bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Vivo and In Vitro Approaches to Modeling Hypoplastic Left Heart Syndrome
Authors: Alonzo Matthew , Contreras Javier , Bering Jakob , Zhao Ming-Tao 
Published: September 2024

Abstract
Purpose of Review
Hypoplastic left heart syndrome (HLHS) is a critical congenital heart defect characterized by the underdevelopment of left-sided heart structures, leading to significant circulatory challenges, and necessitating multiple surgeries for survival. Despite advancements in surgical interventions, long-term outcomes often involve heart failure, highlighting the need for a deeper understanding of HLHS pathogenesis. Current in vivo and in vitro models aim to recapitulate HLHS anatomy and physiology, yet they face limitations in accuracy and complexity.

Recent Findings
In vivo models, including those in chick, lamb, and mouse, provide insights into hemodynamic and genetic factors influencing HLHS. In vitro models using human induced pluripotent stem cells offer valuable platforms for studying genetic mutations and cellular mechanisms.

Summary
This review evaluates these models' utility and limitations, and proposes future directions for developing more sophisticated models to enhance our understanding and treatment of HLHS.
The Portuguese Version of Victim Empathy Distortion Scale: Adaptation and Psychometric Properties
Authors: Sousa Marta , Cunha Olga , Gonçalves Rui Abrunhosa , de Castro-Rodrigues Andreia 
Published: September 2024

AbstractVictim empathy is a common intervention target in intervention programs designed for individuals who perpetrated child sexual abuse (CSA). Researchers have developed the Victim Empathy Distortion Scale (VES), an instrument designed to assess empathy for victims of CSA. The present study aims to adapt the VES for the Portuguese population and examine its psychometric properties. One hundred and twelve individuals who perpetrated CSA and 245 individuals from the community participated in this study. The confirmatory factor analysis did not show satisfactory indices for the structures previously tested. Consequently, the search for an alternative model revealed a two-factor structure, explaining approximately 50% of the total variance. Results also indicated good internal consistency, discriminant validity, and known-groups validity. Overall, the results support the claim that the Portuguese version of the VES is a valuable and psychometrically reliable instrument for measuring victim empathy in forensic and non-forensic settings.
Suicidal Thoughts and Behaviors in People on the Autism Spectrum
Authors: Reid Morganne , Delgado Daylin , Heinly Julia , Kiernan Bridgett , Shapiro Samantha , Morgan Lisa , Maddox Brenna , Jager-Hyman Shari 
Published: September 2024

Abstract
Purpose of Review
This review synthesizes recent research on suicidal thoughts and behaviors among autistic individuals. We present literature on risk and protective factors, risk assessment, intervention, and crisis services, and recommendations for future research.

Recent Findings
Literature on this topic has grown substantially in recent years. Areas of advancement include improved understanding of risk factors (e.g., Interpersonal Theory of Suicide constructs, autistic burnout, mental health conditions, cognitive factors, diagnosis timing, emotion dysregulation), screening, assessment, acute-care services, and suicide-specific psychosocial treatments (e.g., safety planning, dialectical behavior therapy). Gaps include protective factors, impact of intersectional identities, and tailored approaches to screening, assessment, and intervention.

Summary
Heightened awareness of suicide risk in autistic individuals has led to increased understanding of why autistic individuals think about and attempt suicide and the strategies used to identify and reduce suicide risk. We recommend community-partnered, multi-faceted, and strength-based approaches to inform tailored prevention and intervention efforts.
Friction stir welding process parameters optimization and weld structure analyses to study mechanical characteristics using hybrid artificial intelligent soft computing techniques
Authors: Rana Amit , Hooda Naveen , Kumar Rajesh , Deshwal Sandeep , Gahlot Pardeep , Phanden Rakesh Kumar 
Published: September 2024

AbstractFriction stir welding (FSW) is a solid-state fusion welding technique enormously used for welding different aluminum alloy plates. It involves a number of input parameters that significantly affect the different mechanical characteristics of the prepared weld joints. In this study, an attempt is made to optimize the input process parameters of FSW and the diverse mechanical characteristics of the resulting weld. The analysis of ultimate tensile strength (UTS), hardness, and yield strength (YS) is conducted following the test procedures outlined in the American Society for Testing and Materials (ASTM) standards E18-15 and E8-M04. The test specimens are prepared using two different aluminium alloy plates (AA6061-T6 and AA5083-H111). The response surface methodology-based face-centered central composite design (FCCD) strategy is used to develop the experimental design matrix. The input parameters values are varied at three levels. To predict more précised and optimized results, an adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm (GA), in combination, is exercised by utilizing the Matlab tool. Using field emission scanning electron microscopy (FESEM) images, structural analysis is performed to study behavior at the weld joint area. After conducting the tensile and hardness test, the maximum experimental value of UTS, hardness, and YS are noticed as 325 MPa, 69 HRB, and 265 MPa, respectively. By using the GA-ANFIS hybrid tool, the maximum value of UTS and hardness is noticed as 326.99 MPa and 71.40 HRB, respectively, using triangular TPP with 30.5 mm/minute welding speed and 1200 rpm tool pin profile. The optimized value of YS is observed as 271.56 MPa using cylindrical TPP with 24 mm/minute welding speed and 1600 rpm tool rotational speed. In the present work, FESEM-based images reveal a fine-grain structure in the stir zone for the optimized values of mechanical characteristics. The results obtained using the hybrid soft computing technique GA-ANFIS showed that these techniques are adequate tools for the optimization of FSW input process parameters and mechanical characteristics.
Investigating the impact of climate change on mental health among Libyan Arabs: a validation study of the Hogg Eco-Anxiety Scale
Authors: Ali Mohamed , Jahan Alhadi M. , Enaas Amna 
Published: September 2024

AbstractAnxiety, especially within the realm of eco-anxiety, has become an increasingly significant focus of research. In our exploration of eco-anxiety within the Arab Libyan population, we employed a cross-sectional approach and successfully validated the Hogg Eco-Anxiety Scale (HEAS-13). Across two separate subsamples, both Exploratory (n = 790) [M = 21.64 (SD = 3.51), % women = 86.8] and Confirmatory Factor Analysis (n = 829) [M = 22.24 (SD = 3.76), % women = 84.6] confirmed the validity of HEAS-13. This scale effectively captured four distinct dimensions of eco-anxiety: affective symptoms, rumination, behavioral symptoms, and anxiety regarding one’s negative impact on the planet. Moreover, the total HEAS-13 and its dimensions had good internal consistency coefficients, ranging from 0.65 to 0.82. The findings highlight significant correlations between eco-anxiety subscales, behavioral symptoms, and rumination, indicating distinct profiles of eco-anxiety. Additionally structural equation modelling analysis revealed that eco-anxiety dimensions serve as a significant predictor of various psychological symptoms, climate change perception and climate value, emphasizing the interconnectedness between eco-anxiety and psychological distress. Furthermore, Sex-specific differences in eco-anxiety and its associations with climate change perceptions are explored, suggesting heightened awareness and involvement among females. The results emphasize eco-anxiety as a quantifiable psychological phenomenon, demonstrably measured through our 13-item eco-anxiety scale and associated with the mental health outcomes.
Quiescent pure-quartic optical solitons with Kerr and non-local combo self-phase modulation by Laplace-Adomian decomposition
Authors: González-Gaxiola O. , Yildirim Yakup , Hussein Layth , Biswas Anjan 
Published: September 2024

AbstractThe current paper addresses the pure-quartic quiescent optical solitons that emerge from the combination of Kerr and non-local form self-phase modulation structures. The numerical approach is with the aid of Laplace-Adomian decomposition phenomenology. Bright and dark solitons are both addressed in this work. In both cases, the error measures are impressively low.
A survey related to current technologies in Arctic region for autonomous driving
Authors: Rahim Aqsa , Yuan Fuqing , Barbady Javad 
Published: September 2024

AbstractAutonomous driving has sparked an entire revolution in the vehicle sector, offering to increase the safety for road users, productivity, and convenience. However, using autonomous driving vehicles in hostile environments like the Arctic present’s challenges because of the bad weather, lack of infrastructure, rough terrain, poor vision, icy and unreliable road surfaces, and inaccessible locations. The paper discuses key technical elements such as sensor systems, data fusion techniques, localization methods, perception algorithms (object detection, scene understanding), decision-making frameworks, and vehicle control mechanisms that are required for autonomous driving in the Arctic. The study focuses on how these innovations could be enhanced and changed to address the specific issues that the Arctic faces. It also highlights on-going academic and business research and development initiatives, showcasing innovations used to overcome difficulties specific to the Arctic. This paper provides great insight for researchers, decision-makers, and professionals interested in incorporating autonomous driving systems under extreme weather conditions. It enables deeper understanding of the difficulties and opportunities specific to the Arctic region, encouraging cooperation and creativity in the search for reliable and effective autonomous mobility solutions.
Recent Advances in Fibrous Materials for Hydroelectricity Generation
Authors: Ge Can , Xu Duo , Feng Xiao , Yang Xing , Song Zheheng , Song Yuhang , Chen Jingyu , Liu Yingcun , Gao Chong , Du Yong , Sun Zhe , Xu Weilin , Fang Jian 
Published: September 2024

AbstractDepleting fossil energy sources and conventional polluting power generation pose a threat to sustainable development. Hydroelectricity generation from ubiquitous and spontaneous phase transitions between liquid and gaseous water has been considered a promising strategy for mitigating the energy crisis. Fibrous materials with unique flexibility, processability, multifunctionality, and practicability have been widely applied for fibrous materials-based hydroelectricity generation (FHG). In this review, the power generation mechanisms, design principles, and electricity enhancement factors of FHG are first introduced. Then, the fabrication strategies and characteristics of varied constructions including 1D fiber, 1D yarn, 2D fabric, 2D membrane, 3D fibrous framework, and 3D fibrous gel are demonstrated. Afterward, the advanced functions of FHG during water harvesting, proton dissociation, ion separation, and charge accumulation processes are analyzed in detail. Moreover, the potential applications including power supply, energy storage, electrical sensor, and information expression are also discussed. Finally, some existing challenges are considered and prospects for future development are sincerely proposed.
Adult readers making sense of picture stories: a contrastive case study
Authors: Magliano Joseph P. , Stickel Tabitha , McCarthy Kathryn S. , Greenberg Daphne 
Published: September 2024

AbstractVisual media (pictures, photographs) are often used in adult literacy instruction, presumably because they are easy for adult literacy learners to process. However, relatively little research has been conducted on how adult literacy learners comprehend visual media, such as picture stories. Some have argued that picture stories could be used as a scaffold for training higher-level skills, such as inference strategies. Before such interventions can be developed, an understanding of how adult literacy learners process picture stories is warranted. The present study consisted of a contrastive case study in which adult literacy learners, less proficient college readers, and proficient college readers (three individuals per group) thought aloud while viewing picture stories. This comparison was chosen because less proficient and proficient college readers provide an aspirational comparison for many adult literacy learners who want to eventually pursue college. A qualitative analysis of participants’ think-aloud protocols demonstrated that there were strengths and challenges for the adult literacy learners, less proficient college readers, and proficient college readers in comprehending the picture stories. All three groups of participants demonstrated that they were able to establish explanatory coherence, which involves inferring the meaning of story events. However, there were differences in the extent to which efforts to achieve coherence were directed at the context of individual pictures, the local story context, or global story context. These differences will be discussed in terms of exploring the merits of using visual media in adult literacy instruction.
Adaptive residual convolutional neural network for moiré image restoration
Authors: Malagi Vindhya P. , Naresh E. , Mithra C. , Suresh B. V. N. V. Krishna 
Published: September 2024

Abstract
Restoring Moiré images presents significant challenges due to the complex interference patterns that obscure image details. These patterns often degrade the quality of images, making accurate restoration crucial for various applications. Effective Moiré image restoration requires advanced techniques to overcome the difficulties posed by these intricate artifacts. This study introduces an Adaptive Residual Convolutional Neural Network (RCNN) for Moiré image restoration, augmented with the Zebra Optimization Algorithm (ZOA) to enhance both feature extraction and restoration accuracy. The hybrid model leverages ZOA's capability to balance exploration and exploitation, optimizing network parameters to improve learning efficiency. Tested on the DIV2K dataset, this approach demonstrates significant improvements in handling complex Moiré patterns, as evidenced by enhanced Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) values.
Leberzysten: Ultraschall und Diagnostik
Authors: Radu Pompilia , Semmo Nasser , Berzigotti Annalisa 
Published: September 2024

ZusammenfassungDieser Übersichtsartikel bietet eine umfassende Darstellung der Diagnostik von Leberzysten, mit besonderem Fokus auf die Rolle des Ultraschalls als primäres bildgebendes Verfahren. Leberzysten sind häufige Befunde, die in der klinischen Praxis auf eine Vielzahl von Ätiologien zurückzuführen sein können, von benignen einfachen Zysten bis hin zu komplexeren und potenziell gefährlichen Zuständen. Der Artikel beleuchtet die wichtigsten sonographischen Merkmale, die bei der Differenzierung verschiedener zystischer Läsionen der Leber hilfreich sind. Dabei wird auf die Bedeutung der genauen Charakterisierung der Zysten hinsichtlich Grösse, Inhalt und Wandbeschaffenheit eingegangen. Neben den bildgebenden Verfahren werden auch weitere diagnostische Ansätze, einschliesslich serologischer Tests und gegebenenfalls invasiver Verfahren, erörtert. Abschliessend wird ein Algorithmus vorgestellt, der Kliniker dabei unterstützt, zystische Läsionen der Leber systematisch und effektiv zu beurteilen, um die richtige Diagnose zu stellen und eine angemessene Therapie zu planen.
Modeling sector route segment capacity under convective weather based on machine learning
Authors: Wang S.J. , Li Y.L. , Yang B.T. , Duan R.R. 
Published: September 2024

AbstractEstimating airspace capacity under convective weather conditions is crucial for ensuring the efficiency and safety of air traffic operations. Sector route segments, which are essential components of flight routes, require timely capacity predictions during operationally critical periods. In this paper, initially, an enhanced Recursive Feature Elimination algorithm is used to select meteorological data and develop predictive features. Subsequently, the CWSRC model is established using the RF supervised learning algorithm. Finally, the paper takes ENH-YIH segment as an example to predict the capacity. Compared with other machine learning algorithms, the residual percentages for KNN, MLP and RF are 86.03%, 77.37% and 93.40%, respectively, within the range of [−0.2, 0.2]. In three separate day cases, results show that the CWSRC model’s MAE, MSE, RMSE and R2 significantly outperform traditional methods like Maxflow/Mincut and scanning line. The results confirm the CWSRC model’s superior predictive capabilities.
The AI Act from the Perspective of Administrative Law: Much Ado About Nothing?
Authors: Mir Oriol 
Published: September 2024

Abstract
This paper examines the impact that the finally approved Artificial Intelligence Act (AIA) will have on European public authorities when developing, acquiring and using AI systems. It argues that, despite the initial disappointment that the Act may cause when approaching it from an administrative law perspective, and despite the fact that some of the solutions that have been finally chosen are questionable, it represents a remarkable step forward, duly addressing many of the problems raised in the literature in relation to the automation of administrative decisions and the use of AI systems by public authorities.
Forum Can Non Save Us Now
Authors: Lee Eun Sol Sara 
Published: September 2024

AbstractTactical litigation is a reality of the adversarial litigation framework that is currently in place. However, there is a difference between the tactical litigation of choosing a forum which may have more favorable law or be more convenient and choosing a forum with the intent to drive the opposing party to failure. The latter has been the issue with some of the tactical litigation that has occurred under the European Union’s framework of lis pendens. While the Recast Brussels I Regulation has alleviated some of those issues, it has not addressed all of them. While some scholars have argued that these issues of lis pendens may be answered by introducing the common law doctrine of forum non conveniens to these proceedings, that is not the case. This Article explores the pitfalls of lis pendens and forum non conveniens and ultimately finds that forum non conveniens is unable to solve the issues lis pendens creates in tactical litigation. Furthermore, the Article finds that forum non conveniens, inherently and acting as it should, has its own problems which echo lis pendens’ own issues in the European Union. Furthermore, forum non conveniens is simply incompatible with the policies the European Union implemented with lis pendens. Ultimately, forum non conveniens is unable to answer the problems lis pendens has created and solutions must be found from within the European Union’s own civil system.
Workers Reconstituting the Factory
Authors: Kenny Bridget 
Published: September 2024

AbstractThis comment on Moritz Altenried's The Digital Factory discusses how the book offers four interrelated theoretical contributions to the study of labour in the digital economy – redefining the factory, specifying digital Taylorism, materializing its infrastructure, and mapping class relations – through four sites of investigation. The piece discusses the implications of the resulting multiplication of labour and labour relations for reconfigured class relations and resistance and argues that the differentiated social relations across spatial and material contexts ask for a theorization of the conjunctural nature of these relations.
The Value of Christological Titles, in Conversation with Leander Keck
Authors: Davis Kendall A. 
Published: September 2024

AbstractForty years ago, Leander Keck criticised the ‘tyranny of titles’ in the study of New Testament Christology. While Keck rightly criticised early- to mid-twentieth approaches to titles for Jesus, there is no denying the importance of titles in New Testament texts. This article summarises classic twentieth-century approaches to christological titles and discusses the most important criticisms. The root issue of such approaches is the conflation of titles and concepts. A constructive proposal is offered for reading christological titles as literary strategies of characterisation. This approach begins by carefully defining what is meant by a title and how titles might be distinguished from common nouns and names. Six principles for the productive interpretation of titles are then discussed: 1) titles must be distinguished from other christological material like motifs, typologies, and references to biblical texts; 2) titles must be distinguished from each other; 3) titles are meaningful not because they refer to particular ideas but because of their relationship with biblical texts, religious life, and culture; 4) what a title does is more important than what a title means; 5) titles are flexible, polyvalent, and ambiguous; 6) titles must be read alongside other titles and non-titular material. Finally, it is demonstrated how this literary approach to titles will be fruitful for contemporary discussions in New Testament Christology and contribute to the renewal of New Testament Christology that Keck called for several decades ago.1
Comparing Earthquake Cycles on Normal and Reverse Faults Based on Simulations With a Dynamic Elasto‐Plastic Model
Authors: Simpson Guy 
Published: September 2024

AbstractShear stress levels on reverse faults are anticipated to be several times higher than on normal faults with the same pore pressure ratio. In addition, ruptures on normal faults release gravitational potential energy, whereas earthquakes on reverse faults expend work in uplifting rocks. In this study, I investigate the significance of these differences for earthquake cycles and I question whether the source of energy driving earthquakes is the same on reverse and normal faults. Based on the assumption that normal and reverse faults have the same background frictional properties and pore pressure states, I use numerical simulations with a two‐dimensional dynamic elastic‐plastic model to show that due to stress differences, earthquakes on reverse faults tend to occur less frequently, produce more coseismic slip and stress drop and involve higher slip rates than ruptures on normal faults with equivalent dimensions. The analysis also shows differences in the energy changes associated with earthquake cycles on reverse and normal faults. However, the earthquakes on both fault types result from abrupt release of elastic strain energy, which proceed and essentially drive variations in gravitational potential energy. Thus, ruptures on both normal and reverse faults are consistent with elastic rebound theory.