bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Pacific Islands and Chinese power as presence, influence, and interference
Authors: Wallis Joanne , Tubilewicz Czeslaw 
Published: November 2024

Abstract
Dominant debates about China’s growing presence in the Pacific Islands – through infrastructure, aid, trade, and investment – suggest that Chinese material power directly translates to influence and effective interference in Pacific states’ domestic and foreign affairs. These perspectives fail to clarify the causal link between Chinese economic statecraft and Pacific governments’ alignment with Beijing’s interests. They also deny Pacific people agency, overlooking how power relations are mediated by Pacific state and non-state actors operating across complex political and socio-economic structures. We challenge such rationalist conceptualisations of Chinese power by developing a constructivist taxonomy of power as presence (dormant capability), influence (socialisation), and interference (incentives), and applying it to the Melanesian subregion. We argue that Chinese power is not merely material, causal, and unidirectional. Chinese power can also (re)shape the identities and interests of Pacific elites and publics in a constitutive manner, potentially aligning their ideas about substantive norms, rules, and practices guiding their foreign relations with Chinese ‘core interests’ and perspectives on regional and global politics.
The Forgotten Sex: Modern Responses to Correlative Sexism in Kang Youwei and He-Yin Zhen
Authors: Monson Lucien Mathot 
Published: November 2024

Abstract
The oversight of Chinese feminist traditions in transnational feminist discourse is remarkable given China’s historical importance and vast population. Despite historical suppression by Confucianism, Chinese feminisms emerged at the turn of the last century, drawing from Marxist, anarchist, and liberal movements. While scholars increasingly recognize overlooked female thinkers like Ban Zhao, contemporary discussions of China often revolve around reconciling Confucianism and feminism. This tendency underscores the perception of Chinese feminism as a derivative of Western feminism, where modern thinkers reject local culture for transnational movements. This paper contends that Chinese feminists, including Kang Youwei and He-Yin Zhen, remained deeply rooted in their traditions. While Kang incorporated foreign ideas to advocate for feminist goals and modernize society, he predominantly engaged with traditional philosophy to address its sexist elements. Similarly, He-Yin’s anarcho-feminist approach integrated Western influences to engage with traditional Chinese thought rather than rejecting it outright. By examining prevalent gender and selfhood concepts in traditional Chinese thought, this paper elucidates the notion of “correlative sexism,” and argues that women were not primarily regarded as a “second sex” as described by Simone de Beauvoir. The paper then demonstrates how Kang and He-Yin responded to this sexist discourse, offering novel perspectives on women’s liberation and societal reform.
¿Romper el silencio? Perspectivas feministas sobre inserción de las cientistas sociales en la academia chilena (1990–2023)
Authors: Guizardi Menara , Gonzálvez Herminia , Araya Isabel , López Eleonora 
Published: November 2024

Resumen
Este artículo analiza la inserción de investigadoras y profesoras universitarias de ciencias sociales en Chile desde 1990. Sus objetivos son indagar en la importancia de los movimientos feministas para la emergencia de la perspectiva de género y la apertura de los cuerpos académicos a la presencia femenina, y caracterizar las condiciones laborales de cientistas sociales chilenas. La metodología utilizada fue la revisión sistemática, produciéndose un análisis sociohistórico sobre la transición democrática en su vinculación con los movimientos feministas, transformaciones demográficas y rearticulación de las ciencias sociales. Analizaremos la aseveración de las lógicas neoliberales en universidades (2000–2010) y discutiremos la rearticulación entre las demandas de los movimientos feministas y las críticas al androcentrismo en las ciencias sociales chilenas (2010–2023). La contribución original del texto consiste en poner en diálogo los estudios cuantitativos, cualitativos e históricos, abriendo nuevas vetas interpretativas sobre la desigualdad de género en la ciencia y educación superior en Chile.
Is ‘orthodox panentheism’ unorthodox? A response to James Dominic Rooney
Authors: Carey Jeremiah 
Published: November 2024

Abstract
James Dominic argues in response to a previous article by me that the view according to which God is the formal cause of creatures is unorthodox and ultimately incoherent. This is because it involves either making God a part of creatures, or dividing God into finite parts, both of which, he claims, lead to contradictions with traditional Christian claims. However, Rooney both misunderstands central parts of my presentation, and fails to make his case.
Dynamical behaviour of a logarithmically sensitive chemotaxis model under time-dependent boundary conditions
Authors: Fuster Aguilera Padi , Zhao Kun 
Published: November 2024

Abstract
This article studies the dynamical behaviour of classical solutions of a hyperbolic system of balance laws, derived from a chemotaxis model with logarithmic sensitivity, with time-dependent boundary conditions. It is shown that under suitable assumptions on the boundary data, solutions starting in the

$H^2$

-space exist globally in time and the differences between the solutions and their corresponding boundary data converge to zero as time goes to infinity. There is no smallness restriction on the magnitude of the initial perturbations. Moreover, numerical simulations show that the assumptions on the boundary data are necessary for the above-mentioned results to hold true. In addition, numerical results indicate that the solutions converge asymptotically to time-periodic states if the boundary data are time-periodic.
The development and validation of the Intolerance of Uncertainty in Social Interactions Scale
Authors: Eible Anne , Fisak Brian 
Published: November 2024

Abstract
Intolerance of uncertainty (IU) is commonly defined as the tendency for one to interpret uncertainty as negative or threatening. Most general or non-specific measures of IU show a strong relationship with worry and generalized anxiety disorder symptoms; however, a specialized measure of intolerance of uncertainty in social situations could provide insight into the role of IU in social anxiety. The purpose of this study was the development and preliminary validation of the Intolerance of Uncertainty in Social Interactions Scale (IU-SIS), a comprehensive measure designed to assess intolerance of uncertainty in social situations. Participants consisted of a non-referred sample. Based on an exploratory factor analysis, a two-factor solution was retained, with factors labelled Social Ambiguity and Need to Reduce. Both subscales were found to have good reliability and validity. Both subscales of the IU-SIS predicted up variance on measures of social anxiety after controlling for variance explained by a well-established general/non-specific measure of IU. Overall, the IU-SIS shows promise as a tool to elucidate the association between intolerance of uncertainty and social anxiety.
Implementing STrAtegies for RelaTives of people with dementia (START) as a group: a service-level case study of collaboration between Talking Therapies and Memory Services
Authors: Cannon Victoria , Kuhn Ronja , Turnbull Georgina , Charlesworth Georgina 
Published: November 2024

Abstract
National guidance recommends that relatives of people with dementia receive support to develop coping strategies. STrAtegies for RelaTives (START) is an evidence-based manualised intervention for delivery on a one-to-one basis by trained graduate psychologists to family carers of people with dementia. However, implementation of START in standard National Health Service (NHS) provision has proved difficult. We describe collaboration between a Talking Therapies service and a Memory Service to co-facilitate and run START as a group. We consider implementation outcomes according to RE-AIM domains showing: the collaboration reached higher number of carers than other implementation initiatives (reach); there was significant reduction in caregiver anxiety and a trend towards significant reduction in depression (effectiveness); feedback from service users and clinicians on the service model has been positive (adoption); delivery has been supported by the written and audio materials (implementation); and the initiative has sustained over five years, despite the COVID-19 pandemic and staff turnover (maintenance). Finally, we discuss implications and potential future development.

Key learning aims

(1)
To develop knowledge about the content of the STrAtegies for RelaTives (START) coping intervention for family carers of people with dementia.

(2)
To understand the similarities between low-intensity cognitive behavioural therapy for anxiety and depression, as provided by Psychological Wellbeing Practitioners (PWPs), and START psychoeducational content and skills exercises.

(3)
To reflect on the rationale for group delivery of START.

(4)
To consider the benefits of collaboration between Talking Therapies and Memory Services for implementing START.
Cells and signals of the leukemic microenvironment that support progression of T-cell acute lymphoblastic leukemia (T-ALL)
Authors: Lyu Aram , Nam Seo Hee , Humphrey Ryan S. , Horton Terzah M. , Ehrlich Lauren I. R. 
Published: November 2024

AbstractCurrent intensified chemotherapy regimens have significantly increased survival rates for pediatric patients with T-cell acute lymphoblastic leukemia (T-ALL), but these treatments can result in serious adverse effects; furthermore, patients who are resistant to chemotherapy or who relapse have inferior outcomes, together highlighting the need for improved therapeutic strategies. Despite recent advances in stratifying T-ALL into molecular subtypes with distinct driver mutations, efforts to target the tumor-intrinsic genomic alterations critical for T-ALL progression have yet to translate into more effective and less toxic therapies. Ample evidence now indicates that extrinsic factors in the leukemic microenvironment are critical for T-ALL growth, infiltration, and therapeutic resistance. Considering the diversity of organs infiltrated by T-ALL cells and the unique cellular components of the microenvironment encountered at each site, it is likely that there are both shared features of tumor-supportive niches across multiple organs and site-specific features that are key to leukemia cell survival. Therefore, elucidating the distinct microenvironmental cues supporting T-ALL in different anatomic locations could reveal novel therapeutic targets to improve therapies. This review summarizes the current understanding of the intricate interplay between leukemia cells and the diverse cells they encounter within their tumor microenvironments (TMEs), as well as opportunities to therapeutically target the leukemic microenvironment.
VISTA-mediated immune evasion in cancer
Authors: Zhang Raymond J. , Kim Tae Kon 
Published: November 2024

AbstractOver the past decade, V-domain immunoglobulin suppressor of T-cell activation (VISTA) has been established as a negative immune checkpoint molecule. Since the role of VISTA in inhibiting T-cell activation was described, studies have demonstrated other diverse regulatory functions in multiple immune cell populations. Furthermore, its relevance has been identified in human cancers. The role of VISTA in cancer immune evasion has been determined, but its mechanisms in the tumor microenvironment remain to be further elucidated. Understanding its contributions to cancer initiation, progression, and resistance to current treatments will be critical to its utility as a target for novel immunotherapies. Here, we summarize the current understanding of VISTA biology in cancer.
Glucose-albumin ratio (GAR) as a novel biomarker for predicting postoperative pneumonia (POP) in older adults with hip fractures
Authors: Tang Wanyun , Ni Xiaomin , Yao Wei , Wang Wei , Li Yuhao , Lv Qiaomei , Ding Wenbo , He Renjian 
Published: November 2024

AbstractPostoperative pneumonia (POP) is a common complication after hip fracture surgery and is associated with increased mortality and other complications in elderly patients. This study aims to evaluate biomarkers, especially the glucose-albumin ratio (GAR), for predicting POP in elderly hip fracture patients. A total of 1279 elderly patients admitted to our hospital with hip fractures were included. We assessed 29 biomarkers and focused on GAR to determine its prognostic and predictive value for POP. Multivariable logistic regression and propensity score-matched analyses were conducted to calculate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for POP, adjusting for potential confounders. Receiver operating characteristic (ROC) curves were utilized to determine the optimal cut-off of GAR for predicting POP. Among the biomarkers and combinations assessed, GAR demonstrated superior predictive capability for POP in elderly hip fracture patients. ROC analyses showed moderate predictive accuracy of GAR for POP, with an area under the curve of 0.750. Using the optimal cut-off of 0.175, the high GAR group was significantly associated with increased odds of POP (adjusted OR 2.14, 95%, CI 1.50–3.05). These associations remained significant after propensity score matching and subgroup analyses. Dose–response relationships between GAR and POP were observed. In conclusion, GAR may be a promising biomarker to predict POP risk in elderly hip fracture patients. Further studies are warranted to validate its clinical utility. However, this study has certain limitations, including its retrospective design, potential for selection bias due to the exclusion criteria, and the single-center nature of the study, which should be addressed in future prospective, multicenter studies.
Design of EEG based thought identification system using EMD & deep neural network
Authors: Agrawal Rahul , Dhule Chetan , Shukla Garima , Singh Sofia , Agrawal Urvashi , Alsubaie Najah , Alqahtani Mohammed S. , Abbas Mohamed , Soufiene Ben Othman 
Published: November 2024

AbstractBiological communication system for neurological disorder patients is similar to the Brain Computer Interface in a way that it facilitates the connection to the outside world in real time. The interdisciplinary field of Electroencephalogram based message depiction is gaining importance as it assists the paralysed person to communicate. In the proposed method a novel approach of feature extraction is done by Empirical Mode Decomposition on non- stationary & non-linear kind of EEG signal. EMD helps in the effective time frequency analysis by disintegrating the EEG signal in the form of six Intrinsic Mode Functions with help of the frequency components. In all nine features are extracted from the decomposed IMFs so as to predict the states or messages of the patient. The above computed features are then served to the Deep Neural Network to perform the classification. The performance of suggested method is studied through applying it to the acquired database generated by the designed hardware as well as also in real time message depiction. The maximum classification accuracy 97% for the acquired database & 85% in real time are obtained respectively by comparative analysis. The command messages generated from the proposed system helps the person suffering from neurological disorder to establish the communication link with the outside world in an efficient way. Thus, the proposed novel method shows better performance in real time message depiction purpose as related to other existing methods.
The impact of novel hormonal agents on fracture risk in prostate cancer patients: a nationwide population-based cohort study
Authors: Lin Chia-Yen , Wang Chun-Li , Yang Cheng-Kuang , Li Jian-Ri , Chen Chuan-Shu , Chiu Kun-Yuan , Lin Ching-Heng , Wang Shian-Shiang 
Published: November 2024

AbstractProstate cancer (PC) treatment, particularly androgen deprivation therapy (ADT), remains pivotal, albeit linked to increased fracture risk due to osteoporosis. The advent of novel hormonal agents (NHAs) has spurred inquiries into their influence on bone health. This study aimed to evaluate the impact of NHAs on bone health in patients receiving combination therapy. We conducted a retrospective analysis using Taiwan’s National Health Insurance Research Database, encompassing men aged 45 and above diagnosed with PC without bone metastasis and undergoing ADT between 2000 and 2018. The study involved 25,949 patients, categorized into those receiving standard ADT (n = 25,166) and those on NHA combination therapy (n = 783). Our analysis delved into fracture risk, comorbidities, and osteoporosis treatments. Patients on NHA combination therapy faced significantly higher risks of any osteoporotic fracture and major osteoporotic fracture than those on ADT alone (HR = 1.29, 95% CI 1.04–1.61; HR = 1.37, 95% CI 1.06–1.75, respectively). Notably, age emerged as a critical factor, with the highest risk observed in those aged 90 or above. The 5-year overall survival rates were lower for patients who experienced any osteoporotic fracture, major osteoporotic fracture, and hospitalization due to osteoporotic fracture compared to those who did not experience these fractures (51.5% vs. 56.5%, 47.1% vs. 56.7%, and 48.2% vs. 56.3%, respectively, p < 0.001). Furthermore, patients not using any bone-modifying agents had the highest risk for all fracture types. In conclusion, NHA combination therapy in PC patients potentially escalates the risk of osteoporotic fractures, especially in older individuals. Our findings underscore the pivotal role of osteoporosis treatments in preventing fractures, emphasizing the importance of evaluating fracture risk in patients undergoing NHA combination therapy.
Hybrid energy system optimization integrated with battery storage in radial distribution networks considering reliability and a robust framework
Authors: Aliabadi Mohammad Javad , Radmehr Masoud 
Published: November 2024

AbstractThis research presents a robust optimization of a hybrid photovoltaic-wind-battery (PV/WT/Batt) system in distribution networks to reduce active losses and voltage deviation while also enhancing network customer reliability considering production and network load uncertainties. The best installation position and capacity of the hybrid system (HS) are found via an improved crow search algorithm with an inertia weight technique. The robust optimization issue, taking into account the risk of uncertainty, is described using the gap information decision theory method. The proposed approach is used with 33- and 69-bus networks. The results reveal that the HS optimization in the network reduces active losses and voltage variations, while improving network customer reliability. The robust optimization results show that in the 33-bus network, the system remains resilient to prediction errors under the worst-case uncertainty scenario, with a 44.53% reduction in production and a 22.18% increase in network demand for a 30% uncertainty budget. Similarly, in the 69-bus network, the system withstands a 36.22% reduction in production and a 16.97% increase in load for a 25% uncertainty budget. When comparing stochastic and robust methods, it was found that the stochastic Monte Carlo method could not consistently provide a reliable solution for all objectives under uncertainty, whereas the robust approach successfully managed the maximum uncertainty related to renewable generation and network demand across different uncertainty budgets.
Computational screening of phytochemicals present in some Nigerian medicinal plants against sickle cell disease
Authors: Asibor Yemisi Elizabeth , Oyebamiji Abel Kolawole , Latona Dayo Felix , Semire Banjo 
Published: November 2024

AbstractFour hundred Phytochemical (bio-active) compounds having predictive activity for treating Sickle Cell Anemia were screened, using PASS online computational resource. Twenty-six compounds out of the four hundred compounds which showed high probability for treating sickle were further screened for pharmacokinetics profiles (ADMET properties) using SwissAdmet, AdmetSAR 2 and Pro-tox II online resources. Only thirteen compounds that displayed good ADMET properties from the twenty-six were further used for DFT calculations and molecular docking against carbonmonoxy sickle hemoglobin (PDB ID: 5E6E). Molecular docking analysis reinforced by DFT calculations showed that two compounds, phenanthrene-5,6-dione (A9) and 2-(3,4-dihydroxyphenyl)-5,7-dihydroxychromen-4-one (A13, Luteolin) had the best binding affinity of − 8.3 and − 8.9 kcal/mol, respectively, compared to voxelotor (GBT-440), a drug use in treating sickle cell disease. Molecular dynamic simulations showed that 2-(3,4-dihydroxyphenyl)-5,7-dihydroxychromen-4-one (A13, Luteolin) is highly stable with the protein than voxelotor.
Ensemble based high performance deep learning models for fake news detection
Authors: E.Almandouh Mohammed , Alrahmawy Mohammed F. , Eisa Mohamed , Elhoseny Mohamed , Tolba A. S. 
Published: November 2024

AbstractSocial media has emerged as a dominant platform where individuals freely share opinions and communicate globally. Its role in disseminating news worldwide is significant due to its easy accessibility. However, the increase in the use of these platforms presents severe risks for potentially misleading people. Our research aims to investigate different techniques within machine learning, deep learning, and ensemble learning frameworks in Arabic fake news detection. We integrated FastText word embeddings with various machine learning and deep learning methods. We then leveraged advanced transformer-based models, including BERT, XLNet, and RoBERTa, optimizing their performance through careful hyperparameter tuning. The research methodology involves utilizing two Arabic news article datasets, AFND and ARABICFAKETWEETS datasets, categorized into fake and real subsets and applying comprehensive preprocessing techniques to the text data. Four hybrid deep learning models are presented: CNN-LSTM, RNN-CNN, RNN-LSTM, and Bi-GRU-Bi-LSTM. The Bi-GRU-Bi-LSTM model demonstrated superior performance regarding the F1 score, accuracy, and loss metrics. The precision, recall, F1 score, and accuracy of the hybrid Bi-GRU-Bi-LSTM model on the AFND Dataset are 0.97, 0.97, 0.98, and 0.98, and on the ARABICFAKETWEETS dataset are 0.98, 0.98, 0.99, and 0.99 respectively. The study’s primary conclusion is that when spotting fake news in Arabic, the Bi-GRU-Bi-LSTM model outperforms other models by a significant margin. It significantly aids the global fight against false information by setting the stage for future research to expand fake news detection to multiple languages.