bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mindfulness and emotion: a five-level analysis
Authors: Ashkanasy Neal M. , Kay Adam A. 
Published: June 2023

AbstractBased on the five-level model of emotions in the workplace (FLMEW), we present an analysis of emotion and mindfulness at work. The five levels of emotion are: (1) temporal variations in emotion at the within-person level of analysis, which relate to state mindfulness; (2) stable individual differences in experiencing and expressing emotions at the between-persons level, which correspond with trait mindfulness; (3) perceiving and communicating emotions in dyadic relationships at the inter-personal level, reflecting interpersonal mindfulness; (4) emotional processes and leadership at the group level, which are associated with team mindfulness; and (5) and emotional culture and climate at the organizational level, which relate to organizational mindfulness. We provide a definition of mindfulness at each level. We argue that mindfulness tends to be associated with more positive and less negative affective experience at each level. We highlight practical implications and suggest future research at each level.
Sharing citizenship: economic competition, cultural threat, and immigration preferences in the rentier state
Authors: Shockley Bethany , Gengler Justin J. 
Published: June 2023

AbstractThis paper proposes a framework of immigrant acceptance that accounts for both group-level and individual-level characteristics and conducts a novel test of the cultural threat hypothesis. Immigrants’ individual traits are conceptualized as secondary to their identity-based claims. The empirical strategy leverages a set of survey experiments conducted in the extreme rentier state of Qatar, where naturalization poses tangible negative financial consequences for citizens by expanding the pool of government welfare beneficiaries. Findings demonstrate that citizens are willing to share citizenship with a narrow ethnic in-group while individual cultural and economic attributes are lower-order determinants influencing economically vulnerable citizens. Importantly, answers to direct survey measures are at odds with these findings, demonstrating their susceptibility to social desirability bias.
Shifting perspectives: outlooks on ageing in place in the COVID-19 era
Authors: Greer Valerie , Canham Sarah L. , Hong Andy , Caylor Natalie , Van Natter Jessica 
Published: June 2023

AbstractGiven the significant impact the pandemic has had on the lives of older adults, research is needed to understand how conceptions of ageing in place and attitudes about living independently may have shifted during a time marked by significant environmental change. There is a gap in knowledge about how older adults characterise positive support for ageing in place in response to rapid changes in physical and social environments, including home confinement, reduced social interaction and greater barriers to resources. To fill this knowledge gap, we conducted a photovoice study with community-dwelling older adults (N = 17) to understand how their experiences of adapting to pandemic conditions influenced their attitudes and behaviours towards ageing in place. We organised data into five themes: (1) the importance of proximity to family and loved ones; (2) the ability to balance safety and social connectivity; (3) an increased appreciation for the outdoors; (4) new platforms for learning; and (5) the role of inner belief systems. Adapting attitudes, expectations and behaviours through physical, social and personal domains highlights the role of change within an ecological framework of ageing. Findings contribute to the ongoing discourse about ageing in place within an ecological framework by identifying changes that older adults make at individual, interpersonal and system levels. This paper adds to the literature by identifying characteristics of ageing in place that community-dwelling older adults prioritise in the pandemic era. The paper also contributes to a growing body of research that elicits participation and offers the co-creation of knowledge with older adults. Lessons learned from the pandemic will continue to shape and inform future policies on ageing in place.
Natural frequency prediction of the 3-RPS parallel manipulator using the substructure synthesis technology
Authors: Gong Yaping , Lou Junbin 
Published: June 2023

AbstractThis paper proposed an elastodynamic modeling method combined with independent displacement coordinates and substructure synthesis technology. Firstly, the connecting rod was discretized, and the elastodynamic control equation for each element was established. The multipoint constraint element theory, linear algebra, and singularity analysis were used to identify the globally independent displacement coordinates of the manipulator. On this basis, the elastodynamic model using the substructure synthesis for the 3-PRS parallel manipulator (PM) was developed, with its natural frequencies distribution in the regular workspace discussed. The comparison with the finite-element results showed that the maximum error of the first three-order natural frequencies was within 1.03%, which verified the correctness of the analytical model. The proposed elastodynamic model included all the kinematic constraints of the manipulator without increasing the Lagrangian multiplier. The method is computationally efficient and assesses the dynamic behaviors of the mechanism at the predesign phase.
Seed dormancy break and germination by a rare relict of the Würmian glaciation in the Iberian Peninsula: Euonymus latifolius (Celastraceae)
Authors: Santiago A. , Herranz J. M. , Ferrandis P. 
Published: June 2023

AbstractSouthern European peninsulas have repeatedly played notable roles as refuges in the natural history of flora during periods of glaciation. Euonymus latifolius (Celastraceae) is a relict species from the last Würmian glaciation in the Iberian Peninsula. It still lives with isolated populations in favourable, cool mountainous microhabitats, being an extremely rare, critically endangered species. These Iberian populations are often high-priority targets for conservation due to their long-term persistence and unique evolutionary trajectory. Previously, it has not been feasible to promote significant programmes for reintroduction and/or population reinforcement of this singular plant species due to the great difficulties of conventional propagation. In this study, we analysed the effects of temperature, light and gibberellic acid (GA3) on the germination responses of E. latifolius to develop an effective protocol for seed germination as a main outcome. The results are coherent with the climatic temperature conditions recorded broadly in the Iberian Peninsula in the past and in the current refuge locations for the taxon. The germination responses of E. latifolius are compatible with those of seeds with intermediate physiological dormancy. In particular, the seeds required a 10-week warm period (20/7°C + 15/4°C) followed by 20 weeks of cold period (5 + 1.5°C) to break dormancy and achieve germination values over 90%. GA3 also promoted germination (80%). Therefore, we developed the first effective protocol for promoting E. latifolius seed germination and, thus, sexual propagation, to facilitate urgent ex situ actions in the current climate change context.
Cluster-based ensemble learning model for improving sentiment classification of Arabic documents
Authors: Al Mahmoud Rana Husni , Hammo Bassam H. , Faris Hossam 
Published: June 2023

AbstractThis article reports on designing and implementing a multiclass sentiment classification approach to handle the imbalanced class distribution of Arabic documents. The proposed approach, sentiment classification of Arabic documents (SCArD), combines the advantages of a clustering-based undersampling (CBUS) method and an ensemble learning model to aid machine learning (ML) classifiers in building accurate models against highly imbalanced datasets. The CBUS method applies two standard clustering algorithms: K-means and expectation–maximization, to balance the ratio between the major and the minor classes by decreasing the number of the major class instances and maintaining the number of the minor class instances at the cluster level. The merits of the proposed approach are that it does not remove the majority class instances from the dataset nor injects the dataset with artificial minority class instances. The resulting balanced datasets are used to train two ML classifiers, random forest and updateable Naïve Bayes, to develop prediction data models. The best prediction data models are selected based on F1-score rates. We applied two techniques to test SCArD and generate new predictions from the imbalanced test dataset. The first technique uses the best prediction data models. The second technique uses the majority voting ensemble learning model, which combines the best prediction data models to generate the final predictions. The experimental results showed that SCArD is promising and outperformed the other comparative classification models based on the F1-score rates.
The future of intelligence in the Universe: a call for humility
Authors: Friederich Simon , Wenmackers Sylvia 
Published: June 2023

AbstractRecent astrophysical findings suggest that the era during which the Universe is habitable has just begun. This raises the question whether the entire Universe may at some point in the future be filled with intelligent life. Hanson et al. (2021, The Astrophysical Journal922, 182) argued that we can be confident that the Universe will, by cosmic standards, soon be dominated by imperialist civilizations which expand rapidly, persist long and make drastic changes to the volumes they control. The main motivation for this ‘grabby civilizations’ hypothesis is that it supposedly provides a good explanation of why we are so early in cosmic history. In this paper, we criticize this motivation and suggest that it fails, for reasons analogous to why the notorious Doomsday argument fails. In the last part of the paper we broaden our discussion and argue that it may be rational to assign a rather low prior probability to the grabby civilizations hypothesis. For instance, if there are any civilizations that expand rapidly and indefinitely, they may well not make any drastic changes to the volumes they inhabit, potentially for strategic reasons. Hence, we call for epistemic caution and humility regarding the question of the long-term evolution of intelligence in the Universe.
Comparison of the effects of empagliflozin and sotagliflozin on a zebrafish model of diabetic heart failure with reduced ejection fraction
Authors: Kim Inho , Cho Hyun-Jai , Lim Soo , Seok Seung Hyeok , Lee Hae-Young 
Published: June 2023

AbstractThe sodium-glucose cotransporter 2 (SGLT2) inhibitor empagliflozin (EMPA) and dual SGLT1/2 inhibitor sotagliflozin (SOTA) are emerging as heart failure (HF) medications in addition to having glucose-lowering effects in diabetes mellitus (DM). However, the precise mechanism underlying this cardioprotective effect has not yet been elucidated. Here, we evaluated the effects of EMPA and SOTA in a zebrafish model of DM combined with HF with reduced ejection fraction (DM-HFrEF). To compare the effects of the two drugs, survival, locomotion, and myocardial contractile function were evaluated. The structural binding and modulating effects of the two medications on sodium-hydrogen exchanger 1 (NHE1) were evaluated in silico and in vitro. DM-HFrEF zebrafish showed impaired cardiac contractility and decreased locomotion and survival, all of which were improved by 0.2–5 μM EMPA or SOTA treatment. However, the 25 μM SOTA treatment group had worse survival rates and less locomotion preservation than the EMPA treatment group at the same concentration, and pericardial edema and an uninflated swim bladder were observed. SOTA, EMPA and cariporide (CARI) showed similar structural binding affinities to NHE1 in a molecular docking analysis and drug response affinity target stability assay. In addition, EMPA, SOTA, and CARI effectively reduced intracellular Na+ and Ca2+ changes through the inhibition of NHE1 activity. These findings suggest that both EMPA and SOTA exert cardioprotective effects in the DM-HFrEF zebrafish model by inhibiting NHE1 activity. In addition, despite the similar cardioprotective effects of the two drugs, SOTA may be less effective than EMPA at high concentrations.
Human induced neural stem cells support functional recovery in spinal cord injury models
Authors: Son Daryeon , Zheng Jie , Kim In Yong , Kang Phil Jun , Park Kyoungmin , Priscilla Lia , Hong Wonjun , Yoon Byung Sun , Park Gyuman , Yoo Jeong-Eun , Song Gwonhwa , Lee Jang-Bo , You Seungkwon 
Published: June 2023

AbstractSpinal cord injury (SCI) is a clinical condition that leads to permanent and/or progressive disabilities of sensory, motor, and autonomic functions. Unfortunately, no medical standard of care for SCI exists to reverse the damage. Here, we assessed the effects of induced neural stem cells (iNSCs) directly converted from human urine cells (UCs) in SCI rat models. We successfully generated iNSCs from human UCs, commercial fibroblasts, and patient-derived fibroblasts. These iNSCs expressed various neural stem cell markers and differentiated into diverse neuronal and glial cell types. When transplanted into injured spinal cords, UC-derived iNSCs survived, engrafted, and expressed neuronal and glial markers. Large numbers of axons extended from grafts over long distances, leading to connections between host and graft neurons at 8 weeks post-transplantation with significant improvement of locomotor function. This study suggests that iNSCs have biomedical applications for disease modeling and constitute an alternative transplantation strategy as a personalized cell source for neural regeneration in several spinal cord diseases.
Orchestration of synaptic functions by WAVE regulatory complex-mediated actin reorganization
Authors: Han Kyung Ah , Ko Jaewon 
Published: June 2023

AbstractThe WAVE regulatory complex (WRC), composed of five components—Cyfip1/Sra1, WAVE/Scar, Abi, Nap1/Nckap1, and Brk1/HSPC300—is essential for proper actin cytoskeletal dynamics and remodeling in eukaryotic cells, likely by matching various patterned signals to Arp2/3-mediated actin nucleation. Accumulating evidence from recent studies has revealed diverse functions of the WRC in neurons, demonstrating its crucial role in dictating the assembly of molecular complexes for the patterning of varioustrans-synaptic signals. In this review, we discuss recent exciting findings on the physiological role of the WRC in regulating synaptic properties and highlight the involvement of WRC dysfunction in various brain disorders.
Nutrient sensors and their crosstalk
Authors: Sung Yulseung , Yu Ya Chun , Han Jung Min 
Published: June 2023

AbstractThe macronutrients glucose, lipids, and amino acids are the major components that maintain life. The ability of cells to sense and respond to fluctuations in these nutrients is a crucial feature for survival. Nutrient-sensing pathways are thus developed to govern cellular energy and metabolic homeostasis and regulate diverse biological processes. Accordingly, perturbations in these sensing pathways are associated with a wide variety of pathologies, especially metabolic diseases. Molecular sensors are the core within these sensing pathways and have a certain degree of specificity and affinity to sense the intracellular fluctuation of each nutrient either by directly binding to that nutrient or indirectly binding to its surrogate molecules. Once the changes in nutrient levels are detected, sensors trigger signaling cascades to fine-tune cellular processes for energy and metabolic homeostasis, for example, by controlling uptake, de novo synthesis or catabolism of that nutrient. In this review, we summarize the major discoveries on nutrient-sensing pathways and explain how those sensors associated with each pathway respond to intracellular nutrient availability and how these mechanisms control metabolic processes. Later, we further discuss the crosstalk between these sensing pathways for each nutrient, which are intertwined to regulate overall intracellular nutrient/metabolic homeostasis.
TRIM22 promotes the proliferation of glioblastoma cells by activating MAPK signaling and accelerating the degradation of Raf-1
Authors: Fei Xiaowei , Dou Ya-nan , Sun Kai , Wei Jialiang , Guo Qingdong , Wang Li , Wu Xiuquan , Lv Weihao , Jiang Xiaofan , Fei Zhou 
Published: June 2023

AbstractThe tripartite motif (TRIM) 22 and mitogen-activated protein kinase (MAPK) signaling pathways play critical roles in the growth of glioblastoma (GBM). However, the molecular mechanism underlying the relationship between TRIM22 and MAPK signaling remains unclear. Here, we found that TRIM22 binds to exon 2 of the sphingosine kinase 2 (SPHK2) gene. An ERK1/2-driven luciferase reporter construct identified TRIM22 as a potential activator of MAPK signaling. Knockout and overexpression of TRIM22 regulate the inhibition and activation of MAPK signaling through the RING-finger domain. TRIM22 binds to Raf-1, a negative regulator of MAPK signaling, and accelerates its degradation by inducing K48-linked ubiquitination, which is related to the CC and SPRY domains of TRIM22 and the C1D domain of Raf-1. In vitro and in vivo, an SPHK2 inhibitor (K145), an ERK1/2 inhibitor (selumetinib), and the nonphosphorylated mutant Raf-1S338Ainhibited GBM growth. In addition, deletion of the RING domain and the nuclear localization sequence of TRIM22 significantly inhibited TRIM22-induced proliferation of GBM cells in vivo and in vitro. In conclusion, our study showed that TRIM22 regulatesSPHK2transcription and activates MAPK signaling through posttranslational modification of two critical regulators of MAPK signaling in GBM cells.
Markers and makers of NKT17 cells
Authors: Liman Nurcin , Park Jung-Hyun 
Published: June 2023

AbstractInvariant natural killer T (iNKT) cells are thymus-generated innate-like αβ T cells that undergo terminal differentiation in the thymus. Such a developmental pathway differs from that of conventional αβ T cells, which are generated in the thymus but complete their functional maturation in peripheral tissues. Multiple subsets of iNKT cells have been described, among which IL-17-producing iNKT cells are commonly referred to as NKT17 cells. IL-17 is considered a proinflammatory cytokine that can play both protective and pathogenic roles and has been implicated as a key regulatory factor in many disease settings. Akin to other iNKT subsets, NKT17 cells acquire their effector function during thymic development. However, the cellular mechanisms that drive NKT17 subset specification, and how iNKT cells in general acquire their effector function prior to antigen encounter, remain largely unknown. Considering that all iNKT cells express the canonical Vα14-Jα18 TCRα chain and all iNKT subsets display the same ligand specificity, i.e., glycolipid antigens in the context of the nonclassical MHC-I molecule CD1d, the conundrum is explaining how thymic NKT17 cell specification is determined. Mapping of the molecular circuitry of NKT17 cell differentiation, combined with the discovery of markers that identify NKT17 cells, has provided new insights into the developmental pathway of NKT17 cells. The current review aims to highlight recent advances in our understanding of thymic NKT17 cell development and to place these findings in the larger context of iNKT subset specification and differentiation.
Ultrafast terahertz emission from emerging symmetry-broken materials
Authors: Pettine Jacob , Padmanabhan Prashant , Sirica Nicholas , Prasankumar Rohit P. , Taylor Antoinette J. , Chen Hou-Tong 
Published: June 2023

AbstractNonlinear optical spectroscopies are powerful tools for investigating both static material properties and light-induced dynamics. Terahertz (THz) emission spectroscopy has emerged in the past several decades as a versatile method for directly tracking the ultrafast evolution of physical properties, quasiparticle distributions, and order parameters within bulk materials and nanoscale interfaces. Ultrafast optically-induced THz radiation is often analyzed mechanistically in terms of relative contributions from nonlinear polarization, magnetization, and various transient free charge currents. While this offers material-specific insights, more fundamental symmetry considerations enable the generalization of measured nonlinear tensors to much broader classes of systems. We thus frame the present discussion in terms of underlying broken symmetries, which enable THz emission by defining a system directionality in space and/or time, as well as more detailed point group symmetries that determine the nonlinear response tensors. Within this framework, we survey a selection of recent studies that utilize THz emission spectroscopy to uncover basic properties and complex behaviors of emerging materials, including strongly correlated, magnetic, multiferroic, and topological systems. We then turn to low-dimensional systems to explore the role of designer nanoscale structuring and corresponding symmetries that enable or enhance THz emission. This serves as a promising route for probing nanoscale physics and ultrafast light-matter interactions, as well as facilitating advances in integrated THz systems. Furthermore, the interplay between intrinsic and extrinsic material symmetries, in addition to hybrid structuring, may stimulate the discovery of exotic properties and phenomena beyond existing material paradigms.
Sex differences in children’s cognitive functions and phthalates exposure: a meta-analysis
Authors: Liao Yu-Chi , Xu Yi-Jia , Chen Jing-Kai , Boonhat Hathaichon , Su Bei-Yi , Lin Yi-Chun , Lin Ro-Ting 
Published: June 2023

Abstract
Background
Phthalates exposure might affect children’s intelligence development. This study aimed to determine (1) whether sex and age affect cognitive function and (2) whether sex differences in cognitive performance are wider with higher phthalate concentrations.

Methods
Data were collected from PubMed (1998–2022), PROQUEST (1997–2022), and SpringerLink (1995–2022). The study followed the PRISMA process. The included articles were followed by PECO framework. The GRADE applied to assess the certainty of evidence. Of 2422 articles obtained, nine were selected using inclusion criteria. The random-effects model was used to estimate the pooled effects.

Results
Our meta-regression indicated a significant difference between sex differences with age at phthalate concentration assessment (β = −0.25; 95% CI = −0.47, −0.03) and MEHP concentration (β = −0.20; 95% CI = −0.37, −0.03).

Conclusions
The limitation of the current article is it only provides information on intelligence level rather than other aspects of cognitive function. Thus, the sequelae of phthalate exposure on attention and executive function are still unclear. Our analysis shows significant difference between sex differences in cognitive function scores associated with age at phthalate concentration assessment. Girls might be more resilient in cognitive function at a younger age or during lower concentrations of phthalates metabolites.

Impact

This is the first meta-analysis to evaluate the pooled estimates of sex differences in objective cognitive functions among children with phthalate exposure.

The female might be a protective factor when exposed to toxic plasticizers while the concentration is low.

This study captures the possible role of sex in cognitive functioning and plasticizer exposure through a meta-analysis of children’s sex, cognitive scores, and plasticizer exposure.