bluuebunny/crossref_metadata_2025_split huggingface dataset:
Activity patterns of Octopus tetricus (Mollusca: Cephalopoda) and their behavioural responses to fisheries trap and bait combinations
Authors: Vrandich Adam A. , Kelaher Brendan P. , Hall Karina C. 
Published: October 2024

AbstractAn understanding of octopus behaviour and their capture by fishing gears is required to inform efficient, sustainable, and ethical octopus fisheries. Here, the behaviour of Octopus tetricus was assessed in response to different bait and trap combinations in an outdoor mesocosm experiment. Eight wild octopuses were collected, maintained in individual tanks with flow-through seawater and aeration, and monitored with a 24-h video surveillance system. Six different traps and four different baits were presented to each octopus in various combinations during four sequential trials. Fine-mesh crab traps were the most successful in capturing octopus, accounting for 23 of the total 30 captures across all trials. Whereas solid trigger traps produced the greatest number of other interactions (e.g., octopus sitting on trap/in the entrance), averaging 43 interactions per trial, but were rarely triggered. Bait type did not influence octopus capture, trap interaction frequency, or octopus activity; however, only artificial bait types were trialled, and fresh natural baits may elicit a stronger response and should be investigated in future research. Generally, octopus were inactive, dedicating only 9.5% of their total time to active behaviours. Octopus activity varied with time of day, with peak activity during morning daylight (0800–1200) and the lowest activity during the dark hours of the very early morning (0000–0400). Additionally, capture numbers, trap interactions, and activity varied among individuals, with bolder personalities in some octopus. This natural variation among individual octopuses may lead to fishery-induced selection associated with the elevated capture frequency of bold or more active individuals.
On constraint-conforming numerical discretizations in constitutive material modeling
Authors: Bode T. , Soleimani M. , Erdogan C. , Hackl K. , Wriggers P. , Junker P. 
Published: October 2024

AbstractFor the modelling of complex materials, internal variables are usually introduced which characterize the microstructural state. Then, evolution equations describe the change of the internal variables due to varying external loading conditions. These equations can be derived, for instance, on the basis of variational principles. The consideration of characteristic observations, such as the preservation of the volume during a change in the microstructural state, can significantly improve the accuracy of the evolution equations. We present a Hamilton principle that provides a unique way to derive evolution equations that obey holonomic constraints and opens up new possibilities for their algorithmic treatment. This is demonstrated for isochoric finite plasticity and phase transformation based on Backward-Euler time discretization. The models presented are efficient and are characterized by simple implementation compared to the exponential map, for example, without suffering a loss of accuracy due to unfulfilled constraints.
Räumliche Beschäftigungsmuster im Kölner Online- und Hybridhandel
Authors: Zander Michelle , Fuchs Martina , Costantini Ivo , Rolf Ricarda , Dannenberg Peter 
Published: October 2024

ZusammenfassungDie Digitalisierung des Einzelhandels geht mit Veränderungen der Arbeitsverhältnisse einher. Als zuletzt im Zuge der Coronapandemie der Online- und Hybridhandel (stationär und digital) expandierte, wurden auch damit verbundene prekäre Arbeitsbedingungen sichtbar. Gleichzeitig entstanden aber auch anspruchsvolle Arbeitsplätze, beispielsweise in IT und Verwaltung. Dies weist auf eine Polarisierung hin, die sich – getrieben vor allem durch technischen Wandel – gleichzeitig durch eine starke Ausprägung von Arbeitsverhältnissen auszeichnet, die einerseits nur geringe formale Qualifikationen erfordert und gering entlohnt wird und andererseits höhere formale Ausbildungsabschlüsse erfordert und besser entlohnt wird, während mittlere Qualifikationsstufen weniger ausgeprägt sind. Bisher gibt es jedoch kaum systematische und differenzierte Untersuchungen, die belastbare Aussagen zu regionalen oder lokalen Mustern von Arbeitsbedingungen im Online- und Hybridhandel erlauben. Dabei ist jedoch zu erwarten, dass sich diese auch räumlich unterscheiden, etwa aufgrund unterschiedlicher Tätigkeits- und Beschäftigungsbereiche. Vor diesem Hintergrund konzentriert sich die vorliegende Arbeit auf räumliche Beschäftigungsmuster im Online- und Hybridhandel am Beispiel der Metropolregion Köln. Konkret untersucht sie auf Basis einer Betriebsbefragung vor allem von kleinen und mittelständischen Online- und Hybridhandelsbetrieben (2023–2024; n = 377), inwieweit es zu unterschiedlichen Ausprägungen von Vertragsverhältnissen, Qualifikationsanforderungen, Entlohnung und Mitbestimmung kommt. Aufgrund der Verortung der Arbeitsaufgaben ergibt sich eine räumliche Differenzierung: Gerade in den Bereichen Lagerlogistik und Zustellung wurden klare räumliche Unterschiede deutlich. Anders ist es bei Arbeitsplätzen mit höheren formalen Qualifikationsanforderungen. Hier sind die Differenzen jedoch nicht so ausgeprägt, dass von einem Auseinanderdriften der Qualifikation gesprochen werden kann. Ein räumliches Muster zeigt sich insbesondere zwischen dem urbanen Raum und den Randgebieten aufgrund der unterschiedlichen Merkmale der Beschäftigungsbereiche und der damit verbundenen Polarisierung. In den innerstädtischen Lagen werden eher Werkstudenten- und geringfügige Verträge vergeben, während in den Randgebieten größere Betriebe mit Betriebsrat und höheren formalen Qualifikationsanforderungen zu finden sind.
Rock Mass Classification of Chalk, a UK Perspective
Authors: Paraskevopoulou Chrysothemis , Saroglou Charalampos , Kaushik Aditya 
Published: October 2024

AbstractInvestigating the geomechanical engineering behaviour of Chalk is challenging since it is a generally soft rock formation and presents in cases a different behaviour from other competent rocks. Additionally, Chalk is widespread throughout the United Kingdom and other parts of the world. Thus, an in-depth understanding of Chalk is paramount when considered in engineering projects. In this research work, the geomechanical behaviour of Northern Province Chalk is examined. This study mainly involves characterising two significant units of Northern Province Chalk, namely Flamborough and Burnham Chalk, through intensive fieldwork and laboratory testing. Multiple scanline surveys are conducted along the cliffs of Flamborough to characterise the jointed nature of the Chalk. The samples collected are assessed in the lab to determine the physical properties of the intact Chalk. Moreover, the Chalk mass properties are compared to those estimated from empirical classification systems. Finally, the limitations of applying rock mass classification systems to Chalk have also been highlighted.
Ablation manual for liver cancer
Authors: Maruyama Hitoshi , Minami Yasunori , Sugimoto Katsutoshi , Funaoka Akihiro , Numata Kazushi 
Published: October 2024

Abstract
Because of recent advances in energy device technology, ablation has become popular worldwide. It is less invasive and provides faster postoperative recovery compared to surgery, and therefore, it has come to be applied to a wide range of organs, such as liver, lung, kidney, thyroid, and bone/soft tissue tumors. In order to properly guide the needle to the target area, imaging support is necessary, and ultrasound, which has the advantages of high resolution and real-time capability, is the most frequently used modality. In other words, ablation can be said to be a therapeutic method that makes the most of the advantages of ultrasound. This article outlines the role of ultrasound in ablation for liver cancer and its specific usage.
Proximal-stabilized semidefinite programming
Authors: Cipolla Stefano , Gondzio Jacek 
Published: October 2024

AbstractA regularized version of the primal-dual Interior Point Method (IPM) for the solution of Semidefinite Programming Problems (SDPs) is presented in this paper. Leveraging on the proximal point method, a novel Proximal Stabilized Interior Point Method for SDP (PS-SDP-IPM) is introduced. The method is strongly supported by theoretical results concerning its convergence: the worst-case complexity result is established for the inner regularized infeasible inexact IPM solver. The new method demonstrates an increased robustness when dealing with problems characterized by ill-conditioning or linear dependence of the constraints without requiring any kind of pre-processing. Extensive numerical experience is reported to illustrate advantages of the proposed method when compared to the state-of-the-art solver.
An international survey on retinopathy of prematurity practice patterns during the COVID-19 pandemic and lessons for future management
Authors: Shemesh Rachel , Chiang Michael , Paul Chan R. V. , Orge Faruk , Yam Jason C. , Farzavandi Sonal , Sprunger Derek , Mezer Eedy , Wygnanski-Jafee Tamara 
Published: October 2024

Abstract
Purpose
To assess retinopathy of prematurity (ROP) practice patterns during the coronavirus (COVID-19) pandemic.

Methods
A survey on ROP practice patterns during the COVID-19 pandemic was sent to the American Academy of Ophthalmic Executives, the International Pediatric Ophthalmology and Strabismus Council members, and to various national societies on May 19, 2020. The survey closed on the 31st of June 2020.

Results
Two hundred ninety-two ophthalmologists from 41 countries responded to the survey. Most replies originated in Asia (48%) and North America (38%). During the COVID-19 pandemic compared to the pre-COVID-19 period, respondents reported a reduction of 15% in the number of NICU inpatients and 19.8% of the ROP outpatients’ follow-up visits. The number of ROP outpatients’ follow-up visits and inpatients’ exams was significantly greater in North America than in Asia (72.0% versus 37.2% and 87.8% versus 49.6%, respectively, P < 0.001). Only 14% of the ophthalmologists adopted new screening guidelines, and 7.2% reported changing their preferred treatment. In 50% of responders, laser photocoagulation was the preferred treatment. A significantly higher percentage of ophthalmologists reported using telemedicine during the pandemic, 29.8% (n = 85/285), and 15.6% (44/282) prior to the pandemic (χ2 = 15.51, p < 0.001).

Conclusions
During the COVID-19 pandemic, fewer ROP screening and follow-up visits were conducted on premature infants; these findings were especially prominent among physicians in Asia. Telemedicine usage increased during the pandemic. This study highlights the need to maintain screening protocols for ROP during pandemics. The utility of technological measures could enable this, along with adequate prevention of physical contact.
An approach for constructing spatially paired pseudo repeat-sales housing price indices in China
Authors: Zhang Haiyong , Song Zisheng , Chen Zhuo 
Published: October 2024

AbstractConstructing a reliable housing price index is crucial for accurately reflecting housing price dynamics and enhancing transparency in the housing market. However, existing methods for constructing housing price indices often confront many challenges, such as omitted variable issues in the hedonic model and constrained samples used in the repeat-sales model. To address these challenges, this study identifies a spatially paired relationship between complexes and develops a Spatially Paired Pseudo Repeat-Sales model to construct the housing price index. This approach offers two significant advantages: first, it enlarges the sample size used in the repeat-sales model at least 1.8 times; second, it effectively estimates the effects of spatial dependency and physical housing factors on prices while mitigating the impacts of unobservable factors through differentiation. The findings of this paper suggest that using the spatially paired pseudo repeat-sales model can significantly improve the estimation of housing price volatility, by approximately 13%. Moreover, the constructed housing price index model demonstrates significant robustness, even when the spatial weight settings are altered. This research provides convincing evidence of improved housing market transparency for stakeholders, including governments, institutional developers, and individual investors. Additionally, the constructed model can inform other similar research in housing price index construction by providing a spatially pairing perspective on housing complexes.
Communicating in Verse: How Reading Poetry Can Expand How We Care for Patients
Authors: Patel Tulsi R. , Hauser Joshua 
Published: October 2024

Abstract
It is a foundational principle of medical humanities that the appreciation of literature and other humanities enrich and expand medical training. But what are the mechanisms by which this happens? As a faculty member and former medical student, who met during an interdisciplinary and multi-institutional 5-session poetry seminar, we reflect on how poetry enriches our own experiences working with patients, as well as how we care for patients. Reading poetry in medicine has the potential to enhance observational skills, model an appreciation of uncertainties, and generate joy. Similar to our seminar, other institutions may also consider incorporating poetry into curricula.
Fixed-Magnetization Ising Model with a Slowly Varying Magnetic Field
Authors: Aoun Yacine , Ott Sébastien , Velenik Yvan 
Published: October 2024

AbstractThe motivation for this paper is the analysis of the fixed-density Ising lattice gas in the presence of a gravitational field. This is seen as a particular instance of an Ising model with a slowly varying magnetic field in the fixed magnetization ensemble. We first characterize the typical magnetization profiles in the regime in which the contribution of the magnetic field competes with the bulk energy term. We then discuss in more detail the particular case of a gravitational field and the arising interfacial phenomena. In particular, we identify the macroscopic profile and propose several conjectures concerning the interface appearing in the phase coexistence regime. The latter are supported by explicit computations in an effective model. Finally, we state some conjectures concerning equilibrium crystal shapes in the presence of a gravitational field, when the latter contributes to the energy only to surface order.
Continuous monitoring of outdoor natural gamma absorbed dose rate in air: a long-term study in Kolkata, West Bengal, India
Authors: Mitra Pratip , Srivastava Saurabh , Reddy G. Priyanka , Garg Saurabh , Kumar A. Vinod 
Published: October 2024

AbstractThis study contributes to the overarching Indian Environmental Radiation Monitoring Network initiative, concentrating on the continual assessment of the gamma absorbed dose rate in outdoor air attributable to natural gamma radiation in Kolkata, West Bengal, India. Over a span of fourteen years (2011–2024), data were gathered from 32 monitoring sites within the city utilizing permanently installed Geiger-Mueller detector-based environmental radiation monitors. This paper offers an analysis of extensive findings from long-term monitoring efforts. The absorbed gamma dose rate in outdoor air varied among the monitoring sites, ranging from 78 ± 5 to 137 ± 4 nGy h− 1, with a mean value of 107 ± 12 nGy h− 1. The estimated mean annual effective dose due to outdoor natural gamma radiation ranged from 0.10 ± 0.01 to 0.17 ± 0.01 mSv y− 1, with an overall mean of 0.13 ± 0.01 mSv y−1.
Estimating vegetation and litter biomass fractions in rangelands using structure-from-motion and LiDAR datasets from unmanned aerial vehicles
Authors: Fernández-Guisuraga José Manuel , Calvo Leonor , Enterkine Josh , Price William J. , Dinkins Jonathan B. , Jensen K. Scott , Olsoy Peter J. , Arispe Sergio A. 
Published: October 2024

Abstract
Context
The invasion of annual grasses in western U.S. rangelands promotes high litter accumulation throughout the landscape that perpetuates a grass-fire cycle threatening biodiversity.

Objectives
To provide novel evidence on the potential of fine spatial and structural resolution remote sensing data derived from Unmanned Aerial Vehicles (UAVs) to separately estimate the biomass of vegetation and litter fractions in sagebrush ecosystems.

Methods
We calculated several plot-level metrics with ecological relevance and representative of the biomass fraction distribution by strata from UAV Light Detection and Ranging (LiDAR) and Structure-from-Motion (SfM) datasets and regressed those predictors against vegetation, litter, and total biomass fractions harvested in the field. We also tested a hybrid approach in which we used digital terrain models (DTMs) computed from UAV LiDAR data to height-normalize SfM-derived point clouds (UAV SfM-LiDAR).

Results
The metrics derived from UAV LiDAR data had the highest predictive ability in terms of total (R2 = 0.74) and litter (R2 = 0.59) biomass, while those from the UAV SfM-LiDAR provided the highest predictive performance for vegetation biomass (R2 = 0.77 versus R2 = 0.72 for UAV LiDAR). In turn, SfM and SfM-LiDAR point clouds indicated a pronounced decrease in the estimation performance of litter and total biomass.

Conclusions
Our results demonstrate that high-density UAV LiDAR datasets are essential for consistently estimating all biomass fractions through more accurate characterization of (i) the vertical structure of the plant community beneath top-of-canopy surface and (ii) the terrain microtopography through thick and dense litter layers than achieved with SfM-derived products.
Toward comprehensive short utterances manipulations detection in videos
Authors: Moufidi Abderrazzaq , Rousseau David , Rasti Pejman 
Published: October 2024

AbstractIn a landscape increasingly populated by convincing yet deceptive multimedia content generated through generative adversarial networks, there exists a significant challenge for both human interpretation and machine learning algorithms. This study introduces a shallow learning technique specifically tailored for analyzing visual and auditory components in videos, targeting the lower face region. Our method is optimized for ultra-short video segments (200-600 ms) and employs wavelet scattering transforms for audio and discrete cosine transforms for video. Unlike many approaches, our method excels at these short durations and scales efficiently to longer segments. Experimental results demonstrate high accuracy, achieving 96.83% for 600 ms audio segments and 99.87% for whole video sequences on the FakeAVCeleb and DeepfakeTIMIT datasets. This approach is computationally efficient, making it suitable for real-world applications with constrained resources. The paper also explores the unique challenges of detecting deepfakes in ultra-short sequences and proposes a targeted evaluation strategy for these conditions.
Social media “SoMe” in neuro-oncology: a review of the literature
Authors: Klein Benjamin R. , Levi David J. , Shah Ashish H. , Ivan Michael E. , Levi Allan D. 
Published: October 2024

Abstract
Purpose
This article examines the current state of social media (SoMe) in neuro-oncology and neurosurgical oncology. The goal of this paper is to provide thorough discourse regarding benefits and disadvantages of being a neurosurgical oncologist on SoMe, while discussing the place SoMe will have in cranial tumor-based practices going forward.

Methods
The author’s performed a rigorous literature review on the topic. Included information was pertinent to the history of SoMe in neurosurgical oncology and its impact on the field of neuro-oncology. Incorporated as well are the benefits of being a neurosurgical oncologist on SoMe, the drawbacks of participation on SoMe platforms, and knowledge that facilitates discussion about the future of SoMe in neurosurgical oncology.

Results
SoMe plays an important role in neuro-oncology and neurosurgical oncology. SoMe continues to exponentially grow in the healthcare sphere as more providers utilize SoMe platforms. We report objective negative and positive outcomes of SoMe in neurosurgical oncology and neuro-oncology. Here, we summarize these results and provide dialogue describing the effect SoMe is having on the many different aspects of neurosurgical oncology and neuro-oncology.

Conclusion
Although SoMe platforms improve social presence and patient outreach, the use of SoMe can also adversely affect one’s career by exposing clinicians to unchecked societal, legal and professional consequences. While using SoMe as a vessel to propagate career initiatives, neurosurgical oncologists should exercise caution with the content they choose to circulate.
Explicit families of congruences for the overpartition function
Authors: Ryan Nathan C. , Sirolli Nicolás , Villegas-Morales Jean Carlos , Zheng Qi-Yang 
Published: October 2024

AbstractIn this article we exhibit new explicit families of congruences for the overpartition function, making effective the existence results given previously by Treneer. We give infinite families of congruences modulo m for $$m = 3, 5, 7, 11$$

m
=
3
,
5
,
7
,
11

, and finite families for $$m = 13, 17, 19$$

m
=
13
,
17
,
19

.
The use of ChatGPT for identifying disruptive papers in science: a first exploration
Authors: Bornmann Lutz , Wu Lingfei , Ettl Christoph 
Published: October 2024

AbstractChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The use of ChatGPT might be an easy to use alternative.
Robust and correspondence-free point cloud registration: an extended approach with multiple hypotheses evaluation
Authors: Di Lauro Federica , Sorrenti Domenico Giorgio , Fontana Simone 
Published: October 2024

AbstractPoint cloud registration is a fundamental problem in robotics, critical for tasks such as localization and mapping. Most approaches to this problem use feature-based techniques. However, these approaches have issues when dealing with unstructured environments where meaningful features are difficult to extract. Recently, an innovative global point cloud registration algorithm, PHASER, which does not rely on geometric features or point correspondences, has been introduced. It leverages Fourier transforms to identify the optimal rigid transform that maximizes cross-correlation between source and target point clouds. PHASER can also incorporate additional data channels, like LiDAR intensity, to enhance registration results. Because it does not rely on local features and because of its ability to exploit additional data, PHASER is particularly useful when dealing with very noisy point clouds or with many outliers. For this reason, we propose an extension to PHASER that considers multiple plausible rototranslation hypotheses. Our extended approach outperforms the original PHASER algorithm, especially in challenging scenarios where point clouds are widely separated. We validate its effectiveness on the DARPA SubT, and the Newer College datasets, showcasing its potential for improving registration accuracy in complex environments.