bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptation of COMPASS for use in Autism-Specific Schools in Australia: A Cluster Randomized Trial
Authors: Love Abigail M. A. , Cai Ru Ying , Stephenson Jennifer , Gallagher Emma , Toland Michael D. , Gibbs Vicki 
Published: June 2024

AbstractAutistic students are educated in Australia across a variety of contexts and almost all educators use individualized goal-setting as a way of ensuring appropriate accommodations and curriculum modifications. Educators experience similar challenges when developing individualized goals for students, including lack of a standardized process for goal setting, inconsistent support networks, and challenges with data-driven goal-setting. The purpose of our research was to adapt and trial the Collaborative Model for Competence and Success (COMPASS), a research-based intervention aimed at improving the individualized goal-setting process for autistic students. Our primary hypothesis was that autistic students who participate in COMPASS would demonstrate more growth on their individualized outcomes relative to autistic students who receive services as usual (SAU). To answer our primary research question, we applied a single-blind cluster randomized trial. Participants were randomized into one of two groups: (a) a COMPASS intervention group and (b) a SAU group. Results indicate that students whose teachers received the intervention made more progress on their final individualized goals than those who received SAU, replicating previous findings regarding COMPASS in the US. Also, the adaptation of COMPASS for an Australian context showed high rates of satisfaction and fidelity. The success of this intervention in improving the progress that students make on their individualized goals demonstrates the benefits of a standardized intervention that supports teachers and families in this critical practice.
Chemical reversion of age-related oocyte dysfunction fails to enhance embryo development in a bovine model of postovulatory aging
Authors: Ferreira Ana Filipa , Machado-Simões Juliana , Moniz Inês , Soares Maria , Carvalho Alexandra , Diniz Patrícia , Ramalho-Santos João , Sousa Ana Paula , Lopes-da-Costa Luís , Almeida-Santos Teresa 
Published: June 2024

Abstract
Purpose
There are no clinical treatments to prevent/revert age-related alterations associated with oocyte competence decline in the context of advanced maternal age. Those alterations have been attributed to oxidative stress and mitochondrial dysfunction. Our study aimed to test the hypothesis that in vitro maturation (IVM) medium supplementation with antioxidants (resveratrol or phloretin) may revert age-related oocyte competence decline.

Methods
Bovine immature oocytes were matured in vitro for 23 h (young) and 30 h (aged). Postovulatory aged oocytes (control group) and embryos obtained after fertilization were examined and compared with oocytes supplemented with either 2 μM of resveratrol or 6 μM phloretin (treatment groups) during IVM.

Results
Aged oocytes had a significantly lower mitochondrial mass and proportion of mitochondrial clustered pattern, lower ooplasmic volume, higher ROS, lower sirtuin-1 protein level, and a lower blastocyst rate in comparison to young oocytes, indicating that postovulatory oocytes have a lower quality and developmental competence, thus validating our experimental model. Supplementation of IVM medium with antioxidants prevented the generation of ROS and restored the active mitochondrial mass and pattern characteristic of younger oocytes. Moreover, sirtuin-1 protein levels were also restored but only following incubation with resveratrol. Despite these findings, the blastocyst rate of treatment groups was not significantly different from the control group, indicating that resveratrol and phloretin could not restore the oocyte competence of postovulatory aged oocytes.

Conclusion
Resveratrol and phloretin can both revert the age-related oxidative stress and mitochondrial dysfunction during postovulatory aging but were insufficient to enhance embryo developmental rates under our experimental conditions.
A novel, cassette-based nitric oxide delivery system with an advanced feedback control algorithm accurately delivers nitric oxide via the anesthesia machine independent of fresh gas flow rate and volatile anesthetic agent
Authors: Twite Mark D. , Roebuck Aaron W. , Anderson Stephanie R. 
Published: June 2024

AbstractNitric oxide (NO), a selective pulmonary vasodilator, can be delivered via conventional ICU and anesthesia machine ventilators. Anesthesia machines are designed for rebreathing of circulating gases, reducing volatile anesthetic agent quantity used. Current cylinder- and ionizing-based NO delivery technologies use breathing circuit flow to determine NO delivery and do not account for recirculated gases; therefore, they cannot accurately dose NO at FGF below patient minute ventilation (MV). A novel, cassette-based NO delivery system (GENOSYL® DS, Vero Biotech Inc.) uses measured NO concentration in the breathing circuit as an input to an advanced feedback control algorithm, providing accurate NO delivery regardless of FGF and recirculation of gases. This study evaluated GENOSYL® DS accuracy with different anesthesia machines, ventilation parameters, FGFs, and volatile anesthetics. GENOSYL® DS was tested with GE Aisys and Dräger Fabius anesthesia machines to determine NO dose accuracy with FGF < patient MV, and with a Getinge Flow-i anesthesia machine to determine NO dose accuracy when delivering various volatile anesthetic agents. Neonatal and adult mechanical ventilation parameters and circuits were used. GENOSYL® DS maintained accurate NO delivery with all three anesthesia machines, at low FGF with recirculation of gases, and with all volatile anesthetic agents at different concentrations. Measured NO2 levels remained acceptable at ≤ 1 ppm with set NO dose ≤ 40 ppm. GENOSYL® DS, with its advanced feedback control algorithm, is the only NO delivery system capable of accurately dosing NO with anesthesia machines with rebreathing ventilation parameters (FGF < MV) regardless of anesthetic agent.
Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model
Authors: Ovanger Oscar , Eidsvik Jo , Skauvold Jacob , Hauge Ragnar , Aarnes Ingrid 
Published: June 2024

AbstractRule-based reservoir models incorporate rules that mimic actual sediment deposition processes for accurate representation of geological patterns of sediment accumulation. Bayesian methods combine rule-based reservoir modelling and well data, with geometry and placement rules as part of the prior and well data accounted for by the likelihood. The focus here is on a shallow marine shoreface geometry of ordered sedimentary packages called bedsets. Shoreline advance and sediment build-up are described through progradation and aggradation parameters linked to individual bedset objects. Conditioning on data from non-vertical wells is studied. The emphasis is on the role of ‘configurations’—the order and arrangement of bedsets as observed within well intersections in establishing the coupling between well observations and modelled objects. A conditioning algorithm is presented that explicitly integrates uncertainty about configurations for observed intersections between the well and the bedset surfaces. As data volumes increase and model complexity grows, the proposed conditioning method eventually becomes computationally infeasible. It has significant potential, however, to support the development of more complex models and conditioning methods by serving as a reference for consistency in conditioning.
Aerobic glycolysis of vascular endothelial cells: a novel perspective in cancer therapy
Authors: Xu Shenhao , Liao Jiahao , Liu Bing , Zhang Cheng , Xu Xin 
Published: June 2024

Abstract
Vascular endothelial cells (ECs) are monolayers of cells arranged in the inner walls of blood vessels. Under normal physiological conditions, ECs play an essential role in angiogenesis, homeostasis and immune response. Emerging evidence suggests that abnormalities in EC metabolism, especially aerobic glycolysis, are associated with the initiation and progression of various diseases, including multiple cancers. In this review, we discuss the differences in aerobic glycolysis of vascular ECs under normal and pathological conditions, focusing on the recent research progress of aerobic glycolysis in tumor vascular ECs and potential strategies for cancer therapy.
Analysis of population structure and genetic diversity of Camellia tachangensis in Guizhou based on SNP markers
Authors: Huang Dejun , Niu Suzhen , Bai Dingchen , Zhao Zhifei , Li Caiyun , Deng Xiuling , Wang Yihan 
Published: June 2024

Abstract

Background

Camellia tachangensis F. C. Zhang is a five-compartment species in the ovary of tea group plants, which represents the original germline of early differentiation of some tea group plants.

Methods and results
In this study, we analyzed single-nucleotide polymorphisms (SNPs) at the genome level, constructed a phylogenetic tree, analyzed the genetic diversity, and further investigated the population structure of 100 C. tachangensis accessions using the genotyping-by-sequencing (GBS) method. A total of 91,959 high-quality SNPs were obtained. Population structure analysis showed that the 100 C. tachangensis accessions clustered into three groups: YQ-1 (Village Group), YQ-2 (Forest Group) and YQ-3 (Transition Group), which was further consistent with the results of phylogenetic analysis and principal component analyses (PCA). In addition, a comparative analysis of the genetic diversity among the three populations (Forest, Village, and Transition Groups) detected the highest genetic diversity in the Transition Group and the highest differentiation between Forest and Village Groups.

Conclusions

C. tachangensis plants growing in the forest had different genetic backgrounds from those growing in villages. This study provides a basis for the effective protection and utilization of C. tachangensis populations and lays a foundation for future C. tachangensis breeding.
CH4 transport in wetland plants under controlled environmental conditions – separating the impacts of phenology from environmental variables
Authors: Ge Mengyu , Korrensalo Aino , Putkinen Anuliina , Laiho Raija , Kohl Lukas , Pihlatie Mari , Lohila Annalea , Makiranta Päivi , Siljanen Henri , Tuittila Eeva-Stiina , Wang Jinsong , Koskinen Markku 
Published: June 2024

Abstract
Background and Aims
Methane (CH4) fluxes at peatland plant surfaces are net results of transport of soil-produced CH4 and within-plant CH4 production and consumption, yet factors and processes controlling these fluxes remain unclear. We aimed to assess the effects of seasonality, environmental variables, and CH4 cycling microbes on CH4 fluxes from characteristic fen species.

Methods
Four species (Carex rostrata, Menyanthes trifoliata, Betula nana, Salix lapponum) were selected, and their CH4 fluxes determined in climate-controlled environments with three mesocosms per growing season per species. Microbial genes for CH4 cycling were analysed to check the potential for within-plant CH4 production and oxidation. Two extra experiments were conducted: removal of C. rostrata leaves to identify how leaves constrain CH4 transport, and a labelling experiment with S. lapponum to distinguish between plant-produced and soil-produced CH4 in the plant flux.

Results
All species showed seasonal variability in CH4 fluxes. Higher porewater CH4 concentration increased fluxes from C. rostrata and M. trifoliata, decreased fluxes from S. lapponum, and did not affect fluxes from B. nana. Air temperature only and negatively affected CH4 flux from C. rostrata. Light level did not impact CH4 fluxes. Both methanogens and methanotrophs were detected in shoots of S. lapponum and M. trifoliata, methanotrophs in B. nana, and neither in C. rostrata.

Conclusion
Our study demonstrates that the seasonal phase of the plants regulates the CH4 fluxes they mediate across species. The detection of methanogens and methanotrophs in herbs and shrubs suggests that microbial processes may contribute to their CH4 fluxes.
Secure two-party computation via measurement-based quantum computing
Authors: Rahmani Zeinab , Pinto Armando Humberto Moreira Nolasco , Barbosa Luis Manuel Dias Coelho Soares 
Published: June 2024

AbstractSecure multiparty computation (SMC) provides collaboration among multiple parties, ensuring the confidentiality of their private information. However, classical SMC implementations encounter significant security and efficiency challenges. Resorting to the entangled Greenberger–Horne–Zeilinger (GHZ) state, we propose a quantum-based two-party protocol to compute binary Boolean functions, with the help of a third party. We exploit a technique in which a random Z-phase rotation on the GHZ state is performed to achieve higher security. The security and complexity analyses demonstrate the feasibility and improved security of our scheme compared to other SMC Boolean function computation methods. Additionally, we implemented the proposed protocol on the IBM QisKit and found consistent outcomes that validate the protocol’s correctness.
Using social networks to explore the social flexibility of urban vervet monkeys
Authors: Thatcher Harriet R. , Downs Colleen T. , Koyama Nicola F. 
Published: June 2024

AbstractIncreasing urbanisation reduces available habitat and increases human-wildlife interactions, presenting social and ecological challenges for many species; however, flexible generalist species, such as the vervet monkey, Chlorocebus pygerythrus, thrive under these pressures. In the urban mosaic, human-food sources represent clumped, monopolisable food that can increase contest competition. Social network analysis (SNA) is a powerful tool to monitor changes in social structure, yet it has rarely been used to study urban wildlife. Using SNA, we investigated the effect of anthropogenic food and human-wildlife interactions on social cohesion in five vervet monkey groups in urban KwaZulu-Natal, South Africa. Over six months, we conducted group scan samples every 30-min on each group and recorded all humans-vervet monkey interactions during dawn to dusk follows. We analysed the effect of foraging on natural and human-related food sources and human-vervet monkey interactions on social network metrics for grooming and aggression at group (density, clustering coefficient and distance) and individual (eigenvector centrality and degree) levels, using linear mixed models. Anthropogenic food influenced almost all social metrics. At the group level, foraging on anthropogenic food was related to increased density and cohesion in both grooming and aggression networks. At the individual level, increasing anthropogenic food affected high-ranking monkeys most: eigenvector centrality and outdegree in aggression networks increased with rank. Social network analysis can be a useful tool to document urban effects on wildlife groups, and aids our understanding of wildlife behavioural flexibility, a key tool in developing educated and effective management strategies.
Evolution of environmental chemistry study program curricula in tertiary education: a case study and general implications
Authors: Šebej Peter , Urík Jakub 
Published: June 2024

AbstractSocietal and scientific progress has led to the formation of new study programs, often with multidisciplinary curricula. Guarantors and teachers of such programs must be prepared to quickly adapt to the needs and demands of students, society, the job market, and the commercial sphere since many issues start surfacing during the first years of the programs’ life. Here we share our experience with such a process in the study program “Environment and Health” taught since 2019 at Masaryk University in Brno, Czech Republic. Feedback from students and alumni allows for improvement of the curriculum and organization of the program. We show feedback loops from three perspectives: Feedback from immediate short-term experience can be incorporated within a year, medium-term feedback loops can manifest after several years, and long-term ones even decades. While current students usually perceive only short- or medium-term issues, the philosophy and structure of the program must be built by predicting societal and commercial needs in the following decades. Such long-term aspects are often counterintuitive to students’ vision, but still have to be considered for the program to remain attractive to new applicants. Balancing the original vision, preparing and applying changes, and dealing with feedback on all levels are key managerial challenges of successful study programs.
Graphical Abstract
Soil structure dynamics in constructed Technosols for bioretention cells: X-ray microtomography study
Authors: Heckova Petra , Koestel John , Klement Ales , Kodesova Radka , Snehota Michal 
Published: June 2024

Abstract
Purpose
Constructed Technosols are frequently used to create the biofilter layer of blue-green infrastructure elements when the local soil does not possess the necessary properties. However, the long-term functioning of the biofilter is not entirely understood. The aim of this study is to elucidate changes in the structure of a constructed Technosol based biofilter of a bioretention cell (BC) by means of x-ray tomography and additional physical characterization during the first years after installation under two different water regimes.

Methods and materials
Two identical experimental BCs were studied to investigate structural changes in biofilter. The BCs exhibited different water regimes. BC1 collected naturally occurring rain concentrated from the nearby roof, while BC2 lacked a regular inflow of water except for several irrigation events and exhibited drier conditions overall. Biofilter was constructed using a mixture of 50% sand, 30% compost, and 20% topsoil. Undistributed soil samples were collected from the biofilter at 7, 12, 18, 23, and 31 months after BC installation. The changes in the soil pore system geometry were assessed by analyzing morphological parameters derived from X-ray computed microtomography images (μCT) and additional physical parameters. The μCT images were analyzed using the SoilJ software package.

Results
In both BCs, soil consolidation accompanied by a significant reduction in macroporosity and pore connectivity, occurred between months 7 and 18 in BC1 and between months 7 and 12 in BC2. Macroporosity then gradually increased in BC1 between months 18 and 31. During the same period, in the drier soil of BC2, macroporosity and pore connectivity decreased. In BC1, the water field capacity increased between months 7 and 18, but then returned to its initial values by month 31.

Conclusion
The μCT proved to be suitable for assessing the structural changes of constructed Technosol. Significant differences in soil structure development were observed in BC, depending on the water regime. These differences were particularly evident in the development of field capacity, total porosity, and macroporosity.
Ablation catheter–induced mechanical deformation in myocardium: computer modeling and ex vivo experiments
Authors: Ijima Yukako , Masnok Kriengsak , Perez Juan J. , González-Suárez Ana , Berjano Enrique , Watanabe Nobuo 
Published: June 2024

AbstractCardiac catheter ablation requires an adequate contact between myocardium and catheter tip. Our aim was to quantify the relationship between the contact force (CF) and the resulting mechanical deformation induced by the catheter tip using an ex vivo model and computational modeling. The catheter tip was inserted perpendicularly into porcine heart samples. CF values ranged from 10 to 80 g. The computer model was built to simulate the same experimental conditions, and it considered a 3-parameter Mooney-Rivlin model based on hyper-elastic material. We found a strong correlation between the CF and insertion depth (ID) (R2 = 0.96, P < 0.001), from 0.7 ± 0.3 mm at 10 g to 6.9 ± 0.1 mm at 80 g. Since the surface deformation was asymmetrical, two transversal diameters (minor and major) were identified. Both diameters were strongly correlated with CF (R2 ≥ 0.95), from 4.0 ± 0.4 mm at 20 g to 10.3 ± 0.0 mm at 80 g (minor), and from 6.4 ± 0.7 mm at 20 g to 16.7 ± 0.1 mm at 80 g (major). An optimal fit between computer and experimental results was achieved, with a prediction error of 0.74 and 0.86 mm for insertion depth and mean surface diameter, respectively.
Graphical Abstract
Examining the Drivers and Boundary Conditions of Social Innovation: Evidence from MNE Subsidiaries in a Developing Economy
Authors: Nkrumah Michael , Owusu-Yirenkyi Diana , Nyuur Richard B. , Donbesuur Francis , Essuman Dominic 
Published: June 2024

AbstractAlthough social innovation can help multinational enterprise (MNE) subsidiaries create social value for developing countries, they often encounter significant challenges in successfully implementing social innovation projects. This research applies the knowledge-based perspective to propose and test a theoretical framework to explain why MNE subsidiaries differ in their ability to pursue social innovation successfully in a developing country. The framework contends that MNEs’ relationship learning contributes to social innovation variability under varying levels of subsidiary autonomy and mode of entry. Analysis of primary data collected from 207 subsidiaries of MNEs operating in Ghana shows that relationship learning has a positive relationship with social innovation. Further analysis reveals that subsidiary autonomy enhances the positive association between relationship learning and social innovation, and that this moderating effect is stronger for subsidiaries with equity entry mode as opposed to non-equity entry mode. These insights advance the limited understanding of the antecedents of MNEs’ social innovation in developing countries and offer guidance on how MNE subsidiaries can successfully pursue social innovation interventions in a developing country.
Exploring Elemental Powder Approach for Making Al and Ti Containing High-Entropy Alloys by Powder Bed Fusion
Authors: Bardo R. , Dziurka R. , Fryzowicz K. , Bała P. 
Published: June 2024

AbstractThis research aimed to produce high-entropy alloys (HEA), namely Mn–Fe–Co–Ni + 5Al and Mn–Fe–Co–Ni + 5Al + 5Ti, through the Powder Bed Fusion technique using elemental powders. Alloy composition has been selected to achieve a HEA matrix with strengthening intermetallic precipitates. Thermo-Calc software has been used to predict solidification behavior and phase stability for non-equilibrium conditions. The experiment involved the execution of an additive manufacturing process with a laser working in point-by-point exposure mode to produce samples using varying laser power and exposure time. The samples underwent investigation via macroscopic examination, porosity analysis, scanning electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, and hardness testing. Results have shown that processing parameters and alloy constituents directly influenced processability and sample traits. What is more, a high-energy laser beam introduction to the material during the process has helped mitigate the formation of large Ti or Al oxides. In addition, EDS analysis indicated that higher Volumetric Energy Density values enhanced the uniformity of chemical composition, indicating that homogeneity can be achieved by selecting appropriate melting parameters. The results clearly show that these alloys can be successfully (by means of porosity and homogeneity) manufactured from elemental powders via the powder bed fusion technique.