bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flow in filopodia: re-organization and the representation of biological entities as computational objects
Authors: Leal Thiago Franco , de Moura Carlos Antônio , Kritz Maurício Vieira , Prokop Andreas 
Published: November 2024

AbstractActin is the most abundant protein in eukaryotic cells. They form filamentous polymers that are organized in different ways within the cell to perform various functions. For instance, prominent parallel bundles of F-actins mediate the formation and dynamics of filopodia that are long, finger-like protrusions of cell membrane occurring in certain cells, like growing neurons. Understanding actin organization dynamics and its regulation is a crucial problem for biologists that cannot be solved exclusively by biological methods, requiring the support of mathematical and computational modelling. In this work, grounded on a previous hypothesis of ours about the cytosol flow within filopodia, we address several modelling challenges posed by the growth of filopodia in neurons. We use alternative stochastic models and particle-centered numerical methods for transport and elongations, as well as an innovative object-oriented modelling-strategy to represent chemical transformations, polymerization, and their regulation. These modelling strategies allowed for simulating elongations 20 times longer than the typical ranges attained by commonly used filopodia diffusion models, and show that our hypothesis is feasible, acting as a proof-of-concept about the importance of considering organization as a key element in biological explanations.
Stamina and the embodiment of expertise: resources of transnational activism to counter corporate slow violence
Authors: Plüss Hannah 
Published: November 2024

AbstractAnalyses from political ecology and other disciplines show on the one hand how projects of hydroelectric power production can lead to situations of corporate slow violence. On the other hand, contributions of the same disciplines analyse how transnational activism can change shape, course, and power structures in environmental conflicts. My contribution brings together these debates, which have so far been conducted separately, by analysing the conflict around a run-of-the-river hydroelectric power plant in rural Ecuador. The power plant has been backed by a legitimising discourse of contributing to sustainable non-carbon-based solutions to global climate change. Despite this good image, the company ignored the national legislation and the knowledge of the local population about their river, as well as their needs, and thus involved them in a situation of corporate slow violence. Parts of the community subsequently joined with activists from the U.S. and formed an NGO to convert the physical protest-dominated resistance strategy into one of scientific and legal activism. My analysis shows how this case of corporate slow violence was confronted by these activists mobilising a variety of resources, among them two that are not taken into account in the relevant literature so far, namely the necessary time, residency, and stamina to cope with the violence, and the use of the embodiment of expertise of the white colonialist other as a strategic tool to change power structures in the region.
Family structure, gender, and subjective well-being: effect of children before and after COVID-19 in Japan
Authors: Yamamura Eiji , Ohtake Fumio 
Published: November 2024

AbstractGrandparents were anticipated to participate in grand-rearing. The COVID-19 pandemic had detached grandparents from rearing grandchildren. The research questions of this study were as follows: How does the change in family relations impact the Subjective well-being (SWB) of grandparents and parents? Using independently collected individual-level panel data over 2016–2023, we examined how family structure influenced SWB before and after COVID-19. We focused on the effects of children, grandchildren, and their gender on grandparents and parents. We found that compared with the happiness level before COVID-19, (1) granddaughters increased their grandmothers’ SWB after COVID-19, (2) both daughters and sons reduced their fathers’ SWB after COVID-19, whereas neither daughters nor sons changed their mothers’ SWB, and (3) the negative effect of sons reduced substantially if their fathers had younger brothers. Learning from interactions with younger brothers in childhood, fathers could avoid the deterioration of relationships with their sons, even when unexpected events possibly changed the lifestyle of the family and their relationship.
Progress in High Intensity Focused Ultrasound Ablation for Fertility Preservation Therapy of Uterine Fibroids and Adenomyosis
Authors: Zhang Guorui , Li Lei , Sun Mengyuan , Yu Xin 
Published: November 2024

Abstract
High intensity focused ultrasound (HIFU) is an effective and safe non-invasive treatment method, widely used in the treatment of uterine fibroids and adenomyosis in the field of gynecology. The side effects in HIFU is low in incidence and mild. HIFU can significantly alleviate the symptoms of patients, reduce lesion volumes, improve quality of life, and has good cost-effectiveness. HIFU can accurately ablate the uterine fibroids and adenomyosis lesions, without destroying normal myometrium and endometrium, and thus HIFU is a promising alternative to myomectomy in uterine fibroids patients with fertility desire. Several studies have shown that in terms of ovarian endocrine function protection, HIFU treatment is superior to uterine artery embolization, and similar to myomectomy. Existing limited researches show that patients with uterine fibroids have a favorable pregnancy rate and live birth rate, as well as a lower natural abortion rate after HIFU treatment. Pregnancy rate after HIFU treatment for uterine fibroids is not lower than myomectomy, and higher than uterine artery embolization. HIFU may have significant advantages in shortening pregnancy interval compared with myomectomy. However, the proportion of cesarean section delivery after HIFU treatment is relatively high, and gestational uterine rupture after HIFU treatment exist in literature. Higher quality clinical data is needed to confirm the pregnancy outcomes and safety after HIFU treatment in future.
Astaxanthin has a beneficial influence on pain-related symptoms and opioid-induced hyperalgesia in mice with diabetic neuropathy-evidence from behavioral studies
Authors: Ciapała Katarzyna , Pawlik Katarzyna , Ciechanowska Agata , Makuch Wioletta , Mika Joanna 
Published: November 2024

Abstract
Background
The treatment of painful diabetic neuropathy is still a clinical problem. The aim of this study was to determine whether astaxanthin, a substance that inhibits mitogen-activated protein kinases, activates nuclear factor erythroid 2-related factor 2 and influences N-methyl-D-aspartate receptor, affects nociceptive transmission in mice with diabetic neuropathy.

Methods
The studies were performed on streptozotocin-induced mouse diabetic neuropathic pain model. Single intrathecal and intraperitoneal administrations of astaxanthin at various doses were conducted in both males and females. Additionally, repeated twice-daily treatment with astaxanthin (25 mg/kg) and morphine (30 mg/kg) were performed. Hypersensitivity was evaluated with von Frey and cold plate tests.

Results
This behavioral study provides the first evidence that in a mouse model of diabetic neuropathy, single injections of astaxanthin similarly reduce tactile and thermal hypersensitivity in both male and female mice, regardless of the route of administration. Moreover, repeated administration of astaxanthin slightly delays the development of morphine tolerance and significantly suppresses the occurrence of opioid-induced hyperalgesia, although it does not affect blood glucose levels, body weight, or motor coordination. Surprisingly, astaxanthin administered repeatedly produces a better analgesic effect when administered alone than in combination with morphine, and its potency becomes even more pronounced over time.

Conclusions
These behavioral results provide a basis for further evaluation of the potential use of astaxanthin in the clinical treatment of diabetic neuropathy and suggest that the multidirectional action of this substance may have positive effects on relieving neuropathic pain in diabetes.
Surface integrity and mechanical properties of small elements fabricated through LPBF and post-processed with heat treatment and abrasive machining
Authors: Radziejewska J. , Marczak M. , Maj P. , Głowacki D. , Diduszko R. 
Published: November 2024

Abstract
The present research analyzes the impact of heat treatment atmosphere followed by finishing surface machining of small elements of Inconel 939 fabricated through laser powder bed fusion (LPBF). The analysis involved annealing in two gas mediums, solution treatment, and aging to achieve the desired microstructure and mechanical properties. The finishing surface was performed using various variants of abrasive machining. A more than fivefold reduction in the average roughness height Ra from 5.6 µm to 1.15 µm was achieved using metal balls as an abrasive, which was required for further processing. Residual stress tests have shown that due to heat and abrasive treatment, tensile stresses change into compressive ones. After printing, samples are characterized by tensile residual stresses on the surface (+ 428 MPa), while after heat treatment, compressive stresses occur (− 179 MPa). Abrasive machining with metal balls increases the value of compressive stresses to − 464 MPa. In addition, the impact of post-processing on the microstructure of Inconel 939 was discussed in terms of mechanical properties. The yield strength of 1184 MPa and elongation values of 19.3% were obtained for samples after HT in an argon atmosphere and abrasive machining with a ceramics roller. These studies provide valuable new information on the effective heat treatment and optimization of the finishing machining of Inconel 939, especially in achieving the desired surface roughness, microstructure, and mechanical properties for aerospace applications.
Analysing trends of computational urban science and data science approaches for sustainable development
Authors: Kumar Deepak , Bassill Nick P. 
Published: November 2024

AbstractUrban computing with a data science approaches can play a pivotal role in understaning and analyzing the potential of these methods for strategic, short-term, and sustainable planning. The recent development in urban areas have progressed towards the data-driven smart sustainable approaches to resolve the complexities around urban areas. The urban system faces severe challenges and these are complicated to capture, predict, resolve and deliver. The current study advances an unconventional decision-support framework to integrate the complexities of science, urban sustainability theories, and data science, with a data-intensive science to incorporate grassroots initiatives for a top-down policies. This work will influence the urban data analytics to optimize the designs and solutions to enhance sustainability, efficiency, resilience, equity, and quality of life. This work emphasizes the significant trends of data-driven and model-driven decision support systems. This will help to address and create an optimal solution for multifaceted challenges of an urban setup within the analytical framework. The analytical investigations includes the research about land use prediction, environmental monitoring, transportation modelling, and social equity analysis. The fusion of urban computing, intelligence, and sustainability science is expected to resolve and contribute in shaping resilient, equitable, and future environmentally sensible eco-cities. It examines the emerging trends in the domain of computational urban science and data science approaches for sustainable development being utilized to address urban challenges including resource management, environmental impact, and social equity. The analysis of recent improvements and case studies highlights the potential of data-driven insights with computational models for promoting resilient sustainable urban environments, towards more effective and informed policy-making. Thus, this work explores the integration of computational urban science and data science methodologies to advance sustainable development.
Simplifying traffic simulation - from Euclidean distances to agent-based models
Authors: Khan Tunaggina Subrina , Pfoser Dieter , Ruan Shiyang , Züfle Andreas 
Published: November 2024

AbstractUrban settings require a thorough understanding of traffic patterns to best manage traffic, be prepared for emergency scenarios and to guide future infrastructure investments. In addition to analyzing collected traffic data, traffic modeling is an important tool that often requires detailed simulations that can be computationally intensive and time-consuming. A well-known comprehensive simulation framework is MATSim. On the other hand, simpler shortest-path routing systems that compute trips on an individual basis promise faster computations. The primary focus of this study is to assess the viability of a fast shortest path routing system as a method of traffic simulation. This study compares the MATSim with the Graphhopper routing system. Key metrics include travel time accuracy, congestion levels, route similarity, vehicle miles traveled, and average travel time. By analyzing these metrics, this study shows that a shortest-path routing system can serve as an effective and expedient approximation of more resource intensive simulation frameworks. This has significant implications for authorities and planners, as it offers a quick and efficient tool for traffic management and decision-making during critical events, enhancing their ability to respond quickly and effectively to dynamic traffic conditions.
Assessment of psychometric properties of the Dari version of the Pittsburgh Sleep Quality Index (PSQI) among Afghans
Authors: Neyazi Ahmad , Rahimi Bilal Ahmad , Mohammadi Abdul Qadim , Neyazi Mehrab , Faizee Muhammad Ishaque , Daulati Mohammad Naeem , Razaqi Nosaibah , Afzali Habibah , Qanawezi Laila , Sarem Shararah , Said Saida 
Published: November 2024

Abstract
Background
Sleep helps in improving the functions of all systems of human body. Disturbance in sleep can cause immediate adverse effects on normal human physiologic functions. Main objective of this study was to explore the psychometric properties of the Dari version of the of Pittsburgh Sleep Quality Index (PSQI) among general adult population of Afghanistan.

Methods
This methodological study has been conducted during July to November 2023. Reliability and validity of PSQI were evaluated using Cronbach’s Alpha and confirmatory factor analysis, respectively. Pearson correlation analysis was conducted to assess the convergent validity of the components of PSQI, comparing results with those obtained from the DASS-21 subdomains.

Results
In this cross-sectional study, 965 Afghan adults were studied during five months of duration between July and November, 2023. Mean age of the study participants was 35.2 years. The prevalence of sleep disturbance was 44.6% (430/965). Among them, 59.3% (572/965) reported experiencing subjective sleep quality disturbances less than once a week, 36.2% (349/965) had sleep latency issues less than once a week, 17.6% (170/965) had sleep duration disruption once or twice a week, while 36.3% (350/965) had daytime dysfunction less than once a week. The Cronbach’s alpha coefficient for the seven-component scale was 0.677, indicating acceptable internal consistency. Substantial and statistically significant positive correlations were present among the component of PSQI subjective sleep quality and sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, daytime dysfunction, DASS-Depression, DASS-Anxiety, and DASS-Stress. The overall PSQI exhibited favorable fit indices, supporting the proposed single-factor structure among adult Afghan population.

Conclusion
Prevalence of sleep disturbance was very high among adult population of Afghanistan. This study provided useful information that will help policy makers (such as ministry of public health as well as international donor agencies like WHO, USAID, and UNICEF) to design a better strategy to reduce the prevalence of sleep disturbance that affects health of the Afghan community at large.
Examining psychological detachment from work, work engagement, and thought control in Japanese work at home environments
Authors: Nakamura Shizuka , Kobayashi Masanori 
Published: November 2024

AbstractBecause of shifting social circumstances, a growing number of businesses are implementing work at home options. Working at home enhances work-life balance but blurs the line between work and personal life, making it challenging for workers to psychologically detach from work outside of their designated hours. This blurring of boundaries between work and personal life is thought to potentially increase work engagement. Moreover, achieving psychological detachment from work and disengaging from work-related thoughts outside of working hours are thought to demand high levels of thought control ability. This study hypothesized that (1) compared to office workers, those who work at home struggle more to detach from work and exhibit higher levels of work engagement, (2) higher levels of thought control ability reduce work-related thoughts. This study employed a combination of a cross-sectional survey design and an experimental approach using a cognitive task to examine the research questions. Focusing on Japanese workers, the results confirmed that home workers face challenges in detaching from work and show higher work engagement, identifying work from home as a potential stressor and a factor that may increase work involvement. On the other hand, the study found no link between elevated thought control ability and reduced work-related thoughts during cognitive tasks.
FRET verification of crucial interaction sites in RhoA regulation mediated by RhoGDI
Authors: Li Hui , Guo Jia , Xing Yujie , Deng Linhong , Ouyang Mingxing 
Published: November 2024

AbstractThe small GTPase Rho family are the major factors in mediating actin cytoskeleton dynamics. Rho-specific guanine nucleotide dissociation inhibitors (RhoGDIs) serve as important negative regulators by complexing with inactive Rho into the cytoplasm. However, how these two molecules interact still needs experimental verification. Based on fluorescence resonance energy transfer (FRET) measurements, we would demonstrate crucial sites in RhoGDI and RhoA for this regulatory role. Cotransfection of RhoGDI markedly reduced RhoA or Cdc42 activity in airway smooth muscle (ASM) cells, while D185R-RhoGDI mutant reversed this decrease, indicating that RhoGDI Asp185 residue is essential for the molecular interaction. R68D-RhoA (mutation in the switch II region) resulted in a deficiency in RhoGDI regulation, while TV37/38NG-RhoA (in the switch I region) displayed low RhoA activity. Hence, the Arg68 site in RhoA is indispensable for regulation by RhoGDI, and Thr37Val38 site is important for maintaining RhoA activity. Additionally, microtubule but not actin cytoskeleton showed inhibitory role in RhoA activity, while the dissolution of either cytoskeleton did not change the regulatory role of RhoGDI. In checking the downstream effect, reduction of RhoA activity induced by PDGF stimulation or RhoGDI decreased cellular stress fibers. In this study, FRET visualization was applied to have experimentally demonstrated the interaction sites and crucial role of RhoGDI in regulating RhoA activity.
Graphical Abstract
Prevalence of multidrug-, extensively drug-, and pandrug-resistant bacteria in clinical isolates from King Khaled Hospital, Najran, Saudi Arabia
Authors: Almakrami Mohsen , Salmen Mohammed , Aldashel Yahya Ahmad , Alyami Mesfer Hussain , Alquraishah Nasser , AlZureea Mohammad , Almakrami Jafar 
Published: November 2024

Abstract
Background
Saudi Arabia faces a growing antimicrobial resistance (AMR) problem, exacerbated by the widespread use of antibiotics in clinical and agricultural settings. Despite this, AMR surveillance has been limited, particularly in regions like Najran, making this study critical for informing local and national public health strategies.

Aim
This study explored the prevalence of multidrug-resistant, extensively drug-resistant, and Pandrug-resistant bacteria in Najran, Saudi Arabia.

Study design
This is a cross-sectional study.

Methods
This study included 559 diverse clinical samples (urine, wound, etc.) collected from various departments in King Khaled Hospital, Saudi Arabia. The Phoenix BD instrument was used for complete bacterial identification and antibiotic sensitivity testing. Demographic and clinical data were analyzed statistically.

Results
Of the 559 samples, the culture positivity rates were as follows: 51% for Escherichia coli, 22% for Staphylococcus aureus, 14% for Klebsiella pneumoniae, 6% for Acinetobacter baumannii, 6% for Pseudomonas aeruginosa, and 1% for Enterococcus faecium. Majority of the cases were from male (57%), and age 50+ (59%) recorded highest cases. Participants from outpatient department (OPD) ward recorded the highest (56%) cases, while urine sample recorded the highest (49%) cases. About 84% of the isolates were multidrug‑resistance (MDR), 10% were extensively drug‑resistance (XDR), and 6% pandrug‑resistance (PDR). Our analysis showed high sensitivity to Oxazolidonone, Tetracycline, carbapenems, Lipopeptide, Aminoglycopeptide classes of antibiotics.

Conclusions
The study revealed a high prevalence of drug resistance, highlighting the critical importance of continued surveillance and research to mitigate the spread of antimicrobial resistance and preserve the effectiveness of existing therapies.
A triplanar 2D convolutional network ensemble for infra-alveolar nerve segmentation
Authors: Caselles-Ballester Vicent , Piedra Wenceslao , Casas-Roma Jordi , Burgos-Artizzu Xavier Paolo , Prados Ferran 
Published: November 2024

AbstractCone Beam Computed Tomography scan segmentation is a key step in the digital dentistry workflow. This technology is considered the gold standard for imaging in implant dentistry as well as maxillofacial and oral surgery, where extracting volumetric information is essential. However, manual segmentation is a tedious process that requires significant time and expertise. Therefore, to circumvent these issues, we have developed and present in this study a novel tool for automated nerve segmentation based on deep learning. Specifically, we build on nnU-Net’s self-configuring framework by constructing an ensemble of three 2D convolutional models that leverage information extracted from the three orthogonal planes: axial, coronal and sagittal. We tested our method by participating in the Challenge from the $$26^{th}$$

26

th

edition of the International Conference on Medical Image Computing and Computer Assisted Interventions, held in 2023, where we achieved a Dice Similarity Coefficient of 0.66 and a $$95^{th}$$

95

th

percentile Hausdorff distance of 8.63.