bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using dietary exposure to determine sub-lethal effects from imidacloprid in two springtail (Collembola) species
Authors: Silva Andreia Sofia Jorge , Kristiansen Silje Marie , Sengupta Sagnik , van Gestel Cornelis A. M. , Leinaas Hans Petter , Borgå Katrine 
Published: November 2023

AbstractStandard toxicity tests expose springtails (Collembola) through soil, while dietary exposure tests with animals visible on a surface are less commonly applied. We refined a method for dietary chemical exposure for two widely distributed and abundant Collembola species: Folsomia quadrioculata and Hypogastrura viatica as existing methods were sub-optimal. Newly hatched Collembola were offered bark with a natural layer of Cyanobacteria that was either moistened with a solution of the neonicotinoid insecticide imidacloprid using a micropipette or soaked in the solution overnight. The first method was superior in producing a measured concentration close to the nominal (0.21 and 0.13 mg/kg dry bark, respectively), and resulting in sub-lethal effects as expected. The adult body size was reduced by 8% for both species, but egg production only in H. viatica. Contrastingly, soaked bark resulted in a measured concentration of 8 mg/kg dry bark, causing high mortality and no egg production in either species. Next, we identified the sub-lethal concentration-range by moistening the bark to expose H. viatica to 0, 0.01, 0.04, 0.13, 0.43 and 1.2 mg imidacloprid/kg dry bark. Only the highest concentration affected survival, causing a mortality of 77%. Imidacloprid reduced moulting rate and the body size at first reproduction. The age at first reproduction appeared delayed as some replicates did not reproduce within the experiment duration. The method of moistened bark for dietary exposure proved optimal to continuously study life history traits, such as growth and reproductive outcomes, which are important to understand effects on key events crucial for population viability and growth.
Detecting outdated code element references in software repository documentation
Authors: Tan Wen Siang , Wagner Markus , Treude Christoph 
Published: November 2023

AbstractOutdated documentation is a pervasive problem in software development, preventing effective use of software, and misleading users and developers alike. We posit that one possible reason why documentation becomes out of sync so easily is that developers are unaware of when their source code modifications render the documentation obsolete. Ensuring that the documentation is always in sync with the source code takes considerable effort, especially for large codebases. To address this situation, we propose an approach that can automatically detect code element references that survive in the documentation after all source code instances have been deleted. In this work, we analysed over 3,000 GitHub projects and found that most projects contain at least one outdated code element reference at some point in their history. We submitted GitHub issues to real-world projects containing outdated references detected by our approach, some of which have already led to documentation fixes. As an initiative toward keeping documentation in software repositories up-to-date, we have made our implementation available for developers to scan their GitHub projects for outdated code element references.
Validation of a New Analytical Formula to Predict the Steel Temperature of Heavily Insulated Cross-Sections
Authors: Possidente Luca , Tondini Nicola 
Published: November 2023

AbstractFire protection is a popular solution to slow down the temperature increase in steel elements subjected to fire, and simple equations, such as the mass lumped formula proposed in EN1993-1-2, may be employed to estimate the steel temperature in the cross-section. The EN1993-1-2 formula assumes that the temperature of the exposed insulation surface and the surrounding gas are equal. This simplification may provide inaccurate results for heavily insulated steel sections. Therefore, a new mass lumped formula was derived, accounting for more accurate boundary conditions considering the heat flux impinging the insulation. On these premises, this work evaluates how the new simple formula fares with respect to the EN1993-1-2 formula. In this respect, a comprehensive comparison with the results of 1-D and 2-D analyses considering several insulation materials and thicknesses of insulation and steel is thoroughly presented. The proposal results in being always safe and better estimates steel temperatures relevant in the structural fire engineering context. Its use is particularly recommended for heavily insulated sections, where the ratio between the insulation and the steel heat capacities is higher than 14, and the EN1993-1-2 formula gives unsafe predictions.
Mass-Charge Metric in Curved Spacetime
Authors: Haug Espen Gaarder , Spavieri Gianfranco 
Published: November 2023

AbstractIn the context of gravitational objects with spherical symmetry, we derive a solution to Einstein’s field equations using two methods leading to the same result. The first is based on a stress-energy tensor that takes into account both the electric field energy of the charge and the gravitational field energy of the mass. The second is based on the mass-energy equivalence and has more general validity. We show that the metric falls within the Weyl class of metrics, representing a static and axisymmetric solution to Einstein’s field equations. The metric, which has a form similar to that of Reisser-Nordström, is used for predictions in strong fields and possibly shows better agreement with observation in high z quasars.
Binding of small molecule inhibitors to RNA polymerase-Spt5 complex impacts RNA and DNA stability
Authors: Gallardo Adan , Dutagaci Bercem 
Published: November 2023

AbstractSpt5 is an elongation factor that associates with RNA polymerase II (Pol II) during transcription and has important functions in promoter-proximal pausing and elongation processivity. Spt5 was also recognized for its roles in the transcription of expanded-repeat genes that are related to neurodegenerative diseases. Recently, a set of Spt5-Pol II small molecule inhibitors (SPIs) were reported, which selectively inhibit mutant huntingtin gene transcription. Inhibition mechanisms as well as interaction sites of these SPIs with Pol II and Spt5 are not entirely known. In this study, we predicted the binding sites of three selected SPIs at the Pol II-Spt5 interface by docking and molecular dynamics simulations. Two molecules out of three demonstrated strong binding with Spt5 and Pol II, while the other molecule was more loosely bound and sampled multiple binding sites. Strongly bound SPIs indirectly affected RNA and DNA dynamics at the exit site as DNA became more flexible while RNA was stabilized by increased interactions with Spt5. Our results suggest that the transcription inhibition mechanism induced by SPIs can be related to Spt5-nucleic acid interactions, which were altered to some extent with strong binding of SPIs.
Investigation of the hydrogen bonded host‧‧‧guest and guest‧‧‧guest interactions present in complexes of a polyaromatic wheel-and-axle host compound with dioxane, morpholine, piperidine and pyridine
Authors: Barton Benita , Caira Mino R. , Vorgers Jarryd , Hosten Eric C. 
Published: November 2023

Abstract1,4-Bis(diphenylhydroxymethyl)benzene (H), a host compound possessing wheel-and-axle geometry, was found to possess host ability for dioxane (DIO), morpholine (MOR) and piperidine (PIP), forming inclusion compounds with each one with 1:2 host:guest ratios. This observation prompted an investigation of the host behaviour in mixtures of these guest compounds but where pyridine (PYR) was also considered (PYR was reported earlier to also form a 1:2 complex with H). In mixtures, H demonstrated significant affinities for, more especially, MOR and PIP, while DIO and PYR were usually disfavoured guest species. Single crystal X-ray diffraction experiments revealed that MOR (a favoured guest species) interacted by means of three hydrogen bonds with both adjacent guest and host molecules, plausibly explaining the host preference for this guest species; each of DIO, PYR and PIP were involved in only one interaction of this type with H. Total energy calculations revealed that the host-guest molecular pairs involving preferred MOR and PIP possessed significantly lower energies than those with disfavoured DIO and PYR. Thermal analyses demonstrated that the complex containing the least favoured guest compound, H‧2(DIO), possessed the lowest thermal stability of the four complexes, but these experiments did not clearly explain the affinity of H for MOR.
Distribution of Patterns of Constrained Length in Binary Sequences
Authors: Makri Frosso S. , Psillakis Zaharias M. 
Published: November 2023

AbstractOn a finite sequence of binary (0-1) trials we define a random variable enumerating patterns of length subject to certain constraints. For sequences of independent and identically distributed binary trials exact probability mass functions are established in closed forms by means of combinatorial analysis. An explicit expression of the mean value of this random variable is obtained. The results associated with the probability mass functions are extended on sequences of exchangeable binary trials. An application in Information theory concerning counting of a class of run-length-limited binary sequences is provided as a direct byproduct of our study. Illustrative numerical examples exemplify further the results.
Counterfactual mood in Czech, German, Norwegian, and Russian
Authors: Sæbø Kjell Johan 
Published: November 2023

AbstractThe type of mood or tense marking that causes counterfactuality inferences—as figuring prominently, but far from exclusively, in counterfactual conditionals—has not yet received a comprehensive and compositional analysis. Focusing on four languages, the paper presents under-appreciated facts and a novel theory where the mood serves to activate alternatives to modal operators, particularly one: the identity operator, often giving rise to counterfactual implicatures.
Organized representations forming a computationally useful processing structure
Authors: Shea Nicholas 
Published: November 2023

AbstractPeter Godfrey-Smith recently introduced the idea of representational ‘organization’. When a collection of representations form an organized family, similar representational vehicles carry similar contents. For example, where neural firing rate represents numerosity (an analogue magnitude representation), similar firing rates represent similar numbers of items. Organization has been elided with structural representation, but the two are in fact distinct. An under-appreciated merit of representational organization is the way it facilitates computational processing. Representations from different organized families can interact, for example to perform addition. Their being organized allows them to implement a useful computation. Many of the cases where organization has seemed significant, but which fall short of structural representation, are cases where representational organization underpins a computationally useful processing structure.
What influences users to provide explicit feedback? A case of food delivery recommenders
Authors: Haruyama Matthew , Hidaka Kazuyoshi 
Published: November 2023

AbstractAlthough various forms of explicit feedback such as ratings and reviews are important for recommenders, they are notoriously difficult to collect. However, beyond attributing these difficulties to user effort, we know surprisingly little about user motivations. Here, we provide a behavioral account of explicit feedback’s sparsity problem by modeling a range of constructs on the rating and review intentions of US food delivery platform users, using data collected from a structured survey (n = 796). Our model, combining the Technology Acceptance Model and Theory of Planned Behavior, revealed that standard industry practices for feedback collection appear misaligned with key psychological influences of behavioral intentions. Most notably, rating and review intentions were most influenced by subjective norms. This means that while most systems directly request feedback in user-to-provider relationships, eliciting them through social ties that manifest in user-to-user relationships is likely more effective. Secondly, our hypothesized dimensions of feedback’s perceived usefulness recorded insubstantial effect sizes on feedback intentions. These findings offered clues for practitioners to improve the connection between providing behaviors and recommendation benefits through contextualized messaging. In addition, perceived pressure and users’ high stated ability to provide feedback recorded insignificant effects, suggesting that frequent feedback requests may be ineffective. Lastly, privacy concerns recorded insignificant effects, hinting that the personalization-privacy paradox might not apply to preference information such as ratings and reviews. Our results provide a novel understanding of explicit feedback intentions to improve feedback collection in food delivery and beyond.
Understanding Visitors’ Curiosity in a Science Centre with Deep Question Processing Network
Authors: Xu Zhaozhen , Howarth Amelia , Briggs Nicole , Cristianini Nello 
Published: November 2023

AbstractQuestions have a critical role in learning and teaching. People ask questions to obtain information and express interest in ideas. The Bristol scientific centre “We The Curious” launched “Project What If” in 2017 to inspire residents of Bristol to record their questions and pursue their curiosities. Researching these questions may help the museum better understand the curiosity of its audiences and create exhibitions or educational content that are more relevant to their interests and lives. The project managed to collect more than 10,000 questions on various topics, and more questions are being collected on a daily basis. With this large amount of data collected, it is time-consuming to process and analyse all the questions by humans. This research aims to apply artificial intelligence (AI) techniques and models in analysing these questions gathered by We The Curious. Meanwhile, in AI, there is a lack of tools that focus on processing and analysing the questions. Thus, we introduce a deep neural network called QBERT to process the questions for three tasks: question taxonomy, equivalent question detection, and question answering. Then we apply QBERT to provide an analysis of the questions collected by We The Curious, as well as comprehend Bristolians’ curiosity. Then using QBERT, we categorise the We The Curious questions into 90 themes and 5,930 communities. Moreover, 436 questions are answered by one-sentence answers extracted from Wikipedia.
ESS MS-G3D: extension and supplement shift MS-G3D network for the assessment of severe mental retardation
Authors: Liu Quan , Cai Mincheng , Liu Dujuan , Ma Simeng , Zhang Qianhong , Xiang Dan , Yao Lihua , Liu Zhongchun , Yang Jun 
Published: November 2023

AbstractAutomated mental retardation (MR) assessment is potential for improving the diagnostic efficiency and objectivity in clinical practice. Based on the researches on abnormal behavior characteristics of patients with MR, we propose an extension and supplement shift multi-scale G3D (ESS MS-G3D) network for video-based assessment of MR. Specifically, all videos are collected from clinical diagnostic scenarios and the skeleton sequence of human body is extracted from videos through an advanced pose estimation model. To solve the shortcomings of existing behavior characteristic learning methods, we present: (1) three G3D styles, enable the network to have different input forms; (2) two G3D graphs and two extension graphs, redefine and extend the graph structure of spatial–temporal nodes; (3) two learnable parameters, realize adaptive adjustment of graph structure; (4) a shift layer, enable the network to learn global features. Finally, we construct a three-branch model ESS MS-STGC, which can capture the discriminative spatial–temporal features and explore the co-occurrence relationship between spatial and temporal domains. Experiments in clinical video data set show that our proposed model has good performance in MR assessment and is superior to the existing vision-based methods. In two-classification task, our model with joint stream achieves the highest accuracy of $$94.63\%$$

94.63
%

in validation set and $$89.13\%$$

89.13
%

in test set. The results are further improved to $$96.52\%$$

96.52
%

and $$93.22\%$$

93.22
%

, respectively, by utilizing multi-stream fusion strategy. In four-classification task, our model obtains Top1 accuracy of $$78.84\%$$

78.84
%

and Top2 accuracy of $$91.34\%$$

91.34
%

in test set. The proposed method provides a new idea for clinical mental retardation assessment.
Application of frequency selection and geoelectrical sounding methods for mapping of leachate’s pathways in an active dumpsite
Authors: Adagunodo Theophilus Aanuoluwa , Ojoawo Ayobami Ismaila , Anie Nicholas Oliseloke , Edukugho Praise Oforitsenere 
Published: November 2023

AbstractContamination of surrounding environments is one of the threats to the proper maintenance of municipal waste sites in developing nations. This study integrates natural electromagnetic (EM) field and geoelectrical sounding methods to assess the leachate’s pathways in the near-surface layers and groundwater system in and around an active dumpsite. Five natural EM traverses were obtained in varying orientations using PQWT-TC 150 model. Fifteen vertical electrical sounding (VES) data points were randomly occupied using SAS 4000 ABEM resistivity meter. The two techniques revealed some intercalations of conductive and resistive media in the study area. The conductive media are composed of mixtures of leachates into clay and groundwater units, thereby creating zones of very low electrical potential differences from the surface to a depth beyond 30 m. A zone of leachate-aquifer’s interphase exists between the third layer and the fourth layer. The directions of the fluid flow are in the S–N and SE–NW trends, which could be linked to the fault towards the northwestern part of the study area. The fluid dynamics, however, justified the reason for the thick conductive materials being mapped at the northwestern and northern parts of the study area.
Evaluation of F3S4-m loaded liposomes as anti-AChE and its cytotoxic activity in PC12 and HMC3 cells
Authors: Camarillo López Raúl Horacio , Fragoso Morales Leticia Guadalupe , Delgado Cárdenas Lilia Fernanda , Rivera Antonio Astrid Mayleth , Corea Mónica , Santos Macías Juan Israel , Olvera Valdez Marycruz , Rosales Hernández Martha Cecilia 
Published: November 2023

AbstractThe current research discusses the loaded of F3S4-m compound reported with multitarget activity acting as an inhibitor of acetylcholinesterase (AChE), beta-secretase 1 (BACE1), and amyloid beta (Aβ) aggregation. Despite great effort has been done to have a compound to treat Alzheimer’s disease (AD) and not only its symptomatology, nowadays there is not an effective compound in the market yet. Several synthetized compounds reported having a good activity in vitro study turned out not having it in vivo, it is believed that many of them are not able to reach the brain due to low biodisponibility, besides many of them have charged chemicals groups or tertiary amines, which have been substrates of deaminases enzymes. Therefore, the use of liposomes results an interesting strategy to deliver this kind of compounds to the brain. Then in this work it is proposed the use flexible liposomes made from phosphatidylcholine (PC) and cholesterol (Chol) to encapsulate the F3S4-m compound and evaluate its inhibitory activity against AChE. The results showed that empty liposomes particle size is influenced by the content of cholesterol in their membranes being larger for those containing 20% of cholesterol than those with 10%. The toxicity of F3S4-m loaded liposomes in PC12 cells was also evaluated employing the 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide assay (MTT). The results showed that F3S4-m loaded liposomes can inhibit the enzymatic activity of AChE, but the concentration of encapsulated F3S4-m needed to inhibit AChE was 2-times higher than what was previously reported in solution.
Graphical abstract
Evidence pyramid and artificial intelligence: a metamorphosis of clinical research
Authors: Bellini Valentina , Ori Enrico , Coccolini Federico , Bignami Elena 
Published: November 2023

AbstractWe are in the era of disruption. New technologies are all around us and they change our professional and non-professional life very quickly. Evidence-based medicine is changing accordingly. We propose a new version of the evidence pyramid that evolves through the changes of our novel perspective. New technologies are manipulating the pyramid, revealing us unexpected dimensions, and shaping it into a more complex form. From a traditional two-dimensional pyramid, we move on to a three-dimensional one, where the third dimension is represented by the research efforts to go up to the next step. Legal, ethical, educational and cost-effectiveness issues are some of the major current barriers to manage and remove from accessing a secure and daily routine use of these intelligent tools. An additional element, represented by the volume of the step, highlighting the impact in clinical practice of each level of the pyramid, is added creating the fourth new version of evidence pyramid.
Research trends in mental health problems of children and adolescents during the COVID-19 pandemic: A bibliometric and visualization analysis
Authors: Fu Mengxue , Lin Qin , Wu Jijun , Li Pan , Meng Lingyao , Liu Linfeng 
Published: November 2023

Abstract
COVID-19’s impact on children and adolescents’ mental health has heightened global focus, leading to analysis with bibliometric and visualization tools of related studies in the Web of Science™ database from 2020 to 2023. In total, there are 5,189 studies authored by 27,102 researchers from 147 countries and significantly involving 6,926 institutions. These studies are covered by 1,246 journals. Depression, anxiety, and stress are currently well-developed and important research areas and will continue to be a priority and hot topic for further exploration and discussion in the academic research field in the future. However, certain topics, such as child maltreatment, need to be reassessed in terms of their importance. Additionally, emerging areas like telemedicine and vaccine hesitancy have emerged. Fundamental aspects such as COVID-19, family, and parenting reflect the far-reaching impact of the pandemic. Given that public health emergencies may affect the mental health of children and adolescents, it is particularly important to establish specialized response mechanisms. In addition, strengthened interdisciplinary and intersectoral cooperation focusing on the mental health of children and adolescents from vulnerable groups is crucial to ensure their healthy development and promote long-term social stability and scientific and technological progress.