bluuebunny/crossref_metadata_2025_split huggingface dataset:
O primeiro registro de um híbrido em espécies de vida livre do gênero Columbina, por Columbina picui (Temminck, 1813) e Columbina talpacoti (Temminck, 1811).
Authors: Silva Ricardo Henrique Pereira da , Souza José Alan Sales , de Lucena Bruno Pinho , Mariano Erich de Freitas 
Published: April 2024

Abstract

Hybridization between bird species is a phenomenon that has been widely documented in scientific literature. However, this study presents the first record of free-living hybridization between the species Columbina picui and Columbina talpacoti. The case occurred in the municipality of Itapetim, Pernambuco, Brazil, at a site on the edge of town, near the Pajeú River, with well-wooded surroundings and just a few meters from the countryside. We observed a variety of behaviors from both the parental taxa and the juvenile individual, as well as analyzing the pterylographic characteristics of the hybrid. Although the occurrence of hybrids in the Columbidae family has been previously described, this case represents the first record of hybridization between species of the Columbina genus. The relevance of this study stands out, since the description of hybrids contributes significantly to various branches of science, such as knowledge of evolutionary processes, through the emergence of reproductively isolated hybrid species, as well as the genetic diversity that these individuals can provide.
Pulmonary benign metastasizing leiomyoma presented as acute hypoxemic respiratory failure: A case report
Authors: Lin Yan , Chu Junqing , Qiao Wenbo , Yu Chao , Gao Chunhua 
Published: April 2024

Abstract
Pulmonary benign metastasizing leiomyoma is a rare disease, and it often occurs in women of childbearing age with a history of uterine smooth muscle tumors and uterine leiomyoma surgery. The disease progression in PBML is often unpredictable and depends on the condition of the extent to which the lung is involved. Generally, most patients are asymptomatic, but a few have cough, wheezing, or shortness of breath, which are often misdiagnosed as pneumonia. Therefore, it has a large difficulty of treatment and nursing in pre-diagnosis. This paper reports a 35-year-old woman who was primarily diagnosed with acute hypoxic respiratory failure and transferred to the intensive care unit from the emergency room. The patient's lung Initial computed tomography scan shows that it is diffuse interstitial pneumonia, but no bacteria, fungi, or viruses were detected by sequencing of the alveolar lavage pathogenic macroscopic genome. Besides, the patient had a persistent hypoxic state before the definitive diagnosis. So, we focused on maintaining the airway patency of the patient, using prone ventilation, inhaling nitric oxide, monitoring electrical impedance tomography, and preventing ventilator-associated pneumonia to improve oxygenation, to wait for the immunohistochemical staining of the patient's biopsied lung tissue, which could help us to clarify a diagnosis and treat it base on etiology. After careful treatment and nursing, the patient was removed from the ventilator after 26 days and was transferred to the respiratory ward after 40 days. This meeting could provide a reference for clinical practice and help the patient who is suffering from PBML.
The fabrication of Spherical Hydroxypropyl Cellulose/Molybdenum Disulfide for the Efficient Removal of Europium
Authors: Li Yan , Zheng Yuqi , Guo Sisheng , He Wenfang , Wang Jian 
Published: April 2024

Abstract

The hydroxypropyl cellulose embellished molybdenum disulfide (HPC/MoS2) was prepared to remove europium(Eu) from aqueous solution. Introducing hydroxypropyl cellulose into molybdenum disulfide can provide more functional groups and active sites to bind to Eu(III). The material showed a rugged and uneven spherical structure with a diameter of 4.5 µm. The adsorption of Eu(III) relied on pH, and the adsorption capacity of HPC/MoS2 for Eu(III) attained 157.2 mg/g at 298 K. The Eu(III) removal mechanisms included Eu(III) entering the layers of HPC/MoS2, electrostatic attraction, forming complexes, and generating sediment. This study can provide new insight into the design and application of two-dimensional nanomaterials for environmental pollution cleanup.
Gender Affirming Hormonal Therapy Induces a Gender-Concordant Gut Metagenome Transition in Transgender Individuals
Authors: Liwinski Timur , Auer Matthias K. , Schröder Johanna , Pieknik Ina , Casar Christian , Stalla Günter K. , Lang Undine E. , Klitzing Alina , Briken Peer , Hildebrandt Thomas , Bang Corinna , Schramm Christoph , Fuss Johannes 
Published: April 2024

Abstract

Background
Limited data exists regarding gender-specific microbial alterations during gender-affirming hormonal therapy (GAHT) in transgender individuals. This study aimed to investigate the nuanced impact of sex steroids on gut microbiota taxonomy and function, addressing this gap. We prospectively analyzed gut metagenome changes associated with twelve weeks of GAHT in trans women and trans men, examining both taxonomic and functional shifts.
Methods
Thirty-six transgender individuals (17 trans women, 19 trans men) provided pre- and post-GAHT stool samples. Shotgun metagenomic sequencing was used to assess the gut microbiota response.
Results
While alpha and beta diversity remained unchanged during transition, specific species, including Parabacteroides goldsteinii and Escherichia coli, exhibited significant abundance shifts aligned with affirmed gender. Overall functional metagenome analysis showed a statistically significant effect of gender and transition (R2 = 4.1%, P = 0.0115), emphasizing transitions aligned with affirmed gender, particularly in fatty acid-related metabolism.
Conclusions
This study provides compelling evidence of distinct taxonomic and functional profiles in the gut microbiome between trans men and women. GAHT induces androgenization in trans men and feminization in trans women, potentially impacting physiological and health-related outcomes.
Trial registration
clinicaltrials.gov NCT02185274
Machine learning algorithm to predict determinants of home delivery after ANC visit among reproductive age women in East Africa: Using SHAP
Authors: Walle Agmasie Damtew , Kebede Shimels Derso , Adem Jibril Bashir , Gebreegziabher Zenebe , Mamo Daniel 
Published: April 2024

Abstract

Background: Home birth is described as a delivery that takes place at home without the presence of a skilled birth attendant. Home delivery after ANC visit is a major public health concern, and reducing the proportion of home births in East Africa is a key strategy for lowering the maternal death rate. However, no studies on this public health issue. Therefore, this study aimed to assess the machine learning approach to predict determinants of home delivery after ANC visits among reproductive-age women in East Africa.
Methods: A community-based, cross-sectional study was conducted using a recent Demographic and Health Survey (DHS) from 2011 to 2021 data set. Nine supervised machine learning algorithms were employed on a total weighted sample of 44,123 women and evaluated using performance metrics using Python version 3.11 statistical software. This study also employed the most popular outlines of Yufeng Guo’s steps of supervised machine learning and SHAP analysis to predict and identify important predictors of home delivery after ANC visits in East Africa.
Results: Home delivery after ANC visit was highest in Malawi, Uganda, and Kenya. Among the nine machine learning algorithms random forest was fitted for this study. The Beeswarm plot of SHAP analysis showed that being a rural resident of women and having a second trimester of ANC visit increases the likelihood of home delivery after an ANC visit. Whereas rich household income, secondary educational level of husband, contraceptive use, short birth interval, primary educational level of husband, having no problems of distance to health facility, and having above four ANC visits decreased women’s home delivery after ANC visits in East Africa.
Conclusion: The random forest machine learning classification algorithms effectively predict home delivery after the ANC visit. As a result, this study recommends, considering the top ten determinants of home delivery and guaranteeing high-quality health institution services from a qualified practitioner, women should begin antenatal care services early and often throughout their pregnancies. Developing health facilities, promoting media health education, and encouraging women to get adequate information on health care services. Moreover, healthcare policy should give great consideration to women from low-income households.
Performance and Stability Assessment of Hybrid Semisubmersible Platform Under Metoceanic Condition of Bay of Bengal
Authors: Dey Swarnadip , Banik Atul , Roy Pronab 
Published: April 2024

Abstract

This paper provides a useful and simple methodology supported by the available literature to estimate meteorological and oceanographical loads combination i.e., metocean data of Bay of Bengal. A reliability-based approach to determine the joint occurrence of wave parameters conditioned in average wind speed is proposed. Based on hindcast data, the statistical description of the metocean is formulated. Furthermore, a parametric study is carried out after performing coupled dynamic analysis of this novel hybrid semisubmersible platform combined with wave energy convertor which was proven to be more suitable to operate in the recognised United States’ coast from its base platforms. The significant observation from this study is that the Bay of Bengal has a substantial potential to extract energy from the available wind as this metocean condition supports to generate a wide range of wind power from the tested platform unlike from the energy pattern generated from the same platform installed in the coasts of United States. Additionally, it is also observed that the motion of the flap type wave energy convertor with flexible arm can generate relatively more wave energy in survival state than the operational state of the system. Finally, it can be concluded that a new location of resourceful wind and wave in Indian subcontinent to generate renewable power from a hybrid platform can be identified from this study by adopting a simplified methodology.
Aquatic Condition Index (ACI): A rapid wetland assessment tool for evaluating urban wetland health
Authors: Erratt Kevin J. , Nwaishi Felix , Lee Tracey S. , Allison Abisola , Carney Vanessa A. , Creed Irena F. 
Published: April 2024

Abstract

Urbanization poses significant threats to wetland ecosystems, leading to habitat loss, hydrological alterations, and the introduction of invasive species that adversely affect essential ecosystem services. This widespread threat underscores the need to develop a robust management tool for gauging urban wetland health. The Aquatic Condition Index (ACI) has been proposed as a diagnostic tool for monitoring urban wetland health in Calgary, Alberta, Canada. The ACI evaluates wetland health by incorporating functional indicators (i.e., hydrologic, ecological, and water quality functions) chosen by scientific experts. Gathering the data necessary to generate wetland indicators for the ACI requires substantial financial resources and a high degree of analytical expertise for data collection (e.g., field surveys), thus presenting opportunities for optimizing indicators. Here, we shifted from physical to visual-based assessments (i.e., in the field and using geographic information systems), which refined indicator selection and removed those with low practicality. The refined ACI tool provides results comparable to the original prototype and a rapid and cost-effective solution for long-term urban wetland monitoring and assessments to ensure the sustainability of these core urban features.
Exploring Advice-Seeking Dynamics in Undergraduate Medical Research: A Social Network Analysis
Authors: Jarukasemkit Setthanan , Yoadsanit Seksan , Teansue Chawisa , Sukkrasanti Peerapass , Kaewkamjornchai Phanuwich , Leerapan Borwornsom 
Published: April 2024

Abstract

Purpose
Research achievement thrives on collaboration, often facilitated by mentorship. To understand how these meaningful interactions promote research productivity, this study investigates the dynamics of undergraduate peer-to-peer and student-to-advisor advice-seeking behaviors using social network analysis (SNA). SNA provides a valuable quantitative lens to map social structures and reveal potential collaborative opportunities and barriers.
Method
Cross-sectional surveys on advice-seeking behavior were collected from 95 medical students enrolled in the research program from 2016 to 2023. The data were obtained from medical students awarded research presentations and publication grants. SNA was used to visualize the dynamics of advice-seeking behaviors and research community structure. Path analysis and subgroup analysis were then conducted to identify influential success factors.
Results
SNA revealed a shift towards decentralized advice-seeking behaviors and a rising trend in peer-to-peer advice-seeking. Our analysis identified modularity or group formation as a key social mechanism that mediated the number of projects by 20.41% (p = 0.04). Students preferentially seek advice from those at a similar academic year and stage (preclinical vs. clinical), while gender and field of research interest did not show a significant impact. Subgroup analysis also revealed distinct variations in advice-seeking patterns among genders, academic stages, cohort statuses, and publication statuses.
Discussion
This study presents the first empirical exploration of advice-seeking dynamics within the undergraduate research community. Based on the network perspective, this study identifies group formation as a mediator toward research productivity that medical educators should consider. Moreover, studying advice-seeking behavior can unveil the influences of institutional policy and the hidden factors affecting undergraduate collaboration patterns. Encouraging research diversity and establishing a student research mentorship program can potentially promote research productivity and desirable outcomes.
Ambulatory dispersal of Typhlodromus (Anthoseius) recki Wainstein (Acari: Phytoseiidae) along Solanceae stem
Authors: Tixier Marie-Stephane , Raeckelboom Amandine , Tabary Lou , Douin Martial , Navajas Maria , Navia Denise 
Published: April 2024

Abstract

Tomato crops are attacked by several pests, including mites. While the main predatory mites are not effective enough to control mite pests due to problems with plant dispersal and establishment (associated with glandular trichomes - GT - on leaves and stems), recent studies have shown encouraging results with the European endemic phytoseiid Typhlodromus (Anthoseius) recki. The first objective of the present study was to assess the ability of this species to disperse along the tomato stem, considering six genotypes of Solanum lycopersicum, S. peruvianum and S. cheesmaniae with contrasted trichome numbers and types of stem trichomes, accuratetly characterised in a previous study. As morphological variation in body size has been observed within the species T. (A.) recki, the second objective was to determine how predator morphological traits can explain dispersal along the tomato stem. For this, ambulatory dispersal ability of females was tested in lab conditions on the eight Solanum genotypes. Then, the females were mounted on slides and body dimensions measured. No effect of the tomato genotypes was observed on the dispersal ability of the predator. However, specimens that succeeded in crossing the stem, had a higher mobility time than those that failed. Furthermore, body width at midbody and dorsal shield length were negatively correlated with dispersal ability. This suggests that the more slender and relatively small the specimens, the more are mobile and able to successfully cross the stem, regardless of the plant genotype considered. The number of glandular trichomes type (GT) VI and to a lesser extent GT I and IV, and non-glandular trichomes (NGT) II&III appear to limit dispersal. The GT VI seems to have a repellent effect, inducing mite escape in some cases. On the opposite, the number of NGT V were positively correlated with high mobility and stem crossing rates. Assuming that the main barrier to biological control efficiency is dispersal along tomato stems, the results obtained here should have implications for biological control success. The proportion of mites with 'optimal dimensions' appears to be low and further studies should be undertaken to better assess the proportion of mites with such ideal dimensions in different populations and also to determine whether these morphological traits are associated with different feeding abilities and/or abiotic conditions.
Prediction model for device density of states for quantum-confined SiC nanotube with magnetic dopant: A Machine learning and DFT based combined framework
Authors: Roy Debarati Dey , Guluzade Sevinj , Jafarova Vusala 
Published: April 2024

Abstract
In this study based on Density Functional Theory (DFT) and Local Spin Density Approximation (LDA) methods within Hubbard U corrections have been theoretically studied electronic and magnetic properties of single wall silicon carbide nanotube doped by vanadium. These properties were simulated for cases that single or double silicon atoms of the SiC nanotube replaced with V atoms. Using Deep Learning (DL) Algorithms are the boon to provide prediction of quantum-confined electronic structure calculations, however first-principles simulation methods more accurate. ML based regression model shows the accuracy and prediction model for the quantum-confined nanotube. Among the various neural network algorithms, tri-layered and medium neural netwok algorithms provide more accuracy and less error rate for this molecular nanotube. The comparison between ML based approach and DFT based procedure reveals the similarity and accuracy of the proposed algorithm. The first-principles calculated energy spin-up and spin-down band gap values for single wall chiral (6,0) SiC:V nanotube systems are about of 0.6 and 1.4 eV, respectively. Although the undoped SiC system is a nonmagnetic, the V-doped SiC nanotube induces magnetism and total magnetic moment of this magnetic material equal to ~1.001 µB. Density of states calculations indicated that the magnetization of SiC:V single wall nanotube mainly come from the 2p orbitals of carbon atoms and 3d orbitals of V dopant. From the total energy calculations for ferromagnetic and antiferromagnetic phases for V-doped SiCNT systems obtained that the ferromagnetic phase more stable.
The Impact of China’s Environmental Protection Tax on Resource Allocation Efficiency
Authors: Zhong Yu , Xu Yanchao , Tang Baoshi 
Published: April 2024

Abstract

Understanding the efficacy of environmental protection taxes in optimizing resource allocation efficiency is crucial, yet limited empirical evidence exists on this topic. Based on a sample of Chinese listed manufacturing companies spanning the 2012–2021 period, this study employs a difference-in-differences approach to rigorously evaluate the nuanced impact of environmental protection taxes on resource allocation efficiency in the Chinese context. Our findings underscore that environmental protection taxes serve as catalysts for improved resource allocation efficiency, orchestrating factor flows towards high-productivity enterprises and simultaneously amplifying their market shares. Furthermore, these fiscal instruments play a pivotal role in ameliorating credit resource distortions vis-à-vis heavily polluting industries, thereby curbing instances of capital misallocation. And the disparity in actual tax rates among enterprises decreased. The influence of environmental protection taxes on resource allocation is particularly pronounced in sectors characterized by heightened pollution levels. Finally, the robustness of tax administration capabilities, and mitigating collusion between governmental and corporate entities are instrumental factors in safeguarding the resource allocation efficacy of environmental protection taxes.
The Impact of Tumor Resection on Survival and Functional Outcomes for Patients with Primary Central Nervous System Lymphoma
Authors: Nien Ju-En , Chuang Chi-Cheng , Hsu Peng-Wei , Huang Yin-Cheng , Tsai Hong-Chieh , Chen Pin-Yuan , Lee Cheng-Chi , Lu Yu-Jen , Lin Ya-Jui , Wei Kuo-Chen , Chen Ko-Ting 
Published: April 2024

Abstract
Purpose
The role of tumor resection remains undetermined in treating primary central nervous system lymphomas (PCNSLs). This study aimed to clarify the impact of tumor resection on survival and functional outcomes, and to identify subgroups benefiting from resection.
Methods
We retrospectively reviewed records from 2010 to 2021 for PCNSL diagnosed at Chang Gung Memorial Hospital, Linkou. Patients were categorized by extent of resection: gross total resection (GTR), partial resection (PR), and biopsy. Univariate and multivariate analyses were performed to identify prognostic factors for survival and functional outcomes. Subgroup analysis was conducted to characterize patients who benefit from tumor resection.
Results
Of 88 patients, 12 had GTR, 25 had PR, and 51 received biopsy. GTR correlated with longer progression free survival (PFS) (HR 0.25, p = 0.039), remaining significant in multivariate analysis (adjusted HR 0.09, p = 0.004). In solitary PCNSLs, GTR also independently predicted longer PFS (adjusted HR 0.13, p = 0.023). Patients with dominant tumors measuring ≥ 3cm trended towards improved overall survival (OS) with cytoreductive surgery versus biopsy (median survival 38.6 months vs 22.3 months, p = 0.083). Age ≥ 60 years (adjusted OR 16.9, p = 0.008) and preoperative Karnofsky Performance Scale ≤ 70 (adjusted OR 4.97, p = 0.049) predicted poorer functional outcomes, while radiation therapy (adjusted OR 0.10, p = 0.033) was protective.
Conclusions
GTR significantly improved PFS in treating PCNSLs, particularly in solitary cases. For patients with dominant tumors measuring ≥ 3cm, cytoreductive surgery may improve OS. Neither cytoreductive surgery nor GTR correlated with poor functional outcomes.
Risk Spillover Effects of International Risk Factors on China's Energy Market - Based on Geopolitical Threats and Shipping Markets
Authors: Ren Zheng Yu , Chen Yujie , Hsiao Cody Yu-Ling , Liao Chonghan 
Published: April 2024

Abstract

Risks caused by geo-risk cases, such as regional conflicts, propagate around the world, and this study provides insights into the dynamic and complex interactions of risks between international geopolitical risks, international shipping markets, China's carbon market, and the energy sector. The findings show that international geopolitical risk and international shipping markets are net transmitters of risk with positive net spillover values, indicating that they tend to export risk volatility to other markets. In contrast, the Chinese carbon market and the markets of traditional energy and high-emission sectors exhibit amplified volatility in the face of extreme risk events such as the COVID-19 pandemic, the Russian-Ukrainian conflict and the Israeli-Palestinian conflict. This highlights the time-varying nature of risk spillovers in these markets. Notably, the peaks in net spillovers from the Geopolitical Risk Index to the Baltic Dry Index and Shanghai crude oil futures suggest a direct correlation with geopolitical tensions affecting the oil and shipping industries, such as conflicts in oil-rich regions or maritime disputes affecting shipping lanes. These findings highlight the mediating role of international shipping in the transmission of geopolitical risks to regional markets. The paper concludes with policy recommendations for predicting and mitigating the impact of geopolitical uncertainty and shipping markets on energy markets.