bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Wax Gourd (Benincasa hispida (Thunb.) Cogn.)‐Assisted Green Synthesis Method of Metal Oxides (TiO2, MgO)
Authors: Yan Shuting , Zhao Weiwei , Wang Yujie , Ma Rong , Zhao Weixing , Huang Zhuonan , Li Huiqin , Dou Shumei 
Published: November 2024

AbstractIn the reaction environment of wax gourd extract, titanium dioxide (TiO2) and magnesium oxide (MgO) were synthesized by microemulsion method. Under atmospheric pressure, the optimum conditions for preparing TiO2 and MgO nanoparticles were investigated at different reaction temperatures and time. The obtained optimal reaction conditions are as follows: when the amount of TiCl3 solution was 70 µL, the mass ratio of wax gourd extract to water was 1:2, the reaction time was 60 min, and the reaction temperature was 35 °C, rod‐like TiO2 particles with the best dispersion and crystallinity were obtained. When the amount of MgCl2 solution was 10 mL, the amount of wax gourd extract was 40 mL, the reaction time was 120 min, and the reaction temperature was 70 °C, the prepared MgO particles exhibited a spindle shape with the best dispersion and crystallinity. Wax gourd‐assisted synthesis of TiO2 and MgO provides not only a new synthesis idea for the preparation of metal oxides, but also a green environmental protection system, which conforms to the concept of sustainable development.
Phytic Acid Functionalized Hierarchical Porous Metal‐Organic Framework Microspheres for Efficient Extraction of Uranium from Seawater
Authors: Tuo Kai , Li Jin , Li Yi , Liang Chuyao , Shao Cuicui , Hou Weifeng , Fan Congbin , Li Zhijian , Pu Shouzhi , Chen Zhao , Deng Yonghui 
Published: November 2024

AbstractUranium is a critical resource in the development of nuclear energy, and its extraction from natural seawater has been identified as a potential solution to address uranium resource shortages. In this study, hierarchical meso‐/micro‐ porous metal‐organic framework functionalized with phytic acid (PA) microspheres (denoted H‐UiO‐66‐PA) are rationally synthesized for efficient uranium extraction. This unique design allowed for a large adsorption capacity and fast adsorption kinetics, making it a promising material for uranium extraction. Due to the hierarchically porous structure, H‐UiO‐66‐NH2 materials not only provide more sites for grafting PA, and thus enhance the adsorption capacity, but also facilitate the rapid diffusion of uranyl ions which can quickly and effectively access the interior of the H‐UiO‐66‐PA adsorbent. Therefore, the obtained H‐UiO‐66‐PA can achieve an impressive absorption efficiency of 6.76 mg g−1 in actual seawater within 15 days. Meanwhile, the H‐UiO‐66‐PA possesses a good adsorption capacity for uranyl ions in the five adsorption/desorption cycles. This work proposes a feasible strategy for constructing functional hierarchical porous MOFs for uranium removal.
New Directions in Digitalisation: An Introduction
Authors: Engel Annegret , Groussot Xavier 
Published: November 2024

AbstractThis chapter provides a brief overview of the aims of this book, how it is structured and the various chapters to be found therein. It summarises the main arguments made by the contributing experts, who come from both EU competition law as well fundamental rights backgrounds. It further provides an analysis of the new directions in digitalisation and their implications for future research.
Results of a Randomized Wait-List Controlled Trial of CAYA: A Nurse Case Management HIV Prevention Intervention for Youth Experiencing Homelessness
Authors: Maria Diane Santa , Nyamathi Adeline , Lightfoot Marguerita , Paul Mary , Quadri Yasmeen , Padhye Nikhil , Businelle Michael , Fernandez-Sanchez Higinio , Jones Jennifer Torres 
Published: November 2024

Abstract
Youth experiencing homelessness (YEH) face challenges that increase their susceptibility to HIV/STIs. Nurse case management is effective in managing the complex needs of populations experiencing homelessness and reducing HIV risk. A randomized wait-list control study conducted between September 2019 to May 2023 evaluated the CAYA “Come As You Are” intervention. This nurse-led HIV prevention for YEH aged 16–25 years focused on the uptake of HIV prevention methods: pre- and post-HIV exposure prophylaxis (PrEP, nPEP), HIV/STI testing and treatment, sober sex, and condom use. Secondarily, we examined intervention impact on housing stability. Descriptive statistics were calculated by study arm. Multiple imputation (m = 10) was used for missing values and intervention effects were estimated from Bayesian multilevel models with noninformative priors. Participants (N = 450) were 21.1 years old on average, 62% Black, 11% Hispanic, 11% White, and 10% other race and reported being homeless for an average of 3 years. An intervention effect was found for PrEP use, which showed a larger increase from baseline to first follow-up (OR = 3.27; 95% Cr.I.: 1.13 to 10.14). No intervention impact was found for nPEP use, HIV and STI cases, sober sex, or condom use. Sheltering arrangements improved from baseline to the first follow-up in both groups with increase in shelter stability (OR = 3.85; 95% Cr.I.: 1.61 to 10.30) and decreased shelter transiency (OR = 0.29; 95% Cr.I.: 0.14 to 0.60). This study demonstrates that a personalized, nurse-led HIV prevention approach increased uptake of some but not all HIV prevention strategies among YEH.

Clinical Trial Registration number
NCT03910218.
Parasitism by Aleiodes ceres Shimbori, 2023 (Hymenoptera: Braconidae) of three species of Spodoptera Guenée, 1852: effects of preferential instar and host diet
Authors: dos Santos Jailma Rodrigues , Takahashi Tamara Akemi , Palma Gabriel Rodrigues , de Andrade Moral Rafael , Parra José Roberto Postali 
Published: November 2024

Abstract
A recently discovered koinobiont parasitoid species, Aleiodes ceres Shimbori, 2023, proved to be a promising biological control agent for larvae of Spodoptera cosmioides (Walker, 1858), S. eridania (Stoll, 1782), and S. frugiperda (J.E. Smith, 1797), all well-known pests that cause critical damage to soybean and corn crops. This study investigated the potential of parasitism by A. ceres in these three species, including different instars (1st, 2nd, 3rd, and 4th instar) and diets (artificial and natural). Parasitism was highest when it occurs in the second instar for all three host species. The egg-to-pupa period of A. ceres was shorter in the second and third instars in relation to the first instar. Parasitism was substantially enhanced by the use of natural diets (soybean and corn leaves) compared with the artificial diet in all three species of the Spodoptera complex, suggesting a possible allelochemical interaction. Based on the results from the three host species, the potential for control of Spodoptera spp. by A. ceres was evident.
Researcher identities and values in the impact agenda: the case of artificial intelligence academics
Authors: Cohen Eliel , Williams Kate , Grant Jonathan 
Published: November 2024

AbstractA major shift in the research sector has been the increased expectation from policymakers and funders that academic research should yield some socioeconomic benefits or ‘impacts’ rather than merely new knowledge. In this paper, we explore the role that impact has in academics’ motivations and values and how impact is being integrated into academics’ core functions of research and education. We do this through in-depth interviews (n = 60) with scientists who work on the development or application of artificial intelligence (AI), broadly defined. This AI’s focus situates our participants within a strategically important, high-priority area of research for all three national contexts included in our study—Australia, the UK and the USA. Our findings reveal that the impact mission has become central to understanding the motivations and values of academics, but unevenly. We identify divergence between those who work on AI from a foundational computer science perspective and those who develop and apply AI within other scientific domains. The two groups have different understandings of key notions such as ‘impact’ and ‘applied research’, as well as different ways of integrating the impact agenda into their research and education activities. The study highlights the importance of flexible approaches to research policy and governance that are based on a deeper understanding of what motivates researchers, and that take into account academics’ educational role. Greater holistic understanding of how academic identities and practices are accommodating the impact agenda is essential to maximise synergy across activities and avoid unintended consequences.
Articulating Lynching in India
Authors: Vasudeva-Barkdull Feeza 
Published: November 2024

AbstractLynching became a popular part of the lexicon in India during the last decade, and the word is used to communicate incidents where a group of people takes justice into their own hands. Considering the violent nature of lynching, it became a topic of intense debate. Yet, there is a lack of definitional clarity, and the ambit of lynching has been stretched to signify various forms of violence. Even the modest number of scholarly research projects takes the term “lynching” for granted. Considering the ambiguity surrounding it, this study analyzes and articulates the phenomena of lynchings in India, particularly during the period 2000–2021 while undertaking a genealogical study to illustrate the history, and the meaning of the word and how it has evolved over the years alongside the associated phenomena. To do so is to take away the misleading objectivity the word can sometimes generate. Following the conceptualization of lynchings and its changing expression in different societies, particularly the United States of America, the article highlights in what ways the definition and content of lynching have become more symbolically charged and the reasons for the change as well as what made lynching an extraordinary form of violence.
Myokine BDNF highly expressed in Type I fibers inhibits the differentiation of myotubes into Type II fibers
Authors: Hu Teng , Furuichi Yasuro , Manabe Yasuko , Yamada Kenichiro , Katakura Kengo , Aoki Yuna , Tang Kun , Sakai Takaomi , Fujii Nobuharu L. 
Published: November 2024

Abstract

Background
Myofibers are broadly classified as slow-twitch (Type I) and fast-twitch (Type II) fibers. These two types of myofibers coexist within the same skeletal muscle tissue, determining the contractile and metabolic properties of skeletal muscle tissue by fiber type distribution.

Methods and results
By examining each fiber type separately, we confirmed that brain-derived neurotrophic factor (BDNF) gene is highly expressed in Type I fibers. When exposed to BDNF, primary myotubes exhibited reduced expression of Myosin Heavy Chain (MyHC) II, a marker protein characteristic of Type II fibers. BDNF overexpression in regenerating muscle tissue led to a decrease in the distribution of Type IIA fibers.

Conclusions
We suggest that BDNF highly expressed in Type I fibers downregulates MyHC II expression in myotubes, eventually inhibiting Type IIA fiber generation.
Navigating the First Years: Newly Qualified Teachers’ Experiences with Professional Learning Communities
Authors: Mabunda Pinkie Louisa , McKay Veronica Irene 
Published: November 2024

AbstractDrawing on a mixed-methods evaluation of the New Teacher Induction Programme of the South African Department of Basic Education, this paper examines the role of Professional Learning Communities in enabling the transition of newly qualified teachers (NQTs) into their professional roles in schools. The article focuses on one of the four components of the induction programme, namely, the participation of NQTs in Professional Learning Communities (PLCs) and examines the experiences of newly qualified teachers as members of their respective professional learning communities. It begins by examining the range of typical early career challenges and, thereafter, shows how the social capital fostered through their collaboration in communities enables to overcome a range of challenges they face. As the results of the study show, PLCs provide safe spaces where new teachers experiment, share experiences and engage in collective reflection and problem-solving. The new teachers reported a range of professional and personal benefits, including their professional growth, expanded peer networks, and a stronger sense of belonging. Moreover, their responses show how their participation in PLCs contributes to developing their self- and collective efficacy, increasing their resilience, and enabling their transition into the teaching profession. As a participatory action research study, the paper shows the dual benefits of the PLCs – both in supporting the personal and professional development of novice teachers and in informing the development of broader educational policy. The results of the study led to the expansion of the New Teacher Induction Programme and the national adoption of PLCs – illustrating how teacher experiences can inform policy in bringing about meaningful change.
We are not the problem, cars are: effect of different human activities in an urban area on opossums health and population size
Authors: Glebskiy Yury , Parra-Campos Daniela Aimee , Cano-Santana Zenon 
Published: November 2024

Abstract
Understanding the health of urban animals is key for preventing and controlling zoonotic diseases. To achieve this goal, it’s necessary to understand what factors could have an impact on those animals’ health. Therefore, the aim of this article is to compare some health characteristics of opossums (Didelphis virginiana) in urban environments with and without human presence. For this, we trapped opossums in two urbanized areas: one dominated by buildings and one by roads and parking lots (plus two control locations in natural areas). During two periods: normal activities and under lockdown due to COVID-19 conditions (when the presence of people was minimal). We found that in the building area, human presence has almost no effect on the opossums’ health (with only minor changes in erythrocyte counts and tar coverage); however, in the parking lot, the opossum population dropped drastically because of human activities (use of vehicles). This suggests that human presence is not harmful for those animals, but cars are. Therefore, the use of vehicles has a negative impact on opossums’ health and could increase the spreading of zoonotic diseases.
Plasma proteomics-based brain aging signature and incident dementia risk
Authors: Kou Minghao , Ma Hao , Wang Xuan , Heianza Yoriko , Qi Lu 
Published: November 2024

AbstractInvestigating brain-enriched proteins with machine learning methods may enable a brain-specific understanding of brain aging and provide insights into the molecular mechanisms and pathological pathways of dementia. The study aims to analyze associations of brain-specific plasma proteomic aging signature with risks of incident dementia. In 45,429 dementia-free UK Biobank participants at baseline, we generated a brain-specific biological age using 63 brain-enriched plasma proteins with machine learning methods. The brain age gap was estimated, and Cox proportional hazards models were used to study the association with incident all-cause dementia, Alzheimer’s disease (AD), and vascular dementia. Per-unit increment in the brain age gap z-score was associated with significantly higher risks of all-cause dementia (hazard ratio [95% confidence interval], 1.67 [1.56–1.79], P < 0.001), AD (1.85 [1.66–2.08], P < 0.001), and vascular dementia (1.86 [1.55–2.24], P < 0.001), respectively. Notably, 2.1% of the study population exhibited extreme old brain aging defined as brain age gap z-score > 2, correlating with over threefold increased risks of all-cause dementia and vascular dementia (3.42 [2.25–5.20], P < 0.001, and 3.41 [1.05–11.13], P = 0.042, respectively), and fourfold increased risk of AD (4.45 [2.32–8.54], P < 0.001). The associations were stronger among participants with healthier lifestyle factors (all P-interaction < 0.05). These findings were corroborated by magnetic resonance imaging assessments showing that a higher brain age gap aligns global pathophysiology of dementia, including global and regional atrophy in gray matter, and white matter lesions (P < 0.001). The brain-specific proteomic age gap is a powerful biomarker of brain aging, indicative of dementia risk and neurodegeneration.
Functional and vascular neuroimaging in maritime pilots with long-term sleep disruption
Authors: Mentink Lara J. , van Osch Matthias J. P. , Bakker Leanne J. , Olde Rikkert Marcel G. M. , Beckmann Christian F. , Claassen Jurgen A. H. R. , Haak Koen V. 
Published: November 2024

AbstractThe mechanism underlying the possible causal association between long-term sleep disruption and Alzheimer’s disease remains unclear Musiek et al. 2015. A hypothesised pathway through increased brain amyloid load was not confirmed in previous work in our cohort of maritime pilots with long-term work-related sleep disruption Thomas et al. Alzheimer’s Res Ther 2020;12:101. Here, using functional MRI, T2-FLAIR, and arterial spin labeling MRI scans, we explored alternative neuroimaging biomarkers related to both sleep disruption and AD: resting-state network co-activation and between-network connectivity of the default mode network (DMN), salience network (SAL) and frontoparietal network (FPN), vascular damage and cerebral blood flow (CBF). We acquired data of 16 maritime pilots (56 ± 2.3 years old) with work-related long-term sleep disruption (23 ± 4.8 working years) and 16 healthy controls (59 ± 3.3 years old), with normal sleep patterns (Pittsburgh Sleep Quality Index ≤ 5). Maritime pilots did not show altered co-activation in either the DMN, FPN, or SAL and no differences in between-network connectivity. We did not detect increased markers of vascular damage in maritime pilots, and additionally, maritime pilots did not show altered CBF-patterns compared to healthy controls. In summary, maritime pilots with long-term sleep disruption did not show neuroimaging markers indicative of preclinical AD compared to healthy controls. These findings do not resemble those of short-term sleep deprivation studies. This could be due to resiliency to sleep disruption or selection bias, as participants have already been exposed to and were able to deal with sleep disruption for multiple years, or to compensatory mechanisms Mentink et al. PLoS ONE. 2021;15(12):e0237622. This suggests the relationship between sleep disruption and AD is not as strong as previously implied in studies on short-term sleep deprivation, which would be beneficial for all shift workers suffering from work-related sleep disruptions.
Unraveling the Nexus: The Role of Collapsin Response Mediator Protein 2 Phosphorylation in Neurodegeneration and Neuroregeneration
Authors: Wang Yuebing , Ohshima Toshio 
Published: November 2024

AbstractNeurodegenerative disease characterized by the progressive damage of the nervous system, and neuropathies caused by the neuronal injury are both led to substantial impairments in neural function and quality of life among geriatric populations. Recovery from nerve damage and neurodegenerative diseases present a significant challenge, as the central nervous system (CNS) has limited capacity for self-repair. Investigating mechanism of neurodegeneration and regeneration is essential for advancing our understanding and development of effective therapies for nerve damage and degenerative conditions, which can significantly enhance patient outcomes. Collapsin response mediator protein 2 (CRMP2) was first identified as a key mediator of axonal growth and guidance is essential for neurogenesis and neuroregeneration. Phosphorylation as a primary modification approach of CRMP2 facilitates its involvement in numerous physiological processes, including axonal guidance, neuroplasticity, and cytoskeleton dynamics. Prior research on CRMP2 phosphorylation has elucidated its involvement in the mechanisms of neurodegenerative diseases and nerve damage. Pharmacological and genetic interventions that alter CRMP2 phosphorylation have shown the potential to influence neurodegenerative diseases and promote nerve regeneration. Even with decades of research delving into the intricacies of CRMP2 phosphorylation, there remains a scarcity of comprehensive literature reviews addressing this topic. This absence of synthesis and integration of findings hampers the field’s progress by preventing a holistic understanding of CRMP2’s implications in neurobiology, thereby impeding potential advancements in clinical treatments and interventions. This review intends to compile investigations focused on the role of CRMP2 phosphorylation in both neurodegenerative disease models and injury models to summarizing impacts and offer novel insight for clinical therapies.
An Improved Transformer Model for Sap Flow Prediction that Efficiently Utilizes Environmental Information
Authors: Yu Chenhao , Yao Yan , Yang Haiqing , Wang Xin 
Published: November 2024

AbstractAs an important reference for assessing plant water consumption and estimating plant transpiration, it is of great significance to achieve accurate prediction of plant sap flow. A number of deep learning models were established and compared using approximately 3 years of continuous eucalyptus flow time series data collected from the SAPFLUXNET open dataset and 6 environmental factors, including shortwave solar incident radiation, air temperature, air relative humidity, net radiation, vapor pressure deficit, and photosynthetic photon flux density. The experimental results show that the improved Transformer model, with the introduction of a two-step self-attention mechanism and simplified design, maintains significant predictive performance advantages compared to the original Transformer model, long short-term memory, gated recurrent unit, and temporal convolutional neural network models. In the shorter 1-h forecast, the mean squared error and coefficient of determination (R2) of the improved Transformer model are 0.0191 and 0.965, respectively. Compared to the suboptimal typical Transformer model, the MSE is reduced by 22.9%, and R2 is increased by 1.0%. Additionally, the improved model maintains stable predictive performance advantages in long-term plant flow prediction. In the longest 8-h advance prediction, the MSE is reduced by 14.9% compared to the suboptimal Transformer model, and R2 increases by 3.0% compared to the Transformer model. The comprehensive experimental results show that the improved Transformer model makes more effective use of environmental information to achieve more accurate and long-term plant flow prediction. This study emphasizes the basic principle and validity of the two-step self-attention network structure and provides a valuable basis for developing more effective methods for predicting plant sap flow.