bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Novel Necroptosis and Immune Infiltration in the Progression of Idiopathic Pulmonary Fibrosis
Authors: Fan Hongbo , Luo Lin 
Published: March 2023

Abstract
Objective
To ascertain the function of necroptosis in IPF (idiopathic pulmonary fibrosis) using bioinformatic techniques.
Methods
GSE10667 and GSE24206 datasets were obtained from the Gene Expression Omnibus (GEO) database. Necroptosis-related differentially expressed genes (NRDEGs) were identified based on the differentially expressed gene (DEG) and necroptosis gene collection. The gene enrichment signaling pathways in IPF were assessed using gene set enrichment analysis (GSEA). Protein-protein interaction (PPI) networks were created and visualized using the STRING database and Cytoscape, which also identified essential NRDEG functional components. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were used for pathway enrichment analyses of NRDEGs. The necroptosis-related transcription factor-target gene regulatory network was built using the CellMiner database, and immune infiltration patterns were examined using the CIBERSORTx algorithm. Results: IPF samples showed significant enrichment and activation of the necroptosis pathway. PEL1, MEFV, and SERTAD1 were among the 44 NRDEGs identified.Hub genes were abundant in the IL-17 signaling pathway, RIG-I-like receptor signaling pathway, and apoptosis, and the NRDEGs were largely involved in endopeptidase activity and ficolin-1-rich granules. Twenty-two possible immune cells, including neutrophils, NK cells, CD4, and CD8, were elevated in both datasets.
Conclusion
We found differential genes related to IPF necroptosis and various immune cell infiltrates, among which CHL1, EGFR, and KRT14, and NRDEG-related drugs and compounds might provide new targets for treatment of IPF.
Establishment of a weighted injury criterion for evaluation of multiple types of head severe injuries for vulnerable road users
Authors: Han Yong , Wu He , Yang Hao , Shi Liangliang , Su Liang , Pan Di , Wang Fang , Huang Hongwu 
Published: March 2023

Abstract
In traffic accidents, multiple head injury types often occur simultaneously and cause severe brain injury for vulnerable road users (VRUs). In this study, a head-weighted injury criterion was developed to assess the risk of severe brain injury considering various injury types. Firstly, 50 in-depth accidents were reconstructed using a high-precision reconstruction method to reconstruct the overall kinematic response and head injury severity of VRUs and analyze the correlation between various head injury criteria and severe brain injury. Then, four injury criteria were selected that correlated well with severe brain injury, namely HIC15, angular acceleration, coup pressure, and maximum principal strain (MPS). Finally, weighted head injury criteria (WIC4) of severe injuries were established based on the four selected injury criteria, and the correlation between WIC4 and severe brain injury was validated based on the area under of receiver operating characteristic curve (AUROC) and the reconstructed results of another 10 selected accidents. The results showed that WIC4 had a good predictive capability for both severe and non-severe brain injury cases, and the AUROC was 0.983, which was significantly higher than that of the single head injury criterion. This study further improved the correlation between head injury criteria and severe brain injury.
Discontinuation of loop diuretics in older patients with chronic stable heart failure – A narrative review
Authors: Okoye Chukwuma , Mazzarone Tessa , Cargiolli Cristina , Guarino Daniela 
Published: March 2023

Abstract
Loop diuretics (LD) represent the cornerstone treatment for relieving pulmonary congestion in patients with heart failure (HF). Their benefit is well-recognized in the short term because of their ability to eliminate fluid retention. However, long-term, they could adversely influence prognosis due to activation of the neurohumoral mechanism, particularly in older, frail patients. Moreover, the advent of new drugs capable of improving outcomes and reducing pulmonary and systemic congestion signs in HF emphasizes the possibility of a progressive reduction and discontinuation of loop diuretics treatment. Nevertheless, few studies aimed at investigating the safety of loop diuretics withdrawal in patients with chronic stable HF in older patients. The current review aims to approach current evidence regarding the safety and effectiveness of furosemide discontinuation in patients with chronic stable HF. This review is based on the material obtained via PubMed database and Scopus from January 2000 to November 2022. Our search yielded five relevant studies, including two RCTs. All the participants presented stable HF at the time of the study enrolment. Apart from one study, all the investigations were carried out in patients with HF with reduced Ejection Fraction. The most common outcomes examined were the need for diuretic resumption or the event of death and rehospitalization after diuretic withdrawal. As a whole, although based on a few investigations with a low grade of evidence, diuretic therapy discontinuation might be a safe strategy that deserves consideration for patients with stable HF. However, extensive investigations on older adults accounting for frailty status are warranted to confirm these data in this peculiar class of patients.
Functionality of chimeric TssA proteins in the type VI secretion system involves sheath docking specificty
Authors: Fecht Selina , Paracuellos Patricia , Ilangovan Aravindan , Costa Tiago , Filloux Alain 
Published: March 2023

Abstract

Pseudomonas aeruginosa encodes three type VI secretion systems, each comprising a dozen distinct proteins, which deliver toxins upon T6SS sheath contraction. The least conserved T6SS component, TssA, has variations in size (short: TssA1 and TssA3, long: TssA2) which influence domain organisation and structure. Here we show that the TssA Nt1 domain interacts directly with the sheath in a specific manner, while the C-terminus is essential for oligomerisation. We built chimeric TssA proteins by swapping C-termini and showed that these can be functional even when made of domains from different TssA sub-groups. Functional specificity requires the Nt1 domain, while the origin of the C-terminal domain is more permissive for T6SS function. We identify two regions, loop and hairpin, that contribute to sheath binding. We propose a docking mechanism of TssA proteins with the sheath, and a model for how sheath assembly is coordinated by TssA proteins from this position.
Biochemical changes in embryogenic and non-embryogenic callus of Bambusa nutans Wall. during somatic embryogenesis
Authors: Faisal Mohammad , Rajput Deependra S , Rathore Triloki S , Ansari Shamim Akhtar , Alatar Abdulrahman A. , Shahzad Anwar 
Published: March 2023

Abstract
Bambusa nutans Wall. is a clump-forming, evergreen bamboo species that is most often found in Southeast Asian forests. Comparative activities of nitrate reductase (NR), glutamine synthetase (GS) and peroxidase (POX) as well as expression of peroxidase isozymes during somatic embryogenesis (SE) were investigated in the segregated embryogenic callus (EC) and non-embryogenic callus (NEC) from the same genotype (CPC-648) of B. nutans Wall. The EC was compact, with large prominent nuclei and dense cytoplasm, while the NEC was fragile, with rudimentary nuclei and hyaline cytoplasm. SE in EC encompassed induction, maturation and germination stages each of 30 days on MS medium supplemented with ascorbic acid 50mg/l, citric acid 25mg/l, cysteine 25mg/l and glutamine 100mg/l + 2, 4-D-2 mg/l + coconut water 10%. EC exhibited dedifferentiation and growth leading to SE, while NEC remained amorphous loose lump throughout. EC had lower NR and POX activities and less number of peroxidase isozymes but higher GS activity than NEC during three stages of SE. NR activity followed a trend as induction > germination > maturation (EC and NEC); GS activity, maturation > germination >induction (EC) and induction >germination >maturation (NEC) and POX activity, maturation > induction > germination (EC) and induction > germination > maturation (NEC). Compared to NEC, EC exhibited less peroxidase isozymes. SE is an epigenetically regulated process that leads to the expression of enzymes involved in primary metabolism in EC and secondary metabolism in NEC. GS activity corresponding to SE process may be developed as biochemical marker. A chaotic scenario, rather from being a marker of SE, is indicated by high levels of peroxidase activity and isozyme expression.
The role of curcumin in the modulation of the differential effects of fructose and high-fat diet on kidney injury, inflammation, fibrosis, and lipid metabolism
Authors: Meléndez-Salcido Cecilia Gabriela , Ramírez-Emiliano Joel , García-Ramírez Juana Rosalba , Pérez-Vázquez Victoriano 
Published: March 2023

Abstract
Background: Dyslipidemia and obesity hypercaloric diet-induced lead to kidney damage. We investigated the effect of curcumin on the expression of proteins related to inflammation, fibrosis, fatty acids metabolism, kidney damage, and morphological changes in the kidney of mice hypercaloric diets-fed.
Methods: Groups of 5-week-old C57BL/6 mice (n=6) were formed: Control (C), High-fructose diet (F), High-fructose diet and curcumin (F+Cur), High-fat diet (HFD), High-fat diet and curcumin (HFD+Cur), High-fat diet and fructose (HFD+F), High-fat diet, fructose and curcumin (HFD+F+Cur), treated for 16 weeks with 30% (w/v) fructose, 60% (w/w) fat and 0.75% (w/w) curcumin. Kidneys were obtained for histomorphological and Western Blot analysis.
Results: Curcumin prevented TNF-α overexpression in the F and HFD+F groups. VLCAD expression was higher in the F, HFD, and HFD+F groups. PPARγ expression was lower in the F+Cur, HFD+Cur, and HFD+F+Cur groups. Curcumin prevented overexpression of CPT1 and KIM1 in the HFD+F and HFD groups. Curcumin prevented morphological lesions, fibrosis, and lipid deposition hypercaloric diet-induced.
Conclusion: Chronic consumption of hypercaloric diets causes inflammation, fibrosis, and lipid deposition in the kidney. It is suggested that curcumin differentially modulates kidney injury as a function of the damage induced by the high-fat/high-fructose diet.
Metal-Organic Framework Mediated Ni-deposition on MWCNTs for Direct Methanol Fuel Cell Catalysis
Authors: Shams-Eldin Reham , Ali Aya , Hani Amal , Haikal Rana R. , Fahmy Hussein M. , Nashar Rasha M. El , Alkordi Mohamed H. 
Published: March 2023

Abstract
Herein, we present the utilization of Ni2+-doped amine-functionalized UiO-66-NH2 metal-organic framework (MOF) nanoparticles deposited onto multi-walled carbon nanotubes (MWCNTs) as a precursor for electrocatalytically active catalyst towards methanol (MeOH) oxidation. The electrode material displayed an onset potential of 0.42 V (vs Hg/HgO) with maximum activity at 1 M MeOH concentration (143 mA.cm− 2 current density at 0.6 V vs Hg/HgO). The catalyst also demonstrated adequate stability, where 93.5% of its current density was retained after performing chronoamperometry for 1 hr.
BRIKT: Bi-embedding with rich information and individualized weights for knowledge tracing
Authors: Chen Zhiyu , Shan Zhilong , Zeng Yanhua 
Published: March 2023

Abstract
Knowledge tracing is a sequential learning task that predicts students' prospective performance given their historical interactions. Most previous approaches use skills as model inputs, ignoring the potential information of problems and skills. They also disregard the diversity of problems' difficulty and other side information provided by educational platforms. Students may forget during the learning process, leading to poor performance. In this paper, we present a novel model, BRIKT: bi-embedding with rich information and individualized weights for knowledge tracing. To capture potential information, BRIKT obtains both problem embedding and skill embedding via light graph convolutional network. The whole input embeddings are then ensembled using a combination of difficulty and other side information. Furthermore, we employ individualized attention weights to estimate students' knowledge states by distinguishing the impact of historical problems on current prediction. In the experiments, we compare BRIKT against seven knowledge tracing baselines on three real-world benchmark datasets, demonstrating the superiority of the proposed model.
Intrahepatic sarcomatoid cholangiocarcinoma with portal vein thrombus misdiagnosed as hepatocellular carcinoma: description of a rare case
Authors: Zhan Ting , Xing Shan-Shan , Lu Chun-Hua 
Published: March 2023

Abstract
Less than 1% of malignant tumors of the hepatobiliary system are intrahepatic sarcomatoid cholangiocarcinomas, a rare malignant tumor of the liver. Based only on clinical presentation and imaging, this entity is readily mistaken for hepatocellular carcinoma. In this article, we describe the case of a 36-year-old male patient who had a history of "cirrhosis B" and was hospitalized for six months due to increased alpha-fetoprotein. Magnetic resonance imaging (MRI) and computed tomography (CT) revealed a 63x 90 mm mass in segments V and VI of the liver, with thrombosis in the right branch of the portal vein. Following the patient's laparoscopic lobectomy and cholecystectomy, sarcomatoid cholangiocarcinoma of the right side of the liver was discovered by histopathological and immunohistochemical examinations. This case report seeks to increase understanding of intrahepatic sarcomatoid cholangiocarcinoma and its diagnosis while reducing the occurrence of clinical misinterpretation.
A multi-stage feature fusion defogging network based on the attention mechanism
Authors: Song Yuqin , Zhao Jitao , Shang Chunliang 
Published: March 2023

Abstract
This study suggests an effective multi-stage feature fusion defogging network based on an attention mechanism for the problem of problematic defogging and picture color distortion in complicated surroundings with hazy images. To create a multi-branch defogging network, the model integrates several attention techniques to create various sorts of branching network architectures. The image's spatial details and contextual information are supplemented and merged based on the recovered image feature information of different network branches to increase the effectiveness of the network model. The stage attention fusion mechanism created among several network branches can lessen the loss of image data during feature extraction and improve the effectiveness of the image-defogging operation. The experimental results demonstrate that the proposed algorithm has superior defogging performance in both synthetic and real-world scene datasets and performs more admirably in terms of accuracy compared to other sophisticated algorithms, particularly in the Reside and O-Haze datasets. The PSNR metrics on the Reside and O-Haze datasets are improved by 1.58 dB and 1.61 dB, respectively, compared to the best-advanced technique suggested in this study, and the SSIM metrics on the O-Haze dataset are improved by 3.4%.
In vitroantifungal activity of polymeric nanoparticles loaded with the methanolic extract of Euphorbia tirucalli
Authors: Heya Michel Stéphane , -Star Maria Julia verde , Rivas-Morales Catalina , García-Hernández David Gilberto , Robledo-Leal Efrén , Galindo-Rodríguez Sergio Arturo 
Published: March 2023

Abstract
The therapeutic potential of medicinal plants is known as an alternative in treatment of human affections; in effect, the conventional application of these medicinal sources has several limitations like low bioavailability, solubility, and stability, which affect its pharmacological efficacy. In recent decades, extraordinary advances have been made in new drug delivery systems using nanocarriers. This work consisted in determining the in vitro antifungal activity of the methanolic extract of Euphorbia tirucalli formulated in polymeric nanoparticles. The antifungal activity was determined by the microdilution method in 96-well microplates, applying nanoparticles loaded with plant extract (NP-Ext) obtained by nanoprecipitation on clinical isolates of Trichophyton rubrum and T. interdigitalis. Regarding the nanoparticles, the lots used did not present significant differences in their physicochemical characteristics, with a size of 91.885 ± 1.621nm, polydispersity index of 0.152 ± 0.025 and Z-potential of -6.047 ± 0.987. The quantification of the extract in the polymeric matrix was determined by infrared spectroscopy (FT/IR), where an efficiency and encapsulation percentage of 22.15 ± 0.82 and 2.95 ± 0.11, respectively, were obtained. The in vitro antifungal activity of the crude and formulated extract was obtained calculating the Minimum Inhibitory Concentration (MIC) of each one; a MIC of 125 µg/mL was obtained against T. rubrum and T. interdigitaliswith the crude extract, while a MIC value of 55.55 and 0.1 µg/mL was obtained with NP-Ext, respectively, against these same. Conclusions: biological activity is closely linked to the phytochemical profile of the extract; while the improvement of said potential with the NP-Ext with the dosage form was directly related to the physicochemical characteristics of the nanocarrier.
The manufacturing technique and principles for determining bearing capacity of piles
Authors: Aslanov Latif F. 
Published: March 2023

Abstract
Large section bored piles are widely used in the various kinds of buildings. In the present article the manufacturing technique and principles for determining the bearing capacity of large section bored piles with a “hard core” were considered. Technological parameters of large section bored piles with a “hard core” are given in manufacturing in urban area hear existing buildings, and structures and also in the construction of offshore structures. The data on determination of bearing capacity of single bored piles with a “hard core” are discussed. It was established that these piles bear much larger horizontal and vertical loads, and are the most cost effective than precast and bored piles.
Research on intelligent vehicle path tracking control based on preview distance optimization
Authors: Ye Qing , Huang Rang , Zhang Yao , Wang Ruochen , Chadli M. , Chen Long 
Published: March 2023

Abstract
This paper proposes an intelligent vehicle lateral-vertical cooperative control method based on optimized preview distance to address the coupling and conflict issues between the path tracking system and the handling stability in the process of controlling the motion of intelligent vehicles. To begin with, an intelligent vehicle path tracking control system based on expected yaw velocity has been designed by establishing a three-degree-of-freedom dynamic model for intelligent vehicles. Then, we analyzed the mechanism by which changes in vehicle speed, road curvature, and preview distance affect the accuracy of vehicle path tracking and handling stability. Considering the "human-vehicle-road" system in intelligent transportation systems, critical values for collision and instability were set. Furthermore, we designed a proactive optimization method for preview distance under different working conditions, using an optimization algorithm to improve path tracking accuracy while ensuring vehicle stability, based on the lateral displacement deviation and lateral lateral orientation deviation representing the accuracy of path tracking, as well as the lateral acceleration representing handling stability. Finally, HIL platform test was conducted. The simulation and test results show that the optimized path tracking algorithm reduces lateral deviation to as low as 0.05 meters, and the stability constraint control in the algorithm can be triggered promptly even under extreme conditions. The research findings provide a theoretical reference for the lateral and vertical coordinated control of intelligent vehicles in the future.
Enhanced Collaborative Filtering Recommendation Model for Graph Neural Networks Based on Meta-Paths
Authors: Fischer Benjamin , Brown Ethan , Perez Maria , Sanchez Andrew 
Published: March 2023

Abstract
With the development of web information technology, recommendation systems are widely used in social media networks, news delivery, and shopping platforms. Collaborative filtering (CF) is one of the main methods in recommendation systems. In recent years, the graph convolutional neural network (GCN) has emerged as the hottest research method in the current recommendation system due to its powerful ability to learn embedding representations on graph structures. Although graph convolutional neural networks have been recognized as having significant advantages in recommendation tasks, the proposed GCN-based recommendation models have generally neglected two aspects. The graph convolution layer of most models does not take full advantage of the covariance signals of higher order neighbors. For example, GCMC only uses the signal update node inlay of the 1st order neighborhood. The graph convolution layer of existing models pays little attention to the impact of different user opinions on the recommendation results when propagating and aggregating synergistic signals. In the recommendation scenario, the rating represents the user's opinion. To address these problems, this paper proposes an enhanced collaborative filtering algorithm for graph neural networks based on meta-paths (MPECFG). The study exploits the synergistic signals of 2nd order neighbors and user's view to improve the accuracy of graph convolutional neural networks in learning node embedding. In particular, we first construct bipartite graphs of users and items, embed their historical interactions into feature vectors, and then obtain higher-order representations of users and items by multi-layer propagation of the neural network. We experimented on public datasets and compared them with traditional algorithms to verify the effectiveness of our model.
Manning's roughness coefficient in a truncated triangular open-channel flow section
Authors: Sabah Sehtal , Bachir Achour 
Published: March 2023

Abstract
In uniform flows, Manning's roughness coefficient n plays an important role in the calculation of the normal depth in the open channels. When calculating uniform flows in open conduits and channels, Manning's coefficient is arbitrarily chosen. This arbitrary choice is not physically justified because the coefficient n must be determined according to the parameters that influence the flow, particularly the normal depth sought. In this paper, a new method is presented to compute Manning's coefficient in a truncated triangular channel section. In the first step, the study proposes to establish the general relationship that allows computing Manning's coefficient in this type of channel. The relationship is presented in dimensionless terms, giving it a character of general validity, including the dimensionless Manning's resistance coefficient, denoted as N. The latter is shown to depend on the aspect ratio of the wetted area, the side slope of the channel, the relative roughness and the modified Reynolds number, which is physically justified since flow resistance is closely related to flow depth. In the second step, the rough model method is proposed to express Manning's coefficient when the horizontal dimension of the channel is not a given data of the problem.