bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suitability of DNN-based vessel segmentation for SIRT planning
Authors: Kock Farina , Thielke Felix , Abolmaali Nasreddin , Meine Hans , Schenk Andrea 
Published: August 2023

Abstract
Purpose
The segmentation of the hepatic arteries (HA) is essential for state-of-the-art pre-interventional planning of selective internal radiation therapy (SIRT), a treatment option for malignant tumors in the liver. In SIRT a catheter is placed through the aorta into the tumor-feeding hepatic arteries, injecting small beads filled with radiation emitting material for local radioembolization. In this study, we evaluate the suitability of a deep neural network (DNN) based vessel segmentation for SIRT planning.

Methods
We applied our DNN-based HA segmentation on 36 contrast-enhanced computed tomography (CT) scans from the arterial contrast agent phase and rated its segmentation quality as well as the overall image quality. Additionally, we applied a traditional machine learning algorithm for HA segmentation as comparison to our deep learning (DL) approach. Moreover, we assessed by expert ratings whether the produced HA segmentations can be used for SIRT planning.

Results
The DL approach outperformed the traditional machine learning algorithm. The DL segmentation can be used for SIRT planning in $$61\%$$

61
%

of the cases, while the reference segmentations, which were manually created by experienced radiographers, are sufficient in $$75\%$$

75
%

. Seven DL cases cannot be used for SIRT planning while the corresponding reference segmentations are sufficient. However, there are two DL segmentations usable for SIRT, where the reference segmentations for the same cases were rated as insufficient.

Conclusions
HA segmentation is a difficult and time-consuming task. DL-based methods have the potential to support and accelerate the pre-interventional planning of SIRT therapy.
Uniqueness of solutions in multivariate Chebyshev approximation problems
Authors: Roshchina Vera , Sukhorukova Nadezda , Ugon Julien 
Published: August 2023

AbstractWe study the solution set to multivariate Chebyshev approximation problem, focussing on the ill-posed case when the uniqueness of solutions can not be established via strict polynomial separation. We obtain an upper bound on the dimension of the solution set and show that nonuniqueness is generic for ill-posed problems on discrete domains. Moreover, given a prescribed set of points of minimal and maximal deviation we construct a function for which the dimension of the set of best approximating polynomials is maximal for any choice of domain. We also present several examples that illustrate the aforementioned phenomena, demonstrate practical application of our results and propose a number of open questions.
Multipliers on Spaces of Holomorphic Functions
Authors: Trybuła Maria 
Published: August 2023

AbstractWe consider multipliers on the space of holomorphic functions of one variable $$H(\Omega ),\,\Omega \subset \mathbb {C}$$

H
(
Ω
)
,

Ω
⊂
C

open, that is, linear continuous operators for which all monomials are eigenvectors. If zero belongs to $$\Omega $$
Ω
and $$\Omega $$
Ω
is a domain these operators are just multipliers on the sequences of Taylor coefficients at zero. In particular, Hadamard multiplication operators are multipliers. In the case of Runge open sets we represent all multipliers via a kind of multiplicative convolutions with analytic functionals and characterize the corresponding sequences of eigenvalues as moments of suitable analytic functionals. We also identify which topology should be put on the subspace of analytic functionals in order for that isomorphism to become a topological isomorphism, when the space of multipliers inherits the topology of uniform convergence on bounded sets from the space of all endomorphisms on $$H(\Omega )$$

H
(
Ω
)

. We provide one more representation of multipliers via suitable germs of holomorphic functions with Laurent or Taylor coefficients equal to the eigenvalues of the operator. We also discuss a special case, namely, when $$\Omega $$
Ω
is convex.
Proteomic Analysis of the Amygdala Reveals Dynamic Changes in Glutamate Transporter-1 During Progression of Complete Freund’s Adjuvant-Induced Pain Aversion
Authors: Wu Yuanyuan , Chen Yuerong , Xu Yunyun , Ni Wenqin , Lin Chalian , Shao Xiaomei , Shen Zui , He Xiaofen , Wang Chao , Fang Jianqiao 
Published: August 2023

AbstractPain sufferer usually show an aversion to the environment associated with pain, identified as pain aversion. The amygdala, an almond-shaped limbic structure in the medial temporal lobe, exerts a critical effect on emotion and pain formation. However, studies on inflammatory pain-induced aversion are still relatively limited, and the available evidence is not enough to clarify its inherent mechanisms. Proteomics is a high-throughput, comprehensive, and objective study method that compares the similarities and differences of protein expression under different conditions to screen potential targets. The current study aimed to identify potential pivotal proteins in the amygdala of rats after complete Freund’s adjuvant (CFA)-induced pain aversion via proteomics analysis. Immunohistochemistry was performed to confirm the expression of glutamate transporter-1 (GLT-1) in the amygdala during different periods of pain aversion. Thirteen proteins were found to be different between the day 2 and day 15 groups. Among the 13 differentially expressed proteins, Q8R64 denotes GLT-1, which utilises synaptic glutamate to remain optimal extracellular glutamic levels, thereby preventing accumulation in the synaptic cleft and consequent excitotoxicity. The variation in GLT-1 expression was correlated with the variation tendency of pain aversion, which implies a potential link between the modulation of pain aversion and the excitability of glutamatergic neurons. This study demonstrated that exposure to inflammatory pain results in aversion induced from pain, leading to extensive biological changes in the amygdala.
SEOM-GEINO clinical guidelines for high-grade gliomas of adulthood (2022)
Authors: Segura Pedro Pérez , Quintela Noelia Vilariño , García María Martínez , del Barco Berrón Sonia , Sarrió Regina Gironés , Gómez Jesús García , Castaño Almudena García , Martín Luis Miguel Navarro , Rubio Oscar Gallego , Losada Estela Pineda 
Published: August 2023

AbstractHigh-grade gliomas (HGG) are the most common primary brain malignancies and account for more than half of all malignant primary brain tumors. The new 2021 WHO classification divides adult HGG into four subtypes: grade 3 oligodendroglioma (1p/19 codeleted, IDH-mutant); grade 3 IDH-mutant astrocytoma; grade 4 IDH-mutant astrocytoma, and grade 4 IDH wild-type glioblastoma (GB). Radiotherapy (RT) and chemotherapy (CTX) are the current standard of care for patients with newly diagnosed HGG. Several clinically relevant molecular markers that assist in diagnosis and prognosis have recently been identified. The treatment for recurrent high-grade gliomas is not well defined and decision-making is usually based on prior strategies, as well as several clinical and radiological factors. Whereas the prognosis for GB is grim (5-year survival rate of 5–10%) outcomes for the other high-grade gliomas are typically better, depending on the molecular features of the tumor. The presence of neurological deficits and seizures can significantly impact quality of life.
Quasicrystals at high pressures and temperatures: a review
Authors: Stagno Vincenzo , Bindi Luca 
Published: August 2023

AbstractWe summarize the results of studies on quasicrystals (QCs) at extreme conditions over the last 4 decades with particular emphasis for compositions falling in the Al-based ternary system as the closest to those of quasicrystals discovered in nature, such as icosahedrite and decagonite. We show that, in contrast with what thought in the past, both pressure and temperature act to stabilize QCs, for which a clear phase transition to either crystalline approximants or amorphous material has been limited to very few compositions only. Such stabilization is proved by the compressibility behavior of QCs that resembles that of the pure constituent metals. Additional remarks come from the experimental observation of QC formation at high pressure and temperature in both static and dynamic experiments. These results seem, in conclusion, to suggest that the occurrence of QCs in nature might be more a rule rather than an exception.
Archaeological science, globalisation, and local agency: gold in Great Zimbabwe
Authors: Vieri Jasmine , Chirikure Shadreck , Lane Paul , Martinón-Torres Marcos 
Published: August 2023

AbstractGreat Zimbabwe (CE1000–1600) is world famous for outstanding cultural innovations and localised and globalised entanglement with trans-Africa and trans-Indian Ocean exchange. New excavations yielded fragments of over a hundred gold processing vessels comprising reused pottery and purpose-made crucibles from stratified contexts in the Eastern Ridge Ruins and adjacent areas. Selected samples were studied using archaeological, microscopic, and compositional (SEM–EDS) techniques. All ceramics were made of alumina-rich clays and contain minerals common to granite-derived lithologies typical of the area, although it is possible that particularly refractory clays were selected to make crucibles locally. These technical ceramics were used for refining and collecting gold at high temperature, most likely producing not only relatively standardised ingots but also finished objects. The composition of the gold prills set in crucible slag is consistent with that of natural, unalloyed gold, while the variability in silver levels and minor impurities point to heterogeneous sources of the gold. Considering these finds in their multiple site and regional contexts, and together with complementary threads of information from early reports of antiquarians and looters, we argue that local agency and gold consumption were much more significant than generally assumed. The conclusion to the paper is that Great Zimbabwe’s famous participation in local and global exchanges was backed by internally driven but improvisation laden production and consumption occurring in homesteads located throughout its various settlements. We end by raising a word of caution about oversimplified narratives of globalisation and their archaeological expressions (see Supplementary Material S0 for the abstract in Shona).
Food systems transformation, animal-source foods consumption, inequality, and nutrition in Myanmar
Authors: Scott Jessica M. , Belton Ben , Mahrt Kristi , Thilsted Shakuntala H. , Bogard Jessica R. 
Published: August 2023

AbstractThis study traces the consumption of animal-source foods (ASF) during a period of rapid economic change and food system transformation in Myanmar. We use data from two nationally representative consumption surveys conducted in 2010 and 2015 and food composition tables to estimate the contributions of ASF to estimated average requirements (EARs) of key nutrients among population subgroups differentiated by geography and economic status. We find: (1) Little change in the average quantity of ASF consumed per individual, but substantial changes in the composition of the ASF consumed. (2) Increasing rural–urban and income-linked inequality in quantities of ASF and associated nutrients consumed. (3) Declines in the adequacy of intakes of five out of eight micronutrients (calcium, iron, zinc, thiamine, vitamin B12) and small increases in two (selenium and vitamin A), due to the changing composition of ASF; most importantly, reductions in the supply of diverse aquatic foods from capture fisheries and increasing availability of intensively reared chicken. (4) Elevated levels of ASF-derived total fat and sodium consumption among better-off consumers, suggesting an emerging triple burden of malnutrition. We review the implications of these results for food security, nutrition-sensitive policies and interventions beyond Myanmar.
Prognostic value of the combined preoperative plasma fibrinogen and systemic inflammatory indexes in ESCC patients
Authors: Cao Honggang , Shi Hongtai , Zhao Miaomiao , Liu Zhenhua , Qian Jun 
Published: August 2023

AbstractThe prognostic indexes based on the combination of preoperative fibrinogen and systemic inflammatory indexes may have greater predictive value in esophageal squamous cell carcinoma (ESCC). It was found that the predictive ability of F-NLR was more valuable than other systemic inflammatory indexes. The preoperative F-NLR score was closely related to the TNM stage, and could be used as an important independent prognostic index for patients with ESCC. Then the nomogram model constructed by F-NLR and TNM stage had higher prognostic ability than that of AJCC stage for ESCC patients. Preoperative F-NLR is a new independent prognostic index and a potential marker for treatment response monitoring in patients with ESCC.
Association between comorbid diabetes mellitus and mortality of patients with sepsis: A meta-analysis
Authors: Du Qingxia , Yin Xuelian , Zhao Hong , Li Jiebin , Zhang Jing 
Published: August 2023

Abstract
Objective
Although diabetes patients have a higher propensity to develop infection and sepsis, it is still controversial whether the mortality of sepsis patients is affected by diabetes (DM). We conducted a systematic review and meta-analysis to determine the relationship between diabetes and mortality in patients with sepsis.

Methods
We comprehensively searched for relevant studies in PubMed, MEDLINE, EMBASE, and the Cochrane Library database from January 2000 to December 2021. Two reviewers independently selected studies, extracted data, and assessed quality. We used random-effects modeling to calculate the summary of risk ratios and confidence interval (CI) of mortality. Study quality was assessed using NOS score, and publication bias was assessed using Egger’s statistic.

Results
A total of 23 studies were included in the analyses, comprising 14,521,791 septic patients, including 2,866,429 DM patients. We stratified the in-hospital mortality data by duration for 30 days, 90 day, and mixed days. Meta-analysis of 23 studies showed slightly increased overall mortality among the patients with DM (RR, 1.12; 95% CI 1.00 − 1.25; I2 96.1%; p = 0.000) by pooling of all data in the random effects model. Subgroup analysis did not demonstrate a statistically significant increase either in 30-day mortality (RR, 1.07; 95% CI 0.97–1.18; I2 0.0%; p 0.963), 90-day mortality (RR, 1.00; 95% CI 0.95–1.07; I2 0.0%; p = 0.735), or mixed-day mortality (RR, 1.16; CI 0.98–1.37; I2 97.9%; p = 0.000). The quality of the included studies was good, and the median NOS score was 7.1 (range, 6–9).

Conclusions
This systematic review and meta-analysis of studies suggests that DM does slightly increase sepsis overall mortality, however with statistical heterogeneity. Due to the limitations of the analysis, more well-designed clinical studies are still necessary in future.
Alternative methods to synthetic chemical control of Cynodon dactylon (L.) Pers. A systematic review
Authors: Soares Pedro Ribeiro , Galhano Cristina , Gabriel Rosalina 
Published: August 2023

AbstractCynodon dactylon (L.) Pers. is one of the worst agricultural weeds and invasive species in the world, being widely established in many countries. Despite its impact on agriculture and the growing awareness of authorities and consumers about the consequences of synthetic herbicides, alternative control methods for this weed have been poorly reviewed. A systematic review of the literature published over the last 50 years was used to assess the most studied control methods of C. dactylon (excluding synthetic herbicides) and to summarize the trends and knowledge gaps. The major findings are as follows: (1) the number of publications that studied alternative methods to synthetic chemical control in C. dactylon management has been increasing exponentially since 1972; (2) most of the studies were made under controlled conditions (57%) and lack observations under real production conditions; (3) most of the field experiments were carried out in Asia (42%), under temperate subtropical and arid climates; (4) the publication of articles studying allelopathy stands out significantly (50% of the papers found), with two species from the Poaceae family, rice (Oryza sativa L.) and sorghum (Sorghum bicolor (L.) Moench), showing very high allelopathic inhibitory effects (often above 80%), especially under open field conditions; and (5) preventive soil tillage is the most studied treatment among indirect weed control treatments, and although there is a high risk of propagation, the results indicate that tillage can significantly contribute to control C. dactylon, when compared to no-tillage treatments. Further research is needed to optimize treatments and methods so that they can be applied by farmers under real production conditions.
Transitionspsychiatrische Bedürfnisse und Identitätsentwicklung von Adoleszenten in Tirol
Authors: Kunczicky Kerstin , Jahnke-Majorkovits Ann-Christin , Sevecke Kathrin 
Published: August 2023

Zusammenfassung
Grundlagen
Durch die strukturelle Trennung der kinder- und jugendpsychiatrischen und der erwachsenenpsychiatrischen Behandlung ist ein Wechsel zwischen diesen beiden System mit Erreichen des 18. Lebensjahres vorgesehen. Vor dem Hintergrund der Bedeutung eines organisierten Übergangs (Transition) wurden Patient:innen im Transitionsalter ab 17 Jahren zu ihren Transitionsbedürfnissen und Aspekten ihrer Identitätsentwicklung befragt. Dadurch sollen zukünftige Verbesserungen der Versorgungsstrukturen in dieser sensiblen Phase abgeleitet werden.

Methodik
Mit Hilfe des Transition Readiness and Appropriateness Measure (TRAM) wurden die transitionsspezifischen Bedürfnisse der 17- bis 24-jährigen Patient:innen (N = 39) der Abteilung für Kinder- und Jugendpsychiatrie, Psychosomatik und Psychotherapie in Hall in Tirol befragt. Außerdem wurde anhand des Assessment of Identity Development in Adolescence (AIDA) der Zusammenhang der Identitätsentwicklung und der Transition untersucht.

Ergebnisse
Knapp 80 % der befragten Patient:innen gaben einen weiteren Versorgungsbedarf an. Als Barrieren bezüglich der Transitionsbereitschaft wurden „patientenbezogene Faktoren“ als auch die „Unterstützung durch die Familie“ beschrieben. Zwischen der Identitätsentwicklung und der Transitionsbereitschaft bzw. dem -bedarf wurde ein signifikanter Zusammenhang gefunden (r = 0,431, p < 0,01), wobei dieser auf den Transitionsbedarf bezogen, stärker ausgeprägt war (r = 0,821 p < 0,01). Außerdem gaben die Betroffenen an, häufig und stark durch Stress belastet zu sein, 45 % berichteten von selbstverletzendem Verhalten, 48 % von Suizidgedanken bzw. -verhalten in den letzten sechs Monaten. Hinsichtlich der Psychopathologie zählten Ängste und Depressionen zu den häufigsten Symptomen. In der Beeinträchtigung des Funktionsniveaus war vor allem der Bereich „Beziehungen“ am stärksten betroffen.

Schlussfolgerungen
Die Untersuchung liefert erste Erkenntnisse zu den transitionsspezifischen Merkmalen und Bedürfnissen von Patient:innen im Transitionsalter. Eine Integration von standardisierten Messinstrumenten in institutionelle Versorgungssysteme, die die transitionsbezogenen Bedürfnisse, die Transitionsbereitschaft und den -bedarf von jungen Menschen im Transitionsalter individuell erfassen, kann eine zielgerichtete und bedürfnissgerechte Behandlung bzw. Transition erleichtern. Auch eine interdisziplinäre Zusammenarbeit der Kinder- und Jugendpsychiatrie und der Erwachsenenpsychiatrie sowie eine kontinuierliche Überführung der therapeutischen Beziehungen im Transitionsprozess sollten standardisiert gewährleistet werden.
Later School Start Times as a Public Health Intervention to Promote Sleep Health in Adolescents
Authors: Mousavi Zahra , Troxel Wendy M. 
Published: August 2023

AbstractPurpose of ReviewPoor sleep health in adolescence has long-lasting, and adverse effects on many aspects of health and functioning. Multiple factors impact sleep in adolescence including individual and family-level factors. However, early school start times are the one policy-level, and possibly the most salient environmental factor that constrains adolescent sleep at a population level.Recent FindingsDelaying school start times could be an effective strategy to promote sleep health and consequently, functioning, and physical and mental health among adolescents. Growing evidence suggests that adolescents at later-starting schools sleep longer on weekdays, have higher attendance and graduation rates, and fewer mental health symptoms compared to their peers at earlier-starting schools.SummaryThis paper reviews a summary of recent key findings and discusses future steps in translating the school start time research into policy.
Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
Authors: Li Fuquan , Zhou Yonghui , Chen YanLi , Li Jie , Dong ZhiCheng , Tan Mian 
Published: August 2023

AbstractInfrared and visible image fusion aims to generate synthetic images including salient targets and abundant texture details. However, traditional techniques and recent deep learning-based approaches have faced challenges in preserving prominent structures and fine-grained features. In this study, we propose a lightweight infrared and visible image fusion network utilizing multi-scale attention modules and hybrid dilated convolutional blocks to preserve significant structural features and fine-grained textural details. First, we design a hybrid dilated convolutional block with different dilation rates that enable the extraction of prominent structure features by enlarging the receptive field in the fusion network. Compared with other deep learning methods, our method can obtain more high-level semantic information without piling up a large number of convolutional blocks, effectively improving the ability of feature representation. Second, distinct attention modules are designed to integrate into different layers of the network to fully exploit contextual information of the source images, and we leverage the total loss to guide the fusion process to focus on vital regions and compensate for missing information. Extensive qualitative and quantitative experiments demonstrate the superiority of our proposed method over state-of-the-art methods in both visual effects and evaluation metrics. The experimental results on public datasets show that our method can improve the entropy (EN) by 4.80%, standard deviation (SD) by 3.97%, correlation coefficient (CC) by 1.86%, correlations of differences (SCD) by 9.98%, and multi-scale structural similarity (MS_SSIM) by 5.64%, respectively. In addition, experiments with the VIFB dataset further indicate that our approach outperforms other comparable models.