bluuebunny/crossref_metadata_2025 huggingface dataset:
Disaster Risk Resilience: Conceptual Evolution, Key Issues, and Opportunities
Authors: Graveline Marie-Hélène , Germain Daniel
Published: June 2022

Resilience has become a cornerstone for risk management and disaster reduction. However, it has evolved extensively both etymologically and conceptually in time and across scientific disciplines. The concept has been (re)shaped by the evolution of research and practice efforts. Considered the opposite of vulnerability for a long time, resilience was first defined as the ability to resist, bounce back, cope with, and recover quickly from the impacts of hazards. To avoid the possible return to conditions of vulnerability and exposure to hazards, the notions of post-disaster development, transformation, and adaptation (build back better) and anticipation, innovation, and proactivity (bounce forward) were then integrated. Today, resilience is characterized by a multitude of components and several classifications. We present a selection of 25 components used to define resilience, and an interesting linkage emerges between these components and the dimensions of risk management (prevention, preparedness, response, and recovery), offering a perspective to strengthen resilience through the development of capacities. Despite its potential, resilience is subject to challenges regarding its operationalization, effectiveness, measurement, credibility, equity, and even its nature. Nevertheless, it offers applicability and opportunities for local communities as well as an interdisciplinary look at global challenges.
Coupling the discrete element method and solid state diffusion equations for modeling of metallic powders sintering
Authors: Ivannikov V. , Thomsen F. , Ebel T. , Willumeit–Römer R.
Published: June 2022

A novel discrete element method-based approach for modeling of solid state sintering of spherical metallic powder is presented. It tackles the interplay between the thermodynamical mass transport effects arising in the vicinity of the grain boundary between the particles and their mechanical interaction. To deal with the former, an elementary model is used that describes the behavior of the matter flow at the grain boundary such that neck growth and shrinkage are properly captured. The model solves a set of partial differential equations which drive the changes of the corresponding geometry parameters. Their evolution is transformed into the equivalent normal sintering force arising in each sinter neck. To capture the mechanical interaction of particles due to their rearrangement resulting from the geometry changes of each individual contact, the entire assembly is modeled as an assembly of 2-nodal structural elements with 6 degrees of freedom per node. The stiffness properties are estimated employing the approximations from the bonded DEM. The numerical implementation then constitutes a two-step staggered solution scheme, where these models are applied sequentially. The performed benchmarks reveal the plausibility of the proposed approach and exhibit good agreement of both neck growth and shrinkage rates obtained in the numerical simulations with the experimental data.
Gamma-ray spectroscopy of fission fragments with state-of-the-art techniques
Authors: Leoni S. , Michelagnoli C. , Wilson J. N.
Published: June 2022

The paper reviews recent developments in $$\gamma $$
γ
-ray spectroscopy of the neutron-rich fragments produced in nuclear fission. This subject has been an intensive area of study spanning more than five decades. Here we highlight key results and describe the evolution of the associated experimental techniques since the last review papers in 1995 (I. Ahmad and W.R. Phillips, Rep. Prog. Phys. 58(11), 1415 (1995); J. H. Hamilton et al., Prog. Part. Nucl. Phys. 35, 635(1995)). Research themes in nuclear structure will be explored along with the fission reaction mechanism and the links to nuclear astrophysics and applications.
Link Prediction on Complex Networks: An Experimental Survey
Authors: Wu Haixia , Song Chunyao , Ge Yao , Ge Tingjian
Published: June 2022

Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex networks in the real world, for example global trade networks, air transport networks, and even social networks, known as racial equality issues caused by the spread of the epidemic. Link prediction plays an important role in complex network analysis in that it can find missing links or predict the links which will arise in the future in the network by analyzing the existing network structures. Therefore, it is extremely important to study the link prediction problem on complex networks. There are a variety of techniques for link prediction based on the topology of the network and the properties of entities. In this work, a new taxonomy is proposed to divide the link prediction methods into five categories and a comprehensive overview of these methods is provided. The network embedding-based methods, especially graph neural network-based methods, which have attracted increasing attention in recent years, have been creatively investigated as well. Moreover, we analyze thirty-six datasets and divide them into seven types of networks according to their topological features shown in real networks and perform comprehensive experiments on these networks. We further analyze the results of experiments in detail, aiming to discover the most suitable approach for each kind of network.
Evapotranspiration and Vegetation Cover Classifications Maps Based on Cloud Computing at the Arab Countries Scale
Authors: El-Shirbeny Mohammed Ahmed , Biradar Chandrashekhar , Amer Kamel , Paul Supria
Published: June 2022

According to the most recent Köppen–Geiger classification, Arab countries are divided into seven climate classes. Ground data availability is limited in developing countries, and ground meteorological data are scarce and concentrated in a few locations, rather than station maintenance capability being adequate for the responsibilities. The current study uses remote sensing and meteorological data to create regional classification maps of reference evapotranspiration (ETo), potential crop evapotranspiration, and vegetation cover in Arab countries from 2005 to 2020. The Stand-alone Remote Sensing Approach to Estimate Reference Evapotranspiration (SARE) was used to estimate ETo using satellite data from 2005 to 2020. The Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) were extracted from MODIS satellite data and used in the SARE model, in addition to elevation (E), Julian day (J), and Latitude (Lat). To validate the SARE model results, the FAO-Penman–Monteith model was applied to 35 ground meteorological stations distributed across Arab countries to cover all climate classes based on the most recent Köppen–Geiger climate classification. Google Earth Engine was used to create the classification. The statistical indices produced acceptable results, with average RMSE values ranging from 6.9 to 17.3 (mm/month), while correlation coefficient (r) and index of agreement (d) values are more significant than 0.9. To be included in the ETc calculation, the crop coefficient (Kc) was calculated using NDVI 250 m spatial resolution. The density of the vegetation cover is used to classify it (low to high). The average vegetation cover was calculated to be greater than 31.5 Mha. The minimum vegetation cover was 14.9 Mha, and the maximum vegetation cover was 49.2 Mha. 15.8 Mha can be cultivated without supplementary irrigation for at least one agricultural season, according to the rainfall classification map.
Relative pressure functions and their equilibrium states
Authors: YAYAMA YUKI
Published: June 2022

For a subshift
$(X, \sigma _{X})$
and a subadditive sequence
${\mathcal F}=\{\log f_{n}\}_{n=1}^{\infty }$
on X, we study equivalent conditions for the existence of
$h\in C(X)$
such that
$\lim _{n\rightarrow \infty }(1/{n})\int \log f_{n}\, d\kern-1pt\mu =\int h \,d\kern-1pt\mu $
for every invariant measure
$\mu $
on X. For this purpose, we first we study necessary and sufficient conditions for
${\mathcal F}$
to be an asymptotically additive sequence in terms of certain properties for periodic points. For a factor map
$\pi : X\rightarrow Y$
, where
$(X, \sigma _{X})$
is an irreducible shift of finite type and
$(Y, \sigma _{Y})$
is a subshift, applying our results and the results obtained by Cuneo [Additive, almost additive and asymptotically additive potential sequences are equivalent. Comm. Math. Phys.37 (3) (2020), 2579–2595] on asymptotically additive sequences, we study the existence of h with regard to a subadditive sequence associated to a relative pressure function. This leads to a characterization of the existence of a certain type of continuous compensation function for a factor map between subshifts. As an application, we study the projection
$\pi \mu $
of an invariant weak Gibbs measure
$\mu $
for a continuous function on an irreducible shift of finite type.
Communiqués 1001(2021), 1030(2021), and 1062(2022) Regarding the Re-Emergence of Coups D'état in West Africa (Afr. Union)
Authors: Omorogbe Eki Yemisi
Published: June 2022

The issue of how a government comes to power generally falls within the domestic domain and is not a concern of international law. However, the African Union (AU, established 2002), like its predecessor the Organisation for African Unity (OAU, 1963–2002), views coups as significant threats to the peace, security, stability, and development of African states. To shape change, the AU codified the anti-coup policy that the OAU had progressively adopted from 1997, and broadened it into a normative framework.
Mary Shelley'sThe Last Man: Existentialism and IR meet the post-apocalyptic pandemic novel
Authors: Hunt Eileen M.
Published: June 2022

Mary Shelley mined the ideas of international thought to help develop three new subgenres of modern political science fiction (‘poliscifi’): post-apocalyptic, existential, and dystopian. Her two great works of poliscifi,Frankenstein(1818), andThe Last Man(1826) – confront the social problems that arise from humanity's technological and cultural interventions in the wider environment. This article recoversThe Last Mannot only as the first modern post-apocalyptic pandemic novel, but also as an important source for the existentialist tradition, dystopian literature, and their intersections with what I call ‘Literary IR’. ComparingThe Last Manwith its probable sources and influences – from Thucydides and Vattel to Orwell and Camus – reveals Shelley's ethical and political concerns with the overlapping problems of interpersonal and international conflict.The Last Mandramatises how interpersonal conflict, if left unchecked, can spiral into the wider sociopolitical injustices of violence, war, and other human-made disasters such as species extinction, pandemics, and more metaphorical ‘existential’ plagues like loneliness and despair. Despite these dark themes and legacies, Shelley's authorship of the great plague novel of the nineteenth century also inspired a truly hopeful post-apocalyptic existential response to crisis and conflict in feminist poliscifi by Margaret Atwood, Octavia Butler, and Emily St. John Mandel.
Unravelling the suitability of Branchinecta gaini as a potential biomonitor of contaminants of emerging concern in the Antarctic Peninsula region
Authors: González-Aravena Marcelo , Iturra Graciela , Font Alejandro , Cárdenas César A. , Rondon Rodolfo , Bergami Elisa , Corsi Ilaria
Published: June 2022

The occurrence and impact of contaminants of emerging concerns (CECs) have been investigated in Antarctica much less than in other parts of the world. Although legacy anthropogenic pollutants can reach Antarctica via long-range transport, CECs mainly originate from local sources. Here, we investigated the ability of a freshwater crustacean, the Antarctic fairy shrimp Branchinecta gaini, to cope with nanoscale titanium dioxide (n-TiO2), a widely used pigment in consumer products (e.g. paintings), including those for personal care (e.g. sunscreens). An in vivo acute short-term exposure study (9 h, n-TiO2 concentration range 50–200 μg ml-1) was performed and the expression levels of several genes involved in stress response were evaluated. No effect on the expression of heat-shock protein chaperone genes was found, with the exception of Hsp70a, which was significantly upregulated at 200 μg ml-1 n-TiO2. Similarly, cytochrome P450 was upregulated at 100 and 200 μg ml-1 n-TiO2, while the expression levels of cathepsin L and of antioxidant genes such as superoxide dismutase and glutathione peroxidase were significantly reduced with increasing concentrations of n-TiO2. This study shows for the first time the responsiveness and sensitivity of an Antarctic freshwater crustacean to n-TiO2 exposure and supports its suitability as a biomonitor of CECs in Antarctica.
Better understanding how uncertainty impacts the economy: Insights from internet search data on the importance of disaggregation
Authors: Shields Kalvinder , Tran Trung Duc
Published: June 2022

We study the impact of uncertainty shocks using a disaggregated model featuring US state-level unemployment, and uncertainty measured using state-level Google search data. Importantly, the model captures spillovers across states and identifies substantial differences in peak responses and time dynamics. Moreover, the importance of national factors in propagating the effect of uncertainty is also heterogeneous across states, but less relevant than state-level factors. These heterogeneous effects are related to state-specific industry compositions and fiscal positions. In addition, we highlight the usefulness of disaggregated data in models of uncertainty and economic activity for the USA, based on the superior ability of the disaggregate model to predict aggregate uncertainty and unemployment.
Canine leptospirosis in stray and sheltered dogs: a systematic review
Authors: Costa Anna Cecília Trolesi Reis Borges , Colocho Raisa Abreu Bragança , Pereira Carine Rodrigues , Lage Andrey Pereira , Heinemann Marcos Bryan , Dorneles Elaine Maria Seles
Published: June 2022

The aim of this systematic review was to investigate the prevalence of leptospirosis among stray and sheltered dogs worldwide. Six databases were searched, which resulted in the retrieval of 476 articles. Sixty articles were selected for analysis according to 10 quality criteria. Among the selected papers, 26 papers [43.4% (26/60)] met five of the 10 quality criteria established, 10 papers [16.7% (10/60)] met three criteria, nine papers [15.0% (9/60)] met four criteria, six papers [10.0% (6/60)] met six criteria, four papers [6.7% (4/60)] met eight criteria, and three papers [5.0% (3/60)] met nine of the 10 criteria, whereas two papers [1.7% (1/60)] met two and seven [1.7% (1/60)] criteria. Publications originated mainly from the Americas [45.0% (27/60)] and in the last 16 years (2003–2019) [81.7% (49/60)], and most of the sampled dogs were stray dogs [65.0% (39/60)]. The most commonly used diagnostic test for leptospirosis was the microscopic agglutination test [78.4% (47/60)] followed by polymerase chain reaction [21.7% (13/60)], and the most common serovars were Canicola [71.4% (35/49)], Icterohaemorrhagiae [65.3% (32/49)], Grippotyphosa [40.8% (20/49)], and Pomona [40.8% (20/49)]. In conclusion, our results showed thatLeptospiraspp. are present in unowned dogs worldwide; however, the low-methodological quality of the recovered cross-sectional studies precluded a meta-analysis.
Intellectual History and the Fascism Debate: On Analogies and Polemic
Authors: Greenberg Udi
Published: June 2022

Over the last few years, scholars have intensely debated whether the contemporary radical right should be described as fascist. While some have insisted that its ideology, political strategy, and social basis strongly echo fascist precedents, others have insisted they substantially diverge from them. This essay explores the content and rhetoric of this dispute. It claims that the key fault line between proponents and opponents of the fascist label was not their intellectual or political agenda, but instead in their approach to political polemics. While some operated within the tradition of polemical writings and believed that the invocation of fascism was necessary for political mobilization, others remained skeptical of its value. The essay therefore situates the “fascism debate” in the long history of arguments over the value and limits of historical analogies and polemical writing.
Latino Growth and Whites’ Anti-Black Resentment
Authors: Abascal Maria
Published: June 2022

The size and especially the growth of the Latino population in the United States are associated with anti-Latino and anti-immigrant attitudes. Findings from a recent line of experimental work suggest that Latino growth may also be associated with Whites’ anti-Black attitudes. Racial status threat could account for this association if Whites view Latino growth as a potential challenge to their status within a multi-group system that includes Blacks. Alternatively, or in addition, by engendering instability and uncertainty, Latino growth may promote ideological conservatism, which itself predicts racial attitudes. Building on prior work, this study examines the association between real, local Latino population growth––as opposed to manipulated or perceived growth––and Whites’ anti-Black resentment for a nationally representative sample of White Americans. Using data from the 2018 Cooperative Congressional Election Survey, the study finds that Whites in counties where the Latino population grew more report stronger anti-Black resentment. They are also more likely to perceive a threat to Whites’ racial status and to endorse ideological conservatism. Perceived threat and conservatism each partially account for the association between Latino growth and anti-Black resentment, suggesting the effect of Latino growth on anti-Black resentment is mediated through both channels.
The Effects of Pandemic-Related Fear on Social Connectedness Through	Social Media Use and Self-Disclosure
Authors: Wu-Ouyang Biying , Hu Yang
Published: June 2022

Abstract: In light of the prolonged period of social distancing and highly mediated communication patterns during the COVID-19 pandemic, this study sought to understand how pandemic-related fear affects social connectedness. Drawing from the Internet-enhanced self-disclosure and fear-eliciting affiliation hypotheses, survey findings from a stratified sample collected among Hong Kong university students ( N = 310) revealed that pandemic-related fear positively influences social connectedness not only through self-disclosure but also through the combination of information seeking and self-disclosure. Social interaction, however, does not mediate the relationship between fear and social connectedness on its own. Overall, we argue that fear motivated people to seek information, self-disclose, and articulate connectedness with society. During this process, social media provided an essential ground and self-disclosure proved a viable tool. This study demonstrated that negative emotions aroused in crisis situations might result in constructive behaviors, which is contingent on how people react to mitigate the negative consequences.
Salinity Variability Modes in the Pacific Ocean From the Perspectives of the Interdecadal Pacific Oscillation and Global Warming
Authors: Shi H. Y. , Du L. , Ni X. B.
Published: June 2022

Ocean salinity can be used as an important indicator of climate change by measuring the global hydrological cycle. In our research, observations and reanalysis data sets are applied to determine that, from 1950 to 2018, long‐term salinity change in the upper tropical Pacific Ocean was dominated by two empirical orthogonal function (EOF) leading modes on decadal to longer time scales. The first leading mode is defined as the decadal mode, which is related to the Interdecadal Pacific Oscillation (IPO). Additionally, the second leading mode is a global warming‐related mode. The decadal mode is highly correlated with the IPO index and its decadal fluctuation significantly enhanced after the 1990s. Salinity budget analyses demonstrate that the freshwater flux term is the major contribution to decadal salinity change. We also proposed that the importance of ocean circulation modulation tends to be increasingly significant after the 1990s. The relative importance of the two salinity modes reversed over the upper 400 m. The global warming‐related mode strengthened and became the dominant mode in the subsurface ocean, while the decadal mode weakened. The subsurface freshening is mainly induced by diapycnal mixing and the poleward migration of the ventilated region. Both of these processes were seen in subsurface isopycnal layers, which reveals a connection between ocean interior dynamic modulation and climate change.
Mixed Layer Salinity Balance in the Eastern Tropical Indian Ocean
Authors: Zhang Zhengbei , Wang Jing , Yuan Dongliang
Published: June 2022

The mixed layer salinity (MLS) balance in the eastern tropical Indian Ocean is investigated using observations and output from the Estimating the Circulation and Climate of the Ocean model. The results suggest that the annual mean MLS is determined by the balance between the surface freshwater forcing and ocean advection. The seasonal MLS variation in the eastern equatorial Indian Ocean is driven strongly by salt advection associated with the Wyrtki Jet in spring and fall despite weak seasonal cycles of precipitation and evaporation over this region. Off the south Java coast, the MLS is the lowest in summer, due to the advection of freshwater southward associated with the meridional currents, whereas it reaches the maximum in fall, due to strong evaporation. During the negative Indian Ocean Dipole (IOD), the anomalous eastward currents transported high‐salinity water to the east, generating positive MLS anomalies in the eastern tropical Indian Ocean. The regional evaporation minus precipitation anomalies were negative, which reduced the MLS. The MLS balance during the positive IOD is found to be nearly a mirror reflection of that during the negative IOD.
Natural Time Analysis and Nowcasting of Quasi‐Periodic Collapse Events During the 2018 Kīlauea Volcano Eruptive Sequence
Authors: Fildes Rebecca A. , Turcotte Donald L. , Rundle John B.
Published: June 2022

The period of heightened volcanic and seismic activity at Kīlauea volcano on the island of Hawai’i, USA from late spring through summer 2018 included a remarkable quasi‐periodic sequence of caldera collapse events. From mid‐May to early‐August, 62 collapse events, each releasing the seismic energy equivalent of a Mw 5.0 ± 0.4 earthquake, occurred about every 1–2 days with over 300 M ≥ 2.5 earthquakes between sequential collapses. This region, experiencing very high rates of seismicity and frequent large magnitude events, is a good candidate to apply a regional seismic hazard assessment. Nowcasting is a type of statistical analysis that uses small magnitude events to estimate the occurrence of large magnitude events. This is done utilizing the concept of natural time in which time is counted by small magnitude event occurrences between large magnitude events, not in clock time (days passed). This method has produced a “nowcasted” set of large earthquakes that are in good agreement with the actual cataloged events in prior studies analyzing non‐volcanic regions. Previously applied to tectonic earthquakes and induced seismicity over longer time frames, this is the first test of nowcasting large caldera collapse events in volcanic associated seismicity and on a relatively short time scale. The technique produced limited “success” nowcasting 37 collapse events that agreed with the catalog of actual events. A temporal dependence of successful nowcasting during the sequence was found that may correlate to previously identified and analyzed physical changes in the volcanic system.
Tunable liquid crystal grating based holographic 3D display system with wide viewing angle and large size
Authors: Li Yi-Long , Li Nan-Nan , Wang Di , Chu Fan , Lee Sin-Doo , Zheng Yi-Wei , Wang Qiong-Hua
Published: June 2022

As one of the most ideal display approaches, holographic 3-dimensional (3D) display has always been a research hotspot since the holographic images reproduced in such system are very similar to what humans see the actual environment. However, current holographic 3D displays suffer from critical bottlenecks of narrow viewing angle and small size. Here, we propose a tunable liquid crystal grating-based holographic 3D display system with wide viewing angle and large size. Our tunable liquid crystal grating, providing an adjustable period and the secondary diffraction of the reconstructed image, enables to simultaneously implement two different hologram generation methods in achieving wide viewing angle and enlarged size, respectively. By using the secondary diffraction mechanism of the tunable liquid crystal grating, the proposed system breaks through the limitations of narrow viewing angle and small size of holographic 3D display. The proposed system shows a viewing angle of 57.4°, which is nearly 7 times of the conventional case with a single spatial light modulator, and the size of the reconstructed image is enlarged by about 4.2. The proposed system will have wide applications in medical diagnosis, advertising, education and entertainment and other fields.
Pleistocene drivers of Northwest African hydroclimate and vegetation
Authors: O’Mara Nicholas A. , Skonieczny Charlotte , McGee David , Winckler Gisela , Bory Aloys J.-M. , Bradtmiller Louisa I. , Malaizé Bruno , Polissar Pratigya J.
Published: June 2022

Savanna ecosystems were the landscapes for human evolution and are vital to modern Sub-Saharan African food security, yet the fundamental drivers of climate and ecology in these ecosystems remain unclear. Here we generate plant-wax isotope and dust flux records to explore the mechanistic drivers of the Northwest African monsoon, and to assess ecosystem responses to changes in monsoon rainfall and atmospheric pCO2. We show that monsoon rainfall is controlled by low-latitude insolation gradients and that while increases in precipitation are associated with expansion of grasslands into desert landscapes, changes in pCO2 predominantly drive the C3/C4 composition of savanna ecosystems.
Meeting sustainable development goals via robotics and autonomous systems
Authors: Guenat Solène , Purnell Phil , Davies Zoe G. , Nawrath Maximilian , Stringer Lindsay C. , Babu Giridhara Rathnaiah , Balasubramanian Muniyandi , Ballantyne Erica E. F. , Bylappa Bhuvana Kolar , Chen Bei , De Jager Peta , Del Prete Andrea , Di Nuovo Alessandro , Ehi-Eromosele Cyril O. , Eskandari Torbaghan Mehran , Evans Karl L. , Fraundorfer Markus , Haouas Wissem , Izunobi Josephat U. , Jauregui-Correa Juan Carlos , Kaddouh Bilal Y. , Lewycka Sonia , MacIntosh Ana C. , Mady Christine , Maple Carsten , Mhiret Worku N. , Mohammed-Amin Rozhen Kamal , Olawole Olukunle Charles , Oluseyi Temilola , Orfila Caroline , Ossola Alessandro , Pfeifer Marion , Pridmore Tony , Rijal Moti L. , Rega-Brodsky Christine C. , Robertson Ian D. , Rogers Christopher D. F. , Rougé Charles , Rumaney Maryam B. , Seeletso Mmabaledi K. , Shaqura Mohammed Z. , Suresh L. M. , Sweeting Martin N. , Taylor Buck Nick , Ukwuru M. U. , Verbeek Thomas , Voss Hinrich , Wadud Zia , Wang Xinjun , Winn Neil , Dallimer Martin
Published: June 2022

Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management. While they will play a fundamental role in delivering the UN Sustainable Development Goals, associated opportunities and threats are yet to be considered systematically. We report on a horizon scan evaluating robotics and autonomous systems impact on all Sustainable Development Goals, involving 102 experts from around the world. Robotics and autonomous systems are likely to transform how the Sustainable Development Goals are achieved, through replacing and supporting human activities, fostering innovation, enhancing remote access and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions and reducing freedom and privacy through inadequate governance. Although predicting future impacts of robotics and autonomous systems on the Sustainable Development Goals is difficult, thoroughly examining technological developments early is essential to prevent unintended detrimental consequences. Additionally, robotics and autonomous systems should be considered explicitly when developing future iterations of the Sustainable Development Goals to avoid reversing progress or exacerbating inequalities.
An unexpected dual-emissive luminogen with tunable aggregation-induced emission and enhanced chiroptical property
Authors: Zhang Xinyu , Liu Huiqing , Zhuang Guilin , Yang Shangfeng , Du Pingwu
Published: June 2022

In the literature, organic materials with both aggregation-induced emission (AIE) and aggregation-caused quenching (ACQ) effects that can emit with multiple bands both in the solution and aggregated state are rarely reported. Herein we report a novel chiral dual-emissive bismacrocycle with tunable aggregation-induced emission colors. A facile four-step synthesis strategy is developed to construct this rigid bismacrocycle, (1,4)[8]cycloparaphenylenophane (SCPP[8]), which possesses a 1,2,4,5-tetraphenylbenzene core locked by two intersecting polyphenylene-based macrocycles. The luminescent behavior of SCPP[8] shows the unique characteristics of both ACQ effect and AIE effect, inducing remarkable redshift emission with near white-light emission. SCPP[8] is configurationally stable and possesses a novel shape-persistent bismacrocycle scaffold with a high strain energy. In addition, SCPP[8] displays enhanced circularly polarized luminescence properties due to AIE effect.
MicroRNA-21 promotes pancreatic β cell function through modulating glucose uptake
Authors: Liu Ruiling , Liu Cuilian , He Xiaozhen , Sun Peng , Zhang Bin , Yang Haoran , Shi Weiyun , Ruan Qingguo
Published: June 2022

Pancreatic β cell dysfunction contributes to the pathogenesis of type 2 diabetes. MiR-21 has been shown to be induced in the islets of glucose intolerant patients and type 2 diabetic mice. However, the role of miR-21 in the regulation of pancreatic β cell function remains largely elusive. In the current study, we identify the pathway by which miR-21 regulates glucose-stimulated insulin secretion utilizing mice lacking miR-21 in their β cells (miR-21βKO). We find that miR-21βKO mice develop glucose intolerance due to impaired glucose-stimulated insulin secretion. Mechanistic studies reveal that miR-21 enhances glucose uptake and subsequently promotes insulin secretion by up-regulating Glut2 expression in a miR-21-Pdcd4-AP-1 dependent pathway. Over-expression of Glut2 in knockout islets results in rescue of the impaired glucose-stimulated insulin secretion. Furthermore, we demonstrate that delivery of miR-21 into the pancreas of type 2 diabetic db/db male mice is able to promote Glut2 expression and reduce blood glucose level. Taking together, our results reveal that miR-21 in islet β cell promotes insulin secretion and support a role for miR-21 in the regulation of pancreatic β cell function in type 2 diabetes.
The NEON Daily Isotopic Composition of Environmental Exchanges Dataset
Authors: Finkenbiner Catherine E. , Li Bonan , Spencer Lindsey , Butler Zachariah , Haagsma Marja , Fiorella Richard P. , Allen Scott T. , Anderegg William , Still Christopher J. , Noone David , Bowen Gabriel J. , Good Stephen P.
Published: June 2022

The National Ecological Observatory Network (NEON) provides open-access measurements of stable isotope ratios in atmospheric water vapor (δ2H, δ18O) and carbon dioxide (δ13C) at different tower heights, as well as aggregated biweekly precipitation samples (δ2H, δ18O) across the United States. These measurements were used to create the NEON Daily Isotopic Composition of Environmental Exchanges (NEON-DICEE) dataset estimating precipitation (P; δ2H, δ18O), evapotranspiration (ET; δ2H, δ18O), and net ecosystem exchange (NEE; δ13C) isotope ratios. Statistically downscaled precipitation datasets were generated to be consistent with the estimated covariance between isotope ratios and precipitation amounts at daily time scales. Isotope ratios in ET and NEE fluxes were estimated using a mixing-model approach with calibrated NEON tower measurements. NEON-DICEE is publicly available on HydroShare and can be reproduced or modified to fit user specific applications or include additional NEON data records as they become available. The NEON-DICEE dataset can facilitate understanding of terrestrial ecosystem processes through their incorporation into environmental investigations that require daily δ2H, δ18O, and δ13C flux data.
Real-world sensor dataset for city inbound-outbound critical intersection analysis
Authors: Mon Ei Ei , Ochiai Hideya , Komolkiti Patrachart , Aswakul Chaodit
Published: June 2022

This paper reports the release of dataset that describes the critical city inbound-outbound intersection in the central business district’s Sathorn area of Bangkok, Thailand. The available traffic volume and occupancy are captured by sensors located on the Sathorn area’s links. Induction loop coil sensors and thermal and CCTV cameras have been installed at the approaching links of the critical Sathorn-Surasak intersection. Traffic volume data have been collected from the CCTV cameras every 5 s from 2016 to 2019, and occupancy and volume data have been collected from the loop coil sensors every 5 s from May to September 2016 during a social experiment that was part of Sathorn Model project. Occupancy and volume data have also been collected from the thermal cameras every 5 s from May to June 2016. The dataset provides temporal and spatial coverage of Sathorn Road’s primary urban areas, including weekdays, weekends, and public holidays. This dataset can be resources for research on traffic state estimation, traffic light control optimization, and the analysis of critical intersections.
Scaling up SoccerNet with multi-view spatial localization and re-identification
Authors: Cioppa Anthony , Deliège Adrien , Giancola Silvio , Ghanem Bernard , Van Droogenbroeck Marc
Published: June 2022

Soccer videos are a rich playground for computer vision, involving many elements, such as players, lines, and specific objects. Hence, to capture the richness of this sport and allow for fine automated analyses, we release SoccerNet-v3, a major extension of the SoccerNet dataset, providing a wide variety of spatial annotations and cross-view correspondences. SoccerNet’s broadcast videos contain replays of important actions, allowing us to retrieve a same action from different viewpoints. We annotate those live and replay action frames showing same moments with exhaustive local information. Specifically, we label lines, goal parts, players, referees, teams, salient objects, jersey numbers, and we establish player correspondences between the views. This yields 1,324,732 annotations on 33,986 soccer images, making SoccerNet-v3 the largest dataset for multi-view soccer analysis. Derived tasks may benefit from these annotations, like camera calibration, player localization, team discrimination and multi-view re-identification, which can further sustain practical applications in augmented reality and soccer analytics. Finally, we provide Python codes to easily download our data and access our annotations.
Insulin signaling shapes fractal scaling of C. elegans behavior
Authors: Arata Yukinobu , Shiga Itsuki , Ikeda Yusaku , Jurica Peter , Kimura Hiroshi , Kiyono Ken , Sako Yasushi
Published: June 2022

Fractal scaling in animal behavioral activity, where similar temporal patterns appear repeatedly over a series of magnifications among time scales, governs the complex behavior of various animal species and, in humans, can be altered by neurodegenerative diseases and aging. However, the mechanism underlying fractal scaling remains unknown. Here, we culturedC. elegansin a microfluidic device for 3 days and analyzed temporal patterns ofC. elegansactivity by fractal analyses. The residence-time distribution ofC. elegansbehaviors shared a common feature with those of human and mice. Specifically, the residence-time power-law distribution of the active state changed to an exponential-like decline at a longer time scale, whereas the inactive state followed a power-law distribution. An exponential-like decline appeared with nutrient supply in wild-type animals, whereas this decline disappeared in insulin-signaling-defectivedaf-2anddaf-16mutants. The absolute value of the power-law exponent of the inactive state distribution increased with nutrient supply in wild-type animals, whereas the value decreased indaf-2anddaf-16mutants. We conclude that insulin signaling differentially affects mechanisms that determine the residence time in active and inactive states inC. elegansbehavior. In humans, diabetes mellitus, which is caused by defects in insulin signaling, is associated with mood disorders that affect daily behavioral activities. We hypothesize that comorbid behavioral defects in patients with diabetes may be attributed to altered fractal scaling of human behavior.
Cranial defect and pneumocephalus are associated with significant postneurosurgical positional brain shift: evaluation using upright computed tomography
Authors: Yoshida Keisuke , Toda Masahiro , Yamada Yoshitake , Yamada Minoru , Yokoyama Yoichi , Tsutsumi Kei , Fujiwara Hirokazu , Kosugi Kenzo , Jinzaki Masahiro
Published: June 2022

Only few studies have assessed brain shift caused by positional change. This study aimed to identify factors correlated with a large postneurosurgical positional brain shift (PBS). Sixty-seven patients who underwent neurosurgical procedures had upright computed tomography (CT) scan using settings similar to those of conventional supine CT. The presence of a clinically significant PBS, defined as a brain shift of ≥ 5 mm caused by positional change, was evaluated. The clinical and radiological findings were investigated to identify factors associated with a larger PBS. As a result, twenty-one patients had a clinically significant PBS. The univariate analysis showed that supratentorial lesion location, intra-axial lesion type, craniectomy procedure, and residual intracranial air were the predictors of PBS. Based on the multivariate analysis, craniectomy procedure (p < 0.001) and residual intracranial air volume (p = 0.004) were the predictors of PBS. In a sub-analysis of post-craniectomy patients, PBS was larger in patients with supratentorial craniectomy site and parenchymal brain injury. A large craniectomy area and long interval from craniectomy were correlated with the extent of PBS. In conclusion, patients who undergo craniectomy and those with residual intracranial air can present with a large PBS. In post-craniectomy patients, the predisposing factors of a large PBS are supratentorial craniectomy, presence of parenchymal injury, large skull defect area, and long interval from craniectomy. These findings can contribute to safe mobilization among postneurosurgical patients and the risk assessment of sinking skin flap syndrome.
Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction
Authors: Heng Seah Yi , Ridwan Wanie M. , Kumar Pavitra , Ahmed Ali Najah , Fai Chow Ming , Birima Ahmed Hussein , El-Shafie Ahmed
Published: June 2022

Solar energy serves as a great alternative to fossil fuels as they are clean and renewable energy. Accurate solar radiation (SR) prediction can substantially lower down the impact cost pertaining to the development of solar energy. Lately, many SR forecasting system has been developed such as support vector machine, autoregressive moving average and artificial neural network (ANN). This paper presents a comprehensive study on the meteorological data and types of backpropagation (BP) algorithms used to train and develop the best SR predicting ANN model. The meteorological data, which includes temperature, relative humidity and wind speed are collected from a meteorological station from Kuala Terrenganu, Malaysia. Three different BP algorithms are employed into training the model i.e., Levenberg–Marquardt, Scaled Conjugate Gradient and Bayesian Regularization (BR). This paper presents a comparison study to select the best combination of meteorological data and BP algorithm which can develop the ANN model with the best predictive ability. The findings from this study shows that temperature and relative humidity both have high correlation with SR whereas wind temperature has little influence over SR. The results also showed that BR algorithm trained ANN models with maximum R of 0.8113 and minimum RMSE of 0.2581, outperform other algorithm trained models, as indicated by the performance score of the respective models.
In vitro triple coculture with gut microbiota from spondyloarthritis patients is characterized by inter-individual differences in inflammatory responses
Authors: Beterams Annelore , Calatayud Arroyo Marta , De Paepe Kim , De Craemer Ann-Sophie , Elewaut Dirk , Venken Koen , Van de Wiele Tom
Published: June 2022

Spondyloarthritis is a group of chronic inflammatory diseases that primarily affects axial or peripheral joints and is frequently associated with inflammation at non-articular sites. The disease is multifactorial, involving genetics, immunity and environmental factors, including the gut microbiota. In vivo, microbiome contributions are difficult to assess due to the multifactorial disease complexity. In a proof-of-concept approach, we therefore used a triple coculture model of immune-like, goblet and epithelial cells to investigate whether we could detect a differential impact from spondyloarthritis- vs. healthy-derived gut microbiota on host cell response. Despite their phylogenetic resemblance, flow cytometry-based phenotypic clustering revealed human-derived gut microbiota from healthy origin to cluster together and apart from spondyloarthritis donors. At host level, mucus production was higher upon exposure to healthy microbiota. Pro-inflammatory cytokine responses displayed more inter-individual variability in spondyloarthritis than in healthy donors. Interestingly, the high dominance in the initial sample of one patient of Prevotella, a genus previously linked to spondyloarthritis, resulted in the most differential host response upon 16 h host-microbe coincubation. While future research should further focus on inter-individual variability by using gut microbiota from a large cohort of patients, this study underscores the importance of the gut microbiota during the SpA disease course.
Designing grazing susceptibility to land degradation index (GSLDI) in hilly areas
Authors: Minea Gabriel , Ciobotaru Nicu , Ioana-Toroimac Gabriela , Mititelu-Ionuș Oana , Neculau Gianina , Gyasi-Agyei Yeboah , Rodrigo-Comino Jesús
Published: June 2022

Evaluation of grazing impacts on land degradation processes is a difficult task due to the heterogeneity and complex interacting factors involved. In this paper, we designed a new methodology based on a predictive index of grazing susceptibility to land degradation index (GSLDI) built on artificial intelligence to assess land degradation susceptibility in areas affected by small ruminants (SRs) of sheep and goats grazing. The data for model training, validation, and testing consisted of sampling points (erosion and no-erosion) taken from aerial imagery. Seventeen environmental factors (e.g., derivatives of the digital elevation model, small ruminants’ stock), and 55 subsequent attributes (e.g., classes/features) were assigned to each sampling point. The impact of SRs stock density on the land degradation process has been evaluated and estimated with two extreme SRs’ density scenarios: absence (no stock), and double density (overstocking). We applied the GSLDI methodology to the Curvature Subcarpathians, a region that experiences the highest erosion rates in Romania, and found that SRs grazing is not the major contributor to land degradation, accounting for only 4.6%. This methodology could be replicated in other steep slope grazing areas as a tool to assess and predict susceptible to land degradation, and to establish common strategies for sustainable land-use practices.
HIF-1α-mediated augmentation of miRNA-18b-5p facilitates proliferation and metastasis in osteosarcoma through attenuation PHF2
Authors: Luo Peng , Zhang Yan-dong , He Feng , Tong Chang-jun , Liu Kai , Liu He , Zhu Shi-zhuang , Luo Jian-zhou , Yuan Bing
Published: June 2022

Extensive evidence has explored the involvement of microRNAs (miRNAs) in osteosarcoma (OS). Limitedly, the concrete function of microRNA-18b-5p (miR-18b-5p) in OS remains unexplored and largely elusive. Here, we validated that miR-18b-5p significantly elevated in OS via analyzing the data from GEO database. The results showed that miR-18b-5p was overexpressed in human OS tissues and cell lines. The clinical evidence suggested that high level of miR-18b-5p was negatively correlated with the poor prognosis of OS. Meanwhile, miR-18b-5p upregulation facilitated the proliferation and metastasis of OS cells in vitro and in vivo. The mechanism exploration demonstrated that miR-18b-5p acted as a potential inhibitor of PHF2, a tumor suppressor gene, at post-transcriptional level. Moreover, hypoxia induced gene expression of miR-18b-5p was clarified to be transcriptionally mediated by HIF-1α. The clinicopathological analysis in samples of OS patients further supported that miR-18b-5p had a positive correlation with HIF-1α expression, and negative correlation with PHF2. Collectively, the present study uncovered a new molecular mechanism of OS tumorigenesis and development and miR-18b-5p might be a prognostic biomarker and potential therapeutic target for OS treatment.
Effects of thickness reduction in cold rolling process on the formability of sheet metals using ANFIS
Authors: Xie Yichen , Wu Yuping , Jalali Arman , Zhou Huajie , Amine Khadimallah Mohamed
Published: June 2022

Cold rolling has detrimental effect on the formability of sheet metals. It is, however, inevitable in producing sheet high quality surfaces. The effects of cold rolling on the forming limits of stretch sheets are not investigated comprehensively in the literature. In this study, a through experimental study is conducted to observe the effect of different cold rolling thickness reduction on the formability of sheet metals. Since the experimental procedure of such tests are costly, an artificial intelligence is also adopted to predict effects of cold thickness reduction on the formability of the sheet metals. In this regard, St14 sheets are examined using tensile, metallography, cold rolling and Nakazima’s hemi-sphere punch experiments. The obtained data are further utilized to train and test an adaptive neural network fuzzy inference system (ANFIS) model. The results indicate that cold rolling reduces the formability of the sheet metals under stretch loading condition. Moreover, the tensile behavior of the sheet alters considerably due to cold thickness reduction of the same sheet metal. The trained ANFIS model also successfully trained and tested in prediction of forming limits diagrams. This model could be used to determine forming limit strains in other thickness reduction conditions. It is discussed that determination of forming limit diagrams is not an intrinsic property of a chemical composition of the sheet metals and many other factors must be taken into account.