bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantum atmosphere effective radii for different spin fields from quantum gravity inspired black holes
Authors: Gingrich Douglas M. 
Published: July 2023

AbstractQuantum atmosphere effective radii for the emission of spin-0, 1/2, 1, and 2 massless fields from Schwarzschild, Tangherlini, non-commutative geometry inspired, and polymeric black holes are calculated. The power observed from the black hole at spatial infinity taking greybody factors into account is compared to an equal-power black-body radiator of the same temperature but different effective radius. A large range of different radii are obtained for different spin fields and black holes. The equal-power black-body effective radius is not, in general, a good proxy for the location of the quantum atmosphere.
Synthesis and Structure of Polyhydrido Copper Nanocluster [Cu14H10(PPh3)8(SPhMe2)3]+: Symmetry-Breaking by Thiolate Ligands to form Racemic Pairs of Chiral Clusters in Solid-State
Authors: Zeng Shuhuan , Ge Xin , Deng Hongwen , Hao Shuwei , Zhang Zhiye , Teo Boon K. , Sun Cunfa 
Published: July 2023

AbstractA polyhydrido copper nanocluster, [Cu14H10(PPh3)8(SR)3]+ (HSR = 2,4-dimethylbenzenethiol), adopting a distorted fcc structure, is reported. One cube-vertex copper atom, coordinated by the three thiolate ligands and a PPh3, protrudes outwards from the fcc metal framework. The twisting of the three thiolate ligands about the threefold axis lowers the symmetry from Oh (Cu14) to C3, forming racemic pairs of intrinsic chiral clusters in crystalline solid-state.
Graphical Abstract
Fragmentation and Relationality in Brexit Narratives: Linda Grant’s a Stranger City
Authors: Pellicer-Ortín Silvia 
Published: July 2023

AbstractThe main purpose of this article is to explore the ways in which Linda Grant’s A Stranger City can be defined as illustrative of BrexLit. Many literary critics have argued that the majority of works within the genre of BrexLit primarily address this phenomenon from the British perspective, thus portraying its consequences only for the UK (mostly England) and British characters. I contend that A Stranger City is quite different from these works as it is concerned with the manifold experiences of various European citizens set in London against a background of xenophobia, nationalism and political tensions. Drawing on the tools provided by close reading, I will show how A Stranger City shows some narrative devices that characterise those newest fictions defined as fragmented narratives and networked novels in an attempt to identify the tensions between fragmentation and relationality that have been visible at a political and social level in the wake of Brexit. Using recent research in the fields of diaspora and vulnerability studies, I also aim to demonstrate that Brexit acts as the vertebral axis (dis)connecting Grant’s diasporic characters. In the end, I will attempt to show that this aspect seems to evoke a hopeful future in which the fragmented identities of post-Brexit Europeans have the possibility to flow in a more connected way than ever before.
Effects of SRSD writing interventions in grade 3: examining the added value of attention vs. transcription training components
Authors: Rocha Renata S. , Soeiro Inês , Magalhães Sofia , Castro São Luís , Limpo Teresa 
Published: July 2023

AbstractChildren’s writing depends on strategic and self-regulated behaviors as well as on attention and transcription skills. Despite the well-established effectiveness of interventions based on the self-regulated strategy development model (SRSD), little is known about their effects when combined with the explicit teaching and systematic training of attention or transcription. This study compared the effects of SRSD interventions that taught students a planning strategy and how to use it compose text, with additional components of attention (via focused meditation exercises) or transcription (via copy and alphabet exercises). We used a quasi-experimental design with three groups of Portuguese third graders: SRSD + attention (n = 42), SRSD + transcription (n = 37), and wait list (n = 34). Measures of transcription, executive functions, motivation, written production, and academic achievement were collected before and after the interventions. Analyses of co-variance revealed that the SRSD + transcription group surpassed the others in terms of handwriting fluency as well as in terms of spelling accuracy, though only among the weakest spellers at pretest. Moreover, in comparison to the wait list group, both SRSD groups showed better planning skills, wrote more complete texts, and displayed better executive functioning at posttest. After the intervention, though the SRSD + transcription group produced better texts than their peers, the SRSD + attention group achieved better academic performance, but only among those with poorer grades at pretest. Regarding motivation, we only found an effect of the SRSD + transcription intervention on self-efficacy for ideation, among students with lower self-efficacy at pretest. These findings suggest the importance of articulating writing and self-regulation strategies with attention and transcription training in early schooling.
Airport COVID-19 Testing of Travelers: An Island Destination Perspective
Authors: Hou Amy T. , Pang Genevieve C. , Mills Kristin M. , Bayudan Krizhna L. , Moore Dayna M. , Medina Luz P. , Pang Lorrin W. 
Published: July 2023

Abstract
Purpose of Review
To highlight recent literature on airport COVID-19 testing studies among travelers at international borders and to identify factors that may contribute to bias.

Recent Findings
Literature search shows vastly different study designs and goals for airport COVID-19 screening programs, with positivity rates ranging from 0.1 to 100%. Goals included detecting the maximum cases with enforced isolation, determining an accurate positivity rate among travelers, investigating alternative diagnostics, and evaluating pre-travel programs. Participation rates are in the low (27–40%) to high ranges (72–100%).

Summary
The implementation strategy differs depending on the primary goal. If the goal is to ban new cases or perform active surveillance of new variants, then it is reasonable to consider mandatory airport testing, or voluntary testing with genome sequencing and isolation. If the goal is to determine an accurate positivity rate among travelers or effectiveness of pre-travel programs, then it is reasonable to consider an anonymous, voluntary testing program (without associated isolation) to minimize self-selection bias or distortion of travelers.
Bone Health in the Transgender and Gender Diverse Youth Population
Authors: Lee Janet Y. 
Published: July 2023

Abstract
Purpose of Review

The purpose of this review is to summarize the scientific evidence on bone health in transgender and gender diverse (TGD) youth.

Recent Findings
Gender-affirming medical therapies may be introduced during a key window of skeletal development in TGD adolescents. Before treatment, low bone density for age is more prevalent than expected in TGD youth. Bone mineral density Z-scores decrease with gonadotropin-releasing hormone agonists and differentially respond to subsequent estradiol or testosterone. Risk factors for low bone density in this population include low body mass index, low physical activity, male sex designated at birth, and vitamin D deficiency. Peak bone mass attainment and implications for future fracture risk are not yet known.

Summary
TGD youth have higher than expected rates of low bone density prior to initiation of gender-affirming medical therapy. More studies are needed to understand the skeletal trajectories of TGD youth receiving medical interventions during puberty.
Can we decrease unethical behavior at work? The role of ethical culture, ethical culture strength and collective moral identity
Authors: Resende Marilia Mesquita , Porto Juliana Barreiros , Gracia Francisco J. 
Published: July 2023

AbstractPast research suggests that ethical culture and moral identity impact ethical behavior in organizations. However, research has yet to consider if collective moral identity interacts with ethical culture to predict ethical behavior and how ethical culture strength has a role in this relationship. The purpose of this study is to investigate the relationship of ethical culture, ethical culture strength, and collective moral identity with unit-level observed unethical behavior and unethical pro-organizational behavior while examining their moderating effects. We test our model with 1942 employees from 96 units of ten organizations and within-unit agreement was estimated for all variables. Our findings point out that ethical culture, and ethical culture strength have a strong association on unethical behavior, but that collective moral identity has no association. We discuss implications regarding the influence of collective moral identity on societies where the perception of corruption is high.
Psychological distress mediates the associations between neighborhood social cohesion (NSC) and cognitive performance in older adults
Authors: Kang Weixi 
Published: July 2023

Abstract
The aim of the current study is to test how psychological distress mediates the associations between neighborhood social cohesion (NSC) and cognitive performance including episodic memory, semantic verbal fluency, fluid reasoning, and numeracy in older adults. Nine multiple regressions were used to analyze the associations between NSC and cognitive performance, NSC and psychological distress, and psychological distress and cognitive performance respectively based on data from 4922 older adults with a mean age of 66.51 (S.D. = 8.27) years old and 47.01% males from Understanding Society: the UK Household Longitudinal Study (UKHLS). Moreover, a mediation analysis was conducted by the mediation toolbox on MATLAB 2018a (https://github.com/canlab/MediationToolbox). The current study found that NSC is positively related to all cognitive measures but negatively related to psychological distress, whereas psychological distress is negatively associated with all cognitive performance. Moreover, there was a complete mediation effect of psychological distress on the positive association between NSC and semantic verbal fluency and the association between NSC and fluid reasoning. However, NSC only partially mediated the positive associations between NSC and episodic memory and numeracy respectively. From a policy standpoint, findings from the current study contribute evidence that reinforces the need for program designers and policymakers to join the WHO’s global efforts to build age-friendly communities, which promotes NSC, then leads to reduced psychological distress, and thus better cognitive functions among the elderly. Preserving cognitive functions may in turn reduce health care burdens.
Is There a trade-off Between Achievement and Wellbeing in Education Systems? New cross-country Evidence
Authors: Högberg Björn 
Published: July 2023

AbstractWellbeing has recently been given a more prominent place in education policy and discourse, with critics arguing that an overemphasis on achievement comes at the cost of well-being. This raises questions concerning possible trade-offs between the traditionally dominant focus on learning and achievement in education and the growing emphasis on well-being. Can education systems promote high achievements and wellbeing simultaneously, or is reduced wellbeing an inevitable price to pay for high academic achievements? In this study, I investigate possible trade-offs between country-level achievement and individual wellbeing using five waves of the Programme for International Student Assessment (PISA) and the Health Behaviour in School-aged Children (HBSC) data, spanning over 18 years and including more than one million pupils in 45 countries. I find weak and inconsistent empirical support for a trade-off. While there is a modest negative relationship between country-level achievement and some indicators of well-being, this does not hold when adjusting for possible confounders or country-fixed effects. I also find no or weak evidence for heterogeneous effects depending on individual achievement. I conclude that concerns regarding possible trade-offs between achievement and wellbeing are not supported by cross-country comparative data. However, the predominantly null findings also imply that policymakers should not expect miracles in terms of wellbeing from high-achieving education systems. High achievements may be good from an academic perspective, but do not seem to make much of a difference from the perspective of wellbeing.
GIN method applied to the consolidation of cracked rocks: case study of the Memve’ele hydroelectric dam (southern Cameroon)
Authors: Mbe Jean Lucien , Yem Mbida , Ekoa Bessa Armel Zacharie , Tatietse Thomas Tamo , Bisso Dieudonné , Mridekh Abdelaziz , Smaoui Abdellatif , Ekodeck Georges Emmanuel 
Published: July 2023

AbstractThe empirical GIN (grouting intensity number) method is one of the most popular methods for structural stabilization and is increasingly used in many projects. The concept of this method is to limit the combination of pressure and volume injected to a specific grouting intensity number in order to control the energy induced in the rock fractures and to avoid heaving. In order to ensure the water tightness of the foundation of the Memve’ele hydroelectric dam, the treatment by the GIN method was implemented. The protocol implemented consisted to carry out a veil of injection drilling, consolidation, and control of effective treatment on each geotechnical hazard zone. Thus, 1240 injection boreholes were opened over a total length of 1600 m, i.e.: 613 pre-treatment boreholes and 627 consolidation boreholes. The results of the monitoring tests show that the 0.7 cement grouting treatment contributed to a reduction in crack permeability to less than 5 Lu (Lugeon units), a reduction of over 94%. This confinement of the rock was confirmed by geophysical imagery whose signature at the fractured interval varied after treatment. Geophysical and geohydrological characterization through permeability testing and electrical tomography revealed the existence of highly permeable discontinuity zones (over 90 Lu) below the bedrock surface, up to 15 m wide. Notwithstanding the volume of drilling carried out, the results obtained support the use of the GIN method in the stabilization of foundations of structures in the granite-gneissic basement zone.
‚Unordentliches Erzählen‘. Anmerkungen zur Rekonstruktion ‚kleiner‘, ‚unvollständiger‘ oder ‚inkohärenter‘ Erzählungen in der Sozialpädagogik und Kriminologie
Authors: Schmidt Holger 
Published: July 2023

ZusammenfassungDer Beitrag rückt die Frage in den Mittelpunkt, wie in an (biographischen) Erzählungen interessierten Forschungen sozialpädagogischer und kriminologischer Provenienz mit dem Phänomen ‚ungeordneter‘ Forschungserzählungen umgegangen wird. In Rekurs auf aktuelle narrationstheoretische Diskurse wie auch auf empirisches Datenmaterial wird ein Verständnis von Erinnerungserzählungen skizziert, in dem die je spezifische Beschaffenheit nicht als Hindernis, sondern als Anlass erkannt wird, engführende und bisweilen normativ grundierte Erzählungs- und Erzählverständnisse zu überdenken, um auf diese Weise soziale Wirklichkeit(skonstruktionen) differenzierter aufzuschließen.
Trends in hospital volume and operative mortality in hepato-biliary surgery in Veneto region, Italy
Authors: Guglielmi Alfredo , Tripepi Marzia , Salmaso Laura , Fedeli Ugo , Ruzzenente Andrea , Saia Mario 
Published: July 2023

AbstractHepatobiliary resections are among the most complex and technically challenging surgical procedures. Even though robust evidence showed that complex surgical procedures such as hepatobiliary surgery have better short- and long-term outcomes and lower mortality rate when performed in high-volume centers, the minimal criteria of centers that can perform hepatobiliary activity are not clearly defined. We conducted a retrospective population study of patients who underwent hepatobiliary surgery for malignant disease in a single Italian administrative region (Veneto) from 2010 to 2021 with the aim to investigate the hospitals annual surgical volume for hepatobiliary malignant diseases and the effect of hospital volume on in-hospital, 30- and 90-day postoperative mortality. The centralization process of hepatobiliary surgery in Veneto is rapidly increasing over the past 10 years (rate of performed in highly specialized centers increased from 62% in 2010 to 78% in 2021) and actually it is really established. The crude and adjusted (for age, sex, Charlson Index) mortality rate after hepatobiliary surgery resulted significantly lower in centers with high-volume activity compared to them with low-volume activity. In the Veneto region, the “Hub and Spoke” model led to a progressive centralization of liver and biliary cancer treatment. High surgical volume has been confirmed to be related to better outcomes in terms of mortality rate after hepatobiliary surgical procedures. Further studies are necessary to clearly define the minimal criteria and associated numerical cutoffs that can help define the characteristics of centers that can perform hepatobiliary activities.
Exploring the Social Impact of the Short-Stay Market (SSM) in Regional Areas: An Empirical Study
Authors: Ndaguba Emeka , Brown Kerry , Marinova Dora , Jogulu Uma 
Published: July 2023

AbstractThe discourse on microentrepreneurs and their involvement in the short stay market (SSM) was non-existent until 2008. While several concepts and constructs have been developed and empirically tested since 2009, many of them relate to economics, leaving the social, cultural, and environmental factors underdeveloped. Thus, this study aimed to fill the gap and identify and assess the social impact of the short-stay market (SSM) in a regional area. The study included 16 face-to-face interview sessions conducted with 18 participants, and the Leximancer software was employed to analyse the data. The study revealed that the social impact on SSM is not generic, rather pluralistic, multidimensional, and dynamic. The study also found that the limitation clause instituted by the council is a direct disconnect between the council and property owners/managers. Furthermore, despite ample opportunities provided by the short-stay market (SSM) in regional areas, encumbrances cannot be overlooked. Therefore, there is a need for a comprehensive approach to understand the social impact on policy frameworks in regional areas.
Synergistic Effect of Dual-Doped Carbon on Mo2C Nanocrystals Facilitates Alkaline Hydrogen Evolution
Authors: Zhou Min , Jiang Xiaoli , Kong Weijie , Li Hangfei , Lu Fei , Zhou Xin , Zhang Yagang 
Published: July 2023

AbstractMolybdenum carbide (Mo2C) materials are promising electrocatalysts with potential applications in hydrogen evolution reaction (HER) due to low cost and Pt-like electronic structures. Nevertheless, their HER activity is usually hindered by the strong hydrogen binding energy. Moreover, the lack of water-cleaving sites makes it difficult for the catalysts to work in alkaline solutions. Here, we designed and synthesized a B and N dual-doped carbon layer that encapsulated on Mo2C nanocrystals (Mo2C@BNC) for accelerating HER under alkaline condition. The electronic interactions between the Mo2C nanocrystals and the multiple-doped carbon layer endow a near-zero H adsorption Gibbs free energy on the defective C atoms over the carbon shell. Meanwhile, the introduced B atoms afford optimal H2O adsorption sites for the water-cleaving step. Accordingly, the dual-doped Mo2C catalyst with synergistic effect of non-metal sites delivers superior HER performances of a low overpotential (99 mV@10 mA cm−2) and a small Tafel slope (58.1 mV dec−1) in 1 M KOH solution. Furthermore, it presents a remarkable activity that outperforming the commercial 10% Pt/C catalyst at large current density, demonstrating its applicability in industrial water splitting. This study provides a reasonable design strategy towards noble-metal-free HER catalysts with high activity.
Tuning Active Metal Atomic Spacing by Filling of Light Atoms and Resulting Reversed Hydrogen Adsorption-Distance Relationship for Efficient Catalysis
Authors: Chen Ding , Lu Ruihu , Yu Ruohan , Zhao Hongyu , Wu Dulan , Yao Youtao , Yu Kesong , Zhu Jiawei , Ji Pengxia , Pu Zonghua , Kou Zongkui , Yu Jun , Wu Jinsong , Mu Shichun 
Published: July 2023

AbstractPrecisely tuning the spacing of the active centers on the atomic scale is of great significance to improve the catalytic activity and deepen the understanding of the catalytic mechanism, but still remains a challenge. Here, we develop a strategy to dilute catalytically active metal interatomic spacing (dM-M) with light atoms and discover the unusual adsorption patterns. For example, by elevating the content of boron as interstitial atoms, the atomic spacing of osmium (dOs-Os) gradually increases from 2.73 to 2.96 Å. More importantly, we find that, with the increase in dOs-Os, the hydrogen adsorption-distance relationship is reversed via downshifting d-band states, which breaks the traditional cognition, thereby optimizing the H adsorption and H2O dissociation on the electrode surface during the catalytic process; this finally leads to a nearly linear increase in hydrogen evolution reaction activity. Namely, the maximum dOs-Os of 2.96 Å presents the optimal HER activity (8 mV @ 10 mA cm−2) in alkaline media as well as suppressed O adsorption and thus promoted stability. It is believed that this novel atomic-level distance modulation strategy of catalytic sites and the reversed hydrogen adsorption-distance relationship can shew new insights for optimal design of highly efficient catalysts.
Lost in data: recognizing type of time series sensor data using signal pattern classification
Authors: Čulić Gambiroža Jelena , Mastelić Toni , Nižetić Kosović Ivana , Čagalj Mario 
Published: July 2023

AbstractWith the increase in number and size of Internet of Things systems, there is an ever-growing risk of (meta)data loss, as well as the maintenance overhead to mitigate such risks. The experts recognize three main challenges in this area that need to be tackled, namely (1) downsizing the manual work required for configuring sensor networks, (2) recovering metadata, such as sensor type, in case of connection issues, malfunctions or malicious actions in sensor networks, (3) rebuilding metadata lost due to unexpected problems within a data storage. Fortunately, all three challenges can be tackled with a uniform solution, namely the signal type classification approach, which is able to match raw signal to an appropriate data type. In this research, we evaluate and compare different approaches for signal type classification that can be used to recognize a signal type being read from an IoT sensor. This is done by using machine learning methods for modelling a signal represented as raw time series data. Three machine learning classification approaches are taken into a consideration, namely one class, two class and multi-class. According to the results of the evaluation, the most accurate multi-class random forest algorithm can correctly classify unknown signals in $$\sim {75}\%$$

∼
75
%

of the cases based on only 20 consecutive sensor readings. Moreover, multi-class random forest can detect two most probable classes of monitored signal with the accuracy of 95%.