bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preoperative Indocyanine Green Tattooing for Robotic‐Assisted Surgery in Rectal Cancer
Authors: Morimoto Yoshihiro , Kobayashi Akihiro , Yamazaki Nobuyoshi , Kubo Kouichirou , Satou Manabu , Kobayashi Ryousuke , Asai Daichi , Akamine Kouta , Ogata Kenji 
Published: January 2025

ABSTRACTIntroductionPreoperative identification of the site of rectal cancer surgery is crucial for ensuring accurate tumor localization and resection. Commonly employed methods include contrast‐enhanced enterography and endoscopic marking techniques, such as clipping and India ink tattooing. However, India ink tattooing poses challenges, including obstruction of the surgical field, ink leakage into the abdominal cavity, and potential complications such as peritonitis and adhesive bowel obstruction. Similarly, clipping requires palpation, making minimally invasive procedures, such as laparoscopic or robotic‐assisted surgery, impractical.Materials and Surgical TechniqueThe indocyanine green fluorescence method is employed intraoperatively to monitor blood and lymph flow in the intestinal tract. Here, we discuss the effectiveness of preoperative indocyanine green marking in accurately locating tumors during robot‐assisted rectal colorectal surgery.DiscussionBy using the fluorescence properties of indocyanine green, surgeons can precisely identify the tumor site, overcoming the limitations of traditional methods. This technique improves surgical accuracy while minimizing intraoperative risks and achieving optimal oncological outcomes. Preoperative indocyanine green tattooing represents a valuable enhancement to current techniques in rectal cancer surgery, particularly for robot‐assisted approaches. Our findings underscore the applicability of preoperative indocyanine green tattooing as a promising alternative in robot‐assisted surgery for patients with rectal cancer.
A Pollen‐Based Assisted Migration for Rapid Forest Adaptation
Authors: Chludil David , Čepl Jaroslav , Steffenrem Arne , Stejskal Jan , Sagariya Christi , Pook Torsten , Schueler Silvio , Korecký Jiří , Almqvist Curt , Chakraborty Debojyoti , Berlin Mats , Lstibůrek Milan 
Published: January 2025

ABSTRACTClimate change poses an unprecedented threat to forest ecosystems, necessitating innovative adaptation strategies. Traditional assisted migration approaches, while promising, face challenges related to environmental constraints, forestry practices, phytosanitary risks, economic barriers, and legal constraints. This has sparked debate within the scientific community, with some advocating for the broader implementation of assisted migration despite these limitations, while others emphasize the importance of local adaptation, which may not keep pace with the rapid rate of climate change. This opinion paper proposes a novel pollen‐based assisted migration strategy as a potential middle ground in this debate. By leveraging existing seed orchard infrastructure for controlled pollen transfer, this approach aims to enhance forest resilience through the introduction of genetic material from climatically suitable sources while acknowledging local adaptation. We assess the genetic implications of the proposed strategy through computer simulation. Additionally, we examine the ecological implications of assisted gene flow, discussing the potential benefits of heterosis and the risks of outbreeding depression in intra‐specific hybrid populations. We further explore the advantages of pollen‐based migration in mitigating phytosanitary risks, reducing economic barriers, and simplifying legal considerations compared to traditional seed or seedling transfer methods. Regional perspectives on adapting pollen‐based assisted migration are provided, with specific examples from Northern and Central Europe. We highlight how this approach could be integrated into existing forestry practices and regulatory frameworks within the European Union. We conclude by advocating for the inclusion of pollen‐based assisted migration in future international projects and operational forestry, emphasizing the need for adaptable policies that can support innovative forest management strategies in the face of climate change.
Enhanced temperature stability and reduced tan δ in B‐site modified titanate‐based high‐entropy perovskite oxides
Authors: Bunpang Ketkaeo , Somsri Widchaya , Cann David P. , Raengthon Natthaphon 
Published: January 2025

AbstractThe dielectric properties of complex titanate perovskites are highly sensitive to the composition, which influences the stability of the ferroelectric state. This work examines the role of Zr4+ and (Mg1/3Nb2/3)4+ doping on the B‐site in a high entropy composition based on (Na0.2Bi0.2Ba0.2Ca0.2Sr0.2)TiO3. In particular, (Na0.2Bi0.2Ba0.2Ca0.2Sr0.2)(Ti1−xMex)O3 (Me = Zr4+, (Mg1/3Nb2/3)4+, x = 0.00–0.15) ceramics are synthesized by solid‐state reaction method. All ceramics form a single‐phase cubic structure as demonstrated by X‐ray diffraction. The difference in ionic radius between Zr4+ and (Mg1/3Nb2/3)4+ ions contributes to changes in lattice parameter and microstructure. The Zr4+ doping generally causes lattice expansion, whereas low concentrations of (Mg1/3Nb2/3)4+ doping lead to lattice contraction, resulting in distinct microstructural modifications. For the doped samples, the relative permittivity decreases due to the influence of the dopants when compared with the undoped sample. Furthermore, the dielectric loss decreases substantially to a value below 0.001 across a broad temperature range and the temperature stability of capacitance is enhanced at elevated temperatures. Furthermore, all ceramics with higher Zr4+ and (Mg1/3Nb2/3)4+ concentrations show linear dielectric behavior with evidence of significant change of electrical characteristics revealed by impedance and modulus analysis. Consequently, the addition of Zr4+ and (Mg1/3Nb2/3)4+ to the composition (Na0.2Bi0.2Ba0.2Ca0.2Sr0.2)TiO3 shows great promise for high temperature, temperature stable capacitor applications.
What I Really, Really Want: The Role, Nature, and Value of True Preferences in the Ethics of Nudging
Authors: Engelen Bart , Ivanković Viktor 
Published: January 2025

ABSTRACTIn this article, we discuss the role that ‘true preferences’ can and should play in discussions on the possibility and desirability of paternalist nudges. Critics have claimed that such preferences do not exist, cannot be known reliably by third parties, and cannot justify whether and how to nudge people. In this article, we argue that these objections undermine the extent to which philosophers and laypeople can make sense of autonomy and authenticity. We aim to identify what kinds of preferences can plausibly be labelled ‘true’ and how that impacts discussions on the ethics of paternalist nudging. We analyse what ‘true preferences’ can mean, not for Econs, but for Humans, and argue, more specifically, that some of our existing preferences have special status. In addition, we argue that satisfying them is good for individuals and that nudgers should seek to overcome the epistemic challenges of discovering their content.
Comparison between Core‐ and Well Log‐Based Identification of Flow Units in the Mid‐Cretaceous Bangestan Group Reservoir, Mansuri Field, SW Iran: Implications for Regional Characterization
Authors: Daraei Mehdi , Afrazi Saeed , Vasighi Mahdi , Masoumi Zohreh 
Published: January 2025

ABSTRACTCore‐ and well log‐based techniques of reservoir characterization were used to independently assess mid‐Cretaceous (Albian–Santonian) flow units in the Bangestan Group reservoir of the Mansuri oilfield, located in the Dezful Embayment of SW Iran. The outcomes of the two techniques were compared to assess their utility in flow unit determination. Core‐based reservoir classification using the “Flow Zone Indicator” and “Stratigraphic Modified Lorenz Plot” approaches defined 15 flow units in the Mansuri reservoir, including three speed zones. Well log‐based (“K‐means” and “linkage clustering”) methodologies provided broadly consistent results with 16 flow units defined in the same reservoir sequence. The log‐based reservoir zonation gave a better vertical and laterally continuous representation of the reservoir geometry, while the core‐based zonation provided more information about reservoir quality and ranking of the flow units identified. To assess its regional significance, a reservoir zonation combining both techniques was then compared with Bangestan Group reservoirs across SW Iran. The analysis highlighted the influence of regional unconformities and associated subaerial exposure upon reservoir quality and flow unit geometries within the Bangestan reservoir. These exposure surfaces had distinct well log signatures, which could be traced across the region and used to define the regional configuration of the Bangestan Group reservoir in the absence of core data.
Gradual Changes in Functional Time Series
Authors: Bastian Patrick , Dette Holger 
Published: January 2025

ABSTRACTWe consider the problem of detecting gradual changes in the sequence of mean functions from a not necessarily stationary functional time series. Our approach is based on the maximum deviation (calculated over a given time interval) between a benchmark function and the mean functions at different time points. We speak of a gradual change of size , if this quantity exceeds a given threshold . For example, the benchmark function could represent an average of yearly temperature curves from the pre‐industrial time, and we are interested in the question of whether the yearly temperature curves afterwards deviate from the pre‐industrial average by more than degrees Celsius, where the deviations are measured with respect to the sup‐norm. Using Gaussian approximations for high‐dimensional data, we develop a test for hypotheses of this type and estimators for the time when a deviation of size larger than appears for the first time. We prove the validity of our approach and illustrate the new methods by a simulation study and a data example, where we analyze yearly temperature curves at different stations in Australia.
An Improved Procedure for Retrospectively Dating the Emergence and Collapse of Bubbles
Authors: Kejriwal Mohitosh , Nguyen Linh , Perron Pierre 
Published: January 2025

ABSTRACTThis article proposes a new ordinary least squares (OLS)‐based procedure for retrospectively dating the emergence and collapse of bubbles. We first consider a data generating process that entails a switch from a unit root regime to an explosive regime followed by a collapse and subsequent return to unit root behavior. We demonstrate analytically that the standard OLS estimates are inconsistent and date both the origination and implosion points with a delay in large samples. A simple modification that involves omitting the residual corresponding to the implosion date is shown to yield consistent estimates. We also develop an efficient dating algorithm that can accommodate a framework with multiple bubbles. The algorithm exploits the explicit form of the unit root restrictions to directly embed them into the recursive optimization problem which obviates the need to rely on an iterative scheme that requires initial values. Extensive simulation experiments indicate that our proposed procedure typically delivers estimates with lower bias and root mean squared error relative to competing alternatives. An empirical illustration is included.
Effect of carryover biomass of channel catfish on production and profitability in intensively aerated multiple‐batch system
Authors: Kumar Ganesh , Hegde Shraddha , Aarattuthodi Suja , Bosworth Brian , Sun Lianqun , Steensma Nathanial 
Published: January 2025

AbstractMultiple‐batch production is the most common farming strategy for raising channel catfish. Increased adoption of intensified alternative production practices has changed the cost structure of many catfish production practices including multiple‐batch systems. Production efficiency in multiple‐batch production can be enhanced by providing optimal stocking recommendations for fingerlings and carryover fish. Twelve 0.4‐ha ponds were understocked with 20,782 channel catfish fingerlings (mean weight = 30 g/fish) at three different carryover biomass rates (3440; 4580; and 5702 kg/ha). Fish were fed once daily to apparent satiation with a 28% protein floating feed, and ponds were aerated with a 7.4‐kW electric paddlewheel aerator. Gross, net, daily net yields, sub‐marketable yields (<0.54 kg), growth (g/day), and survival were statistically similar among the three treatments, but yield of marketable fish yield (fish ≥0.54 kg) increased significantly with increased carryover biomass. The cost of production was reduced while net returns increased with increased carryover biomass. The lowest carryover biomass treatment (3440 kg/ha) had negative cash flow and net returns when sub‐marketable fish were not assigned value. However, all three carryover biomass treatments attained positive annual net cash flows and net returns when sub‐marketable fish were valued as revenue, the two higher carryover biomass treatments (4580 and 5702 kg/ha) outperformed the low carryover biomass treatment (3440 kg/ha). This study indicates channel catfish carryover biomass rates should be between 4580 and 5702 kg/ha to improve cost efficiency in intensively aerated, multiple‐batch production systems.
Geometric series exists in nature: Evidence from sorted area sequences of floral parts and leaves
Authors: Shi Peijian , Li Bailian Larry , Wang Jinfeng , Mu Youying , Yao Weihao , Lian Meng , Deng Linli , Niklas Karl J. 
Published: January 2025

AbstractThe concept of a geometric series (GS) plays an important role in mathematics. However, it has been neglected in describing biological size series. Herein, we show that a GS describes the nonreproductive (perianth) parts of the flowers of four Magnoliaceae species and two Rosaceae species and the leaves of 60 Alangium chinense and 60 Shibataea chinensis shoots. The sorted areas of floral parts and leaves formed a sequence that was fitted by a GS with the mean of the quotients of two adjacent members in the sequence as the common ratio of a GS. The mean absolute percent error (MAPE) was used to measure the goodness of fit of each GS. Over 99.7% of the MAPE values (371 out of the 372 tested flowers) were less than 10%, and over 97.8% of the MAPE values were less than 5%. Likewise, over 77.5% of the MAPE values (93 out of the 120 tested shoots) were less than 10%, and over 35% of the MAPE values were less than 5%. These analyses provide empirical evidence that the GS exists in nature, and confirm the usefulness of a classical algebraic formula for the study of plant developmental biology.
Microbial Biotic Associations Dominated Adaptability Differences of Dioecious Poplar Under Salt Stress
Authors: Yan Kun , Ma Shuqi , Zhu Qiliang , Tian Huimei , Wang Yanping 
Published: January 2025

AbstractHow different stress responses by male and female plants are influenced by interactions with rhizosphere microbes remains unclear. In this study, we employed poplar as a dioecious model plant and quantified biotic associations between microorganisms to explore the relationship between microbial associations and plant adaptation. We propose a health index (HI) to comprehensively characterize the physiological characteristics and adaptive capacity of plants under stress. It was found that male poplars demonstrated higher salt stress tolerance than females, and root‐secreted citric acid was significantly higher in the rhizospheres of male poplars. Positive biotic association among bacteria increased poplar HI significantly under salt stress, while fungal and cross‐domain biotic association (bacteria–fungi) did not. We further identified a keystone bacterial taxon regulating bacterial biotic association, ASV_22706, which was itself regulated by citric acid and significantly positively correlated with host HI. The abundance of keystone fungal taxa was positively correlated with HI of male poplars and negatively correlated with HI of female poplars. Compared with female poplars, male poplars enriched more prebiotics and probiotics under stress. This work primarily reveals the relationship between adaptation differences and microbial interactions in dioecious plants, which suggests a microbial approach to improve plant adaptability to stress conditions.
Embedding Specialised Educators in Modalities for Continuing Medical Education. A Study of Effectiveness, and Health Care Practitioner and Educator Preferences
Authors: Fehlberg Zoe , Long Janet C. , Kanga‐Parabia Anaita , Archibald Alison D. , Braithwaite Jeffrey , Best Stephanie 
Published: January 2025

ABSTRACTIntroductionAs the delivery of continuing medical education moves towards digital modes, determining how to embed and capitalise on the skills of specialised educators in digital modalities is critical. Drawing on social theories of adult learning and behaviour change, this study trialled multiple delivery modes of education about reproductive genetic ‘carrier screening’ with varying levels of specialised educator (genetic counsellors) input to examine clinical effectiveness, and health care practitioners and educator preferences.MethodsA subset of health care practitioners (n = 209) interested in offering carrier screening through a large study were randomly allocated to receive education via face‐to‐face, a pre‐recorded video or an online module, with active or passive educator input. The modes were evaluated using four levels of behaviour‐linked outcomes.FindingsThe results of our study show that although face‐to‐face and a video modality with active educator input had the highest completion rates and impact on clinical practice, there was little difference across modes on self‐reported behaviour change outcomes. The educators observed that there was no one‐size‐fits‐all approach to education delivery and reported benefits and drawbacks to each. Going forward, 56% of health care practitioners considered an online mode of education delivery, such as videos, written material or both, to be viable approaches with options for ongoing educator support.ConclusionEmbedding highly specialised educators with ongoing support and incorporating aspects of social learning within functional digital platforms should be considered in the development of continuing medical education, especially for health care practitioners who may work in smaller and isolated clinics.
Epidemiological models to estimate the burden of snakebite envenoming: A systematic review
Authors: Gololo Ahmed Adamu , Veettil Sajesh K. , Anantachoti Puree , Taychakhoonavudh Suthira , Patikorn Chanthawat 
Published: January 2025

AbstractBackgroundEpidemiological modelling studies in snakebite envenoming research are evolving. Their techniques can be essential in filling the knowledge gap needed to attain the World Health Organization's (WHO) goal of halving the burden of snakebite envenoming by complementing the current data scarcity. Hence, there is a need for a systematic review to summarise epidemiological models used in estimating the burden of snakebite envenoming.MethodsWe conducted a systematic review by searching PubMed, EMBASE, and Scopus to identify articles reporting epidemiological models in snakebite envenoming from database inception to 31st December 2023. A narrative synthesis was performed to summarise types of models, methodologies, input parameters, model outputs, and associating factors.ResultsThirty‐nine modelling studies were included from 2426 retrieved articles, comprising statistical models (76.9%) and mathematical models (23.1%). Most of the studies were conducted in South Asia, (35.9%) and Latin America (35.9%), and only a few (5.1%) were a global burden estimation. The eligible studies constructed 42 epidemiological models, of which 33 were statistical models that included regression, (60.6%) geostatistical (21.2%), and time series, (18.2%) while 9 mathematical models comprised compartmental, (44.4%) agent‐based, (22.2%) transmission dynamics, (11.1%) network, (11.1%) and a simple mathematical model (11.1%). The outputs of the models varied across the study objectives. Statistical models analysed the relationship between incidence, (83.3%) mortality, (33.3%) morbidity (16.7%) and prevalence (10.0%) and their associating factors (environmental, [80%] socio‐demographic [33.3%] and therapeutic [10.0%]). Mathematical models estimated incidence, (100%) mortality (33.3%), and morbidity (22.2%). Five mathematical modelling studies considered associating factors, including environmental (60%) and socio‐demographic factors (40%).ConclusionMathematical and statistical models are crucial for estimating the burden of snakebite envenoming, offering insights into risk prediction and resource allocation. Current challenges include low‐quality data and methodological heterogeneity. Modelling studies are needed, and their continued improvement is vital for meeting WHO goals. Future research should emphasise standardised methodologies, high‐quality community data, and stakeholder engagement to create accurate, applicable models for prevention and resource optimization in high‐burden regions, including Africa and Asia.
Study of Evolving Young Wind Waves Under Steady Wind Forcing
Authors: Soman Sachu S. , Singh Santosh Kumar 
Published: January 2025

Abstract
In this work, a comprehensive experiment is conducted to investigate the spatio-temporal variability of young wind waves under steady wind forcing. The experimental setup included a wave tank equipped with a wind blower capable of generating a wide range of wind velocities. Wave elevation was measured at various airflow rates and fetches using a capacitance-type wave gauge. The spatial growth rates of young waves at different frequencies were assessed by analyzing wave gauge records taken at multiple fetches. In every case of wind blowing, the growing wave field exhibited strong nonhomogeneity, with an increase in wave energy along the wave channel accompanied by a decrease in frequency. Notably, the findings from the experiments reveal that young wind waves lose their temporal coherence within three local dominant wave periods, regardless of wind velocity and fetch. The limited temporal and spatial coherence of gravity-capillary and short wind waves has significant implications for radar remote sensing of the ocean surface.
Proposed Surface Topography for Frosting Inhibition and Ease Ice Removal
Authors: Thi Minh-Thuy Nguyen , Nguyen T.-B. 
Published: January 2025

Abstract
In this study, we conducted a comprehensive investigation on the role of surface topography in the anti-icing process in terms of water-ice transition prevention and bond strength deterioration. The uniform microstructures were evaluated based on the unit cell definition to document the different contact ratios while maintaining the same wettability. The survey results revealed a large difference in bond strength among the same wettability samples when it is interestingly proportional to the area fraction, confirming the importance of textured structures in ice removal performance. In addition, a thermal conduction approach was proposed to qualitatively determine the phase transition time of water volume forming on the functional surface. The real-time investigation results agreed well with the theoretical calculation, emphasizing the importance of considering surface parameters and suggesting rational designs for ice-phobic surfaces.