bluuebunny/crossref_metadata_2025 huggingface dataset:
Irrigant dynamics of a back-to-back double side-vented needle in root canals with various tapers: a computational fluid dynamics study
Authors: Singh Surmayee , Zuber Mohammad , Verekar Prathmesh Pravin , Shetty Tejaswini , Srikant N. , Thomas Manuel S.
Published: May 2024

Understanding the apical pressure and irrigant flow patterns in root canals is crucial for safe and effective irrigation. Therefore, this study aimed to assess the flow characteristics of irrigants in root canal models with varying tapers during final irrigation by employing various needle designs, including a back-to-back double-side-vented needle, through computational fluid dynamics. The root canal model was configured as a closed geometrical cone with a simulated apical zone (size 30) and features tapers of 4%, 6%, and 8%. Three needle types—open-ended needle (OEN), single side-vented needle (SSVN), and double side-vented needle (DSVN)—were investigated. The results indicated that for the 4% taper models, the open-ended needle generated the maximum apical pressure, followed by the double side-vented needle and the single side-vented needle. However, in the 6% and 8% tapering root canal models, the double-side-vented needle applied the lowest maximum apical pressure. Consequently, the DSVN can pose a risk for irrigant extrusion in minimally prepared canals due to heightened apical pressure. In wider canals, the DSVN exhibited lower apical pressure. The maximum irrigant replacement was observed with OEN compared to that of the closed-ended group for both flow rates. Additionally, compared with OENs, closed-ended needles exhibited nonuniform and lower shear wall stress.
A PPP kinematic application on historical GPS data: the reprocessing of the ITASE98-99 Antarctica mission height profiles
Authors: Cappuccio Matteo , Tavasci Luca , Vecchi Enrica , Frezzotti Massimo , Gandolfi Stefano
Published: May 2024

The analysis of altimetric profiles in Antarctica and their evolution over the years is a sensitive topic for the scientific community since it helps understand the effects of climate change that the continent undergoes. Different geomatic techniques, including the GNSS technology, can be employed to obtain altimetric profiles. However, the GNSS differenced approaches, such as the Post Processing Kinematic, are hardly usable to define long profiles in Antarctica because of the low number of CORS stations. In these conditions, the Precise Point Positioning (PPP) approach is a valid alternative to avoid processing very long baselines. The aim of this article is to define a standard procedure for the processing of historical GPS data, thanks to the availability of a dataset from the International Trans-Antarctic Scientific Expedition, which took place between 1998 and 1999 (ITASE98-99). This expedition focused on mapping the Antarctic territory, subdividing it by nations of influence, using geophysical and geodetic technologies, including GPS. The altimetric profiles had already been calculated in 2002 by the Geomatics group of the University of Bologna using the Gipsy-OASIS II software. In this work, the new version of the JPL software, GipsyX, is used to apply the newly implemented models and reprocessed products. The calibration of the processing parameters leading to the final PPP solution is described in the paper, including details on the implementation of a post-processing filtering procedure. The average a posteriori elevation error is 4.6 cm, while 99% of them are within 27 cm. The comparison of the new results to both the previous processing and the REMA elevation model shown that about double the number of solutions are now available, meter-level elevation spikes have been avoided, and a half meter bias is now reduced to a few centimeters. Given the almost 15 years difference between the 1999.0 expedition epoch and the REMA reference epoch, the obtained results can be used to study accumulation/erosion effects on the Antarctica ice sheet.
Patterns of deadwood amount and deadwood diversity along a natural forest recovery gradient from agriculture to old-growth lowland tropical forests
Authors: Falconí-López Ana , Grella Nina , Donoso David A. , Feldhaar Heike , Tremlett Constance J. , Müller Jörg
Published: May 2024

Deadwood is a key component of nutrient cycling in natural tropical forests, serving as a globally important carbon storage and habitat for a high number of species. The conversion of tropical forests to agriculture modifies deadwood pools, but we know little about deadwood dynamics in forests recovering from human disturbance. Here we quantified the volume and diversity of coarse woody debris (CWD, ≥ 7 cm diameter) and the mass of fine woody debris (FWD, < 7 cm) along a chronosequence of natural forest recovery in the lowlands of the Ecuadorian Chocó region. We sampled forest plots ranging from 1–37 years of recovery post-cessation of agricultural use as either cacao plantation or cattle pasture, as well as actively managed cacao plantations and cattle pastures, and old-growth forests. In contrast to our expectation, we found no significant increase in deadwood volume with recovery time. The diversity in size, decay stage and type of CWD increased along the recovery gradient, with no effect of previous land use type. The mass of FWD increased overall across the recovery gradient, but these results were driven by a steep increase in former pastures, with no change observed in former cacao plantations. We suggest that the range of sizes and decomposition stages of deadwood found in these two major tropical agricultural systems could provide suitable resources for saproxylic organisms and an overlooked carbon storage outside old-growth forests. Our estimates of deadwood in agricultural systems and recovering forests can help improve global assessments of carbon storage and release in the tropics.
New insights into biodiversity-disease relationships: the importance of the host community network characterization
Authors: Barroso Patricia , Gortázar Christian
Published: May 2024

Camera-trapping-based social network analysis (SNA) is a valuable tool to characterize communities and identify species with an outstanding role in pathogen maintenance. This study provides new insights into the contentious debate on the effect of biodiversity on disease risk by combining SNA with the assessment of host diversity indicators and pathogen richness in Spain. The apparent species richness detected by camera traps at each study site ranged from 10 to 33 species (mean ± standard error (SE): 20.73 ± 1.94) and their apparent diversity rates (i.e., Shannon index) ranged from 0.57 to 2.55 (mean ± SE: 1.97 ± 0.16). At the community level, vertebrate host diversity had a marginal dilution effect on the disease risk and was negatively correlated to pathogen richness. The exposure to multiple pathogens, as a proxy of disease risk, was negatively associated with apparent host diversity. The disease risk was driven by the interaction of apparent biodiversity with the presence of livestock and with the centrality of the indicator species (i.e., the wild boar). The maximum risk of co-exposure to pathogens was reached when the lowest apparent biodiversity rates coincided with the highest wild boar centrality in the host community or with the presence of livestock, respectively. The highest confluence of pathogens occurred at lower apparent diversity indexes, higher wild boar relative abundances and predominance of agricultural lands. Our results suggest that the diversity-disease relationship is not linear and depends on the environment and host community characteristics, thereby opening avenues for designing new prevention strategies.
Opposing Patterns of Spatial Synchrony in Lyme Disease Incidence
Authors: Ali Asad E. , Gardner Allison M. , Shugart Herman H. , Walter Jonathan A.
Published: May 2024

Incidence of Lyme disease, a tick-borne illness prevalent in the US, is increasing in endemic regions and regions with no previous history of the disease, significantly impacting public health. We examined space–time patterns of Lyme disease incidence and the influence of ecological and social factors on spatial synchrony, i.e., correlated incidence fluctuations across US counties. Specifically, we addressed these questions: Does Lyme disease incidence exhibit spatial synchrony? If so, what geographic patterns does Lyme disease synchrony exhibit? Are geographic patterns of disease synchrony related to weather, land cover, access to health care, or tick-borne disease awareness? How do effects of these variables on Lyme disease synchrony differ geographically? We used network analysis and matrix regression to examine geographical patterns of Lyme disease synchrony and their potential mechanisms in 399 counties in the eastern and Midwestern US. We found two distinct regions of synchrony in Northeast and upper Midwest regions exhibiting opposing temporal fluctuations in incidence. Spatial patterns of Lyme disease synchrony were partly explained by land cover, weather, poverty, and awareness of tick-borne illness, with significant predictive variables changing regionally. However, the two regions may have become more synchronous over time, potentially leading to higher-amplitude nation-wide fluctuations in disease incidence.
Effects of Pressure and Characteristic Scales on the Structural and Statistical Features of Methane/Air Turbulent Premixed Flames
Authors: Bowers Jamie , Durant Eli , Ranjan Reetesh
Published: May 2024

In this study, the highly nonlinear and multi-scale flame-turbulence interactions prevalent in turbulent premixed flames are examined by using direct numerical simulation (DNS) datasets to understand the effects of increase in pressure and changes in the characteristic scale ratios at high pressure. Such flames are characterized by length-scale ratio (ratio of integral length scale and laminar thermal flame thickness) and velocity-scale ratio (ratio of turbulence intensity and laminar flame speed). A canonical test configuration corresponding to an initially laminar methane/air lean premixed flame interacting with decaying isotropic turbulence is considered. We consider five cases with the initial Karlovitz number of 18, 37, 126, and 260 to examine the effects of an increase in pressure from 1 to 10 atm with fixed turbulence characteristics and at a fixed Karlovitz number, and the changes to characteristic scale ratios at the pressure of 10 atm. The increase in pressure for fixed turbulence characteristics leads to enhanced flame broadening and wrinkling due to an increase in the range of energetic scales of motion. This further manifests into affecting the spatial and state-space variation of thermo-chemical quantities, single point statistics, and the relationship of heat-release rate to the flame curvature and tangential strain rate. Although these results can be inferred in terms of an increase in Karlovitz number, the effect of an increase in pressure at a fixed Karlovitz number shows differences in the spatial and state-space variations of thermo-chemical quantities and the relationship of the heat release rate with the curvature and tangential strain rate. This is due to a higher turbulent kinetic energy associated with the wide range of scales of motion at atmospheric pressure. In particular, the magnitude of the correlation of the heat release rate with the curvature and the tangential strain rate tend to decrease and increase, respectively, with an increase in pressure. Furthermore, the statistics of the flame-turbulence interactions at high pressure also show sensitivity to the changes in the characteristic length- and velocity-scale ratios. The results from this study highlight the need to accurately account for the effects of pressure and characteristic scales for improved modeling of such flames.
Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow
Authors: González-Herrero Sergi , Sigmund Armin , Haugeneder Michael , Hames Océane , Huwald Hendrik , Fiddes Joel , Lehning Michael
Published: May 2024

In absence of the high-frequency measurements of wind components, sonic temperature and water vapour required by the eddy covariance (EC) method, Monin–Obukhov similarity theory (MOST) is often used to calculate heat fluxes. However, MOST requires assumptions of stability corrections and roughness lengths. In most environments and weather situations, roughness length and stability corrections have high uncertainty. Here, we revisit the modified Bowen-ratio method, which we call C-method, to calculate the latent heat flux over snow. In the absence of high-frequency water vapour measurements, we use sonic anemometer data, which have become much more standard. This method uses the exchange coefficient for sensible heat flux to estimate latent-heat flux. Theory predicts the two exchange coefficients to be equal and the method avoids assuming roughness lengths and stability corrections. We apply this method to two datasets from high mountain (Alps) and polar (Antarctica) environments and compare it with MOST and the three-layer model (3LM). We show that roughness length has a great impact on heat fluxes calculated using MOST and that different calculation methods over snow lead to very different results. Instead, the 3LM leads to good results, in part due to the fact that it avoids roughness length assumptions to calculate heat fluxes. The C-method presented performs overall better or comparable to established MOST with different stability corrections and provides results comparable to the direct EC method. An application of this method is provided for a new station installed in the Pamir mountains.
Towards Energy-Balance Closure with a Model of Dispersive Heat Fluxes
Authors: Wanner Luise , Jung Martin , Paleri Sreenath , Butterworth Brian J. , Desai Ankur R. , Sühring Matthias , Mauder Matthias
Published: May 2024

In the last decades the energy-balance-closure problem has been thoroughly investigated from different angles, resulting in approaches to reduce but not completely close the surface energy balance gap. Energy transport through secondary circulations has been identified as a major cause of the remaining energy imbalance, as it is not captured by eddy covariance measurements and can only be measured additionally with great effort. Several models have already been developed to close the energy balance gap that account for factors affecting the magnitude of the energy transport by secondary circulations. However, to our knowledge, there is currently no model that accounts for thermal surface heterogeneity and that can predict the transport of both sensible and latent energy. Using a machine-learning approach, we developed a new model of energy transport by secondary circulations based on a large data set of idealized large-eddy simulations covering a wide range of unstable atmospheric conditions and surface-heterogeneity scales. In this paper, we present the development of the model and show first results of the application on more realistic LES data and field measurements from the CHEESEHEAD19 project to get an impression of the performance of the model and how the application can be implemented on field measurements. A strength of the model is that it can be applied without additional measurements and, thus, can retroactively be applied to other eddy covariance measurements to model energy transport through secondary circulations. Our work provides a promising mechanistic energy balance closure approach to 30-min flux measurements.
Neurophenomenological Investigation of Mindfulness Meditation “Cessation” Experiences Using EEG Network Analysis in an Intensively Sampled Adept Meditator
Authors: van Lutterveld Remko , Chowdhury Avijit , Ingram Daniel M. , Sacchet Matthew D.
Published: May 2024

Mindfulness meditation is a contemplative practice that is informed by Buddhism. It has been proven effective for improving mental and physical health in clinical and non-clinical contexts. To date, mainstream dialogue and scientific research on mindfulness has focused primarily on short-term mindfulness training and applications of mindfulness for reducing stress. Understanding advanced mindfulness practice has important implications for mental health and general wellbeing. According to Theravada Buddhist meditation, a “cessation” event is a dramatic experience of profound clarity and equanimity that involves a complete discontinuation in experience, and is evidence of mastery of mindfulness meditation. Thirty-seven cessation events were captured in a single intensively sampled advanced meditator (over 6,000 h of retreat mindfulness meditation training) while recording electroencephalography (EEG) in 29 sessions between November 12, 2019 and March 11, 2020. Functional connectivity and network integration were assessed from 40 s prior to cessations to 40 s after cessations. From 21 s prior to cessations there was a linear decrease in large-scale functional interactions at the whole-brain level in the alpha band. In the 40 s following cessations these interactions linearly returned to prior levels. No modulation of network integration was observed. The decrease in whole-brain functional connectivity was underlain by frontal to left temporal and to more posterior decreases in connectivity, while the increase was underlain by wide-spread increases in connectivity. These results provide neuroscientific evidence of large-scale modulation of brain activity related to cessation events that provides a foundation for future studies of advanced meditation.
Catalyzing Sustainable Investment: Revealing ESG Power in Predicting Fund Performance with Machine Learning
Authors: Momparler Alexandre , Carmona Pedro , Climent Francisco
Published: May 2024

In today’s dynamic financial landscape, the integration of environmental, social, and governance (ESG) principles into investment strategies has gained great significance. Investors and financial advisors are increasingly confronted with the crucial question of whether their dedication to ESG values enhances or hampers their pursuit of financial performance. Addressing this crucial issue, our research delves into the impact of ESG ratings on financial performance, exploring a cutting-edge machine learning approach powered by the Extreme Gradient algorithm. Our study centers on US-registered equity funds with a global investment scope, and performs a cross-sectional data analysis for annualized fund returns for a five-year period (2017–2021). To fortify our analysis, we synergistically amalgamate data from three prominent mutual fund databases, thereby bolstering data completeness, accuracy, and consistency. Through thorough examination, our findings substantiate the positive correlation between ESG ratings and fund performance. In fact, our investigation identifies ESG score as one of the dominant variables, ranking among the top five with the highest predictive capacity for mutual fund performance. As sustainable investing continues to ascend as a central force within financial markets, our study underscores the pivotal role that ESG factors play in shaping investment outcomes. Our research provides socially responsible investors and financial advisors with valuable insights, empowering them to make informed decisions that align their financial objectives with their commitment to ESG values.
Characteristic Curves of Polar Fluids: (I) The Two-Center Lennard–Jones Plus Dipole Fluid
Authors: Renneis Hans , Stephan Simon
Published: May 2024

Brown’s characteristic curves of polar fluids were studied using molecular simulation and molecular-based equation of state. The focus was on elucidating the influence of dipole interactions and the molecule elongation on the characteristic curves. This was studied using the symmetric two-center Lennard–Jones plus point dipole (2CLJD) model fluid class. This model class has two parameters (using Lennard–Jones reduced units), namely the elongation and the dipole moment. These parameters were varied in the range relevant for real substance models that are based on the 2CLJD model class. In total, 43 model fluids were studied. Interestingly, the elongation is found to have a stronger influence on the characteristic curves compared to the dipole moment. Most importantly, the characteristic curve results for the 2CLJD fluid are fully conform with Brown’s postulates (which were originally derived for simple spherical dispersive fluids). The independent predictions from the computer experiments and the theory are found to be in reasonable agreement. From the molecular simulation results, an empirical correlation for the characteristic curves of the 2CLJD model as a function of the model parameters was developed and also applied for modeling real substances. Additionally, the intersection points of the Charles and Boyle curve with the vapor-liquid equilibrium binodal and spinodal, respectively, were studied.
Bringing Self-Determination Theory to the Forefront: Examining How Human Resource Practices Motivate Employees of All Ages to Succeed
Authors: Laguerre Rick A. , Barnes-Farrell Janet L.
Published: May 2024

Self-determination theory (SDT) is widely used in human resource (HR) practice studies to explain how HR practices impact work outcomes. However, there is little empirical evidence establishing the complete SDT mediational process in the HR domain, which entails basic psychological needs and motivation acting as mediators of relations between HR practices and work outcomes. The present study addresses this issue with a mixed methods approach. Using an item classification task with subject matter experts (N = 48), HR practices were classified as autonomy-, competence-, and relatedness-supportive. Based on this scheme, we tested an SDT-based conceptual model in a three-wave sample of working adults (N = 818). Results from Multilevel Structural Equation Modeling (MSEM) support the hypothesized model: basic psychological need satisfaction and autonomous motivation mediate the relationship between HR practice perceptions and work outcomes (performance, thriving, affective organizational commitment, and turnover intentions). Autonomy-supportive practices had a positive effect on autonomy need satisfaction, while competence-supportive practices had positive associations with all three basic psychological needs. Counterintuitively, relatedness-supportive practices had negative effects on autonomy and competence need satisfaction, and the relationship between relatedness-supportive practices and autonomy need satisfaction was moderated by chronological age. We discuss our findings in the context of prominent HR studies that utilize SDT and offer a supplemental age-inclusive HR practice scheme for HR managers interested in understanding the benefits of supporting basic psychological needs from both a motivation and workforce retention standpoint.
Rectilinear convex hull of points in 3D and applications
Authors: Pérez-Lantero Pablo , Seara Carlos , Urrutia Jorge
Published: May 2024

Let P be a set of n points in $$\mathbb {R}^3$$

R

3

in general position, and let RCH(P) be the rectilinear convex hull of P. In this paper we obtain an optimal $$O(n\log n)$$

O
(
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log
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time and O(n) space algorithm to compute RCH(P). We also obtain an efficient $$O(n\log ^2 n)$$

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(
n

log
2

n
)

time and $$O(n\log n)$$

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(
n
log
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space algorithm to compute and maintain the set of vertices of the rectilinear convex hull of P as we rotate $${\mathbb {R}}^3$$

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3

around the Z-axis. We study some combinatorial properties of the rectilinear convex hulls of point sets in $$\mathbb {R}^3$$

R

3

. Finally, as an application of the obtained results, we show an approximation algorithm to an optimization fitting problem in $$\mathbb {R}^3$$

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3

.
Directional Filter Design and Simulation for Superconducting On-Chip Filter-Banks
Authors: Marting Louis H. , Karatsu Kenichi , Endo Akira , Baselmans Jochem J. A. , Pascual Laguna Alejandro
Published: May 2024

Many superconducting on-chip filter-banks suffer from poor coupling to the detectors behind each filter. This is a problem intrinsic to the commonly used half-wavelength filter, which has a maximum theoretical coupling of 50 %. In this paper, we introduce a phase-coherent filter, called a directional filter, which has a theoretical coupling of 100 %. In order to study and compare different types of filter-banks, we first analyze the measured filter frequency scatter, losses, and spectral resolution of a DESHIMA 2.0 filter-bank chip. Based on measured fabrication tolerances and losses, we adapt the input parameters for our circuit simulations, quantitatively reproducing the measurements. We find that the frequency scatter is caused by nanometer-scale line width variations and that variances in the spectral resolution is caused by losses in the dielectric only. Finally, we include these realistic parameters in a full filter-bank model and simulate a wide range of spectral resolutions and oversampling values. For all cases, the directional filter-bank has significantly higher coupling to the detectors than the half-wave resonator filter-bank. The directional filter eliminates the need to use oversampling as a method to improve the total efficiency, instead capturing nearly all the power remaining after dielectric losses.
Hate Speech Against Asian American Youth: Pre-Pandemic Trends and The Role of School Factors
Authors: Gee Kevin A. , Cooc North , Yu Peter
Published: May 2024

Although hate speech against Asian American youth has intensified in recent years—fueled, in part, by anti-Asian rhetoric associated with the COVID-19 pandemic—the phenomenon remains largely understudied at scale and in relation to the role of schools prior to the pandemic. This study describes the prevalence of hate speech against Asian American adolescents in the US between 2015 and 2019 and investigates how school-related factors are associated with whether Asian American youth are victims of hate speech at school. Analyses are based on a sample of 938 Asian American adolescents (Mage = 14.8; 48% female) from the three most recently available waves (2015, 2017, and 2019) of the School Crime Supplement to the National Crime Victimization Survey. On average, approximately 7% of Asian Americans were targets of hate speech at school between 2015 and 2019, with rates remaining stable over time. Findings also indicate that students had lower odds of experiencing hate speech if they attended schools with a stronger authoritative school climate, which is characterized by strict, yet fair disciplinary rules coupled with high levels of support from adults. On the other hand, Asian American youth faced higher odds of experiencing hate speech if they were involved in school fights. Authoritative school climate and exposure to fights are malleable and can be shaped directly by broader school climate related policies, programs and interventions. Accordingly, efforts to promote stronger authoritative climates and reduce exposure to physical fights hold considerable potential in protecting Asian American youth from hate speech at school.
Unsafe-Net: YOLO v4 and ConvLSTM based computer vision system for real-time detection of unsafe behaviours in workplace
Authors: Önal Oğuzhan , Dandıl Emre
Published: May 2024

Unsafe behaviour is a leading cause of death or injury in the workplace, including many accidents. Despite regular safety inspections in workplaces, many accidents occur as a result of breaches of occupational health and safety protocols. In these environments, despite efforts to prevent accidents and losses in hazardous environments, human error cannot be completely eliminated. In particular, in computer-based solutions, automated behaviour detection has low accuracy, is very costly, not real-time and requires a lot of time. In this study, we propose Unsafe-Net, a hybrid computer vision approach using deep learning models for real-time classification of unsafe behaviours in workplace. For the Unsafe-Net, a dataset is first specifically created by capturing 39 days of video footage from a factory. Using this dataset, YOLO v4 and ConvLSTM methods are combined for object detection and video understanding to achieve fast and accurate results. In the experimental studies, the classification accuracy of unsafe behaviours using the proposed Unsafe-Net method is 95.81% and the average time for action recognition from videos is 0.14 s. In addition, the Unsafe-Net has increased the real-time detection speed by reducing the average video duration to 1.87 s. In addition, the system is installed in a real-time working environment in the factory and employees are immediately alerted by the system, both audibly and visually, when unsafe behaviour occurs. As a result of the installation of the system in the factory environment, it has been determined that the recurrence rate of unsafe behaviour has been reduced by approximately 75%.
A framework for monitored dynamic slicing of reaction systems
Authors: Brodo Linda , Bruni Roberto , Falaschi Moreno
Published: May 2024

Reaction systems (RSs) are a computational framework inspired by biochemical mechanisms. A RS defines a finite set of reactions over a finite set of entities. Typically each reaction has a local scope, because it is concerned with a small set of entities, but complex models can involve a large number of reactions and entities, and their computation can manifest unforeseen emerging behaviours. When a deviation is detected, like the unexpected production of some entities, it is often difficult to establish its causes, e.g., which entities were directly responsible or if some reaction was misconceived. Slicing is a well-known technique for debugging, which can point out the program lines containing the faulty code. In this paper, we define the first dynamic slicer for RSs and show that it can help to detect the causes of erroneous behaviour and highlight the involved reactions for a closer inspection. To fully automate the debugging process, we propose to distil monitors for starting the slicing whenever a violation from a safety specification is detected. We have integrated our slicer in BioResolve, written in Prolog which provides many useful features for the formal analysis of RSs. We define the slicing algorithm for basic RSs and then enhance it for dealing with quantitative extensions of RSs, where timed processes and linear processes can be represented. Our framework is shown at work on suitable biologically inspired RS models.
Monotonicity of optimized quantum f-divergence
Authors: Li Haojian
Published: May 2024

Optimized quantumf-divergence was first introduced by Wilde and further explored by Li and Wilde later. Wilde raised the question of whether the monotonicity of optimized quantumf-divergence can be generalized to maps that are not quantum channels. In this paper, we answer this question by generalizing the monotonicity of optimized quantumf-divergences to positive trace preserving maps satisfying a Schwarz inequality. Any 2-positive maps satisfy such a Schwarz inequality. The main tool in this paper is the Petz recovery map.
Biomedical retractions due to misconduct in Europe: characterization and trends in the last 20 years
Authors: Freijedo-Farinas Fabián , Ruano-Ravina Alberto , Pérez-Ríos Mónica , Ross Joseph , Candal-Pedreira Cristina
Published: May 2024

The aim was to describe biomedical retractions and analyse those retracted in 2000–2021 due to research misconduct among authors affiliated with European institutions. A cross-sectional study was conducted, using Retraction Watch database, Journal Citation Reports and PubMed as data sources. Biomedical original papers, reviews, case reports and letters with at least one author affiliated with an European institution retracted between 01/01/2000 and 30/06/2021 were included. We characterized rates over time and conducted an analysis on the 4 countries with the highest number of retractions: Germany, United Kingdom, Italy and Spain. 2069 publications were identified. Retraction rates increased from 10.7 to 44.8 per 100,000 publications between 2000 and 2020. Research misconduct accounted for most retractions (66.8%). The reasons for misconduct-related retractions shifted over time, ranging from problems of copyright and authorship in 2000 (2.5 per 100,000 publications) to duplication in 2020 (8.6 per 100,000 publications). In 2020, the main reason was fabrication and falsification in the United Kingdom (6.2 per 100,000 publications) and duplication in Spain (13.2 per 100,000 publications).Retractions of papers by authors affiliated with European institutions are increasing and are primarily due to research misconduct. The type of misconduct has changed over time and differ between European countries.
On the Mode of Existence of Mute Law and the Inference of Cryptotypes
Authors: Passerini Glazel Lorenzo
Published: May 2024

A widespread thesis in the analytical theory of law is that norms exist as linguistic entities. Rodolfo Sacco is one of the authors who have most fruitfully insisted, on the contrary, that there is no necessary correlation between norms and language, not even in the specific context of law. He thus extended the conceptualisation of legal normativity well beyond the boundaries of language through the notions of cryptotype and mute law. This paper takes into account two alternative hypotheses to the hypothesis that norms exist as linguistic entities, which are respectively based on the concepts of deontic state-of-affairs and deontic noema. Both hypotheses are tested for their applicability to the phenomena investigated by Sacco under the notion of mute law, notably with reference to cryptotypes. The question is raised then of how the existence of cryptotypes can be inferred from behaviour. The paper emphasizes the role that can be played in this context by nomotrophic behaviour, that is, the behaviour that consists in a reaction to the violation of a norm.
The puzzle of plausible deniability
Authors: Peet Andrew
Published: May 2024

How is it that a speaker S can at once make it obvious to an audience A that she intends to communicate some proposition p, and yet at the same time retain plausible deniability with respect to this intention? The answer is that S can bring it about that A has a high justified credence that ‘S intended p’ without putting A in a position to know that ‘S intended p’. In order to achieve this S has to exploit a sense in which communication can be lottery-like. After defending this view of deniability I argue that it compares favorably to a rival account recently developed by Dinges and Zakkou (Mind, https://doi.org/10.1093/mind/fzac056, 2023).
Rutin Nanoparticles Alleviate Cadmium-Induced Oxidative and Immune Damage in Broilers’ Bursa of Fabricius via Modulating Hsp70/TLR4/NF-κB Signaling Pathway
Authors: Abomosallam Mohamed , Hendam Basma M. , Shouman Zeinab , Refaat Rasha , Hashem Nada M. A. , Sakr Shimaa A. , Wahed Noha M.
Published: May 2024

Cadmium (Cd) is a serious environmental pollutant affecting various tissues/organs in broilers and compromising their immunological function and productivity. Therefore, the current study aimed to investigate Cd-induced immunotoxicity and potential immunoprotective effect of rutin nanoparticles (RNPs) in the bursal tissue of broilers. A total number of 150 chicks from the Hubbard breed were randomly divided into 5 groups. Group I was fed on standard basal diet (SD) with normal drinking water (DW), Group II received SD containing RNPs (50 mg/kg feed) with DW, Group III fed on SD and DW containing Cd (150 mg/L), Group IV co-treated with rutin-enforced SD (50 mg/kg diet) and DW containing Cd (150 mg/L), and finally, Group V co-supplemented with RNP-enhanced SD (50 mg/kg diet) DW containing Cd (150 mg/L). Productive performance, economic efficiency, oxidative biomarkers, histopathological changes, and the expression level of TLR-4, HSP-70, caspase 3, NF-κB, Bcl-2, and Bax were assessed in the BF tissue. Cd led to severe production and economic losses in exposed birds with a marked surge of oxidative biomarkers, pro-inflammatory cytokines, and histopathological changes in the bursal tissue which could be explained through upregulation of the Hsp70/TLR4/NF-κB molecular pathway in the BF tissue. Meanwhile, RNPs could alleviate most of these changes and prevail optimistic immunomodulatory properties which subsequently could enhance broilers’ productivity when incorporated in their diets.

Graphical Abstract
Meta-analysis of associations between five-factor personality traits and problematic social media use
Authors: Meynadier Jai , Malouff John M. , Schutte Nicola S. , Loi Natasha M.
Published: May 2024

This meta-analysis quantified the relationship between the five-factor model of personality and problematic social media use and identified moderators of this relationship. The analysis used a random-effects model to calculate a correlation for each factor and included 113 samples, with a total of 53,913 participants, identified from systematic searches of four databases. Moderator analyses were used to investigate potential causes of heterogeneity. The meta-analysis found that high neuroticism (r = .21, p < .001, 95% CI [.19, .23]), low conscientiousness (r = -.16, p < .001, 95% CI [-.19, -.13]), low agreeableness (r = -.07, p < .001, 95% CI [-.10, -.05]), and low openness (r = -.04, p = .001, 95% CI [-.06, -.02]) were significantly associated with problematic social media use. Several significant moderator effects were found. The meta-analysis contributes to the understanding of the relationship between individual characteristics and problematic social media use and provides information that might be useful in preventing and treating this behaviour.
Bearing capacity of shallow foundations: a focus on the depth factors in combination with the respective N-factors
Authors: Pantelidis Lysandros
Published: May 2024

The ongoing refinement of bearing capacity equations remains pivotal in soil mechanics and foundation engineering, reflecting its critical role in ensuring design efficacy and construction safety. This study conducts a thorough evaluation of classical bearing capacity methods—Terzaghi, Meyerhof, Vesic, and Hansen—and methods included in various design standards, such as EN1997:2004, prEN1997:2023, GEO, AASHTO, FHWA, and API. It explores the performance and applicability of these approaches, identifying areas for potential improvement. In response to identified challenges, the paper proposes the integration of a unified depth factor. This new factor is designed to be applicable across all N-terms, providing a more versatile and accurate tool for bearing capacity predictions. Unlike the original depth factors unique to each method, which may not fully address complex soil and footing conditions, the unified depth factor is developed to enhance prediction accuracy for a wide range of conditions, including both flexible and rigid footings under varying flow rules (ψ = 0 and ψ = φ). This depth factor corrects for modeling errors, emphasizing the importance of pairing the correct set of N-factors with their corresponding depth factor. By offering a singular depth factor that aligns with the outcomes of finite element analysis, this paper not only simplifies the computational process but also enhances the accuracy of bearing capacity predictions across a diverse range of soil conditions and footing types. The comparative analysis, based on finite element analysis, validates the proposed method’s effectiveness, showcasing its potential to significantly refine foundation design practices by comparing it with both traditional and newly developed depth factors.
Artificial Intelligence, data protection and medical device regulations: squaring the circle with a historical perspective in Europe
Authors: Pecchia Leandro , Maccaro A. , Matarrese M. A. G. , Folkvord F. , Fico G.
Published: May 2024

Purpose

This manuscript presents a parallel among important EU legal frameworks, such as the Medical Device Regulations and General Data Protection Regulation and economic-historical challenges faced by European citizens. This parallel offers a prospective for understanding the direction taken by policymakers for forthcoming regulations, such as the European Health Data Space and the AI-Act.

Method

The paper describes key commonalities and differences among those regulations, which may help scholars working with AI in medicine, navigating this articulated legal framework.

Results

The European Union journey started with the European Coal and Steel Community, enforced after the WWII for nurturing European physical reconstruction and as a mean for peacekeeping: without coil it was not possible to transform steel, and with shared control of steel it was not possible for individual member states to build war weapons.

Conclusions

In this century, modern coal are data and modern steel is the AI, which is a crucial enabler for European economy growth and competitiveness, and, potentially, a powerful war weapon. Ensuring a fair data-sharing and correct use of AI is crucial for sustainable development, peace, and democracy in Europe and beyond.
Alleviation of Apple Replant Disease in Sandy Soils by Clay Amendments
Authors: Schimmel Jessica , Gentsch Norman , Boy Jens , Uteau Daniel , Rohr Annmarie-Deetja , Winkelmann Traud , Busnena Belnaser , Liu Benye , Krueger Jiem , Kaufhold Stephan , Rammlmair Dieter , Dultz Stefan , Maurischat Philipp , Beerhues Ludger , Guggenberger Georg
Published: May 2024

Purpose

The production of apple fruits in orchards or plants in tree nurseries is negatively affected by apple replant disease (ARD), worldwide. Our objective was to develop a method to counteract ARD without applying chemical soil disinfection. We tested if an addition of clays with high release of plant available silicon reduces ARD symptoms and a biochemical effect of silicon on the plant defence reaction occurs.

Methods

In a greenhouse experiment, apple rootstocks ‘M26’ were grown for 8 weeks in a sandy replant soil, a heat disinfected control and a grassland soil (Grass) with and without amendment by bentonite and the clay blend Florisol®TM Profi (6 and 18%). The micromorphology of silica bodies (phytoliths) in roots and the phytoalexin concentration as a measure of the defence reaction of roots were analysed. In a second approach, the gene expression of ARD biomarkers involved in phytoalexin biosynthesis was determined after two weeks.

Results

Normalised gene expression was significantly higher for the ARD soil with clay amendments compared to the ARD variant whereas phytoalexin concentrations were similar. Significantly lower phytoalexin levels were found in the heat disinfected and Grass variant, indicating less defence reaction than in the ARD variant. Clay amendment increased soluble silicon in the substrates and consequently silicon in the epidermis and vascular bundles, indicating high silicon accumulation. Plants grown in ARD and Grass with amendments showed improved growth compared to plants grown in the respective soils without amendments.

Conclusion

The amendment of soil by clays rich in plant available silicon may counteract ARD symptoms.
Perfluorodecalin allows resuspension and prevents sediment solidification of extended-release drug formulations in primary packaging
Authors: Primavessy Daniel , Büttner Sarah , Saaler-Reinhardt Sigrid
Published: May 2024

In this technical note we show with two simple experiments how Perfluorodecalin (PFD), an injectable perfluorocarbon, can be used as an agent for resuspending microparticulate suspensions in primary packaging containers for injection. Furthermore, we explain how this can be a substantial improvement regarding patient compliance in comparison to the commonly used gas headspace for resuspension. Our experiments are conducted with poly(lactic-co-glycolic acid) particles (often used in extended-release pharmaceutical formulations for injection) and in primary packaging that is commonly used in injection devices (glass cartridges). The results show that our method is feasible for resuspension and moreover even sediment solidification/caking is reduced. The differences between the two datasets collected are statistically significant with p < 0.01 in both cases.

Graphical Abstract
Dual threshold input receiver FPGA-only signal digitization method for time-of-flight positron emission tomography
Authors: Ko Guen Bae , Lee Jae Sung
Published: May 2024

As silicon photomultiplier (SiPM)-based time-of-flight (TOF) positron emission tomography (PET) becomes popular, the need for sophisticated PET data acquisition (DAQ) systems is increasing. One promising solution to this challenge is the adoption of a field-programmable gate array (FPGA)-only signal digitization method. In this paper, we propose a new approach to efficiently implement an FPGA-only digitizer. We configured the input/output (IO) port of the FPGA to function as a dual-threshold voltage comparator through the use of simple passive circuitry and heterogeneous IO standards. This configuration overcomes the limitations of existing methods by allowing different threshold voltages for adjacent IO pins, effectively reducing routing complexity and lowering manufacturing costs. An FPGA-only digitizer was implemented by integrating the dual-threshold voltage comparator and FPGA-based time-to-digital converter. By combining the dual-threshold time-over-threshold (TOT) method and curve fitting, precise energy information could be obtained. The performance of the FPGA-only digitizer was assessed using a detector setup comprising a 3 × 3 × 20 mm3 LYSO scintillation crystal and a single pixel SiPM. Using the configured evaluation setup, an energy resolution of 12.5% and a time resolution of 146 ± 9 ps were achieved for a 20 mm scintillation crystal. The dual-threshold TOT implemented using the proposed method showed consistent linearity across an energy range of 100 keV to 600 keV. The proposed method is well-suited for the development of cost-effective DAQ systems in highly integrated TOF PET systems.
Risks of pesticides on aquatic ecosystems and pesticide management effectiveness in Ethiopia: review
Authors: Abaineh A. , Ejigu D. , Atlabachew M. , Dejen E. , Tilahun G.
Published: May 2024

Despite their significance in food security, pesticides have the potential to seriously harm both the environment and human health. It may lower the rates of egg hatching, offspring growth, vision, illness resistance, predator avoidance, and overall population survival. Nevertheless, over 75% of Ethiopian farmers lack the literacy to read pesticide labels and comprehend the consequences of pesticide residues on the environment. Pesticides are mixed and applied in close proximity to bodies of water, including sources of drinkable water. Farmers in the country overuse and misuse the pesticides without worrying about its negative effects. Ethiopia failed to adequately enforce its environmental protection laws to reduce the harmful effects of pesticide residues. The aim of this review is to summarize the trends of pesticide use, the effects of pesticide residues on aquatic ecosystems, the pesticide application practices, and the level of enforcement of pesticide laws in the country. The literature search was done using different search engines. Disagreement among policies, absence of liability for overlooking duties, negligence of the pesticide effects on human health and the environment, and a strong commitment to short-term economic growth are reasons for ineffective law enforcement. Regular supply chain inspections, management of pesticide use, and widespread awareness campaigns are crucial steps to reduce the harmful effects of pesticides on the environment, living things, and humans. Establishing pesticide-free buffer zones for water bodies, replacing the contradictory sectorial policies with integrated development policy, and executing the policy objectives are also crucial steps that need to be taken.