bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tumor microenvironment-responsive metal nanotherapeutics for breast cancer chemo-/immunotherapy
Authors: Liu Jinggong , Li Wenying , Lin Yongpeng , Peng Yongjun , Zhan Meixiao , Lai Haoqiang , Chang Yanzhou , Li Yongjin , Wong Ka-hing , Chen Bolai , Chen Tianfeng 
Published: April 2023

AbstractMany metal complexes not only had excellent cytotoxic antitumor effects but also could function as a positive immunomodulatory to improve antitumor effects by modifying the local tumor microenvironment. Herein, a dual-target nanotherapeutics (MP3/ACPP/AE105@NPs) with uPAR targeting and tumor microenvironment-responsive ability was developed by using AE105 as the targeting ligand and ACPP as the tumor microenvironment-responsive peptide to locate the metal complex to cells. Assisted by the surface modification, MP3/ACPP/AE105@NPs demonstrated excellent cellular uptake of the drugs in in vitro experiments, thereby enhancing the therapeutic utility of the loaded metal complex. The nanotherapeutics induced the excessive ROS generation by inhibiting the activity of TrxR and modulated those proteins which were related to metastasis through inhibiting ERK/AKT activation mediated by FAK in MDA-MB-231 cells. This nanotherapeutics could also significantly improve the therapeutic benefits in vivo accompanied by reduced toxic side effects. Importantly, MP3/ACPP/AE105@NPs treatment stimulated immunotherapeutic response, which was indicated by the activation of tumor-infiltrated cytotoxic T cells, and improved the maturation of dendritic cells (DCs), and the proliferation-inhibitory effect of tumor-associated M2 macrophages. Taken together, the results suggested that this dual-targeted nanotherapeutics offered new opportunities for boosting the synergistic treatment of breast cancer with chemotherapy and immunotherapy.
High expression of RNF31 is associated with tumor immune cell infiltration and leads to poor prognosis in liver hepatocellular carcinoma
Authors: Xi Guifu , Cheng Runfen , Liang Leiting , Che Na , Wang Yalei , Zhao Nan , Liang Xiaohui , Shao Bing , Zhao Xiulan , Zhang Danfang 
Published: April 2023

AbstractRing finger protein 31 (RNF31) has been found to play an important role in tumor immunity. However, the role of RNF31 in liver hepatocellular carcinoma (LIHC) has not been reported. Therefore, we investigated the expression and prognostic value of RNF31 in patients with LIHC and explored its relationship with immune cell infiltration. The Cancer Genome Atlas liver hepatocellular carcinoma (TCGA-LIHC) dataset was downloaded to analyse the impact of RNF31 on the prognosis and immune cell infiltration of LIHC. The Tumor Immune Estimation Resource (TIMER) database was used to analyse the correlation between RNF31 and tumor immune cell infiltration in LIHC. Additionally, we analysed the relationship between RNF31 and tumor necrosis factor (TNF) as well as the interferon-gamma (IFN-γ) signaling pathway. The expression of RNF31 in LIHC was significantly higher than that in normal tissues. Increased RNF31 expression was associated with decreased overall survival (OS) and relapse-free survival (RFS). An increase in RNF31 expression was closely related to the infiltration levels of immune cells (e.g., natural killer (NK) cells, CD8 + T cells, and B cells). RNF31 was also positively correlated with the expression of immune checkpoint genes in LIHC. Moreover, RNF31 may participate in TNF and IFN-γ signaling pathways. In conclusion, RNF31 is a potentially valuable prognostic biomarker in LIHC. RNF31 is also associated with immune cell infiltration in LIHC. RNF31 may be a potential target for immunotherapy of LIHC.
Ancient DNA suggests anaemia and low bone mineral density as the cause for porotic hyperostosis in ancient individuals
Authors: Ferrando-Bernal Manuel 
Published: April 2023

AbstractPorotic hyperostosis (PH) is a disease that had high prevalence during the Neolithic. Several hypotheses have been suggested to explain the origin of the disease, such as an iron deficiency diet, low B12 intake, malaria caused byPlasmodiumspp., low haemoglobin levels or low vitamin D levels. None of these hypotheses have been tested genetically. Here, I calculated different genetic scores to test each hypothesis. Additionally, I calculated a genetic score of bone mineral density as it is a phenotype that seems to be selected in ancient Europeans. I apply these genetic scores on 80 ancient samples, 33 with diagnosed PH. The results seem to suggest anaemia and low bone mineral density as the main cause for this disease. Additionally, Neolithic individuals show the lowest genetic risk score for bone mineral density of all other periods tested here, which may explain the highest prevalence of the porotic hyperostosis during this age.
Simulation of the water-based hybrid nanofluids flow through a porous cavity for the applications of the heat transfer
Authors: Gul Taza , Nasir Saleem , Berrouk Abdallah S. , Raizah Zehba , Alghamdi Wajdi , Ali Ishtiaq , Bariq Abdul 
Published: April 2023

AbstractThis study looks at the natural convections of Cu + Al2O3/H2O nanofluid into a permeable chamber. The magnetic field is also executed on the flow field and the analysis has been approached numerically by the control volume method. The study of hybrid nanofluid heat in terms of the transfer flux was supplemented with a wide range of parameters of hybrid nanofluid fractions, Rayleigh numbers Hartmann numbers and porosity factor. It's also determined that the flow and thermal distribution are heavily affected by the concentration of the nanoparticles. The concentration of nanoparticles increases the transport of convective energy inside the enclosure. The primary findings demonstrate that a rise in both the Rayleigh number and Darcy number leads to an improvement in convective heat transfer within the enclosure. However, the porosity has a negligible effect. Additionally, the rotation in a clockwise direction has a beneficial impact on the dispersion of heat transfer throughout the cavity. Furthermore, it is concluded that hybrid nanofluids are more reliable than conventional fluids in improving thermal properties.
Surgical starting time of the day and survival in gastric cancer
Authors: Gao Yunhe , Xi Hongqing , Mattsson Fredrik , Liang Wenquan , Xie Shao-Hua , Chen Lin , Lagergren Jesper 
Published: April 2023

AbstractPrevious studies indicate differences in short-term postoperative outcomes depending on the surgical starting time of the day, but long-term data are lacking. The aim of this study was to clarify if surgical starting time of the day influences long-term survival in gastric cancer patients. This cohort study consecutively included 2728 patients who underwent curatively intended gastrectomy for gastric cancer in 2011–2015 at a high-volume hospital in China, with follow-up until June 2019. Cox regression provided hazard ratios (HRs) with 95% confidence intervals (CIs) for 3-year all-cause mortality, adjusted for age, sex, health insurance, pathological tumor stage, surgical approach, neoadjuvant therapy, and weekday of surgery. Compared with patients with early starting time of gastrectomy (08:00–09:29), the point estimates for 3-year all-cause mortality were modestly increased in patients with a starting time in the middle of day (09:30–13:29; HR 1.15, 95% CI 0.97 to 1.37) and later (13:30–21:25; HR 1.10, 0.91 to 1.32). The corresponding HRs were increased particularly in patients who underwent laparoscopic gastrectomy (HR 1.54, 1.10 to 2.14 and HR 1.59, 1.12 to 2.25, respectively) and in those with stage II tumors (HR 1.74, 1.11 to 2.73 and HR 1.60, 1.00 to 2.58, respectively). Our study indicated that in patients who underwent laparoscopic gastrectomy and in those who with stage II tumors, starting surgery in the early morning might be associated with better long-term survival.
Prediction of total knee replacement using deep learning analysis of knee MRI
Authors: Rajamohan Haresh Rengaraj , Wang Tianyu , Leung Kevin , Chang Gregory , Cho Kyunghyun , Kijowski Richard , Deniz Cem M. 
Published: April 2023

AbstractCurrent methods for assessing knee osteoarthritis (OA) do not provide comprehensive information to make robust and accurate outcome predictions. Deep learning (DL) risk assessment models were developed to predict the progression of knee OA to total knee replacement (TKR) over a 108-month follow-up period using baseline knee MRI. Participants of our retrospective study consisted of 353 case–control pairs of subjects from the Osteoarthritis Initiative with and without TKR over a 108-month follow-up period matched according to age, sex, ethnicity, and body mass index. A traditional risk assessment model was created to predict TKR using baseline clinical risk factors. DL models were created to predict TKR using baseline knee radiographs and MRI. All DL models had significantly higher (p < 0.001) AUCs than the traditional model. The MRI and radiograph ensemble model and MRI ensemble model (where TKR risk predicted by several contrast-specific DL models were averaged to get the ensemble TKR risk prediction) had the highest AUCs of 0.90 (80% sensitivity and 85% specificity) and 0.89 (79% sensitivity and 86% specificity), respectively, which were significantly higher (p < 0.05) than the AUCs of the radiograph and multiple MRI models (where the DL models were trained to predict TKR risk using single contrast or 2 contrasts together as input). DL models using baseline MRI had a higher diagnostic performance for predicting TKR than a traditional model using baseline clinical risk factors and a DL model using baseline knee radiographs.
Structural optimisation for controlled deflections of additively manufactured single material beams
Authors: Yang Wuxin , Behera Malaya Prasad , Lv Yifan , Huang Loulin , Singamneni Sarat 
Published: April 2023

AbstractClosely controlling the mechanical behaviour and characterization of the deflection of a beam structure is a well-known and widely studied engineering problem. The progress in additive manufacturing methods and the possibilities to closely control the material property variations with the controlled placement of materials further widen the opportunities to achieve given beam deflection criteria. The multi-material additive manufacturing solutions suffer from the lack of real engineering material options, and the quality and performance of the printed parts are usually unsuitable for producing functional parts. A novel cellular structured solution is proposed here, which utilises optimisation of geometries of individual cells of a single material structured beam to obtain deflection profiles closely matched with preset conditions under different loading conditions. The cellular geometry of the structured beam is continually altered for searching and converging on the optimal structure of the cells by the covariance matrix adaptation evolution strategy algorithm in an iterative manner. The optimised beam structures could also be physically produced with single material additive manufacturing methods and the experimental and numerical beam deflection responses correlated closely.
Prognosis value and positive association of Rab1A/IL4Rα aberrant expression in gastric cancer
Authors: Li Haoran , Cheng Zhengwu , Jiang Bin , Shao Xinyu , Xu Menglin 
Published: April 2023

AbstractGastric cancer (GC) is the most common gastrointestinal cancer and the leading cause of worldwide cancer-associated mortality. Several GC patients are diagnosed at the advanced stage with an unsatisfactory 5-year survival rate. Rab1A was significantly associated with IL4Rα expression in non-small cell lung cancer. However, their potential correlation in expression and prognosis remains largely unknown in GC. In this study, Rab1A/IL-4Rα was significantly increased in GC than in para-cancerous tissues, and Rab1A/IL-4Rα overexpression caused poor prognosis among GC patients. Rab1A expression was significantly correlated with IL-4Rα expression in GC tissues, as determined by IHC analysis. In addition, the mRNA expression of Rab1A was closely linked with the IL-4Rα mRNA expression in GC tissue expressed by qPCR. Furthermore, the Kaplan–Meier analysis demonstrated that the group with negative Rab1A and IL-4Rα expression had longer 5-year survival rates than the other group. Besides, the group with positive Rab1A and IL-4Rα expression had a worse prognosis than the other group. Finally, nomograms revealed the overall 3 and 5-year survival determined crucial roles of Rab1A/IL-4Rα expression in predicting the prognosis of GC patients. Therefore, Rab1A/IL-4Rα is vital in GC, providing a novel perspective on targeted GC therapy.
Impact of infection-related admission in patients with heart failure: a 10 years national cohort study
Authors: Chen Chao-Yu , Lee Cheng-Han , Lin Hui-Wen , Lin Sheng-Hsiang , Li Yi-Heng 
Published: April 2023

AbstractInfection is a common cause of hospitalization in patients with heart failure (HF). The impact of infection on long term cardiovascular outcome in HF is not well studied. The aim of this study was to compare the long term risk of major adverse cardiovascular events (MACE) in HF patients with or without prior hospitalization for infection. From 2009 to 2015, 310,485 patients with their first HF admissions were enrolled from the Taiwan National Health Insurance Research Database. Among the patients, those with readmission due to infection within one year after HF discharge were defined as infection group and those without any infection admission were controls. The propensity score matching method was used to balance covariates between the two groups. Patients were followed until the occurrence of any component of the MACE or the end date of the study, December 31, 2019. In a mean follow-up time of 4.29 ± 2.92 years, 86.19% of patients in the infection group and 63.63% of patients in the control group had MACE. Multivariate Cox proportional hazards analysis showed the infection group had a higher risk of MACE (HR 1.760, 95% CI 1.714–1.807), including all-cause mortality (HR 1.587, 95% CI 1.540–1.636), myocardial infarction (HR 1.332, 95% CI 1.224–1.450), stroke (HR 1.769, 95% CI 1.664–1.882) and hospitalization for HF (HR 1.993, 95% CI 1.922–2.066). In conclusion, many HF patients discharged from the hospital experienced acute infection that required readmission. The patients had worse cardiovascular outcome after readmission for infectious disease compared to those without any infection.
Electric field-induced interfacial instability in a ferroelectric nematic liquid crystal
Authors: Máthé Marcell Tibor , Farkas Bendegúz , Péter László , Buka Ágnes , Jákli Antal , Salamon Péter 
Published: April 2023

AbstractStudies of sessile droplets and fluid bridges of a ferroelectric nematic liquid crystal in externally applied electric fields are presented. It is found that above a threshold, the interface of the fluid with air undergoes a fingering instability or ramification, resembling to Rayleigh-type instability observed in charged droplets in electric fields or circular drop-type instabilities observed in ferromagnetic liquids in magnetic field. The frequency dependence of the threshold voltage was determined in various geometries. The nematic director and ferroelectric polarization direction was found to point along the tip of the fingers that appear to repel each other, indicating that the ferroelectric polarization is essentially parallel to the director. The results are interpreted in connection to the Rayleigh and circular drop-type instabilities.
Ce(ΙΙΙ) and La(ΙΙΙ) ions adsorption through Amberlite XAD-7 resin impregnated via CYANEX-272 extractant
Authors: Yarahmadi Azadeh , Khani Mohammad Hassan , Nasiri Zarandi Masoud , amini Younes 
Published: April 2023

AbstractThe goal of this paper is to investigate the ability of Amberlite XAD-7 (AXAD-7) resin impregnated with CYANEX-272 (di-2,4,4-trimethylpentyl phosphonic acid) to remove cerium (Ce(ΙΙΙ)) and lanthanum (La(ΙΙΙ)) ions from aqueous solutions in the batch scheme. The prepared adsorbent material was determined utilizing FTIR, SEM–EDX, and BET methods. The impact of three individual process variable factors involving feed solution pH (2–6), adsorbent dose (0.05–0.65), and process temperature (15–55 °C) on the simultaneous removal of Ce(ΙΙΙ) and La(ΙΙΙ) ions was evaluated via response surface methodology (RSM) according to the central composite design (CCD). The modeling of Ce(ΙΙΙ) and La(ΙΙΙ) ions adsorption was performed using the quadratic model and was evaluated using a coefficient of determination for both ions. The optimization data revealed that the adsorption amount of Ce(ΙΙΙ) and La(ΙΙΙ) ions removal under optimal conditions were 99.75% and 69.98%, respectively. Equilibrium and kinetic investigations were also conducted to define the removal performance of the calculated adsorbent for Ce(ΙΙΙ) and La(ΙΙΙ) ions removal. Various isotherms models such as Langmuir, Freundlich, Temkin, and Sips were examined at 25 °C to analyze the equilibrium isotherm data. The data revealed that the Sips approach is compatible with the experimental data. The highest adsorption capacity of the resin for Ce(ΙΙΙ) and La(ΙΙΙ) ions were 11.873 mg g−1 and 7.324 mg g−1, correspondingly. The kinetic study of the Ce(ΙΙΙ) and La(ΙΙΙ) adsorption process was conducted via pseudo-first-order, pseudo-second-order, and intraparticle diffusion models(IDMs). Based on the data obtained, kinetic data were fitted well to a pseudo-second-order rate correlation. According to the obtained results, the (AXAD-7) resin impregnated with CYANEX-272 performed well in removing both Ce(ΙΙΙ) and La(ΙΙΙ) ions from aqueous solutions with well stability during several adsorption–desorption cycles and well regeneration and excellent metallic ions recovery.
Inhibitory neurons control the consolidation of neural assemblies via adaptation to selective stimuli
Authors: Bergoin Raphaël , Torcini Alessandro , Deco Gustavo , Quoy Mathias , Zamora-López Gorka 
Published: April 2023

AbstractBrain circuits display modular architecture at different scales of organization. Such neural assemblies are typically associated to functional specialization but the mechanisms leading to their emergence and consolidation still remain elusive. In this paper we investigate the role of inhibition in structuring new neural assemblies driven by the entrainment to various inputs. In particular, we focus on the role of partially synchronized dynamics for the creation and maintenance of structural modules in neural circuits by considering a network of excitatory and inhibitory $$\theta$$
θ
-neurons with plastic Hebbian synapses. The learning process consists of an entrainment to temporally alternating stimuli that are applied to separate regions of the network. This entrainment leads to the emergence of modular structures. Contrary to common practice in artificial neural networks—where the acquired weights are typically frozen after the learning session—we allow for synaptic adaptation even after the learning phase. We find that the presence of inhibitory neurons in the network is crucial for the emergence and the post-learning consolidation of the modular structures. Indeed networks made of purely excitatory neurons or of neurons not respecting Dale’s principle are unable to form or to maintain the modular architecture induced by the stimuli. We also demonstrate that the number of inhibitory neurons in the network is directly related to the maximal number of neural assemblies that can be consolidated, supporting the idea that inhibition has a direct impact on the memory capacity of the neural network.
Study on surface residual stress of 42CrMo steel treated by ultrasonic rolling extrusion
Authors: Wang Haojie , Wang Xiaoqiang , Tian Yingjian , Ling Yuanfei 
Published: April 2023

AbstractTo obtain the distribution law of residual stress of 42CrMo steel processed by ultrasonic rolling extrusion process (UREP), according to the characteristics of the material treated by ultrasonic rolling extrusion process, 42CrMo steel quasi-static experiment and dynamic experiment are carried out, the improved Johnson–Cook model was proposed. Based on the 42CrMo constitutive equation, the ultrasonic rolling extrusion process finite element method and experiment of 42CrMo steel were carried out. The results show that the simulation value and experimental value of the residual stress distribution after ultrasonic rolling extrusion process of 42CrMo steel have good consistency, with the increase of static pressure and amplitude, the residual stress increases, and with the increase of rotational speed and feed speed, the residual stress decreases, a more accurate residual stress distribution law of ultrasonic rolling extrusion of 42CrMo steel is obtained.
An integrated computational approach towards novel drugs discovery against polyketide synthase 13 thioesterase domain of Mycobacterium tuberculosis
Authors: Altharawi Ali , Alossaimi Manal A. , Alanazi Mohammed M. , Alqahatani Safar M. , Tahir ul Qamar Muhammad 
Published: April 2023

AbstractThe acquired drug resistance byMycobacterium tuberculosis (M. tuberculosis)to antibiotics urges the need for developing novel anti-M. tuberculosisdrugs that possess novel mechanism of action. Since traditional drug discovery is a labor-intensive and costly process, computer aided drug design is highly appreciated tool as it speeds up and lower the cost of drug development process. Herein, Asinex antibacterial compounds were virtually screened against thioesterase domain of Polyketide synthase 13, a unique enzyme that forms α-alkyl β-ketoesters as a direct precursor of mycolic acids which are essential components of the lipid-rich cell wall ofM. tuberculosis. The study identified three drug-like compounds as the most promising leads; BBB_26582140, BBD_30878599 and BBC_29956160 with binding energy value of − 11.25 kcal/mol, − 9.87 kcal/mol and − 9.33 kcal/mol, respectively. The control molecule binding energy score is -9.25 kcal/mol. Also, the docked complexes were dynamically stable with maximum root mean square deviation (RMSD) value of 3 Å. Similarly, the MM-GB\PBSA method revealed highly stable complexes with mean energy values < − 75 kcal/mol for all three systems. The net binding energy scores are validated by WaterSwap and entropy energy analysis. Furthermore, The in silico druglike and pharmacokinetic investigation revealed that the compounds could be suitable candidates for additional experimentations. In summary, the study findings are significant, and the compounds may be used in experimental validation pipeline to develop potential drugs against drug-resistant tuberculosis.
A pilot study of digital bedside cards in the emergency room of a medical centre in Taiwan
Authors: Liao Wei-Hsiang , Lee Shih-Yi , Liao En-Chih , Chang Wen-Han , Chen Tse-Hao , Huang Ming‑Kun , Lin Jui-Ping , Tsai Weide , Sun Fang-Ju , Chien Ding-Kuo 
Published: April 2023

AbstractThe emergency room (ER) digital bedside card is a simple and important invention. It can be directly connected to the hospital information system to display important patient information in real time, reduce the workload of ER staff, improve their satisfaction, and provide useful information for patients and their families. We conducted a prospective study of ER staff using questionnaires and conducted Wilcoxon signed-rank test to compare before and after ER digital bedside card implementation in the Tamsui MacKay Memorial Hospital. Sixty participants of the ER staff joined the study before and after digital card implementation. After the ER digital bedside card was set up, the number of round trips from the nursing station to the ER bedside and the number of common questions asked by patients and their family members were significantly reduced. The cards reduced the response time for frequently asked questions by patients and their family members and significantly improved the satisfaction of ER staff. Our study showed that ER digital bedside cards reduced the workload of ER staff, provided patients and their families with useful information, and greatly improved ER staff satisfaction. This marks an important milestone in the future development of smart ER.