bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why Indirect Harms do not Support Social Robot Rights
Authors: Sweeney Paula 
Published: March 2022

AbstractThere is growing evidence to support the claim that we react differently to robots than we do to other objects. In particular, we react differently to robots with which we have some form of social interaction. In this paper I critically assess the claim that, due to our tendency to become emotionally attached to social robots, permitting their harm may be damaging for society and as such we should consider introducing legislation to grant social robots rights and protect them from harm. I conclude that there is little evidence to support this claim and that legislation in this area would restrict progress in areas of social care where social robots are a potentially valuable resource.
Engaging communities to prepare for natural hazards: a conceptual model
Authors: Johnston Kim A. , Taylor Maureen , Ryan Barbara 
Published: March 2022

AbstractNatural hazard preparation by communities reduces disaster-induced physical health problems and adverse experiences, lowers potential for post-traumatic stress disorders, and aids faster recovery. However, approaches to community engagement for preparedness vary widely leaving those responsible confused and often overwhelmed. This study builds on natural hazards behavior, community development, participatory, and codesign research to understand current community engagement approaches in an Australian context. Key principles for engaging communities were operationalized from document analysis and interviews with 30 community engagement practitioners from 25 Australian emergency management agencies. A thematic analysis of the agency documents and interviews led to a visualization of the pathway to community-led preparedness with the iterative community-centered engagement model for preparedness. The model reflects both current practice and aspirations. It contributes theoretically to a collaborative community-led engagement approach for risk personalization and protective action by highlighting the need to develop a deep understanding of the specific features of local communities. The model maps a pathway through different levels of community engagement toward the ultimate aim of a community-led approach to natural hazards preparation. It recognizes the changing circumstances and the situation of communities within their environment, and the barriers and enablers to support community-led preparedness. The model is significant in that it delivers a practical framework for engagement practitioners to build capacity in their communities and support their local communities to prepare for natural hazards and build relational capital for longer-term resilience.
Pharmacoproteomics of Brain Barrier Transporters and Substrate Design for the Brain Targeted Drug Delivery
Authors: Huttunen Kristiina M. , Terasaki Tetsuya , Urtti Arto , Montaser Ahmed B. , Uchida Yasuo 
Published: March 2022

AbstractOne of the major reasons why central nervous system (CNS)-drug development has been challenging in the past, is the barriers that prevent substances entering from the blood circulation into the brain. These barriers include the blood-brain barrier (BBB), blood-spinal cord barrier (BSCB), blood-cerebrospinal fluid barrier (BCSFB), and blood-arachnoid barrier (BAB), and they differ from each other in their transporter protein expression and function as well as among the species. The quantitative expression profiles of the transporters in the CNS-barriers have been recently revealed, and in this review, it is described how they affect the pharmacokinetics of compounds and how these expression differences can be taken into account in the prediction of brain drug disposition in humans, an approach called pharmacoproteomics. In recent years, also structural biology and computational resources have progressed remarkably, enabling a detailed understanding of the dynamic processes of transporters. Molecular dynamics simulations (MDS) are currently used commonly to reveal the conformational changes of the transporters and to find the interactions between the substrates and the protein during the binding, translocation in the transporter cavity, and release of the substrate on the other side of the membrane. The computational advancements have also aided in the rational design of transporter-utilizing compounds, including prodrugs that can be actively transported without losing potency towards the pharmacological target. In this review, the state-of-art of these approaches will be also discussed to give insights into the transporter-mediated drug delivery to the CNS.
Affective Polarization: Over Time, Through the Generations, and During the Lifespan
Authors: Phillips Joseph 
Published: March 2022

AbstractThe continual rise of affective polarization in the United States harms trust in democratic institutions. Scholars cite processes of ideological and social sorting of the partisan coalitions in the electorate as contributing to the rise of affective polarization, but how do these processes relate to one another? Most scholarship implicitly assumes period effects—that people change their feelings toward the parties uniformly and contemporaneously as they sort. However, it is also possible that sorting and affective polarization link with one another as a function of age or cohort effects. In this paper, I estimate age, period and cohort effects on affective polarization, partisan strength, and ideological sorting. I find that affective polarization increases over time, but also as people age. Age-related increases in affective polarization occur as a function of increases in partisan strength, and for Republicans, social sorting. Meanwhile, sorting only partially explains period effects. These effects combine such that each cohort enters the electorate more affectively polarized than the last.
The structure of mean equicontinuous group actions
Authors: Fuhrmann Gabriel , Gröger Maik , Lenz Daniel 
Published: March 2022

AbstractWe study mean equicontinuous actions of locally compact σ-compact amenable groups on compact metric spaces. In this setting, we establish the equivalence of mean equicontinuity and topo-isomorphy to the maximal equicontinuous factor and provide a characterization of mean equicontinuity of an action via properties of its product. This characterization enables us to show the equivalence of mean equicontinuity and the weaker notion of Besicovitch-mean equicontinuity in fairly high generality, including actions of abelian groups as well as minimal actions of general groups. In the minimal case, we further conclude that mean equicontinuity is equivalent to discrete spectrum with continuous eigenfunctions. Applications of our results yield a new class of non-abelian mean equicontinuous examples as well as a characterization of those extensions of mean equicontinuous actions which are still mean equicontinuous.
A Narrative Review of Pathogenetic and Histopathologic Aspects, Epidemiology, Classification Systems, and Disease Outcome Measures in Systemic Sclerosis
Authors: Lazzaroni Maria-Grazia , Piantoni Silvia , Angeli Fabrizio , Bertocchi Stefania , Franceschini Franco , Airò Paolo 
Published: March 2022

AbstractSystemic sclerosis (SSc) is a rare systemic autoimmune disease, characterized by the presence of three main actors: vasculopathy, immune activation, and fibrosis. This pathologic process is then translated in a clinical picture with great variability among different patients in terms of type of organ involvement, disease severity and prognosis. This heterogeneity is a main feature of SSc, which, in addition to the presence of early phases of the disease characterized by mild symptoms, can explain the high difficulty in establishing classification criteria, and in defining patients’ subsets and disease outcomes. The definition of disease outcomes is particularly relevant in the setting of clinical trials, where the aim is to provide reliable endpoints, able to measure the magnitude of the efficacy of a certain drug or intervention. For this reason, in the last years, increasing efforts have been done to design measures of disease activity, damage, severity, and response to treatment, often in the context of composite indexes. When considering disease outcomes, the experience of the patient represents a relevant and complementary aspect. The tools able to capture this experience, the patient-reported outcomes, have been increasingly used in the last years in clinical practice and in clinical trials, both as primary and secondary endpoints. This comprehensive narrative review on SSc will therefore cover pathogenetic and histopathologic aspects, epidemiology, classification systems, and disease outcome measures, in order to focus on issues that are relevant for clinical research and design of clinical trials.
A Mutant Variant of E2F4 Triggers Multifactorial Therapeutic Effects in 5xFAD Mice
Authors: López-Sánchez Noelia , Ramón-Landreau Morgan , Trujillo Cristina , Garrido-García Alberto , Frade José M. 
Published: March 2022

AbstractAlzheimer’s disease (AD) has a complex etiology, which requires a multifactorial approach for an efficient treatment. We have focused on E2 factor 4 (E2F4), a transcription factor that regulates cell quiescence and tissue homeostasis, controls gene networks affected in AD, and is upregulated in the brains of Alzheimer’s patients and of APPswe/PS1dE9 and 5xFAD transgenic mice. E2F4 contains an evolutionarily conserved Thr-motif that, when phosphorylated, modulates its activity, thus constituting a potential target for intervention. In this study, we generated a knock-in mouse strain with neuronal expression of a mouse E2F4 variant lacking this Thr-motif (E2F4DN), which was mated with 5xFAD mice. Here, we show that neuronal expression of E2F4DN in 5xFAD mice potentiates a transcriptional program consistent with the attenuation of the immune response and brain homeostasis. This correlates with reduced microgliosis and astrogliosis, modulation of amyloid-β peptide proteostasis, and blocking of neuronal tetraploidization. Moreover, E2F4DN prevents cognitive impairment and body weight loss, a known somatic alteration associated with AD. We also show that our finding is significant for AD, since E2F4 is expressed in cortical neurons from Alzheimer patients in association with Thr-specific phosphorylation, as evidenced by an anti-E2F4/anti-phosphoThr proximity ligation assay. We propose E2F4DN-based gene therapy as a promising multifactorial approach against AD.
Clinical impact of delays in the management of lung cancer patients in the last decade: systematic review
Authors: Guirado María , Fernández Martín Elena , Fernández Villar Alberto , Navarro Martín Arturo , Sánchez-Hernández Alfredo 
Published: March 2022

Abstract
Introduction
Due to the importance of lung cancer early treatment because of its severity and extent worldwide a systematic literature review was conducted about the impact of delays in waiting times on the disease prognosis.

Materials and Methods
We conducted a systematic search of observational studies (2010-2020) including adult patients diagnosed with lung cancer and reporting healthcare timelines and their clinical consequences.

Results
We included 38 articles containing data on waiting times and prognosis; only 31 articles linked this forecast to a specific waiting time. We identified 41 healthcare time intervals and found medians of 6-121 days from diagnosis to treatment and 4-19.5 days from primary care to specialist visit: 37.5% of the intervals indicated better prognosis with longer waiting times.

Conclusions
All articles emphasized that waiting times must be reduced to achieve good management and prognosis of lung cancer. Further prospective studies are needed on the relationship between waiting times and prognosis of lung cancer.
A Metric Version of Poincaré’s Theorem Concerning Biholomorphic Inequivalence of Domains
Authors: Lemmens Bas 
Published: March 2022

AbstractWe show that if$$Y_j\subset \mathbb {C}^{n_j}$$Yj⊂Cnjis a bounded strongly convex domain with$$C^3$$C3-boundary for$$j=1,\dots ,q$$j=1,⋯,q, and$$X_j\subset \mathbb {C}^{m_j}$$Xj⊂Cmjis a bounded convex domain for$$j=1,\ldots ,p$$j=1,…,p, then the product domain$$\prod _{j=1}^p X_j\subset \mathbb {C}^m$$∏j=1pXj⊂Cmcannot be isometrically embedded into$$\prod _{j=1}^q Y_j\subset \mathbb {C}^n$$∏j=1qYj⊂Cnunder the Kobayashi distance, if$$p>q$$p>q. This result generalises Poincaré’s theorem which says that there is no biholomorphic map from the polydisc onto the Euclidean ball in$$\mathbb {C}^n$$Cnfor$$n\ge 2$$n≥2. The method of proof only relies on the metric geometry of the spaces and will be derived from a more general result for products of proper geodesic metric spaces with the sup-metric. In fact, the main goal of the paper is to establish a general criterion, in terms of certain asymptotic geometric properties of the individual metric spaces, that yields an obstruction for the existence of an isometric embedding between product metric spaces.
Accurate Determination of Zr Isotopic Ratio in Zircons by Femtosecond Laser Ablation MC-ICP-MS with “Wet” Plasma Technique
Authors: Zhang Wen , Hu Zhaochu , Feng Lanping , Wang Zaicong , Liu Yongsheng , Feng Yantong , Liu Hong 
Published: March 2022

AbstractThis work evaluates the use of femtosecond laser ablation multiple collector inductively coupled plasma mass spectrometry (fs-LA-MC-ICP-MS) for Zr isotopic analysis in zircons. The mass fractionation caused by instrumental mass discrimination was corrected by a combination of internal correction using Sr as an internal standard (coming from a NIST SRM 987 standard solution) and external correction using a matrix-matched standard. Several important instrument parameters were investigated, such as the effect of the addition of N2 and “wet” plasma condition, the mass fractionation behaviors between Zr isotopes and Sr isotopes, the position effect in laser ablation cell and the effect of laser ablation parameters (laser spot size and energy density). The Zr isotope compositions of seven zircons (GJ-1, 91500, Plešovice, Rak-17, Paki, Aus and Mala) were determined by the developed fs-LA-MC-ICP-MS and thermal ionization mass spectrometry (TIMS). Our fs-LA-MC-ICP-MS results for Zr isotope compositions agreed with TIMS analyses within analytical uncertainties, indicating the presented method is a suitable tool to resolve isotopic zoning in natural zircons. The results also suggest that GJ-1, 91500, Plešovice, Paki, Aus and Mala had the homogenous Zr isotope composition and could be considered as the potential candidates for the Zr isotope analysis in zircons, except Rak-17 which presented the large Zr isotope variation.
Multiple-Stage Mineralization in the Huayangchuan U−REE−Mo−Cu−Fe Ore Belt of the Qinling Orogen, Central China: Geological and Re−Os Geochronological Constraints
Authors: Jiang Hongjun , Yang Chunsi , Wang Dequan , Zheng Hui , Li Jie , Chen Huayong 
Published: March 2022

AbstractThe Huayangchuan ore belt is located in the western segment of Xiaoqinling Orogen in the southern margin of the North China Craton (NCC), and hosts voluminous magmatism and significant U−REE−Mo−Cu−Fe polymetallic mineralization. However, geochronological framework of the various mineralization phases in this region is poorly understood. Here, we present new Re−Os isochron ages on magnetite from the Caotan Fe deposit (2 675 ± 410 Ma, MSWD = 0.55), and on pyrite from the Jialu REE deposit (2 127 ± 280 Ma, MSWD = 1.9) and Yuejiawa Cu deposit (418 ± 23 Ma, MSWD = 11.5), and Re−Os weighted average model age on pyrite from the Taoyuan Mo−U deposit (235 ± 14 Ma, MSWD = 0.17). These ages, combined with regional geology and mineralization ages from other deposits, suggest that mineralization in the Huayangchuan ore belt lasted from the Neoarchean to the Late Mesozoic. The mineralization corresponds to regional tectono-magmatic events, including the Neoar-chean alkali magmatism (REE mineralization), Paleoproterozoic plagioclase-amphibolite emplacement (Fe mineralization), Paleoproterozoic pegmatite magmatism (U mineralization), Paleozoic Shangdan oceanic slab subduction-related arc magmatism (Cu mineralization), Early Mesozoic Paleo-Tethys Ocean subduction-related arc magmatism (Mo−U mineralization), and Late Mesozoic Paleo-Pacific oceanic plate subduction direction change-related Mo(-Pb) mineralization. We proposed that the Huayang-chuan ore belt has undergone prolonged metallogenic evolution, and the magmatism and associated mineralization were controlled by regional geodynamic events.
Is acetamiprid really not that harmful to bumblebees (Apidae: Bombus spp.)?
Authors: Varga-Szilay Zsófia , Tóth Zoltán 
Published: March 2022

AbstractDue to recent changes in regulation, acetamiprid has become the only neonicotinoid that can be applied without restrictions and in open field cultivations in the EU from 2021. We provide an overview of the current knowledge on the effects of this insecticide on bumblebees and assessed whether available empirical evidence supports the claim that acetamiprid poses negligible risk to these pollinators. We found that there is limited data on the lethal and sublethal effects of this pesticide on bumblebees. While risk assessment results suggest that field-realistic concentrations of acetamiprid have minor acute and chronic toxicity, detrimental sublethal effects, including reduced reproductive output, have been observed when bumblebees were exposed to high doses of this insecticide. We propose that further research on the topic is warranted as the more extensive application of acetamiprid may lead to such high concentrations in the field.
Structure of Fejes Tóth cells in natural honey bee combs
Authors: Yang Shunhua , Gong Xueyang , Zhou Danyin , Zhang Xuan , Kuang Haiou , Dong Kun 
Published: March 2022

AbstractWe present an analysis of the structure of Fejes Tóth cells in the natural combs of the Chinese bee, Apis cerana cerana (Hymenoptera: Apidae), and the Italian bee, Apis mellifera ligustica (Hymenoptera: Apidae). The proportion of Fejes Tóth cells in the natural combs built by bee colonies was determined. Molds of Fejes Tóth cells and three-rhombus cells were used to measure various structural parameters, such as the diameter and depth of Fejes Tóth cells and three-rhombus cells. Both Chinese bees and Italian bees built an average of no more than 18% Fejes Tóth cells on natural combs. The dihedral angle of the two hexagonal planes at the bottom of the Fejes Tóth cells was significantly less than 120°. No significant differences in the diameter and depth of Fejes Tóth cells and three-rhombus cells were observed. The results of this study clarified the structural characteristics of Fejes Tóth cells in natural combs. These data will aid the manufacture of Fejes Tóth wax comb foundations specifically and the growth of the beekeeping industry more generally.
Genetic diversity and population genetic structure analysis of Apis mellifera subspecies in Algeria and Europe based on complementary sex determiner (CSD) gene
Authors: FRIDI Riad , TABET AOUL Nacera , CATAYS Guillaume , BASSO Benjamin , BIENEFELD Kaspar , GREGORC Aleš , VIGNAL Alain , CANALE-TABET Kamila 
Published: March 2022

AbstractIn honeybees, the mechanism of sex determination depends on genetic variation at the complementary sex determiner (CSD) locus, which has a large allelic diversity. In this study, we examined the population genetic structure and genetic diversity within the highly variable region (HVR) of CSD in five Apis mellifera subspecies, in addition to Buckfast and unknown mixed ancestry bees. We sequenced CSD in 329 drones, 146 from Algeria (A. m. intermissa and A. m. sahariensis subspecies) and 183 from Europe (A. m. ligustica, A. m. carnica, A. m. mellifera subspecies, Buckfast samples, and individuals of unknown mixed ancestry). A total of 119 nucleotide haplotypes were detected. These corresponded to 119 protein haplotypes, of which 81 were new. The analysis of these haplotypes showed that HVR diversity levels were comparable with those in other populations of honeybee worldwide. Paradoxically, this high level of diversity at the locus did not allow for a separation of the samples according to their subspecies origin, which suggested either an evolutionary convergence or a conservation of alleles across subspecies, and an absence of genetic drift. Our results can be used to provide more information about the CSD diversity to include in breeding programs of honeybee populations.
Structural derivatization strategies of natural phenols by semi-synthesis and total-synthesis
Authors: Lin Ding , Jiang Senze , Zhang Ailian , Wu Tong , Qian Yongchang , Shao Qingsong 
Published: March 2022

AbstractStructural derivatization of natural products has been a continuing and irreplaceable source of novel drug leads. Natural phenols are a broad category of natural products with wide pharmacological activity and have offered plenty of clinical drugs. However, the structural complexity and wide variety of natural phenols leads to the difficulty of structural derivatization. Skeleton analysis indicated most types of natural phenols can be structured by the combination and extension of three common fragments containing phenol, phenylpropanoid and benzoyl. Based on these fragments, the derivatization strategies of natural phenols were unified and comprehensively analyzed in this review. In addition to classical methods, advanced strategies with high selectivity, efficiency and practicality were emphasized. Total synthesis strategies of typical fragments such as stilbenes, chalcones and flavonoids were also covered and analyzed as the supplementary for supporting the diversity-oriented derivatization of natural phenols.
BLNet: Bidirectional learning network for point clouds
Authors: Han Wenkai , Wu Hai , Wen Chenglu , Wang Cheng , Li Xin 
Published: March 2022

AbstractThe key challenge in processing point clouds lies in the inherent lack of ordering and irregularity of the 3D points. By relying on perpoint multi-layer perceptions (MLPs), most existing point-based approaches only address the first issue yet ignore the second one. Directly convolving kernels with irregular points will result in loss of shape information. This paper introduces a novel point-based bidirectional learning network (BLNet) to analyze irregular 3D points. BLNet optimizes the learning of 3D points through two iterative operations: feature-guided point shifting and feature learning from shifted points, so as to minimise intra-class variances, leading to a more regular distribution. On the other hand, explicitly modeling point positions leads to a new feature encoding with increased structure-awareness. Then, an attention pooling unit selectively combines important features. This bidirectional learning alternately regularizes the point cloud and learns its geometric features, with these two procedures iteratively promoting each other for more effective feature learning. Experiments show that BLNet is able to learn deep point features robustly and efficiently, and outperforms the prior state-of-the-art on multiple challenging tasks.