bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy and Safety of Aldosterone Synthase Inhibitors for Hypertension: A Meta-Analysis of Randomized Controlled Trials and Systematic Review
Authors: Marzano Luigi , Merlo Matteo , Martinelli Nicola , Pizzolo Francesca , Friso Simonetta 
Published: January 2025

BACKGROUND:
Hypertension is a major global health issue. Aldosterone synthase inhibitors (ASIs) have emerged as a promising therapeutic strategy for blood pressure control.

METHODS:
A thorough search of the MEDLINE and Embase databases up to March 30, 2024, identified randomized trials comparing ASIs with a placebo for hypertension treatment. Data extraction was done independently by 2 authors. Both random-effects (REML) and fixed-effects meta-analyses were conducted to account for diversity and study size, respectively. Risk ratios for binary outcomes and mean differences for continuous outcomes were calculated.

RESULTS:

Seven randomized controlled trials involving 1440 patients (mean age, 60 years; 39% women) were included. The analysis showed that ASIs reduced office systolic blood pressure by 6.3 mm Hg ([95% CI, –8.8 to –3.8];
P
<0.0001) and diastolic blood pressure by 2.2 mm Hg ([95% CI, –4.2 to –0.2];
P
=0.03). The risk ratio for adverse events was 1.1 ([95% CI, 0.9–1.2];
P
=0.3), with a similar trend for serious adverse events (risk ratio, 1.0 [95% CI, 0.5–2.3];
P
=0.95). No treatment-related deaths occurred. However, the risk of hyperkalemia was higher with ASIs (risk ratio, 2.5 [95% CI, [1.2–5.4];
P
<0.02).

CONCLUSIONS:
ASIs effectively reduce systolic and diastolic blood pressure in hypertensive patients and have a tolerable safety profile. The increased risk of hyperkalemia requires careful monitoring. These findings suggest ASIs are a potential treatment option for hypertension, pending further research in larger studies.
Beyond “Trapped Pets” and “Red Buttons”: Bioinformatics as an Experimental Discipline
Authors: Ratti Emanuele , D’Agostino Giuseppe 
Published: January 2025

Abstract
The past few years have witnessed a growth of interest in the historical and philosophical dimensions of bioinformatics as a discipline. Despite the importance of bioinformatics in addressing the issues raised by the growing amount of biological data, data management is often seen as all it has to offer to biology. However, the emphasis on data management may come at the expense of understanding how bioinformatics generates genuine biological knowledge beyond its instrumental value for bench biologists. Some authors have taken the first steps beyond data management, and towards the characterization of bioinformatics as a unique epistemic endeavor by stressing how its experimental practices can be conducive to biological knowledge. In this article, we build upon these attempts, and by using a detailed case study from the field of single cell transcriptomics (i.e., RNA velocity), we provide a fully-fledged characterization of bioinformatics as an experimental discipline.
The China Cultural Centre Project
Authors: Wang Minglei 
Published: January 2025

Summary
China Cultural Centres (CCC s) are cultural promotion organisations established outside the People’s Republic of China by its Ministry of Culture and Tourism. By 2023, there were 48 centres set up globally. So far, few attempts have been made to explain how CCC s work. Using media reports and policy documents, this article maps out CCC s’ working modes, namely, global coordination, partnership with Chinese provincial- level governments and collaboration with local partners. Drawing on the case of the CCC in Sydney and interviews in Australia, it highlights characteristics and implications of CCC s’ programming. It shows that CCC s’ operation demonstrates a mix of Chinese and international perspectives on cultural diplomacy, providing a nuanced understanding of China’s overseas cultural endeavours. Based on the Australian case, it further argues that events under the first two working modes generate little impact in local society, whereas collaboration with local partners leads to demonstrable benefits.
Life Cycle of Hadronema militare Uhler (Hemiptera: Heteroptera: Miridae)
Authors: CLARK AARON 
Published: January 2025

Lupine (Lupinus L.) and goldenbanner (Thermopsis R. Br.), herbaceous legumes (Fabaceae) in the subfamily Faboideae, are plants that support the nymphal development of the orthotyline plant bug Hadronema militare Uhler. In Wyoming, H. militare is univoltine, overwinters as eggs, and completes nymphal development, reproduction, and oviposition before mid-summer host senescence. At a mid-elevation (1675 m amsl) study site in 2024, overwintering eggs hatched in late April, coincident with initiation of active growth of the host Thermopsis rhombifolia (Nutt. ex Pursh) Nutt. ex Richardson. Nymphs developed in the litter under the host throughout May. In mid-May, the first adults were observed in the litter feeding on host plants. Mating began in early June, and oviposition occurred in the host’s stems a few days after mating. Adults persisted at the site until host senescence in early July. The eggs and nymphs are described, and a new state record for Nebraska is provided. Other legume hosts at a low-elevation site in Nebraska (Lupinus argenteus Pursh) and a higher-elevation site in Wyoming (L. argenteus and T. divaricarpa A. Nelson) are noted.
Gemcitabine and cisplatin induction chemotherapy followed by concurrent chemoradiotherapy for stage III–IVA nasopharyngeal carcinoma: A real-world study
Authors: Van Dang Nguyen , Viet Son Nguyen , Phu Gia Hoang 
Published: January 2025

Introduction: This study aims to evaluate the efficacy of combining induction chemotherapy with concurrent chemoradiotherapy for patients with stage III–IVA nasopharyngeal carcinoma (NPC), particularly focusing on cases associated with Epstein–Barr virus infection. The primary focus is on treatment response and disease control. Methods: This retrospective cohort study analyzed data from 81 patients with stage III–IVA NPC (excluding T3N0M0) treated with gemcitabine and cisplatin as induction chemotherapy, followed by concurrent chemoradiotherapy at the Vietnam National Cancer Hospital. Patient data and follow-up information were collected between June 2021 and June 2024, focusing on disease-free survival (DFS) as the primary outcome and secondary outcomes including factors affecting DFS and treatment-related toxicity. Results: In the initial 3-month period, 76 out of 81 patients achieved a complete response, and five patients achieved a partial response. The follow-up period averaged 18.7 ± 5.3 months, with a 2-year DFS rate of 77.6%. Key factors influencing DFS included patient age, N stage, disease stage, and treatment interruptions. Grade 3 toxicities observed included neutropenia (17.3%) and mucositis (32.1%), while grade 4 toxicity was limited to nausea (2.4%). Additionally, 2.6% of patients experienced delayed grade I–II toxicities, with some presenting grade III anorexia. Conclusion: Our findings suggest that gemcitabine and cisplatin induction chemotherapy, followed by chemoradiotherapy, may result in a high response rate and effective disease control with manageable toxicity. However, further research is needed to evaluate long-term outcomes and potential delayed adverse effects to confirm these initial observations.
Towards net-zero futures: Modular Passivhaus design as a solution to meeting national carbon targets for new housing
Authors: Estales Raine , Coley David 
Published: January 2025

Much of the world has an urgent need for housing yet simultaneously have set binding targets on reaching zero-carbon. The buildings sector is responsible for 31% of global CO2 emissions, 50% of which results from operational energy use in housing and 18% from embodied carbon emissions. Previous research has claimed that reducing both operational and embodied carbon to net zero is impossible with current building methods. In this paper, we introduce a new time-series based whole-life carbon analysis methodology for examining such problems globally. This combines operational and embodied modelling together with current and predicted grid carbon intensities. As a demonstration of the approach, a model for UK housing demand was created, predicting the carbon impact if a modular Passivhaus approach was used to meet the housing target of 300,000 homes per year. By 2050, this housing solution only consumes 90% of the total embodied and operational carbon budget allocated to new housing (545 of 604 MtCO2e). It is therefore concluded that with a modular approach, the housing target can be met whilst remaining within the carbon budget, suggesting that the approach has the potential to help solve housing need and the need to reach net zero rapidly and globally. Practical Application If the construction industry is to stay buoyant yet not undermine carbon targets it needs to move towards construction techniques that simultaneously reduce operational and embodied emissions. Although once upon a time sustainability was seen as a move in a direction, it is increasingly framed as a numeric target – zero. Hence the industry needs approaches that meet this target and accountancy methods that make this evident. This work demonstrates both.
Research on information retrieval and knowledge discovery in future learning center with virtual reality technology
Authors: Ji Ying 
Published: January 2025

To enhance user experience, search accuracy, and retrieval speed, ensuring easier access to required information for learners, this study utilized the K-means algorithm to gather extensive behavioral data from students’ virtual learning environments, including browsing, searching, and interaction information. An information retrieval model was subsequently developed, employing a vector space model to represent documents and queries. Document clustering was performed using the K-means algorithm to boost retrieval efficiency. Additionally, student clustering through the K-means algorithm led to the creation of student profiles, enabling a more precise understanding of their academic interests and needs. In terms of knowledge recommendation, a personalized recommendation process was designed. By analyzing students’ historical behaviors, a model of their knowledge interests was established, and based on this model, a tailored knowledge recommendation strategy was formulated for each student. The study results indicated that the search accuracy of virtual reality technology reached 93%, with an average response time of 2.5 seconds, surpassing traditional learning environments. This demonstrates that the proposed method provides a valuable reference for information retrieval and knowledge discovery in future learning centers.
Study on failure pressure and life prediction of defective pipelines based on numerical simulation
Authors: Huang Zhiwei , Wang Dong , Yao Zhilan , Zhao Xiuyang , Han Jianxiao 
Published: January 2025

In order to further control the running state of water supply and drainage pipeline, and provide reference for later maintenance. This study used Abaqus to construct simulation models for pipelines of X52, X65, and X80 grades under various corrosion defects, analyzing the variations in pipeline failure pressure due to corrosion depth, length, and width. Additionally, it proposed a predictive model for the failure pressure of corroded pipelines and utilized a BP neural network model to assess the remaining service life of corroded pipelines. The results show that the numerical model and strength evaluation, when compared with actual burst results, have a minimum relative error of only 1.45% in simulation. The failure pressure of flawed pipes diminishes as the corrosion depth and length increase, but remains relatively constant with corrosion width. Meanwhile, every time the corrosion defect depth coefficient increases by 0.1, the failure pressure decreases by 0.9–2.6 MPa. A formula has been fitted to the corrosion depth and length, with parameters [Formula: see text], [Formula: see text], and [Formula: see text] being 1.3141, −0.3053, and 0.5212, respectively, and a correlation coefficient R of 0.977. The BP neural network model exhibits a low mean square error of 0.014, indicating its effectiveness in calculating the remaining lifespan of corroded pipelines.
Abnormal traffic identification algorithm of large-scale network based on linear discriminant analysis
Authors: Zhang Dawei 
Published: January 2025

With the increasing emphasis on network security, monitoring and identifying abnormal network traffic has become a research hotspot in the field of network security. In order to efficiently identify abnormal network traffic, this study proposes the use of linear discriminant analysis to process the data features of network traffic. The processing method is to separate different categories of features through mapping. Then, the principal component analysis method is used for feature normalization and a new feature matrix with low fit is constructed. The features in this matrix not only have independence, but also retain the differential characteristics of the samples. Finally, by introducing support vector machines to classify the feature matrix, the anomaly recognition of the samples is completed. The experimental results show that the feature extraction algorithm proposed in this study can achieve a maximum feature separation of 95%, and not only can complete classification within 39 ms as quickly as possible, but also has an error rate of only 0.5%. The classifier can achieve a maximum recognition rate of 98.6% for different types of abnormal traffic, and the highest accuracy rate can reach 99.1%. In summary, the improved classifier proposed in the study has excellent performance and can be used in network traffic recognition applications.
Does administrative monopoly affect enterprise innovation? An empirical analysis based on the perspective of factor mismatch in China
Authors: Wang Yanfei , Yu Liangchun 
Published: January 2025

In the process of reforming from planned economy to market economy, the phenomenon of administrative monopoly has had a far-reaching impact on the development of China’s economy. Based on the perspective of factor mismatch, this paper examines the impact of administrative monopoly on enterprise innovation and its realization path, utilizing panel data from 30 Chinese provincial regions spanning 8 years from 2008 to 2015. The results of the study show that administrative monopoly significantly hinders the innovation activities of enterprises, showing a negative impact on both the output and input sides of innovation. By triggering factor mismatch, administrative monopoly has a hindering effect on enterprise innovation activities. Specifically, the intervention of administrative monopoly in the market leads to the mismatch of capital and labor factors in the market. When the interaction terms of administrative monopoly with capital mismatch and labor mismatch are added to the empirical model of administrative monopoly, it is found that the hindering effect of these interaction terms on enterprises is greatly enhanced. In the case of a single factor of capital mismatch and labor mismatch or the co-existence of both factors, their hindering effect on firms’ innovation is significantly enhanced. In addition, it is also found that capital mismatch has a more serious hindering effect on firm innovation than labor mismatch.
Ontogenetic modeling and numerical simulation of soft rock damage considering chemical correlation
Authors: Zhao Shutian , Yi Zhengnan , Peng Fanyao 
Published: January 2025

Soft rocks are significant in geo-engineering. It is important to consider the effect of chemical correlation on damage ontology modeling of soft rocks, particularly for red sandstone. Chemical correlation may significantly impact their mechanical properties and damage behavior. The objective of this study was to investigate the creep mechanical behavior of red sandstone under the influence of water-rock chemical corrosion damage using Na2SO4 solution as a chemical corrosion medium for groundwater. Solutions with different concentrations and pH values were developed, and semi-open immersion tests and uniaxial compression tests were conducted to understand the changes in porosity, longitudinal wave velocity, and long-term strength of red sandstone specimens. This analysis took into account the water-rock chemical corrosion effect. A model for the intrinsic structure of fractional-order creep damage was built and fitted for study in water-rock chemical corrosion environments. The results indicated that the porosity of the red sandstone specimens increases with higher acidity and alkalinity levels and higher concentrations of the chemical medium solution. Additionally, the longitudinal wave velocity of the specimens decreases with these same factors. The longitudinal wave velocity was 2.439 m/s at a pH of 3 in a 0.10 mol/L solution, and the porosity of the red sandstone specimens was similarly at its highest level at 9.97%. Strongly acidic and alkaline solutions cause more chemical deterioration in red sandstone. The highest chemical damage value at a concentration of 0.10 mol/L was 0.196 at a pH of 3, which was 0.024 more than at a pH of 5. The specimens experienced more severe accelerated creep deformation in strong acid and alkaline environments, resulting in varying degrees of peak stress reduction. The long-term strength was between 60% and 70% of the short-term strength. The damage intrinsic model had a tiny and well-fitted error when compared to the test data. The prediction of creep deformation caused by chemical corrosion of red sandstone in water can be achieved by creating an ontological model of red sandstone damage through numerical simulation.
Women’s mental health in the doctoral context: Protective function of the psychological capital and academic motivation
Authors: Deroncele-Acosta Angel , Norabuena-Figueroa Roger Pedro , Norabuena-Figueroa Emerson Damian 
Published: January 2025

Background: Science recognizes the anxieties, depression, stress, and “turbulences” that women face in doctoral studies, but women’s mental health in this context is still little addressed, even though it is a critical aspect for the well-being, persistence, and success of women doctoral candidates, who continue to be underrepresented in many professional fields. Objectives: The study aims to evaluate the relationship between academic motivation, psychological capital, and university academic performance (UAP) and to identify factors of female mental health success. Design: A cross-sectional, mixed-methods study was conducted with a sample of 108 female doctoral students from a university in Lima, during the first quarter of 2024. Methods: In the quantitative phase, three standardized scales were administered to assess academic motivation, psychological capital, and university academic performance (UAP). In the qualitative phase, interviews were conducted to gather relevant information on mental health. Results: The findings emphasize five important points: (1) levels and the relationship between psychological capital, academic motivation, and performance, (2) motivational behavior according to study cycles, (3) risk and protection profiles, (4) protective functions, and (5) mental health success factors. The results indicate that 36% of the women have a low level of psychological capital, 34% have a medium level of academic motivation, and 37% have a high level of UAP, likewise “Intrinsic Motivation toward Accomplishment” is the positive core where most of these women converge. Significant differences were found between the study cycles with academic motivation and “University Academic Performance,” and a significant gap between these variables. The risk profile (which limits performance) and the protective profile which allows high performance are determined; this positive profile is identified by women who present a high level of “Self-efficacy.” The study demonstrates that “Psychological Capital” and “Academic Motivation” along with the dimensions of “Self-efficacy” and “Intrinsic Motivation to Experience Stimulation” serve protective functions. Fourteen success factors for women’s mental health were identified and organized into four main approaches: Optimism, Hope, Resilience, and Self-efficacy. Conclusion: Limitations and future projections are discussed. The practical implications include implementing psychological support programs, fostering intrinsic motivation, integrating psychological assessments, establishing support networks, and making tailored curricular adjustments.
Variations in Neuromuscular Functions After Platelet-Rich Plasma and Dextrose Injections in Chronic Lateral Epicondylitis: A Randomized Controlled Study
Authors: Chen Yueh , Hong Chih-Kai , Hsu Kai-Lan , Kuan Fa-Chuan , Su Wei-Ren , Chen Yi-Ching , Hwang Ing-Shiou 
Published: January 2025

Background: Lateral epicondylitis is caused by overuse and manifests as pain, weakness, and difficulty with object manipulation. Platelet-rich plasma (PRP) and dextrose injections have shown promise in reducing pain and improving function. Hypothesis: PRP is more effective for force precision control of the extensor carpi radialis brevis (ECRB) muscle than dextrose injection for patients with chronic lateral epicondylitis (CLE). Study Design: Randomized, double-blinded clinical trial. Level of Evidence: Level 1. Methods: A total of 62 participants (25 healthy subjects and 37 CLE patients) were assigned randomly to either PRP (19) or dextrose (18) groups. Assessments included maximal voluntary contraction (MVC), wrist extension force, questionnaires, sonography, and electromyography assessments. Results: PRP and dextrose had similar effects on clinical questionnaire scores. Compared with pre-test values, only PRP demonstrated a significant increase in MVC (PRP, 75.3 ± 107.7%; P < 0.01; dextrose, 34.0 ± 66.1%; P = 0.08), and greater reduction in force fluctuations (PRP, –27.4 ± 13.3%; P < 0.01; dextrose, –5.4 ± 33.2%; P = 0.22) during post-test wrist extension. After treatment, the PRP group experienced a roughly 41.7% increase in motor units (MUs) with recruitment thresholds (Rec_TH) (pre-test, 3.67 ± 6.15% MVC; post-test, 5.20 ± 8.02% MVC; P < 0.01). The dextrose group showed no significant change (–3.74%) in MU Rec_THs (pre-test, 3.48 ± 6.80% MVC; post-test, 3.35 ± 6.62% MVC; P = 0.75). PRP increased the MU discharge rate with Rec_THs at <30% MVC, whereas dextrose administration elevated MU discharge rate with Rec_THs >20% MVC. Conclusion: PRP may be more effective than dextrose in improving neuromuscular control of the ECRB muscle, particularly for enhancing the scaling of force during wrist extension, attributed to distinct MU activation strategies. Clinical Relevance: Detailed comparison and head-to-head analysis of PRP and dextrose injections offers more options for patients considering injections.