bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic utility of preoperative inflammatory markers in patients with intrahepatic cholangiocarcinoma after hepatic resection: A systematic review and meta‐analysis
Authors: Cui Hongxia , Li Yarong , Li Su , Liu Guangxuan 
Published: June 2022

AbstractBackgroundThe prognostic value of preoperative systemic inflammatory markers, including the neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and lymphocyte‐to‐monocyte ratio (LMR), remains controversial in patients with intrahepatic cholangiocarcinoma (ICC). Therefore, this meta‐analysis aimed to investigate the prognostic value of preoperative NLR, PLR, and LMR in patients with ICC who underwent hepatic resection.MethodsWe conducted a comprehensive search of four electronic databases. Two researchers assessed the quality of the available data using the Newcastle–Ottawa Scale. We selected overall survival (OS) as the primary outcome and recurrence‐free survival (RFS) and disease‐free survival (DFS) as secondary outcomes. Hazard ratios (HRs) and 95% confidence intervals (CIs) were merged to evaluate the associations between inflammatory markers and ICC patient prognosis.ResultsFifteen studies (18 cohorts) with 4123 cases were included in this meta‐analysis. The results revealed that a high preoperative NLR was associated with short OS and RFS (HR = 1.04, 95% CI: 1.01–1.07, and HR = 1.29, 95% CI: 1.04–1.60, respectively) in patients with ICC. However, the association between PLR or LMR and ICC prognosis was not statistically significant. In addition, the publication bias and sensitivity analyses demonstrated that the results were reliable and stable.ConclusionOur meta‐analysis revealed that preoperative NLR may be a useful prognostic predictor for patients with ICC.
TiO2 Deposited on Activated Sewage Sludge for Effective Photocatalytic Degradation of Tetracycline
Authors: Hanh Nguyen Thi , Khai Nguyen Manh , Anh Tran Nam , Vinh Le Thi , Huan Nguyen Huu , Pham Thanh-Dong 
Published: June 2022

AbstractTitanium isopropoxide and sewage sludge from a municipal wastewater treatment plant were used as precursors to synthesize TiO2 deposited on activated sludge (TiO2/AS) using the sol‐gel method. The sewage sludge acted as a novel substrate to increase the surface area and as source of metals and non‐metals, which doped into the TiO2 lattice to enhance its photocatalytic activity. Thus, the synthesized TiO2/AS exhibited a narrow bandgap energy (2.61 eV) and a high surface area (138.7 m2g−1) for increased photocatalytic degradation with high mineralization of tetracycline in an aqueous environment. The study also demonstrates that the kinetics of photocatalytic tetracycline degradation by TiO2/AS follows a pseudo‐first‐order model. The optimized pH for the photocatalysis by TiO2/AS was 8.
Phosphate Removal with pH‐Responsive Calcium Carbonate Nanoparticles
Authors: Aziz Hafiz Gadafi Abdul , Ooi Boon Seng , Ahmad Abdul Latif , Ahmad Zainal , Ahmad Mohd Azmier , Leo Choe Peng 
Published: June 2022

AbstractIncreasing use and excessive release of phosphate cause eutrophication. In this work, calcium carbonate nanoparticles were produced and modified to remove phosphate from water. The calcium carbonate nanoparticles were synthesized through wet carbonation with polyethylene glycol and sodium dodecyl sulfate added to limit particle size. Iron was incorporated into the calcium carbonate nanoparticles to improve phosphate removal. The BET surface area of CaCO3 was significantly improved after Fe incorporation. Phosphate removal was enhanced from 50 to 90 % within minutes. More importantly, the adsorption behavior of CaCO3‐Fe was different from that of the pH‐responsive CaCO3 material. Phosphate adsorption was reduced in alkaline solution due to the decreased positive surface charge of CaCO3‐Fe for interaction with phosphate.
A new improved projection algorithms of virtual reality panoramic video and application in physical education
Authors: Guo Shuang , Chen Zhijun 
Published: June 2022

SUMMARYData storage and transmission have become the two biggest challenges it currently faces. In our study, we proposed an improved octahedral projection layout method. Performing an equivalent process on every patch to rework into an isosceles right‐angled triangle, combine into varied squares based on varied needs, and finally combine into a completely continuous interior and a facet magnitude relation of 2:1 flat parallelogram. Furthermore, the area‐preserving uniform projection method is also proposed. Moreover, applying virtual reality technology to Tai Chi teaching using research methods such as literature, expert interviews, questionnaires, teaching experiments, and mathematical statistics, the data of the basic physical quality test of the students in the experimental group and the control group were compared and analyzed to verify the scientific hypothesis that the VR technology could improve the teaching effect of Tai Chi. Results show that different from the compact layout of the initial octahedral projection, the approach proposed in our study has removed the inner discontinuous borderlines and possessed top boundary continuity. Students gain a good situational experience while deepening their understanding and memory of the details of Tai Chi movements, and the learning process is interesting and impressive.
Combined treatment with anti‐PSMA CAR NK‐92 cell and anti‐PD‐L1 monoclonal antibody enhances the antitumour efficacy against castration‐resistant prostate cancer
Authors: Wang Fangming , Wu Liyuan , Yin Le , Shi Hui , Gu Yuchun , Xing Nianzeng 
Published: June 2022

AbstractBackgroundThe chimeric antigen receptor NK‐92 (CAR NK‐92) cell targeting the prostate‐specific membrane antigen (PSMA) has shown antitumour effects in castration‐resistant prostate cancer (CRPC). However, the expression changes of programmed death ligand 1 (PD‐L1) and its mechanisms on CAR NK‐92 and CRPC cells and the effect of the anti‐PD‐L1 monoclonal antibody (mAb) on PD‐L1 expressed on CAR NK‐92 cells remain unknown.MethodsHuman dendritic cells and CD8+ T cells were acquired from blood samples of healthy donors and cocultured with C4‐2 cells. Changes in PD‐L1 expression were detected by flow cytometry. Differential gene expressions were investigated by RNA sequence analysis, while the regulation of PD‐L1 molecular signaling was explored using western blotting. In vitro cytotoxicity was evaluated using the Cell Counting Kit‐8 assay and the bioluminescent intensity (BLI) of green fluorescent protein‐labelled C4‐2 cells. CRPC growth in vivo was monitored using callipers and BLI in male NOD/SCID mice subcutaneously injected with C4‐2 cells and treated intravenously with anti‐PD‐L1/PD‐1 mAb, CAR NK‐92 or cocultured CD8+ T cells.ResultsSignificantly upregulated expression of PD‐L1k was observed in cocultured C4‐2 and CAR NK‐92 cells. In addition, upregulation of PD‐L1 expression was dependent on interferon‐γ in C4‐2 cells, while it was dependent on direct cell‐to‐cell interaction via the NK group 2 member D/ phosphatidylinositol 3‐kinase/AKT pathway in CAR NK‐92 cells. The anti‐PD‐L1 mAb directly acted on PD‐L1 expressed on CAR NK‐92 cells and augmented the cytotoxicity of CAR NK‐92 cells against C4‐2 and CRPC cells from one patient in vitro. Anti‐PD‐L1 mAb significantly enhanced the antitumour effect of CAR NK‐92 cells against CRPC cells in vivo when compared to treatment with CAR NK‐92 cells or combined with anti‐PD‐1 mAb in the absence or presence of cocultured CD8+ T cells.ConclusionCombined treatment with CAR NK‐92 and anti‐PD‐L1 mAb improved the antitumour efficacy against CRPC, which is of extraordinary translational value in the clinical treatment of CRPC.
Assembly‐In‐Foam Approach to Construct Nanodiamond/Carbon Nanotube Hybrid Monolithic Carbocatalysts for Direct Dehydrogenation of Ethylbenzene to Styrene
Authors: Ge Guifang , Wei Xiaojing , Guo Hongchen , Zhao Zhongkui 
Published: June 2022

AbstractSustainable nanocarbon catalysts have made measurable progress in ethylbenzene direct dehydrogenation (DDH). Thanks for the distinctive physical and chemical properties of Nanodiamond (ND), the considerable attention have been paid to diverse catalytic transform processes involving the DDH reaction. However, the powder‐form carbon cannot be directly used in fixed‐bed reactors owing to the resulting huge pressure drop. Herein, inspired by the ship‐in‐boat strategy, we present an ingenious assembly‐in‐foam approach for the preparation of a novel hybrid structured monolithic catalyst featuring an aerogel of sulfur‐doped nanodiamonds/carbon nanotubes hybrid within the macropores of SiC foam (ND−CNT−SDS/SiC) by heating the freeze‐dried macroporous hybrid gels composed of CNT, ND, and SDS in N2 atmosphere. Owing to the promoted NDs dispersion, strengthened mass transfer, and sulfur‐doping, the nanodiamonds/carbon nanotube hybrid foam monolithic catalyst exhibits a terrific catalytic performance with high stability for energy‐saving styrene production from DDH of ethylbenzene reaction, as well as overcoming the shortcomings of application of powder‐formed nanocarbon in heterogeneous catalysis. Furthermore, the emerging Assembly‐in‐Foam way for preparing nanocarbons‐based foam monolithic catalyst towards diverse chemical processes has been paved.
Low complexity multichannel spectrum prediction algorithm based on optimized neural network for spectrum allocation in cognitive radio internet of things
Authors: Tidjani Sayhia , Hammoudi Zoheir , Moad Mohammed Essayah 
Published: June 2022

AbstractCognitive radio has been nominated as a key technology for the internet of things (IoT), due to its intelligent functionalities ensuring continuous connectivity for IoT objects. Spectrum prediction, as one of the core CR functions, has emerged as a leading tool to alleviate the spectrum scarcity problem. Spectrum prediction minimizes sensing and decision‐making delays, and thereby it reduces collisions with primary users and guarantees safe access for secondary users (SUs). Thus, it became an inseparable part of many new spectrum allocation and mobility methods. In this work, the proposed cognitive radio IoT model consists of local sensors (LS) that perform sensing instead of SUs, and a cognitive base station that receives sensing results from different LSs to predict the next occupancy information and allocate frequencies for SUs. The predictor is followed by a channel extraction block for efficient spectrum allocation. Then, a low complexity spectrum prediction and preallocation system based on optimized neural network architecture is presented. Two nonlinear neural network models, time delay neural network and nonlinear autoregressive with exogenous input, that are trained on a real spectral occupancy dataset, are optimized using the Bayesian optimization algorithm then compared. The best predictor forecasts the next occupancy rate of multiple channels simultaneously based on three dimensions, area, time, and frequency. Performance evaluation was conducted through accuracy, mean squared error (MSE), and regression fit. The highest prediction accuracy was93.5%, the regression coefficient was0.98, and a reduced MSE of0.0013obtained. Results show that the considered scheme is efficient in forecasting the spectrum availability of different bands within the IoT spectrum resources.
Complications of second‐trimester medical termination of pregnancy for fetal anomalies compared with intrauterine fetal demise
Authors: Testani Erica , Latta Kristen , Barker Emily , York Sloane L. , Laursen Laura 
Published: June 2022

AbstractObjectiveTo assess complication rates of patients undergoing a second‐trimester medical termination for intrauterine fetal demise compared with fetal anomalies.MethodsWe performed a retrospective cohort study comparing patients undergoing medical termination for a fetal anomaly versus medical termination for intrauterine fetal demise (IUFD) before 24 weeks of gestation. Data were collected from two urban academic medical centers from 2009 to 2019. Institutional review board approval was obtained from both institutions and patient consent was not required. We included singleton gestations between 14.0 weeks and 23.6 weeks undergoing induction with mifepristone and misoprostol or misoprostol alone. Groups were matched based on gestational age with a 1:1 ratio. The primary outcome was composite complication rate (retained placenta requiring dilation and curettage, suspected infection, hemorrhage, failed induction requiring dilation and evacuation, intensive care unit admission, and readmission).ResultsNinety‐five patients were in each group. The groups differed in patient mean age (fetal anomaly 34 years versus 31 years for IUFD, P = 0.005) and mifepristone pretreatment (fetal anomaly 55% versus IUFD 5%, P < 0.001). Composite complication rate was similar (fetal anomaly 14% versus IUFD 17%), and specific complications did not differ.ConclusionSecond‐trimester medical termination for IUFDs have similar complication rates as those undergoing induction terminations for fetal anomalies.
Improvement of diagnostic efficiency in fetal congenital heart disease using fetal intelligent navigation echocardiography by less‐experienced operators
Authors: Chen Ran , Tao Xiaoying , Wu Xia , Sun Lihua , Ma Mingming , Zhao Bowen 
Published: June 2022

AbstractObjectiveThis study investigated the feasibility and accuracy of fetal intelligent navigation echocardiography (FINE) for the prenatal diagnosis of congenital heart disease (CHD) by inexperienced and experienced operators.MethodIn this prospective study, all volume data sets from 120 fetuses with a broad spectrum of CHD were acquired using spatiotemporal image correlation technology. The prenatal diagnostic procedures were performed by two operators with different experience (beginner: 1 year and expert: 15 years) using FINE and traditional fetal echocardiography. Data were analyzed on the time of examination and acquisition of results.ResultsDiagnoses made by FINE and traditional echocardiography were completely consistent with the final diagnosis of CHD in 98 (81.66%) versus 20 (16.66%) (P < 0.001) beginners and 87.50% (n = 105) versus 101 (84.16%) experts, respectively. On the contrary, there was significant difference using traditional echocardiography (16.66% versus 84.16%, P < 0.001) by two examiners. Furthermore, the examination time decreased when using FINE compared with using traditional echocardiography (beginner operators: 4.54 ± 1.03 min versus 20.58 ± 3.36 min, P < 0.001; expert operators: 3.89 ± 0.96 min versus 12.73 ± 1.62 min, P < 0.001).ConclusionBased on our results, a prenatal diagnosis of CHD can be made with high feasibility and accuracy using FINE compared with traditional fetal echocardiography for beginner operators.
Cysteine and glycine‐rich protein 2 promotes hypoxic pulmonary vascular smooth muscle cell proliferation through the Wnt3α‐β‐catenin/lymphoid enhancer‐binding factor 1 pathway
Authors: Tang Liyu , Wang Nan , Wei Xiaozhen , Huang Sirui , Wang Pan , Zheng Yameng , Chen Liangwan , Zhang Li 
Published: June 2022

AbstractPulmonary hypertension (PH) is mainly characterized by abnormal pulmonary vascular hyperplasia and vascular remodeling, but its mechanism is complicated and currently unclear. Cysteine and glycine‐rich protein 2 (Csrp2) has been reported to promote cell proliferation and migration, and affect cell cycle progression. As a new invasive actin‐binding factor, Csrp2 increased the invasion and even metastasis of some cancer cells. It was associated with tumor recurrence and chemotherapy resistance. However, the role of Csrp2 in PH remains unknown. We found that Csrp2 expression was increased both in pulmonary arteries (PAs) and smooth muscle cells (PASMCs) in PH. Csrp2 enhanced PASMC proliferation and phenotypic transition. The Wnt3α‐β‐catenin/lymphoid enhancer‐binding factor 1 (LEF1) pathway is involved in cell proliferation and phenotypic transition regulated by Csrp2 expression. These results suggest that hypoxia downregulates YinYang‐1 (YY1) and then increases Csrp2 expression. Increased Csrp2 promotes PASMC proliferation and phenotypic transition by activating the Wnt3α‐β‐catenin/LEF1 pathways, which leads to pulmonary vascular remodeling and even provides a new theoretical basis for studying the pathogenesis and therapeutic targets of PH.
NO reduction mechanism in microreactor with cantor fractal structure
Authors: Yuan Zhanpeng , Chen Xueye 
Published: June 2022

AbstractWith the rising emission of NO and particulate matter in vehicle exhaust, the atmosphere is gradually deteriorating and human health is being impacted. In order to reduce the NO emission in automobile exhaust devices, a tubular microreactor with a Cantor structure was studied in this paper. The NO conversion rate and concentration were evaluated by considering the fractal principle, reactant concentration ratio, inlet velocity and channel temperature. Increasing the fractal dimension could promote the mixing of reactants and make the distribution of species concentration in the channel more uniform. When the NO flux at the inlet of the microreactor channel was a constant, increasing the concentration of NH3 could significantly improve the reaction efficiency. Results show that the effect on the reaction results was best when the NO inlet velocity was lower and the NH3 inlet velocity higher. For example, when =0.025 m s−1 and =0.05 m s−1, the conversion rate of NO was as high as 98%. Porosity had little effect on the reaction results. Through comparison of the NO concentration at the outlet at different channel temperatures, it was concluded that increasing the temperature in the channel is most helpful in improving the reaction efficiency. © 2022 Society of Chemical Industry (SCI).
Epidemiological trends and clinical features of the ongoing monkeypox epidemic: A preliminary pooled data analysis and literature review
Authors: Bragazzi Nicola L. , Kong Jude D. , Mahroum Naim , Tsigalou Christina , Khamisy‐Farah Rola , Converti Manlio , Wu Jianhong 
Published: June 2022

AbstractAn emerging outbreak of monkeypox infection is quickly spreading worldwide, being currently reported in more than 30 countries, with slightly less than 1000 cases. In the present preliminary report, we collected and synthesized early data concerning epidemiological trends and clinical features of the ongoing outbreak and we compared them with those of previous outbreaks. Data were pooled from six clusters in Italy, Australia, the Czech Republic, Portugal, and the United Kingdom, totaling 124 cases (for 35 of which it was possible to retrieve detailed information). The ongoing epidemic differs from previous outbreaks in terms of age (54.29% of individuals in their thirties), sex/gender (most cases being males), risk factors, and transmission route, with sexual transmission being highly likely. Also, the clinical presentation is atypical and unusual, being characterized by anogenital lesions and rashes that relatively spare the face and extremities. The most prevalent sign/symptom reported was fever (in 54.29% of cases) followed by inguinal lymphadenopathy (45.71%) and exanthema (40.00%). Asthenia, fatigue, and headache were described in 22.86% and 25.71% of the subjects, respectively. Myalgia was present in 17.14% of the cases. Both genital and anal lesions (ulcers and vesicles) were reported in 31.43% of the cases. Finally, cervical lymphadenopathy was described in 11.43% of the sample, while the least commonly reported symptoms were diarrhea and axillary lymphadenopathy (5.71% of the case series for both symptoms). Some preliminary risk factors can be identified (being a young male, having sex with other men, engaging in risky behaviors and activities, including condomless sex, human immunodeficiency virus positivity (54.29% of the sample analyzed), and a story of previous sexually transmitted infections, including syphilis). On the other hand, being fully virally suppressed and undetectable may protect against a more severe infectious course. However, further research in the field is urgently needed.
EPI phase error correction with deep learning (PEC‐DL) at 7 T
Authors: Wang Lili , Wang Chengyan , Wang Fanwen , Chu Ying‐hua , Yang Zidong , Wang He 
Published: June 2022

PurposeThe phase mismatch between odd and even echoes in EPI causes Nyquist ghost artifacts. Existing ghost correction methods often suffer from severe residual artifacts and are ineffective with k‐space undersampling data. This study proposed a deep learning–based method (PEC‐DL) to correct phase errors for DWI at 7 Tesla.MethodsThe acquired k‐space data were divided into 2 independent undersampled datasets according to their readout polarities. Then the proposed PEC‐DL network reconstructed 2 ghost‐free images using the undersampled data without calibration and navigator data. The network was trained with fully sampled images and applied to two‐ and fourfold accelerated data. Healthy volunteers and patients with Moyamoya disease were recruited to validate the efficacy of the PEC‐DL method.ResultsThe PEC‐DL method was capable to mitigate the ghost artifacts in DWI in healthy volunteers as well as patients with Moyamoya disease. The fourfold accelerated results showed much less distortion in the lesions of the Moyamoya patient using high b‐value DWI and the corresponding ADC maps. The ghost‐to‐signal ratios were significantly lower in PEC‐DL images compared to conventional linear phase corrections, mini‐entropy, and PEC‐GRAPPA algorithms.ConclusionThe proposed method can effectively eliminate ghost artifacts for full sampled and up to fourfold accelerated EPI data without calibration and navigator data.
Real‐time cardiac MRI using an undersampled spiral k‐space trajectory and a reconstruction based on a variational network
Authors: Kleineisel Jonas , Heidenreich Julius F. , Eirich Philipp , Petri Nils , Köstler Herbert , Petritsch Bernhard , Bley Thorsten A. , Wech Tobias 
Published: June 2022

PurposeCardiac MRI represents the gold standard to determine myocardial function. However, the current clinical standard protocol, a segmented Cartesian acquisition, is time‐consuming and can lead to compromised image quality in the case of arrhythmia or dyspnea. In this article, a machine learning–based reconstruction of undersampled spiral k‐space data is presented to enable free breathing real‐time cardiac MRI with good image quality and short reconstruction times.MethodsData were acquired in free breathing with a 2D spiral trajectory corrected by the gradient system transfer function. Undersampled data were reconstructed by a variational network (VN), which was specifically adapted to the non‐Cartesian sampling pattern. The network was trained with data from 11 subjects. Subsequently, the imaging technique was validated in 14 subjects by quantifying the difference to a segmented reference acquisition, an expert reader study, and by comparing derived volumes and functional parameters with values obtained using the current clinical gold standard.ResultsThe scan time for the entire heart was below 1 min. The VN reconstructed data in about 0.9 s per image, which is considerably shorter than conventional model‐based approaches. The VN furthermore performed better than a U‐Net and not inferior to a low‐rank plus sparse model in terms of achieved image quality. Functional parameters agreed, on average, with reference data.ConclusionsThe proposed VN method enables real‐time cardiac imaging with both high spatial and temporal resolution in free breathing and with short reconstruction time.