bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benthic diatoms modify riverine silicon export to a marine zone in a hypertidal estuarine environment
Authors: Wallington Holly , Hendry Katharine , Perkins Rupert , Yallop Marian , Arndt Sandra 
Published: December 2022

AbstractRiverine dissolved silicon (DSi) and biogenic silica (BSi) are modulated along the estuarine gradient by several biotic and abiotic processes governed by physical forcings. An important area controlling silicon transport in alluvial estuaries with large intertidal mudflats is the benthic diatom-dominated biofilm system. Here, the hypertidal Severn Estuary, UK, has been used as a case study to improve our understanding of silicon transport in these benthic-dominated systems. We present the first time-series dataset of Si concentrations in the Severn. River and tidal hydrodynamics drove spatio-temporal changes in DSi. The longitudinal profile of DSi followed the classical view of dilution with downstream transport. Despite low riverine supply of BSi and low siliceous-phytoplankton production, relatively high BSi concentrations were measured in the Severn Estuary (maximum of 14.9 mg/L), which accounted for over 70% of the total bioavailable silicon present and were characterised by isotopically heavy waters (δ30Si of + 0.9 to + 1.1‰). Benthic biofilms (microphytobenthos) on the intertidal mudflats contained significant biomass (measured as chlorophyll a concentration with a maximum of 116.8 ± 16.2 µg/g dw. sed) with high productivity, driven by their photoprotective adaptions to these harsh intertidal environments, contributing to isotopically heavy mudflat water (δ30Si of + 1.19 to + 2.03‰), and resulting in high benthic BSi content in the spring (0.74 ± 0.03%) and summer (0.76 ± 0.05%). The fast-flowing tidal currents resulted in high bottom shear stress which likely exceeded the erosion thresholds of the biofilms, transporting the sediment-BSi matrix into the water column. Suspended particulate matter (SPM) and BSi remained tightly coupled in the estuarine water column (bioflocculation), and experienced the series of erosion–deposition events, burial/dissolution and export out of the estuary. Our novel observations improve understanding of the complex processes governing Si transport in hypertidal, benthic-dominated estuaries, and highlights the importance of tightly coupled benthic-pelagic systems in influencing the terrestrial silicon export to a marine zone.
AKT-driven epithelial-mesenchymal transition is affected by copper bioavailability in HER2 negative breast cancer cells via a LOXL2-independent mechanism
Authors: Vitaliti Alessandra , Roccatani Ilenia , Iorio Egidio , Perta Nunzio , Gismondi Angelo , Chirico Mattea , Pisanu Maria Elena , Di Marino Daniele , Canini Antonella , De Luca Anastasia , Rossi Luisa 
Published: December 2022

Abstract
Background
The main mechanism underlying cancer dissemination is the epithelial to mesenchymal transition (EMT). This process is orchestrated by cytokines like TGFβ, involving “non-canonical” AKT- or STAT3-driven pathways. Recently, the alteration of copper homeostasis seems involved in the onset and progression of cancer.

Methods
We expose different breast cancer cell lines, including two triple negative (TNBC) ones, an HER2 enriched and one cell line representative of the Luminal A molecular subtype, to short- or long-term copper-chelation by triethylenetetramine (TRIEN). We analyse changes in the expression of EMT markers (E-cadherin, fibronectin, vimentin and αSMA), in the levels and activity of extracellular matrix components (LOXL2, fibronectin and MMP2/9) and of copper homeostasis markers by Western blot analyses, immunofluorescence, enzyme activity assays and RT-qPCR. Boyden Chamber and wound healing assays revealed the impact of copper chelation on cell migration. Additionally, we explored whether perturbation of copper homeostasis affects EMT prompted by TGFβ. Metabolomic and lipidomic analyses were applied to search the effects of copper chelation on the metabolism of breast cancer cells. Finally, bioinformatics analysis of data on breast cancer patients obtained from different databases was employed to correlate changes in kinases and copper markers with patients’ survival.

Results
Remarkably, only HER2 negative breast cancer cells differently responded to short- or long-term exposure to TRIEN, initially becoming more aggressive but, upon prolonged exposure, retrieving epithelial features, reducing their invasiveness. This phenomenon may be related to the different impact of the short and prolonged activation of the AKT kinase and to the repression of STAT3 signalling. Bioinformatics analyses confirmed the positive correlation of breast cancer patients’ survival with AKT activation and up-regulation of CCS. Eventually, metabolomics studies demonstrate a prevalence of glycolysis over mitochondrial energetic metabolism and of lipidome changes in TNBC cells upon TRIEN treatment.

Conclusions
We provide evidence of a pivotal role of copper in AKT-driven EMT activation, acting independently of HER2 in TNBC cells and via a profound change in their metabolism. Our results support the use of copper-chelators as an adjuvant therapeutic strategy for TNBC.
The bio-interactions between plants, insecticides and fertilizers: an innovative approach for the research of xenobiotic substances
Authors: Darriet Frédéric 
Published: December 2022

AbstractIn this experiment carried out on Caribbean chili pepper plants (Capsicum chinensis), the bio-insecticide azadirachtin in combination with an NPK fertilizer proved to have a greater lethal impact on the larvae of Aedes albopictus than each substance on its own. This synergistic effect is noticeably important when both inputs are sprayed directly on the leaves of the plant (foliar application). While the plants treated with azadirachtin or NPK alone cause a 33.6% and 36.4% mortality respectively of the Ae. albopictus larvae, the combination of the two inputs induces a 74.4% mortality on the mosquito larvae. To account for this synergistic effect phenomenon inside the plant, the azadirachtin + NPK combination most likely interacts with the capsaicinoid compounds naturally produced by the plant. Not only does this study carried out on azadirachtin reveal major results but the methodology itself offers a most interesting approach on how to boost the agricultural inputs within the plants. As a matter of fact, this research axis demands developing since the control of pests harmful to men has been dramatically lacking insecticide molecules acting on new targets over the past three decades.
Graphical Abstract
Mood modulates attention in film viewing: an eye tracking study
Authors: DING Ni , CHEN YuDi 
Published: December 2022

AbstractDynamic visual media has increasingly become an integral part of our everyday lives. Film is the best carrier to explore dynamic media. How to attract audiences’ attention and improve their experience has always been a core concern. Whether emotional state influence visual attention is still an issue to be discussed. In the present study, we combined two methods, eye tracking methodology and a standardized questionnaire, to explore how audiences’ emotional state influences visual attention during film viewing. The results showed that the audiences have fixation synchrony most of the time during film viewing and pre-negative affect and pre-positive affect significantly influenced visual attention during film viewing. Our research provides a broader perspective for understanding film cognition and film experience.
Waste-Derived Catalysts for Water Electrolysis: Circular Economy-Driven Sustainable Green Hydrogen Energy
Authors: Chen Zhijie , Yun Sining , Wu Lan , Zhang Jiaqi , Shi Xingdong , Wei Wei , Liu Yiwen , Zheng Renji , Han Ning , Ni Bing-Jie 
Published: December 2022

AbstractThe sustainable production of green hydrogen via water electrolysis necessitates cost-effective electrocatalysts. By following the circular economy principle, the utilization of waste-derived catalysts significantly promotes the sustainable development of green hydrogen energy. Currently, diverse waste-derived catalysts have exhibited excellent catalytic performance toward hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and overall water electrolysis (OWE). Herein, we systematically examine recent achievements in waste-derived electrocatalysts for water electrolysis. The general principles of water electrolysis and design principles of efficient electrocatalysts are discussed, followed by the illustration of current strategies for transforming wastes into electrocatalysts. Then, applications of waste-derived catalysts (i.e., carbon-based catalysts, transitional metal-based catalysts, and carbon-based heterostructure catalysts) in HER, OER, and OWE are reviewed successively. An emphasis is put on correlating the catalysts’ structure–performance relationship. Also, challenges and research directions in this booming field are finally highlighted. This review would provide useful insights into the design, synthesis, and applications of waste-derived electrocatalysts, and thus accelerate the development of the circular economy-driven green hydrogen energy scheme.
Drivers of Human‒wildlife interactions in a co-existence area: a case study of the Ngorongoro conservation area, Tanzania
Authors: Linuma Oswin F. , Mahenge Anesi S. , Mato Rubhera R. A. M. , Greenwood Alex D. 
Published: December 2022

AbstractCommunities in Africa bordering national parks or protected areas commonly overlap with wildlife. However, it is unclear to what degree such overlaps result in interactions with wildlife. The Ngorongoro Conservation Area (NCA) was designated a multiple land-use conservation area in 1959. Maasai and Datoga pastoralists and Hadzabe hunter-gatherers reside with protected wildlife in NCA. The study was carried out in four Maasai villages within the NCA, including Kayapus, Endulen, Meshili, and Nainokanoka. A cross-sectional study was used to assess drivers of human‒wildlife interactions using questionnaire surveys, focus group discussions, and field visits. A total of 396 households participated in the survey. The collected data were analysed using qualitative data analysis techniques and descriptive statistics such as frequencies and means. The habitat, which comprises water, pasture, shelter, and space, accounted for 100% of interactions, indicating that it is the primary driver of human‒wildlife conflict. Other driving factors for human‒wildlife interactions are the increase in wildlife, collections of firewood, domestic animals kept, and influence of community sleeping arrangements, searching for traditional medicines, and killing of lions for ritual purposes or defense. Large household sizes (36 family members) coupled with climate change have also driven and fuelled human‒wildlife interactions. Challenges identified as threatening human‒wildlife co-existence are injuries, deaths, disease transmission, and destruction of property. To mitigate human‒wildlife conflicts, the following are recommended: the increase in boarding schools coupled with the increase in enrolment of students in boarding schools or providing reliable transport, distribution of tap water, increasing food assistance to the community living in poverty, controlling population increase through reallocation the population in other areas, introducing zero-grazing, using biogas, discouraging community sleeping arrangements, i.e., humans with calves in the same house, improving record-keeping of the wildlife attacks, provisional dissemination of research findings to the community.
DGMP: Identifying Cancer Driver Genes by Jointing DGCN and MLP from Multi-Omics Genomic Data
Authors: Zhang Shao-Wu , Xu Jing-Yu , Zhang Tong 
Published: December 2022

Abstract
Identification of cancer driver genes plays an important role in precision oncology research, which is helpful to understand cancer initiation and progression. However, most existing computational methods mainly used the protein–protein interaction (PPI) networks, or treated the directed gene regulatory networks (GRNs) as the undirected gene–gene association networks to identify the cancer driver genes, which will lose the unique structure regulatory information in the directed GRNs, and then affect the outcome of the cancer driver gene identification. Here, based on the multi-omics pan-cancer data (i.e., gene expression, mutation, copy number variation, and DNA methylation), we propose a novel method (called DGMP) to identify cancer driver genes by jointing directed graph convolutional network (DGCN) and multilayer perceptron (MLP). DGMP learns the multi-omics features of genes as well as the topological structure features in GRN with the DGCN model and uses MLP to weigh more on gene features for mitigating the bias toward the graph topological features in the DGCN learning process. The results on three GRNs show that DGMP outperforms other existing state-of-the-art methods. The ablation experimental results on the DawnNet network indicate that introducing MLP into DGCN can offset the performance degradation of DGCN, and jointing MLP and DGCN can effectively improve the performance of identifying cancer driver genes. DGMP can identify not only the highly mutated cancer driver genes but also the driver genes harboring other kinds of alterations (e.g., differential expression and aberrant DNA methylation) or genes involved in GRNs with other cancer genes. The source code of DGMP can be freely downloaded from https://github.com/NWPU-903PR/DGMP.
Assemblage drawings as talking points: Deleuze, posthumans and climate-activist teachers
Authors: Everth Thomas , Gurney Laura , Eames Chris 
Published: December 2022

AbstractIn this paper, we employ Deleuzian philosophy to explore the complex challenges confronting teachers and education systems posed by the climate emergency and the implications of the resulting posthumanist turn. Self-identified climate-activist teachers working in schools in Aotearoa New Zealand were asked to draw Deleuzian assemblages of their educational realities and of themselves while contemplating the climate emergency. Their thought-provoking drawings were used as semiotic artefacts during unstructured Zoom interviews, leading to rich conversations. Through this process, the drawings channel affect within the research assemblage, entangling the reader actively into the research process. Insights gained from the participants problematise the perspectives of teachers in response to the climate emergency and lead us to conceptualise the potential of teachers as Deleuze’s nomadic change makers toward posthuman futures.
Estimation of safe flight envelope considering manoeuver overload based on cost-limited reachable set
Authors: Zhou F. , Nie H. 
Published: December 2022

AbstractDepending on magnitude and duration, any manoeuvering overload can damage the structure of an aircraft and adversely affect the pilot’s concentration and reaction time. These are all threats to flight safety. The flight safety envelope estimation method based on the classical reachable set cannot take into account the effect of manoeuvering overload. To overcome this limitation, a generalized reachable set known as a cost-limited reachable set is introduced into the computation of flight safety envelopes in this paper. It differs from the classical reachable set in that the performance index of the system can be set as the time integral of a running cost, and it can discuss the ability to reach the trim set before the performance index grows to the admissible cost. When computing the flight safety envelope, the running cost is set as a weighted sum of time consumption and manoeuver overload factor, and the flight safety envelope is defined as a cost-limited reachable set of the trim set. The flight safety envelopes and optimal control laws under the different weight of manoeuver overload factors are analyzed.
Set superpartitions and superspace duality modules
Authors: Rhoades Brendon , Wilson Andrew Timothy 
Published: December 2022

Abstract
The superspace ring

$\Omega _n$

is a rank n polynomial ring tensored with a rank n exterior algebra. Using an extension of the Vandermonde determinant to

$\Omega _n$

, the authors previously defined a family of doubly graded quotients

${\mathbb {W}}_{n,k}$

of

$\Omega _n$

, which carry an action of the symmetric group

${\mathfrak {S}}_n$

and satisfy a bigraded version of Poincaré Duality. In this paper, we examine the duality modules

${\mathbb {W}}_{n,k}$

in greater detail. We describe a monomial basis of

${\mathbb {W}}_{n,k}$

and give combinatorial formulas for its bigraded Hilbert and Frobenius series. These formulas involve new combinatorial objects called ordered set superpartitions. These are ordered set partitions

$(B_1 \mid \cdots \mid B_k)$

of

$\{1,\dots ,n\}$

in which the nonminimal elements of any block

$B_i$

may be barred or unbarred.
Bloodstream infection and ventilator-associated pneumonia in patients with coronavirus disease 2019 (COVID-19) supported by extracorporeal membrane oxygenation
Authors: Tan Charlie , Hota Susy S. , Fan Eddy , Marquis Krista , Vicencio Elisa , Vaisman Alon 
Published: December 2022

AbstractObjective:Extracorporeal membrane oxygenation (ECMO) has been widely used in the care of patients with respiratory failure from coronavirus disease 2019 (COVID-19). We characterized bloodstream infections (BSIs) and ventilator-associated pneumonias (VAPs) in COVID-19 patients supported with ECMO, and we investigated their impact on patient outcomes.Design:Retrospective cohort study from March 1, 2020, to June 30, 2021.Setting:Academic tertiary-care referral center.Patients:Consecutive adult patients admitted for COVID-19 who received ECMO.Methods:We identified BSIs and VAPs and described their epidemiology and microbiology. Cumulative antimicrobial use and the specific management of BSIs were determined. Multivariate time-dependent Cox proportional hazards models were constructed to evaluate the impact of BSIs and VAPs on mortality, controlling for age, receipt of COVID-19–specific therapeutics, and new renal replacement therapy.Results:We identified 136 patients who received ECMO for COVID-19 pneumonia during the study period. BSIs and VAPs occurred in 81 patients (59.6%) and 93 patients (68.4%), respectively. The incidence of BSIs was 29.5 per 1,000 ECMO days and increased with duration of ECMO cannulation. Enterococci, Enterobacterales, and Staphylococcus aureus were the most common causes of BSIs, whereas S. aureus, Klebsiella species, and Pseudomonas aeruginosa comprised the majority of VAPs. Mean antibiotic use comprised 1,031 days of therapy per 1,000 ECMO days (SD, 496). We did not detect an association between BSIs or VAPs and mortality.Conclusions:BSIs and VAPs are common in COVID-19 ECMO-supported patients. Efforts to optimize their diagnosis, prevention, and management should be prioritized.
A strategy for exploring subgroup-specific effects in nutrition science
Authors: Lambert Joshua , Xavier Teenu , Berger Kimberly , Peairs Abigail 
Published: December 2022

Abstract
Nutrients are an essential part of building and maintaining optimal health. Certain nutrient exposure has been shown to be associated with many important health outcomes, although there is variability among studies. Despite the scientific efforts of many, it is unclear why some well-hypothesised nutrients lack sufficient evidence for clear association with health outcomes. One potential reason for conflicting results is that certain subgroups of patients benefit or are harmed more by adequate or inadequate exposure to certain nutrients. These subgroup-specific effects have historically not been studied, or if they are, it is often in a one-off type of approach where the investigator believes that a subgroup effect could exist based on limited previous data. In the era of big data, improvements can be made in efforts to generate new hypotheses for subgroups of patients and recommendations for precision nutrition can be made. In the present paper, we present a strategy for exploring subgroup-specific effects in nutrient-related studies. This data-driven method can be useful in secondarily exploring which subgroups are harmed/helped most by inadequate/adequate nutrient exposure and could suggest target groups for future clinical trials to test the identified hypotheses. We then present an example study utilizing the National Health and Nutrition Examination Survey (NHANES) data from the years 2001–2006. In this example, a limited selection of nutrients is protective in subgroups of participants with diabetes on their self-reported number of poor mental health days.
Does a universal basic income affect voter turnout? Evidence from Alaska
Authors: Loeffler Hannah 
Published: December 2022

AbstractDoes a universal basic income (UBI) affect voter turnout? This article argues that the introduction of an unconditional cash payment—where citizens receive money independent of employment status, age, or indigence—can have a turnout-enhancing effect. I evaluate the argument using the introduction of the Permanent Fund Dividend in Alaska. Differences-in-differences estimates covering November general elections from 1978 to 2000 provide compelling evidence that the Alaskan UBI has a significant positive effect on turnout. The results further suggest that the turnout increase was not a one-off effect but persists over a period of almost 20 years. Thus, a UBI has the potential to positively affect turnout among an entire electorate, adding to the discussion around potential welfare reforms in western democracies.
Rationale and design of IMPACT-women: a randomised controlled trial of the effect of time-restricted eating, healthy eating and reduced sedentary behaviour on metabolic health during chemotherapy for early-stage breast cancer
Authors: Christensen Rebecca A. G. , Haykowsky Mark J. , Nadler Michelle , Prado Carla M. , Small Stephanie D. , Rickard Julia N. , Pituskin Edith , Paterson D. Ian , Mackey John R. , Thompson Richard B. , Kirkham Amy Ashley 
Published: December 2022

AbstractMetabolic dysfunction and excess accumulation of adipose tissue are detrimental side effects from breast cancer treatment. Diet and physical activity are important treatments for metabolic abnormalities, yet patient compliance can be challenging during chemotherapy treatment. Time-restricted eating (TRE) is a feasible dietary pattern where eating is restricted to 8 h/d with water-only fasting for the remaining 16 h. The purpose of this study is to evaluate the effect of a multimodal intervention consisting of TRE, healthy eating, and reduced sedentary time during chemotherapy treatment for early-stage (I–III) breast cancer on accumulation of visceral fat (primary outcome), other fat deposition locations, metabolic syndrome and cardiovascular disease risk (secondary outcomes) compared with usual care. The study will be a two-site, two-arm, parallel-group superiority randomised control trial enrolling 130 women scheduled for chemotherapy for early-stage breast cancer. The intervention will be delivered by telephone, including 30–60-minute calls with a registered dietitian who will provide instructions on TRE, education and counselling on healthy eating, and goal setting for reducing sedentary time. The comparison group will receive usual cancer and supportive care including a single group-based nutrition class and healthy eating and physical activity guidelines. MRI, blood draws and assessment of blood pressure will be performed at baseline, after chemotherapy (primary end point), and 2-year follow-up. If our intervention is successful in attenuating the effect of chemotherapy on visceral fat accumulation and cardiometabolic dysfunction, it has the potential to reduce risk of cardiometabolic disease and related mortality among breast cancer survivors.