bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can Energy Development Strategy Actions Boost Green Technology Innovation? Quasi-Natural Experimental Evidence from China
Authors: Wu Yongchao , Gao Xinyu 
Published: November 2024

Abstract

Regarding the National Clean Energy Demonstration Province Construction Program (NCEDPCP) initiated by the Chinese government as a quasi-natural experiment, this article examines the effects and influencing mechanisms of the NCEDPCP on GTI based on China's provincial panel data from 2000 to 2020. The results show that the NCEDPCP strongly promoted GTI, leading to a 33.6% increase in the GTI level in the construction region. Mechanism tests indicate that the NCEDPCP promotes regional GTI mainly by strengthening environmental regulation. In contrast, the mediating role of R&D investment is not obvious. Furthermore, the NCEDPCP shows a strong touting color; the central and western regions and less economically developed regions obtain more policy dividends than their counterparts.
Male breast cancer simulating multiple myeloma on 18F-FDG PET/CT: a case report
Authors: Chen Wenkun , Yao Shuzhan , Xu Shuaishuai 
Published: November 2024

Abstract

Background: Male breast cancer is a rare cancer that comprises less than 1% of breast cancer cases. Early detection is uncommon in men as they often do not notice breast lumps or seek medical attention until the lumps are large.
Case presentation: A 53-year-old male patient was referred due to left axillary lymphadenopathy for 3 years, and chest and back pain for 2 months. 18F-FDG PET/CT found multiple PET-positive lesions with underlying lytic lesions across the whole-body skeleton, and multiple enlarged lymph nodes showing high glycometabolism in left axilla. The diagnosis of multiple myeloma accompanied by extramedullary lymph node involvement was made. Subsequent rib biopsy confirmed metastatic breast infiltrating ductal carcinoma. Upon reevaluating the 18F-FDG PET/CT scans, the left mammary tissue appeared slightly fuller and exhibited greater glucose uptake compared to the right.
Conclusions: The earlier onset of lymph node lesions, compared to bone lesions, pointed more toward a diagnosis of bone metastases rather than MM.
Management of anti-NMDAr encephalitis in the Intensive Care Unit: a case report
Authors: García Beatriz Martínez , Maza Susana Sainz de la , Barragán Nuria García , Corral Íñigo Corral , García Juan Luis Chico 
Published: November 2024

Abstract

Background
Anti-NMDA receptor encephalitis has become a growing concern in young people. It usually manifests with rapid psychiatric and neurological symptoms. ICU admission is frequent, requiring a multidisciplinary approach for informed decision-making. While first-line treatments are standardized, there is no clear guideline for when to escalate to ovarian surgery or second-line immunotherapy, though early intervention is often recommended.
Case Presentation
A 31-year-old woman presented with a one-week history ofanxiety and insomnia. She developed speech dysfunction and disorganized behaviour. Normal diagnostic tests were followed by cerebrospinal fluid analysis showing lymphocytic pleocytosis and mildly elevated proteins. Her condition deteriorated with generalized seizures and decreased level of consciousness, requiring ICU admission and mechanical ventilation. Empirical immunotherapy was initiated, and right oophorectomy revealed a mature cystic teratoma. NMDAR antibodies in CSF analysis confirmed the diagnosis. Rituximab was administered, leading to full recovery within nine months.
Discussion
Anti-NMDAR encephalitis should be considered in young patients with acute psychiatric symptoms. Rapid diagnosis can be challenging due to overlapping symptoms with infections and psychiatric disorders. EEG and CSF analysis are pivotal for diagnosis. Ovarian teratomas, found in some cases, may accelerate recovery post-removal. Treatment involves early first-line immunotherapy and second-line treatments like rituximab, particularly in severe or refractory cases.
Conclusion
Early identification and treatment of anti-NMDAR encephalitis are crucial for recovery. Multidisciplinary care and timely immunotherapy, along with surgical intervention for teratomas, offer the best outcomes. More research is needed to establish clearer guidelines for second and third-line therapies.
Factors Affecting Performance of Diesel Engine Using DEE as an Ignition Enhancer by varying EGR and Intake Air Temperature
Authors: Bidir Michael Gebreyesus , Millerjothi K. , Annamalai K. , Porpatham E. 
Published: November 2024

Abstract

The rapid depletion of fossil fuels worldwide has prompted energy researchers to develop alternative energy sources using advanced technologies that maximize energy utilization. Effective use of fossil fuels can be achieved by fully extracting available energy before depletion. In this context, researchers have developed Homogeneous Charge Compression Ignition (HCCI) to optimize energy extraction during combustion. This study investigates the performance of a direct injection diesel engine using diethyl ether (DEE) as an ignition enhancer combined with liquefied petroleum gas (LPG) as fuel. The experimental setup also incorporates Exhaust Gas Recirculation (EGR) technology and intake air preheating to assess the impact on blended fuel performance. The study evaluates fuel performance under various load conditions, finding a 1.5% improvement in thermal efficiency at 15% EGR and 50°C air preheat when DEE is blended with LPG. Significant reductions in smoke (85%) and particulate emissions (90%) were observed. The analysis further highlights the superior performance of intake air preheating and EGR techniques.
Mitigating opinion polarization in social networks using adversarial attacks
Authors: Ichinose Genki , Ninomiya Michinori , Chiyomaru Katsumi , Takemoto Kazuhiro 
Published: November 2024

Abstract

In recent years, the spread of social networking services (SNS) has made it easier to connect with people who have similar opinions. Accordingly, similar opinions are shared within a group, while the frequency of exposure to different opinions tends to decrease. As a result, the polarization of opinion among groups is more likely to occur. Some studies have been conducted to identify the conditions under which opinion polarization occurs by simulating opinion dynamics, but specific methods for mitigating it have been poorly understood. Recently, it was found that even a few artificial perturbations inspired by the adversarial attack reverse the result in voter models, where a minority opinion becomes dominant through these perturbations. In this study, we conducted numerical simulations to determine whether it is possible to mitigate opinion polarization by adding such perturbations to the network in opinion dynamics models. The results show that opinion polarization can be mitigated by strategically generating perturbations to the weights of network links, and the effect increases as the perturbation strength parameter increases. Moreover, our analysis reveals that the effectiveness of this polarization mitigating method is enhanced in larger networks. Our results propose an effective way to prevent polarization of opinion in social networks.
Advancing Sustainable Farming: Development and Evaluation of a Battery-Operated Leafy Vegetable Harvester
Authors: kalluri Praveen , Shrivastava Atul Kumar 
Published: November 2024

Abstract

This paper addresses a self-propelled battery-operated harvester to harvest the green leafy vegetables through the conceptualization, analysis, and testing of the developed machine. This harvester seeks to mitigate this problem by providing an efficient and easy to use system that is cheaper compared to the conventional technique, which greatly reduces labour costs while increasing efficiency. The design incorporates certain agronomical and ergonomic parameters and agrees the harvester to be adjusted to the field condition and comfortable to use by the operators. Laboratory assessments and field estimates were conducted to measure the harvester's performance in terms of power management, cutting efficiency and speed control. Results indicate that the harvester operates optimally at a forward speed of 1.857 km/h with a conveyor speed of 0.86 m/s, utilizing a 558 mm pulley. The harvester's power desires and operational efficiency were analyzed using advanced statistical models, demonstrating significant reductions in energy consumption compared to manual harvesting. By integrating battery technology, the harvester influences to sustainable agricultural practices, supporting with global efforts to minimize carbon emissions. This innovative attempt provides a viable solution for smallholder farmers, developing agricultural productivity and supporting the transition to more sustainable farming methods.
Interplay between C-reactive protein responses and antibiotic prescribing in suspected bloodstream infections
Authors: Gu Qingze , Yuan Kevin , Wei Jia , Yoon Chang Ho , Danielsen Anders Skyrud , Luk Augustine , Eyre David W , Walker A Sarah 
Published: November 2024

Abstract

Serial measurements of C-reactive protein (CRP) are often taken in hospitals to assess recovery from infection, but their utility remains debated. We examined antibiotic prescribing patterns and their association with CRP centile changes in a cohort of 51,544 suspected bloodstream infections (BSI). Broad-spectrum antibiotics were predominantly used within the first three days after blood culture collection, followed by a notable shift to narrow-spectrum antibiotics for Gram-positive infections, but with slower de-escalation for Gram-negative and polymicrobial infections. CRP centile changes were modestly associated with subsequent antibiotic adjustments; in particular, suboptimal recovery, indicated by an increase in CRP centiles, was associated with a higher rate of antibiotic escalation and, conversely, faster than expected recovery in CRP was associated with de-escalation. The impact of various prescribing decisions on subsequent CRP centile changes was complex and challenging to estimate, likely due to testing bias. CRP centile changes during the 4 days post blood culture collection were strongly associated with 5–30-day mortality, highlighting their potential utility as a prognostic indicator. Together, these findings suggest that while CRP monitoring can inform antibiotic stewardship, its influence on prescribing decisions is probably only modest, underscoring the need to integrate a range of clinical factors to optimise BSI management.
New type of crystallographic preferred orientation (CPO) of clinopyroxene in serpentinite
Authors: Jung Haemyeong , Lee Jungjin 
Published: November 2024

Abstract

﻿Diopside is a major clinopyroxene mineral present in the mantle peridotites and serpentinites. However, the crystallographic preferred orientation (CPO) of diopside and its deformation mechanism are poorly understood. Here, we present a new S1-type CPO diopside in deformed serpentinites from Monte San Petrone (Alpine Corsica, France). The new CPO is characterized by a strong alignment of the (100) poles subnormal and a girdle distribution of the [010] and [001] axes subparallel to the foliation. Orientation analysis showed that, during serpentinization, the (100) planes of diopside were topotactically related to those (001) of antigorite: (100)di // (001)atg. The dominant (001) basal glide of antigorite appears to cause the (100) poles of the surrounding diopsides to align parallel to the foliation, mainly through phase boundary sliding and grain rotation during dynamic recrystallization. The anomalous radial anisotropy of P-waves observed in the mantle wedges in south-western Japan and Alaska subduction zones can be attributed to the new CPO of diopside.
Assessment of Left Ventricular Ejection Fraction by Applying a New Left Ventricular Segmental Wall Motion Score in Echocardiography Compared to Cardiac Magnetic Resonance and Other Echocardiographic Imaging Methods
Authors: Jaradat Ehab , Tabatabai Sadeq , Alseiari Saeed , Al-Mulla Arif 
Published: November 2024

Abstract

Background
Left ventricular (LV) ejection fraction (EF) is a crucial indicator of left ventricular systolic function in several cardiology fields. Having said that, it also has several key limitations. Assessment of the LV segmental wall motion score (WMS) can substitute for the traditional LVEF for evaluating left ventricular systolic function. This retrospective study intends to investigate the validity of assessing LVEF by utilising a new echocardiographic LV segmental WMS method in comparison with cardiac magnetic resonance (CMR) imaging and other echocardiographic modalities.
Methods
In the CMR group, 78 individuals were enrolled, while 118 others were enrolled in the transthoracic echocardiography group. Based on the assumption that each segment contributes proportionally to the global LVEF, each normokinetic and hypokinetic segment will be scored at an average of 4% and 2%, respectively. In comparison, dyskinetic and akinetic segments will be scored at 0%.
Results
WMS-LVEF correlates positively with CMR-LVEF (r = 0.98), three-dimensional (3D) echocardiography (r = 0.98), the 2D biplane Simpson’s (r = 0.96), and visual assessment of LVEF (r = 0.97) with P < 0.001.
In general, WMS-LVEF provided a good agreement with a relatively small mean bias and narrow standard deviation (SD) of LVEF compared to CMR-LVEF (bias: 0.83%, SD: 2.8), 3D-echocardiography (bias: 0.43%, SD: 1.96), the 2D biplane Simpson’s (bias: 0.74%, SD: 2.39%), and visual assessment of LVEF (bias: 0.20%, SD: 2.39%).
Conclusions
The new WMS-LVEF derived by transthoracic echocardiography has a great correlation and level of agreement with other benchmark echocardiography and CMR-LVEF approaches.
Comparative Analysis of Vertebral Body and Local Infiltration Anesthesia in PVP Procedures
Authors: Hossain Marofe , Hao Sun , Baral Shantanu , Yeasin Ahamed , Wang Yongxiang 
Published: November 2024

Abstract

Background
This study evaluates the effectiveness of local infiltration anesthesia and vertebral cancellous bone infiltration anesthesia in providing pain relief during vertebroplasty.
Methods
Between 2022 and 2024, This study involved 100 patients with osteoporotic vertebral compression fractures, randomly divided into two groups: Group A (local infiltration anesthesia) and Group B (local infiltration combined with vertebral cancellous bone infiltration anesthesia). Pain was assessed using the Visual Analog Scale, mean arterial pressure, heart rate, and blood oxygen saturation at preoperative, intraoperative, and 2-hour postoperative stages.
Results
No significant differences were observed between the two groups preoperatively in HR, MAP, or VAS scores (P > 0.05). Intraoperatively, Group B demonstrated significantly lower HR and MAP compared to Group A (P < 0.01). Furthermore, Group B exhibited superior pain control, with lower VAS scores during surgery (P < 0.01). Postoperative HR and MAP remained lower in Group B, but no significant differences in VAS scores were noted between the groups (P > 0.05). Providing confidence intervals alongside P-values offers a clearer representation of statistical precision.
Conclusion
Vertebral cancellous bone infiltration anesthesia may reduce the risk of cardiovascular events and provide better pain management during vertebroplasty than local infiltration anesthesia. The superior intraoperative analgesic effects make vertebral cancellous bone infiltration anesthesia a valuable option in clinical practice.
Research on coal and gas outburst prediction based on physical information neural network
Authors: Wang Lei , Jia Baoshan , Su Guorui 
Published: November 2024

Abstract

The advancement of AI technologies provides a base for predicting coal and gas outbursts from the mathematical perspective. To enhance prediction precision of coal and gas outbursts, this research proposes a method leveraging a physical information neural network to forecast outburst intensity. The primary factors influencing coal and gas outbursts, such as ground stress, coal firmness coefficient, mining depth, gas pressure, gas content, initial velocity of gas emission, and monotonic outburst characteristics, are integrated into the physical neural network model. This integration achieves a coupling of mechanistic and data-driven models for outburst prediction. Utilizing a typical dataset obtained from a mine, research findings demonstrate that a prediction model based on the physical information neural network surpasses RF, SVM, and BPNN models in terms of generalization capability and accuracy, significantly enhancing prediction accuracy even with limited sample data.
The mechanism of hyperthermia combined with chemotherapy on melanoma was investigated based on proteomics and phosphorylated proteomics sequencing
Authors: Ma Xiucai , Ma Xiaoyan , Zhang Shengying , Huang Guoli , Wang Jinbao , Yang Gaosheng , Zhan Chunrui , Luo Guodong , Gao Zhao , Zhang Qiuning , Cai Hui 
Published: November 2024

Abstract

Background
Melanoma is the most aggressive form of skin cancer, in which protein regulation plays a crucial role. Therefore, this study utilizes high-throughput sequencing to explore the regulatory mechanisms of proteins and phosphorylated proteins in melanoma.
Methods
The CCK-8 assay was used to assess the effect of the drug on the proliferation of A375 cells. Proteomic and phosphorylated protein sequencing were performed on human melanoma cells, divided into four cohorts: A (normal), B (heat perfusion), C (chemotherapy), and D (heat perfusion + chemotherapy) (n = 4). Differentially expressed proteins (DEPs) and phosphorylated proteins (PDEPs) between melanoma and normal cohorts were identified through differential expression analysis. Subsequently, enrichment analyses were conducted on DEPs and PDEPs to elucidate their regulatory functions. Protein-protein interaction (PPI) networks based on DEPs and PDEPs were constructed to identify hub proteins or phosphorylated proteins, which were then localized within the cells. Finally, the intersection of DEPs and PDEPs among each comparison cohort was examined, and specifically expressed proteins or phosphorylated proteins were selected for correlation analysis to pinpoint key proteins or phosphorylated proteins.
Results
The most pronounced inhibitory effect was observed in the cohort treated with 50 µM mafaramide and subjected to hyperthermia at 41.5°C. There were 13 or 37, 98 or 247, and 156 or 456 DEPs or PDEPs identified in comparison cohorts B vs. A, C vs. A, and D vs. A, respectively. Functional enrichment analysis revealed that DEPs in the B vs. A cohort were primarily associated with the ‘ubiquitin ligase complex’ and ‘ubiquitin-mediated proteolysis’, while PDEPs were significantly enriched in ‘chromosomal region’ and ‘ribonucleoprotein complex biogenesis’. Notably, DEPs and PDEPs from the D vs. A and C vs. A cohorts were co-enriched in the ‘p53 signaling pathway’. Additionally, most hub proteins and phosphorylated proteins were localized in the nucleus, cytoplasm, and nucleoplasm. Finally, RPS18 was identified as the key phosphorylated protein, while BRD9 and DNAJC25 were identified as key proteins.
Conclusion
As the drug concentration and hyperthermia temperature increased, the inhibitory effect on cell proliferation became more pronounced. In this study, we investigated the potential roles of proteins and phosphorylated proteins in melanoma, laying the groundwork for exploring the regulatory mechanisms of RPS18, BRD9, and DNAJC25 in this context.
Recombinant Protein Spectral Library (rPSL) DIA-MS Method Improves Identification and Quantification of Low-Abundance Cancer-Associated and Kynurenine Pathway Proteins
Authors: Krishnamurthy Shivani , Gunasegaran Bavani , Paul-Heng Moumita , Mohamedali Abidali , P.Klare William , Pang C.N. Ignatius , Gluch Laurence , Shin Joo-Shik , Chan Charles , Baker Mark , Ahn Seong Beom , Heng Benjamin 
Published: November 2024

Abstract

Data-independent acquisition mass spectrometry (DIA-MS) is a powerful tool for quantitative proteomics, but a well-constructed reference spectral library is crucial to optimize DIA analysis, particularly for low-abundance proteins. In this study, we evaluate the efficacy of a recombinant protein spectral library (rPSL), generated from tryptic digestion of 42 human recombinant proteins, in enhancing the detection and quantification of lower-abundance cancer-associated proteins. Additionally, we generated a combined sample-specific biological-rPSL by integrating the rPSL with a spectral library derived from pooled biological samples. We compared the performance of these libraries for DIA data extraction with standard methods, including sample-specific biological spectral library and library-free DIA methods. Our specific focus was on quantifying cancer-associated proteins, including key enzymes involved in kynurenine pathway, across patient-derived tissues and cell lines. Both rPSL and biological-rPSL DIA approaches provided significantly improved coverage of lower-abundance proteins, enhancing sensitivity and more consistent protein quantification across matched tumour and adjacent noncancerous tissues from breast and colorectal cancer patients and in cancer cell lines. Overall, our study demonstrates that rPSL and biological-rPSL coupled with DIA-MS workflows, can address the limitations of both biological library-based and library-free DIA methods, offering a robust approach for quantifying low-abundance cancer-associated proteins in complex biological samples.
Preparation of mesoporous chitosan cobalt supported nano-catalyst for the catalyzed reduction of quinoline to quinoline aldehyde
Authors: Wu Lan , Liu Yongchao , Wang Ze , Ye Xinyu , Li Zhenhua , Liu Yaozong , Dong Zhengping 
Published: November 2024

Abstract

Supported nanocatalysts with environmental sustainability and high catalytic performance have attracted much attention. Research interest in sustainable catalysis. A supported nanocatalyst Co@NSC has been studied in this paper. Porous materials with catalytic properties were prepared by anchoring transition metal cobalt onto porous materials doped with nitrogen. Carbon material with chitosan as raw material. The results of the scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FT-IR) tests demonstrate that the catalyst obtained exhibits an excellent mesoporous structure and a uniform distribution of cobalt elements. The scaffold is rich in N atoms, which can provide enough anchor points for cobalt to form cobalt-NX. Cobalt groups can improve the catalytic activity of the catalyst. In addition, Co@NSC is porous, the structure has the potential to facilitate the mass transfer of the reactants, thereby enhancing the overall efficiency of the reaction. Furthermore, the prepared catalyst was employed in the conversion of quinoline into the corresponding quinoline aldehyde. The results show that quinoline can be directly reduced to produce the corresponding quinoline aldehyde. Subsequently, the selectivity and stability of the prepared catalyst were validated.