bluuebunny/crossref_metadata_2025 huggingface dataset:
A Structure-Preserving Semi-implicit IMEX Finite Volume Scheme for Ideal Magnetohydrodynamics at all Mach and Alfvén Numbers
Authors: Boscheri Walter , Thomann Andrea
Published: July 2024

We present a divergence-free semi-implicit finite volume scheme for the simulation of the ideal magnetohydrodynamics (MHD) equations which is stable for large time steps controlled by the local transport speed at all Mach and Alfvén numbers. An operator splitting technique allows to treat the convective terms explicitly while the hydrodynamic pressure and the magnetic field contributions are integrated implicitly, yielding two decoupled linear implicit systems. The linearity of the implicit part is achieved by means of a semi-implicit time linearization. This structure is favorable as second-order accuracy in time can be achieved relying on the class of semi-implicit IMplicit–EXplicit Runge–Kutta (IMEX-RK) methods. In space, implicit cell-centered finite difference operators are designed to discretely preserve the divergence-free property of the magnetic field on three-dimensional Cartesian meshes. The new scheme is also particularly well suited for low Mach number flows and for the incompressible limit of the MHD equations, since no explicit numerical dissipation is added to the implicit contribution and the time step is scale independent. Likewise, highly magnetized flows can benefit from the implicit treatment of the magnetic fluxes, hence improving the computational efficiency of the novel method. The convective terms undergo a shock-capturing second order finite volume discretization to guarantee the effectiveness of the proposed method even for high Mach number flows. The new scheme is benchmarked against a series of test cases for the ideal MHD equations addressing different acoustic and Alfvén Mach number regimes where the performance and the stability of the new scheme is assessed.
Portosystemic Hepatic Encephalopathy Scores (PHES) differ between Danish and German healthy populations despite their geographical and cultural similarities
Authors: Lauridsen Mette Munk , Grønkjær Lea Ladegaard , Atkins Jeppe Holm , Mikkelsen Stine Ulrik , Svensson Tintin , Kimer Nina , Hecker Hartmut , Berg-Beckhoff Gabriele , Weissenborn Karin , Vilstrup Hendrik
Published: July 2024

Minimal hepatic encephalopathy (MHE) is common in liver cirrhosis and is identified by psychometric tests. The portosystemic hepatic encephalopathy score (PHES) is the most widely used and serves as an inter-study comparator. PHES has not been standardised for use in the Danish population, where German normal values have been applied until now based on the notion that the populations are comparable. This study aimed to evaluate if German PHES normal values can be applied in the Danish population and establish Danish normal values if needed. 200 Danish and 217 German healthy persons underwent Number Connection Test A and B (NCT), Line Tracing Test (LTT), Digit Symbol Test (DST), and Serial Dotting Test (SDT), and based on performance, PHES was calculated. German and Danish PHES performance declined with age in all subtests but more rapidly in Danes. Both German and Danish norms were impacted by gender and education, but to a different extent in the single tests of the test battery. Accordingly, there was a need for specific Danish normal values, which are presented here. Applying the new Danish normal values instead of the German in patients with cirrhosis yielded a lower percentage of out-of-norm performances (58% vs. 66%) and, hence, a lower prevalence of MHE. Danes and Germans perform differently on PHES, and therefore, normal German values cannot be used in Danish patients. Danish normal values are presented here and yield a lower number of ‘out of norm’ performances.
A computed tomography-based limit analysis approach to investigate the mechanical behavior of the human femur prone to fracture
Authors: Falcinelli Cristina , Pisano Aurora Angela , Vasta Marcello , Fuschi Paolo
Published: July 2024

The paper proposes a refined CT-based FE modelling strategy that implements a limit analysis numerical procedure, namely the Elastic Compensation Method (ECM), to estimate a lower bound to the collapse load of a human femur. In particular, the model geometry was obtained from CT images by segmentation of a fresh-frozen human cadaveric femur that was discretized with second-order tetrahedral 3D finite elements. A yield criterion of Tsai–Wu-type, expressed in principal stress space, was adopted to model the bone tissues for which the strength limit values in tension, compression and shear are computed locally from the femoral density distribution also derived from CT images. The developed CT-based numerical technique showed the ability to predict, at least for the examined femur for which the experimental collapse load is available, a lower bound to the collapse load. The proposed approach seems a promising and effective tool that could be adopted into clinical practice to predict the fracture risk of human femur starting from patient-specific data given by medical imaging.
Challenging by Cueing? An Investigation of Party and Leader Cueing Effects Across Mainstream and Challenger Party Voters
Authors: Torcal Mariano , Martini Sergio , Carty Emily
Published: July 2024

The emergence of new challenger parties calls for a reassessment of the party-model of opinion formation by examining different sources of cues across types of voters and the conditions that make cueing more effective. Although new challenger parties may lack sufficient time to develop identification with groups and distinctive party reputations, they may still provide effective cues and reduce their competitive disadvantage in developing affective social identity ties. This article investigates this argument by assessing the impact of party and leader cues on voters from mainstream and challenger parties and examining how expressive partisanship (partisan social identities) and instrumental partisanship (party competence evaluations) moderate these effects. Utilizing data from a survey experiment conducted in Spain during a period of party system restructuring, we find similar cueing effects across party and leader cues when comparing voters of both mainstream and challenger parties. Additionally, contrary to our expectations, we observe that cueing effects for mainstream party voters combine expressive and instrumental reasoning, while those for new challenger party voters are driven by perceptions of party competence reputation only. These findings challenge the prevailing belief that familiarity and time enhance cueing effects. They also deviate from socio-psychological approaches that emphasize the emotional and identity components of partisanship in strengthening cueing effects.
Model-Based Estimation of Small Area Dissimilarity Indexes: An Application to Sex Occupational Segregation in Spain
Authors: Bugallo María , Morales Domingo , Esteban María Dolores , Pagliarella Maria Chiara
Published: July 2024

This paper introduces a new statistical methodology for estimating Duncan dissimilarity indexes of occupational segregation by sex in administrative areas and time periods. Given that direct estimators of the proportion of men (or women) in the group of employed people for each occupational sector are not accurate enough in the considered estimation domains, we fit to them a three-fold Fay–Herriot model with random effects at three hierarchical levels. Based on the fitted area-level model, empirical best predictors of the cited proportions and Duncan segregation indexes are derived. A parametric bootstrap algorithm is implemented to estimate the mean squared error. Some simulation studies are included to show how the proposed predictors have a good balance between bias and mean squared error. Data from the Spanish Labour Force Survey are used to illustrate the performance of the new statistical methodology and to give some light about the current state of sex occupational segregation by province in Spain. Research claims that there is a sex gap that persists despite advances in the inclusion of women in the labour market in recent years and that is related to the unequal sharing of family responsabilities and the stigmas still present in modern societies.
Geologic Constraints on the Formation and Evolution of Saturn’s Mid-Sized Moons
Authors: Rhoden Alyssa Rose , Ferguson Sierra N. , Bottke William , Castillo-Rogez Julie C. , Martin Emily , Bland Michael , Kirchoff Michelle , Zannoni Marco , Rambaux Nicolas , Salmon Julien
Published: July 2024

Saturn’s mid-sized icy moons have complex relationships with Saturn’s interior, the rings, and with each other, which can be expressed in their shapes, interiors, and geology. Observations of their physical states can, thus, provide important constraints on the ages and formation mechanism(s) of the moons, which in turn informs our understanding of the formation and evolution of Saturn and its rings. Here, we describe the cratering records of the mid-sized moons and the value and limitations of their use for constraining the histories of the moons. We also discuss observational constraints on the interior structures of the moons and geologically-derived inferences on their thermal budgets through time. Overall, the geologic records of the moons (with the exception of Mimas) include evidence of epochs of high heat flows, short- and long-lived subsurface oceans, extensional tectonics, and considerable cratering. Curiously, Mimas presents no clear evidence of an ocean within its surface geology, but its rotation and orbit indicate a present-day ocean. While the moons need not be primordial to produce the observed levels of interior evolution and geologic activity, there is likely a minimum age associated with their development that has yet to be determined. Uncertainties in the populations impacting the moons makes it challenging to further constrain their formation timeframes using craters, whereas the characteristics of their cores and other geologic inferences of their thermal evolutions may help narrow down their potential histories. Disruptive collisions may have also played an important role in the formation and evolution of Saturn’s mid-sized moons, and even the rings of Saturn, although more sophisticated modeling is needed to determine the collision conditions that produce rings and moons that fit the observational constraints. Overall, the existence and physical characteristics of Saturn’s mid-sized moons provide critical benchmarks for the development of formation theories.
Salient semantics
Authors: Reuter Kevin
Published: July 2024

Semantic features are components of concepts. In philosophy, there is a predominant focus on those features that are necessary (and jointly sufficient) for the application of a concept. Consequently, the method of cases has been the paradigm tool among philosophers, including experimental philosophers. However, whether a feature is salient is often far more important for cognitive processes like memory, categorization, recognition and even decision-making than whether it is necessary. The primary objective of this paper is to emphasize the significance of researching salient features of concepts. I thereby advocate the use of semantic feature production tasks, which not only enable researchers to determine whether a feature is salient, but also provide a complementary method for studying ordinary language use. I will discuss empirical data on three concepts, conspiracy theory, female/male professor, and life, to illustrate that semantic feature production tasks can help philosophers (a) identify those salient features that play a central role in our reasoning about and with concepts, (b) examine socially relevant stereotypes, and (c) investigate the structure of concepts.
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM
Authors: Cho Sun-Joo , Brown-Schmidt Sarah , Clough Sharice , Duff Melissa C.
Published: July 2024

This paper presents a model specification for group comparisons regarding a functional trend over time within a trial and learning across a series of trials in intensive binary longitudinal eye-tracking data. The functional trend and learning effects are modeled using by-variable smooth functions. This model specification is formulated as a generalized additive mixed model, which allowed for the use of the freely available package (Wood in Package ‘mgcv.’ https://cran.r-project.org/web/packages/mgcv/mgcv.pdf, 2023) in . The model specification was applied to intensive binary longitudinal eye-tracking data, where the questions of interest concern differences between individuals with and without brain injury in their real-time language comprehension and how this affects their learning over time. The results of the simulation study show that the model parameters are recovered well and the by-variable smooth functions are adequately predicted in the same condition as those found in the application.
Search for new steroidal glycosides with anti-cancer potential from natural resources
Authors: Matsuo Yukiko , Mimaki Yoshihiro
Published: July 2024

Chemical investigations of higher plants, with particular attention paid to their steroidal glycosides, present a promising approach for generating anti-cancer agents from natural products. We conducted a systematic phytochemical investigation of nine higher plants—whole plants and rhizomes of Convallaria majalis, whole plants of Agave utahensis, roots of Adonis amurensis, seeds of Adonis aestivalis, bulbs of Bessera elegans, bulbs of Fritillaria meleagris, seeds of Digitalis purpurea, underground parts of Yucca glauca, and bulbs of Lilium pumilum—which led to the discovery of novel steroidal glycosides. The structures of these new constituents were determined based on spectroscopic data and chemical transformations. The identification of the monosaccharides including their absolute configurations was carried out by direct HPLC analysis of their hydrolysates using an optical rotation detector. Cytotoxicity of the isolated steroidal glycosides was evaluated against various tumor cells (A549, ACHN, HepG-2, HL-60, HSC-2, HSC-3, HSC-4, HSG, and SBC-3) and normal cells (Fa2 N-4, HK-2, and TIG-3 cells). Certain steroidal glycosides exhibit selective cytotoxicity and synergistic effects, making them potential lead compounds for use as anti-cancer agents. We document the isolation of 139 steroidal glycosides from higher plants and assessment their cytotoxic activities.

Graphical abstract
Level of thermal maturity estimation in unconventional reservoirs using interval inversion and simulating annealing method
Authors: Valadez Vergara Rafael , Szabó Norbert Péter
Published: July 2024

This study presents a novel geophysical approach for estimating the level of thermal maturity (LOM) in unconventional hydrocarbon reservoirs using well log data. LOM is a crucial parameter for assessing the hydrocarbon generation potential of source rocks, but it traditionally relies on laboratory measurements of core samples, which can be time-consuming and costly. The proposed method combines two techniques: interval inversion for estimating total organic carbon (TOC) content from well logs and simulated annealing (SA) optimization for deriving LOM from the estimated TOC. The interval inversion method enables accurate TOC estimation by jointly interpreting multiple well logs over depth intervals, overcoming limitations of conventional point-by-point inversion. Using the estimated TOC, the SA algorithm optimizes an energy function related to Passey's empirical TOC-LOM relationship, iteratively finding the optimal LOM value that best fits the well log data. This approach provides a continuous in situ LOM profile along the borehole without requiring core measurements. The effectiveness of the method is demonstrated through case studies on datasets from the North Sea (Norway), the Pannonian Basin (Hungary), and the Kingak Formation (Alaska). The LOM estimates show good agreement with reported maturity levels and allow reliable reservoir characterization. Statistical analysis confirms the robustness and accuracy of the results. By reducing dependence on core data, this integrated inversion-optimization workflow streamlines the reservoir prospecting phase, enhancing operational efficiency. The method holds promising applications across diverse geological settings for cost-effective evaluation of unconventional hydrocarbon plays.
Internal Medicine Program Directors’ Perceptions About Accommodating Residents with Disabilities: A Qualitative Study
Authors: Salinger Maggie , Nguyen Mytien , Moreland Christopher J. , Thorndike Anne N. , Meeks Lisa M.
Published: July 2024

Background

While 26% of US adults are disabled, only 3.1 to 9.3% of practicing physicians report having a disability. Ableism within medical training and practice diminishes physician diversity and wellbeing and contributes to healthcare disparities.

Objective

Explore physician barriers to disability equity and inclusion by examining internal medicine (IM) program directors’ (PD) perspectives about recruiting and accommodating residents with disabilities (RWD).

Design

Qualitative study involving semi-structured virtual interviews (conducted December 2022–September 2023; analyzed through December 2023).

Participants

PDs were recruited via email. Purposive sampling captured program diversity in size, location, and affiliations. Convenience sampling ensured PD diversity by gender, race/ethnicity, and age.

Approach

Coders analyzed thematic and discursive content of interview transcripts to characterize PD perspectives about RWDs and accommodations.

Key Results

Of the 15 programs represented, 4 had ≤ 49 and 8 had ≥ 100 total residents. Three were community-based; the rest had academic affiliations. On average, PDs had 17 (SD 8.2) years in practice. Most (11/15) identified as White race; 8/15 as female; and none as disabled. PDs characterized disability as a source of grit and empathy but also as an intrinsic deficit. They worried RWDs could have unpredictable absences and clinical incompetencies. Perceived accommodation challenges included inexperience, workload distribution, information asymmetry about accommodation needs or options, barriers to disclosure (e.g., discrimination concerns), and insufficient accommodation advertising. Perceived facilitators included advanced planning; clear, publicized processes; and access to expertise (e.g., occupational health, ombudsmen).

Conclusions

PDs held contradictory views of RWDs. PD insights revealed opportunities to alleviate PD-RWD information asymmetry in recruitment/accommodation processes, which could help align needs and improve representation and inclusion.

Visual Abstract
Tarnished jewellery and skin – a subtle external marker indicating exposure to hydrogen sulfide
Authors: Gilbert John D. , Byard Roger W.
Published: July 2024

A 39-year-old woman was found lying in the rear of a car at her home address. A smell of rotten eggs was noted and bottles of brick, tile and paver cleaner and lime sulfur were found in the rear of the vehicle. Suicide notes were found in the house. At autopsy there was no evidence of significant trauma with black tarnishing of a silver-coloured ring and a silver-coloured necklace noted with staining of the underlying skin, in keeping with a chemical reaction between hydrogen sulfide and silver. Internally the most significant finding was unusual greenish discolouration of the gray matter of the external and cut surfaces of the cerebral hemispheres, cerebellum and brain stem. No other organs had this discoloration. Death was attributed to hydrogen sulfide poisoning. Skin discoloration from silver jewellery may represent a subtle external marker for lethal or non-lethal hydrogen sulfide exposure.
Expert and operator perspectives on barriers to energy efficiency in data centers
Authors: Newkirk Alex C. , Hanus Nichole , Payne Christopher T.
Published: July 2024

It was last estimated in 2016 that data centers (DCs) comprise approximately 2% of total US electricity consumption. However, this estimate is currently being updated to account for the massive increase in computing needs due to streaming, cryptocurrency, and artificial intelligence (AI). To prevent energy consumption that tracks with increasing computing needs, it is imperative we identify energy efficiency strategies and investments beyond the low-hanging fruit solutions. In a two-phased research approach, we ask: What non-technical barriers still impede energy efficiency (EE) practices and investments in the data center sector, and what can be done to overcome these barriers? In particular, we are focused on social and organizational barriers to EE. In Phase I, we performed a literature review and found that technical solutions are abundant in the literature, but fail to address the top-down cultural shifts that need to take place in order to adapt new energy efficiency strategies. In Phase II, reported here, we interviewed 16 data center operators/experts to ground-truth our literature findings. Our interview protocols focus on three aspects of DC decision-making: procurement practices, metrics and monitoring, and perceived barriers to energy efficiency. We find that vendors are the key drivers of procurement decisions, advanced efficiency metrics are facility-specific, and there is convergence in the design of advanced facilities due to the heat density of parallelized infrastructure. Our ultimate goals for our research are to design DC decarbonization policies that target organizational structure, empower individual staff, and foster a supportive external market.
Ten questions in sports engineering: supershoe use in distance running
Authors: Dyer Bryce
Published: July 2024

Footwear used in competitive distance running has remained relatively unchanged in nature for decades. However, such technology has recently generated controversy with the introduction of so-called ‘supershoes’. Such footwear appear both aesthetically and functionally different to those used prior to their introduction and their arrival coincided with a spate of distance running world records being broken. The ten questions presented in this paper address a series of issues that relate to supershoes. These include their definition, what level of performance enhancement they provide and what impact they have had in competitive sport. Furthermore, it is explored how such technology is regulated and whether it should be considered fair. Via these questions, we hope to inform readers towards a greater understanding of this form of sports technology and highlight research and engineering gaps for future work.
Physics-Guided Inverse Regression for Crop Quality Assessment
Authors: Shulman David , Israeli Assaf , Botnaro Yael , Margalit Ori , Tamir Oved , Naschitz Shaul , Gamrasni Dan , Shir Ofer M. , Dattner Itai
Published: July 2024

We present an innovative approach leveraging Physics-Guided Neural Networks (PGNNs) for enhancing agricultural quality assessments. Central to our methodology is the application of physics-guided inverse regression, a technique that significantly improves the model’s ability to precisely predict quality metrics of crops. This approach directly addresses the challenges of scalability, speed, and practicality that traditional assessment methods face. By integrating physical principles, notably Fick’s second law of diffusion, into neural network architectures, our developed PGNN model achieves a notable advancement in enhancing both the interpretability and accuracy of assessments. Empirical validation conducted on cucumbers and mushrooms demonstrates the superior capability of our model in outperforming conventional computer vision techniques in postharvest quality evaluation. This underscores our contribution as a scalable and efficient solution to the pressing demands of global food supply challenges.
Necessary and sufficient conditions for the irreducibility of a linear representation of the braid group $$B_n$$
Authors: Nasser Mohamad N.
Published: July 2024

Valerij G. Bardakov and P. Bellingeri introduced a new linear representation $$\bar{\rho }_F$$

ρ

¯

F

of degree $$n+1$$

n
+
1

of the braid group $$B_n$$

B
n

. We study the irreducibility of this representation. We prove that $$\bar{\rho }_F$$

ρ

¯

F

is reducible to the degree $$n-1$$

n
-
1

. Moreover, we give necessary and sufficient conditions for the irreducibility of the complex specialization of its $$n-1$$

n
-
1

degree composition factor $$\bar{\phi }_F$$

ϕ

¯

F

.
Stochastic dominance testing of poverty in Mozambique
Authors: Salvucci Vincenzo , Tarp Finn
Published: July 2024

National assessments produced regularly from 1996/97 to 2019/20 provide standard estimates of the evolution of poverty in Mozambique. Stylised facts point to significant reduction in monetary and multidimensional poverty until 2014/15, even though characterised by persistent urban–rural and regional inequalities in several dimensions, followed by worsening deprivation during 2014/15–2019/20. In this paper, we rely on first-order dominance (FOD) methodology to check the robustness of standard poverty estimates while providing deeper insights into what happened in this poverty-stricken country. Our main findings include that the capital city, Maputo, and surrounding areas progressively came to dominate all other provinces in terms of well-being, and the provincial rankings from spatial FOD analysis are very stable over time. Rural areas, mainly those in the northern and central regions, are, with a few exceptions, always at the bottom of the ranking. Moreover, our FOD temporal analysis reveals that 2019/20 dominates, with a high degree of confidence, the results from earlier years, pointing to positive development over time, but with one important exception. The comparison between 2019/20 and 2014/15 is indeterminate, indicating that no significant advancement took place during this period. What stands out is the compelling need for concerted policy action to address the strong and persistent spatial gaps in welfare and poverty, including the capacity to respond effectively to external and internal shocks.
The role of emotional appeal in water conservation communication: a framework for social media engagement
Authors: Abu Bakar Mohammad Fahmi , Wu Wenyan , Proverbs David , Mavritsaki Eirini
Published: July 2024

Amidst growing concerns about water shortages, harnessing the potential of social media emerges as a crucial strategy in attempts to conserve consumption While informative messaging in environmental communication has been widely acknowledged, the role of emotional appeal remains underexplored. This study aims to bridge this gap by proposing a comprehensive framework that integrates emotional appeal, evoked through video creativity and multimedia effects. Focusing on the UK context and informed by the Theory of Planned Behavior (TPB) and the Elaboration Likelihood Model (ELM), the study highlights the complex interplay between cognitive and affective factors in water conservation communication. By applying Structural Equation Modeling (SEM) to a dataset containing 443 responses, the analysis reveals that emotional appeal, when evoked through creativity, not only positively influences individuals’ attitudes but also extends to shape perceived behavioural control. These findings further emphasise the ability of emotional appeal to serve as a complementary aspect that enriches individuals’ motivational framework and influences their inclination towards engaging in the intended behaviour. The study has important implications for improving current marketing efforts and encouraging behavioural shifts among water consumers. By including emotional appeal in social media communication strategies, environmental communicators can build empathy and promote sustainability more effectively. Additionally, this study offers a valuable understanding of the complex nature of water conservation communication, providing practical strategies for enhancing environmental messaging and encouraging positive behaviour changes.
Thoracic computed tomography (CT) image-based identification and severity classification of COVID-19 cases using vision transformer (ViT)
Authors: Taye Gizatie Desalegn , Sisay Zewdie Habtie , Gebeyhu Genet Worku , Kidus Fisha Haileslassie
Published: July 2024

In this research, we developed a two-stage deep learning (DL) model using Vision Transformer (ViT) to detect COVID-19 and assess its severity from thoracic CT images. In the first stage, we utilized a pre-trained ViT model (ViT_B/32) and a custom CNN model to classify CT images as COVID-19 or non-COVID-19. The ViT model achieved superior performance with a fivefold cross-validated accuracy of 99.7%, compared to the custom CNN’s 98%. In the second stage, we employed a ViT-based U-Net model (Vision Transformer for Biomedical Image Segmentation, VITBIS) to segment lung and infection regions in COVID-19 positive CT images, determining the infection severity. This model uses transformers with attention mechanisms in both the encoder and decoder. The lung segmentation network achieved an Intersection Over Union (IOU) of 95.8% and a sensitivity of 99.67%, while the lesion segmentation network attained an IOU of 94% and a sensitivity of 98.3%.
Remarks on the functional morphology of the earliest mammals
Authors: Preuschoft Holger , Martin Thomas , Werneburg Ingmar
Published: July 2024

The earliest mammals are characterized by a series of derived characters when compared to their synapsid predecessors. In comparison to non-mammalian synapsids, these features include highly efficient teeth, a small body size, a parasagittal limb posture, as well as a reduced number of ribs and girdle elements and light-weighted tails. We argue that the mammalian body construction and its functionality are constituted by a set of partially interrelated morphological traits, including akinetic skulls, tooth anatomy, and food processing; body size, locomotor speed, and tail reduction; the posture of the body and the construction of the girdle elements; as well as body torsion and rib reduction. By discussing these features from a biomechanical view, we demonstrate that high speed was the most important evolutionary advantage of the small earliest mammals over their larger synapsid ancestors, as well as over dinosaurs at the end of the Mesozoic.
Percutaneous transluminal angioplasty of femoropopliteal veins for	treatment of post-thrombotic syndrome
Authors: Zbinden Stephanie , Wyss Doerte , Wolf Simon , Kucher Nils , Holy Erik W.
Published: July 2024

Summary: Background: Controversy persists concerning the endovascular treatment of the post-thrombotic syndrome (PTS), particularly if femoropopliteal veins are involved. Methods: We screened consecutive patients with PTS who underwent percutaneous transluminal angioplasty (PTA) of femoropopliteal veins using posterior tibial or popliteal vein access who had at least 3-month follow-up. Our assessment included the evaluation of primary and secondary patency of the treated segments by Doppler ultrasound (DUS) and clinical outcomes measured by the change in Villalta score as well as ulcer healing. Results: Among 29 patients, 8 (27.7%) were women and the mean (SD) age was 53.3 (13.6) years. Posterior tibial vein and popliteal access were used in 26 (89.7%) and 3 patients (10.3%), respectively. 13 (44.8%) patients had prior (n = 11, 37.9%) or concomitant (n = 9, 31.0%) endovascular treatment of the iliac or common femoral veins. At a median follow-up of 395 days (Q1: 205–Q3: 756 days), primary patency of femoropopliteal veins was 79.3% (95% CI 64.6–94.1%) and secondary patency was 82.8% (95% CI, 69.0–96.5%). The percentage of patients with moderate or severe PTS according to the Villalta score decreased from baseline to last follow-up from 34.5% to 18.5% and from 31% to 14.8%, respectively (p<0.003). Overall, the mean (SD) Villalta score decreased from 11.5 (1.7) to 8.0 (1.7) (p<0.0001). Postprocedural complete ulcer healing occurred in 4 out of 5 (80%) patients. Two (6.9%) patients developed new ulcers. No major bleeding, pulmonary embolism, stroke, or death occurred. Conclusion: PTA of femoropopliteal veins via posterior tibial or popliteal vein access appears to improve the severity of PTS with acceptable patency rates.
TooCloseVR – Die Entwicklung eines Präventionsprogramms zur Verhinderung von Cyberbullying mittels immersiver Technologien
Authors: Bürger Arne , Wienrich Carolin
Published: July 2024

Zusammenfassung: Theoretischer Hintergrund: Die Anzahl der Opfer von Cyberbullying (CB) ist im letzten Jahrzehnt deutlich gestiegen und die Konsequenzen von CB für die psychische Gesundheit immens. Derzeit besteht ein Mangel an immersiver digitaler Prävention, die an der Lebensrealität der Jugendlichen ansetzt. Fragestellung: Die Pilotstudie untersucht die Umsetzbarkeit und die Auswirkungen eines ½- tägigen Präventionsprogramms zu Verhinderung von CB und basiert auf einer Virtual Reality (VR) Anwendung die auf der Grundlage der Verletzung des persönlichen Raumes basiert. Methode: Die Pilotstudie untersucht an 92 Schüler_innen quantitativ und qualitativ die Effekte einer VR-Anwendung zur Prävention von CB. Ergebnisse: Die quantitativen Daten bestätigen die erwartete Erhöhung der emotionalen Anspannung und des Engeerlebens. Die qualitativen Daten sprechen in diesem Zusammenhang für eine Erhöhung der Empathie für die Opfer und eine große Bereitschaft bei CB einzugreifen und andere davor zu schützen. Diskussion und Schlussfolgerung: Immersive Methoden, wie VR, ermöglichen es in die Erlebniswelt von Opfern einzutauchen. Dadurch bieten sich neue Wege zur Prävention von CB. Die Wirksamkeit des Ansatzes sollte in der Folge durch konfirmatorische Studien geprüft werden.
Promoting Protective Factors for Suicidal Behavior in Adolescents at Risk
Authors: Knappe Susanne , Aresin Martin , Stephan Yara , Grosselli Luna , Lewitzka Ute , Bürger Arne , e.V. WFI , Hoyer Jürgen
Published: July 2024

Abstract: Theoretical Background: Suicide is among the leading causes of death for young people and a major public health concern. While intervention programs targeting youth at risk seem promising, more research is warranted to determine what works for whom. The HEYLiFE universal school-based suicide prevention program aims to promote three putative protective factors, namely, knowledge about mental health, agency, and help-seeking intention in students aged 14 years and older. While its overall efficacy was confirmed previously, specific effects in adolescents with different risk profiles remain to be determined. Objective: We explored whether program efficacy differed for students aged 14 – 18 years (mean age M= 16.2 years, SD = 1.2 years) at low, medium, and high risk for suicidality. Method: A pre–post within-group comparison trial was designed to evaluate the HEYLiFE suicide prevention program in a convenience sample of 304 adolescents from five public schools. The data of 218 adolescents (45.2 % female) with completed data sets were analyzed. Using a two-step cluster analysis, we identified three distinct at-risk clusters for suicidality based on self-reported suicidality, depression, impulsivity/carelessness, and avoidance. We then applied a mixed-model analysis of covariance to evaluate program efficacy in these clusters. Results: While knowledge improved to a similar degree across all clusters, agency and help-seeking intentions improved in the low- and medium-risk cluster but not in the high-risk cluster. Efficacy across time ranged from small to medium effects. Conclusion: Our results confirm that the HEYLiFE suicide prevention program is efficacious for the majority of students. The promotion of protective factors among students with different risk profiles is a viable strategy for universal suicide prevention, although efforts are warranted to specifically target individuals exhibiting the greatest risk for suicide.
A Persistent Coast Mode of Precipitation in Southeast China Over the Last Millennium
Authors: Cao Jiantao , Chen Fajin , Chu Guoqiang , Jia Guodong
Published: July 2024

Instrumental data set have revealed several summer precipitation patterns in eastern China, being summarized as “tripole,” “dipole” and “coast” modes. The former two have been found to persist at different time scales, leaving the latter unclear in geological records. Here we present 1300‐year hydroclimate records in a tropical maar lake in the southern coast of China using archeal lipid GDGTs, which can reflect lower water redox conditions largely regulated by lake water depth. The down‐core GDGTs reveal a relatively drier condition during the medieval climate anomaly compared to the Little Ice Age, in‐phase with other records in southeast coast of China but opposite to the inland region, hence demonstrating a persistent “coast” mode in eastern China. The thermal state of equatorial Pacific is suggested to play an important role in shaping the “coast” mode by modulating the location and strength of the western Pacific subtropical high and tropical typhoons.
Variability in Ice Cover Does Not Affect Annual Metabolism Estimates in a Small Eutrophic Reservoir
Authors: Howard Dexter W. , Brentrup Jennifer A. , Richardson David C. , Lewis Abigail S. L. , Olsson Freya E. , Carey Cayelan C.
Published: July 2024

Temperate reservoirs and lakes worldwide are experiencing decreases in ice cover, which will likely alter the net balance of gross primary production (GPP) and respiration (R) in these ecosystems. However, most metabolism studies to date have focused on summer dynamics, thereby excluding winter dynamics from annual metabolism budgets. To address this gap, we analyzed 6 years of year‐round high‐frequency dissolved oxygen data to estimate daily rates of net ecosystem production (NEP), GPP, and R in a eutrophic, dimictic reservoir that has intermittent ice cover. Over 6 years, the reservoir exhibited slight heterotrophy during both summer and winter. We found winter and summer metabolism rates to be similar: summer NEP had a median rate of −0.06 mg O2 L−1 day−1 (range: −15.86 to 3.20 mg O2 L−1 day−1), while median winter NEP was −0.02 mg O2 L−1 day−1 (range: −8.19 to 0.53 mg O2 L−1 day−1). Despite large differences in the duration of ice cover among years, there were minimal differences in NEP among winters. Overall, the inclusion of winter data had a limited effect on annual metabolism estimates in a eutrophic reservoir, likely due to short winter periods in this reservoir (ice durations 0–35 days), relative to higher‐latitude lakes. Our work reveals a smaller difference between winter and summer NEP than in lakes with continuous ice cover. Ultimately, our work underscores the importance of studying full‐year metabolism dynamics in a range of aquatic ecosystems to help anticipate the effects of declining ice cover across lakes worldwide.
Ptycho-endoscopy on a lensless ultrathin fiber bundle tip
Authors: Song Pengming , Wang Ruihai , Loetgering Lars , Liu Jia , Vouras Peter , Lee Yujin , Jiang Shaowei , Feng Bin , Maiden Andrew , Yang Changhuei , Zheng Guoan
Published: July 2024

Synthetic aperture radar (SAR) utilizes an aircraft-carried antenna to emit electromagnetic pulses and detect the returning echoes. As the aircraft travels across a designated area, it synthesizes a large virtual aperture to improve image resolution. Inspired by SAR, we introduce synthetic aperture ptycho-endoscopy (SAPE) for micro-endoscopic imaging beyond the diffraction limit. SAPE operates by hand-holding a lensless fiber bundle tip to record coherent diffraction patterns from specimens. The fiber cores at the distal tip modulate the diffracted wavefield within a confined area, emulating the role of the ‘airborne antenna’ in SAR. The handheld operation introduces positional shifts to the tip, analogous to the aircraft’s movement. These shifts facilitate the acquisition of a ptychogram and synthesize a large virtual aperture extending beyond the bundle’s physical limit. We mitigate the influences of hand motion and fiber bending through a low-rank spatiotemporal decomposition of the bundle’s modulation profile. Our tests demonstrate the ability to resolve a 548-nm linewidth on a resolution target. The achieved space-bandwidth product is ~1.1 million effective pixels, representing a 36-fold increase compared to that of the original fiber bundle. Furthermore, SAPE’s refocusing capability enables imaging over an extended depth of field exceeding 2 cm. The aperture synthesizing process in SAPE surpasses the diffraction limit set by the probe’s maximum collection angle, opening new opportunities for both fiber-based and distal-chip endoscopy in applications such as medical diagnostics and industrial inspection.
Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study
Authors: Hagen Jana , Ramkiran Shukti , Schnellbächer Gereon J. , Rajkumar Ravichandran , Collee Maria , Khudeish Nibal , Veselinović Tanja , Shah N. Jon , Neuner Irene
Published: July 2024

Abstract

Major depressive disorder (MDD) typically manifests itself in depressed affect, anhedonia, low energy, and additional symptoms. Despite its high global prevalence, its pathophysiology still gives rise to questions. Current research places alterations in functional connectivity among MDD’s most promising biomarkers. However, given the heterogeneity of previous findings, the use of higher-resolution imaging techniques, like ultra-high field (UHF) fMRI (≥7 Tesla, 7T), may offer greater specificity in delineating fundamental impairments. In this study, 7T UHF fMRI scans were conducted on 31 MDD patients and 27 age-gender matched healthy controls to exploratorily contrast cerebral resting-state functional connectivity patterns between both groups. The CONN toolbox was used to generate functional network connectivity (FNC) analysis based on the region of interest (ROI)-to-ROI correlations in order to enable the identification of clusters of significantly different connections. Correction for multiple comparisons was implemented at the cluster level using a false discovery rate (FDR). The analysis revealed three significant clusters differentiating MDD patients and healthy controls. In Clusters 1 and 2, MDD patients exhibited between-network hypoconnectivity in basal ganglia-cortical pathways as well as hyperconnectivity in thalamo-cortical pathways, including several individual ROI-to-ROI connections. In Cluster 3, they showed increased occipital interhemispheric within-network connectivity. These findings suggest that alterations in basal ganglia-thalamo-cortical circuits play a substantial role in the pathophysiology of MDD. Furthermore, they indicate potential MDD-related deficits relating to a combination of perception (vision, audition, and somatosensation) as well as more complex functions, especially social-emotional processing, modulation, and regulation. It is anticipated that these findings might further inform more accurate clinical procedures for addressing MDD.
Exploring treatment options in cancer: tumor treatment strategies
Authors: Liu Beilei , Zhou Hongyu , Tan Licheng , Siu Kin To Hugo , Guan Xin-Yuan
Published: July 2024

Traditional therapeutic approaches such as chemotherapy and radiation therapy have burdened cancer patients with onerous physical and psychological challenges. Encouragingly, the landscape of tumor treatment has undergone a comprehensive and remarkable transformation. Emerging as fervently pursued modalities are small molecule targeted agents, antibody-drug conjugates (ADCs), cell-based therapies, and gene therapy. These cutting-edge treatment modalities not only afford personalized and precise tumor targeting, but also provide patients with enhanced therapeutic comfort and the potential to impede disease progression. Nonetheless, it is acknowledged that these therapeutic strategies still harbour untapped potential for further advancement. Gaining a comprehensive understanding of the merits and limitations of these treatment modalities holds the promise of offering novel perspectives for clinical practice and foundational research endeavours. In this review, we discussed the different treatment modalities, including small molecule targeted drugs, peptide drugs, antibody drugs, cell therapy, and gene therapy. It will provide a detailed explanation of each method, addressing their status of development, clinical challenges, and potential solutions. The aim is to assist clinicians and researchers in gaining a deeper understanding of these diverse treatment options, enabling them to carry out effective treatment and advance their research more efficiently.
A rare case of spinal involvement in hereditary hemorrhagic telangiectasia
Authors: Hvingelby V. , Mikkelsen Ronni , Gudmundsdottir Gudrun , Andersen Marlene , Hagen Ellen Merete
Published: July 2024

Introduction

Here, we describe a rare case of a spinal arteriovenous fistula in a patient with known hereditary hemorrhagic telangiectasia (HHT) and spontaneous intraspinal hemorrhage. Furthermore, we provide a brief review of the literature on the formation of spinal arteriovenous malformations (AVM) in relation to this disease.

Case presentation

The case involves a 54-year-old male with known HHT. At the age of 49, the patient experienced recurrent cystitis. Urological evaluation ruled the cause to be neurological and subsequent imaging revealed a thoracic AVM. Four years later, the patient was admitted to A&E with chest pain and loss of function of the lower extremities and right arm, suspicious for ruptured aortic dissection. Trauma-CT excluded this and a final diagnosis of ruptured spinal AVM was made. Seven months post-injury, a spinal angiography was performed confirming the AVM. The remaining AVM was embolized under general anesthesia with acceptable results.

Discussion

Spinal involvement in HHT is exceedingly rare but remains an important differential diagnosis, especially when patients present autonomic symptoms as these could potentially progress to life-threatening complications. The literature and the presented case indicate the prudence of closing spinal AVMs in HHT in case of symptoms, including autonomic, such as bladder dysfunction.
Altered insular functional activity among electronic cigarettes users with nicotine dependence
Authors: Sun Yunkai , Xie An , Fang Yehong , Chen Haobo , Li Ling , Tang Jinsong , Liao Yanhui
Published: July 2024

Electronic cigarettes (e-cigs) use, especially among youngsters, has been on the rise in recent years. However, little is known about the long-term effects of the use of e-cigs on brain functional activity. We acquired the resting-state functional magnetic resonance imaging (rs-fMRI) data from 93 e-cigs users with nicotine dependence and 103 health controls (HC). The local synchronization was analyzed via the regional homogeneity (ReHo) method at voxel-wise level. The functional connectivity (FC) between the nucleus accumbens (NAcc), the ventral tegmental area (VTA), and the insula was calculated at ROI-wise level. The support vector machining classification model based on rs-fMRI measures was used to identify e-cigs users from HC. Compared with HC, nicotine-dependent e-cigs users showed increased ReHo in the right rolandic operculum and the right insula (p < 0.05, FDR corrected). At the ROI-wise level, abnormal FCs between the NAcc, the VTA, and the insula were found in e-cigs users compared to HC (p < 0.05, FDR corrected). Correlation analysis found a significant negative correlation between ReHo in the left NAcc and duration of e-cigs use (r = −0.273, p = 0.008, FDR corrected). The following support vector machine model based on significant results of rs-fMRI successfully differentiates chronic e-cigs users from HC with an accuracy of 73.47%, an AUC of 0.781, a sensitivity of 67.74%, and a specificity of 78.64%. Dysregulated spontaneous activity and FC of addiction-related regions were found in e-cigs users with nicotine dependence, which provides crucial insights into the prevention of its initial use and intervention for quitting e-cigs.