sampling, were 20 nursing undergraduate students who volunteered at a pediatric palliative care medical center or a private community organization providing a support program for pediatric patients receiving palliative care. Individual in-depth interviews were conducted, and data were analyzed using content analysis. Data were collected from 7 August to 27 November 2023. Results: Five major categories were derived: (1) meeting with children—the process of facing and overcoming challenges; (2) the journey of changing through interactions with children; (3) parting with the child—anticipation, shock, and remembering; (4) new insights into pediatric palliative care; (5) and growing as a nursing student. Conclusions: The volunteer activities enabled the nursing students to interact with pediatric patients undergoing palliative care outside the sphere of clinical education. It increased these students’ awareness of palliative care and provided an opportunity for self-reflection and growth. It also provided an opportunity to improve empathy and provide emotional support.
Incidence of and Risk Factors for Central Venous Catheter Thrombosis: Results from a Single-Center Pediatric Intensive Care Unit
Authors: Azzam Maha , AlTalhi Yousef M. , Alsawadi Hani , Humoodi Mohamed , Alzahrani Abdullah , Shehzad Hayat Amir , Bakhsh Mohammed , Osman Sara
Published: November 2024

Background: Central Venous Catheter (CVC) is a necessary and important tool in managing acutely ill children and those needing complex care. CVC enables infusing venous medication, fluids, blood products, chemotherapy, total parental nutrition, and painless withdrawal of blood for laboratory testing when needed. Objective: To identify the incidence and risk factors for Central Venous Catheter-Related Thrombosis (CVC-RT) among patients admitted to the Pediatric Intensive Unit. Method: This was a prospective, observational, single-center study that was conducted over 17 months from September 2019 to January 2021 at King Abdulaziz Medical City, Jeddah. Design: Prospective observational study. Setting: King Abdulaziz Medical City, a tertiary care center in the western region of Saudi Arabia. Patients: Pediatric patients aged 1 to 168 months who were admitted to the PICU and required central line insertion (whether inserted centrally or peripherally) for more than 48 hours were included. Screening for thrombosis was performed within day 4–7 post-line insertion and again on the 14th day. Results: A total of 255 patients were enrolled over 17 months. The incidence rate of CVC-RT was 5.4%. The type of CVC was significantly different between the two groups; in the no thrombosis group, 59.2% had a central line while in the CVC-RT groups, 51.9% had a PIC line (p = 0.027). In a multivariate regression analysis including patients’ clinical profile, high D-dimer as baseline and low platelets were both significant risk factors for CVC-RT [adjusted OR = 3.22, CI (1.25–8.28), p = 0.015 and adjusted OR = 7.38, CI (2.18–25.02), p = 0.001], respectively. Conclusions: The current study found that PIC line was associated with an increased risk of CVC-RT, which is congruent with the literature. As children with CVC can have multiple risk factors for developing CVC-RT, it is important to conduct further large prospective studies to identify such factors and decrease the incidence of CVC-RT.
Broadening the PHIP-Associated Neurodevelopmental Phenotype
Authors: Pascolini Giulia , Scaglione Giovanni Luca , Chandramouli Balasubramanian , Castiglia Daniele , Di Zenzo Giovanni , Didona Biagio
Published: November 2024

Background: Monoallelic damaging variants in PHIP (MIM*612870), encoding the Pleckstrin Homology Domain Interacting Protein, have been associated with a novel neurodevelopmental disorder, also termed Chung–Jansen syndrome (CHUJANS, MIM#617991). Most of the described individuals show developmental delay (DD)/intellectual disability (ID), obesity/overweight, and variable congenital anomalies, so the condition can be considered as an ID–overweight syndrome. Case Description: We evaluated a child presenting with DD/ID and a craniofacial phenotype reminiscent of a Pitt–Hopkins syndrome (PTHS)-like condition. We performed a clinical exome analysis on his biological sample, as well as an in silico prediction of the obtained data. At the same time, we interrogated the DeepGestalt technology powered by Face2Gene (F2G), using a frontal image of the proband, and clinically reviewed the earlier CHUJANS patients. In this child, we found a novel PHIP pathogenetic variant, which we corroborated through a protein modeling approach. The F2G platform supported the initial clinical hypothesis of a PTHS-like condition, while the clinical review highlighted the lack of the main frequent CHUJANS clinical features in this child. Conclusions: The unusual clinical presentation of this novel patient resembles a PTHS-like condition. However, a novel variant in PHIP has been unexpectedly detected, expanding the phenotypic spectrum of CHUJANS. Notably, PTHS (MIM#610954), which is a different ID syndrome caused by heterozygous variants in TCF4 (MIM*610954), is not classically considered in the differential diagnosis of CHUJANS nor has been cited in the previous studies. This could support other complex diagnoses and invite further patients’ descriptions.
Voices of Hope: Leveraging Think-Aloud Cognitive Interviews to Develop a Hope Assessment Tool for Young People Living with Chronic Health Conditions
Authors: von Scheven Emily , Braun Mitchell , Nahal Bhupinder , Perito Emily R. , Brakeman Paul , Soulsby William Daniel , Quill Laura , Cuneo Addison , Franck Linda S.
Published: November 2024

Background/Objectives: Hope is a universal, multidimensional, and nuanced concept that may have specific meaning for young people living with chronic health conditions anticipated to last into adulthood. We previously identified definitions of hope for youth living with chronic health conditions derived from young people’s and their caregivers’ own words. Here, we aimed to develop a hope assessment tool to facilitate the future evaluation of interventions to support wellness and health for young people growing up with chronic health conditions; Methods: We developed Likert-type scale questions using the young people’s and caregivers’ definitions of hope and applied the think-aloud cognitive interview method to assess understanding and to inform sequential iteration. Interviews were recorded and insights from participant interviews were analyzed thematically. Results: In total, 11 youth (age 12–16 years) with various chronic health conditions completed surveys and interviews over three iteration cycles. Responses to the six-point Likert-scale questions ranged from 1 (none of the time) to 6 (all of the time) (median 5). All of the young people (n = 11) reported that they do things they enjoy, either all of the time or most of the time. In contrast, only 36% felt energetic, either all or most of the time. Three themes were identified: my body and hope; my identity, self-image, and hope; and my world and hope. Conclusions: In addition to gaining important feedback that allowed us to improve item word choice to maximize assessment tool understanding, we gained valuable insights into the multidimensional construct of hope. Thematic analysis revealed the importance of physical symptoms and identity to the meaning of hope in the context of a young person’s life. Our new hope assessment tool derived from the young people’s own definition of hope has face and content validity for use in clinical and research settings to evaluate hope among pediatric patients living with chronic health conditions.
A Journey Along the Boulevard of Bioactive Compounds from Natural Sources, with Cosmetic and Pharmaceutical Potential: Bee Venom, Cobra Venom, Ficus carica
Authors: Dinu Monica , Galea Carmen , Chirilov Ana Maria , Tatu Alin Laurențiu , Nwabudike Lawrence Chukwudi , Dumitriu Buzia Olimpia , Stefan Claudia Simona
Published: November 2024

Animal venom and plant extracts have been used since ancient times in traditional medicine worldwide. Natural components, valued for their safety and effectiveness, have been consistently used in cosmetic and pharmaceutical applications. We propose a journey along the boulevard of active compounds from natural sources, where bee venom (BV), cobra venom (CV), and Ficus carica reveal their individual therapeutic and cosmetic properties. The originality of this review lies in exploring the synergy of these bioactive sources, an approach that has not been presented in the literature. Although BV, CV, and Ficus carica have different origins and compositions, they have multiple common pharmacological and cosmetic actions, which make them ideal for inclusion in various products that can be used for skin care and health in general. Their anti-inflammatory, antioxidant, immunomodulatory, antimicrobial, neuroprotective, and regenerative properties give them an essential role in the creation of potential innovative and effective products in the pharmaceutical and cosmetics industry. Although many plant extracts have antioxidant and anti-inflammatory properties, Ficus carica was chosen due to its complex biochemical composition, which provides valuable benefits in skin regeneration and protection against oxidative stress. According to the International Nomenclature of Cosmetic Ingredients (INCI), Ficus carica is used in the form of an extract of fruits, leaves, juice, bark or stem, each having specific applicability in topical formulations; due to the diversity of bioactive compounds, it can amplify the effectiveness of BV and CV, helping to enhance their beneficial effects and reducing the risk of adverse effects, due to its well-tolerated nature. Thus, this combination of natural ingredients opens up new perspectives in the development of innovative products, optimizing efficiency and maintaining a favorable safety profile. In this context, due to the reported experimental results, the three natural sources caught our attention, and we conceived the present work, which is a review made following the analysis of the current progress in the study of the bioactive compounds present in BV, CV, and Ficus carica. We focused on the novelties regarding pharmacological and cosmetic actions presented in the literature, and we highlighted the safety profile, as well as the modern approaches regarding the delivery and transport systems of the active substances from the three natural sources, and we evaluated their prospects in therapeutic and cosmetic use. This paper not only expands our knowledge of bioactive compounds, but it can also generate new ideas and motivations for the research and development of innovative treatments and skincare methods.
Dual Transcriptome of Post-Germinating Mutant Lines of Arabidopsis thaliana Infected by Alternaria brassicicola
Authors: Ortega-Cuadros Mailen , Chir Laurine , Aligon Sophie , Velasquez Nubia , Arias Tatiana , Verdier Jerome , Grappin Philippe
Published: November 2024

Alternaria brassicicola is a seed-borne pathogen that causes black spot disease in Brassica crops, yet the seed defense mechanisms against this fungus remain poorly understood. Building upon recent reports that highlighted the involvement of indole pathways in seeds infected by Alternaria, this study provides transcriptomic resources to further elucidate the role of these metabolic pathways during the interaction between seeds and fungal pathogens. Using RNA sequencing, we examined the gene expression of glucosinolate-deficient mutant lines (cyp79B2/cyp79B3 and qko) and a camalexin-deficient line (pad3), generating a dataset from 14 samples. These samples were inoculated with Alternaria or water, and collected at 3, 6, and 10 days after sowing to extract total RNA. Sequencing was performed using DNBseq™ technology, followed by bioinformatics analyses with tools such as FastQC (version 0.11.9), multiQC (version 1.13), Venny (version 2.0), Salmon software (version 0.14.1), and R packages DESeq2 (version 1.36.0), ClusterProfiler (version 4.12.6) and ggplot2 (version 3.4.0). By providing this valuable dataset, we aim to contribute to a deeper understanding of seed defense mechanisms against Alternaria, leveraging RNA-seq for various analyses, including differential gene expression and co-expression correlation. This work serves as a foundation for a more comprehensive grasp of the interactions during seed infection and highlights potential targets for enhancing crop protection and management.
Effectiveness of Virtual Surgical Planning and Three-Dimensional Anatomical Models in Radiological Reconstruction of Center of Rotation and Pelvic Brim in Patients with Anterior Column Defects Requiring Revision Hip Arthroplasty
Authors: Andrzejewski Krzysztof , Domzalski Marcin , Rokita Bozena , Poszepczynski Jan , Komorowski Piotr
Published: November 2024

Background: The aim of this study was to show that virtual surgical planning (VSP) and printed anatomical models support the reconstruction of the center of rotation (COR) and pelvic BRIM during revision hip surgery using a dual-mobility revision cup system in patients with anterior pelvic column damage and soft tissue envelope deficiency. Methods: Patients with anterior pelvic column damage and soft tissue envelope deficiency underwent revision hip arthroplasty. Virtual planning included assessment of bone segmentation, positioning of the cementless revision cup while maintaining the COR, and the assumed inclination and anteversion angles. Results: The diameter of the planned revision cups was 65.5 ± 2.1 mm, and the diameter of the revision cups used was 65.3 ± 2.1 mm. The difference in COR position in the horizontal axis was 7.8 ± 9.3 mm, in the vertical axis was 4.3 ± 5.9 mm, and in the axial plane was 1.6 ± 3.3 mm. The differences in inclination angle and in the anteversion angle were 12.4° and 8.7°, respectively. Conclusions: The use of VSP and 3D models supports the process of performing RHA surgery in patients with damage to the anterior pelvic column and soft tissue envelope deficiency.
Systematic Review of AI-Assisted MRI in Prostate Cancer Diagnosis: Enhancing Accuracy Through Second Opinion Tools
Authors: Alqahtani Saeed
Published: November 2024

Background: Prostate cancer is a leading cause of cancer-related deaths in men worldwide, making accurate diagnosis critical for effective treatment. Recent advancements in artificial intelligence (AI) and machine learning (ML) have shown promise in improving the diagnostic accuracy of prostate cancer. Objectives: This systematic review aims to evaluate the effectiveness of AI-based tools in diagnosing prostate cancer using MRI, with a focus on accuracy, specificity, sensitivity, and clinical utility compared to conventional diagnostic methods. Methods: A comprehensive search was conducted across PubMed, Embase, Ovid MEDLINE, Web of Science, Cochrane Library, and Institute of Electrical and Electronics Engineers (IEEE) Xplore for studies published between 2019 and 2024. Inclusion criteria focused on full-text, English-language studies involving AI for Magnetic Resonance Imaging (MRI) -based prostate cancer diagnosis. Diagnostic performance metrics such as area under curve (AUC), sensitivity, and specificity were analyzed, with risk of bias assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Results: Seven studies met the inclusion criteria, employing various AI techniques, including deep learning and machine learning. These studies reported improved diagnostic accuracy (with AUC scores of up to 97%) and moderate sensitivity, with performance varying based on training data quality and lesion characteristics like Prostate Imaging Reporting and Data System (PI-RADS) scores. Conclusions: AI has significant potential to enhance prostate cancer diagnosis, particularly when used for second opinions in MRI interpretations. While these results are promising, further validation in diverse populations and clinical settings is necessary to fully integrate AI into standard practice.
Serous Tubal Intraepithelial Carcinoma (STIC): A Review of the Literature on the Incidence at the Time of Prophylactic Surgery
Authors: Luvero Daniela , Angioli Roberto , Notaro Erika , Plotti Francesco , Terranova Corrado , Angioli Anna Maria , Festa Asia , Stermasi Andi , Manco Serena , Diserio Miriana , Montera Roberto
Published: November 2024

Background: Serous tubal intraepithelial carcinoma (STIC) is an early-stage cancerous lesion found in the fallopian tubes, often at the fimbrial end. It is strongly associated with high-grade serous carcinoma (HGSC), a highly aggressive type of ovarian cancer. STIC is considered a precursor to many HGSC cases, originating in the fallopian tubes. Its development is frequently linked to mutations in the TP53 gene, leading to the formation of a p53 signature, an early abnormality that may progress to HGSC. This signature is more common in BRCA mutation carriers, explaining the higher incidence of STIC in this group. The aim of this review is to evaluate the literature on the incidence of serous tubal intraepithelial carcinoma in patients (both BRCA-positive and BRCA-negative) undergoing preventive salpingo-oophorectomy, analysing the available data and identifying associations between specific characteristics and the onset of STIC. Methods: A comprehensive review of the literature from 2016 to 2023 was conducted using PubMed, focusing on studies analysing the incidence of STIC in BRCA-positive patients undergoing preventive salpingo-oophorectomy. Data on patient characteristics, interventions, outcomes, and incidence of STIC were extracted and analysed. Results: Nine international studies were included in the review, reporting varying incidences of STIC among patients undergoing salpingo-oophorectomy. The overall incidence of STIC in all the women included in the studies was 7.31%, while that in the BRCA-mutated women was approximately 6.08%. Notably, the presence of the TP53 signature was significantly associated with the occurrence of STIC. Conclusions: The etiopathogenesis of STIC involves complex interactions between genetic, environmental, and molecular factors. Further research is needed to fully understand its mechanisms and identify additional risk factors beyond BRCA mutations. Establishing a national database of STIC cases could facilitate future research and improve patient outcomes.
A Prospective Evaluation of Health Literacy Levels of Pregnant Women in Antenatal Classes: Impact on Delivery Outcomes in Nulliparous and Multiparous Women
Authors: Rahimli Ocakoglu Sakine , Atak Zeliha , Uyaniklar Ozlem Ozgun , Ocakoglu Gokhan
Published: November 2024

Backgrounds/Objectives: Modern technology and educational activities, such as antenatal classes (ACs), increase patient informedness in medicine and improve collaboration between physicians and patients. The present study aimed to evaluate and compare the impact of maternal health literacy (HL) on delivery outcomes between nulliparous and multiparous women who attended antenatal classes. Methods: This prospective study recruited 281 pregnant women who regularly attended ACs, but only 188 who gave birth at our academic tertiary hospital were included in the final analysis. Socio-demographic characteristics, peripartum data (cervical dilatation at the time of admission to the hospital, duration of labor, and mode of delivery), and obstetric interventions (cesarean section (C/S) rate and rate of instrumental vaginal birth and episiotomy) were recorded, and the level of HL was assessed using the European Health Literacy Survey Questionnaire (HLS-EU-Q16). HL levels did not significantly affect peripartum and postpartum outcomes. Results: The study results showed that HL levels did not impact labor duration and newborn Apgar scores (p > 0.05). Patient education levels and employment status affected the peripartum duration of labor (p = 0.048 and p = 0.001, respectively). There were no differences in the HL total score and subscale scores (p > 0.05) between nulliparous and multiparous patients, and the rate of primary C/S was similar in both groups. Conclusions: HL levels did not impact delivery (peripartum) outcomes in pregnant women who attended antenatal classes. However, the primary C/S rate was similar between the nulliparous and multiparous groups, which may indicate that antenatal education services can correct the negative impact of low HL levels on the primary C/S rate.
Cardiac Magnetic Resonance Imaging in the Evaluation of Functional Impairments in the Right Heart
Authors: Negru Andra , Tarcău Bogdan M. , Agoston-Coldea Lucia
Published: November 2024

Cardiac magnetic resonance (cMRI) imaging has recently become essential in cardiology. cMRI is widely recognized as the most reliable imaging technique for assessing the size and performance of the right ventricle. It allows for objective and functional cardiac tissue evaluations. Early in disease progression, cardiac structure and activity decrease subclinically. Late-phase clinically visible signs have been associated with less favourable outcomes. Subclinical alterations ought to be recognized for rapid evaluations and accurate treatment. An increasing amount of evidence supports cMRI deformation parameter quantification. Strain imaging enables cardiologists to assess heart function beyond traditional measurements. Prognostic information for cardiovascular disease patients is obtained through the right ventricle (RV) strain, including information primarily about the left ventricle (LV). Right atrial (RA) function evaluations using RA strain have been promising in recent studies. Therefore, this narrative review aims to present an overview of the data that are currently available for assessing right myocardial strain and biomechanics using cMRI.
Artificial Intelligence and Image Analysis-Assisted Diagnosis for Fibrosis Stage of Metabolic Dysfunction-Associated Steatotic Liver Disease Using Ultrasonography: A Pilot Study
Authors: Fujii Itsuki , Matsumoto Naoki , Ogawa Masahiro , Konishi Aya , Kaneko Masahiro , Watanabe Yukinobu , Masuzaki Ryota , Kogure Hirofumi , Koizumi Norihiro , Sugitani Masahiko
Published: November 2024

Background/Objectives: Elastography increased the diagnostic accuracy of liver fibrosis. However, several challenges persist, including the widespread utilization of equipment, difficulties in measuring certain cases, and the influence of viscosity factors. A rough surface and a blunted hepatic margin have long been acknowledged as valuable characteristics indicative of hepatic fibrosis. The objective of this study was to conduct an image analysis and quantitative assessment of the contour of the sagittal section of the left lobe of the liver. Methods: Between February and October 2020, 486 consecutive outpatients underwent ultrasound examinations at our hospital. A total of 214 images were manually annotated by delineating the liver contour to create annotation images. U-Net was employed for liver segmentation, with the dataset divided into training (n = 128), testing (n = 42), and validation (n = 44) subsets. Additionally, 43 Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) cases with pathology data from between 2015 and 2020 were included. Segmentation was performed using the program developed in the first step. Subsequently, shape analysis was conducted using ImageJ. Results: Liver segmentation exhibited high accuracy, as indicated by Dice loss of 0.044, Intersection over Union of 0.935, and an F score of 0.966. The accuracy of the classification of the liver surface as smooth or rough via ResNet 50 was 84.6%. Image analysis showed MinFeret and Minor correlated with liver fibrosis stage (p = 0.046, 0.036, respectively). Sensitivity, specificity, and AUROC of Minor for ≥F3 were 0.571, 0.862, and 0.722, respectively, and F4 were 1, 0.600, and 0.825, respectively. Conclusion: Deep learning segmentation of the sagittal cross-sectional contour of the left lobe of the liver demonstrated commendable accuracy. The roughness of the liver surface was correctly judged by artificial intelligence. Image analysis showed the thickness of the left lobe inversely correlated with liver fibrosis stage.
Drainless Uniportal VATS Wedge Resection for Early Non-Small Cell Lung Cancer: Propensity Analysis of the Effect of Polyglycolic Acid Sheet (NeoveilTM)
Authors: Kuo Shuenn-Wen , Su Yu-Heng , Chen Ke-Cheng
Published: November 2024

Objectives: Absorbable biomaterials as adjuvant therapy after thoracoscopy are sometimes used in clinical scenarios. With the prevalence of enhanced rapid recovery in thoracic surgery, drainless video-assisted thoracoscopy surgery (VATS) is often adopted by thoracic surgeons. Here, we discuss utilizing an absorbable biomaterial, NeoveilTM (Polyglycolic Acid sheet), for drainless VATS to treat early lung cancer. Methods: This single-center retrospective study was conducted from January 2018 to December 2022 at the National Taiwan University Hospital. We included patients who underwent drainless VATS for early-stage non-small cell lung cancer (NSCLC) in our institute. Propensity analysis was used to minimize selection bias. Outcome measurements were in-hospital stay, operation time, rate of thoracocentesis or chest drain re-insertion, complication rate, and perioperative course. Results: During the study period, 158 lung cancer patients were performed with drainless VATS wedge resection. Among them, Neoveil for stapling line coverage was done in 72 patients, while 86 patients did not receive Neoveil. After propensity analysis, we had 58 patients using Neoveil after drainless thoracoscopic lung resection, compared fairly with 58 patients without Neoveil after the same procedure. The basic characteristics are comparable regarding age, gender, BMI, operation methods, and lung cancer stage after propensity matching. The in-hospital stay (3.2 days in the Neoveil group and 5.6 days in the non-Neoveil group) and operation time (95.7 min in the Neoveil group and 59.3 min in the non-Neoveil group) are significantly different (p = 0.0001). One versus four patients was noted for postoperative conversion chest drainage insertion in each group (p = 0.17). Neither late complications nor recurrence/metastasis occurred in both groups during the following. Conclusions: Based on our 5-year retrospective study, which is balanced with propensity analysis, drainless thoracoscopic surgery treating early lung cancer can be enhanced by Neoveil with faster recovery by reducing the hospital stay, though with longer operation time.
Using Machine Learning and Feature Importance to Identify Risk Factors for Mortality in Pediatric Heart Surgery
Authors: Kapsner Lorenz , Feißt Manuel , Purbojo Ariawan , Prokosch Hans-Ulrich , Ganslandt Thomas , Dittrich Sven , Mang Jonathan , Wällisch Wolfgang
Published: November 2024

Background: The objective of this IRB-approved retrospective monocentric study was to identify risk factors for mortality after surgery for congenital heart defects (CHDs) in pediatric patients using machine learning (ML). CHD belongs to the most common congenital malformations, and remains the leading mortality cause from birth defects. Methods: The most recent available hospital encounter for each patient with an age <18 years hospitalized for CHD-related cardiac surgery between the years 2011 and 2020 was included in this study. The cohort consisted of 1302 eligible patients (mean age [SD]: 402.92 [±562.31] days), who were categorized into four disease groups. A random survival forest (RSF) and the ‘eXtreme Gradient Boosting’ algorithm (XGB) were applied to model mortality (incidence: 5.6% [n = 73 events]). All models were then applied to predict the outcome in an independent holdout test dataset (40% of the cohort). Results: RSF and XGB achieved average C-indices of 0.85 (±0.01) and 0.79 (±0.03), respectively. Feature importance was assessed with ‘SHapley Additive exPlanations’ (SHAP) and ‘Time-dependent explanations of machine learning survival models’ (SurvSHAP(t)), both of which revealed high importance of the maximum values of serum creatinine observed within 72 h post-surgery for both ML methods. Conclusions: ML methods, along with model explainability tools, can reveal interesting insights into mortality risk after surgery for CHD. The proposed analytical workflow can serve as a blueprint for translating the analysis into a federated setting that builds upon the infrastructure of the German Medical Informatics Initiative.
Identifying Factors That Might Affect Outcomes of Exercise-Based Therapies in Long-COVID
Authors: Krüger Anna-Lena , Haiduk Björn , Grau Marijke
Published: November 2024

Background: Long-COVID, which might develop after a SARS-CoV-2 infection, is a rather new disease without standardized treatment strategies. A large number of approaches that integrate physical activity have been described in the literature, and this systematic review aims to examine changes in symptom severity, physical fitness, respiratory symptoms and quality of life during training and identify factors that might influence the respective outcomes. Methods: A literature search was conducted using the databases Pubmed, PEDro, BioMed Central, EBSCOhost, ProQuest and the ZBSport from 13 February 2024 to 27 February 2024, and 39 studies fulfilled the search criteria. Results: The analyzed study designs varied regarding the type of intervention (isolated vs. multidisciplinary), duration and intensity of training sessions and overall length of the program. Individualized holistic concepts of physical activity paralleled by additional approaches demonstrated high effectiveness. However, many of the participants continue to suffer from Long-COVID after the intervention. Conclusions: Long-COVID treatment should be individualized, multifactorial and not limited in time and should consider each patient’s pre-existing conditions and individual course of the disease to provide the best possible support and care.