bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation into the influence of mild hypothermia on regulating ferroptosis through the P53-SLC7A11/GPX4 signaling pathway in sepsis-induced acute lung injury
Authors: Tao Liujun , Xu Jie , Jiang Liangyan , Hu Juntao , Tang Zhanhong 
Published: January 2025

Abstract

Background
Sepsis-induced acute lung injury (S-ALI) significantly contributes to unfavorable clinical outcomes. Emerging evidence suggests a novel role for ferroptosis in the pathophysiology of ALI, though the precise mechanisms remain unclear. Mild hypothermia (32–34 °C) has been shown to inhibit inflammatory responses, reduce oxidative stress, and regulate metabolic processes. P53 has been reported to downregulate the transcriptional activity of solute carrier family 7 member 11 (SLC7A11), thereby limiting cystine uptake. This reduction in cystine availability compromises the activity of Glutathione peroxidase 4 (GPX4), a cystine-dependent enzyme, ultimately increasing cellular susceptibility to ferroptosis. However, it remains unclear whether mild hypothermia exerts protective effects through the P53-SLC7A11/GPX4 signaling pathway. This study investigates the influence of mild hypothermia on ferroptosis mediated by the P53-SLC7A11/GPX4 pathway in S-ALI.

Methods
This study utilized both in vivo and in vitro models. In the vivo model, 64 Sprague–Dawley rats were employed, with 40 analyzed for survival outcomes. Sepsis was induced using the cecum ligation and puncture (CLP) method, after which rats were subjected to either normothermic (36–38 °C) or mild hypothermic (32–34 °C) conditions for a duration of 10 h. Twelve hours post-surgery, blood samples, bronchoalveolar lavage fluid, and lung tissue samples were harvested for histological analysis, measurement of inflammatory markers, wet/dry ratios, blood gas analysis, assessment of oxidative stress and ferroptosis, Western blotting, and RT-qPCR analysis. In the in vitro model, RLE-6TN cells were exposed to lipopolysaccharide (LPS) for 24 h under normothermic and mild hypothermic conditions. These cells were then evaluated for cell viability, inflammatory markers, oxidative stress levels, ferroptosis markers, as well as Western blot and RT-qPCR analyses.

Results
CLP-induced sepsis led to elevated levels of inflammatory markers, increased lung injury scores, and heightened oxidative stress markers. These detrimental effects were significantly ameliorated by mild hypothermia. Furthermore, mild hypothermia reversed the modified expression of P53, SLC7A11, and GPX4 signaling molecules. Notably, mild hypothermia also improved the 5-day survival rate of CLP rats.

Conclusion
Mild hypothermia attenuates S-ALI and modulates ferroptosis through the P53-SLC7A11/GPX4 signaling pathway.
Cryptocurrency returns and cryptocurrency uncertainty: a time–frequency analysis
Authors: Ah Mand Abdollah 
Published: January 2025

Abstract
This study investigates how the uncertainty surrounding cryptocurrency affects cryptocurrency returns (CR) by employing various wavelet techniques. We concentrate on the recently published cryptocurrency uncertainty index (UCRY) and the top eight cryptocurrencies by market capitalization from December 30, 2013, to June 30, 2023. Our results showed that the UCRY index strongly predicted CR. In particular, the UCRY index has a leading position at all frequencies for all cryptocurrencies in our sample. Additionally, when the impacts of economic policy uncertainty and the volatility index are eliminated, the significant comovement of UCRY-CR remains unchanged for the short-, medium-, and long-term investment horizons. Therefore, we conclude that the UCRY-CR relationship is both persistent and pervasive. Our study contributes toward the literature on the relationships between cryptocurrencies and market uncertainties, as well as toward investors who use uncertainty indices to design investment strategies for their portfolios.
Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework
Authors: Gao Ruize , Cui Shaoze , Wang Yu , Xu Wei 
Published: January 2025

Abstract
Financial distress prediction (FDP) is a critical area of study for researchers, industry stakeholders, and regulatory authorities. However, FDP tasks present several challenges, including high-dimensional datasets, class imbalances, and the complexity of parameter optimization. These issues often hinder the predictive model’s ability to accurately identify companies at high risk of financial distress. To mitigate these challenges, we introduce FinMHSPE—a novel multi-heterogeneous self-paced ensemble (MHSPE) FDP learning framework. The proposed model uses pairwise comparisons of data from multiple time frames combined with the maximum relevance and minimum redundancy method to select an optimal subset of features, effectively resolving the high dimensionality issue. Furthermore, the proposed framework incorporates the MHSPE model to iteratively identify the most informative majority class data samples, effectively addressing the class imbalance issue. To optimize the model’s parameters, we leverage the particle swarm optimization algorithm. The robustness of our proposed model is validated through extensive experiments performed on a financial dataset of Chinese listed companies. The empirical results demonstrate that the proposed model outperforms existing competing models in the field of FDP. Specifically, our FinMHSPE framework achieves the highest performance, achieving an area under the curve (AUC) value of 0.9574, considerably surpassing all existing methods. A comparative analysis of AUC values further reveals that FinMHSPE outperforms state-of-the-art approaches that rely on financial features as inputs. Furthermore, our investigation identifies several valuable features for enhancing FDP model performance, notably those associated with a company’s information and growth potential.
Cardiovascular safety of 5-fluorouracil and capecitabine in colorectal cancer patients: real-world evidence
Authors: Wong Chun-Ka , Ho Isaac , Choo Ali , Lau Rachel , Ma Ting-Fung , Chiu Alston Conrad Ho-On , Lam Tsun-Ho , Lin Minqing , Leung Ricky Wang-Hei , Chor-Cheung Tam Frankie , Foo Dominic Chi Chung , Tse Hung-Fat 
Published: January 2025

Abstract

Background
Fluoropyrimidines, including 5-fluorouracil and capecitabine, are the most common chemotherapeutic agents for colorectal carcinoma. Although previous studies have suggested varying degrees of cardiotoxicity with these drugs, there is a notable lack of large-scale investigations with appropriate control groups. This study aimed to evaluate cardiovascular outcome among colorectal carcinoma patients treated with fluoropyrimidines.

Methods
A retrospective propensity score- matched cohort study was conducted in patients diagnosed with colorectal carcinoma between January 1, 1993 and December 31, 2021 at public hospitals in Hong Kong. Cardiovascular outcomes in patients prescribed fluoropyrimidines were compared with controls. Further analyses to compare 5-fluroracil and capecitabine were performed.

Results
A total of 51,888 colorectal carcinoma patients were identified. After 1:1 propensity score matching, 21,216 patients were included in the final analysis, with 10,608 patients in each group. 1.06% patients experienced a major adverse cardiovascular event (MACE) at 1 year. There was no significant difference in MACE risk between the two groups (HR 0.91, 95% confidence interval (95%CI): 0.70–1.18, p = 0.46). Risk of cardiovascular death was similar between the two groups (HR 1.05, 95%CI: 0.69–1.60, p = 0.82). Subgroup analysis did not demonstrate a statistically significant elevated risk of MACE during fluoropyrimidine use in high-risk patient groups. Further comparison of 5-fluorouracil and capecitabine did not reveal a difference in MACE (0.80% vs. 0.98%; HR 1.09, 95%CI: 0.64–1.85, p < 0.75).

Conclusion
Fluoropyrimidine use in patients with colorectal carcinoma did not increase the risk of MACE, cardiovascular death, or other specific cardiovascular conditions. There was no significant difference in cardiovascular risk between 5-fluorouracil and capecitabine.

Graphical Abstract
International perspective on social cognition in schizophrenia: current stage and the next steps
Authors: Corbera Silvia , Kurtz Matthew M. , Achim Amélie M. , Agostoni Giulia , Amado Isabelle , Assaf Michal , Barlati Stefano , Bechi Margherita , Cavallaro Roberto , Ikezawa Satoru , Okano Hiroki , Okubo Ryo , Penadés Rafael , Uchino Takashi , Vita Antonio , Yamada Yuji , Bell Morris D 
Published: January 2025

Abstract
In the last decades, research from cognitive science, clinical psychology, psychiatry, and social neuroscience has provided mounting evidence that several social cognitive abilities are impaired in people with schizophrenia and contribute to functional difficulties and poor clinical outcomes. Social dysfunction is a hallmark of the illness, and yet, social cognition is seldom assessed in clinical practice or targeted for treatment. In this article, 17 international experts, from three different continents and six countries with expertise in social cognition and social neuroscience in schizophrenia, convened several meetings to provide clinicians with a summary of the most recent international research on social cognition evaluation and treatment in schizophrenia, and to lay out primary recommendations and procedures that can be integrated into their practice. Given that many extant measures used to assess social cognition have been developed in North America or Western Europe, this article is also a call for researchers and clinicians to validate instruments internationally and we provide preliminary guidance for the adaptation and use of social cognitive measures in clinical and research evaluations internationally. This effort will assist promoting scientific rigor, enhanced clinical practice, and will help propel international scientific research and collaboration and patient care.
Subacute Thyroiditis—Is it Really Linked to Viral Infection?
Authors: Orth Hans Martin , Killer Alexander , Gliga Smaranda , Böhm Michael , Feldt Torsten , Jensen Björn-Erik O , Luedde Tom , Kaiser Rolf , Pirkl Martin 
Published: January 2025

Abstract

Context
Subacute thyroiditis (SAT) is a painful inflammatory disorder of the thyroid gland, which—after a phase of thyrotoxicosis—leads to transient, or less frequently permanent hypothyroidism. Apart from a strong association with specific human leukocyte antigen alleles, the causes are uncertain. Viral disease has been hypothesized as a trigger, with enteroviruses, namely echovirus and coxsackievirus, showing a seasonal distribution that coincides with the incidence of SAT.

Objective
In the first year of the COVID-19 pandemic, strict hygiene measures led to a sharp decline in infections and thus offered the opportunity to test this hypothesis.

Methods
We analyzed national registry data of hospitalized patients from Germany during the years 2015 to 2022 (Federal Statistical Office [Destatis], Wiesbaden, Germany) and surveillance data on infectious diseases from the same years (clinical-virology.net and RKI). Statistical analysis includes modeling of seasonality by month, polynomial autoregression, and Granger causality to assess dependency of future SAT frequencies from past ones, and association of virus incidence to SAT frequency, respectively.

Results
Our study confirms previously described epidemiological findings with higher incidence in women and a seasonal peak in late summer coinciding with the seasonality of enteroviruses until 2019. In 2020, the pattern remained unchanged, except for the marked reduction of enteroviruses and other pathogens (except SARS-CoV-2) due to hygienic measures. Moreover, the SAT seasonality in the years 2021 and 2022 was apparently unaltered through the COVID-19 pandemic.

Conclusion
Our study provides strong evidence that despite their seasonal pattern, Echoviruses and Coxsackieviruses are not the cause of SAT. Moreover, no other analyzed virus (including Influenza A and B, Parainfluenza, Rhinovirus, Human Coronaviruses including SARS-CoV-2) showed any association.
A Retrospective Regression Analysis on the Dynamic Shooting Scores of SWAT Operators
Authors: Oliver Kailea , Jiroutek Michael R. , Labhart Jake , Bunn Jennifer A. 
Published: January 2025

ABSTRACT

Introduction
Special weapons and tactical (SWAT) operators need to perform intense physical activity and fire their weapons with accuracy. Sport performance attributes have been found to affect the performance of SWAT operators during physical assessments, but little research has been devoted to dynamic marksmanship. This study evaluated the relationship between age, personal shooting practice, years of law enforcement experience, and years of SWAT experience with dynamic shooting accuracy.

Methods
SWAT operators (n = 195) were grouped by age, self-report of previous experience in law enforcement and SWAT, and shooting practice behaviors (rounds fired per month). Operators completed several dynamic shooting drills (e.g., sprinting, pro-agility, jumping) in which they fired three rounds upon completion. The accuracy and time it took to fire all shots were used to calculate a dynamic shooting score for each firearm (pistol and rifle) for each assessment. A regression analysis was completed to assess the impact of age, experience, and shooting practice on dynamic shooting.

Results
As compared to the ≤30-yr-old age group, each of the older age groups showed a decrease in overall shooting score on average. Compared to those with ≤5 yr of SWAT experience, both groups with more experience showed an increase in overall shooting score on average. Those firing more than 250 rounds monthly (compared to ≤250) showed an increase in overall shooting score on average. Years in law enforcement was not found to be associated with overall shooting score.

Conclusion
SWAT experience and rounds fired per month were found to have the most impact on dynamic shooting performance. Early identification of officers to be brought into special operations would allow them to gain experience while younger, optimizing factors for dynamic marksmanship. Operators should maximize both monthly practice with their primary weapon and dynamic movement training to optimize development of accurate dynamic shooting capabilities.
Subcoalition Cluster Analysis: A New Method for Modeling Conflict in Organizations
Authors: Ganz Scott C. , Schiff Daniel S. 
Published: January 2025

The renewed interest among managers and management researchers in stakeholder governance has also underscored the shortage of quantitative methods available for studying business firms as political systems. A critical problem for researchers applying coalition-based theories of organizational politics to observational data is that the units of analysis, coined “subcoalitions,” are often unobservable. This paper introduces subcoalition cluster analysis (SCA) as a new computational framework for analyzing intrafirm conflict that permits researchers to model groups of heterogeneous actors in terms of a smaller set of representative subcoalitions. The SCA approach to identifying latent fault-lines among groups of actors is based on widely held ideas in management research about the structure of intrafirm coalition politics, is computationally practicable in settings with many alternatives or actors, and can be straightforwardly applied to observational settings with incomplete data on actor preferences. We then apply SCA to two cases in which an organization characterized by multiple, partially inconsistent goals and stakeholders with heterogeneous preferences face a politically contested decision. In both cases, we first analyze preference data using SCA to identify the subcoalition structure that best characterizes the set of actors in the organization. We then use the SCA output as a dependent variable in an analysis of the predictors of subcoalition membership in the first case and as an independent variable in an analysis of the changing patterns of social influence in the second. This paper was accepted by Lamar Pierce, organizations. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2020.00013 .
Random sparse sampling and compressive sensing based reconstruction for computational optical scanning holography
Authors: Yoneda Naru , Sugimoto Masamitsu , Saita Yusuke , Matoba Osamu , Nomura Takanori 
Published: January 2025

Optical scanning holography (OSH) is one of the single-pixel imaging (SPI) techniques. Although OSH can obtain an incoherent hologram using a single-pixel detector, OSH needs a complicated optical setup to generate Fresnel zone patterns (FZPs). Computational OSH (COSH) has been proposed to overcome the complexity of OSH by using a spatial light modulator (SLM). However, the measurement time of COSH is restricted by the refresh rate of an SLM for changing FZPs. While the number of measurements can be reduced by applying compressive sensing in conventional OSH, the scanning trajectory of FZPs is limited to the spiral manner because of the requirement of sequential scanning using galvo mirrors. The spiral scanning trajectory induces undesired artifacts in reconstructed images under sparse sampling conditions. If holograms can be randomly subsampled, these undesired artifacts can be reduced. In this paper, under COSH’s configuration, random sparse sampling of a hologram is proposed to overcome the problem of the limited trajectory of FZPs by discretely displaying FZPs on an SLM. In addition, compressive sensing is applied to reconstruct an object image from a randomly sampled hologram. The feasibility of the proposed method is confirmed numerically and experimentally. The experimental results indicate that the proposed method can identify the object even when the hologram is randomly subsampled with a sampling rate of 5%.
Ultrasound renal denervation in hypertensive patients: A systematic review and meta-analysis
Authors: Ramadhan Roy Novri , Rampengan Derren David Christian Homenta , Gunawan Felicia Angelica , Nathania  , Willyanto Sebastian Emmanuel , Yamada Hiroyuki , Thaha Mochammad , Suryantoro Satriyo Dwi , Empitu Maulana Antiyan 
Published: January 2025

Introduction
Hypertension is the leading noncommunicable disease case affecting 1.28 billion individuals worldwide, with most cases located in low- and middle-income countries. While there are numerous techniques for treating mild to moderate hypertension, properly controlling severe or resistant hypertension poses substantial challenges. Ultrasound-based renal denervation (uRDN) has emerged as a promising non-pharmacological approach. This study aims to investigate the safety and efficacy of uRDN in hypertensive patients.

Methods
The literature search across PubMed, ScienceDirect, BMJ Journals, ProQuest, and Springer databases yielded 419 articles. A total of 395 articles were filtered, leading to 24 articles assessed for eligibility and overall analysis, which resulted in eight included studies for quantitative synthesis. Quality appraisal used RoB 2.0, while meta-analysis used RevMan 5.4.

Results
Our analysis results indicated significant improvements in 24-hour, daytime, and home ambulatory blood pressure measurements, favoring the uRDN over control. The mean difference (MD) for 24-hour measurements was -0.84 mmHg [95% CI -1.14, -0.55; p < 0.00001], for daytime measurements -1.27 mmHg [95% CI -1.59, -0.95; p < 0.00001], and for home measurements -1.98 mmHg [95% CI -2.32, -1.64; p < 0.00001], with moderate heterogeneity observed. Office ambulatory measurements also favored the uRDN with a significant MD of -1.51 mmHg [95% CI -1.91; -1.10; p < 0.00001]. Funnel plots revealed some outliers, indicating true heterogeneity among the studies.

Conclusion
uRDN was associated with a significant reduction (-2.32 to -0.10 mmHg) in blood pressure of hypertensive patients.
Phytochemical analysis and biological activities of solvent extracts and silver nanoparticles obtained from Woodwardia unigemmata (Makino) Nakai
Authors: Shah Syed Ahsan , Gul Alia , Shah Ghulam Mujtaba , Wizrah Maha Saeed Ibrahim , Khalid Awais , Munir Mamoona , Maqbool Zainab , Aftab Arusa , Alrahili Mazen R. , Siddiqua Ayesha , Begum M. Yasmin 
Published: January 2025

Multidrug resistant bacteria are causing health problems and economic burden worldwide; alternative treatment options such as natural products and nanoparticles have attained great attention recently. Therefore, we aimed to determine the phytochemicals, antibacterial potential, and anticancer activity of W. unigemmata. Extracts in different organic and inorganic solvents were prepared, silver nanoparticles were prepared using the green synthesis method. Phytochemicals and antioxidant activity was determined spectrophotometry, anticancer potential was determined against gastric cancer and normal gastric epithelial cells using CCK8 and colony formation assays W. unigemmata was found to have a significant enrichment of various phytochemicals including flavonoids, terpenoids, alkaloids, carotenoids, tannins, saponins, quinines, carbohydrates, phenols, coumarins and phlobatanins. Among them phenolics (5289.89 ± 112.67) had high enrichment followed by reducing sugar (851.53 ± 120.15), flavonoids (408.28 ± 20.26) and ascorbic acid (347.64 ± 16.32), respectively. The extracts prepared in organic solvents showed strong antibacterial activity against P. aeruginosa (chloroform, 13.66±0.88, ethyl acetate, 8.66±4.33, methyl alcohol, 13.33±1.66, N-hexane, 12.33±0.88) and S. aureus (chloroform, 15±0.57, ethyl acetate, 16.33±0.33, methyl alcohol, 17.66±0.33 and N-hexane, 16.33±0.33). Aqueously prepared AgNPs showed remarkable activity against P. aeruginosa follwed by E. coli, 17.66 ± 1.85, S. aureus, 16.00 ± 1.73, K. pneumoniae, 14.33 ± 1.20, respectively. The ethanolic extracts (500 μg, 1000 μg, 2000 μg) of the W. unigemmata were found to have cytotoxicity against both gastric cancer (AGS and SGC7901) and normal cell lines (GES-1); a significant cellular proliferation arrest was observed.
These results suggest that W. Unigemmata contains numerous bioactive phytochemicals and can be useful as a drug against MDR bacterial strains. These biomolecules covering AgNPs may enhance their biological activities, which can be employed in the treatment of various microbial infections.