bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation on atmospheric pressure barrier discharge with varying relative position between two wavy dielectric surfaces
Authors: Li Xue-Chen , Wan Wen-Jie , Liu Xiao-Qian , Chen Mo , Wu Kai-Yue , Ran Jun-Xia , Pang Xue-Xia , Zhang Xue-Xue , Wu Jia-Cun , Jia Peng-Ying , Sun Hui 
Published: December 2024

Abstract
As a popular approach to producing atmospheric pressure non-thermal plasma, dielectric barrier discharge (DBD) has been extensively used in various application fields. In this paper, DBD with wavy dielectric layers is numerically simulated in atmospheric pressure helium mixed with trace nitrogen based on a fluid model. With varying relative position (phase difference (Δφ)) of the wavy surfaces, there is a positive discharge and a negative discharge per voltage cycle, each of which consists of a pulse stage and a hump stage. For the pulse stage, maximal current increases with increasing Δφ. Results show that DBD with the wavy surfaces appears as discrete micro-discharges (MDs), which are self-organized to different patterns with varying Δφ. The MDs are vertical and uniformly-spaced with Δφ=0, which are self-organized in pairs with Δφ=π/4. These MD pairs are merged into some bright wide MDs with Δφ=π/2. In addition, narrow MDs appear between tilted wide MDs with Δφ=3π/4. With Δφ=π, the pattern is composed of wide and narrow MDs, which are vertical and appear alternately. To elucidate the formation mechanism of the patterns with different Δφ, temporal evolutions of electron density and electric field are investigated for the positive discharge. Moreover, surface charge on the wavy dielectric layers has also been compared with different Δφ.
Coordination of natural and built infrastructure to better manage extreme events: a hydro-finance modeling framework
Authors: Gao Hongkai , Dinesh Shah Reepal , Yamazaki Dai , J Bohn Theodore , Low Glen , Louis Sabo John 
Published: December 2024

Abstract
Natural infrastructure offers a promising, soft-path solution to water security challenges; however, the scientific framework for siting and measuring the efficacy of such restoration projects is nascent. In this paper, we developed a hydro-finance modeling framework to analyze the impact of constructed wetlands on streamflow extremes and cash flow compared to a purely built, or hard path, infrastructure project. Wetlands significantly diminished the flood peak but had variable—and often negative effects—on baseflow. By contrast, flood peak reduction volumes by wetlands were of adequate size to offset flood pool requirements in downstream reservoirs and meet low-flow targets to sustain manufacturing during the dry season. Net positive cash flow originating from avoided costs of water tariffs offset or exceeded capital costs of modestly sized wetlands built on low value land leading to water security solutions that generate revenue. Building back nature can be profitable.
Waste Ethiopian human hair in concrete as a fiber reinforcement; an innovative way to solid waste cycling
Authors: Adanu Gashaw Abebaw , Mitikie Bahiru Bewket 
Published: December 2024

Abstract
Recycling waste and reducing environmental pollution are the primary goals of sustainable development in the modern era. Several researchers are developing new approaches and thinking about ways to innovate in concrete technology by reusing waste materials. The purpose of this study is to determine how an Ethiopian human hair (waste material) fibre influences the fresh, physical, and mechanical properties of concrete with 0%, 1%, 2%, 3%, and 4% of human hair by volume of cement and to develop a sustainable and environmentally friendly construction material for the construction industry. Slump test, compressive and density test, and water absorption test were used to evaluate this. In this respect, 84 concrete cube examples were constructed and cured on the third, seventh, twenty-eighth, and fifty-six days. HHF addition hindered the workability of concrete as the percentage of human hair rose. After 28 days, the compressive strength was increased by 13.03% with the addition of 2% human hair and the addition of 1% HHF improved the split tensile strength by 15.52%. Also, when the content of human hair grows after 28 days, the density of concrete decreases and water absorption increases. Furthermore, after 28 days, the maximum water absorption was 3.85% at 4% and the minimum water absorption was 2.41% at 1%. Utilizing waste Ethiopian human hair waste as a micro fibre in 1–2% can produce good quality concrete.
Structural disaster resistance and bearing performance degradation mechanism of prefabricated reinforced concrete
Authors: Zhang Lujian 
Published: December 2024

Abstract
Currently, the nodes between prefabricated reinforced concrete columns and columns suffer from long construction period as well as improper maintenance leading to connection quality problems. In order to improve construction efficiency, an innovative prefabricated reinforced concrete column has been proposed. This new type of column uses energy absorbing steel plates connected by bolts as new nodes, and compares its seismic resistance and bearing capacity with ordinary cast-in-place columns. Among them, the new node is composed of energy absorbing steel plates connected by bolts, and a clear force transmission path is designed to ensure the transmission of shear and axial forces. The results revealed that the error between the theoretical and experimental values of the designed prefabricated reinforced concrete columns at peak state was 3.73% and 6.42% for tenon lengths of 100 mm and 200 mm respectively. The equivalent viscous damping coefficient of 0.40 for ordinary cast-in-place columns indicated that these columns have lost their energy dissipation capacity when subjected to seismic action and cannot continue to absorb energy efficiently. The designed prefabricated reinforced concrete columns had higher equivalent viscous damping coefficients when subjected to ground shaking, which indicates that the designed columns have better energy dissipation efficiency and are able to protect the structure from seismic damage better. The design has better peak flexural load bearing performance and high seismic resistance. This helps to evaluate and optimize the seismic performance of prefabricated reinforced concrete columns and provides some references and bases for related engineering designs.
Multi-scale seismic impedance inversion based on Transformer model and deep learning
Authors: Lin Yijian 
Published: December 2024

Abstract
In this paper, we delve into the field of improving the accuracy and efficiency of seismic data processing through innovative applications of multiscale seismic impedance inversion techniques, underpinned by the transformative power of Transformer model architectures and the complexity of deep learning approaches. By crafting a deep learning model that seamlessly integrates the Transformer model framework with multi-faceted feature extraction strategies, we have achieved a breakthrough in accurate inversion of seismic wave impedance in complex geological landscapes, marking an important step forward in this field. In the experiments, we used a large dataset containing more than 1000 seismic data samples covering sandstone layers of varying thicknesses (3–15 m). After meticulous training and rigorous testing, our proposed method has surpassed conventional seismic impedance inversion methods, achieving a notable surge in accuracy. Precisely, the average error margin between the retrieved impedance data and the authentic logging data has been trimmed from 15% down to 12%. This improvement is particularly pronounced in the prediction of thin sand bodies with thicknesses ranging from 5 to 10 meters, where accuracy enhancements of up to 25% have been observed. This outcome not only validates the potency of Transformer models and deep learning technologies in tackling intricate seismic data processing challenges but also underscores the pivotal role of multi-scale analysis in elevating inversion precision to new heights. We also evaluated the computational efficiency of the model. Through optimization algorithm and hardware acceleration technology, the method in this paper achieves faster inversion speed while maintaining high accuracy, and the average single inversion time is shortened to 60% of that of the traditional method. This improvement is of great significance to improve the real-time and efficiency of seismic exploration. The multi-scale seismic impedance inversion technology based on Transformer model and deep learning proposed in this paper performs well in data analysis and practical applications, bringing new solutions and technical means to the field of seismic exploration.
microT-CNN: an avant-garde deep convolutional neural network unravels functional miRNA targets beyond canonical sites
Authors: Zacharopoulou Elissavet , Paraskevopoulou Maria D , Tastsoglou Spyros , Alexiou Athanasios , Karavangeli Anna , Pierros Vasilis , Digenis Stefanos , Mavromati Galatea , Hatzigeorgiou Artemis G , Karagkouni Dimitra 
Published: December 2024

Abstract
microRNAs (miRNAs) are central post-transcriptional gene expression regulators in healthy and diseased states. Despite decades of effort, deciphering miRNA targets remains challenging, leading to an incomplete miRNA interactome and partially elucidated miRNA functions. Here, we introduce microT-CNN, an avant-garde deep convolutional neural network model that moves the needle by integrating hundreds of tissue-matched (in-)direct experiments from 26 distinct cell types, corresponding to a unique training and evaluation set of &gt;60 000 miRNA binding events and ~30 000 unique miRNA–gene target pairs. The multilayer sequence-based design enables the prediction of both host and virus-encoded miRNA interactions, providing for the first time up to 67% of direct genuine Epstein–Barr virus– and Kaposi’s sarcoma–associated herpesvirus–derived miRNA–target pairs corresponding to one out of four binding events of virus-encoded miRNAs. microT-CNN fills the existing gap of the miRNA–target prediction by providing functional targets beyond the canonical sites, including 3′ compensatory miRNA pairings, prompting 1.4-fold more validated miRNA binding events compared to other implementations and shedding light on previously unexplored facets of the miRNA interactome.
Effects of diet and ovariectomy on Toxoplasma gondii brain infection: functional alterations and neuronal loss in rats
Authors: Ahidjo Nene , Seke Etet Paul F , Ngarka Leonard , Maidawa Yaya Frederic , Ndianteng Ethel W , Eyenga Nna Aude L , Meka’a Zang Luc Yvan , Kemmo Christelle , Nwasike Caroline N C , Yonkeu Tatchou Floriane G , Njamnshi Wepnyu Y , Nfor Leonard N , Tsouh Fokou Patrick V , Djiogue Sefirin , Fekam Boyom Fabrice , Ngadjui Bonaventure T , Njamnshi Alfred K 
Published: December 2024

Abstract
Epidemiological evidence associates Toxoplasma gondii latent infection with the development of neuropsychiatric disorders, and various immunological and environmental factors play key pathophysiological roles through host immune response alterations. We investigated the cognitive and motor alterations occurring in the terminal stage of T. gondii infection in rats, and whether a low-protein diet, a high-fat diet or ovariectomy may accelerate their development, given the role of malnutrition and menopause on immunity and resistance to infection. In two sets of experiments, 2-month-old (157.5 ± 4.3 g, n = 42) male (n = 18) and female (n = 24) Wistar rats were infected with T. gondii (ATCC 40050). Open-field and elevated plus maze tests were performed in the terminal stage of infection first and then in the early stage in low-protein diet–fed, high-fat diet–fed and ovariectomized infected rats. Late-stage (90 days) infected and early-stage (17 days) low-protein diet–fed groups showed significant decreases in body weight (42.42%↓, P = 0.016 and 57.14%↓, P &lt; 0.001 versus non-infected, respectively), increases in body temperature (P = 0.001 and P &lt; 0.001, respectively), decreases in blood glucose levels (P = 0.006 and P = 0.020, respectively), signs of cognitive and motor impairment and lower neuron counts. The alterations observed in high-fat diet–fed and ovariectomized infected animals were milder. Low-protein diet feeding to T. gondii-infected rats accelerated the occurrence of the infection terminal stage. Thus, a diet low in proteins could transform a slow early-stage T. gondii infection into an active neurotoxoplasmosis with neuropsychiatric manifestations and possible neurodegeneration in rats.
Iron, lipid peroxidation, and ferroptosis play pathogenic roles in atherosclerosis
Authors: Jinson Swetha , Zhang Ziyang , Lancaster Graeme I , Murphy Andrew J , Morgan Pooranee K 
Published: December 2024

Abstract
Oxidation of lipids, excessive cell death, and iron deposition are prominent features of human atherosclerotic plaques. While extensive research has established the detrimental roles of lipid oxidation and apoptosis in atherosclerosis development, the involvement of iron in atherogenesis is not yet fully understood. With the emergence of an iron-dependent form of cell death termed ferroptosis, new attention has been brought to the complex inter-play among iron, ferroptosis, and atherosclerosis. Mechanistically, ferroptosis is caused by the lethal accumulation of iron-mediated lipid peroxides. Emerging studies have underscored ferroptosis as a contributor to worsened atherosclerosis. Herein, we review the evidence that oxidative damage and iron overload in the context of atherosclerosis may promote ferroptosis within plaques. Furthermore, we summarize recent findings of lipid peroxidation, thereby potentially ferroptosis, in various plaque cell types—such as endothelial cells, macrophages, dendritic cells, T cells, and vascular smooth muscle cells—across different stages of atherosclerosis. Understanding how these processes influence atherosclerotic plaque progression may permit targeting stage-dependent ferroptosis in each cell population and could provide a rationale for developing cell type–specific intervention strategies to mitigate atherogenic ferroptosis effectively.
Construction of Free Curves by Adding Osculating Conics to a Given Cubic Curve
Authors: Dimca Alexandru , Ilardi Giovanna , Malara Grzegorz , Pokora Piotr 
Published: December 2024

Abstract
In the present article we construct new families of free and nearly free curves starting from a plane cubic curve $C$ and adding some of its hyperosculating conics. We present results that involve nodal cubic curves and the Fermat cubic. In addition, we provide new insight into the geometry of the $27$ hyperosculating conics of the Fermat cubic curve using well-chosen group actions.
Insights into adult worker foraging dynamics within a Bombus terrestris (Hymenoptera: Apidae) colony
Authors: Wang Feiran , Dai Jiangrui , Xie Lixing , Chen Xing , Guo Shengnan , Wang Jian , Yao Xudong , Imran Muhammad , Li-Byarlay Hongmei , Luo Shudong 
Published: December 2024

Abstract
Bombus terrestris, an important eusocial insect, plays a vital role in providing pollination services for both wild plants and greenhouse crops. For the development of the colonies, the workers must leave the hives to collect nectar and pollen. However, limited findings about the foraging behavior of B. terrestris workers (e.g., first foraging period, total foraging duration, and daily foraging bouts). Here, radio-frequency identification (RFID) technology was used to monitor the continuously foraging behavior of B. terrestris workers during August and October, 2021 and August, 2023. The findings of our study indicate that the participation rate in the foraging activity among adult workers was 65.07%. In addition, it was observed that adult workers initiate their initial foraging activities on the second day, with the majority commencing their first foraging endeavors between the ages of 3 and 5 days. It is noteworthy that worker bees will remain within the confines of the hive for the entirety of their lifespan, if they do not begin their first foraging within the first 12 days. Our results also revealed that workers were mainly foraged from 7:00 AM to 10:00 AM and 14:00 PM to 17:00 PM in August, while, and predominantly from 12:00 to 15:00 in October. Furthermore, it was shown that foraging efficiency was notably greater during seasons marked by a plentiful availability of flower resources. This was supported by an observed rise in the frequency of daily foraging activities and the overall duration of foraging.
Broad-line active galactic nuclei in the 6dF Galaxy Survey
Authors: Hon Wei Jeat , Webster Rachel L , Wolf Christian 
Published: December 2024

ABSTRACT
The Six-degree Field Galaxy Survey (6dFGS) is a spectroscopic redshift survey of the Southern hemisphere completed in 2006. While it provides 136 304 spectra of mostly low-redshift galaxies, a large and reliable catalogue of active galactic nuclei (AGNs) that are selected based on spectral signatures is still lacking. In this work, we present an extensive list of verified broad emission-line AGNs in the 6dFGS sample. We visually confirm the AGN nature of all spectra, and disentangle fibre cross-talk to remove bogus AGNs. The final catalogue contains 2513 unique broad-line AGNs with a median redshift of 0.207, of which 891 are identified for the first time. A flux-limited subsample contains 665 AGNs to a K-band magnitude of 13. This new sample adds to the list of known low-luminosity AGNs in the Southern hemisphere and thus provides a basis for investigations of low-redshift AGNs with the upcoming Vera C. Rubin Observatory.
Expanding the Range of Epithelial Marker and SMA Staining of Superficial CD34+ Fibroblastic Tumors: A Case Report and Review of the Literature
Authors: Ren Dong , Wei Katherine , Doan Linda 
Published: December 2024

Abstract:
Superficial CD34+ fibroblastic tumor (SCD34FT) is a relatively recently described borderline mesenchymal neoplasm. Owing to a relative lack of specificity in clinical presentation, radiopathologic findings, and immunohistochemical staining, the diagnoses of SCD34FT can be challenging. In this study, we present a case of a 55-year-old woman with an indolent painless nodule on the right shin. Histopathologic evaluation of the resected specimen showed a moderately cellular, subcutaneous lesion composed of spindled cells with mild pleomorphism arranged in sheets and fascicles. Immunohistochemical staining demonstrated diffuse positivity for CD34. Surprisingly, the tumor also showed diffuse expression of smooth muscle actin (SMA) and more than focal (ranging from subset to diffuse) expression of AE1/AE3 and CAM5.2. DNA and RNA next-generation sequencing revealed a t(X; 11)(q13; q24) MED12::PRDM10 fusion, confirming the diagnosis of SCD34FT. To the best of our knowledge, this is the first reported case highlighting SCD34FT with more extensive immunoreactivity to epithelial markers (AE1/AE3 and CAM5.2) and SMA compared with the focal staining reported in the existing literature. We hope that adding this case to the existing literature will raise awareness among pathologists to recognize the more variable staining pattern of epithelial markers and SMA when considering the diagnosis of SCD34FT.
Systematic Review and Meta-Analysis of OCT measurements in patients with chronic kidney disease
Authors: Bineshfar Niloufar , Changizi Faraz , Farjam Mina , Sharafi Faezeh , Williams Basil K. 
Published: December 2024

Purpose:
To assess neurodegeneration and chorioretinal thickness in subjects with and without chronic kidney disease (CKD).

Methods:
PubMed, Web of Science, Scopus and Embase were searched using proper keywords for articles published in the English language from their inception until January 2024. Publications were included if they reported optical coherence tomography (OCT) measurements of retinal or choroidal layers in patients with CKD compared to healthy or non-CKD controls. We used a random-effects model to calculate pooled standardized mean difference (SMD) estimates and 95% confidence intervals (CIs).

Results:
Twelve studies, with 29,340 patients, were included in quantitative synthesis. In comparison to controls, patients with CKD had a significantly lower value for average retinal thickness (SMD [CI]: –0.35 [–0.58; –0.12], P = 0.028), choroidal thickness (SMD [CI]: –1.84 [–4.17; 0.49], P = 0.122), macular ganglion cell-inner plexiform layer (GC-IPL) (SMD [CI]: –0.58 [–0.78; –0.38]], P < 0.001), and peripapillary retinal nerve fiber layer (RNFL) thickness (SMD [CI]: –0.32 [–0.44; –0.20], P < 0.001). Significant RNFL thinning was observed in both diabetic CKD excluded and not excluded subgroups.

Conclusion:
Compared to controls, the eyes of patients with CKD have significantly thinner retina, GC-IPL, and RNFL.
Neonatal Intensive Care Nurses’ Perceptions of Artificial Intelligence
Authors: Coşkun Adnan Batuhan , Kenner Carole , Elmaoğlu Erhan 
Published: December 2024

Objective:
This study aims to examine neonatal intensive care unit (NICU) nurses’ perceptions of artificial intelligence (AI) technologies, particularly language models, and their impact on nursing practices.

Background:
AI is rapidly spreading in healthcare, transforming nursing practice. Understanding the role of AI in NICUs in the discharge process is crucial for understanding nurses’ perceptions of these technologies.

Methods:
The qualitative, phenomenological study used semi-structured interviews. Data were collected in a public hospital in Gaziantep from January to June 2024. Fifteen NICU nurses participated. Data were analyzed using content analysis.

Results:
Most nurses found AI to be a valuable tool for saving time and simplifying information delivery in clinical processes. However, concerns were raised about AI potentially reducing human interaction and weakening the use of professional judgment. Serious concerns about AI’s reliability and ethical implications were also expressed.

Conclusions:
AI is considered a potentially supportive tool in nursing practice, but its integration must consider the ethical implications and impact on the use of professional judgment. Nursing is based on human interactions and AI should be considered an additive tool to enhance care.

Implications for practice and research:
AI integration in nursing requires careful and balanced implementation. Future research should delve deeper into the ethical dimensions of AI and its long-term effects on nursing practices.