bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of crack orientation on the mode I fracture resistance of pinewood
Authors: Romanowicz Marek , Grygorczuk Maciej 
Published: May 2024

AbstractThe fracture resistance of pinewood under mode I loading is investigated experimentally for different crack plane orientations and the crack propagation direction parallel to longitudinal cells. Experiments are conducted on double cantilever beams using a digital image correlation system to evaluate the crack tip opening displacement. The compliance based beam method is used to determine the energy release rate at various crack lengths. The decomposition of crack propagation into the pre-peak and post-peak propagations is proposed to find the fracture energy contributions from individual toughening mechanisms in pinewood. The cohesive strengths measured in the experiments are confirmed by comparison with the tensile strengths obtained from separate tests performed on pinewood. An analytical model for evaluating the fracture process zone is used to validate the experimental results. The difference between the fracture energy values in different crack propagation systems is explained by using X-ray microtomography images of the fracture surfaces.
ADHD Symptoms in Childhood and Big Five Personality Traits in Adolescence: A Five-Year Longitudinal Study in Girls
Authors: Bell Laura J. , John Oliver P. , Hinshaw Stephen P. 
Published: May 2024

AbstractAttention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental condition characterized by developmentally extreme and impairing symptoms of inattention and/or hyperactivity/impulsivity. Great interest has emerged in the ways ADHD and its underlying symptom dimensions relate to the development of personality traits. Much extant research on this topic is cross-sectional, relying on self-report measures and male samples. Herein, we present data from a prospective, longitudinal study of a socioeconomically and racially diverse sample of girls, including those with ADHD and a matched neurotypical comparison sample. We examined how parent- and teacher-reported ADHD in middle childhood relate to self-reported Big Five personality traits in adolescence. As expected, childhood ADHD diagnosis prospectively predicted lower self-reported Conscientiousness, lower Agreeableness, and higher Neuroticism in adolescence. With ADHD diagnosis covaried, Inattention (IA) predicted only low Conscientiousness, Hyperactivity/Impulsivity (HI) predicted only low Agreeableness, and neither predicted adolescent Neuroticism. An exploratory moderator analysis showed that family income moderated the effects of IA and HI on the negativity of adolescent self-descriptions of their own personalities, with more pronounced negative effects for girls in families with higher (rather than lower) income. Familial pressures to achieve in higher-income families may be linked to more pronounced negative ramifications of ADHD on personality development.
Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph
Authors: Dong Shaohua , Fan Xiaochao , Ma Xinchun 
Published: May 2024

AbstractMultimodal sentiment analysis is a downstream branch task of sentiment analysis with high attention at present. Previous work in multimodal sentiment analysis have focused on the representation and fusion of modalities, capturing the underlying semantic relationships between modalities by considering contextual information. While this approach is feasible for simple contextual comments, more complex comments require the integration of external knowledge to obtain more accurate sentiment information. However, incorporating external knowledge into sentiment analysis to enhance information complementarity has not been thoroughly investigated. To address this, we propose a multichannel cross-modal feedback interaction model that incorporates the knowledge graph into multimodal sentiment analysis. Our proposed model consists of two main components: the cross-modal feedback recurrent interaction module and the external knowledge module for capturing latent information. The cross-modal interaction employs a self-feedback mechanism during network training, extracting feature representations of each modality and using these representations to mask sensory inputs, allowing the model to perform feedback-based feature masking. The external knowledge graph captures potential semantic information representations in the textual data through knowledge graph embedding. Finally, a global feature fusion module is employed for multichannel multimodal information integration. On two publicly available datasets, our method demonstrates good performance in terms of accuracy and F1 scores, compared to state-of-the-art models and several baselines.
The controversial relationship between narcissistic leadership and voluntary work behaviours: a meta-analytic approach
Authors: Lartey Joshua King Safo , Almeida Shamika , Paloyo Alfredo R. 
Published: May 2024

AbstractContradictory evidence on the correlation between narcissism in organisations and voluntary work behaviours forms the basis for the present study. The authors employed a systematic review (meta-analysis) to describe the relationship between narcissistic leadership and voluntary work behaviours. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) model, the authors identified fifty-two (52) research articles for the meta-analysis. The study highlighted a statistically significant relationship between narcissistic leadership and organisational citizenship behaviour (OCB) but an insignificant relationship between narcissistic leadership and counterproductive work behaviour (CWB). The results necessitate looking at leader narcissism from a multidimensional perspective. The use of longitudinal and experimental designs to study the relationship between leader narcissism and voluntary work behaviours can also address the current limitations. A theoretical justification for the use of either self or other measures of the relationship between leader narcissism and voluntary work behaviours should also be considered.
The Critical Robot: Impact of Performance Feedback on Intrinsic Motivation, Self-Esteem and Psychophysiology in Human–Robot Interaction
Authors: Marx Cyril , Könczöl Clemens , Altmanninger Agnes , Kubicek Bettina 
Published: May 2024

AbstractSocial, anthropomorphic robots are increasingly used in professional work environments to collaborate with humans. However, little is known about how these robots affect human workers in performance-critical aspects, such as feedback. The present study investigates differences between the effects of a robot and a human feedback giver on self-esteem, intrinsic motivation, and psychophysiological reactions. Using a mixed model design for subjective data and a between-subject design for psychophysiological data, we tested 72 participants who performed a cognitive task on working memory, namely the 3-back task. The results indicate that people are more motivated to perform the task when receiving feedback from a robot, but their electrodermal activity and heart rate are higher after receiving positive feedback from a human. There is no difference in electrodermal activity following negative feedback from a human or a robot. Additional analyses show that individuals report feeling less comfortable and perceiving less social warmth when receiving feedback from a robot compared to a human. Furthermore, individuals exhibit higher skin conductance responses when perceiving greater social warmth in their interactions, regardless of whether their interaction partner is a human or a robot. The results suggest that social robots may serve as surrogates for social interaction. However, they seem to have less social presence, which leads to reduced psychophysiological reactions. This knowledge may be used to calibrate arousal in feedback situations.
Der ungelöste Nukleardisput mit dem Iran im Schatten der Eskalation im Nahen Osten
Authors: Akbulut Hakan 
Published: May 2024

ZusammenfassungVor dem Hintergrund der Entwicklungen im Nahen Osten seit dem 7. Oktober 2023 lenkt dieser Beitrag die Aufmerksamkeit auf die zuletzt wenig berücksichtigte nukleare Dimension der nahöstlichen Konfliktherde und fasst den Nukleardisput in seiner Genese zusammen. Es wird argumentiert, dass der Nukleardisput aufgrund seines ungelösten Status im Sog der aktuellen Entwicklungen eine Eskalation erfahren und zu einer weiteren Verschärfung der Situation im Nahen Osten beitragen könnte.
Designing Virtual Coaching Solutions
Authors: Schlieter Hannes , Gand Kai , Weimann Thure Georg , Sandner Emanuel , Kreiner Karl , Thoma Steffen , Liu Jin , Caprino Massimo , Corbo Massimo , Seregni Agnese , Tropea Peppino , Del Pino Rocio , Gómez Esteban Juan Carlos , Gabilondo Inigo , Lacraru Andreea Elena , Busnatu Stefan Sebastian 
Published: May 2024

AbstractEspecially older persons are prone to disabilities and chronic diseases. These chronic conditions pose a worldwide challenge, leading to deteriorating health, economic strain, loss of life, and a decline in the quality of life (QoL). Therefore, healthcare institutions seek to enhance their strategies for disease prevention and management to uphold the well-being of the community. This leads to the need to regain independence and improve QoL to properly rehabilitate the patients. Virtual Coaches (VCs) in the form of Embodied Conversational Agents are seen as a relevant digital intervention to support the continuity of care. The paper at hand reports on a Design Science Research project about implementing a VC solution to support older patients' home rehabilitation. The study underpins four pivotal design principles: Adaptivity, Coaching Strategy, Multi-user Interface, and Sustainable Infrastructure. The final artifact was tested with 80 patients which were supported in continuing their inpatient rehabilitation at home by using a VC. The evaluation shows both positive results for usability and acceptance of the intervention for four different use cases and a positive impact on the QoL. Given the comprehensive clinical evaluation, the system represents a safe and appealing solution for ensuring the continuity of medical rehabilitation care and the access to personalized cognitive and motor function treatments.
Dosimetric comparison of proton therapy and CyberKnife in stereotactic body radiation therapy for liver cancers
Authors: Shyllon Samuel , Penfold Scott , Dalfsen Ray , Kirkness Elsebe , Hug Ben , Rowshanfarzad Pejman , Devlin Peter , Tang Colin , Le Hien , Gorayski Peter , Grogan Garry , Kearvell Rachel , Ebert Martin A 
Published: May 2024

AbstractStereotactic body radiation therapy (SBRT) has been increasingly used for the ablation of liver tumours. CyberKnife and proton beam therapy (PBT) are two advanced treatment technologies suitable to deliver SBRT with high dose conformity and steep dose gradients. However, there is very limited data comparing the dosimetric characteristics of CyberKnife to PBT for liver SBRT. PBT and CyberKnife plans were retrospectively generated using 4DCT datasets of ten patients who were previously treated for hepatocellular carcinoma (HCC, N = 5) and liver metastasis (N = 5). Dose volume histogram data was assessed and compared against selected criteria; given a dose prescription of 54 Gy in 3 fractions for liver metastases and 45 Gy in 3 fractions for HCC, with previously published consensus-based normal tissue dose constraints. Comparison of evaluation parameters showed a statistically significant difference for target volume coverage and liver, lungs and spinal cord (p < 0.05) dose, while chest wall and skin did not indicate a significant difference between the two modalities. A number of optimal normal tissue constraints was violated by both the CyberKnife and proton plans for the same patients due to proximity of tumour to chest wall. PBT resulted in greater organ sparing, the extent of which was mainly dependent on tumour location. Tumours located on the liver periphery experienced the largest increase in organ sparing. Organ sparing for CyberKnife was comparable with PBT for small target volumes.
Engineering mannose-functionalized nanostructured lipid carriers by sequential design using hybrid artificial intelligence tools
Authors: Martinez-Borrajo Rebeca , Diaz-Rodriguez Patricia , Landin Mariana 
Published: May 2024

AbstractNanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors, enabling targeted cell delivery. Mannosylation has emerged as a valuable tool for increasing the ability of nanoparticles to be recognized and internalized by macrophages. Nevertheless, the design and development of functionalized NLC is a complex task that entails the optimization of numerous variables and steps, making the process challenging and time-consuming. Moreover, no previous studies have been focused on evaluating the functionalization efficiency. In this work, hybrid Artificial Intelligence technologies are used to help in the design of mannosylated drug loaded NLCs. Artificial neural networks combined with fuzzy logic or genetic algorithms were employed to understand the particle formation processes and optimize the combinations of variables for the different steps in the functionalization process. Mannose was chemically modified to allow, for the first time, functionalization efficiency quantification and optimization. The proposed sequential methodology has enabled the design of a robust procedure for obtaining stable mannosylated NLCs with a uniform particle size distribution, small particle size (< 100 nm), and a substantial positive zeta potential (> 20mV). The incorporation of mannose on the surfaces of these DDS following the established protocols achieved > 85% of functionalization efficiency. This high effectiveness should enhance NLC recognition and internalization by macrophages, thereby facilitating the treatment of chronic inflammatory diseases.
Graphical Abstract
Investigation of infectious droplet dispersion in a hospital examination room cooled by split-type air conditioner
Authors: Yüce Bahadır Erman , Kalay Onur Can , Karpat Fatih , Alemdar Adem , Temel Şehime Gülsün , Dilektaşlı Aslı Görek , Başkan Emel Bülbül , Özakın Cüneyt , Coşkun Burhan 
Published: May 2024

AbstractThe novel coronavirus (SARS-CoV-2) outbreak has spread worldwide, and the World Health Organization (WHO) declared a global pandemic in March 2020. The transmission mechanism of SARS-CoV-2 in indoor environments has begun to be investigated in all aspects. In this regard, many numerical studies on social distancing and the protection of surgical masks against infection risk have neglected the evaporation of the particles. Meanwhile, a 1.83 m (6 feet) social distancing rule has been recommended to reduce the infection risk. However, it should be noted that most of the studies were conducted in static air conditions. Air movement in indoor environments is chaotic, and it is not easy to track all droplets in a ventilated room experimentally. Computational Fluid Dynamics (CFD) enables the tracking of all particles in a ventilated environment. This study numerically investigated the airborne transmission of infectious droplets in a hospital examination room cooled by a split-type air conditioner with the CFD method. Different inlet velocities (1, 2, 3 m/s) were considered and investigated separately. Besides, the hospital examination room is a model of one of the Bursa Uludag University Hospital examination rooms. The patient, doctor, and some furniture are modeled in the room. Particle diameters considered ranged from 2 to 2000 μm. The evaporation of the droplets is not neglected, and the predictions of particle tracks are shown. As a result, locations with a high infection risk were identified, and the findings that could guide the design/redesign of the hospital examination rooms were evaluated.
Insights from an Italian Delphi panel: exploring resistance to first-generation somatostatin receptor ligands and guiding second-line medical therapies in acromegaly management
Authors: Grottoli S. , Maffei P. , Tresoldi A. S. , Granato S. , Benedan L. , Mariani P. , Giustina A. 
Published: May 2024

Abstract
Purpose
First-line medical therapy for acromegaly management includes first-generation somatostatin receptor ligands (fgSRLs), but resistance limits their use. Despite international guidelines, the choice of second-line therapy is debated.

Methods
We aim to discuss resistance to fgSRLs, identify second-line therapy determinants and assess glycemia’s impact to provide valuable insights for acromegaly management in clinical practice. A group of Italian endocrinologists expert in the pituitary field participated in a two-round Delphi panel between July and September 2023. The Delphi questionnaire encompassed a total of 75 statements categorized into three sections: resistance to fgSRLs therapy and predictors of response; determinants for the selection of second-line therapy; the role of glycemia in the therapeutic management. The statements were rated on a 6-point Likert scale.

Results
Fifty-nine (79%) statements reached a consensus. IGF-1 levels resulted central for evaluating resistance to fgSRLs, that should be defined considering also symptomatic clinical response, degree of tumor shrinkage and complications, using clinician- and patient-reported outcome tools available. Factors to be evaluated for the choice of second-line medical therapy are hyperglycemia—that should be managed as in non-acromegalic patients—tumor remnant, resistant headache and compliance. Costs do not represent a main determinant in the choice of second-line medical treatment.

Conclusion
The experts agreed on a holistic management approach to acromegaly. It is therefore necessary to choose currently available highly effective second-line medical treatment (pegvisomant and pasireotide) based on the characteristics of the patients.
Donor genetic burden for cerebrovascular risk and kidney transplant outcome
Authors: Collins Kane E. , Gilbert Edmund , Mauduit Vincent , Benson Katherine A. , Elhassan Elhussein A. E. , O’Seaghdha Conall , Hill Claire , McKnight Amy Jayne , Maxwell Alexander P. , van der Most Peter J. , de Borst Martin H. , Guan Weihua , Jacobson Pamala A. , Israni Ajay K. , Keating Brendan J. , Lord Graham M. , Markkinen Salla , Helanterä Ilkka , Hyvärinen Kati , Partanen Jukka , Madden Stephen F. , Limou Sophie , Cavalleri Gianpiero L. , Conlon Peter J. 
Published: May 2024

Abstract
Background and hypothesis
Kidney grafts from donors who died of stroke and related traits have worse outcomes relative to grafts from both living donors and those who died of other causes. We hypothesise that deceased donors, particularly those who died of stroke, have elevated polygenic burden for cerebrovascular traits. We further hypothesise that this donor polygenic burden is associated with inferior graft outcomes in the recipient.

Methods
Using a dataset of 6666 deceased and living kidney donors from seven different European ancestry transplant cohorts, we investigated the role of polygenic burden for cerebrovascular traits (hypertension, stroke, and intracranial aneurysm (IA)) on donor age of death and recipient graft outcomes.

Results
We found that kidney donors who died of stroke had elevated intracranial aneurysm and hypertension polygenic risk scores, compared to healthy controls and living donors. This burden was associated with age of death among donors who died of stroke. Increased donor polygenic risk for hypertension was associated with reduced long term graft survival (HR: 1.44, 95% CI [1.07, 1.93]) and increased burden for hypertension, and intracranial aneurysm was associated with reduced recipient estimated glomerular filtration rate (eGFR) at 1 year.

Conclusions
Collectively, the results presented here demonstrate the impact of inherited factors associated with donors' death on long-term graft function.

Graphical Abstract
Crossover in mutation oriented norm evolution
Authors: Lv Bingyu , Wang Xianchang , Zhang Rui 
Published: May 2024

AbstractNorms are a coordination mechanism. They control agents’ behavior in a multiagent system (MAS) and need to evolve to cope with changing environments. Mutation oriented norm evolution is a strategies for allowing norms to evolve. However, this strategy simply adds some possible trigger condition constraints on the norms, which means that some agents are unable to perform actions. To address this problem, this paper presents a new strategy for norm evolution based on an improved crossover operator. First, this paper presents a power-set approach to improve the integrity of norm evolution. This approach can help ensure that all possible combinations of norms are considered during the analysis, providing a deeper understanding of how norms interact and evolve within a norm set. Then, to improve the efficiency of norm evolution, a trade-off between efficiency and completeness is proposed. This approach reduces the search space and improves efficiency, as not every power set combination needs to be searched; it also ensures completeness. Finally, the crossover operator in this strategy is improved based on the trade-off approach. Specifically, the triggers and expectations of one mutated norm enrich the triggers and expectations of other norms. All of these factors enrich the normative conditions through the trade-off approach. A MAS can take immediate action to adapt to new requirements or problems encountered, and quickly make normative changes and learn to respond appropriately to a new situation. The MAS is able to more clearly understand and learn about causality in the environment during norm evolution, and understand the connection between behavior and outcomes. The proposed strategy is applied to a case study of an unmanned vehicle system. The experimental results show that the trade-off approach has greater completeness and effectiveness in norm evolution. This strategy achieves a more complete and effective autonomous norm evolution. It helps the system achieve its goals better and reach better performance in terms of adaptability, helping it to function better in complex multiagent environments.
Photocatalytic degradation of methylene blue over MIL-100(Fe)/GO composites: a performance and kinetic study
Authors: Wei Yuxue , Fu Zhiyuan , Meng Yingzi , Li Chun , Yin Fu , Wang Xue , Zhang Chenghua , Guo Lisheng , Sun Song 
Published: May 2024

AbstractAdsorption coupled with photocatalytic degradation is proposed to fulfill the removal and thorough elimination of organic dyes. Herein, we report a facile hydrothermal synthesis of MIL-100(Fe)/GO photocatalysts. The adsorption and photocatalytic degradation process of methylene blue (MB) on MIL‐100(Fe)/GO composites were systematically studied from performance and kinetic perspectives. A possible adsorption‐photocatalytic degradation mechanism is proposed. The optimized 1M8G composite achieves 95% MB removal (60.8 mg/g) in 210 min and displays well recyclability over ten cycles. The obtained MB adsorption and degradation results are well fitted onto Langmuir isotherm and pseudo‐second order kinetic model. This study shed light on the design of MOFs based composites for water treatment.
Graphical Abstract