bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterizing the effects of morphological microstructures and hydropeaks on fish stranding in rivers
Authors: Insulaire Flora , Lamouroux Nicolas , Barillier Agnès , Paillex Amael , Capra Hervé , Cattaneo Franck , Gouraud Véronique 
Published: April 2024

AbstractFish stranding in rivers, due to rapid shoreline dewatering, often occurs during the down‐ramping phase of hydropeaks, which enables peak energy production. Multiple hydropeaking characteristics and river morphology influence stranding, but little is known about the effects of riverbed microstructures. Our goal was to identify how the combination of hydropeaking characteristics and the occurrence of morphological microstructures (e.g., puddles and scour pools) influences fish stranding. For this purpose, we used an extensive dataset of fish stranding observations collected over 3 years in spring at 48 sites along a 50 km‐long reach of the Ain River, France. We aimed (1) to characterize stranding events and their associated fish assemblages and (2) to identify the spatial and temporal determinants of stranding. The occurrence of morphological microstructures was the main factor explaining fish stranding. Scour pools had a strong impact, followed by scour puddles, humid zones, and alluvial puddles. Then, hydropeaking characteristics interacted with morphology and modulated the intensity of stranding. Low flow ranges (low peak flow and low base flow) occurring after periods without hydropeaks induced ‘salmonid fry’ stranding events and ‘super‐stranding’ events (massive stranding of many taxa). Other flow ranges induced ‘regular cyprinid fry’ stranding events. Salmonids were particularly subject to stranding at the beginning of the sampling period. Recommendations are (1) to act in priority on sites where stranding is most likely, by morphological operations or by installing attractive structures in the perennial area and (2) to maintain attractive, perennial habitats in the low flow range of hydropeaks, for example, by increasing base flow.
A Case of Rowell Syndrome after a Herpes Simplex Infection and Prolonged Sun Exposure
Authors: Palacio Ariana , Cebrian Karla Medrano , Majores Michael , Uerlich Manfred , Bierhoff Erhard , Bonness Sonja , Reinhold Uwe 
Published: April 2024

Abstract
Rowell Syndrome is a rare entity combining erythema exudativum multiforme (EEM) and lupus erythematosus (LE). Zeitouni et al. redefined Rowell Syndrome’s diagnostic criteria. Major criteria include: (1) LE (systemic, discoid or subacute cutaneous), (2) EEM-like skin lesions and (3) speckled pattern of antinuclear antibodies. Minor criteria comprise: (1) chilblains, (2) positive anti-SSA/Ro or anti-SSB/La antibodies and (3) positive rheumatoid factor. The diagnosis is achieved when all major criteria and at least one minor criterion are present. Prognosis and treatment regimens are those of EEM and LE, with reported good response to oral cortisone, azathioprine, cyclosporine, dapsone, antimalarials and methotrexate. We present a case of Rowell Syndrome in a young adult after a herpes simplex type 1 infection and unprotected sun exposure, with good response to both topical corticosteroids and calcineurin-inhibitors.
Wafer‐Scale Atomic Assembly for 2D Multinary Transition Metal Dichalcogenides for Visible and NIR Photodetection
Authors: Jeon Hye Yoon , Song Da Som , Shin RoSa , Kwon Yeong Min , Jo Hyeong‐ku , Lee Do Hyung , Lee Eunji , Jang Moonjeong , So Hee‐Soo , Kang Saewon , Yim Soonmin , Myung Sung , Lee Sun Sook , Yoon Dae Ho , Kim Chang Gyoun , Lim Jongsun , Song Wooseok 
Published: April 2024

AbstractThe tunable properties of 2D transition‐metal dichalcogenide (TMDs) materials are extensively investigated for high‐performance and wavelength‐tunable optoelectronic applications. However, the precise modification of large‐scale systems for practical optoelectronic applications remains a challenge. In this study, a wafer‐scale atomic assembly process to produce 2D multinary (binary, ternary, and quaternary) TMDs for broadband photodetection is demonstrated. The large‐area growth of homogeneous MoS2, Ni0.06Mo0.26S0.68, and Ni0.1Mo0.9S1.79Se0.21 is carried out using a succinct coating of the single‐source precursor and subsequent thermal decomposition combined with thermal evaporation of the chalcogen powder. The optoelectrical properties of the multinary TMDs are dependent on the combination of heteroatoms. The maximum photoresponsivity of the MoS2‐, Ni0.06Mo0.26S0.68‐, and Ni0.1Mo0.9S1.79Se0.21‐based photodetectors is 3.51 × 10−4, 1.48, and 0.9 A W−1 for 532 nm and 0.063, 0.42, and 1.4 A W−1 for 1064 nm, respectively. The devices exhibited excellent photoelectrical properties, which is highly beneficial for visible and near‐infrared (NIR) photodetection.
Oncological outcomes of surgical management for T2N0M0 glottic laryngeal squamous cell carcinoma
Authors: Zhou Jian , Xu Cheng‐Zhi , Zhu Xiao‐Ke , Yang Yue , Zhou Liang , Gong Hong‐Li , Tao Lei 
Published: April 2024

AbstractObjectivesThe research aimed to evaluate the clinical treatment outcomes of T2N0M0 glottic laryngeal squamous cell carcinoma (LSCC) patients who underwent laryngectomy.MethodsRetrospective review of 533 T2N0M0 glottic LSCC patients.ResultsFive‐year cancer‐specific survival (CSS) rate was 90.0%, and the overall survival (OS) rate was 89.1%. No statistically difference was found between the patients who have undergone total laryngectomy (5‐year disease‐free survival[DFS] = 80.7%, and the CSS = 86.7%) and those who have had partial laryngectomy (the 5‐year DFS = 85.3%, and CSS = 91.1%). There was no difference in the CSS and DFS rates between patients with negative margins and those with positive margins following postoperative radiotherapy (PORT) ± chemotherapy (the CSS: 90.8% vs. 81.8%, p = 0.458 and 5‐year DFS: 84.6% vs. 79.5%, p = 0.371). Patients who underwent vertical partial laryngectomy (VPL) had better survival (5‐year OS was 91.9%, and the CSS was 92.8%) than those who underwent cricohyoidoepiglottopexy (CHEP) or cricohyoidopexy (CHP) (the 5‐year OS = 83.8%, p = 0.022 and CSS = 84.9%, p = 0.038).ConclusionsSurgery remains the gold standard for treating T2N0M0 glottic LSCC patients because it can achieve satisfactory oncological outcomes. Regarding the systemic conditions, the effect of partial laryngectomy is similar to that of total laryngectomy. Moreover, partial laryngectomy preserves the function of the larynx. VPL may be superior to CHP/CHEP, depending upon the invasiveness of the tumor.
Nose‐to‐brain delivery of nanotherapeutics: Transport mechanisms and applications
Authors: Xu Kunyao , Duan Suqin , Wang Wenjing , Ouyang Qiuhong , Qin Feng , Guo Peilin , Hou Jinghan , He Zhanlong , Wei Wei , Qin Meng 
Published: April 2024

AbstractThe blood–brain barrier presents a key limitation to the administration of therapeutic molecules for the treatment of brain disease. While drugs administered orally or intravenously must cross this barrier to reach brain targets, the unique anatomical structure of the olfactory system provides a route to deliver drugs directly to the brain. Entering the brain via receptor, carrier, and adsorption‐mediated transcytosis in the nasal olfactory and trigeminal regions has the potential to increase drug delivery. In this review, we introduce the physiological and anatomical structures of the nasal cavity, and summarize the possible modes of transport and the relevant receptors and carriers in the nose‐to‐brain pathway. Additionally, we provide examples of nanotherapeutics developed for intranasal drug delivery to the brain. Further development of nanoparticles that can be applied to intranasal delivery systems promises to improve drug efficacy and reduce drug resistance and adverse effects by increasing molecular access to the brain.This article is categorized under:
Therapeutic Approaches and Drug Discovery > Nanomedicine for Neurological Disease
Introduction
Authors: Wickramasuriya Dilranjan S. , Faghih Rose T. 
Published: March 2024

AbstractThe human body is an intricate network of multiple functioning sub-systems. Many unobserved processes quietly keep running within the body even while we remain largely unconscious of them. For decades, scientists have sought to understand how different physiological systems work and how they can be mathematically modeled. Mathematical models of biological systems provide key scientific insights and also help guide the development of technologies for treating disorders when proper functioning no longer occurs. One of the challenges encountered with physiological systems is that, in a number of instances, the quantities we are interested in are difficult to observe directly or remain completely inaccessible. This could be either because they are located deep within the body or simply because they are more abstract (e.g., emotion). Consider the heart, for instance. The left ventricle pumps out blood through the aorta to the rest of the body. Blood pressure inside the aorta (known as central aortic pressure) has been considered a useful predictor of the future risk of developing cardiovascular disease, perhaps even more useful than the conventional blood pressure measurements taken from the upper arm (McEniery et al. (Eur Heart J 35(26):1719–1725, 2014)). However, measuring blood pressure inside the aorta is difficult. Consequently, researchers have had to rely on developing mathematical models with which to estimate central aortic pressure using other peripheral measurements (e.g., Ghasemi et al. (J Dyn Syst Measur Control 139(6):061003, 2017)). The same could be said regarding the recovery of CRH (corticotropin-releasing hormone) secretion timings within the hypothalamus—a largely inaccessible structure deep within the brain—using cortisol measurements in the blood based on mathematical relationships (Faghih (System identification of cortisol secretion: Characterizing pulsatile dynamics, Ph.D. dissertation, Massachusetts Institute of Technology, 2014)). Emotions could also be placed in this same category. They are difficult to measure because of their inherently abstract nature. Emotions, however, do cause changes in heart rate, sweating, and blood pressure that can be measured and with which someone’s feelings can be estimated. What we have described so far, in a sense, captures the big picture underlying this book. We have physiological quantities that are difficult to observe directly, we have measurements that are easier to acquire, and we have the ability to build mathematical models to estimate those inaccessible quantities.
State-Space Model with One Binary and Two Continuous Observations
Authors: Wickramasuriya Dilranjan S. , Faghih Rose T. 
Published: March 2024

AbstractIn this chapter, we will consider a more complicated form of the state equation—one that contains both a forgetting factor and an external input. We will also extend the earlier state-space model to the case where we now have one binary observation and two continuous observations. As before, however, we will first consider a scenario motivating the need for such a state-space model.
Percolation Breakdown in Binary and Ternary Monodisperse and Polydisperse Systems of Spherical Particles
Authors: Schneider Johannes Josef , Faggian Alessia , Weyland Mathias Sebastian , Jamieson William David , Li Jin , Matuttis Hans-Georg , Holler Silvia , Casiraghi Federica , Diaz Aitor Patiño , Cebolla Sanahuja Lorena , Hanczyc Martin Michael , Flumini Dandolo , Eggenberger Hotz Peter , Barrow David Anthony , Dimitriou Pantelitsa , Castell Oliver , Füchslin Rudolf Marcel 
Published: March 2024

AbstractWe perform computer simulations of an agglomeration process for monodisperse and polydisperse systems of spherical particles in a cylindrical container, using a simplified stochastic-hydrodynamic model. We consider a ternary system with three particle types A, B, and C, in which only connections of the type $$A-B$$

A
-
B

can be forged, while any other connections with particles of the same type or with C-particles are forbidden, and for comparison a binary system with two particle types A and C, in which only connections of the type $$A-A$$

A
-
A

can be formed. We study the breakdown of the percolation in the agglomeration at the bottom of the cylinder with an increasing fraction of C-particles.
Aktuelle Transfers und Ungleichheit
Authors: Bosshardt Tamara 
Published: March 2024

ZusammenfassungNachdem im ersten empirischen Kapitel 5 die Ausgangslage auf der Makroebene beschrieben wurde, folgten im zweiten empirischen Kapitel 6 detaillierte Analysen von Geld- und Sachgeschenken sowie Zahlungen zwischen Erwachsenen und ihren Eltern auf der Mikroebene. Der dritte Schritt der soziologischen Erklärung ist nun die Rückführung der Analyse aktueller Transfers auf die Makroebene.
Schlussfolgerungen
Authors: Bosshardt Tamara 
Published: March 2024

ZusammenfassungSoziale Ungleichheiten in der Kindergeneration lassen sich zu einem grossen Teil auf soziale Ungleichheiten in der Elterngeneration zurückführen. Das Badewannenmodell der soziologischen Makro-Mikro-Makro-Erklärung führt diesen makrostrukturellen Zusammenhang auf das beobachtbare Handeln von Akteuren auf der Mikroebene zurück. Die vorliegende Arbeit widmet sich einem der Mechanismen, die zur Reproduktion der Ungleichheiten beitragen; sie analysiert aktuelle finanzielle Transfers zwischen Erwachsenen und ihren Eltern in der Schweiz.
Analytic auxiliary mass flow to compute master integrals in singular kinematics
Authors: Fontana Gaia , Gehrmann Thomas , Schönwald Kay 
Published: April 2024

Abstract
The computation of master integrals from their differential equations requires boundary values to be supplied by an independent method. These boundary values are often desired at singular kinematical points. We demonstrate how the auxiliary mass flow technique can be extended to compute the expansion coefficients of master integrals in a singular limit in an analytical manner, thereby providing these boundary conditions. To illustrate the application of the method, we re-compute the phase space integrals relevant to initial-final antenna functions at NNLO, now including higher-order terms in their ϵ-expansion in view of their application in third-order QCD corrections.
End of the world branes from dimensional reduction
Authors: Sugimoto Shigeki , Suzuki Yu-ki 
Published: April 2024

Abstract
We consider dimensional reduction of cigar geometries which are obtained by a Wick rotation of black hole solutions. Originally the cigar geometry is smooth around the tip, but after the dimensional reduction along the Euclidean time direction, there appears an end-of-the-world brane (ETW brane). We derive the tension of the brane by two methods: bulk equations of motion and boundary equations of motion.In particular, for AdS7-soliton ×S4 and AdS4-soliton ×S7 backgrounds in M-theory, we find that the tension of the emerging ETW branes behaves as t(Φ) ~ e−3Φ in the string frame. This indicates the existence of such ETW branes in the strongly coupled regime of type 0A string theory.
Exercise-induced central and peripheral sympathetic activity in a community-based group of epilepsy patients differ from healthy controls
Authors: van den Bongard Franziska , Gowik Julia Kristin , Coenen Jessica , Jakobsmeyer Rasmus , Reinsberger Claus 
Published: March 2024

AbstractIctal and interictal activity within the autonomic nervous system is characterized by a sympathetic overshoot in people with epilepsy. This autonomic dysfunction is assumed to be driven by alterations in the central autonomic network. In this study, exercise-induced changes of the interrelation of central and peripheral autonomic activity in patients with epilepsy was assessed. 21 patients with epilepsy (16 seizure-free), and 21 healthy matched controls performed an exhaustive bicycle ergometer test. Immediately before and after the exercise test, resting state electroencephalography measurements (Brain Products GmbH, 128-channel actiCHamp) of 5 min were carried out to investigate functional connectivity assessed by phase locking value in source space for whole brain, central autonomic network and visual network. Additionally, 1-lead ECG (Brain products GmbH) was performed to analyze parasympathetic (root mean square of successive differences (RMSSD) of the heart rate variability) and sympathetic activity (electrodermal activity (meanEDA)). MeanEDA increased (p < 0.001) and RMSSD decreased (p < 0.001) from pre to post-exercise in both groups. Correlation coefficients of meanEDA and central autonomic network functional connectivity differed significantly between the groups (p = 0.004) after exercise. Both patients with epilepsy and normal control subjects revealed the expected physiological peripheral autonomic responses to acute exhaustive exercise, but alterations of the correlation between central autonomic and peripheral sympathetic activity may indicate a different sympathetic reactivity after exercise in patients with epilepsy. The clinical relevance of this finding and its modulators (seizures, anti-seizure medication, etc.) still needs to be elucidated.
Exact p-values for global network alignments via combinatorial analysis of shared GO terms
Authors: Hayes Wayne B. 
Published: March 2024

AbstractNetwork alignment aims to uncover topologically similar regions in the protein–protein interaction (PPI) networks of two or more species under the assumption that topologically similar regions tend to perform similar functions. Although there exist a plethora of both network alignment algorithms and measures of topological similarity, currently no “gold standard” exists for evaluating how well either is able to uncover functionally similar regions. Here we propose a formal, mathematically and statistically rigorous method for evaluating the statistical significance of shared GO terms in a global, 1-to-1 alignment between two PPI networks. Given an alignment in which k aligned protein pairs share a particular GO term g, we use a combinatorial argument to precisely quantify the p-value of that alignment with respect to g compared to a random alignment. The p-value of the alignment with respect to all GO terms, including their inter-relationships, is approximated using the Empirical Brown’s Method. We note that, just as with BLAST’s p-values, this method is not designed to guide an alignment algorithm towards a solution; instead, just as with BLAST, an alignment is guided by a scoring matrix or function; the p-values herein are computed after the fact, providing independent feedback to the user on the biological quality of the alignment that was generated by optimizing the scoring function. Importantly, we demonstrate that among all GO-based measures of network alignments, ours is the only one that correlates with the precision of GO annotation predictions, paving the way for network alignment-based protein function prediction.
Graph neural networks in vision-language image understanding: a survey
Authors: Senior Henry , Slabaugh Gregory , Yuan Shanxin , Rossi Luca 
Published: March 2024

Abstract
2D image understanding is a complex problem within computer vision, but it holds the key to providing human-level scene comprehension. It goes further than identifying the objects in an image, and instead, it attempts to understand the scene. Solutions to this problem form the underpinning of a range of tasks, including image captioning, visual question answering (VQA), and image retrieval. Graphs provide a natural way to represent the relational arrangement between objects in an image, and thus, in recent years graph neural networks (GNNs) have become a standard component of many 2D image understanding pipelines, becoming a core architectural component, especially in the VQA group of tasks. In this survey, we review this rapidly evolving field and we provide a taxonomy of graph types used in 2D image understanding approaches, a comprehensive list of the GNN models used in this domain, and a roadmap of future potential developments. To the best of our knowledge, this is the first comprehensive survey that covers image captioning, visual question answering, and image retrieval techniques that focus on using GNNs as the main part of their architecture.
A novel log odds of positive lymph nodes–based nomogram for predicting overall survival in patients with colorectal signet ring cell carcinoma: a SEER population-based study
Authors: Yu Wenqian , Xu Boqi , Li Peng 
Published: April 2024

Abstract
Purpose
Considering the poor prognosis and high lymph node (LN) involvement rate of colorectal signet ring cell carcinoma (SRCC), this study aimed to construct a prognostic nomogram to predict overall survival (OS) with satisfactory accuracy and utility, based on LN status indicators with superior predictability.

Methods
Using the Surveillance, Epidemiology, and End Results (SEER) database, we obtained cases of colorectal SRCC patients and employed univariate and multivariate Cox analyses to determine independent prognostic factors. Kaplan–Meier curves were utilized to visualize survival differences among these factors. Receiver operating characteristic curves were generated to assess predictive performances of models incorporating various LN status indicators. A novel nomogram, containing optimal LN status indicators and other prognostic factors, was developed to predict OS, whose discriminatory ability and accuracy were evaluated using calibration curves and decision curve analysis.

Results
A total of 1663 SRCC patients were screened from SEER database. Older patients and those with grades III–IV, tumor sizes > 39 mm, T3/T4 stage, N1/N2 stage, M1 stage, and higher log odds of positive lymph nodes (LODDS) values exhibited poorer prognoses. Age, grade, tumor size, TNM stage, and LODDS were independent prognostic factors. The model containing N stage and LODDS outperformed the one relying solely on N stage as LN status indicator, resulting in a validated nomogram for accurately predicting OS in SRCC patients.

Conclusion
The integration of LODDS, N stage, and other risk factors into a nomogram offered precise OS predictions, enhancing therapeutic decision-making and tailored follow-up management for colorectal SRCC patients.
Acoustic emission applied to stochastic modeling of microdamage in compact bone
Authors: Sánchez-Molina D. , García-Vilana S. 
Published: March 2024

AbstractExploring the stochastic intricacies of bone microstructure is a promising way to make progress on the practical issue of bone fracture. This study investigates the fracture of human complete ribs subjected to bending and using acoustic emission (AE) for microfailure detection. As the strain increases, the number of AE signals per unit of time rises until, beyond a certain threshold, an avalanche of signals occurs, indicating the aggregation of numerous microfailures into a macroscopic fracture. Since microfailures appear randomly throughout the bending test, and given the lack of a deterministic law and the random nature of microfailures during the bending test, we opted to develop a stochastic model to account for their occurrence within the irregular and random microstructure of the cortical bone. Notable discoveries encompass the significant correlation between adjusted parameters of the stochastic model and the total number of microfailures with anthropometric variables such as age and body mass index (BMI). The progression of microfailures with strain is significantly more pronounced with age and BMI, as measured by the rate of bone deterioration. In addition, the rate of microfailures is significantly impacted by BMI alone. It is also observed that the average energy of the identified AE events adheres to a precisely defined Pareto distribution for every specimen, with the principal exponent exhibiting a significant correlation with anthropometric variables. From a mathematical standpoint, the model can be described as a double Cox stochastic and explosive (coxplosive process) model. This further provides insight into the reason why the ribs of older individuals are considerably less resilient than those of younger individuals, breaking under a considerably lower maximum strain ($$\varepsilon _{\max }$$

ε
max

).