bluuebunny/crossref_metadata_2025_split huggingface dataset:
Host-Directed anti-fusion aptamers and small molecules as Respiratory Syncytial Virus (RSV) inhibitors: An Insilco-based study.
Authors: Charles Ssemuyiga 
Published: September 2023

Abstract
RSV remains a burden on healthcare systems and society despite medical advancements. For over 60 years, developing a vaccine for RSV has been a top priority, but efforts have been ineffective. The physical interactions between Nucleolin (NCL) RBD1,2 and RSV-F protein during virus entry were identified by peptide arrays as two antiparallel strands of β-sheet in RBD1. I screened for novel NCL-targeting ligands to inhibit this interaction. In a nutshell, small molecule inhibitors and nucleic acid aptamers were specifically docked to NCL RBD1, 2. A total of 528 aptamers were docked to NCL RBD1,2 on the HDOCK website; the top 180 aptamers with docking scores equal to or better than -200 were then re-docked at the HADDOCK website, and the top 58 aptamers were chosen. Additionally, 976,450 small molecules were docked using Schrodinger Virtual Screening Workflow, and the top 50 ligands underwent post-docking validation using Prime MM_GBSA. The 16 best ligands were chosen from the top 30 using binding affinity from Molegro Virtual Docker. For molecular simulation dynamics studies, four protein-ligand complexes and six protein-aptamer complexes were randomly chosen and the results were analyzed. The results show that the selected NCL ligands are potential NCL binders and can inhibit NCL-RSV-F interactions. Results suggest that aptamers are better binders than small molecules. BDBM50308336, 1exd, and 5uza formed the most stable complexes. With many benefits as host-directed therapeutics, these ligands need in-vitro testing for potential inhibition of RSV entry besides some probable drawbacks.
A trafficking regulatory subnetwork governs αVβ6 Integrin-HER2 crosstalk to control breast cancer invasion and drug resistance
Authors: Morgan Mark , Maldonado Horacio , Dreger Marcel , Wolanska Katarzyna , Kyriakou Theano , Marotta Valeria , Webster Justine , Wang Jun , Rusilowicz-Jones Emma , Marshall John , Coulson Judy , Macpherson Iain , Hurlstone Adam 
Published: September 2023

Abstract
HER2 and αVβ6 integrin are independent predictors of breast cancer survival and metastasis. We investigated αVβ6 signalling and identified an αVβ6/HER2 crosstalk mechanism, which drives invasion and is dysregulated in drug resistant HER2+ breast cancer cells. Proteomic approaches revealed ligand-bound αVβ6 recruits HER2 and a trafficking regulatory subnetwork comprising the small GTPases RAB5 and RAB7A, and the Rab regulator GDI2. We show that the RAB5/RAB7A/GDI2 functional module mediates direct crosstalk between αVβ6 and HER2, impacting receptor trafficking and signalling. Acute exposure to trastuzumab increases recruitment of the RAB5/RAB7A/GDI2 subnetwork to αVβ6, but trastuzumab resistance decouples GDI2 recruitment from this trafficking module. Consequently, GDI2, RAB5 and RAB7A cooperate to regulate migration and TGFβ activation to promote tumour cell invasion and dissemination. However, these mechanisms are dysregulated following acquired trastuzumab resistance. In patients, RAB5, RAB7A & GDI2 expression correlates with patient survival and αVβ6 expression predicts therapeutic response following breast cancer relapse. Thus, the RAB5/RAB7A/GDI2 subnetwork regulates αVβ6-HER2 crosstalk to drive breast cancer invasion, but is subverted in trastuzumab resistant cells to drive αVβ6- and HER2-independent tumour progression.
Overexpression of CXCL5 promotes proliferation and infiltration of esophageal squamous cell carcinoma
Authors: Huang Cong-Gai , Liu Qing , Zheng Shu-Tao , shen Jing , Xiao Zhan-Gang , Yang Zhi-Hui , Du Fei , Zheng An-Fu , Liu Tao , Tan Yi-Yi , Peng Tian-Yuan , Chen Jiao , Lu Xiao-Mei 
Published: September 2023

Abstract
Purpose: To investigate the function of CXCL5 in esophageal squamous cell carcinoma (ESCC) development in vivo and in vitro.
Methods: The expression levels of CXCL5 in ESCC tissues and adjacent tissues were detected in immunohistochemistry (IHC), and the relationship between CXCL5 expression in cancer tissues and clinicopathologic parameters was analyzed. Survival, differential and enrichment analyses were performed in the TCGA cohort. Protein expression of CXCL5 was detected by western blot (WB). Proliferation, migration and invasion of ESCC cells were detected by CCK-8, plate cloning and transwell in vitro. Further validation of CXCL5 function in vivo was performed by nude mouse experiments.
Results: The expression intensity of CXCL5 in cancer tissues was higher than that in adjacent tissues (c2=13.434, P=0.000), confirming that the expression of CXCL5 was up-regulated in ESCC tissues. CXCL5 expression level was statistically correlated with lymph node metastasis of ESCC (c2=13.697, P=0.000), but not with age, gender, tumor size, degree of differentiation, and distant metastasis (P>0.05). Overexpression of CXCL5 significantly increased tumor proliferation, colony formation, migration, invasion, and in vitro, increased the epithelial mesenchymal transition (EMT) and CD44 of ESCC cells, and promoted tumor growth in vitro and in vivo through the STAT3 pathway.
Conclusion: CXCL5 expression was up-regulated and predicted poor prognosis in ESCC. Overexpression of CXCL5 was found to promote the proliferation, migration, invasion, and EMT process of ESCC through the STAT3 pathway. Taken together, CXCL5 may be an oncogenic gene in ESCC.
Graph Neural Networks for Traffic Prediction and Smart City Applications
Authors: Neyigapula Bheema Shanker 
Published: September 2023

Abstract
With the growing urbanization and increasing traffic challenges in smart cities, accurate traffic prediction has become a critical component for efficient urban planning and intelligent transportation systems. This research paper explores the application of Graph Neural Networks (GNNs) for traffic prediction and its implications in various smart city applications. GNNs offer a promising approach to model the complex relationships and interactions inherent in traffic networks, making them well-suited for traffic prediction tasks. The paper presents a com- prehensive literature review on traffic prediction techniques, highlighting the evolution of GNNs in this domain. Furthermore, a proposed framework out- lines the steps involved in designing and implementing GNN models for traffic prediction in smart cities. The performance evaluation and comparison section demonstrates the effectiveness of GNNs against traditional methods, emphasiz- ing their accuracy and interpretability. Several case studies showcase real-world implementations of GNNs in smart city applications, such as urban planning, intelligent transportation systems, and real-time traffic management. Finally, the research paper discusses the challenges and future directions in leveraging GNNs for traffic prediction and smart city advancement.
Sharp lower bounds for negative moments of quadratic twist of modular L-functions
Authors: Bian Huaqing , Yan Xiaofei , Yue Ruiyang 
Published: September 2023

Abstract
We establish sharp lower bonds for the 2k-th moment of families of quadratic twists of modular L-functions at the central point for all real k < 0, assuming a generalized form of the conjecture of S. Chowla on the non-vanishing of these L-values
Mathematics Subject Classification (2010): 11M06
The Baveno classification as a predictor of CPAP titration pressure in obstructive sleep apnea syndrome
Authors: Ehab Ahmed , Kempa Axel T. , Englert Harald , Bittar Shaza Almasri , Yousef Aida M. , Abdelwahab Heba Wagih 
Published: September 2023

Abstract
Introduction:
Obstructive sleep apnea syndrome (OSAS) is defined as a clinical condition characterized by repeated periods of partial or full obstruction of airflow throughout sleep, with a known impairment of the quality of life and increased mortality as well as the socioeconomic impacts. Continuous positive airway pressure (CPAP) therapy is a simple and effective treatment option for patients with OSAS. To overcome the clinical and prognostic limitations of the apnea–hypopnea index (AHI) – as a sole index of OSAS – the Baveno classification was recently set out and introduced in the clinical practice.
This study aims to analyze the effect of the Baveno classification on the optimum CPAP titration pressure.
Patients and methods:
A retrospective analysis of the records of sleep studies in two centers between 2018 and 2021 was carried out. Patients diagnosed with OSAS and recruited for CPAP titration were included in the study. In accordance with the Baveno classification, the patients were categorized into four groups (A, B, C, and D), depending on their symptoms and the presence of comorbidities.
Results:
A total number of 700 patients were analyzed and 427 patients with OSAS were finally included in the study. A significant positive correlation was detected between CPAP optimum titration pressure on one side and OSAS severity, neck circumference, the oxygen desaturation index (ODI), mean oxygen saturation, the AHI, the body mass index (BMI), and cumulative sleep time when SpO2 was <90% (T90) on the other side (p: <0.0001). In contrast, a nonsignificant correlation was seen between the Epworth Sleepiness Scale (ESS), symptoms severity, end-organ impact, and Baveno’s classification with CPAP optimum titration pressure (p: 0.8, 0.4, 0.5, and 0.7, respectively).
Conclusion:
The Baveno classification is not useful in the prediction of CPAP optimum titration pressure. However, the ODI and neck circumference were significant independent predictors of higher CPAP titration pressure.
An EfficientNet-based Ensemble for Bird-Call Recognition with Enhanced Noise Reduction
Authors: Ansar Wazib , Chatterjee Ahan , Goswami Saptarsi , Chakrabarti Amlan 
Published: September 2023

Abstract
Birds are an integral part of the biological ecosystem. However, spotting birds is an arduous task than hearing them chirping. Every bird species has a signature song relying on which ornithologists study birds in an ecosystem. Thus, bird-call recognition plays a pivotal role in identifying birds, understanding biological diversity and conserving them. Previously, a few research works have attempted to devise machine learning and deep learning techniques to identify bird-calls. However, most approaches inadequately focused on pre-processing and eliminating background noise from the audio input. In this paper, a fine-tuned EfficientNet-based ensemble model to classify avian species has been proposed with a novel tri-layered noise reduction approach. It has been augmented with a thresholding-based approach which discards the noisy samples altogether. Furthermore, a tri-point trade-off between the accuracy, model depth and the model parameter has been hypothesized and validated. The proposed methodology surpasses the existing state-of-the-art models yielding an accuracy of 0.97 and an F1-score of 0.95 on the Cornell Birdcall Identification task.
Ab initio uncertainty quantification of neutrinoless double-beta decay in 76Ge
Authors: Belley Antoine , Yao Jiangming , Bally Benjamin , Pitcher Jack , Engel Jonathan , Hergert Heiko , Holt Jason , Miyagi Takayuki , Rodriguez Tomas , Romero Antonio Marquez , Stroberg Ragnar , Zhang Xin 
Published: September 2023

Abstract
The observation of neutrinoless double-beta (0νββ) decay would offer proof of lepton number violation, demonstrating that neutrinos are Majorana particles, while also helping us understand why there is more matter than antimatter in the Universe. If the decay is driven by the exchange of the three known light neutrinos, a discovery would, in addition, link the observed decay rate to the neutrino mass scale through a theoretical quantity known as the nuclear matrix element (NME). Accurate values of the NMEs for all nuclei considered for use in 0νββ experiments are therefore crucial for designing and interpreting those experiments. Here, we report the first comprehensive ab initio uncertainty quantification of the 0νββ-decay NME, in the key nucleus 76Ge. Our method employs nuclear strong and weak interactions derived within chiral effective field theory and recently developed many-body emulators. Our result, with a conservative treatment of uncertainty, is an NME of $3.44^{+1.33}_{-1.56}$, which, together with the best-existing half-life sensitivity, sets an upper limit for effective neutrino mass of $141^{+117}_{-39}$ meV. The result is important for designing next-generation germanium detectors aiming to cover the entire inverted hierarchy region of neutrino masses. When extended to other isotopes, our approach will allow a careful comparison of experiments.
Schools’ air quality monitoring for health and education: methods and protocols of the SAMHE project
Authors: CHATZIDIAKOU LIA , Archer Rhys , Beale Victoria , Bland Sam , Carter Holly , Castro-Faccetti Claudia , Edwards Hannah , Finneran Joshua , Hama Sarkawt , Jones Roderic L. , Kumar Prashant , Linden Paul F. , Rawat Nidhi , Roberts Katherine , Symons Charles , Vouriot Carolanne , Wang Douglas , Way Lucy , West Sarah , Weston Dale , Williams Natalie , Wood Samuel , Burridge Henry C. 
Published: September 2023

Abstract
Background: Children spend significant amounts of time at school, making the school environment a potentially important contributor to air quality exposure.
Aim: The SAMHE project has a dual aim: 1) to develop and test a bespoke citizen science framework for collecting environment and indoor air quality data in classrooms, alongside contextual data capable of enriching analysis, at an unprecedented scale; and, 2) to simultaneously use these methods to raise awareness among communities regarding their exposure to air pollution in the school environment.
Methodology: To achieve this dual aim, the SAMHE project will deploy more than 2 000 low-cost indoor air quality monitors in school classrooms. A Web App has been co-designed with schools to support collecting a large comprehensive dataset (including school buildings’ characteristics, operation and behavioural patterns) and to enable students and teachers to interact with the data gathered in their school.
Results and outlook: We present the design of the interface and visuals that have been co-designed with 20+ schools and tested with 120+ schools. Within one week of the end of the SAMHE project launch week, 537 schools had registered to join the project, and at the time of writing (just seven weeks later) this number had grown to around 800 schools. This highlights the potential for this novel approach to provide a step-change in the way that indoor air quality datasets are gathered at a national and, potentially, international level while simultaneously enabling schools to better manage their indoor environment and empowering students and teachers to reduce their environmental health risks.
Can we assess attitudes toward AI with single items? Associations with existing attitudes toward AI measures and trust in ChatGPT in two German speaking samples
Authors: Montag Christian , Ali Raian 
Published: September 2023

Abstract
A growing number of researchers investigate individual differences in attitudes toward artificial intelligence (AI), which is not surprising given that the AI revolution is impacting societies around the globe. Different frameworks have been proposed to study both positive and negative attitudes toward AI. To our knowledge, the present work is the first to simultaneously investigate the ATAI (Attitude toward Artificial Intelligence scale) and the GAAI (General Attitude toward Artificial Intelligence Scale). Further, two single items assessing positive and negative attitudes toward AI were added to the study to see if they would grasp substantial parts of the variance of the already established ATAI and GAAI inventories. Indeed, this was the case, in two samples under investigation (German speaking sample 1 = 151 participants; German speaking sample 2 = 386), because correlations were high and of moderate to large effect size when comparing associations between the single item measures and both ATAI and GAAI scales. Finally, also associations with trusting the generative AI ChatGPT were included as external validation measurement in both investigated samples. Results revealed here, that all attitude toward AI measures were associated with trusting ChatGPT. Moreover, a stepwise regression model demonstrated that the acceptance scale of the ATAI was the best predictor for trust in ChatGPT in sample 1, with more predictors in sample 2. The present work shows substantial overlap between the available attitude towards AI measures and this could be replicated in two samples. These insights can help future researchers and AI designers to choose the appropriate survey tool, when considering to assess attitude toward AI.
Accelerated Direct Hydroxylation of Aryl Chlorides with Water to Phenols via Proximity Effect in Heterogeneous Metallaphotocatalyst
Authors: Wang Kaixuan , Jiang Huating , Liu Helong , Chen Huiying , Zhang Fang 
Published: September 2023

Abstract
The proximity of different active sites in multi-catalytic systems is crucial in influencing the catalytic reactions, i.e., to occur or to be accelerated. Here we reported a heterogeneous metallaphotocatalyst prepared by embedding Ni(II) species in a photosensitive covalent organic framework (COF). A concerted triad catalytic behavior executed by electron, hole, and Ni species triggered a dramatic catalytic enhancement on the activation of aryl chlorides with water to phenols. It demonstrated a 50-fold increment in its activity when compared to homogeneous analog, e.g., NidabpyBr2. Also, it was able to tolerate a broad range of functional groups even for those hardly achieved by the thermal catalysts. Based on the detailed study, the proximity of the photoactive COF and Ni(II) sites facilitates rapid electron transfer to produce Ni(I) active sites for the oxidative addition. Meanwhile, the photogenerated holes oxidized water to hydroxyl radical, which then attacked Ni(III) intermediates to complete the catalytic cycle.
Multi-criteria analysis using satellite images and GIS for mapping groundwater recharge zones in Saudi Arabia: A case study of the Riyadh Region
Authors: M. Al Saud Mashael 
Published: September 2023

Abstract

Water scarcity is well pronounced in arid and semiarid regions where potential evapotranspiration exceeds precipitation. Saudi Arabia is one of the most water-scarce regions where there are 2 billion m3 of annual renewable freshwater resources, besides 24 billion m3 of freshwater withdrawal, especially from the aquifers with fossil water. In Saudi Arabia, floods often occur and the harvest of flood water for groundwater recharge became an issue of discussion; however, this requires determining groundwater recharge potential (GWRP) zones where water naturally percolates and feeds the depleted aquifers. This study aims to produce a detailed (digital) map for GWRP zones for the Riyadh Region by using a multicriteria approach where datasets were derived from satellite images (Landsat 7 ETM+, Spot-5, and Aster) associated with thematic maps and field surveys. The geo-information system (GIS) was also used to manipulate and integrate the geospatial data layers which represent the controlling factors on GWRP. Results show five classes of GWRP zones, where about 36,448 km2 (89.2% of the Riyadh Region) belong to high and very high GWRP. The resulting map will be key information for decision-makers to select suitable localities for groundwater artificial recharge techniques as an adaptive measure for the changing climate.
O Tempo e o drama no registro diário e na documentação pedagógica
Authors: Pereira Batista Eduardo 
Published: September 2023

Uma pergunta desconcertante, um olhar enigmático, um silêncio incômodo, uma baderna endiabrada, um gesto inesperado, uma fala que expõe o saber e o sujeito da cena educativa podem se tornar o ponto de partida para composição de uma pequena narrativa sobre o que fazemos e o que sofremos cotidianamente na companhia das crianças em uma escola da infância. A partir do enlace entre os aportes teóricos provenientes das pedagogias da infância e das críticas literária e teatral, busco neste artigo descrever os três tempos do registro diário e da documentação pedagógica, indicando a possibilidade de transfigurar narrativamente a experiência vivida com as crianças. Sustento ainda que a transfiguração do registro diário em documentação pedagógica constitui uma atitude ético-política, na medida em que, ao trazer à luz do mundo público a experiência vivida entre os sujeitos da cena educativa, expõe os princípios de ação encarnados pelo/a professor/a em sua prática pedagógica.
A TELEVIGILÂNCIA À SAÚDE DA PESSOA IDOSA EM TEMPOS DE PANDEMIA DA COVID-19: UMA AVALIAÇÃO DA SATISFAÇÃO QUANTO AOS CUIDADOS DE SAÚDE
Authors: Morais Rodrigues Fillipe , Amancio Amanda de Medeiros , Sousa Lucas Cavalcante de , Mendes Tamires Carneiro de Oliveira , Guerra Eliana Costa , Ferreira Maria Ângela Fernandes 
Published: September 2023

Introdução: No cenário pandêmico do novo coronavírus, o uso de ferramentas tecnológicas por profissionais de saúde foi imprescindível e muito contribuiu na assistência ao público vulnerável. Com o intuito de evitar a exposição da pessoa idosa ao coronavírus e monitorá-la quanto ao seu estado de saúde, um projeto de telemonotiramento foi desenvolvido. Objetivo: Esse estudo visou avaliar a satisfação dos idosos monitorados pelo serviço de televigilância durante a pandemia da COVID-19 no município de Natal/RN. Metodologia: Trata-se de um estudo descritivo, com amostragem de 719 idosos avaliados, considerando uma média de 35 idosos por unidade básica de saúde, dentre as 21 unidades básicas vinculadas ao projeto, de 25 de novembro de 2020 a 10 de dezembro de 2020. Resultados: Entre os 376 idosos participantes, 238 eram do sexo feminino (63,3%), com idade média de 69 anos. Dentre os partícipes, consideraram satisfeitos quanto ao acesso à informação acerca da COVID-19 (89,6%), orientação aos cuidados (90,7%), acolhimento (90,2%). Quanto à satisfação, (67,6%) consideraram o telemonitoramento responsável pela aproximação entre idosos e unidades básicas. Conclusões: Foi alta a satisfação dos idosos acompanhados pelo serviço de televigilância, na medida que se sentiram acolhidos, bem informados e cuidados pelas equipes de saúde das unidades básicas. Dessa forma, a longitudinalidade da atenção, uma atribuição essencial da Estratégia de Saúde da Família, foi mantida pelo trabalho da televigilância.
Palavras-Chave: Televigilância; COVID-19; Atenção Integral à Saúde do Idoso; Atenção Primária à Saúde; Sistema Único de Saúde.