bluuebunny/crossref_metadata_2025_split huggingface dataset:
Root Rot Management in Common Bean (Phaseolus vulgaris L.) Through Integrated Biocontrol Strategies using Metabolites from Trichoderma harzianum, Serratia marcescens, and Vermicompost Tea
Authors: Helmy Karima G. , Abu-Hussien Samah H. 
Published: July 2024

AbstractCommon bean (Phaseolus vulgaris L.) is an essential food staple and source of income for small-holder farmers across Africa. However, yields are greatly threatened by fungal diseases like root rot induced by Rhizoctonia solani. This study aimed to evaluate an integrated approach utilizing vermicompost tea (VCT) and antagonistic microbes for effective and sustainable management of R. solani root rot in common beans. Fourteen fungal strains were first isolated from infected common bean plants collected across three Egyptian governorates, with R. solani being the most virulent isolate with 50% dominance. Subsequently, the antagonistic potential of vermicompost tea (VCT), Serratia sp., and Trichoderma sp. was assessed against this destructive pathogen. Combinations of 10% VCT and the biocontrol agent isolates displayed potent inhibition of R. solani growth in vitro, prompting in planta testing. Under greenhouse conditions, integrated applications of 5 or 10% VCT with Serratia marcescens, Trichoderma harzianum, or effective microorganisms (EM1) afforded up to 95% protection against pre- and post-emergence damping-off induced by R. solani in common bean cv. Giza 6. Similarly, under field conditions, combining VCT with EM1 (VCT + EM1) or Trichoderma harzianum (VCT + Trichoderma harzianum) substantially suppressed disease severity by 65.6% and 64.34%, respectively, relative to untreated plants. These treatments also elicited defense enzyme activity and distinctly improved growth parameters including 136.68% and 132.49% increases in pod weight per plant over control plants. GC–MS profiling of Trichoderma harzianum, Serratia marcescens, and vermicompost tea (VCT) extracts revealed unique compounds dominated by cyclic pregnane, fatty acid methyl esters, linoleic acid derivatives, and free fatty acids like oleic, palmitic, and stearic acids with confirmed biocontrol and plant growth-promoting activities. The results verify VCT-mediated delivery of synergistic microbial consortia as a sustainable platform for integrated management of debilitating soil-borne diseases, enhancing productivity and incomes for smallholder bean farmers through regeneration of soil health. Further large-scale validation can pave the adoption of this climate-resilient approach for securing food and nutrition security.
Variability of the surface boundary layer of reef-building coral species
Authors: Martins Catarina P. P. , Wall Marlene , Schubert Patrick , Wilke Thomas , Ziegler Maren 
Published: July 2024

AbstractThe coral-seawater interface is an important, highly dynamic microenvironment for reef-building corals. Also known as the concentration boundary layer (CBL), it is a thin layer of seawater bordering the coral surface that dictates the biochemical exchange between the coral colony and bulk seawater. The CBL is thus a key feature that modulates coral metabolism. However, CBL variation among small-polyped coral species remains largely unknown. Therefore, we recorded over 100 profiles of dissolved O2 concentration using microsensors to characterize CBL traits (thickness, surface O2 concentration, and flux) of three small-polyped branching coral species, Acropora cytherea, Pocillopora verrucosa, and Porites cylindrica. Measurements were conducted during light and darkness combined with low or moderate water flow (2 and 6 cm s−1). We found that CBL traits differed among species. CBL thickness was lowest in A. cytherea, while P. verrucosa showed the largest depletion of surface O2 in dark and highest dark flux. In addition, we found that O2 concentration gradients in the CBL occurred with three main profile shapes: diffusive, S-shaped, and complex. While diffusive profiles were the most common profile type, S-shaped and complex profiles were more frequent in P. verrucosa and P. cylindrica, respectively, and prevailed under low flow. Furthermore, profile types differed in CBL thickness and flux. Finally, low flow thickened CBLs, enhanced changes in surface O2 concentration, and reduced flux, compared to moderate flow. Overall, our findings reveal CBL variability among small-polyped branching corals and help understand CBL dynamics in response to changes in light and water flow conditions.
Inhibited hydrogen uptake in metasomatised cratonic eclogite
Authors: Aulbach Sonja , Gies Nils B. , Linckens Jolien , Stalder Roland , Viljoen Fanus 
Published: July 2024

AbstractWater occurs in Earth’s interior mostly as trace hydroxyl in nominally anhydrous minerals. Clinopyroxene is known to be an important water carrier in the uppermost mantle, and eclogite, which forms a subordinate part of the cratonic lithosphere, contains some 50% of jadeite-rich clinopyroxene, making this potentially a significant H2O reservoir in the bulk lithospheric mantle. Mantle metasomatism, in particular by small-volume melts like kimberlite, is known to enrich the lithosphere in highly incompatible components, but its effect on H2O contents in cratonic eclogite remains unclear. We report H2O concentrations for clinopyroxene and garnet in eclogite and pyroxenite xenoliths from several African kimberlites, obtained by Fourier-Transform Infrared Spectroscopy (FTIR). Except one sample showing evidence for minor within-grain variability of H2O concentrations (< 15%), FTIR images demonstrate that H2O is homogeneously distributed in optically clear areas of clinopyroxene fragments mounted for this study. The samples were variably metasomatised by a kimberlite-like melt, as evidenced by elevated MgO contents and abundances of highly incompatible elements (e.g., Sr, Ce, Th). Although metasomatised eclogites and pyroxenites on average show higher H2O abundances than pristine ones, mantle metasomatism decreases the Al2O3 content in clinopyroxene, which is known to enhance hydrogen incorporation in this mineral. As a consequence, hydrogen incorporation is inhibited, and c(H2O) becomes increasingly decoupled from other highly incompatible components, such as LREE. Thus, eclogite – metasomatised or not - does not significantly contribute to the H2O inventory in the bulk cratonic mantle.
Vanishing self-diffusivity in Ginibre interacting Brownian motions in two dimensions
Authors: Osada Hirofumi 
Published: July 2024

AbstractWe prove that the tagged particles of infinitely many Brownian particles in $$ {\mathbb {R}} ^2$$

R

2

interacting via a logarithmic (two-dimensional Coulomb) potential with inverse temperature $$ \beta = 2 $$

β
=
2

are sub-diffusive. The associated unlabeled diffusion is reversible with respect to the Ginibre random point field, and the dynamics are thus referred to as the Ginibre interacting Brownian motion. If the interacting Brownian particles have interaction potential $$ \Psi $$
Ψ
of Ruelle class and the total system starts in a translation invariant equilibrium state, then the tagged particles are always diffusive if the dimension $$ d$$
d
of the space $$ {\mathbb {R}}^{d} $$

R

d

is greater than or equal to two. That is, the tagged particles are always non-degenerate under diffusive scaling. Our result is, therefore, contrary to known results. The Ginibre random point field has various levels of geometric rigidity. Our results reveal that the geometric property of infinite particle systems affects the dynamical property of the associated stochastic dynamics.
Online videos of robotic-assisted cholecystectomies: more harm than good?
Authors: Brian Riley , Gomes Camilla , Alseidi Adnan , Jorge Irving , Malino Cris , Knauer Eric , Asbun Domenech , Deal Shanley B. , Soriano Ian 
Published: July 2024

Abstract
Background
Many surgeons use online videos to learn. However, these videos vary in content, quality, and educational value. In the setting of recent work questioning the safety of robotic-assisted cholecystectomies, we aimed (1) to identify highly watched online videos of robotic-assisted cholecystectomies, (2) to determine whether these videos demonstrate suboptimal techniques, and (3) to compare videos based on platform.

Methods
Two authors searched YouTube and a members-only Facebook group to identify highly watched videos of robotic-assisted cholecystectomies. Three members of the Society of American Gastrointestinal and Endoscopic Surgeons Safe Cholecystectomy Task Force then reviewed videos in random order. These three members rated each video using Sanford and Strasberg’s six-point criteria for critical view of safety (CVS) scoring and the Parkland grading scale for cholecystitis. We performed regression to determine any association between Parkland grade and CVS score. We also compared scores between the YouTube and Facebook videos using a t test.

Results
We identified 50 videos of robotic-assisted cholecystectomies, including 25 from YouTube and 25 from Facebook. Of the 50 videos, six demonstrated a top-down approach. The remaining 44 videos received a mean of 2.4 of 6 points for the CVS score (SD = 1.8). Overall, 4 of the 50 videos (8%) received a passing CVS score of 5 or 6. Videos received a mean of 2.4 of 5 points for the Parkland grade (SD = 0.9). Videos on YouTube had lower CVS scores than videos on Facebook (1.9 vs. 2.8, respectively), though this difference was not significant (p = 0.09). By regression, there was no association between Parkland grade and CVS score (p = 0.13).

Conclusion
Publicly available and closed-group online videos of robotic-assisted cholecystectomy demonstrated inadequate dissection and may be of limited educational value. Future work should center on introducing measures to identify and feature videos with high-quality techniques most useful to surgeons.

Graphical abstract
Grasping the big picture: impact analysis of screening tools for timely referral for device-aided therapies
Authors: Moes H. R. , Dafsari H. S. , Jost W. H. , Kovacs N. , Pirtošek Z. , Henriksen T. , Falup-Pecurariu C. , Minár M. , Buskens E. , van Laar T. 
Published: July 2024

AbstractSeveral screening tools are available to assist general neurologists in the timely identification of patients with advanced Parkinson’s disease (PD) who may be eligible for referral for a device-aided therapy (DAT). However, it should be noted that not all of these clinical decision rules have been developed and validated in a thorough and consistent manner. Furthermore, only a limited number of head-to-head comparisons have been performed. Available studies suggest that D-DATS has a higher positive predictive value and higher specificity than the 5-2-1 criteria, while the sensitivity of both screening tools is similar. However, unanswered questions remain regarding the validity of the decision rules, such as whether the diagnostic performance measures from validation studies are generalizable to other populations. Ultimately, the question is whether a screening tool will effectively and efficiently improve the quality of life of patients with PD. To address this key question, an impact analysis should be performed. The authors intend to set up a multinational cluster randomised controlled trial to compare the D-DATS and 5-2-1 criteria on the downstream consequences of implementing these screening tools, with a particular focus on the impact on disability and quality of life.
Monitoring the curing, degradation and moisture ingress into alkyl 2-cyanoacrylate adhesives using electrochemical impedance spectroscopy
Authors: Raheem Kevin , Cassidy John , Ryan Bernard , Betts Anthony 
Published: July 2024

AbstractElectrochemical impedance spectroscopy (EIS) was employed in an attempt to gain insight into the mechanisms of ethyl 2-cyanoacrylate (ECA) curing (polymerisation) and bonding on aluminium alloy 2024 metal. EIS can detect ionic movement, adsorption processes, charge transfer and storage occurring at an adhesive/substrate interface and/or in a bulk bond line during curing. Low-frequency capacitance measurements demonstrated sensitivity to surface polymerisation reactions and were modelled using an equivalent circuit model with two time constants in series. At a frequency of 1 kHz, changes in the dielectric polymer could be readily followed with time, confirmed by employing a crown ether to accelerate the polymerisation process. Hydrolytic degradation of poly-ECA bonds at a stainless steel interface was also investigated. An equivalent circuit model containing a number of circuit components comprising pore, charge transfer and diffusional impedances, along with polymer film, double layer and diffusional capacitances (represented by constant phase elements), was developed. Three regions were identified in the frequency domain and ascribed to processes taking place at the polymer/electrolyte and polymer/metal oxide interfaces. In short, EIS can be employed to follow the rate of polymerisation of ethyl-2-cyanoacrylate and also the degradation of the resulting polymer in saline solution.
Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles
Authors: Duan Zhengjie , Zhou Jiajun , Gu Fangzhou 
Published: July 2024

AbstractProduct shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through visual images. The presentation of visual images causes evaluators to form different cognitive experiences and evaluation results. In recent years, virtual reality (VR) technology has been widely used in the field of industrial design, enriching the presentation forms of design scheme images. Although VR technology has shown the potential to improve evaluators’ perception and cognitive experiences in product shape design, research comparing it with traditional methods remains relatively scattered. This study used two-wheel electric vehicles as an example to examine the difference in evaluators’ cognition of product shape in VR and a real setting (RS). First, we established a semantic scale comprising seven pairs of opposite adjectives to evaluate the shape scheme. Second, we built VR and RS evaluation environments using head-mounted displays and paper renderings, respectively. The participants evaluated the vehicle shape design in alternating viewing and underwent semi-structured interviews on cognitive experience. We analyzed the experimental and interview results based on three aspects of product shape cognition. The results demonstrated that volume cognition was significantly more accurate in VR environments. Furthermore, graphic cognition, particularly regarding shape details, differed partially between environments. VR provided a better sense of immersion and more variable viewing angles than RS. Treatment cognition did not exhibit significant differences between environments, as it depended on human experience rather than visualization. These findings suggest that VR tools are more suited for shaping design evaluations early. Selecting suitable visual presentation tools based on evaluators’ cognitive characteristics at different evaluation nodes to display design schemes is a practical, economical, and efficient strategy.
Psychometric evaluation of the Adherence to Refills and Medications Scale (ARMS) in Australians living with gout
Authors: Schulz Marcel , Day Richard O. , Coleshill Matthew J. , Briggs Nancy E. , Aung Eindra 
Published: July 2024

AbstractThis study aimed to examine psychometric properties of the Adherence to Refills and Medications Scale (ARMS) in people with gout. We conducted exploratory factor analysis (EFA) and tested internal consistency (ordinal and Cronbach’s alpha coefficients) and agreement (intraclass correlation coefficient (2,1)) in ARMS scores across three timepoints (baseline, 6, and 12 months) in 487 people with gout. The Kruskal–Wallis test, Spearman’s rank, Kendall’s tau-b correlations, and logistic regression were used to examine the criterion-related validity of the ARMS and factors associated with the ARMS. EFA suggested a one-factor structure, explaining 43.2% of total variance. High internal consistency (ordinal alpha = 0.902 at baseline) and moderate agreement in ARMS scores over time (ICCs > 0.5; p < 0.001) were observed. Lower ARMS scores (indicating better adherence) predicted achieving target serum urate (OR, 0.89; 95% CI, 0.83–0.95; p < 0.001), but not urate-lowering therapy (ULT) adherence (Proportion of Days Covered (PDC) ≥ 80%) (OR, 0.93; 95% CI, 0.81–1.05; p = 0.261). Negative correlations between ARMS and PDC were not statistically significant (Kendall’s tau-b, r =  − 0.126, p = 0.078; Spearman’s rho =  − 0.173, p < 0.073). Differences in median ARMS scores (IQR) of 16 (14–20), 13 (12–15), and 17.5 (15–21) in three groups of participants who reported (1) not taking ULT, (2) taking ULT and adherent, and (3) taking ULT but not adherent, respectively, were statistically significant (p < 0.001). Age was the only patient factor independently associated with optimal adherence (ARMS score = 12) (OR, 1.91; 95% CI, 1.50–2.43; p < 0.001). The ARMS is a reliable and valid measure of medication adherence behaviours in people with gout, justifying its use in gout medication adherence research.

Key Points• Valid, practical, and efficient methods of measuring adherence to medications are needed in people with gout.• Commonly used medication adherence questionnaires have limited validity or have not been validated in people with gout.• The Adherence to Refills and Medications Scale (ARMS) has been proven valid and practical in many chronic illnesses but has not been validated in people with gout.• We showed the ARMS is valid and reliable for use in people with gout.
Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data
Authors: De Novellis G. , Doretti M. , Montanari G. E. , Ranalli M. G. , Salvati N. 
Published: July 2024

AbstractEvaluating the performance of health care institutions is of paramount interest and it is often conducted using generalized linear mixed models. In this paper, we focus on the evaluation of Nursing Homes for elderly residents in a region of Italy and concentrate on binary outcomes (death and worsening). We propose to use a routinely assessed covariate such as the Resource Utilization Group to account for case-mix. We fit finite mixtures of logistic models to check the assumption of normality of the random effects in the generalized linear mixed model approach and to obtain a clustering of the Nursing Homes with respect to their performance. Since the distribution of the random effects is very skew, we propose to use scores based on robust M-Quantile regression for binary data and estimate their standard error using block-bootstrap. A sensitivity analysis is also conducted to evaluate the assumption of missing at random for non-observed data on discharged residents.
A buzzword, a “win-win”, or a signal towards the future of agriculture? A critical analysis of regenerative agriculture
Authors: Wilson Kelly R. , Hendrickson Mary K. , Myers Robert L. 
Published: July 2024

Abstract
As the term regenerative agriculture caught fire in public discourse around 2019, it was promptly labelled a buzzword. While the buzzword accusation tends to be regarded as negative, these widely used terms also reflect an important area of growing public interest. Exploring a buzzword can thus help us understand our current moment and offer insights to paths forward. In this study, we explored how and why different individuals and groups adopt certain key terms or buzzwords, in this case the term “regenerative agriculture”. We used an interpretivist approach to understand how “regenerative agriculture” is being constructed, interpreted, understood, and employed, drawing from 19 semi-structured interviews conducted with farmers, researchers, private companies, and NGO/nonprofits. Several interviewees felt that regenerative agriculture is making an important societal shift in thinking towards addressing major issues like climate change and parity in our food and agricultural systems. However, farmers in particular felt that the term is being greenwashed, coopting the work they do, and even diluting the meaning. We also found that regenerative agriculture is being advanced as mobilizing “win-wins”—for farmers, for consumers, for society—but that this discourse may be veiling the political and economic agendas of the big companies using the term. Our findings further illustrated the debates over standardizing the term regenerative agriculture, with some contending that there should be room for “continuous improvement” but others felt it is meaningless without a definition.
From 2008–2011 Great Recession to COVID-19 pandemic: an analysis of resilience metrics in European regions
Authors: Ileanu Bogdan-Vasile , Pana Adrian 
Published: July 2024

AbstractWe aim to clarify the usefulness of different measures of economic resilience in the context of global shocks. In relation to the Great Recession, Oil& European migrant crises, and COVID-19, we compute and validate from a statistical point of view, then characterize five metrics on 317 NUTS2 regions and 21 years. ROC curves and Cox regression compare them by the capacity to predict the post-shock state. Heterogenous behavior characterizes resistance, recovery, and loss. Furthermore, the non-linear resistance performs best in future state prediction, while the composite index has the lowest efficiency as a predictor of the regions’ recovery.
Generative AI and higher education: a review of claims from the first months of ChatGPT
Authors: Jensen Lasse X , Buhl Alexandra , Sharma Anjali , Bearman Margaret 
Published: July 2024

AbstractThe release of the Artificial Intelligence (AI) chatbot ChatGPT renewed discussions about how AI would upend higher education. This paper presents a critical analysis of “grey literature” claims made in the first months after ChatGPT was made public, exploring what these discussions might mobilise in practice. We identified articles for inclusion through a systematic search of five prominent higher education sector outlets. The included articles were thematically coded for claims about generative AI and higher education. We identified ten claims: Three about the nature of ChatGPT, four about changing practices of institutions and teachers, and three about new independent practices of students. Overall, the claims present a positive perspective on AI in higher education. While being perceived as a disruption of the status quo, the authors generally frame AI as a catalyst for existing agendas, e.g. assessment reform, personalisation, or inclusion. This suggests a focus on embracing the affordances offered by AI and primarily addressing risks by including AI in curricula. Furthermore, the claims mainly portray students as either plagiarists or victims of a failing educational system. The paper proposes that a more critical interrogation of generative AI, and the involvement of students in the conversation, may be beneficial.