bluuebunny/crossref_metadata_2025_split huggingface dataset:
Obstetric care for environmental migrants
Authors: Lee Sadhbh A. , Corbett Gillian A. , McAuliffe Fionnuala M. 
Published: September 2023

Abstract
Background
Migration due to environmental factors is an international crisis affecting many nations globally. Pregnant people are a vulnerable subgroup of migrants.

Aim
This article explores the potential effects of environmental migration on pregnancy and aims to draw attention to this rising concern.

Methods
Based on the study aim, a semi-structured literature review was performed. The following databases were searched: MEDLine (PubMed) and Google Scholar. The search was originally conducted on 31st January 2021 and repeated on 22nd September 2022.

Results
Pregnant migrants are at increased risk of mental health disorders, congenital anomalies, preterm birth, and maternal mortality. Pregnancies exposed to natural disasters are at risk of low birth weight, preterm birth, hypertensive disorders, gestational diabetes, and mental health morbidity. Along with the health risks, there are additional complex social factors affecting healthcare engagement in this population.

Conclusion
Maternity healthcare providers are likely to provide care for environmental migrants over the coming years. Environmental disasters and migration as individual factors have complex effects on perinatal health, and environmental migrants may be at risk of specific perinatal complications. Obstetricians and maternity healthcare workers should be aware of these challenges and appreciate the individualised and specialised care that these patients require.
Users of Online Child Sexual Abuse Material
Authors: Huikuri Salla 
Published: September 2023

AbstractOnline communities on darknet contribute to sexual violence against children. They provide offender access to Child Sexual Abuse Material and to a group of peers that supports criminal activities. This article sheds light on online child sexual abusers and their justifications for Child Sexual Abuse (CSA). It describes different offender profiles and motivations for CSA, followed by a section on policing these offences. The article then lays out psychological models, such as cognitive distortions, that are used to understand pedophiles’ behavior. The discussion is complemented by direct citations from a darknet community of CSA offenders, showing that these models are not just theoretical considerations. The last part of the article concentrates on online communities of CSA offenders. It describes different types of members of such communities and explains how the communities support individual offenders and how they provide learning models that facilitate criminal behavior. The article concludes with a short reflection of its findings, including novel insights for investigators of these crimes and proposed venues for further research.
Exercise as Medicine in Cardio-Oncology: Reducing Health Disparities in Hispanic and Latina Breast Cancer Survivors
Authors: Gonzalo-Encabo Paola , Sami Nathalie , Wilson Rebekah L. , Kang Dong-Woo , Ficarra Salvatore , Dieli-Conwright Christina M. 
Published: September 2023

Abstract
Purpose of Review
This review aims to access the current state of the evidence in exercise as medicine for cardio-oncology in Hispanic and Latina breast cancer survivors and to provide our preliminary data on the effects of supervised aerobic and resistance training on cardiovascular disease (CVD) risk in this population.

Recent Findings
Breast cancer survivors have a higher risk of CVD; particularly Hispanic and Latina breast cancer survivors have a higher burden than their White counterparts. Exercise has been shown to reduce CVD risk in breast cancer survivors; however, evidence in Hispanic and Latina breast cancer survivors is scarce.

Summary
Our review highlights a clear need for exercise oncology clinical trials in Hispanic and Latina breast cancer survivors targeting CVD risk factors. Moreover, our exploratory results highlight that 16 weeks of aerobic and resistance training may reduce the 10-year risk of developing CVD by 15% in Hispanic and Latina breast cancer survivors.
Spatial Multi-Criteria Analysis for Discovering Nature-Based Solutions Location for Urban Flood Mitigation in Accra
Authors: Asare Prince , Atun Funda , Pfeffer Karin 
Published: September 2023

AbstractIn recent years, Nature-Based Solutions (NBS) have become instrumental in restoring ecosystems and reducing the negative effects of hard surface developments. Existing studies have shown the potential of NBS in mitigating urban floods and reducing overall hydrogeological risks, especially in high-income areas. However, there is limited knowledge on area-specific NBS implementation and the locational suitability of areas to support different NBS for urban flood mitigation in medium to low-income regions. A methodology based on Spatial Multi-Criteria Analysis (SMCA) has the potential to spatially combine and synthesize information to elicit spatially-specific opportunities for NBS implementation. However, an SMCA tool to determine suitable locations for different NBS measures for urban flood mitigation does not yet exist. In order to address this research gap, this study developed an SMCA methodology to identify different target areas where specific urban flood-related NBS measures can be implemented to minimize urban flood occurrence in Accra, Ghana. The study revealed different locations where urban flood-related NBS measures could be applied. It also demonstrated how specific NBS measures could be tailored to the characteristics of different areas in Accra to ensure effective urban flood mitigation. The suggested methodological approach provides a spatial knowledge base for flood management institutions to integrate NBS into flood management schemes. The approach has application potential for other geographic contexts facing urban flood risks. Future research could focus on possible ways of integrating NBS into the spatial development of cities.
Modeling the Distribution of Atlantic Croaker and Spot in a Dynamic Seascape Using Metabolic Scope
Authors: Marcek Benjamin J. , Humston Robert , Fabrizio Mary C. , Shen Jian , Brill Richard W. 
Published: September 2023

AbstractIn estuarine and coastal systems, anthropogenic activities and directional changes in global air temperatures have led to increased water temperatures, as well as increased frequency and severity of episodic hypoxia. These alterations have had population-level effects on aquatic organisms, including changes in species-specific distributions. Because physiology is the transfer function connecting environmental conditions to individual behaviors and eventually to population-level effects, we used individual-based models (IBMs) that incorporate changes in metabolic scope as motivation for movement. Our objective was to investigate the effects of temperature and hypoxia on the distribution of Atlantic croaker and spot in Chesapeake Bay. We compared the predicted monthly fish distributions from the IBMs with apparent fish distributions recorded by the VIMS Juvenile Fish Trawl Survey during 1988–2014. IBMs failed to reproduce accurately the apparent spatial distributions of Atlantic croaker and spot. More specifically, compared with the trawl survey, IBMs predicted larger proportions of these two species would be captured in the lower regions of Chesapeake Bay and smaller proportions in the York and Rappahannock rivers. We postulate that, because similar thermal and oxygen conditions were occupied by fish in the IBMs and in the wild, temperature may not be the most important factor motivating the movement of Atlantic croaker and spot in Chesapeake Bay, and other spatial factors (e.g., prey availability) act in concert with temperature and hypoxia to determine the spatial distributions of Atlantic croaker and spot in Chesapeake Bay. Alternatively, surveys used to estimate species occurrences could be biased if gear vulnerability is affected by temperature or oxygen conditions (or both). Additional research is needed to clarify which condition is true or if a combination of these factors (and others) led to discrepancies between predicted and apparent fish distributions based on trawl survey data.
Digital entrepreneurship from cellular data: How omics afford the emergence of a new wave of digital ventures in health
Authors: Rothe Hannes , Lauer Katharina Barbara , Talbot-Cooper Callum , Sivizaca Conde Daniel Juan 
Published: September 2023

AbstractData has become an indispensable input, throughput, and output for the healthcare industry. In recent years, omics technologies such as genomics and proteomics have generated vast amounts of new data at the cellular level including molecular, structural, and functional levels. Cellular data holds the potential to innovate therapeutics, vaccines, diagnostics, consumer products, or even ancestry services. However, data at the cellular level is generated with rapidly evolving omics technologies. These technologies use scientific knowledge from resource-rich environments. This raises the question of how new ventures can use cellular-level data from omics technologies to create new products and scale their business. We report on a series of interviews and a focus group discussion with entrepreneurs, investors, and data providers. By conceptualizing omics technologies as external enablers, we show how characteristics of cellular-level data negatively affect the combination mechanisms that drive venture creation and growth. We illustrate how data characteristics set boundary conditions for innovation and entrepreneurship and highlight how ventures seek to mitigate their impact.
Interpolation and extrapolation in Year 5 STEM activities: exploring data about viscosity without advanced statistics
Authors: Watson Jane , Fitzallen Noleine , Kelly Ben 
Published: September 2023

AbstractIncorporating an evidence-based approach in STEM education using data collection and analysis strategies when learning about science concepts enhances primary students’ discipline knowledge and cognitive development. This paper reports on learning activities that use the nature of viscosity and the power of informal statistical inference to build students’ conceptual understanding of interpolation and extrapolation without imposing on them the demands of understanding the nonlinear mathematics used to explore the concepts at the tertiary level. An exploratory research strategy was adopted to investigate the way in which Year 5 students created and analysed graphical representations from data collected when performing viscosity experiments. The data representations produced by the students and their subsequent predictions were analysed using the Structure of Observed Learning Outcomes (SOLO) model as adapted specifically for graphical representations. The results illustrate that when provided with appropriate technological tools to scaffold student learning, in this case TinkerPlots™, development of students’ appreciation of interpolation and extrapolation within meaningful data contexts across the STEM curriculum does not have to wait until the tertiary level.
Does natural resource hinder, taxation capacity and accountability? A case of selected oil abundant developing countries
Authors: Laniran Temitope J. , Adeleke Damilola 
Published: September 2023

AbstractThis study aims to explore the mechanism that corroborates the political-economy explanation of the resource curse in oil rich developing countries. This mechanism elucidates that increasing resource rents provides higher incentives for leaders to remain in power, through a deliberate refusal to improve taxation capacity, which would, in turn, reduce the tax burden on its citizens to reduce their demand for accountability. Using a panel data set for 25 oil producing developing countries for the period 1996–2011, the study demonstrated that oil abundant developing countries lack adequate taxation capacity which influences fiscal contract through taxation of the citizens and minimises the scrutiny of government and the demand for accountability. In turn, the economy is plagued by inadequate provision of public goods and a limited means to raise revenue to finance government expenditure. The empirical analysis supports this mechanism. To this regard, it concludes that the presence of oil in the selected countries can undermine accountability.
Seismic control of vertically and horizontally irregular steel high-rise buildings by tuned mass dampers including SSI
Authors: Kontoni Denise-Penelope N. , Farghaly Ahmed Abdelraheem 
Published: September 2023

AbstractThe architectural requirements imposed on the structural design of buildings sometimes necessitate vertical and horizontal irregularities with their possibly dangerous effects when these structures are subjected to earthquakes. One of the greatest challenges in structural engineering is the design of a steel high-rise building (HRB) with vertical and horizontal irregularities. In this research, two irregular steel high-rise buildings (HRBs) were seismically analyzed as 3D models considering soil–structure interaction (SSI) and tuned mass damper (TMD) systems were used to mitigate their seismic response under different earthquakes. The two studied HRBs were a vertically irregular (step-pyramid-shaped) steel HRB, and a both vertically and horizontally irregular (L-shaped in-plan, stadium-shaped) steel HRB. The SSI provides the actual response of the tall buildings subjected to earthquake, and mitigation schemes using TMDs were suggested with arrangements of the TMDs on the top plan and along the elevation of the steel high-rise buildings to achieve seismic control of these structures. The present study has shown that the best efficiency in the mitigation of the effect of earthquakes on vertically and horizontally irregular steel high-rise buildings is obtained by implementing TMDs at the corners of the HRB plan on the top of the HRB and also at different floor levels along the upper half-height of the HRB.
Two-dimensional superlattice films of gold nanoparticle-polystyrene composites: a bioactive platform for bone homeostasis maintenance
Authors: Zhuang Zaikai , Li Zheng , Gong Guangyu , Li Qiangqiang , Zhang Yibo , Huang Caoxing , Huang Yusen , Tian Lei , Wang Peng , Guo Zhirui , Jiang Qing 
Published: September 2023

AbstractOsseo-integration between the implant and bone is a crucial factor to create a strong, durable bond that allows the implant to function effectively. However, regular implant surface with poor osseo-integration ability may cause aseptic loosening, resulting in the failure of implants. Herein, a serial of macroscopic one-particle thick superlattice films generated by self-assembly of diverse size of gold nanoparticles (GNPs) were termed as SFGs and were considered as bioactive implant coatings for enhancing osseo-integration. A hydroquinone-assisted seed method is established to fabricate homogenous GNPs with controllable sizes (20, 60, and 90 nm), which were further employed as building blocks to generate macroscopic one-particle thick superlattice films of GNPs (SFGs-20, SFGs-60, and SFGs-90) with the assistance of ploystryrene. The SFGs present a size-dependent performance on bone homeostasis, where SFGs-90 demonstrated the most pronounced facilitation of osteogenic differentiation of osteoblasts as well as deactivation of osteoclasts compared with SFGs-20 and SFGs-60. Considering the universal applicability of SFGs for depositing on various substrates, these SFGs with enhanced osseo-integration capabilities could serve as a bioactive platform for surface modification of orthopedic implants, effectively addressing the issue of aseptic loosening.
Graphical abstract
Two-dimensional superlattice films of gold nanoparticle-polystyrene composites exhibit enhanced osteogenic-stimulation and osteoclastic-inhibition effects for regulating bone homeostasis maintenance.
Satellite‐Based Fully Connected Neural Network Heating (FCNH) Algorithm for Estimating Latent Heating Rate Inside Storms
Authors: Zhao Hongwei , Li Rui , Zhang Peng , Fu Yunfei , Yang Shuping , Huang Chen , Li Dong 
Published: September 2023

AbstractLatent heat (LH) released from precipitation during the water phase change process is the primary energy source driving atmospheric circulation. Current satellite LH retrieval algorithms are mainly physical‐based or lookup table‐based. In this study, a fully connected neural network LH algorithm (FCNH) was developed and tested by weather research and forecasting model (WRF) simulations and global precipitation measurement (GPM) satellite observations. FCNH uses three types of modules: feature representation, feature fusion, and regression. Using satellite observable vertical derivation of precipitation rate () and air temperature (T) as inputs into FCNH achieved the best LH retrieval performance; increasing the number of input variables covering environmental or precipitation characteristics degraded the retrieval accuracy. Compared to the WRF simulated true LH, the FCNH retrieval captured the main features of horizontal and vertical structures with high correlation coefficients and showed improved performance over the associated physical‐based LH algorithm on the same inputs. The FCNH algorithm can alleviate the overestimation of cooling near the surface and the overestimation of positive heating in the mixing layer. The LH retrievals from FCNH and the other three algorithms using inputs of GPM observations were compared, and all achieved basically consistent results. This study is the first attempt to use an artificial neural network method for satellite remote sensing of LH inside precipitation clouds. It promotes understanding of the learning efficiency, accuracy, and limitations of using a fully connected neural network to retrieve LH.
GEORGIA: A Graph Neural Network Based EmulatOR for Glacial Isostatic Adjustment
Authors: Lin Yucheng , Whitehouse Pippa L. , Valentine Andrew P. , Woodroffe Sarah A. 
Published: September 2023

AbstractGlacial isostatic adjustment (GIA) modeling is not only useful for understanding past relative sea‐level change but also for projecting future sea‐level change due to ongoing land deformation. However, GIA model predictions are subject to a range of uncertainties, most notably due to uncertainty in the input ice history. An effective way to reduce this uncertainty is to perform data‐model comparisons over a large ensemble of possible ice histories, but this is often impossible due to computational limitations. Here we address this problem by building a deep‐learning‐based GIA emulator that can mimic the behavior of a physics‐based GIA model while being computationally cheap to evaluate. Assuming a single 1‐D Earth rheology, our emulator shows 0.54 m mean absolute error on 150 out‐of‐sample testing data with <0.5 s emulation time. Using this emulator, two illustrative applications related to the calculation of barystatic sea level are provided for use by the sea‐level community.
The Upper Mantle Geoid for Lithospheric Structure and Dynamics
Authors: Salajegheh F. , Afonso J. C. 
Published: September 2023

AbstractGeoid anomalies offer crucial information on the internal density structure of the Earth, and thus, on its constitution and dynamic state. In order to interpret geoid undulations in terms of depth, magnitude and lateral extension of density anomalies in the lithosphere and upper mantle, the effects of lower mantle density anomalies need to be removed from the full geoid (thus obtaining the residual “upper mantle geoid”). However, how to achieve this seemingly simple filtering exercise has eluded consensus for decades in the solid Earth community. While there is wide agreement regarding the causative masses of degrees >10 in spherical harmonic expansions of the upper mantle geoid, those contributing to degrees <7–8 remain ambiguous. Here we use spherical harmonic analysis and recent tomography and density models from joint seismic‐geodynamic inversions to derive a representative upper mantle geoid, including the contributions from low harmonic degrees. We show that the upper mantle geoid contains important contributions from degrees 5 and 6 and interpret the causative masses as arising from the coupling between the long‐wavelength lithospheric structure and the sublithospheric upper mantle convection pattern. Importantly, the contributions from degrees 3 < l < 8 do not show a simple power‐law behavior (e.g., Kaula's rule), which precludes the use of standard filtering techniques in the spectral domain. Our upper mantle geoid model will be useful in studies of (a) lithospheric structure, (b) dynamic topography and mantle viscosity, (c) lithosphere‐asthenosphere interactions and (d) the global stress field within the lithosphere and its associated hazards.
Peri‐Siberian Ordovician to Devonian Tectonic Switching in the Olkhon Terrane (Southern Siberia): Structural and Geochronological Constraints
Authors: Li Zhi‐Yong , Jiang Ying‐De , Collett Stephen , Štípská Pavla , Schulmann Karel , Wang Sheng , Sukhorukov Vasiliy , Bai Xiu‐Juan , Zhang Wan‐Feng 
Published: September 2023

AbstractThe Olkhon Terrane is thought to preserve a record of the initial collision of the Siberian Craton with its peripheral orogenic system during the early Paleozoic. However, the related tectono‐metamorphic process and its time‐scale remain obscure. To address this issue, new structural observations combined with U‐Pb zircon and monazite and 40Ar/39Ar biotite geochronology were conducted in the migmatitic‐granitic Anga‐Sakhurta Zone of the terrane. An earliest syn‐collisional event associated with the development of a c. 500–480 Ma sub‐horizontal migmatitic fabric is confirmed. This early fabric was affected by later extensional doming in association with emplacement of partial melts (in terms of c. 470–445 Ma granite sills) parallel to the sub‐horizontal mechanical anisotropy. Subsequent upright folding leading to amplification of extensional domal structures and heterogeneous vertical transposition of composite horizontal fabric occurred soon after the doming, as indicated by intrusions of residual melts into the axial planes of the upright folds. The latest episode of deformation was marked by development of greenschist‐facies sinistral shear zones surrounding the Anga‐Sakhurta Zone at c. 420–400 Ma. An updated tectonic model involving (a) Middle–Late Ordovician crustal thinning associated with horizontal crustal flow, (b) Silurian crustal shortening related to northwards movement of Cambrian magmatic arc of the Birkhin Complex to the south, and (c) Early Devonian lateral extrusion and sinistral shearing associated with progression of the Birkhin Complex promontory, is proposed. Results from this study shed lights on the collisional evolution of peri‐Siberian orogenic system during the early stage evolution of the Central Asian Orogenic Belt.
Discovery of neddylation E2s inhibitors with therapeutic activity
Authors: Mamun MAA , Liu Ying , Geng Yin-Ping , Zheng Yi-Chao , Gao Ya , Sun Jian-Gang , Zhao Long-Fei , Zhao Li-Juan , Liu Hong-Min 
Published: September 2023

AbstractNeddylation is the writing of monomers or polymers of neural precursor cells expressed developmentally down-regulated 8 (NEDD8) to substrate. For neddylation to occur, three enzymes are required: activators (E1), conjugators (E2), and ligators (E3). However, the central role is played by the ubiquitin-conjugating enzymes E2M (UBE2M) and E2F (UBE2F), which are part of the E2 enzyme family. Recent understanding of the structure and mechanism of these two proteins provides insight into their physiological effects on apoptosis, cell cycle arrest and genome stability. To treat cancer, it is therefore appealing to develop novel inhibitors against UBE2M or UBE2F interactions with either E1 or E3. In this evaluation, we summarized the existing understanding of E2 interaction with E1 and E3 and reviewed the prospective of using neddylation E2 as a pharmacological target for evolving new anti-cancer remedies.