bluuebunny/crossref_metadata_2025_split huggingface dataset:
Propeller in Inclined Flow for Fast Craft
Authors: Ruggiero V. , Venturini G. 
Published: February 2023

The behavior of a propeller that operates in a uniform flow greatly inclined has been studied, in way to reach the optimization of design thing really important in case of planning craft where the shaft inclination is often considerable.
Before, the influence of inclined flow on the geometric attach angle has been investigated with the following variation of the profile lift coefficient, therefore, individuating the most important parameters in propeller design and their influence on its general characteristics.
Then, calculation method has been introduced to take into account of lift and drag variations along radius and circumference. This method permits, the calculation of thrust, and torque for every position to thrust resultant and the test to the most dangerous cavitation conditions.
In the end has been discussed the design of a propeller for a fast military planing hull in the light of the foregoing.
The influence of Propeller Skew on the Velocity Field and Tip Vortex Shape in the Slipstream of Propellers
Authors: Blaurock J. , Lammers G. 
Published: February 2023

In HSVA’s medium-sized cavitation tunnel, an LDV-service (Laser Doppler Velocimeter) was used to measure the three-dimensional flow field in the slipstream of different model propellers. Three propellers were investigated with the same main dimensions except for different skew.
The propellers were designed especially for this investigation. The skew angles were 0 degrees, 21 degrees and 62 degrees. Most measurements were done at a distance of 0.3 D behind the propellers at uniform inflow.
The Effect of Corporate Social Responsibility, Company Size and Company Age on the Financial Performance of Manufacturing Companies listed on the Indonesia Stock Exchange (IDX)
Authors: Adriansyah Muhammad Kevin , Purnomo Bely Yosi , Lestari Henny Setyo , Margaretha Farah 
Published: February 2023

Aims: This study aims to analyze the effect of Corporate Social Responsibility, company size, and company age on the company's financial performance. Financial performance in this study is focused on Return on Equity and Price to Book Value.
Study Design: Explanatory Research.
Place and Duration of Study: Indonesia between November 2022 to January 2023.
Methodology: The data used in this study are secondary data sourced from the annual reports of industrial sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2017-2021 period. The research sample was selected using the purposive sampling method so that 32 companies were sampled. The data used in this study uses social cost as the basis for calculating CSR, Ln Total Assets as a calculation of company size, the year the company was founded until the research was conducted as a calculation of company age and the DER ratio as a control variable. The data analysis used to test the hypothesis is regression analysis using the Eviews 12 program.
Results: The results showed that CSR significantly affects financial performance. The results also show that the company size variable significantly affects company performance. In addition, the results also show that the age of the company and the control variable debt to equity ratio has no significant effect on financial performance with ROE measurement but have a significant impact on PBV financial performance measurement.
Conclusion: Social activities carried out by the company can impact the company's financial performance, both positively and negatively. Similarly, the size of a company can contribute to its positive or negative financial performance of the company. But on the other hand, the company's age may or may not affect the company's financial performance, as well as the debt-to-equity ratio, which may or may not affect the company's financial performance.
A partial convolution generative adversarial network for lesion synthesis and enhanced liver tumor segmentation
Authors: Liu Yingao , Yang Fei , Yang Yidong 
Published: February 2023

AbstractLesion segmentation is critical for clinicians to accurately stage the disease and determine treatment strategy. Deep learning based automatic segmentation can improve both the segmentation efficiency and accuracy. However, training a robust deep learning segmentation model requires sufficient training examples with sufficient diversity in lesion location and lesion size. This study is to develop a deep learning framework for generation of synthetic lesions with various locations and sizes that can be included in the training dataset to enhance the lesion segmentation performance. The lesion synthesis network is a modified generative adversarial network (GAN). Specifically, we innovated a partial convolution strategy to construct a U‐Net‐like generator. The discriminator is designed using Wasserstein GAN with gradient penalty and spectral normalization. A mask generation method based on principal component analysis (PCA) was developed to model various lesion shapes. The generated masks are then converted into liver lesions through a lesion synthesis network. The lesion synthesis framework was evaluated for lesion textures, and the synthetic lesions were used to train a lesion segmentation network to further validate the effectiveness of the lesion synthesis framework. All the networks are trained and tested on the LITS public dataset. Our experiments demonstrate that the synthetic lesions generated by our approach have very similar distributions for the two parameters, GLCM‐energy and GLCM‐correlation. Including the synthetic lesions in the segmentation network improved the segmentation dice performance from 67.3% to 71.4%. Meanwhile, the precision and sensitivity for lesion segmentation were improved from 74.6% to 76.0% and 66.1% to 70.9%, respectively. The proposed lesion synthesis approach outperforms the other two existing approaches. Including the synthetic lesion data into the training dataset significantly improves the segmentation performance.
Circadian Disruption in Night Shift Work and Its Association with Chronic Pulmonary Diseases
Authors: Joshi Amey , Sundar Isaac Kirubakaran 
Published: February 2023

AbstractGlobalization and the expansion of essential services over continuous 24 h cycles have necessitated the adaptation of the human workforce to shift‐based schedules. Night shift work (NSW) causes a state of desynchrony between the internal circadian machinery and external environmental cues, which can impact inflammatory and metabolic pathways. The discovery of clock genes in the lung has shed light on potential mechanisms of circadian misalignment in chronic pulmonary disease. Here, the current knowledge of circadian clock disruption caused by NSW and its impact on lung inflammation and associated pathophysiology in chronic lung diseases, such as asthma, chronic obstructive pulmonary disease, pulmonary fibrosis, and COVID‐19, is reviewed. Furthermore, the limitations of the current understanding of circadian disruption and potential future chronotherapeutic advances are discussed.
Engineering Multifunctional Polyether Ether Ketone Implant: Mechanics‐Adaptability, Biominerialization, Immunoregulation, Anti‐Infection, Osteointegration, and Osteogenesis
Authors: Ma Hongyun , Han Hao , Zhao Xiaoming , Ma Junping , Qu Xiaoyan , Lou Xiaoxiao , Suonan Angxiu , Lei Bo , Zhang Yingang 
Published: February 2023

AbstractPolyether ether ketone (PEEK) has become one of the most promising polymer implants in bone orthopedics, due to the biocompatibility, good processability, and radiation resistance. However, the poor mechanics‐adaptability/osteointegration/osteogenesis/antiinfection limits the long‐term in vivo applications of PEEK implants. Herein, a multifunctional PEEK implant (PEEK‐PDA‐BGNs) is constructed through in situ surface deposition of polydopamine‐bioactive glass nanoparticles (PDA‐BGNs). PEEK‐PDA‐BGNs exhibit good performance on osteointegration and osteogenesis in vitro and in vivo, due to their multifunctional properties including mechanics‐adaptability, biominerialization, immunoregulation, anti‐infection, and osteoinductive activity. PEEK‐PDA‐BGNs can show the bone tissue‐adaptable mechanic surface and induce the rapid biomineralization (apatite formation) under a simulated body solution. Additionally, PEEK‐PDA‐BGNs can induce the M2 phenotype polarization of macrophages, reduce the expression of inflammatory factors, promote the osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs), and improve the osseointegration and osteogenesis ability of the PEEK implant. PEEK‐PDA‐BGNs also show good photothermal antibacterial activity and can kill 99% of Escherichia coli (E. coli) and Methicillin‐resistant Staphylococcus aureus (MRSA), suggesting their potential antiinfection ability. This work suggests that PDA‐BGNs coating is probably a facile strategy to construct multifunctional (biomineralization, antibacterial, immunoregulation) implants for bone tissue replacement.
Direct Synthesis of Ammonia from Nitrate on Amorphous Graphene with Near 100% Efficiency
Authors: Huang Libei , Cheng Le , Ma Tinghao , Zhang Jun‐Jie , Wu Haikun , Su Jianjun , Song Yun , Zhu He , Liu Qi , Zhu Minghui , Zeng Zhiyuan , He Qiyuan , Tse Man‐Kit , Yang Deng‐tao , Yakobson Boris I. , Tang Ben Zhong , Ren Yang , Ye Ruquan 
Published: February 2023

AbstractAmmonia is an indispensable commodity in the agricultural and pharmaceutical industries. Direct nitrate‐to‐ammonia electroreduction is a decentralized route yet challenged by competing side reactions. Most catalysts are metal‐based, and metal‐free catalysts with high nitrate‐to‐ammonia conversion activity are rarely reported. Herein, it is shown that amorphous graphene synthesized by laser induction and comprising strained and disordered pentagons, hexagons, and heptagons can electrocatalyze the eight‐electron reduction of NO3−to NH3with a Faradaic efficiency of ≈100% and an ammonia production rate of 2859 µg cm−2h−1at −0.93 V versus reversible hydrogen electrode. X‐ray pair‐distribution function analysis and electron microscopy reveal the unique molecular features of amorphous graphene that facilitate NO3−reduction. In situ Fourier transform infrared spectroscopy and theoretical calculations establish the critical role of these features in stabilizing the reaction intermediates via structural relaxation. The enhanced catalytic activity enables the implementation of flow electrolysis for the on‐demand synthesis and release of ammonia with >70% selectivity, resulting in significantly increased yields and survival rates when applied to plant cultivation. The results of this study show significant promise for remediating nitrate‐polluted water and completing the NOxcycle.
A Solution‐Mediated Pathway for the Growth of the Solid Electrolyte Interphase in Lithium‐Ion Batteries
Authors: Esmaeilpour Meysam , Jana Saibal , Li Hongjiao , Soleymanibrojeni Mohammad , Wenzel Wolfgang 
Published: February 2023

AbstractLithium‐ion batteries (LIBs) are a widely used battery technology. During the initial LIB cycle, a passivation layer, called the solid electrolyte interphase (SEI), forms on the anode surface, which plays a crucial role in the performance and long‐term cyclability of LIBs. The overall mesoscale mechanisms of SEI formation and its composition remain elusive both in experimental and computational approaches. Here a multiscale approach to comprehensively characterize the growth and composition of the SEI based on a chemistry‐specific reaction network is presented. Generating an ensemble of over 50 000 simulations representing different reaction conditions, it is found that the organic SEI forms and grows in a solution‐mediated pathway by aggregation of SEI precursors far away from the surface via a nucleation process. The subsequent rapid growth of these nuclei leads to the formation of a porous layer that eventually covers the surface. This finding offers a solution to the paradoxical situation that SEI constituents can form only near the surface, where electrons are available, but does not stop growing when this narrow region is covered. The study is able to identify the key reaction parameters that determine SEI thickness, which pave the way to optimize battery performance and lifetime.
Development of cyanate ester‐based shape memory composite reinforced by multi‐walled carbon nanotube modified with silicon dioxide
Authors: Li Zhihua , Guo Ziteng , Yang Yu 
Published: February 2023

AbstractCyanate ester‐based shape memory composites with superior mechanical properties and good shape memory performance are needed in the aerospace field. In this work, we utilized a simple sol–gel method to fabricate multi‐walled carbon nanotubes coated with silica (MWCNT@SiO2), which were used to construct a cyanate ester‐based shape memory composite (SMPC). The moisture resistance of SMPC was improved by the introduction of MWCNT@SiO2. MWCNT@SiO2 had an efficient enhancement effect on the mechanical strength and toughness of SMPC, and the SMPC exhibited the best mechanical properties with 0.9 wt% loading of MWCNT@SiO2, which was associated with the dispersion of MWCNT@SiO2 in the resin matrix. Compared to neat cyanate ester and epoxidized hydroxyl‐terminated polybutadiene resin matrix, it was found that the storage modulus of SMPC increased and the values of glass transition temperatures decreased by incorporation of MWCNT@SiO2. Meanwhile, the SMPC retained good shape memory performance, corresponding to high shape fixity ratio and shape recovery ratio (over 98% after 10 test cycles). The addition of MWCNT@SiO2 accelerated the shape memory progress of SMPC.
Banxia Xiexin decoction ameliorates dextran sulfate sodium (DSS)‐induced ulcerative colitis via inhibiting serine‐threonine protein kinase (Akt)/mitogen‐activated protein kinase (MAPK) signaling pathway
Authors: Ji Wanli , Liu Wangzhenzu , Huo Yan , Hu Cheng , Zhang Yifan 
Published: February 2023

AbstractBanxia Xiexin decoction (BXD), a traditional Chinese medicine, was widely used in treating ulcerative colitis (UC). However, the active components of BXD and its mechanism in UC remain elusive. Therefore, we used network pharmacology in vivo experiments, molecular docking, and surface plasmon resonance strategy (SPR) to uncover BXD's potential mechanism. A UC rat model was established by orally administering 7% dextran sulfate sodium (DSS) in drinking water, BXD and palmatine were orally administered for 7 days. Network pharmacology was used to investigate the main bioactive components and crucial targets of BXD in treating UC. Molecular docking was used to investigate interactions between components and crucial targets, verifying the results by SPR. By network pharmacology predicting, 20 active components and 44 candidate anti‐UC targets of BXD were identified, and the crucial proteins were screeded from PPI network, including extracellular regulated protein kinases (ERK), AKT1, and tumor necrosis factor‐α (TNF). In addition, some key active components (palmatine, sexangularetin, and skullcapflavone II) were screened out from the active components‐targets network. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment and in vivo experiments showed that protein‐serine‐threonine kinase (Akt)/MAPK pathway was involved in BXD treatment for UC; BXD and palmatine significantly ameliorated the severity of DSS‐induced UC in rats. Our study might assist in further investigation of the active components in Chinese medicine.
“Just add small molecules” cell‐free protein synthesis: CombiningDNAtemplate and cell extract preparation into a single fermentation
Authors: Smith Sydney A. , Lindgren Caleb M. , Ebbert Landon E. , Free Tyler J. , Nelson J. Andrew D. , Simonson Katelyn M. , Hunt J. Porter , Bundy Bradley C. 
Published: February 2023

AbstractCell‐free protein synthesis (CFPS) is a versatile biotechnology platform enabling a broad range of applications including clinical diagnostics, large‐scale production of officinal therapeutics, small‐scale on‐demand production of personal magistral therapeutics, and exploratory research. The shelf stability and scalability of CFPS systems also have the potential to overcome cost and infrastructure challenges for distributing and using essential medical tests at home in both high‐ and low‐income countries. However, CFPS systems are often more time‐consuming and expensive to prepare than traditional in vivo systems, limiting their broader use. Much work has been done to lower CFPS costs by optimizing cell extract preparation, small molecule reagent recipes, and DNA template preparation. In order to further reduce reagent cost and preparation time, this work presents a CFPS system that does not require separately purified DNA template. Instead, a DNA plasmid encoding the recombinant protein is transformed into the cells used to make the extract, and the extract preparation process is modified to allow enough DNA to withstand homogenization‐induced shearing. The finished extract contains sufficient levels of intact DNA plasmid for the CFPS system to operate. For a 10 mL scale CFPS system expressing recombinant sfGFP protein for a biosensor, this new system reduces reagent cost by more than half. This system is applied to a proof‐of‐concept glutamine sensor compatible with smartphone quantification to demonstrate its viability for further cost reduction and use in low‐resource settings.
Palbociclib (PD 0332991) Interaction with Kinases. Theoretical and Comparative Molecular Docking Study
Authors: Aceves‐Hernández Juan M. , Inés Nicolás Vázquez María , Luis Garza Rivera José , Espinoza Godínez Angélica , Mateo Flores Juan , de Jesús Cruz Guzmán José , Castaño Víctor M. 
Published: February 2023

AbstractThe optimized geometry of palbociclib, (PD 0332991) (8‐cyclopentyl‐6‐ethanoyl‐5‐methyl‐2‐(5‐(piperazin‐1‐yl)pyridin‐2‐ylamino)pyrido[2,3‐d]pyrimidin‐7(8H)‐one), electrostatic potential map, molecular orbitals were calculated using the density functional theory. The geometry was used in a molecular docking study of palbociclib‐kinase complexes, results could be explained by the charge of the nitrogen and oxygen atoms within the palbociclib. Energy gap of HOMO‐LUMO surfaces, could help to explain the reactivity of the ligand and the hydrogen bonding with three different kinases, two of CDK6 and one of CDK4 type. Docking results are similar and complementary with literature reports using molecular dynamics, were hydrogen bonding was obtained and analyzed. The promiscuity of three kinases with palbociclib was detected by the docking results, thus, palbociclib could be used in other types of cancer besides myeloid leukemia. Some similarities are found with CDK4/CDK6 kinases which allow us to determine that palbociclib could be used to control other resistant inhibitor types of cancer.
Identification of Four New Chemical Series of Small Drug‐Like Natural Products as Potential Neuropilin‐1 Inhibitors by Structure‐Based Virtual Screening: Pharmacophore‐Based Molecular Docking and Dynamics Simulation
Authors: Sabki Abdellah , Khelifi Lakhdar , Kameli Abdelkrim , Baali Salim 
Published: February 2023

AbstractNeuropilin‐1 (NRP‐1), a surface transmembrane glycoprotein, is one of the most important co‐receptors of VEGF‐A165 (vascular endothelial growth factor) responsible for pathological angiogenesis. In general, NRP‐1 overexpression in cancer correlates with poor prognosis and more tumor aggressiveness. NRP‐1 role in cancer has been mainly explained by mediating VEGF‐A165‐induced effects on tumor angiogenesis. NRP‐1 was recently identified as a co‐receptor and an independent gateway for SARS‐CoV‐2 through binding subunit S2 of Spike protein in the same way as VEGF‐A165. Thus, NRP‐1 is of particular value as a target for cancer therapy and other angiogenesis‐dependent diseases as well as for SARS‐CoV‐2 antiviral intervention. Herein, The Super Natural II, the largest available database of natural products (∼0.33 M), pre‐filtered with drug‐likeness criteria (absorption, distribution, metabolism and excretion/toxicity), was screened against NRP‐1. NRP‐1/VEGF‐A165 interaction is one of protein‐protein interfaces (PPIs) known to be challenging when approached in‐silico. Thus, a PPI‐suited multi‐step virtual screening protocol, incorporating a derived pharmacophore with molecular docking and followed by MD (molecular dynamics) simulation, was designed. Two stages of pharmacophorically constrained molecular docking (standard and extra precisions), a mixed Torsional/Low‐mode conformational search and MM‐GBSA ΔG binding affinities calculation, resulted in the selection of 100 hits. These 100 hits were subjected to 20 ns MD simulation, that was extended to 100 ns for top hits (20) and followed by post‐dynamics analysis (atomic ligand‐protein contacts, RMSD, RMSF, MM‐GBSA ΔG, Rg, SASA and H‐bonds). Post‐MD analysis showed that 19 small drug‐like nonpeptide natural molecules, grouped in four chemical scaffolds (purine, thiazole, tetrahydropyrimidine and dihydroxyphenyl), well verified the derived pharmacophore and formed stable and compact complexes with NRP‐1. The discovered molecules are promising and can serve as a base for further development of new NRP‐1 inhibitors.
Benefits of mechanical aspiration of pulmonary artery thrombi regardless of clot location
Authors: Bowers Terry R. , Goldstein James A. 
Published: February 2023

Key Points
Proximal pulmonary embolism reduces trans‐pulmonary flow and induces RV Strain which induces hemodynamic compromise
Aspiration Thrombectomy improves pulmonary flow by reducing pulmonary vascular resistance and relieving RV Strain
Mechanical aspiration of proximal pulmonary artery clot is beneficial for both main and branch thrombi
Radix+: High‐throughput georeferencing and data ingestion over voluminous and fast‐evolving phenotyping sensor data
Authors: Mitra Saptashwa , Roselius Maxwell , Andrade‐Sanchez Pedro , McKay John K. , Pallickara Sangmi Lee 
Published: February 2023

SummaryRemote sensing of plant traits and their environment facilitates non‐invasive, high‐throughput monitoring of the plant's physiological characteristics. However, voluminous observational data generated by such autonomous sensor networks overwhelms scientific users when they have to analyze the data. In order to provide a scalable and effective analysis environment, there is a need for storage and analytics that support high‐throughput data ingestion while preserving spatiotemporal and sensor‐specific characteristics. Also, the framework should enable modelers and scientists to run their analytics while coping with the fast and continuously evolving nature of the dataset. In this paper, we presentRadix+, a high‐throughput distributed data storage system for supporting scalable georeferencing, and interactive query‐based spatiotemporal analytics with trackable data integrity. We include empirical evaluations performed on a commodity machine cluster with up to 1 TB of data. Our benchmarks demonstrate subsecond latency for majority of our evaluated queries and improvement in data ingestion rate over systems such as Geomesa.