bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous sealing and bisection of porcine renal blood vessels, ex vivo, using a continuous-wave, infrared diode laser at 1470 nm
Authors: Saeed Woheeb M. , Yoshino Jude K. , Traynham Alexandria J. , Fried Nathaniel M. 
Published: June 2024

Abstract
Electrosurgical and ultrasonic devices are used in surgical procedures for hemostatic sealing and bisection of vascular tissues. Previous benchtop studies alternatively demonstrated successful infrared laser sealing and cutting of blood vessels, in a sequential, two-step approach. This study describes a smaller, laparoscopic device compatible design, and simultaneous approach to sealing and bisection of vessels, with potential optical feedback. A 1470-nm infrared diode laser sealed and bisected 40 porcine renal arteries, ex vivo. A reciprocating, side-firing, optical fiber, housed in a transparent square quartz optical chamber (2.7 × 2.7 × 25 mm outer dimensions), delivered laser energy over an 11 mm scan length, with a range of incident powers (41–59 W) and treatment times (5–21 s). Vessel diameters ranged from 2.5 to 4.8 mm. Vessel burst pressure measurements were performed on each cut end (n = 80) with success indicated by pressures exceeding 360 mmHg. All vessel ends were successfully sealed and bisected (80/80). The highest incident power, 59 W, yielded short treatment times of 5–6 s. Peak temperatures on the external chamber surface reached 103 oC. Time to cool down to body temperature measured 37 s. Infrared lasers simultaneously seal and bisect blood vessels, with treatment times comparable to, and temperatures and cooling times lower than reported for conventional devices. Future work will focus on integrating the fiber and chamber into a standard 5-mm-outer-diameter laparoscopic device. Customization of fiber scan length to match vessel size may also reduce laser energy deposition, enabling lower peak temperatures, treatment times, and cooling times.
Long non-coding RNAs in ferroptosis and cuproptosis impact on prognosis and treatment in hepatocellular carcinoma
Authors: Wang Kun , Yang Chunqian , Xie Jingen , Zhang Xiao , Wei Ting , Yan Zhu 
Published: June 2024

AbstractFerroptosis and cuproptosis are recently discovered forms of cell death that have gained interest as potential cancer treatments, particularly for hepatocellular carcinoma. Long non-coding RNAs (lncRNAs) influence cancer cell activity by interacting with various nucleic acids and proteins. However, the role of ferroptosis and cuproptosis-related lncRNAs (FCRLs) in cancer remains underexplored. Ferroptosis and cuproptosis scores for each sample were assessed using Gene Set Variation Analysis (GSVA). Weighted correlation network analysis identified the FCRLs most relevant to our study. A risk model based on FCRLs was developed to categorize patients into high-risk and low-risk groups. We then compared overall survival (OS), tumor immune microenvironment, and clinical characteristics between these groups. The IPS score and ImmuCellAI webpage were used to predict the association between FCRL-related signatures and immunotherapy response. Finally, we validated the accuracy of FCRLs in hepatocellular carcinoma cell lines using induction agents (elesclomol and erastin). Patients in different risk subgroups showed significant differences in OS, immune cell infiltration, pathway activity, and clinical characteristics. Cellular assays revealed significant changes in the expression of AC019080.5, AC145207.5, MIR210HG, and LINC01063 in HCC cell lines following the addition of ferroptosis and cuproptosis inducers. We created a signature of four FCRLs that accurately predicted survival in HCC patients, laid the foundation for basic research related to ferroptosis and cuproptosis in hepatocellular carcinoma, and provided therapeutic recommendations for HCC patients.
Functional shocks to inflation expectations and real interest rates and their macroeconomic effects
Authors: Anderl Christina , Caporale Guglielmo Maria 
Published: June 2024

AbstractThis paper applies a recently developed method (Inoue and Rossi, 2021) to estimate functional inflation expectations and ex-ante real interest rate shocks, and then examines their macroeconomic effects in the context of a Functional Vector Autoregressive model with exogenous variables (Functional VARX). Monthly data from January 1998 to May 2023 for the US, the UK and the euro area are used for the analysis. The estimated impulse responses show significant effects of the functional shocks on both inflation and output. In addition, threshold functional local projections indicate that the effects are nonlinear and depend on central bank credibility. Further, inflation expectations shocks have similar effects to supply (demand) ones when they are driven by long-term (short-term) changes. In the presence of an inverted (steepening) real interest rate term structure, the effects are inflationary (deflationary) and expansionary (recessionary). Finally, the responses of inflation, output and the policy rate are driven primarily by the slope and curvature factors of the term structure shocks, which contain important information not captured by traditional scalar shocks.
The beating heart: artificial intelligence for cardiovascular application in the clinic
Authors: Villegas-Martinez Manuel , de Villedon de Naide Victor , Muthurangu Vivek , Bustin Aurélien 
Published: June 2024

AbstractArtificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care, automating post-processing tasks, and enhancing diagnostic precision and outcomes. The use of AI significantly streamlines the examination workflow through the reduction of acquisition and postprocessing durations, coupled with the automation of scan planning and acquisition parameters selection. This has led to a notable improvement in examination workflow efficiency, a reduction in operator variability, and an enhancement in overall image quality. Importantly, AI unlocks new possibilities to achieve spatial resolutions that were previously unattainable in patients. Furthermore, the potential for low-dose and contrast-agent-free imaging represents a stride toward safer and more patient-friendly diagnostic procedures. Beyond these benefits, AI facilitates precise risk stratification and prognosis evaluation by adeptly analysing extensive datasets. This comprehensive review article explores recent applications of AI in the realm of cardiac magnetic resonance imaging, offering insights into its transformative potential in the field.
How can optimized forest management plan regulate noise levels from wind turbines?
Authors: Heinonen Tero , Selkimäki Mari , Rana Parvez , Tokola Timo 
Published: June 2024

AbstractWind energy has emerged as one of the most economically viable renewable energy options in the transition towards a fossil-free society. In Finland, wind farms, consisting of several wind turbines, are commonly located in forested areas, prompting concerns about their potential audio-visual impacts. Despite this, research into how forests might mitigate the adverse effects of wind farms are limited. Forests can effectively serve as noise barrier, with their noise attenuation capacity varying based on the forest’s characteristics. Specifically, the attenuation level depends on the sound’s travel distance through the forest, as well as the size and density of trees. Our study findings indicate that forests can provide up to 10 dB of additional noise attenuation. This was achieved by integrating a forest structure-based model into forest planning calculations, aimed at mitigating noise pollution from wind turbines. Incorporating this noise model as a management objective significantly reduced noise levels in the pilot study area, outperforming traditional business-as-usual management strategies. Furthermore, adapting a combination of uneven-aged and even-aged forest management approaches resulted in more forested landscape, which was more effective in mitigating higher noise levels. Our results contribute important insights that, along with further research, can guide future forest planning and management towards enhanced sustainability.
Abuse disclosure and documentation in the medical record: an observational matched-cohort study in the US Military Health System
Authors: Petrini Julia M. , Carreño Patricia K. , Subramani Dhanusha , Lutgendorf Monica A. , Velosky Alexander G. , Patzkowski Michael S. , Herrera Germaine F. , Highland Krista B. 
Published: June 2024

Abstract
Aim
This study aims to evaluate the overall incidence of abuse code documentation in the medical records of patients assigned female, and the relationships between abuse code documentation and patient characteristics, healthcare utilization (e.g., overall visits, emergency room visits, opioid prescription receipts), and diagnoses received in the year following documentation.

Subject and methods
Records of patients assigned female in the medical record were evaluated in this observational, retrospective study, which received a non-research determination by the Brooke Army Medical Center Institutional Review Board (C.2019.156n). Patient cohorts included those who received an initial healthcare encounter (i.e., index visit) in which physical, sexual, or psychological abuse was documented and those who never received documentation corresponding to abuse during the study period.

Results
The probability of abuse code documentation varied across patient characteristics and medical information. Using 1:1 propensity score matching, patients who received abuse code documentation had higher post-index healthcare utilization overall, as well as increased odds of an emergency visit, receipt of a mental health diagnosis, and receipt of an opioid prescription within a year of the index date.

Conclusion
These findings highlight the need for system-level interventions to ensure standardized screening and care pathways for those who experience abuse. Such programs could mitigate barriers to patient disclosure of abuse and support patient-centered policies.
Factors influencing variation in reproduction in invasive species: a case study of the Asian shore crab Hemigrapsus sanguineus
Authors: Griffen Blaine D. , Bolander Mikayla , Fletcher Laura S. , Luckett Johanna , Repetto Michele F. , Smith Nanette , Stancil Carter , Toscano Benjamin J. 
Published: June 2024

AbstractReproductive success is a strong determinant of invasive species success. It is common for studies on invasive species to assess reproduction by measuring size-specific fecundity and scaling this up using population size or densities. Yet, reproductive success is influenced by numerous factors that are not accounted for in such calculations. We examined the influence of several factors on fecundity (clutch size) and egg size in the Asian shore crab Hemigrapsus sanguineus, including body size, spatial variation throughout the invaded range, season, fertilization success, brood loss, and diet. We show that all of these factors influence reproduction simultaneously within the invaded North American range of this species, though the relative importance of these different factors varied across sites or sampling times. Our study demonstrates that numerous factors may influence the reproductive success of invasive species and that studies that rely on fecundity measured at a single place and time, or that ignore factors such as offspring quality or brood loss, may provide a skewed picture of reproduction, and thus of potential invasive success.
Myocardial performance imaging for the early identification of cardiac dysfunction in neonates with sepsis
Authors: Sumbaraju Sudheshna Lalitha , Nayak Krishnananda , Prabhu Sridevi , Nayak Vidya , Prabhu K Prathiksha , Lewis Leslie Edward 
Published: June 2024

Abstract
Purpose
The assessment of cardiac performance in septic new-borns is crucial for detecting hemodynamic instability and predicting outcome. The aim of the study is to assess myocardial performance in neonates with sepsis for the early identification of cardiac dysfunction.

Patients and methods
A case control study was carried out from September 2022 to May 2023 at the Neonatal Intensive care unit, Kasturba Medical College, Manipal. A total of 68 neonates were included in the study, with 33 females and 35 males. The study population was further subdivided into 3 groups namely preterm septic neonates (n = 21), term septic neonates (n = 10) and non-septic healthy controls (n = 37). The cardiac structure and function were assessed using conventional method, Tissue Doppler imaging (Sm) and speckle tracking echocardiography (GLS). The study was approved by the Institutional Ethics Committee at Kasturba Medical College, Manipal (approval number IEC: 90/2022). The CTRI registration number for the study is CTRI/2022/09/045437 and was approved on September 12, 2022. Prior to the neonate’s enrolment, informed consent was obtained from their mothers or legal guardians.

Results
Out of the total 68 neonates, 31 were cases and 37 were controls which included 33 females and 35 males. LV systolic function was not statistically significant between cases and controls. E/A ratio of the mitral valve was significantly lower in septic newborns than in healthy neonates. (1.01 ± 0.35 vs 1.18 ± 0.31, p < 0.05) preterm neonates showed significantly lower Lateral E’ and RV E’ velocities than term neonates. TAPSE was significantly lower in septic preterm neonates. (8.61 ± 1.28 vs. 10.7 ± 2.11, p < 0.05) No significant difference was noted in the Myocardial Performance Index between septic neonates and healthy neonates. LV Global Longitudinal Strain was slightly lower in preterm septic neonates than in term neonates with sepsis.

Conclusion
Septic newborns are associated with LV diastolic dysfunction, RV systolic dysfunction and substantially higher pulmonary systolic pressures.
Pharmacological Modulation of the Cytosolic Oscillator Affects Glioblastoma Cell Biology
Authors: Wagner Paula M. , Fornasier Santiago J. , Guido Mario E. 
Published: June 2024

AbstractThe circadian system is a conserved time-keeping machinery that regulates a wide range of processes such as sleep/wake, feeding/fasting, and activity/rest cycles to coordinate behavior and physiology. Circadian disruption can be a contributing factor in the development of metabolic diseases, inflammatory disorders, and higher risk of cancer. Glioblastoma (GBM) is a highly aggressive grade 4 brain tumor that is resistant to conventional therapies and has a poor prognosis after diagnosis, with a median survival of only 12–15 months. GBM cells kept in culture were shown to contain a functional circadian oscillator. In seeking more efficient therapies with lower side effects, we evaluated the pharmacological modulation of the circadian clock by targeting the cytosolic kinases glycogen synthase kinase-3 (GSK-3) and casein kinase 1 ε/δ (CK1ε/δ) with specific inhibitors (CHIR99021 and PF670462, respectively), the cryptochrome protein stabilizer (KL001), or circadian disruption after Per2 knockdown expression in GBM-derived cells. CHIR99021-treated cells had a significant effect on cell viability, clock protein expression, migration, and cell cycle distribution. Moreover, cultures exhibited higher levels of reactive oxygen species and alterations in lipid droplet content after GSK-3 inhibition compared to control cells. The combined treatment of CHIR99021 with temozolomide was found to improve the effect on cell viability compared to temozolomide therapy alone. Per2 disruption affected both GBM migration and cell cycle progression. Overall, our results suggest that pharmacological modulation or molecular clock disruption severely affects GBM cell biology.
A novel hybrid Artificial Gorilla Troops Optimizer with Honey Badger Algorithm for solving cloud scheduling problem
Authors: Hussien Abdelazim G. , Chhabra Amit , Hashim Fatma A. , Pop Adrian 
Published: June 2024

AbstractCloud computing has revolutionized the way a variety of ubiquitous computing resources are provided to users with ease and on a pay-per-usage basis. Task scheduling problem is an important challenge, which involves assigning resources to users’ Bag-of-Tasks applications in a way that maximizes either system provider or user performance or both. With the increase in system size and the number of applications, the Bag-of-Tasks scheduling (BoTS) problem becomes more complex due to the expansion of search space. Such a problem falls in the category of NP-hard optimization challenges, which are often effectively tackled by metaheuristics. However, standalone metaheuristics generally suffer from certain deficiencies which affect their searching efficiency resulting in deteriorated final performance. This paper aims to introduce an optimal hybrid metaheuristic algorithm by leveraging the strengths of both the Artificial Gorilla Troops Optimizer (GTO) and the Honey Badger Algorithm (HBA) to find an approximate scheduling solution for the BoTS problem. While the original GTO has demonstrated effectiveness since its inception, it possesses limitations, particularly in addressing composite and high-dimensional problems. To address these limitations, this paper proposes a novel approach by introducing a new updating equation inspired by the HBA, specifically designed to enhance the exploitation phase of the algorithm. Through this integration, the goal is to overcome the drawbacks of the GTO and improve its performance in solving complex optimization problems. The initial performance of the GTOHBA algorithm tested on standard CEC2017 and CEC2022 benchmarks shows significant performance improvement over the baseline metaheuristics. Later on, we applied the proposed GTOHBA on the BoTS problem using standard parallel workloads (CEA-Curie and HPC2N) to optimize makespan and energy objectives. The obtained outcomes of the proposed GTOHBA are compared to the scheduling techniques based on well-known metaheuristics under the same experimental conditions using standard statistical measures and box plots. In the case of CEA-Curie workloads, the GTOHBA produced makespan and energy consumption reduction in the range of 8.12–22.76% and 6.2–18.00%, respectively over the compared metaheuristics. Whereas for the HPC2N workloads, GTOHBA achieved 8.46–30.97% makespan reduction and 8.51–33.41% energy consumption reduction against the tested metaheuristics. In conclusion, the proposed hybrid metaheuristic algorithm provides a promising solution to the BoTS problem, that can enhance the performance and efficiency of cloud computing systems.
Disparities in Access to Mental Health Services Among Children Diagnosed with Anxiety and Depression in the United States
Authors: Mahmood Asos , Kedia Satish , Arshad Hassan , Mou Xichen , Dillon Patrick J. 
Published: June 2024

AbstractChild and adolescent mental health are major public health concerns in the US. Overall, 20% of US children have a reported mental health condition, while an estimated 40% will be diagnosed with one by age 18. Despite these concerns, little is known about factors associated with access to mental health services among children and adolescents. We analyzed data from a sample of 6655 children (aged 6 to 17 years) with either anxiety and/or depression drawn from the 2020–2021 National Survey of Children’s Health (NSCH). A multivariable logistic regression model was fit to investigate predisposing, enabling, and need factors associated with caregiver’s (i.e., parent or other guardian) perceived access to mental health services for their children. Approximately 50.8% of caregivers perceived obtaining mental health services for their children to be somewhat difficult, very difficult, or impossible. Children meeting criteria for having a medical home had lower odds of experiencing such difficulties (adjusted [a]OR = 0.38; 95% CI: 0.30–0.49). Further, compared to children who sometimes or never had health insurance coverage for mental or behavioral health needs, children who were always insured (aOR: 0.19; 95% CI 0.14, 0.25) and those who usually had coverage (aOR: 0.38; 95% CI 0.28, 0.51) had lower odds of experiencing perceived difficulties in obtaining care. The results indicate several enabling and need predictors of perceived access to mental health services––highlighting potential structural barriers to care access. Efforts to address access challenges should adopt a multifaceted approach and be tailored to families living in poverty, those with limited health coverage, and minoritized children with less than optimal general health.
Occasional Reinforced Extinction as a Method for Relapse Prevention: A Critical Systematic Review and Future Directions
Authors: Quintero María J. , López Francisco J. , Vadillo Miguel A. , Morís Joaquín 
Published: June 2024

Abstract
Introduction
Extinction is more vulnerable than the original acquisition memory, as relapse phenomena have systematically shown in the literature with different species and procedures. One strategy potentially useful to mitigate relapse is occasional reinforced extinction (ORE). In contrast to a standard extinction procedure, this strategy consists of the inclusion of a gradual and sparse number of conditioned stimulus–unconditioned stimulus pairings within the extinction phase. Here, we provide a comprehensive review of the available literature on ORE.

Method
We conducted a literature search using three databases (Web of Science, Scopus, and PsycInfo) in July 2022, with an additional citation search. We collected data on different variables of interest, like the relapse phenomena being studied, the outcome measures, or the specific effects obtained.

Results
A total of 350 studies were identified from the main database search, including 10 in the review. Five additional studies from the citation search were also included. The final sample consisted of 15 empirical reports. The observed procedural variability makes it difficult to evaluate the effectiveness of ORE to reduce different forms of relapse as the strategy has not consistently shown a general advantage over standard extinction.

Conclusion
The current evidence assessing the effectiveness of ORE does not appear to be consistent, although there are plenty theoretical studies recommending and discussing the potential effectiveness of such technique. Moreover, the lack of conclusive laboratory evidence calls into question how general the potential benefits of its use in clinical settings would be.
Old-Keynesianism in the New Keynesian Model
Authors: van der Kwaak Christiaan 
Published: June 2024

AbstractI investigate an ‘old Keynesian’ fiscal policy in which government spending endogenously responds to inflation and the output gap when the nominal interest rate is pegged at the ZLB. I do so within a standard Representative Agent New Keynesian model (RANK), as well as a two-period Overlapping Generations New Keynesian model (OLG-NK). For both model versions, I find that the equilibrium values for inflation and the output gap under a standard Taylor rule regime can be replicated under the ‘old Keynesian’ regime. However, a unique stable countercyclical equilibrium is only feasible within the OLG-NK model and crucially depends on the pension system.