bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lipophilic and polar extracts in the cork-rich bark of the Miombo species Parinari curatellifolia
Authors: Malengue Abílio Santos , Simões Rita , Miranda Isabel , Pereira Helena 
Published: August 2024

AbstractThe Miombo species Parinari curatellifolia has a bark with a cork-rich rhytidome that was studied here for the first time regarding extract yields and composition, using the complete rhytidome and also the separated cork fraction. The objective was to analyse their potential as sources of extracts with antioxidant activities aiming at increasing the species’ valorization and our knowledge on cork-rich barks.The content in total extractives was 6.1% and 8.4% in rhytidome and cork, respectively, with the lipophilic extracts soluble in dichloromethane corresponding to 23% and 38% of the total extracts, respectively. In cork, triterpenes and sterols were the main families of lipophilic components (58.9% and 20.8% of all compounds, respectively) while the rhytidome lipophilic extracts had a much higher content of long-chain lipids, including alkanoic acids and ɑ,ω-diacids (28.8% and 7.0%, respectively), with terpenes representing 27.7% and sterols 8.4% of all compounds. Aromatics were also present in significant amounts of 12.1%. Triterpenes included compounds known for various therapeutic properties, e.g. betulinic acid, corosolic acid, maslinic acid and ursolic acid, thereby explaining the use of P. curatellifolia in traditional medicine. Ethanol-water extracts contained phenolics, flavonoids, and tannins, and showed low (cork) or good (rhytidome) antioxidant properties. The outerbark of P. curatellifolia is therefore a potential source of bioactive compounds.
Public perception and acceptance of coypu Myocastor coypus removal in urban areas: influences of age and education
Authors: Viviano Andrea , De Meo Isabella , Mori Emiliano , Sergiacomi Carlotta , Paletto Alessandro 
Published: August 2024

AbstractMonitoring and management of alien coypu (Myocastor coypus) is a key issue in Europe since this species has been included in the EU Invasive Alien Species Regulation 1143/2014. Thus, controlling the population of this rodent is considered as imperative by wildlife managers. Coypu management in urban areas is crucial considering potential conflicts with human activities. The aim of this study is to investigate citizens’ knowledge, perceptions and opinions towards the presence and management of coypu in a case study in Central Italy (the Serravalle urban park, Tuscany). The survey was administered to a subset of municipal residents and garnered responses from 281 park visitors. The outcomes showed a high level of knowledge of respondents: 99.3% of total respondents had heard of coypu before this survey, and 93.9% were able to distinguish the coypu from the Eurasian beaver (Castor fiber). Despite the importance of coypu control in invaded countries, our results highlight that most respondents are against the removal of coypu, with the exception of most young, highly-educated and upperclass men, but favouring sterilization over capture and population control. Findings of this study could assist managers in enhancing the efficacy of management efforts via an information initiative involving the general public. Achieving this goal may entail improved communication by wildlife managers, which is imperative for optimizing management strategies regarding alien species.
European farmhouse brewing yeasts form a distinct genetic group
Authors: Preiss Richard , Fletcher Eugene , Garshol Lars Marius , Foster Barret , Ozsahin Emine , Lubberts Mark , van der Merwe George , Krogerus Kristoffer 
Published: August 2024

Abstract
The brewing industry is constantly evolving, driven by the quest for novel flavours and fermentation characteristics that cater to evolving consumer preferences. This study explores the genetic and phenotypic diversity of European farmhouse yeasts, traditionally used in rural brewing practices and maintained outside of pure culture industrial yeast selection. We isolated landrace brewing yeast strains from diverse geographical locations across Europe, including Norway, Lithuania, Latvia, and Russia, and also included African farmhouse brewing strains from Ghana. Our genomic analysis using long-read and short-read whole genome sequencing uncovered a genetically distinct group that diverges from industrial brewing yeasts. This group, which is closely related to ale brewing strains, is preliminarily named the ‘European Farmhouse’ group and shows greater predicted admixture from Asian fermentation strains. Through genomic and phenotypic analyses, including flavour metabolite analysis via headspace gas chromatography-mass spectrometry, sugar metabolite analysis via high-performance liquid chromatography, and wort fermentation analysis, we found a broad spectrum of fermentation capabilities, from rapid and efficient fermentation to unique aroma and flavour compound profiles, potentially offering novel traits for brewing applications. This study highlights the importance of preservation of brewing cultural heritage knowledge and resources including yeast cultures.

Key points
• A large set of geographically diverse farmhouse brewing strains were characterized
• Norwegian and Baltic farmhouse brewing strains form a distinct genetic group
• Farmhouse strains show considerable diversity in fermentation and flavour formation
Highlighting immune features of the tumor ecosystem and prognostic value of Tfh and Th17 cell infiltration in head and neck squamous cell carcinoma by single-cell RNA-seq
Authors: Tian Yan , Liu Chao , Yang Wenhui , Li Xiaohui , Zhang Min , Xiong Yan , Ren Xueying , Ma Zhiguo , Jin Xuan , Wu Yanping , Dong Xin , Hu Nanlin , Xie Zhijun , Qin Yong , Wu Shikai 
Published: August 2024

Abstract
Background
Head and neck squamous cell carcinoma (HNSCC) typically present with a complex anatomical distribution, often accompanied by insidious symptoms. This combination contributes to its high incidence and poor prognosis. It is now understood that the immune features of cellular components within the tumor ecosystem and their complex interactions are critical factors influencing both tumor progression and the effective immune response.

Methods
We obtained single-cell RNA sequencing data of 26,496 cells from three tumor tissues and five normal tissues and performed subsequent analyses. Immunohistochemical staining on tumor sections was used to validate the presence of malignant cells. Additionally, we included bulk RNA sequencing data from 502 HNSCC patients. Kaplan–Meier analysis and the log-rank test were employed to assess predictors of patient outcomes.

Results
We identified three epithelial subclusters exhibiting immune-related features. These subclusters promoted the infiltration of T cells, dendritic cells, and monocytes into the tumor microenvironment. Additionally, cancer-associated fibroblasts displayed tumor-promoting and angiogenesis characteristics, contrasting with the predominant antigen-presenting and inflammatory roles observed in fibroblasts from normal tissues. Furthermore, tumor endothelial subsets exhibited a double-sided effect, promoting tumor progression and enhancing the effectiveness of immune response. Finally, follicular helper T cells and T helper 17 cells were found to be significantly correlated with improved outcomes in HNSCC patients. These CD4+ T cell subpopulations could promote the anti-tumor immune response by recruiting and activating B and T cells.

Conclusion
Our findings provide deeper insights into the immune features of the tumor ecosystem and reveal the prognostic significance of follicular helper T cells and T helper 17 cells. These findings may pave the way for the development of therapeutic approaches.
Real-life clinical benefit of oral metronomic cyclophosphamide administration in elderly and heavily pretreated epithelial ovarian cancer patients
Authors: Attianese Daniela , Massobrio Roberta , Giorgi Margherita , Villa Michela , Fuso Luca , Badellino Enrico , Bellero Marco , Ferrero Annamaria 
Published: August 2024

Abstract
Purpose
Oral metronomic cyclophosphamide (OMC) implicates the daily administration of low doses of chemotherapy. Its antitumor activity combined with an oral administration route and a good toxicity profile makes OMC an attractive option for heavily pretreated patients. We retrospectively evaluated OMC’s clinical benefit and objective response in recurrent ovarian cancer patients.

Methods
This is a retrospective observational study involving patients treated with OMC (50 mg daily) from 2017 to 2022 at the Academic Division Gynaecology, Mauriziano Hospital, Torino, Italy. Clinical benefit assessment included CA125 response, radiological response, and reported symptomatic improvement. Toxicities were reported using Common Terminology Criteria for Adverse Events version 5.0.

Results
Thirty-eight patients (average age 72, range 49–88) were included. 90% had FIGO stage III/IV at diagnosis and 64% underwent ≥ 3 previous lines of chemotherapy. Before OMC, 79% had ECOG 1 or 2. 8.6% of patients had a partial response (PR), and 40% a stable disease (SD). Median duration of response was 7.4 months. After 3 months on OMC, 51% experienced symptom improvement, and 53.3% experienced Ca125 reduction or stabilization. 66.7% of patients older than 75 responded to treatment; in 40% of cases, responses lasted ≥ 6 months (p = 0.08). No G3-4 hematological toxicities occurred. Nausea and fatigue G1–G2 were reported in 5 (13%) and 13 (34%) cases, respectively.

Conclusion
OMC is a feasible therapeutic option for recurrent ovarian cancer, providing satisfying clinical responses with a good toxicity profile, even in elderly and heavily pretreated patients with a suboptimal performance status.
Social participation of women with breast cancer compared to the general population 5 years after primary surgery—what role do medical data and cancer-related complaints play?
Authors: Sperlich Stefanie , Noeres Dorothee , Holthausen-Markou Sophia , Park-Simon Tjoung-Won , Sahiti Eranda , Geyer Siegfried 
Published: August 2024

Abstract
Purpose
This study analyzes levels of social participation in patients with breast cancer on average 5 years following primary surgery as compared to women in the general population. In addition, the role of breast cancer-related complaints and medical data as possible influencing factors on levels of patients’ social participation is investigated.

Methods
A total of n = 454 patients after primary surgery (t0) were recruited for a third follow-up study, and n = 372 completed this survey (t3), corresponding to a response rate of 82.2%. For measuring breast cancer-related complaints, participants completed a written questionnaire. Social participation was measured by a questionnaire on different leisure activities that was taken from the Socio-Economic Panel Study. Medical information was extracted from medical reports at t0. A principal component analysis was carried out to identify different dimensions of social participation. Chi2-tests and logistic regression analyses were applied to analyze social participation as compared to the general population and the role of possible medical and diagnosis-related influencing factors thereby.

Results
Compared to the general population, patients show lower levels of social participation in the domains “socio-cultural participation” and “participation in institutions,” while no significant differences for “social participation in the private sphere” and “social participation via social media” were found. Psychological symptoms, pain, and a history of mastectomy were most strongly associated with restrictions in social participation.

Conclusions
Our study suggests that social withdrawal may happen due to disease-related symptoms, preventing some breast cancer patients from participating fully in society. Cancer-related follow-ups should address this issue and support patients’ reintegration into society through appropriate therapeutic interventions.
Coupled Conditional Neural Movement Primitives
Authors: Pekmezci Mehmet , Ugur Emre , Oztop Erhan 
Published: August 2024

AbstractLearning sensorimotor trajectories through flexible neural representations is fundamental for robots as it facilitates the building of motor skills as well as equipping them with the ability to represent the world as predictable temporal events. Recent advances in deep learning led to the development of powerful learning from demonstration (LfD) systems such as Conditional Neural Movement Primitives (CNMPs). CNMPs can robustly represent skills as movement distributions and allow them to be ‘recalled’ by conditioning the movement on a few observation points. In this study, we focus on improving CNMPs to achieve a higher resource economy by adopting a divide-and-conquer approach. We propose a novel neural architecture called Coupled CNMP (C-CNMP), that couples the latent spaces of a pair of CNMPs that splits a given sensorimotor trajectory into segments whose learning is undertaken by smaller sub-networks. Therefore, each sub-network needs to deal with a less complex trajectory making the learning less resource-hungry. With systematic simulations on a controlled trajectory data set, we show that the overhead brought by the coupling introduced in our model is well offset by the resource and performance gain obtained. To be specific, with CNMP model as the baseline, it is shown that the proposed model is able to learn to generate trajectories in the data set with a lower trajectory error measured as the mean absolute difference between the generated trajectory and the ground truth. Importantly, our model can perform well with relatively limited resources, i.e., with less number of neural network parameters compared to the baseline. To show that the findings from the controlled data set well-transfer to robot data, we use robot joint data in an LfD setting and compare the learning performance of the proposed model with the baseline model at equal complexity levels. The simulation experiments show that with also the robot joint data, the proposed model, C-CNMP, learns to generate the joint trajectories with significantly less error than the baseline model. Overall, our study improves the state of the art in sensorimotor trajectory learning and exemplifies how divide-and-conquer approaches can benefit deep learning architectures for resource economy.
Utilization of genetic algorithm in tuning the hyper-parameters of hybrid NN-based side-slip angle estimators
Authors: Essa Mohamed G. , Elias Catherine M. , Shehata Omar M. 
Published: August 2024

AbstractThis paper proposes a solution to enhance and compare different neural network (NN)-based side-slip angle estimators. The feed-forward neural networks (FFNNs), recurrent neural networks, long short-term memory units (LSTMs), and gated recurrent units are investigated. However, there is a lack in the selection criteria of the architectures’ hyper-parameters. Therefore, the genetic algorithm is integrated with the NN-based estimators to find the optimal hyper-parameters for the studied architectures. The tuned hyper-parameters in this work include the number of neurons, number of layers, activation function, optimizer type, and learning rate. The objective function of the optimization problem is minimizing the root-mean-square error (RMSE) on multiple testing data. The optimal models are further included in the design of a hybrid NN estimator with Kalman filter. In the hybrid estimators, the optimal NN estimators are used as virtual sensors to correct the prediction of the side-slip angle resulting from the mathematical lateral vehicle model. Eventually, the performance of the best selected model is evaluated in terms of different metrics; mean RMSE, mean error variance, mean training time, and mean estimation time. LSTMs are found to achieve the lowest mean RMSE while being tested on highly generalized data yielding the highest training and estimation time. However, FFNNs achieve the lowest RMSE while being tested on low generalized data and the lowest training and estimation time. Meanwhile, it is observed that the hybrid estimators achieved lower RMSE with great enhancement compared to the non-hybridized ones proving the effectiveness of the proposed approach and increasing the side-slip estimation generalization ability in unknown environments with high uncertainties, which are not covered by the training dataset for the NNs estimators.
Strain Field Development, Fracturing, and Gas Ejection in Decoupled Charge Blasting Using Granite Cylinders
Authors: Chi Li Yuan , Xu Xuan , Zhang Zong-Xian , Yang Jun 
Published: August 2024

AbstractThis study explored the fracture process of granite cylinders with a centric charge, varying decoupling ratios by conducting laboratory-scale experiments and numerical simulations. In experiments, the three-dimensional (3D) digital image correlation (DIC) technique was employed, using frames captured by two synchronized high-speed cameras. This instrumentation permitted the observation of full-field strain variation, the development of fractures, and gaseous products escaping from the cylinders’ surfaces. Granite cylinders measuring 240 mm in diameter and 300 mm in length served as specimens in blasting experiments, and each specimen had a charge of approximately 3 g. Specimens had a centric blasthole with a diameter of either 10 mm, 14 mm, or 20 mm. The corresponding decoupling ratio varied from 1.8 to 3.6, and the gap between the charge and the blasthole wall was filled with water or air. The experimental results showed that: (1) specimens with decoupling ratios of 1.9 and 2.6 exhibited initial strains on the cylindrical surface between 20 μs and 40 μs. (2) Specimens with water-filled blastholes developed fractures faster and in a denser manner compared to those with air-filled blastholes. In addition, fractures resulting from air-filled blastholes appeared smoother than those from water-filled blastholes. (3) The gas ejection time for the air-filled blasthole remained basically consistent across decoupling ratios ranging from 1.5 to 3.61, varying between 400 μs and 520 μs. The utilization of water-filled blastholes effectively minimized the escape of gaseous products from the cylindrical surface. Numerical simulation conducted with LS-DYNA exhibited results that aligned well with the observed fracture patterns in the experiments. This study aims to provide a better understanding of the fundamental mechanisms of rock behaviors in decoupled charge blasting.
Psychosocial Factors Linked to Uncontrolled Infection and Mortality among People Living with HIV Who Use Substances: A Latent Class Analysis
Authors: Schmidt Renae D. , Horigian Viviana E. , Duan Rui , Traynor Sharleen T. , Davis Carly A. , Gonzalez Sophia T. , Forney Derrick J. , Mandler Raul , Del Rio Carlos , Metsch Lisa R. , Feaster Daniel J. 
Published: August 2024

AbstractTo determine whether endorsement patterns of psychosocial symptoms revealed distinct subgroups, or latent classes, of people living with HIV who use substances (PLWH-SU), and to assess whether these classes demonstrated differential health outcomes over time. This study uses data from 801 PLWH-SU initially enrolled across 11 US hospitals during 2012–2014 and followed up in 2017. Latent class analysis included 28 psychosocial items. Regression analysis examined class membership as a predictor of viral suppression. Survival analysis examined class as a predictor of all-cause mortality. The selected model identified five unique classes. Individuals in classes characterized by more severe and more numerous psychosocial symptoms at baseline had lower likelihoods of viral suppression and survival. The study demonstrated the importance of considering patterns of overlapping psychosocial symptoms to identify subgroups of PLWH-SU and reveal their risks for adverse outcomes. Integration of primary, mental health, and substance use care is essential to address the needs of this population.
Cascaded cross-modal transformer for audio–textual classification
Authors: Ristea Nicolae-Cătălin , Anghel Andrei , Ionescu Radu Tudor 
Published: August 2024

AbstractSpeech classification tasks often require powerful language understanding models to grasp useful features, which becomes problematic when limited training data is available. To attain superior classification performance, we propose to harness the inherent value of multimodal representations by transcribing speech using automatic speech recognition models and translating the transcripts into different languages via pretrained translation models. We thus obtain an audio–textual (multimodal) representation for each data sample. Subsequently, we combine language-specific Bidirectional Encoder Representations from Transformers with Wav2Vec2.0 audio features via a novel cascaded cross-modal transformer (CCMT). Our model is based on two cascaded transformer blocks. The first one combines text-specific features from distinct languages, while the second one combines acoustic features with multilingual features previously learned by the first transformer block. We employed our system in the Requests Sub-Challenge of the ACM Multimedia 2023 Computational Paralinguistics Challenge. CCMT was declared the winning solution, obtaining an unweighted average recall of 65.41% and 85.87% for complaint and request detection, respectively. Moreover, we applied our framework on the Speech Commands v2 and HVB dialog data sets, surpassing previous studies reporting results on these benchmarks. Our code is freely available for download at: https://github.com/ristea/ccmt.
SEH1L siliencing induces ferroptosis and suppresses hepatocellular carcinoma progression via ATF3/HMOX1/GPX4 axis
Authors: Feng Ziyang , Cao Ke , Sun Haojia , Liu Xuewen 
Published: August 2024

AbstractSEH1 like nucleoporin (SEH1L) is an important component of nuclear pore complex (NPC), which is crucial in the regulation of cell division. However, the interrelation between SEH1L expression and tumor progression is less studied. In this research, we performed a systematic bioinformatic analysis about SEH1L using TCGA, Timer 2.0, Cbioportal, UCLAN and CellMiner™ databases in pan-cancer. Besides, we further validated the bioinformatic results through in vitro and in vivo experiments in HCC, including transcriptome sequencing, real-time quantitative PCR (RT-qPCR), western blotting (WB), immunohistochemistry (IHC), cell proliferation assays, clone formation, EdU, transwell, flow cytometry and subcutaneous tumor model. Our results suggested that SEH1L was significantly up-regulated and related to poor prognosis in most cancers, and may serve as a potential biomarker. SEH1L could promote HCC progression in vitro and in vivo. Besides, the next generation sequencing suggested that 684 genes was significantly up-regulated and 678 genes was down-regulated after the knock down of SEH1L. SEH1L siliencing could activate ATF3/HMOX1/GPX4 axis, decrease mitochondrial membrane potential and GSH, but increase ROS and MDA, and these effects could be reversed by the knock down of ATF3. This study indicated that SEH1L siliencing could induce ferroptosis and suppresses hepatocellular carcinoma (HCC) progression via ATF3/HMOX1/GPX4 axis.