bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of telomere length and telomerase activity on predicting in vitro fertilization treatment outcomes
Authors: Fragkiadaki Persefoni , Kouvidi Elisavet , Angelaki Anna , Nikolopoulou Dimitra , Vakonaki Elena , Tsatsakis Aristidis 
Published: May 2024

AbstractThe current article is a literature review aiming to provide an overview of the existing knowledge on the association between telomere length and telomerase activity and in vitro fertilization. Recently, telomeres have been used as an effective biomarker to determine biological age, which may differ from chronological age due to genetic, lifestyle, and environmental factors. Cellular senescence, along with other exogenous and mainly environmental factors, can enhance telomere wear, further shortening their ends and may also affect reproductive aging. IVF is a common fertility treatment caused by female reasons (age, ovulation disorders, damaged or blocked fallopian tubes, endometriosis), male reasons (low sperm quantity or quality), or unexplained infertility. A growing number of studies have proposed a relationship between telomere length and telomerase activity and IVF success and have suggested their use as candidate biomarkers for IVF outcome. Nevertheless, additional studies are necessary to be conducted, in order to clarify the possible implication of telomeres in IVF and to evaluate their possible role as valuable predictors of IVF result.
Math anxiety effects on consumer purchase decisions: the role of framing
Authors: Andersen Peter , Weisstein Fei L. , Monroe Kent B. 
Published: May 2024

AbstractMathematics anxiety, an emotional state resulting in negative responses to math problems and numerical information, has been extensively studied in educational psychology. Research on the impact of math anxiety on consumer purchase decisions, however, is still in its nascent stages. This paper examines the interaction between math anxiety and different promotion framing formats on consumers’ perceived savings, price acceptability, and purchase decisions. Across two studies, we demonstrate that consumers with varying levels of math anxiety respond differently to various promotion frames: a gain versus a reduced loss and a single discount versus multiple discounts. We further show that consumers with insufficient math ability may experience negative affect and heighten math anxiety, particularly when faced with numerical and arithmetic tasks commonly encountered while shopping.
A Dialogues Summarization Algorithm Based on Multi-task Learning
Authors: Chen Haowei , Li Chen , Liang Jiajing , Tian Lihua 
Published: May 2024

AbstractWith the continuous advancement of social information, the number of texts in the form of dialogue between individuals has exponentially increased. However, it is very challenging to review the previous dialogue content before initiating a new conversation. In view of the above background, a new dialogue summarization algorithm based on multi-task learning is first proposed in the paper. Specifically, Minimum Risk Training is used as the loss function to alleviate the problem of inconsistent goals between the training phase and the testing phase. Then, in order to deal with the problem that the model cannot effectively distinguish gender pronouns, a gender pronoun discrimination auxiliary task based on contrast learning is designed to help the model learn to distinguish different gender pronouns. Finally, an auxiliary task of reducing exposure bias is introduced, which involves incorporating the summary generated during inference into another round of training to reduce the difference between the decoder inputs during the training and testing stages. Experimental results show that our model outperforms strong baselines on three public dialogue summarization datasets: SAMSUM, DialogSum, and CSDS.
Cutting-Edge of Genotyping by Sequencing (GBS) for Improving Drought and Salinity Stress Tolerance in Watermelon (Citrullus lanatus L.): A Review
Authors: Nyirahabimana Fildaus , Solmaz İlknur 
Published: May 2024

Abstract
Genotyping by sequencing (GBS) is a very helpful approach and one of the most useful techniques for examining and analysing the genetic variation of various lines and varieties. GBS technology was used to identify single nucleotide polymorphisms (SNPs) and assess genetic variation in several watermelon accessions. GBS application in watermelon breeding programs has recently become a popular technique among many breeders. Watermelon (Citrullus lanatus L.) is a warm-season crop that is widely cultivated for its delicious fruit. And it is one of the most economically significant crops in the world. However, watermelon cultivation is frequently hampered by abiotic stressors such as drought and salinity. Recently, there has been a growing body of research on the mechanisms that allow watermelon to tolerate these stresses and improve crop yield. Generally, cucurbits are beneficial to human health, they provide necessary minerals, fibre, and nutrient components. Therefore, this review demonstrates the cutting edge of using GBS technology to identify genetic design of several features in watermelon to improve abiotic stresses (drought and saline). The application of the GBS technique has provided a distinct advantage in watermelon breeding studies. Based on GBS approach, many new candidate genes in watermelon lines control a variety of traits including saline and drought tolerance, fruit rind color, disease tolerance, nutrient components, size, and fruit shape were discovered. Modern breeding techniques are being used to develop economically viable vegetable crops that will meet customer preferences and needs. Further research is needed to enhance watermelon production.
A prototype system for the removal of 137Cs from liquid radioactive waste using reverse osmosis membrane
Authors: Shaltout Mohamed , Kandil Shaban , El-Tabl Abdou Saad , Aglan Hany , El-Din Ahmed M. Shahr , Mohamed Yasser T. 
Published: May 2024

AbstractCesium removal from aqueous solutions of radioactive waste streams is a challenge in the field of radioactive waste management; this is due to the small atomic radii of Cs+ metal ions and their high migration ability. So, the development of a withstand system for the removal of Cs+ is crucial. In the current study, the removal of radioactive cesium from aqueous solutions using an RO-TLC membrane was studied. Two modifications were conducted; the first is to enlarge the cesium metal ion radii by interacting with mono- and dibasic acids, namely, stearic acid, tartaric acid, citric acid, and EDTA, and the second is the modification of the RO membrane pore size via reaction with the same acids. The modification was confirmed using SEM, FTIR, and EDX analysis techniques. The Cs+ and K+ rejection capacities and water permeability across the membrane at 1.5 bars were evaluated. Along with using the above-mentioned acids, the Cs+ metal ion retention index (RCs) was also obtained. It was found that employing EDTA as a chelating agent in an amount of 1.5 g/L in conjunction with the variation of feed content since it provided the highest value of RCs ~ 98% when used. Moreover, the elution of Cs+ using water, EDTA, ammonia, and HCl is also investigated. The optimal value of the eluent concentration was (0.25 M) HCl. Finally, Langmuir and Freundlich isotherm models were applied for a better understanding of the sorption process. The results of the present work more closely match the Langmuir isotherm model to determine the dominance of the chemical sorption mechanism.
Using non-invasive behavioral and physiological data to measure biological age in wild baboons
Authors: Weibel Chelsea J. , Dasari Mauna R. , Jansen David A. , Gesquiere Laurence R. , Mututua Raphael S. , Warutere J. Kinyua , Siodi Long’ida I. , Alberts Susan C. , Tung Jenny , Archie Elizabeth A. 
Published: May 2024

AbstractBiological aging is near-ubiquitous in the animal kingdom, but its timing and pace vary between individuals and over lifespans. Prospective, individual-based studies of wild animals—especially non-human primates—help identify the social and environmental drivers of this variation by indicating the conditions and exposure windows that affect aging processes. However, measuring individual biological age in wild primates is challenging because several of the most promising methods require invasive sampling. Here, we leverage observational data on behavior and physiology, collected non-invasively from 319 wild female baboons across 2402 female-years of study, to develop a composite predictor of age: the non-invasive physiology and behavior (NPB) clock. We found that age predictions from the NPB clock explained 51% of the variation in females’ known ages. Further, deviations from the clock’s age predictions predicted female survival: females predicted to be older than their known ages had higher adult mortality. Finally, females who experienced harsh early-life conditions were predicted to be about 6 months older than those who grew up in more benign conditions. While the relationship between early adversity and NPB age is noisy, this estimate translates to a predicted 2–3 year reduction in mean adult lifespan in our model. A constraint of our clock is that it is tailored to data collection approaches implemented in our study population. However, many of the clock’s components have analogs in other populations, suggesting that non-invasive data can provide broadly applicable insight into heterogeneity in biological age in natural populations.
BraNet: a mobil application for breast image classification based on deep learning algorithms
Authors: Jiménez-Gaona Yuliana , Álvarez María José Rodríguez , Castillo-Malla Darwin , García-Jaen Santiago , Carrión-Figueroa Diana , Corral-Domínguez Patricio , Lakshminarayanan Vasudevan 
Published: May 2024

AbstractMobile health apps are widely used for breast cancer detection using artificial intelligence algorithms, providing radiologists with second opinions and reducing false diagnoses. This study aims to develop an open-source mobile app named “BraNet” for 2D breast imaging segmentation and classification using deep learning algorithms. During the phase off-line, an SNGAN model was previously trained for synthetic image generation, and subsequently, these images were used to pre-trained SAM and ResNet18 segmentation and classification models. During phase online, the BraNet app was developed using the react native framework, offering a modular deep-learning pipeline for mammography (DM) and ultrasound (US) breast imaging classification. This application operates on a client–server architecture and was implemented in Python for iOS and Android devices. Then, two diagnostic radiologists were given a reading test of 290 total original RoI images to assign the perceived breast tissue type. The reader’s agreement was assessed using the kappa coefficient. The BraNet App Mobil exhibited the highest accuracy in benign and malignant US images (94.7%/93.6%) classification compared to DM during training I (80.9%/76.9%) and training II (73.7/72.3%). The information contrasts with radiological experts’ accuracy, with DM classification being 29%, concerning US 70% for both readers, because they achieved a higher accuracy in US ROI classification than DM images. The kappa value indicates a fair agreement (0.3) for DM images and moderate agreement (0.4) for US images in both readers. It means that not only the amount of data is essential in training deep learning algorithms. Also, it is vital to consider the variety of abnormalities, especially in the mammography data, where several BI-RADS categories are present (microcalcifications, nodules, mass, asymmetry, and dense breasts) and can affect the API accuracy model.
Graphical abstract
Asymmetrisch verteilte Teilhabe
Authors: Jandura Olaf , Köhler Nele 
Published: May 2024

ZusammenfassungIn den Möglichkeiten der Anschlusskommunikation online liegt ein hohes Demokratisierungspotential der Gesellschaft. Durch die Beteiligung möglichst vieler Bürger am politischen Diskurs kann ein neuer inklusiver und vielstimmiger Kommunikationsraum geschaffen werden, in dem die pluralen, vielschichtigen Stimmen der Gesellschaft über die persönlichen Kommunikationsnetzwerke der Einzelnen hinaus in den Austausch treten und so Koorientierung ermöglicht wird. Doch in der Forschung gibt es unterschiedliche Deutungen, ob und inwieweit diese Potenziale eingelöst werden. Der vorliegende Beitrag analysiert basierend auf einer Onlinebefragung die Teilhabe an verschiedenen Formen der Anschlusskommunikation aus einer Milieuperspektive. Die Befunde zeigen, dass die Muster der Anschlusskommunikation sich mit den Ergebnissen der sonstigen Kommunikationspraktiken in den politisch-kommunikativen Milieus decken. Ein politisch selbstbewusstes, engagiertes und informiertes Milieu nutzt besonders die proaktiven Möglichkeiten der Anschlusskommunikation, um Meinungen zu debattieren und auszutauschen. Ein sich in der kommunikativen Teilhabe zurückhaltendes Milieu partizipiert in ebenso geringem Maße an der Anschlusskommunikation und koppelt sich so von einem integrierten Kommunikationsraum ab. Sich abschottende Milieus legen einen starken Fokus auf reaktive Formen der Anschlusskommunikation, die zur permanenten Affirmation eigener Ansichten genutzt werden. Diese unterschiedliche Nutzung trägt dazu bei, dass gesellschaftliche Spaltungstendenzen eher bestärkt statt reduziert werden.
CALPHAD-Based Modeling and Experimental Validation of Silicon Effect on the Solidification Behavior of Novel SiNb Cast Irons
Authors: Aktaş Çelik Gülşah , Atapek Ş. Hakan , Polat Şeyda , Haidemenopoulos Gregory N. 
Published: May 2024

AbstractThe low oxidation resistance of SiMo ductile cast irons used as exhaust manifold material at high temperatures necessitates the development of new generation ductile cast iron compositions. New alloy designs can be made using CALPHAD methodology, and solidification sequence, segregation and critical phase transformation temperatures can be determined, especially for the solidified bulk materials. Thus, in commercial practicality, castable compositions with a raised A1 temperature can be obtained. In this study, novel SiNb cast irons with varying silicon contents were developed as candidate materials for exhaust manifolds. Solidification sequence, microsegregation, phase transformations, equilibrium phases of hypereutectic compositions containing 4 to 7 wt pct Si were calculated by CALPHAD-based modeling. The bulk materials of the studied compositions were cast as Y blocks and metallurgical analyzes were carried out. Studies revealed that; (i) in the ferritic matrix of the cast irons, graphite, Nb-rich carbides and some pearlite existed, (ii) pearlite formation was due to the negative segregation of silicon and positive segregation of manganese during solidification, (iii) as silicon content increased the amount of silicon dissolved in ferrite phase increased in the solidified structure and as a result pearlite formation decreased at the cell boundaries, and amount of vermicular graphite increased, (iv) depending on the silicon content the critical A1 temperature varied between 860 °C to 1013 °C and these values were higher than that of SiMo cast iron. All these findings revealed that SiNb cast irons had phase stability at higher temperatures compared to SiMo cast iron.
Joint input–output identification of unstable systems with kernel regularization
Authors: Fujimoto Yusuke , Sugie Toshiharu 
Published: May 2024

AbstractThis paper discusses closed-loop identification of unstable systems. In particular, we first apply the joint input–output identification method and then convert the identification problem of unstable systems into that of stable systems, which can be tackled by using kernel-based regularization methods. We propose to identify two transfer functions by kernel regularization, the one from the reference signal to the input, and the one from the reference signal to the output. Since these transfer functions are stable, kernel regularization methods can construct their accurate models. Then the model of unstable system is constructed by ratio of these functions. The effectiveness of the proposed method is demonstrated by a numerical example and a practical experiment with a DC motor.
Role of Early Left Atrial Functional Decline in Predicting Cardiotoxicity in HER2 Positive Breast Cancer Patients Treated With Trastuzumab
Authors: Bergamini Corinna , Niro Lorenzo , Springhetti Paolo , Ferri Luisa , Trento Laura , Minnucci Ilaria , Maffeis Caterina , Tafciu Elvin , Rossi Andrea , Fiorio Elena , Benfari Giovanni , Ribichini Flavio 
Published: May 2024

AbstractTrastuzumab is widely used in HER2 breast cancer. However, it may cause left ventricular (LV) dysfunction. A decrease in LV global longitudinal strain (GLS) has been previously demonstrated to be a good predictor of subsequent cancer therapy related dysfunction (CTRCD). Left atrial morphological remodeling during Trastuzumab therapy has also been shown. The aim of this study is exploring the relationship between early changes in left atrial function and the development of Trastuzumab-induced cardiotoxicity. Consecutive patients with diagnosis of HER2+non-metastatic breast cancer treated with Trastuzumab were prospectively enrolled. A clinical, conventional, and advanced echocardiographic assessment was performed at baseline and every three months, until a one-year follow-up was reached. One-hundred-sixteen patients completed the 12 months follow-up, 10 (9%) cases of CTRCD were observed, all after the sixth month. GLS and LVEF significantly decreased in the CTRCD group at 6 months of follow-up, with an earlier (3 months) significant worsening in left atrial morpho-functional parameters. Systolic blood pressure, early peak atrial longitudinal strain (PALS), peak atrial contraction (PACS) and left atrial volume (LAVI) changes resulted independent predictors of CTRCD at multivariable logistic regression analysis. Moreover, early changes in PALS and PACS resulted good predictors of CTRCD development (AUC 0.85; p = 0.008, p < 0.001 and 0.77; p = 0.008, respectively). This prospective study emphasizes that the decline in PALS and PACS among trastuzumab-treated patients could possibly increase the accuracy in identifying future CTRCD in non-metastatic HER2 breast cancer cases, adding predictive value to conventional echocardiographic assessment.
Advanced Cardiovascular Magnetic Resonance Imaging in Takotsubo Syndrome: Update on Feature Tracking and Tissue Mapping
Authors: Sclafani Matteo , Tini Giacomo , Musumeci Beatrice , Cianca Alessandro , Maestrini Viviana , Cacciotti Luca , Arcari Luca 
Published: May 2024

Abstract
Backgrounds
Takotsubo syndrome (TTS) is an intriguing clinical entity characterized by transient myocardial dysfunction. The precise pathophysiological mechanism of TTS is still unknown, but recent evidence suggests a central role of systemic inflammation associated with adrenergic discharge. Although initially considered benign, TTS has shown several potential short-term and long-term complications and adverse outcomes. To improve understanding and management, advanced cardiovascular magnetic resonance (CMR) techniques, such as feature tracking (FT) and parametric mapping, have gained attention.

Purpose of Review
The purpose of this review is to summarize the current literature on the clinical applications of CMR-FT and mapping in TTS. Additionally, the most significant and recent findings will be discussed.

Recent Findings
FT-CMR enables the parametric quantification of myocardial deformation, allowing a comprehensive evaluation of left ventricular, right ventricular, and atrial function. It provides an accurate definition of areas of myocardial dysfunction and potentially serves as a superior prognostic tool compared to ejection fraction. Tissue mapping techniques enable precise and comprehensive tissue characterization by quantifying areas of oedema, and myocardial fibrosis.

Summary
FT-CMR and mapping techniques serve as valuable prognostic tools both in the acute and chronic phases of TTS. They can detect subtle alterations and pan-cardiac involvement, while also providing important insights into the complex underlying mechanisms of the syndrome.
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information
Authors: Arafat Md. Easin , Ahmad Md. Wakil , Shovan S. M. , Haq Towhid Ul , Islam Nazrul , Mahmud Mufti , Kaiser M. Shamim 
Published: May 2024

AbstractMethylation is considered one of the proteins’ most important post-translational modifications (PTM). Plasticity and cellular dynamics are among the many traits that are regulated by methylation. Currently, methylation sites are identified using experimental approaches. However, these methods are time-consuming and expensive. With the use of computer modelling, methylation sites can be identified quickly and accurately, providing valuable information for further trial and investigation. In this study, we propose a new machine-learning model called MeSEP to predict methylation sites that incorporates both evolutionary and structural-based information. To build this model, we first extract evolutionary and structural features from the PSSM and SPD2 profiles, respectively. We then employ Extreme Gradient Boosting (XGBoost) as the classification model to predict methylation sites. To address the issue of imbalanced data and bias towards negative samples, we use the SMOTETomek-based hybrid sampling method. The MeSEP was validated on an independent test set (ITS) and 10-fold cross-validation (TCV) using lysine methylation sites. The method achieved: an accuracy of 82.9% in ITS and 84.6% in TCV; precision of 0.92 in ITS and 0.94 in TCV; area under the curve values of 0.90 in ITS and 0.92 in TCV; F1 score of 0.81 in ITS and 0.83 in TCV; and MCC of 0.67 in ITS and 0.70 in TCV. MeSEP significantly outperformed previous studies found in the literature. MeSEP as a standalone toolkit and all its source codes are publicly available at https://github.com/arafatro/MeSEP.
Generation mechanism of overpressures caused by disequilibrium compaction in the northwestern Bozhong subbasin, China
Authors: Shi Liang , Jin Zhenkui , Zhu Xiao’er , Lin Mengli , Guan Baowen 
Published: May 2024

AbstractIn sedimentary basins, deep-seated overpressure conditions are frequently encountered. However, the precise origins of these overpressure conditions and the assessment of their formation times have long presented challenges. Previous studies have primarily relied on qualitative approaches to investigate overpressure origins, leading to substantial uncertainties in their findings. Based on theories such as the effective stress law, disequilibrium compaction, equilibrium depth, and nested fluid trapping containers in this paper, a new quantitative methodology is introduced for identifying the disequilibrium-compaction-induced origins of overpressure conditions. Additionally, the formation times of overpressure can be also estimated by nested fluid trapping container theory. This methodology is successfully applied to the northwestern Bozhong subbasin in the Bohai Bay Basin, China. The results indicate that the overpressure within the Dongying Formation of the northwestern Bozhong subbasin is primarily attributed to the disequilibrium compaction of mudstone, because the disequilibrium compaction of mudstone accounts for over 90% of the pressure in sandstone. Furthermore, the overpressure system in this area is not singular but comprises multiple nested relative fluid trapping containers. The application of nested fluid trapping container theory allows for an estimation of the overpressure’s formation time, although further validation of these estimates is required. It should be noted that the method proposed in this paper is particularly suited for sedimentary basins with relatively weak tectonic activity.