bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment methods in laparoscopic colorectal surgery: a systematic review of available instruments
Authors: van Zwieten Tom , Okkema Sietske , van Det Marc , Pereboom Ilona , Veeger Nic , Pierie Jean-Pierre 
Published: April 2023

Abstract
Background

Laparoscopic surgery has become the golden standard for many procedures, requiring new skills and training methods. The aim of this review is to appraise literature on assessment methods for laparoscopic colorectal procedures and quantify these methods for implementation in surgical training.

Materials and methods
PubMed, Embase and Cochrane Central Register of Controlled Trials databases were searched in October 2022 for studies reporting learning and assessment methods for laparoscopic colorectal surgery. Quality was scored using the Downs and Black checklist. Included articles were categorized in procedure-based assessment methods and non-procedure-based assessment methods. A second distinction was made between capability for formative and/or summative assessment.

Results
In this systematic review, nineteen studies were included. These studies showed large heterogeneity despite categorization. Median quality score was 15 (range 0–26). Fourteen studies were categorized as procedure-based assessment methods (PBA), and five as non-procedure-based assessment methods. Three studies were applicable for summative assessment.

Conclusions
The results show a considerable diversity in assessment methods with varying quality and suitability. To prevent a sprawl of assessment methods, we argue for selection and development of available high-quality assessment methods. A procedure-based structure combined with an objective assessment scale and possibility for summative assessment should be cornerstones.
Comprehensive circulating microRNA profile as a supersensitive biomarker for early-stage lung cancer screening
Authors: Inagaki Masayasu , Uchiyama Makoto , Yoshikawa-Kawabe Kanae , Ito Masafumi , Murakami Hideki , Gunji Masaharu , Minoshima Makoto , Kohnoh Takashi , Ito Ryota , Kodama Yuta , Tanaka-Sakai Mari , Nakase Atsushi , Goto Nozomi , Tsushima Yusuke , Mori Shoich , Kozuka Masahiro , Otomo Ryo , Hirai Mitsuharu , Fujino Masahiko , Yokoyama Toshihiko 
Published: April 2023

Abstract
Purpose
Less-invasive early diagnosis of lung cancer is essential for improving patient survival rates. The purpose of this study is to demonstrate that serum comprehensive miRNA profile is high sensitive biomarker to early-stage lung cancer in direct comparison to the conventional blood biomarker using next-generation sequencing (NGS) technology combined with automated machine learning (AutoML).

Methods
We first evaluated the reproducibility of our measurement system using Pearson’s correlation coefficients between samples derived from a single pooled RNA sample. To generate comprehensive miRNA profile, we performed NGS analysis of miRNAs in 262 serum samples. Among the discovery set (57 patients with lung cancer and 57 healthy controls), 1123 miRNA-based diagnostic models for lung cancer detection were constructed and screened using AutoML technology. The diagnostic faculty of the best performance model was evaluated by inspecting the validation samples (74 patients with lung cancer and 74 healthy controls).

Results
The Pearson’s correlation coefficients between samples derived from the pooled RNA sample ≥ 0.98. In the validation analysis, the best model showed a high AUC score (0.98) and a high sensitivity for early stage lung cancer (85.7%, n = 28). Furthermore, in comparison to carcinoembryonic antigen (CEA), a conventional blood biomarker for adenocarcinoma, the miRNA-based model showed higher sensitivity for early-stage lung adenocarcinoma (CEA, 27.8%, n = 18; miRNA-based model, 77.8%, n = 18).

Conclusion
The miRNA-based diagnostic model showed a high sensitivity for lung cancer, including early-stage disease. Our study provides the experimental evidence that serum comprehensive miRNA profile can be a highly sensitive blood biomarker for early-stage lung cancer.
Gaussian process hydrodynamics
Authors: Owhadi H. 
Published: April 2023

AbstractWe present a Gaussian process (GP) approach, called Gaussian process hydrodynamics (GPH) for approximating the solution to the Euler and Navier-Stokes (NS) equations. Similar to smoothed particle hydrodynamics (SPH), GPH is a Lagrangian particle-based approach that involves the tracking of a finite number of particles transported by a flow. However, these particles do not represent mollified particles of matter but carry discrete/partial information about the continuous flow. Closure is achieved by placing a divergence-free GP prior ξ on the velocity field and conditioning it on the vorticity at the particle locations. Known physics (e.g., the Richardson cascade and velocity increment power laws) is incorporated into the GP prior by using physics-informed additive kernels. This is equivalent to expressing ξ as a sum of independent GPs ξl, which we call modes, acting at different scales (each mode ξl self-activates to represent the formation of eddies at the corresponding scales). This approach enables a quantitative analysis of the Richardson cascade through the analysis of the activation of these modes, and enables us to analyze coarse-grain turbulence statistically rather than deterministically. Because GPH is formulated by using the vorticity equations, it does not require solving a pressure equation. By enforcing incompressibility and fluid-structure boundary conditions through the selection of a kernel, GPH requires significantly fewer particles than SPH. Because GPH has a natural probabilistic interpretation, the numerical results come with uncertainty estimates, enabling their incorporation into an uncertainty quantification (UQ) pipeline and adding/removing particles (quanta of information) in an adapted manner. The proposed approach is suitable for analysis because it inherits the complexity of state-of-the-art solvers for dense kernel matrices and results in a natural definition of turbulence as information loss. Numerical experiments support the importance of selecting physics-informed kernels and illustrate the major impact of such kernels on the accuracy and stability. Because the proposed approach uses a Bayesian interpretation, it naturally enables data assimilation and predictions and estimations by mixing simulation data and experimental data.
The faunal Ponto-Caspianization of central and western European waterways
Authors: Soto Ismael , Cuthbert Ross N. , Ricciardi Anthony , Ahmed Danish A. , Altermatt Florian , Schäfer Ralf B. , Archambaud-Suard Gaït , Bonada Núria , Cañedo-Argüelles Miguel , Csabai Zoltán , Datry Thibault , Dick Jaimie T. A. , Floury Mathieu , Forio Marie Anne Eurie , Forcellini Maxence , Fruget Jean-François , Goethals Peter , Haase Peter , Hudgins Emma J. , Jones J. Iwan , Kouba Antonín , Leitner Patrick , Lizée Marie-Helène , Maire Anthony , Murphy John F. , Ozolins Davis , Rasmussen Jes Jessen , Schmidt-Kloiber Astrid , Skuja Agnija , Stubbington Rachel , Van der Lee Gea H. , Vannevel Rudy , Várbíró Gábor , Verdonschot Ralf C. M. , Wiberg-Larsen Peter , Haubrock Phillip J. , Briski Elizabeta 
Published: April 2023

AbstractAs alien invasive species are a key driver of biodiversity loss, understanding patterns of rapidly changing global species compositions depends upon knowledge of invasive species population dynamics and trends at large scales. Within this context, the Ponto-Caspian region is among the most notable donor regions for aquatic invasive species in Europe. Using macroinvertebrate time series collected over 52 years (1968–2020) at 265 sites across 11 central and western European countries, we examined the occurrences, invasion rates, and abundances of freshwater Ponto-Caspian fauna. We examined whether: (i) successive Ponto-Caspian invasions follow a consistent pattern of composition pioneered by the same species, and (ii) Ponto-Caspian invasion accelerates subsequent invasion rates. In our dataset, Ponto-Caspian macroinvertebrates increased from two species in 1972 to 29 species in 2012. This trend was parallelled by a non-significant increasing trend in the abundances of Ponto-Caspian taxa. Trends in Ponto-Caspian invader richness increased significantly over time. We found a relatively uniform distribution of Ponto-Caspian macroinvertebrates across Europe without any relation to the distance to their native region. The Ponto-Caspian species that arrived first were often bivalves (46.5% of cases), particularly Dreissena polymorpha, followed secondarily by amphipods (83.8%; primarily Chelicorophium curvispinum and Dikerogammarus villosus). The time between consecutive invasions decreased significantly at our coarse regional scale, suggesting that previous alien establishments may facilitate invasions of subsequent taxa. Should alien species continue to translocate from the Ponto-Caspian region, our results suggest a high potential for their future invasion success highly connected central and western European waters. However, each species’ population may decline after an initial ‘boom’ phase or after the arrival of new invasive species, resulting in different alien species dominating over time.
Assessment of multiple model algorithms to predict earthworm geographic distribution range and biodiversity in Germany: implications for soil-monitoring and species-conservation needs
Authors: Salako Gabriel , Russell David J. , Stucke Andres , Eberhardt Einar 
Published: April 2023

AbstractIdentifying the potential distribution of soil-biodiversity with its density and richness relationships, including constituent species, is a pre-requisite for the assessment, conservation and protection of soil biodiversity and the soil functions it drives. Although the role of earthworms in improving soil quality has long been established, to quantitatively and spatially assess how this soil-animal group’s distribution changes along environmental gradients and geographic space and the identification of the drivers of such change has not been fully investigated. This comprehensive study aimed at modelling and mapping earthworm spatial distribution and diversity patterns to determine their conservation needs and provide baseline reference data for Germany. The study compared multiple modelling algorithms to map earthworm community parameters and 12 species-specific distribution probabilities, calculate their geographic range sizes and determine responses to environmental predictor variables. Three general patterns of spatial distribution ranges were identified by the model predictions (large-range, mid-range, and restricted-range species) with the corresponding environmental contributions to the predictions. Modelled species responses to environmental predictors confirm observed environmental drivers of earthworm distribution in Germany. The range classes based both on distributional level and geographic space provide the necessary information for identifying conservation and decision-making priorities, especially for restricted-distribution species as well as those with clearly defined habitat preferences.
Should low-risk DCIS lose the cancer label? An evidence review
Authors: Ma Tara , Semsarian Caitlin R. , Barratt Alexandra , Parker Lisa , Pathmanathan Nirmala , Nickel Brooke , Bell Katy J. L. 
Published: April 2023

Abstract
Background
Population mammographic screening for breast cancer has led to large increases in the diagnosis and treatment of ductal carcinoma in situ (DCIS). Active surveillance has been proposed as a management strategy for low-risk DCIS to mitigate against potential overdiagnosis and overtreatment. However, clinicians and patients remain reluctant to choose active surveillance, even within a trial setting. Re-calibration of the diagnostic threshold for low-risk DCIS and/or use of a label that does not include the word ‘cancer’ might encourage the uptake of active surveillance and other conservative treatment options. We aimed to identify and collate relevant epidemiological evidence to inform further discussion on these ideas.

Methods
We searched PubMed and EMBASE databases for low-risk DCIS studies in four categories: (1) natural history; (2) subclinical cancer found at autopsy; (3) diagnostic reproducibility (two or more pathologist interpretations at a single time point); and (4) diagnostic drift (two or more pathologist interpretations at different time points). Where we identified a pre-existing systematic review, the search was restricted to studies published after the inclusion period of the review. Two authors screened records, extracted data, and performed risk of bias assessment. We undertook a narrative synthesis of the included evidence within each category.

Results
Natural History (n = 11): one systematic review and nine primary studies were included, but only five provided evidence on the prognosis of women with low-risk DCIS. These studies reported that women with low-risk DCIS had comparable outcomes whether or not they had surgery. The risk of invasive breast cancer in patients with low-risk DCIS ranged from 6.5% (7.5 years) to 10.8% (10 years). The risk of dying from breast cancer in patients with low-risk DCIS ranged from 1.2 to 2.2% (10 years). Subclinical cancer at autopsy (n = 1): one systematic review of 13 studies estimated the mean prevalence of subclinical in situ breast cancer to be 8.9%. Diagnostic reproducibility (n = 13): two systematic reviews and 11 primary studies found at most moderate agreement in differentiating low-grade DCIS from other diagnoses. Diagnostic drift: no studies found.

Conclusion
Epidemiological evidence supports consideration of relabelling and/or recalibrating diagnostic thresholds for low-risk DCIS. Such diagnostic changes would need agreement on the definition of low-risk DCIS and improved diagnostic reproducibility.
Patient preferences for the design of a pharmacy-based colorectal cancer screening program
Authors: Brenner Alison T. , Waters Austin R. , Wangen Mary , Rohweder Catherine , Odebunmi Olufeyisayo , Marciniak Macary Weck , Ferrari Renée M. , Wheeler Stephanie B. , Shah Parth D. 
Published: April 2023

Abstract
Purpose
To assess preferences for design of a pharmacy-based colorectal cancer (CRC) screening program (PharmFIT™) among screening-eligible adults in the United States (US) and explore the impact of rurality on pharmacy use patterns (e.g., pharmacy type, prescription pick-up preference, service quality rating).

Methods
We conducted a national online survey of non-institutionalized US adults through panels managed by Qualtrics, a survey research company. A total of 1,045 adults (response rate 62%) completed the survey between March and April 2021. Sampling quotas matched respondents to the 2010 US Census and oversampled rural residents. We assessed pharmacy use patterns by rurality and design preferences for learning about PharmFIT™; receiving a FIT kit from a pharmacy; and completing and returning the FIT kit.

Results
Pharmacy use patterns varied, with some notable differences across rurality. Rural respondents used local, independently owned pharmacies more than non-rural respondents (20.4%, 6.3%, p < 0.001) and rated pharmacy service quality higher than non-rural respondents. Non-rural respondents preferred digital communication to learn about PharmFIT™ (36% vs 47%; p < 0.001) as well as digital FIT counseling (41% vs 49%; p = 0.02) more frequently than rural participants. Preferences for receiving and returning FITs were associated with pharmacy use patterns: respondents who pick up prescriptions in-person preferred to get their FIT (OR 7.7; 5.3–11.2) and return it in-person at the pharmacy (OR 1.7; 1.1–2.4).

Conclusion
Pharmacies are highly accessible and could be useful for expanding access to CRC screening services. Local context and pharmacy use patterns should be considered in the design and implementation of PharmFIT™.
Parkinson’s Disease Risk and Hyperhomocysteinemia: The Possible Link
Authors: Al-kuraishy Hayder M. , Al-Gareeb Ali I. , Elewa Yaser Hosny Ali , Zahran Mahmoud Hosny , Alexiou Athanasios , Papadakis Marios , Batiha Gaber El-Saber 
Published: April 2023

AbstractParkinson’s disease (PD) is one of the most common degenerative brain disorders caused by the loss of dopaminergic neurons in the substantia nigra (SN). Lewy bodies and -synuclein accumulation in the SN are hallmarks of the neuropathology of PD. Due to lifestyle changes and prolonged L-dopa administration, patients with PD frequently have vitamin deficiencies, especially folate, vitamin B6, and vitamin B12. These disorders augment circulating levels of Homocysteine with the development of hyperhomocysteinemia, which may contribute to the pathogenesis of PD. Therefore, this review aimed to ascertain if hyperhomocysteinemia may play a part in oxidative and inflammatory signaling pathways that contribute to PD development. Hyperhomocysteinemia is implicated in the pathogenesis of neurodegenerative disorders, including PD. Hyperhomocysteinemia triggers the development and progression of PD by different mechanisms, including oxidative stress, mitochondrial dysfunction, apoptosis, and endothelial dysfunction. Particularly, the progression of PD is linked with high inflammatory changes and systemic inflammatory disorders. Hyperhomocysteinemia induces immune activation and oxidative stress. In turn, activated immune response promotes the development and progression of hyperhomocysteinemia. Therefore, hyperhomocysteinemia-induced immunoinflammatory disorders and abnormal immune response may aggravate abnormal immunoinflammatory in PD, leading to more progression of PD severity. Also, inflammatory signaling pathways like nuclear factor kappa B (NF-κB) and nod-like receptor pyrin 3 (NLRP3) inflammasome and other signaling pathways are intricate in the pathogenesis of PD. In conclusion, hyperhomocysteinemia is involved in the development and progression of PD neuropathology either directly via induction degeneration of dopaminergic neurons or indirectly via activation of inflammatory signaling pathways.
Does democracy protect the environment? The role of the Arctic Council
Authors: Mavisakalyan Astghik , Otrachshenko Vladimir , Popova Olga 
Published: April 2023

AbstractThis paper examines the influence of democratic institutions on environmental policy stringency and the degree to which it is affected by membership in the Arctic Council. We hypothesize that, relative to countries with no Arctic presence, countries present in the Arctic given their territorial, trade, and touristic interests are more pro-environmentally inclined as they experience the effects of global warming first-hand, and the quality of democratic institutions may reinforce this effect. Our empirical analysis based on global macroeconomic data suggests that countries with democratic institutional environments are associated with more response to Arctic status and more stringent environmental policies. Moreover, the presence of democratic governments in the Arctic increases the stringency of both market- and non-market-based environmental regulations. The suggestive estimated monetary value associated with the impact of democratic institutions in the Arctic is about 101,000 international dollars per capita. These findings underscore that the development of democratic institutions may lead to strong welfare improvements and can be used in the design of international environmental agreements for Arctic area protection.
Analytical and Numerical Solution for the Time Fractional Black-Scholes Model Under Jump-Diffusion
Authors: Mohapatra Jugal , Santra Sudarshan , Ramos Higinio 
Published: April 2023

AbstractIn this work, we study the numerical solution for time fractional Black-Scholes model under jump-diffusion involving a Caputo differential operator. For simplicity of the analysis, the model problem is converted into a time fractional partial integro-differential equation with a Fredholm integral operator. The L1 discretization is introduced on a graded mesh to approximate the temporal derivative. A second order central difference scheme is used to replace the spatial derivatives and the composite trapezoidal approximation is employed to discretize the integral part. The stability results for the proposed numerical scheme are derived with a sharp error estimation. A rigorous analysis proves that the optimal rate of convergence is obtained for a suitable choice of the grading parameter. Further, we introduce the Adomian decomposition method to find out an analytical approximate solution of the given model and the results are compared with the numerical solutions. The main advantage of the fully discretized numerical method is that it not only resolves the initial singularity occurred due to the presence of the fractional operator, but it also gives a higher rate of convergence compared to the uniform mesh. On the other hand, the Adomian decomposition method gives the analytical solution as well as a numerical approximation of the solution which does not involve any mesh discretization. Furthermore, the method does not require a large amount of computer memory and is free of rounding errors. Some experiments are performed for both methods and it is shown that the results agree well with the theoretical findings. In addition, the proposed schemes are investigated on numerous European option pricing jump-diffusion models such as Merton’s jump-diffusion and Kou’s jump-diffusion for both European call and put options.
A dose escalation/expansion study evaluating dose, safety, and efficacy of the novel tyrosine kinase inhibitor surufatinib, which inhibits VEGFR 1, 2, & 3, FGFR 1, and CSF1R, in US patients with neuroendocrine tumors
Authors: Dasari Arvind , Hamilton Erika P. , Falchook Gerald S. , Wang Judy S. , Li Daneng , Sung Max W. , Chien Caly , Nanda Shivani , Tucci Christopher , Hahka-Kemppinen Marjo , Paulson Andrew Scott 
Published: April 2023

AbstractSurufatinib, is a potent inhibitor of vascular endothelial growth factor receptors 1–3; fibroblast growth factor receptor-1; colony-stimulating factor 1 receptor. This Phase 1/1b escalation/expansion study in US patients with solid tumors evaluated 5 once daily (QD) surufatinib doses (3 + 3 design) to identify maximum tolerated dose (MTD), recommended Phase 2 dose (RP2D), and evaluate safety and efficacy at the RP2D in 4 disease-specific expansion cohorts including pancreatic neuroendocrine tumors [pNET] and extrapancreatic NETs [epNET]. MTD and RP2D were 300 mg QD (escalation [n = 35]); 5 patients (15.6%) (Dose Limiting Toxicity [DLT] Evaluable Set [n = 32]) had DLTs. Pharmacokinetics were dose proportional. Estimated progression-free survival (PFS) rates at 11 months were 57.4% (95% confidence interval [CI]: 28.7, 78.2) and 51.1% (95% CI: 12.8, 80.3) for pNET and epNET expansion cohorts, respectively. Median PFS was 15.2 (95% CI: 5.2, not evaluable) and 11.5 (95% CI: 6.5,11.5) months. Response rates were 18.8% and 6.3%. The most frequent treatment-emergent adverse events (both cohorts) were fatigue (46.9%), hypertension (43.8%), proteinuria (37.5%), diarrhea (34.4%). Pharmacokinetics, safety, and antitumor efficacy of 300 mg QD oral surufatinib in US patients with pNETs and epNETs are consistent with previously reported studies in China and may support applicability of earlier surufatinib studies in US patients. Clinical trial registration: Clinicaltrials.gov NCT02549937.