bluuebunny/crossref_metadata_2025_split huggingface dataset:
DAC-HPP: deep attributed clustering with high-order proximity preserve
Authors: Berahmand Kamal , Li Yuefeng , Xu Yue 
Published: October 2023

AbstractAttributed graph clustering, the task of grouping nodes into communities using both graph structure and node attributes, is a fundamental problem in graph analysis. Recent approaches have utilized deep learning for node embedding followed by conventional clustering methods. However, these methods often suffer from the limitations of relying on the original network structure, which may be inadequate for clustering due to sparsity and noise, and using separate approaches that yield suboptimal embeddings for clustering. To address these limitations, we propose a novel method called Deep Attributed Clustering with High-order Proximity Preserve (DAC-HPP) for attributed graph clustering. DAC-HPP leverages an end-to-end deep clustering framework that integrates high-order proximities and fosters structural cohesiveness and attribute homogeneity. We introduce a modified Random Walk with Restart that captures k-order structural and attribute information, enabling the modelling of interactions between network structure and high-order proximities. A consensus matrix representation is constructed by combining diverse proximity measures, and a deep joint clustering approach is employed to leverage the complementary strengths of embedding and clustering. In summary, DAC-HPP offers a unique solution for attributed graph clustering by incorporating high-order proximities and employing an end-to-end deep clustering framework. Extensive experiments demonstrate its effectiveness, showcasing its superiority over existing methods. Evaluation on synthetic and real networks demonstrates that DAC-HPP outperforms seven state-of-the-art approaches, confirming its potential for advancing attributed graph clustering research.
The effect of individual drilling sleeves on the precision of coronectomy tooth sections. An in vitro 3D-printed jaw model experiment
Authors: Pacheco Ana , Soós Balázs , Lempel Edina , Simon Imre , Maróti Péter , Möhlhenrich Stephan Christian , Szalma József 
Published: October 2023

AbstractObjectivesThe aim of this in vitro study was to evaluate the effect of a 3D-printed drill sleeve (DS) on the precision and duration of coronectomy sections.Materials and methodsThirty-six trainees and oral surgeons performed 72 coronectomy cuts in a 3D-printed, entirely symmetric mandible model. Coronectomy was performed freehand (FH) on one side and with a DS on the other side. The occurrence of “too superficial” (≥ 4 mm unprepared lingual tooth tissue) and “too deep” (drilling ≥ 1 mm deeper as tooth contour) cuts and sectioning times were registered.ResultsIn 7 cases, the sections were “too deep” with FH, while none with DS (OR: 18.56; 95%CI: 1.02–338.5; p = 0.048). The deviation between virtually planned and real cut depths was significantly greater in the FH group (1.91 ± 1.62 mm) than in DS group (1.21 ± 0.72 mm) (p < 0.001). A total of 18 “too superficial” buccolingual sections occurred with FH, while 8 cases with DS (OR: 3.50; 95%CI: 1.26–9.72; p = 0.016). Suboptimal sections did not correlate with experience (p = 0.983; p = 0.697). Shortest, suboptimal drillings were most frequently seen distolingually (OR: 6.76; 95% CI: 1.57–29.07; p = 0.01). In the inexperienced group, sectioning time was significantly longer with FH (158.95 ± 125.61 s vs. 106.92 ± 100.79 s; p = 0.038).ConclusionsThe DS effectively reduced tooth sectioning times by less experienced colleagues. Independently from the level of experience, the use of DS obviated the need for any preparation outside the lingual tooth contour and significantly decreased the occurrence of “too superficial” cuts, leaving thinner unprepared residual tooth tissue lingually.Clinical relevanceCoronectomy sections may result in lingual hard and soft tissue injury with the possibility of damaging the lingual nerve. The precision of the buccolingual depth-control can be improved, while surgical time can be reduced when applying a drilling sleeve.
Cyclic Action Graphs for goal recognition problems with inaccurately initialised fluents
Authors: Harman Helen , Simoens Pieter 
Published: October 2023

AbstractGoal recognisers attempt to infer an agent’s intentions from a sequence of observed actions. This is an important component of intelligent systems that aim to assist or thwart actors; however, there are many challenges to overcome. For example, the initial state of the environment could be partially unknown, and agents can act suboptimally and observations could be missing. Approaches that adapt classical planning techniques to goal recognition have previously been proposed, but, generally, they assume the initial world state is accurately defined. In this paper, a state is inaccurate if any fluent’s value is unknown or incorrect. Our aim is to develop a goal recognition approach that is as accurate as the current state-of-the-art algorithms and whose accuracy does not deteriorate when the initial state is inaccurately defined. To cope with this complication, we propose solving goal recognition problems by means of an Action Graph. An Action Graph models the dependencies, i.e. order constraints, between all actions rather than just actions within a plan. Leaf nodes correspond to actions and are connected to their dependencies via operator nodes. After generating an Action Graph, the graph’s nodes are labelled with their distance from each hypothesis goal. This distance is based on the number and type of nodes traversed to reach the node in question from an action node that results in the goal state being reached. For each observation, the goal probabilities are then updated based on either the distance the observed action’s node is from each goal or the change in distance. Our experimental results, for 15 different domains, demonstrate that our approach is robust to inaccuracies within the defined initial state.
Generalized theory for measuring efficiency of individuals and groups
Authors: Zelenyuk Valentin , Panchenko Valentyn 
Published: October 2023

AbstractWe present a cohesive generalized framework for an aggregation of the Nerlovian profit indicators and of the directional distance functions, frequently used in productivity and efficiency analysis in operations research and econometrics (e.g., via data envelopment analysis or stochastic frontier analysis). Our theoretical framework allows for greater flexibility than previous approaches, and embraces many other approaches as special cases. In the proposed aggregation scheme, the aggregation weights are mathematically derived from assumptions made about the optimization behavior and about the chosen directions of measurement. We also discuss various interesting special cases of popular directions, including the case of Debreu-Farrell-type efficiency.
Targeting estrogen receptor signaling for treating heart failure
Authors: Qian Chenyue , Liu Jingjin , Liu Huadong 
Published: October 2023

AbstractHeart failure (HF) is a significant public health problem worldwide. It has long been noted that premenopausal women, compared to postmenopausal women and men, have lower rates for developing this disease, as well as subsequent morbidity and mortality. This difference has been attributed to estrogen playing a cardioprotective role in these women, though exactly how it does so remains unclear. In this review, we examine the presence of estrogen receptors within the cardiovascular system, as well as the role they play behind the cardioprotective effect attributed to estrogen. Furthermore, we highlight the underlying mechanisms behind their alleviation of HF, as well as possible treatment approaches, such as hormone replacement therapy and exercise regimens, to manipulate these mechanisms in treating and preventing HF.
Barriers to the Full Participation of Girls in Robotics: A Case Study of a South African Community of Practice
Authors: Dirsuweit Teresa , Gouws Patricia 
Published: October 2023

AbstractThe lack of participation of girls in programming robotics is well documented in the international literature on the subject. The Inspired Towards Science, Engineering and Technology (I-SET) is a community engagement project that promotes science engagement in predominantly disadvantaged communities. In this paper, we present the findings of an action research project. The primary objective of this research project is to monitor and improve this community of practice. This research paper aims to explore whether girls encounter barriers to full participation in robotics competition teams. While educational parity has been reached in STEMI-related subjects at the school level, young women are far less likely to select STEMI fields at the tertiary level compared to young men. The I-SET community of practice is well-situated to promote STEMI fields to girls from an early age. Barriers to their full participation in the I-SET community of practice included male dominance in the everyday activities and speech acts of the teams; a lack of technohabitus; and alienation. Broader constructions of gender identity in schools and the communities that they serve presented a major challenge to coaches keen to actively include girls. These challenges were further compounded by gendered divisions of labour that left little time for girls (particularly those from poorer backgrounds) to practice.
Towards a platform quantitative systems pharmacology (QSP) model for preclinical to clinical translation of antibody drug conjugates (ADCs)
Authors: Scheuher Bruna , Ghusinga Khem Raj , McGirr Kimiko , Nowak Maksymilian , Panday Sheetal , Apgar Joshua , Subramanian Kalyanasundaram , Betts Alison 
Published: October 2023

AbstractA next generation multiscale quantitative systems pharmacology (QSP) model for antibody drug conjugates (ADCs) is presented, for preclinical to clinical translation of ADC efficacy. Two HER2 ADCs (trastuzumab-DM1 and trastuzumab-DXd) were used for model development, calibration, and validation. The model integrates drug specific experimental data including in vitro cellular disposition data, pharmacokinetic (PK) and tumor growth inhibition (TGI) data for T-DM1 and T-DXd, as well as system specific data such as properties of HER2, tumor growth rates, and volumes. The model incorporates mechanistic detail at the intracellular level, to account for different mechanisms of ADC processing and payload release. It describes the disposition of the ADC, antibody, and payload inside and outside of the tumor, including binding to off-tumor, on-target sinks. The resulting multiscale PK model predicts plasma and tumor concentrations of ADC and payload. Tumor payload concentrations predicted by the model were linked to a TGI model and used to describe responses following ADC administration to xenograft mice. The model was translated to humans and virtual clinical trial simulations were performed that successfully predicted progression free survival response for T-DM1 and T-DXd for the treatment of HER2+ metastatic breast cancer, including differential efficacy based upon HER2 expression status. In conclusion, the presented model is a step toward a platform QSP model and strategy for ADCs, integrating multiple types of data and knowledge to predict ADC efficacy. The model has potential application to facilitate ADC design, lead candidate selection, and clinical dosing schedule optimization.
Energy-Constrained Random Walk with Boundary Replenishment
Authors: Wade Andrew , Grinfeld Michael 
Published: October 2023

AbstractWe study an energy-constrained random walker on a length-Ninterval of the one-dimensional integer lattice, with boundary reflection. The walker consumes one unit of energy for every step taken in the interior, and energy is replenished up to a capacity of Mon each boundary visit. We establish largeN, Mdistributional asymptotics for the lifetime of the walker, i.e., the first time at which the walker runs out of energy while in the interior. Three phases are exhibited. When$$M \ll N^2$$M≪N2(energy is scarce), we show that there is anM-scale limit distribution related to a Darling–Mandelbrot law, while when$$M \gg N^2$$M≫N2(energy is plentiful) we show that there is an exponential limit distribution on a stretched-exponential scale. In the critical case where$$M / N^2 \rightarrow \rho \in (0,\infty )$$M/N2→ρ∈(0,∞), we show that there is anM-scale limit in terms of an infinitely-divisible distribution expressed via certain theta functions.
Class I HDAC inhibition reduces DNA damage repair capacity of MYC-amplified medulloblastoma cells
Authors: Vollmer Johanna , Ecker Jonas , Hielscher Thomas , Valinciute Gintvile , Ridinger Johannes , Jamaladdin Nora , Peterziel Heike , van Tilburg Cornelis M. , Oehme Ina , Witt Olaf , Milde Till 
Published: October 2023

Abstract
Purpose
MYC-driven Group 3 medulloblastoma (MB) (subtype II) is a highly aggressive childhood brain tumor. Sensitivity of MYC-driven MB to class I histone deacetylase inhibitors (HDACi) has been previously demonstrated in vitro and in vivo. In this study we characterize the transcriptional effects of class I HDACi in MYC-driven MB and explore beneficial drug combinations.

Methods
MYC-amplified Group 3 MB cells (HD-MB03) were treated with class I HDACi entinostat. Changes in the gene expression profile were quantified on a microarray. Bioinformatic assessment led to the identification of pathways affected by entinostat treatment. Five drugs interfering with these pathways (olaparib, idasanutlin, ribociclib, selinexor, vinblastine) were tested for synergy with entinostat in WST-8 metabolic activity assays in a 5 × 5 combination matrix design. Synergy was validated in cell count and flow cytometry experiments. The effect of entinostat and olaparib on DNA damage was evaluated by γH2A.X quantification in immunoblotting, fluorescence microscopy and flow cytometry.

Results
Entinostat treatment changed the expression of genes involved in 22 pathways, including downregulation of DNA damage response. The PARP1 inhibitors olaparib and pamiparib showed synergy with entinostat selectively in MYC-amplified MB cells, leading to increased cell death, decreased viability and increased formation of double strand breaks, as well as increased sensitivity to additional induction of DNA damage by doxorubicin. Non-MYC-amplified MB cells and normal human fibroblasts were not susceptible to this triple treatment.

Conclusion
Our study identifies the combination of entinostat with olaparib as a new potential therapeutic approach for MYC-driven Group 3 MB.
Content validity of the EQ-5D-5L with skin irritation and self-confidence bolt-ons in patients with atopic dermatitis: a qualitative think-aloud study
Authors: Szlávicz Eszter , Szabó Ákos , Kinyó Ágnes , Szeiffert Anita , Bancsók Tamás , Brodszky Valentin , Gyulai Rolland , Rencz Fanni 
Published: October 2023

Abstract
Objectives
Two bolt-on dimensions (skin irritation, self-confidence) have been developed for the EQ-5D-5L to improve its content validity and responsiveness in psoriasis. However, the two bolt-ons are not strictly psoriasis-specific and are potentially relevant in other skin conditions. This study aims to explore the content validity of the EQ-5D-5L with two bolt-ons in patients with atopic dermatitis (AD).

Methods
In 2021–2022, qualitative, semi-structured interviews were conducted with 20 adult AD patients at a university dermatology clinic in Hungary. We aimed for a heterogeneous sample in terms of age, gender, education and disease severity. Patients completed the EQ-5D-5L with two bolt-ons using a think-aloud protocol. Probing questions were posed to investigate item relevance, potential conceptual overlaps, missing concepts and the appropriateness of the recall period. Interview transcripts were subjected to thematic analysis.

Results
The EQ-5D-5L with the two bolt-ons covered the most important aspects of health-related quality of life in AD patients. Most patients found both the skin irritation and self-confidence bolt-ons relevant. Fifteen potential missing concepts were identified, but only two (social relationships, judgement by others) were identified by more than one patient. A smaller conceptual overlap was found between the skin irritation and pain/discomfort dimensions in 7 patients (35%). Half the patients expressed a preference for a recall period of 1 week rather than of ‘today’.

Conclusions
The EQ-5D-5L with skin irritation and self-confidence bolt-ons showed good relevance, comprehensiveness and comprehensibility in patients with AD. However, in terms of comprehensiveness, social relationships and judgement by others (stigma) may be missing from the questionnaire.
When do firms deliver on the jobs they promise in return for state aid?
Authors: Dong Qingkai , Raghunandan Aneesh , Rajgopal Shivaram 
Published: October 2023

AbstractUS state governments frequently provide firms with targeted subsidies. In exchange, recipients promise to create or retain a certain number of jobs in the subsidizing state. Using novel hand-collected data, we address three questions: (i) the extent to which firms meet job creation targets promised in their applications, (ii) the factors that determine which firms meet the targets, and (iii) the benefits to firms from meeting those targets. We find that 63% of subsidies awarded to publicly traded U.S. firms between 2004 and 2015 meet their promised job creation targets. Firms with poorer labor practices are less likely to meet their targets, as are politically connected firms that receive subsidies in election years. Conversely, promised job targets are also more likely to be met for subsidies accompanied by government press releases but less likely to be met for subsidies accompanied by firm press releases; the latter likely reflects the fact that firms put out press releases for larger subsidies with more ambitious job targets. In terms of consequences, firms that meet job targets are more successful at obtaining subsequent subsidies both in and out of subsidizing states. However, while firms’ success in meeting job targets is associated with an uptick in positive media coverage, this does not flow through to ESG ratings, even on scores specific to community impact. Our results should be of interest to both academics and policymakers interested in the design of state-level economic incentives.
Venus Evolution Through Time: Key Science Questions, Selected Mission Concepts and Future Investigations
Authors: Widemann Thomas , Smrekar Suzanne E. , Garvin James B. , Straume-Lindner Anne Grete , Ocampo Adriana C. , Schulte Mitchell D. , Voirin Thomas , Hensley Scott , Dyar M. Darby , Whitten Jennifer L. , Nunes Daniel C. , Getty Stephanie A. , Arney Giada N. , Johnson Natasha M. , Kohler Erika , Spohn Tilman , O’Rourke Joseph G. , Wilson Colin F. , Way Michael J. , Ostberg Colby , Westall Frances , Höning Dennis , Jacobson Seth , Salvador Arnaud , Avice Guillaume , Breuer Doris , Carter Lynn , Gilmore Martha S. , Ghail Richard , Helbert Jörn , Byrne Paul , Santos Alison R. , Herrick Robert R. , Izenberg Noam , Marcq Emmanuel , Rolf Tobias , Weller Matt , Gillmann Cedric , Korablev Oleg , Zelenyi Lev , Zasova Ludmila , Gorinov Dmitry , Seth Gaurav , Rao C. V. Narasimha , Desai Nilesh 
Published: October 2023

AbstractIn this work we discuss various selected mission concepts addressing Venus evolution through time. More specifically, we address investigations and payload instrument concepts supporting scientific goals and open questions presented in the companion articles of this volume. Also included are their related investigations (observations & modeling) and discussion of which measurements and future data products are needed to better constrain Venus’ atmosphere, climate, surface, interior and habitability evolution through time. A new fleet of Venus missions has been selected, and new mission concepts will continue to be considered for future selections. Missions under development include radar-equipped ESA-led EnVision M5 orbiter mission (European Space Agency 2021), NASA-JPL’s VERITAS orbiter mission (Smrekar et al. 2022a), NASA-GSFC’s DAVINCI entry probe/flyby mission (Garvin et al. 2022a). The data acquired with the VERITAS, DAVINCI, and EnVision from the end of this decade will fundamentally improve our understanding of the planet’s long term history, current activity and evolutionary path. We further describe future mission concepts and measurements beyond the current framework of selected missions, as well as the synergies between these mission concepts, ground-based and space-based observatories and facilities, laboratory measurements, and future algorithmic or modeling activities that pave the way for the development of a Venus program that extends into the 2040s (Wilson et al. 2022).
Normativity of meaning: An inferentialist argument
Authors: Shimamura Shuhei , Tiisala Tuomo 
Published: October 2023

AbstractThis paper presents a new argument to defend the normativity of meaning, specifically the thesis that there are no meanings without norms. The argument starts from the observation inferentialists have emphasized that incompatibility relations between sentences are a necessary part of meaning as it is understood. We motivate this approach by showing that the standard normativist strategy in the literature, which is developed in terms of veridical reference that may swing free from the speaker’s understanding, violates the ought-implies-can principle, but ours does not. In addition, our approach is superior because, unlike the dominant approach, it can be extended from declarative sentences to non-representational uses of language. In this paper, however, we only formulate the argument for the base case that involves incompatibility relations between declarative sentences. The goal is not to derive norms from something that is not normative, but to explicate the distinctive type of normativity that is built into meaning as it is understood by language-users. The explication proceeds in two steps. (1) For any sentence s a speaker understands, there is another sentence s’ that is (and is understood by the speaker as) incompatible with s. (2) In virtue of understanding this incompatibility of meanings, she ought not to be committed to both s and s’. This prohibition is not derived from instrumental practical reason, nor is it based on representational correctness, but its source is the incompatibility of meanings.
Evaluation of the diet of Didelphis virginiana in an urban area using stable isotopes
Authors: Glebskiy Yury , Negrete-González Marcela , Zambrano Luis , Cano-Santana Zenón 
Published: October 2023

AbstractHuman food waste is an essential resource for many animals that inhabit urban ecosystems and has allowed some species to proliferate in cities. Virginia Opossums (Didelphis virginiana) are considered a good example of this process; however, the real role of waste in this animal’s diet is still unclear. Therefore, this study aims to compare opossums’ diet from urban and natural areas in Mexico City. Opossums were live-trapped, and samples of hair and blood were taken to perform a stable isotope analysis of C and N. The results show that opossums from natural and urban areas, in general, have a very similar isotopic niche; however, one natural location fell out of this pattern, and here opossums based their diet on C3 plants. This suggests that opossum diets have a similar carbon source and occupy a similar trophic position in urban and natural areas. However, there is a separation between opossums in urban and natural areas, not so much in the isotopic niche, but in the feeding habits since natural areas, opossums prefer to feed in their distribution area despite the availability of better quality food in the nearby urban areas.