bluuebunny/crossref_metadata_2025_split huggingface dataset:
Osteomyelitis and Aortic Arteritis with thrombosis as primary manifestations of systemic paracoccidioidomycosis: a case report
Authors: Duarte-Neto Amaro N. , Dantas Katia C. , Lombardi Suzete C. F. Spina , Freitas-Xavier Roseli S. , Vicentini Adriana P. , Junior Alfredo Mendroni , Claros Simon Claros , Silva Luiz Fernando F. , Saldiva Paulo H. N. , Dolhnikoff Marisa , Cunha Marielton dos Passos , Mauad Thais 
Published: January 2024

Abstract

Background
Paracoccidioidomycosis (PCM) is a neglected deep mycosis caused by Paracoccidioides sp. We describe a fatal PCM case, presenting as osteomyelitis, in a man having frequent contact with an endemic region of São Paulo, Brazil.
Case presentation:
A 67-year-old man who lived in an urban area, had frequent fishing trips to an endemic region. He presented with osteomyelitis of the femur and iliac artery thrombosis at hospital admission. Thoracic CT revealed multiple cavitated lung nodules. The patient rapidly progressed to irreversible respiratory failure. The autopsy revealed disseminated PCM and thrombosis of the iliac artery. Laboratory investigation confirmed a P. brasiliensis infection with phylogenetic results revealing sequences recovered from patient samples grouped with sequences characterized as P. brasiliensis complex.
Conclusion
Atypical PCM remains a diagnostic challenge. Increased awareness of contagion sites and different clinical presentations will lead to improved patient management.
Phosphate-grafted polyethyleneimine-induced multifunctional cerium oxide as an antioxidant for simultaneously enhancing the proton conductivity and durability of proton exchange membranes
Authors: Zhao Shengqiu , Liao Yucong , Wang Rui , Li Yao , Shuai Jiaqi , Wang Letian , Liu Bingxuan , Chen Rui , Tian Tian , Zhang Haining , Tang Haolin 
Published: January 2024

Abstract
Free radical attack on Proton exchange membranes (PEM) is detrimental to the long-term durability of proton exchange membrane fuel cells (PEMFCs), and although state-of-the-art cerium-based antioxidants defend against free radical attack, potentially impairing the proton conductivity of PEM limits their more comprehensive application. To break the "trade-off" between the durability and proton conductivity of PEM, a functionalized cerium oxide (CeO2@Ph-PEI) composite with a synergistic enhancement of durability and proton conductivity has been synthesized induced by phosphate-grafted polyethyleneimine (Ph-PEI). Owing to the strong adsorption of phosphate groups on transition metal hydroxides/oxides, Ph-PEI was firmly anchored on the particle surface during the transition from sol-gel to oxide, which suppressed the further aggregation of CeO2 nanoparticles and thus retained abundant active sites for free radical scavenging. Moreover, due to the extra proton transport sites in the anchored Ph-PEI functional shells, the hybrid membrane fabricated with CeO2@Ph-PEI as the antioxidant additive exhibited a high proton conductivity up to 0.242 S cm− 1, which was approximately 1.32 times higher than that of the unmodified CeO2-based hybrid membrane. Consequently, CeO2@Ph-PEI-based PEMs exhibited an OCV decay rate of 0.32 mV h− 1, a maximum power density of 1.19 W cm− 2, an H2 crossover value of 2.12 mA cm− 2, and thickness retention (93.7%) after 200 hours of accelerated degradation testing. This strategy synergistically improves the proton conductivity of PEMs and the lifetime of PEMFCs through CeO2 functionalization, providing a promising solution for next-generation fuel cell-based energy storage techniques.
Evapotranspiration estimation using high-resolution aerial imagery and pySEBAL for processing tomatoes
Authors: Peddinti Srinivasa Rao , Nicolas Floyid , Raij-Hoffman Iael , Kisekka Isaya 
Published: January 2024

Abstract

The utilization of high-resolution aerial imagery for assessing actual crop evapotranspiration (ETa) holds the potential to optimize the use of limited water resources in agriculture. Despite this potential, there is a shortage of information regarding the effectiveness of energy balance algorithms, initially designed for satellite remote sensing, in estimating ETa using aerial imagery. This study addresses this gap by employing the remote sensing model pySEBAL (Surface Energy Balance Algorithm for Land) in conjunction with high-resolution aerial imagery to estimate ETa for processing tomatoes. Throughout the 2021 growing season, an aircraft captured multispectral and thermal imagery over a processing tomato field near Esparto, California. Simultaneously, an eddy covariance flux tower within the field measured high-frequency turbulent fluxes and low-frequency biometeorology variables essential for evaluating the energy balance. The comprehensive assessment of energy balance components, including ETa, yielded compelling evidence that pySEBAL accurately estimated ETa at high spatial resolution. The root mean square error (RMSE) for various energy balance components were as follows: 33 Wm− 2 for latent heat flux, 29 Wm− 2 for sensible heat flux, 24 Wm− 2 for net radiation, and 10 Wm− 2 for soil heat flux. Additionally, ETa exhibited an RMSE of 0.26 mmd− 1. Notably, all components demonstrated an R2 exceeding 0.92. Moreover, the spatial mapping of ETa across the processing tomato field visually depicted the spatial variability associated with irrigation scheduling, crop development, areas affected by disease, and soil heterogeneity. This research underscores the value of high resolution spatial aerial imagery and pySEBAL algorithm for estimating ETa variability in the field, a crucial aspect for guiding precision irrigation management and ensuring the optimal use of limited water resources in agriculture.
Pediatric Upper Lip Myopericytoma: A Case Report and Comprehensive Review
Authors: Wei Bin , Liu Gui , Li Kun , Quan Hongzhi 
Published: January 2024

Abstract
Myopericytoma, a seldom encountered spindle cell tumor of mesenchymal origin, is usually benign. It is marked by the concentric proliferation of tumor cells surrounding blood vessels within subcutaneous tissues. Its primary occurrence is observed among middle-aged adults and is typically located in the distal extremities, although cases have been documented in the proximal extremities and the head-neck region. Nevertheless, its manifestation within the oral cavity is exceedingly uncommon. So far, literature reviews have uncovered just two cases in children under the age of 10, alongside a mere five reported occurrences of myopericytoma in the lip region. In this report, we present a case involving myopericytoma located in the upper lip of a 7-year-old girl. Additionally, we furnish a comprehensive review and analysis of all documented cases, contributing to an improved comprehension of this condition.
Factors influencing nurse practitioner panel size in team-based primary care: A qualitative case study
Authors: Martin-Misener Ruth , Donald Faith , Rayner Jennifer , Carter Nancy , Kilpatrick Kelley , Ziegler Erin , Bourgeault Ivy , Bryant-Lukosius Denise 
Published: January 2024

Abstract

Background: Lack of access to health care is a worldwide public health crisis. In primary care it has led to increases in the implementation of nurse practitioners and heightened interest in their patient panel capacity. The aim of this study was to examine factors influencing nurse practitioner patient panel size in team-based primary care in Ontario, Canada.
Methods: We used a multiple case study design. Eight team-based primary care practices including rural and urban settings were purposively selected as cases. Each case had two or more nurse practitioners with a minimum of two years experience in the primary care setting. Interviews were conducted in-person, audio recorded, transcribed and analysed using content analysis.
Results: Forty participants, including 19 nurse practitioners, 16 administrators (inclusive of executives, managers, and receptionists), and 5 physicians were interviewed. Patient, provider, organizational, and system factors influenced nurse practitioner patient panel size. There were eight sub-factors: complexity of patients’ health and social needs; holistic nursing model of care; nurse practitioner experience and confidence; composition and functioning of the multidisciplinary team; clerical and administrative supports, and nurse practitioner activities and expectations. All participants found it difficult to identify the panel size of nurse practitioners, calling it― “a grey area.” Establishing and maintaining a longitudinal relationship that responded holistically to patients’ needs was fundamental to how nurse practitioners provided care. Social factors such as gender, poverty, mental health concerns, historical trauma, marginalisation and literacy contributed to the complexity of patients’ needs. Participants indicated NPs tried to address all of a patient’s concerns at each visit.
Conclusions: Nurse practitioners have a holistic approach that incorporates attention to the social determinants of health as well as acute and chronic comorbidities. This approach compels them to try to address all of the needs a patient is experiencing at each visit and reduces their panel size. Multidisciplinary teams have an opportunity to be deliberate when structuring their services across providers to meet more of the health and social needs of empanelled patients. This could enable increases in nurse practitioner panel size.
High-level preferences as positive examples in contrastive learning for multi-interest sequential recommendation
Authors: Zhu Zizhong , Li Shuang , Liu Yaokun , Zhang Xiaowang , Feng Zhiyong , Hou Yuexian 
Published: January 2024

Abstract
The sequential recommendation task based on the multi-interest framework aims to model multiple interests of users from different aspects to predict their future interactions. However, researchers rarely consider the differences in features between the interests generated by the model. In extreme cases, all interest capsules have the same meaning, leading to the failure of modeling users with multiple interests. To address this issue, we propose the High-level Preferences as positive examples in Contrastive Learning for multi-interest Sequence Recommendation framework (HPCL4SR), which uses contrastive learning to distinguish differences in interests based on user item interaction information. In order to find high-quality comparative examples, this paper introduces the category information to construct a global graph, learning the association between categories for high-level preference interest of users. Then, a multi-layer perceptron is used to adaptively fuse the low-level preference interest features of the user's items and the high-level preference interest features of the categories. Finally, user multi-interest contrastive samples are obtained through item sequence information and corresponding categories, which are fed into contrastive learning to optimize model parameters and generate multi-interest representations that are more in line with the user sequence. In addition, when modeling the user's item sequence information, in order to increase the differentiation between item representations, the category of the item is used to supervise the learning process. Extensive experiments on three real datasets demonstrate that our method outperforms existing multi-interest recommendation models.
Effect of enclosing terpenoids-rich Boswellia Carterri ethyl acetate extract in binary cyclodextrin based oligomer nano-complex for improving its activity via counteracting ICAM-1, Ilβ4 and LTB4 pathways in respiratory distressed rats
Authors: Ibrahim Bassant M.M. , mohammed Asmaa Badawy , Taleb Sally Abou , Mourad Reda M. , Yassen Noha Nazeeh , Hessin Alyaa F. , Gad Shaimaa A. , Mohammed Mona A. 
Published: January 2024

Abstract

Boswellia carterii (BC) resins plants have a long historical background as a treatment for inflammation, as indicated by information originating from multiple countries. Twenty-seven diterpenoids have been identified in ethylacetate and total methanol BC, comprising seventeen boscartins of the cembrane-type diterpenoids and ten boscartols of the prenylaromadendrane-type diterpenoids. Moreover, twenty-one known triterpenoids have also been found, encompassing nine tirucallane-type, six ursane-type, four oleanane-type, and two lupane-type. The cembrane-type diterpenoids hold a significant position in pharmaceutical chemistry and related industries due to their captivating biological characteristics and promising pharmacological potentials. Extraction of BC, creation and assessment of nano sponges loaded with either B. Carterii plant extract or DEX, are the subjects of our current investigation. With the use of ultrasound-assisted synthesis, nano sponges were produced. The entrapment efficiency (EE%) of medications in Nano sponges was examined using spectrophotometry. Nano sponges were characterized using a number of methods. Within Nano sponges, the EE% of medicines varied between 98.52± 0.07 and 99.64± 1.40%. The nano sponges' particle sizes varied from 105.9±15.9 to 166.8±26.3 nm. Drugs released from Nano sponges using the Korsmeyer-Peppas concept. In respiratory distressed rats, the effects of BC plant extract, DEX salt and their nano formulations (D1, D5, P1 and P1), were tested. Treatment significantly reduced ICAM-1, LTB4, and ILβ4 levels and improved histopathologic profiles, when compared to the positive control group. Boswellia extract and its Nano sponge formulation P1 showed promising therapeutic effects. The effect of P1 may be due to synergism between both the extract and the formulation. This effect was achieved by blocking both ICAM-1 and LTB4 pathways, therefore counteracting the effects of talc powder.
Simulation and experimental study on micro grinding mechanism and machining morphology of ITO conductive glass
Authors: Sun Xingwei , Qiu Xiaolong , Liu Yin , Pan Fei , Chen Jiahao , Zhang Weifeng , Dong Zhixu , Yang Heran 
Published: January 2024

Abstract
The analysis of the grinding mechanism of ITO conductive glass is particularly important for revealing material damage and chip formation. This article proposes the removal mechanism of brittle thin film materials during grinding based on the indentation model. And based on the thin film composite structure of ITO conductive glass, a material model in finite element simulation was established. The surface morphology and chip state of ITO conductive glass were studied through microscale grinding experiments. By comparing the simulation results, it has been proven that the ITO film is removed in a brittle fracture mode during the grinding process, while the removal mode of the glass substrate is influenced by the process parameters. The interlayer fracture between the film and substrate will affect the processing quality.
Studying the effects of FDM process parameters on the mechanical properties of parts produced from PLA using response surface methodology
Authors: Afshari Hossein , Taher Fatemeh , Alavi Seyyed Amirhossein , Afshari Mahmoud , Samadi Mohammad Reza , Allahyari Fatemeh 
Published: January 2024

Abstract
Today, additive manufacturing methods have received attention in various fields due to simplicity of the process, high production speed, as well as good physical and mechanical characteristics of printed parts. In this research, the effect of parameters such as the stacking angle, infill extrusion width, layer thickness, and bed temperature on the tensile strength, tensile force, impact energy, and flexural strength of PLA printed samples was investigated. To achieve the relationship between the input and output variables as well as the optimal conditions of the process parameters, the response surface methodology and the desirability function technique were used. The results showed that the tensile strength, tensile force, impact energy and flexural strength can be improved at stacking angle of 13.5º, infill extrusion width of 145%, layer thickness of 0.2 mm and bed temperature of 110 º C. In addition, when the optimal conditions of the process parameters are applied, the tensile strength, tensile force, impact energy and flexural strength are improved to 38.43 MPa, 1.48 kN, 1.86 J and 32.36 MPa, respectively.
Parental Illness Shocks and Child Health in Bangladesh
Authors: Hossain Md Shahadath , Nazneen Shaila 
Published: January 2024

Abstract
This study examines the impact of parental illness on child health in rural Bangladesh. Using a set of health conditions that are as good as random, we find that parental illness has a significant negative effect on child height. Both Fathers’ and mothers’ illnesses exhibit equally detrimental effects. Exploring potential mechanisms, we find that parental illness induces financial distress, characterized by increased medical spending, diminished assets, and increased borrowing. Consequently, parents respond by substantially reducing resource allocation, manifested through decreased food intake and protein consumption. The findings of this study carry important policy implications, as mitigating the effects of parental illness could close 3.5% of the height gap between Bangladeshi children and the global average. (JEL D13, I12, I15, I25, J13, O12, O15)
MolexNet: Real-Time Recurrent-Based Object Removal and Enhancement Network
Authors: Wang Ruihan , Wang Guodong 
Published: January 2024

Abstract

In the contemporary realm of human portrait image segmentation tasks, achieving precise separation of foreground and background within intricate background and foreground edge scenarios poses a formidable challenge. In this study, we introduce a robust, efficient, and remarkably accurate image segmentation model named "MolexNet". In the domain of human portrait image segmentation, our model outperforms the majority of network architecture models in the field. What sets our model apart from conventional lightweight segmentation models is the clever fusion of features at different scales from the input image within the decoder. This enhancement significantly enhances processing speed while maintaining the quality of image segmentation, resulting in exceptional results for human portrait image segmentation tasks. We rigorously evaluate this model using various test datasets, and it consistently exhibits outstanding performance in both image and video segmentation tasks. It adeptly handles complex scenes and dynamic foreground elements, yielding satisfying segmentation results. Moreover, due to its ingenious design concepts, precise optimization strategies, and efficient model structure, our model maintains a high level of accuracy. We also conduct comparative analyses with other open-source architectures to underscore the superior performance and computational efficiency of our model. The model presented in this paper serves as a valuable reference and source of inspiration for research and practical applications in the field of image segmentation.
Relationship Between Schizophrenia and Sepsis : Evidence from two- sample mendelian randomization
Authors: Liu Songtao , Mao Lixia , Chen Yongxia , Deng Liehua 
Published: January 2024

Abstract

Background
Observational research in its early stages has identified a potential correlation between schizophrenia and an escalated risk of sepsis in patients.Inferring causal effects from observational studies is challenging due to the potential for confounding variables to influence any identified associations.Two sample Mendelian randomization(MR)is a method of evaluating causal relationships that utilizes genetic variation as an instrumental variable, which can reduce bias in traditional observational studies.
Method
We selected single nucleotide polymorphisms (SNPs) associated with schizophrenia and sepsis as instrumental variables from the Large GenomeAssociation Study(GWAS).Using two sample MR analysis,we evaluated theassociation between these SNPs and schizophrenia and sepsis to estimate the potentialcausal impact of schizophrenia on the risk of sepsis.
Result
Our study uncovered no genetic correlation between these two conditions. The MR analysis indicated minimal support for a causative link between schizophrenia and an increased risk of sepsis (OR = 1.00416, p = 0.837). Sensitivity analyses yielded consistent results, underscoring the causality's reliability. Additionally, we observed no heterogeneity or pleiotropic bias.
Conclusion
There is currently insufficient evidence to support a direct causalrelationship between sepsis and schizophrenia.
Trace Estimation for Graphs using Spectral Methods
Authors: Laeuchli Jesse 
Published: January 2024

Abstract
Estimating the trace of the pseudoinverse of a graph Laplacian is an important task in graph analytics since it can be used to discover the most important edges of a graph. Unfortunately, this value is typically expensive to compute directly. In this paper, we show how to compute an approximation to the trace of the pseudoinverse of a graph Laplacian for large graphs L, where direct computation would otherwise be infeasible, and purely statistical methods would converge only slowly. While previous methods have used the structure of the inverse of the matrix $L$ to improve convergence, the methods used to discover this structure do not work well on arbitrary or random graphs. We propose to use spectral methods to discover this structure. In order to accelerate these spectral approaches, we approximate the inverse through a Johnson-Lindenstrauss projection. Our results show significant improvement over previous approaches, especially when applied to graphs arising from social networks.
Evaluation of innate lymphoid cells and long-term cognition in a rat model of experimental sepsis
Authors: Catalão Carlos Henrique R. , Petronilho Fabricia , Dal-Pizzol Felipe , Pillai Anilkumar , Giridharan Vijayasree V. , Barichello Tatiana 
Published: January 2024

Abstract
Background
Sepsis is characterized as a critical condition involving life-threatening organ dysfunction stemming from an imbalanced host immune response to infections. Survivors of sepsis face an increased risk of post-hospital discharge mortality along with potential long-term cognitive and functional impairments. Recent research has uncovered the roles of innate lymphoid cells (ILCs) in the borders of the central nervous system (CNS), extending beyond their well-established functions in immune regulation and neuroinflammation. ILCs may play a pivotal role in the pathophysiology of sepsis, influencing immunity, inflammation, and brain barrier homeostasis. Here we investigated the role of subtypes ILC1, ILC2, and ILC3 on experimental sepsis-induced cognitive decline.
Methods
Adult male Wistar rats were submitted to sepsis by cecal ligation and perforation (CLP) surgery or sham (non-CLP) surgery as the control group. Ten days after sepsis induction, all the rats were submitted to a novel object recognition (NOR) task, a non-spatial, declarative memory known as recognition memory and were euthanized. The presence of ILCs was evaluated in the choroid plexus (CP), meninges, brain, spleen, and gut using multi-channel flow cytometry.
Results
We observed that Wistar rats recovered from sepsis showed deficits in recognition memory, with no discernible difference in the count of ILCs between the CLP and non-CLP groups. However, we found a significant difference between ILC subtypes in the meninges and CP in the CLP group.
Conclusions
This finding further reinforces the notion that sepsis survivors commonly experience cognitive deficits post-recovery. Additionally, it implies that the involvement of specific ILCs subtypes may be significant during the acute phase of sepsis pathophysiology, but their impact diminishes after the recovery period.