bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is Sex Education Enough to Change Sexual Scripts, Promote Agency and Sexual Satisfaction? A Comparative Study Between Brazilian and Portuguese Women
Authors: Soster Andresa Pinho , Falcke Denise , Oliveira Alexandra 
Published: April 2024

AbstractTraditional sexual scripts (TSS) are associated with gender inequality for exposing women to vulnerabilities. Higher adherence to TSS has also been associated with deficits in sexual agency, contributing for decrease women’s sexual health and problems with sexual satisfaction. The sexual agency is achieved through sex education, and comparing Portugal and Brazil that treat this issue in different ways may contribute to understand the role of sex education policies. This study verified and compared the association between TSSs, sexual agency and sexual satisfaction in Portuguese and Brazilian women and analyzed the predictive power of the variables on female sexual satisfaction. A cross-sectional online survey with 322 women university students, 161 Brazilian and 161 Portuguese, aged between 18 and 29, was made using measures to verify sexual scripts, sexual agency and sexual satisfaction, and data were analyzed using statistical analyses. Results indicate a significant moderate positive association between sexual satisfaction and initiation, and communion in both groups. Initiation, refusal, communion, instrumentality, and permissiveness were predictors of sexual satisfaction in Portuguese, and initiation, communion were predictors of sexual satisfaction in the Brazilian group. Despite higher rates of sex education and practices to prevent STIs and early pregnancy in the Portuguese group, there was no significant difference in adherence to sexual scripts in the groups. Compulsory sex education in Portugal contributes to increasing sexual agency in sexual practices, but programs focused on STI prevention and early pregnancy are not enough to change TSS, promote an integral agency, and sexual satisfaction.
NEC versus NET G3—is there a grey zone? Case report of pancreatic NET G3 with rapid disease progression
Authors: Melhorn Philipp , Raderer Markus , Mazal Peter , Kozakowski Nicolas , Kiesewetter Barbara 
Published: April 2024

Summary
Introduction
Patients with well-differentiated neuroendocrine tumors of grade 3 (NET G3) exhibit a significantly better survival than patients with poorly differentiated neuroendocrine carcinomas (NEC). However, some cases of NET G3 with high Ki-67 index present with highly aggressive clinical behavior, prompting the question whether there are selected tumors representing a biological continuum between NET G3 and NEC.

Case presentation
Here we report the case of a 49-year-old man with pancreatic NET G3 metastasized to the liver. Surgery was not indicated, and the patient was initially treated with cisplatin/etoposide on account of the high proliferation rate (Ki-67 index of 50%). Restaging showed immediate disease progression with new liver metastases, so therapy with capecitabine/temozolomide was initiated and continued until progressive disease after 7 cycles. Comprehensive diagnostic evaluation, including functional imaging and genetic analyses, revealed no potential therapeutic targets, and further treatment options were limited. The patient died shortly after a therapeutic attempt with streptozotocin/5-fluorouracil.

Conclusion
This case exemplifies the unfortunate course of a rapidly progressive NET G3 and highlights the limited number of effective therapies for some tumors within the relatively new cohort of NET G3 with a yet unsatisfactory understanding of its underlying tumor biology and behavioral spectrum.
Predictive Value of 5-Methoxytryptophan on Long-Term Clinical Outcome after PCI in Patients with Acute Myocardial Infarction-a Prospective Cohort Study
Authors: Huang Kui , Wen Xiao-Qin , Zhang Wei , Wang Jing-Xian , Liang Yan , Li Wen-Qing , Wang Yu-Hang , Liang Miao-Miao , Jing An-Ran , Ma Jing , Zhang Xu , Liu Yin , Gao Jing 
Published: April 2024

Abstract
Background
In recent years, 5-Methoxytryptophan (5-MTP) has been identified as an endothelial factor with vaso-protective and anti-inflammatory properties.

Methods
In this prospective cohort study, a total of 407 patients with acute myocardial infarction (AMI) who underwent percutaneous coronary intervention (PCI) successfully were enrolled. A 1-year follow-up Kaplan–Meier survival analysis was used for evaluating the correlation between 5-MTP and major adverse cardiovascular event (MACE) while Cox proportional-hazards regression was used to identify predictive values of 5-MTP on MACE after AMI.

Results
Increased 5-MTP level led to a significant downtrend in the incidence of MACE (All Log-rank p < 0.05). Thus, a high baseline 5-MTP could reduce the 1-year incidence of MACE (HR = 0.33, 95%Cl 0.17–0.64, p = 0.001) and heart failure (HF) (HR = 0.28, 95% Cl 0.13–0.62, p = 0.002). Subgroup analysis indicated the predictive value of 5-MTP was more significant in patients aged ≤ 65 years and those with higher baseline NT-proBNP, T2DM, STEMI, and baseline HF with preserved LVEF (HFpEF) characteristics.

Conclusions
Plasma 5-MTP is an independent and protective early biomarker for 1-year MACE and HF events in patients with AMI, especially in younger patients and those with T2DM, STEMI, and baseline HFpEF characteristics.

Graphical Abstract
The component outage model for power systems using availability approximations
Authors: Arunachalam Viswanathan , Calvache Alvaro , Tansu Ayşe 
Published: April 2024

AbstractThe traditional outage models with constant failure rates do not truly reflect the environmental and operating conditions nor the effect of repair operations on power systems. This paper proposes two useful approximations for the availability function based only on the first three of the lifetime distribution. We compare the availability function of a power transformer using the numerical inverse of the transformed availability function. It also suggests methods to verify the effectiveness of the approaches. Finally, it outlines the proposed approximations to validate the efficacy of the approximations.
Overexpression of SYNGAP1 suppresses the proliferation of rectal adenocarcinoma via Wnt/β-Catenin signaling pathway
Authors: Xiao Yun , Zhu Ying , Chen Jiaojiao , Wu Mei , Wang Lan , Su Li , Feng Fei , Hou Yanli 
Published: April 2024

AbstractRectal adenocarcinoma (READ) is a common malignant tumor of the digestive tract. Growing studies have confirmed Ras GTPase-activating proteins are involved in the progression of several tumors. This study aimed to explore the expression and function of Ras GTPase-activating proteins in READ. In this study, we analyzed RNA sequencing data from 165 patients with READ and 789 normal tissue samples, identifying 5603 differentially expressed genes (DEGs), including 2937 upregulated genes and 2666 downregulated genes. Moreover, we also identified two dysregulated genes, RASA4 and SYNGAP1, among six Ras GTPase-activating proteins. High NF1 expression was associated with longer overall survival, while high SYNGAP1 expression showed a trend towards extended overall survival. Further analysis revealed the mutation frequency and copy number variations of Ras GTPase-activating proteins in various cancer samples. Additionally, DNA methylation analysis demonstrated a negative correlation between DNA methylation of Ras GTPase-activating proteins and their expression. Moreover, among Ras GTPase-activating proteins, we focused on SYNGAP1, and experimental validation confirmed that the overexpression of SYNGAP1 in READ significantly suppressed READ cell proliferation and increased apoptosis via regulating the Wnt/β-Catenin signaling pathway. These findings underscored the potential significance of SYNGAP1 in READ and provide new insights for further research and treatment.
GPS-Based Precise Orbit Determination of LEO Satellites Using Space-Based Double-Differenced Observations
Authors: Kang Zhigui , Bettadpur Srinivas , Save Himanshu , Nagel Peter 
Published: April 2024

AbstractOne of the important GPS applications in space is precise orbit determination (POD) of Low-Earth Orbit (LEO) satellites. Thousands of LEO satellites are currently in orbit. One of the challenges is how to efficiently and precisely determine the orbits to satisfy the relative and absolute accuracy needs of missions. Currently, GPS-based POD of LEO satellites can be performed using either un-differenced (UD) or ground-based double-differenced (DD) observations. The UD POD needs both precise GPS satellite orbits and clocks; the DD POD needs not only the precise orbits, but also global ground reference receivers. Therefore, the GPS-based LEO POD is based on either global ground stations or precise GNSS clocks, which are not convenient for near real-time or real-time data processing. The GPS orbits can be precisely predicted in certain time; the clocks are not. For some formation flying satellite missions (two or more LEO satellites), the absolute orbit accuracy requirements are not as stringent as the relative requirements. The problem is how to perform LEO POD without global station data and precise GPS clocks in near real-time or real-time to achieve the mission orbit accuracy requirement. Based on this motivation, we investigated the GPS-based LEO POD using space-based DD observations without using global ground station GPS data and precise GPS clock products. For this study, we processed the real GPS observations from two LEO satellites. The absolute and relative orbit accuracy is assessed using several tests, including analysis of the orbit fits, external orbit comparisons, Satellite Laser Ranging (SLR) and K-band Ranging (KBR) residuals.
PARETO – eine Strukturanalyse pandemierelevanter Fachgebiete (Studienprotokoll)
Authors: von der Eltz Viola , Groneberg David , Klingelhöfer Doris , Brüggmann Dörthe 
Published: April 2024

ZusammenfassungSeuchenausbrüche wie die Coronavirus-Disease-2019-Pandemie (COVID-19-Pandemie) sind wiederkehrende Ereignisse, welche starke universitäre Forschungsstrukturen in Form von eigenständigen Lehrstühlen erfordern. In Deutschland wurde in den letzten 30 Jahren jedoch aus verschiedenen pandemierelevanten Fachbereichen von ungenügenden Forschungsstrukturen berichtet. Mit PARETO (Pandemic Related Topics) soll daher eine bisher einzigartige, einheitliche, vergleichbare Beurteilungsbasis geschaffen werden, um gezielte Forschungsförderung zu ermöglichen. Methodik und Auswertung von PARETO sollen im vorliegenden Studienprotokoll am Beispiel der Rechtsmedizin für das Bundesland Sachsen-Anhalt vorgestellt werden. Zunächst werden ein Fachbereich und ein Referenzfachbereich ausgewählt, dessen Strukturen untersucht und miteinander verglichen werden sollen. Die Anzahl eigenständiger Lehrstühle an öffentlich finanzierten medizinischen Fakultäten und Universitätskliniken wird für das Jahr 2021 recherchiert. Bibliometrische Daten aus dem Web of Science werden über die Wahl geeigneter Web of Science-Kategorien für einen Untersuchungszeitraum von 1990–2021 ermittelt (Artikelanzahl, Zitierungsanzahl, Zitationsrate). Sie sollen die Forschungsaktivität des Staates, der Bundesländer und der Universitäten widerspiegeln, ebenso wie wichtige Kooperationen zwischen Forschungsinstitutionen und Ländern. Die Datenauswertung erfolgt vergleichend deskriptiv. Zu erwarten sind Erkenntnisse über die Repräsentation pandemierelevanter Fachbereiche in Deutschland, welche durch die Beispieluntersuchung der Rechtsmedizin veranschaulicht werden. Die geschaffene Beurteilungsbasis kann Entscheidungsträgern in Politik und Wissenschaft dienen, um Forschungsförderbedarf zu detektieren und Forschungsstrukturen für künftige Krankheitsausbrüche zu optimieren.
Biocatalytic Functionalities of Lignin Peroxidase-Based Systems in Lignin Depolymerization and Pollutants Removal from Environmental Matrices
Authors: Singh Anil Kumar , Fernandez-Lafuente Roberto , Schmidt Jens Ejbye , Boczkaj Grzegorz , Bilal Muhammad 
Published: April 2024

Abstract
Purpose of Review
In the presented review, we have summarized and highlighted recent developments in the use of lignin peroxidase (LiP) to remove a variety of pollutants from water matrices. The high redox potential of LiP is underlined by its excellent catalytic functionalities in the elimination of pharmaceuticals, phenolics, dyes, polycyclic aromatic hydrocarbons (PAHs), endocrine-disrupting chemicals (EDCs), and other miscellaneous pollutants. LiP-based computational frameworks for theoretical bioremediation of multiple pollutants have also been discussed, which have prompted a rise in scientific interest.

Recent Findings
According to current studies, both free and immobilized LiPs are biocatalysts capable of efficient pollutant degradation and LMW transformation. Some immobilized LiP preparations demonstrated excellent recyclability, enabling its reusability in multiple catalytic cycles. Additionally, computational degradability makes it easier to comprehend the mechanisms underlying the degradation of recalcitrant pollutants.

Summary
The capacity of LiP to cleave C–C and C–O–C bonds has led to its widespread application as a biocatalyst. Its outstanding potential to catalyze oxidative cleavage has been effectively used in the remediation of pollutants without needing mediators. Nevertheless, we brought attention to the current LiP system in pollutants remediation and computational framework, which has generated a significant rise in scientific interest.
Characterizing Bipartite Distance-Regularized Graphs with Vertices of Eccentricity 4
Authors: Fernández Blas , Maksimović Marija , Rukavina Sanja 
Published: April 2024

AbstractConsider a bipartite distance-regularized graph $$\Gamma $$
Γ
with color partitions Y and $$Y'$$

Y
′

. Notably, all vertices in partition Y (and similarly in $$Y'$$

Y
′

) exhibit a shared eccentricity denoted as D (and $$D'$$

D
′

, respectively). The characterization of bipartite distance-regularized graphs, specifically those with $$D \le 3$$

D
≤
3

, in relation to the incidence structures they represent is well established. However, when $$D=4$$

D
=
4

, there are only two possible scenarios: either $$D'=3$$

D
′

=
3

or $$D'=4$$

D
′

=
4

. The instance where $$D=4$$

D
=
4

and $$D'=3$$

D
′

=
3

has been previously investigated. In this paper, we establish a one-to-one correspondence between the incidence graphs of quasi-symmetric SPBIBDs with parameters $$(v, b, r, k, \lambda _1, 0)$$

(
v
,
b
,
r
,
k
,

λ
1

,
0
)

of type $$(k-1, t)$$

(
k
-
1
,
t
)

, featuring intersection numbers $$x=0$$

x
=
0

and $$y>0$$

y
>
0

(where $$y \le t < k$$

y
≤
t
<
k

), and bipartite distance-regularized graphs with $$D=D'=4$$

D
=

D
′

=
4

. Moreover, our investigations result in the systematic classification of 2-Y-homogeneous bipartite distance-regularized graphs, which are incidence graphs of quasi-symmetric SPBIBDs with parameters $$(v,b,r,k, \lambda _1,0)$$

(
v
,
b
,
r
,
k
,

λ
1

,
0
)

of type $$(k-1,t)$$

(
k
-
1
,
t
)

with intersection numbers $$x=0$$

x
=
0

and $$y=1$$

y
=
1

.
Entropy production on mixed convection stagnation point flow of nonlinear radiative fourth-grade hybrid nanofluid through a stretchable Riga surface
Authors: Mkhatshwa M. P. 
Published: April 2024

AbstractThe purpose of the current study is to inspect entropy generation, mixed convective stagnation point flow, and thermal transfer features of nonlinear radiative fourth-grade hybrid nanofluid (NF) confined by a convectively heated Riga surface. The heat transport is examined with the existence of two disparate heat source modulations, variable thermal conductivity, and viscous dissipation. The original flow equations are first transmuted using appropriate transformations into non-dimensional ordinary differential equations, which are then solved via an overlapping grid-based spectral collocation scheme. The upshots of various pertinent parameters on velocity, temperature, entropy generation, and valuable engineering quantities are deliberated. Pivotal results obtained reveal that speedily flow of fluid and skin friction can be accelerated by strong magnetic force, rising mixed convection, and material parameters. Also, convective boundary conditions, along with nonlinear radiation and fluctuating thermal conductivity, are recommended for boosting fluid temperature, rates of entropy generation and heat transport. Thermal mechanism in hybrid NF is dominant over simple NF, which implies that performance of hybrid NF is better than that of simple NF. The outcomes of this study can be useful in enriching thermal performance of the working fluid, assisting in diagnosing causes of incompetency in thermal systems, and discovering suitable means of minimizing entropy generation with the intention of mitigating the loss of useful and scarce energy resources.
The role of explainability in AI-supported medical decision-making
Authors: Gerdes Anne 
Published: April 2024

AbstractThis article positions explainability as an enabler of ethically justified medical decision-making by emphasizing the combination of pragmatically useful explanations and comprehensive validation of AI decision-support systems in real-life clinical settings. In this setting, post hoc medical explainability is defined as practical yet non-exhaustive explanations that facilitate shared decision-making between a physician and a patient in a specific clinical context. However, giving precedence to an explanation-centric approach over a validation-centric one in the domain of AI decision-support systems, it is still pivotal to recognize the inherent tension between the eagerness to deploy AI in healthcare and the necessity for thorough, time-consuming external and prospective validation of AI. Consequently, in clinical decision-making, integrating a retrospectively analyzed and prospectively validated AI system, along with post hoc explanations, can facilitate the explanatory needs of physicians and patients in the context of medical decision-making supported by AI.
Extension of CMSA with a Learning Mechanism: Application to the Far from Most String Problem
Authors: Pinacho-Davidson Pedro , Blum Christian , Pinninghoff M. Angélica , Contreras Ricardo 
Published: April 2024

AbstractOne of the problems with exact techniques for solving combinatorial optimization problems is that they tend to run into problems with growing problem instance size. Nevertheless, they might still be very usefully employed, even in the context of large problem instances, as a sub-ordinate method within so-called hybrid metaheuristics. “Construct, Merge, Solve and Adapt” (Cmsa) is a hybrid metaheuristic technique that allows the application of exact methods to large-scale problem instances through intelligent instance reduction. However, Cmsa does not make use of an explicit learning mechanism. In this work, an algorithm called $$\textsc {Learn}\_\textsc {Cmsa}$$

L

E
A
R
N

_
C

M
S
A

is presented for the application to the far from most string problem (FFMSP), which is an NP-hard combinatorial optimization problem from the field of string consensus problems. $$\textsc {Learn}\_\textsc {Cmsa}$$

L

E
A
R
N

_
C

M
S
A

results from hybridization between Cmsa and a population-based algorithm. By means of this hybridization, explicit learning is introduced to Cmsa. Even though the FFMSP is a well-studied problem, $$\textsc {Learn}\_\textsc {Cmsa}$$

L

E
A
R
N

_
C

M
S
A

achieves superior performance when compared to current state-of-the-art solvers.
IDG-SemiAD: An Immune Detector Generation-Based Collaborative Learning Scheme for Semi-supervised Anomaly Detection in Industrial Cyber-physical Systems
Authors: Huang Meng , Li Wenshan , He Junjiang , Lan Xiaolong , Li Tao , Zhang Nian 
Published: April 2024

AbstractAnomaly detection is a critical line of defense to ensure the network security of industrial cyber-physical systems. However, a significant issue in the anomaly detection is the insufficient labels of anomaly classes. With emergence of the new and unknown network attacks, accurately labeling these attacks can be a costly task. The issue of inadequate labeling may negatively impact the detection performance of many existing anomaly detection methods. To meet this gap, this paper proposes a semi-supervised collaborative learning paradigm called IDG-SemiAD, based on an immune detector generation algorithm. First, we design an immune detector generation algorithm based on a chaos map to generate abnormal samples from self-samples. Then, these abnormal samples are combined with self-samples and given specific labels to form a new training set. Finally, the LightGBM classifier is used for training and detection. Experiments on the widely used public dataset BATADAL show that the proposed IDG-SemiAD outperforms the classical v-detector method in terms of recall and f-score, with improvements of 8.2% and 8%, respectively, and outperforms deep learning-based anomaly detection methods, with a maximum improvements of up to 89.7% and 59.5% respectively.
TFITrack: Transformer Feature Integration Network for Object Tracking
Authors: Hu Xiuhua , Liu Huan , Li Shuang , Zhao Jing , Hui Yan 
Published: April 2024

AbstractDue to the ignoring of rich spatio-temporal and global contextual information with convolutional neural networks in features extraction, the traditional method is prone to tracking drift or even failure in complex scenario, especially for the tiny targets in aerial photography scenario. In this work, it proposes a transformer feature integration network (TFITrack) to obtain diverse and comprehensive target feature for the robust object tracking. Based on the typical transformer architecture, it optimizes encoder and decoder structure for aggregating discriminative spatio-temporal information and global context-awareness feature. Furthermore, the encoder introduces the similarity calculation layer and dual-attention module; the aim is to deepen the similarity between features and make corrections for channel and spatial dimensions, and feature representation is improved. Finally, with the introduction of the temporal context filtering layer, unimportant feature information is ignored adaptively, obtaining a balance between the parameters number reduction and stable performance. Experimental results show that the proposed tracking algorithm exhibits excellent tracking performance on seven benchmark datasets, especially on the aerial dataset UAV123, UAV20L, and UAV123@10fps, which presents the advantages of the novel method in dealing with fast motion and external interference.