bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transnationalization of Opposition Strategy under Competitive Authoritarianism: Evidence from Turkey and Hungary
Authors: Ayan Musil Pelin , Yardımcı-Geyikçi Şebnem 
Published: July 2023

AbstractDespite a growing body of literature on the advancement of autocratic tactics and toolkits in competitive authoritarian regimes (CARs), we lack sufficient knowledge on the strategies that the opposition builds against populist-authoritarian governments. Using two top autocratizing cases – Turkey and Hungary – this article singles out ‘transnationalization’ as one such novel strategy. ‘Transnationalization’ is defined as a strategy through which opposition-led subnational executives transform local and global boundaries by consciously forming a link with the liberal-democratic world in order to expand their space for manoeuvre. Conducting a qualitative content analysis of the Istanbul and Budapest mayors' international Twitter accounts and using evidence from elite interviews with officials from Istanbul and Budapest municipalities, we demonstrate the material, symbolic and political means of this strategy and the rationalist and normative motivations behind it. By discussing the what, how and why of a transnationalization strategy, we fill an important gap in the scholarship regarding opposition strategies in CARs.
A rare disease detected in a school-age child aortopulmonary window with anomalous right coronary artery from the pulmonary artery
Authors: Arslan Perver , Atik Ugan Sezen , Guzeltas Alper 
Published: July 2023

AbstractAortopulmonary window is a condition characterized by a communication between the pulmonary artery and the ascending aorta. The coexistence of aortopulmonary window and an anomalous right coronary artery originating from the pulmonary artery is rarely observed together, as mentioned in previous studies. In this report, we aim to describe our diagnostic and treatment experiences with a 6-year-old patient diagnosed with aortopulmonary window associated with an abnormal origin of the right coronary artery from the pulmonary artery.
Relationship between insulin and Netrin-1/DCC guidance cue pathway regulation in the prefrontal cortex of rodents exposed to prenatal dietary restriction
Authors: Batra Aashita , Cuesta Santiago , Alves Marcio Bonesso , Restrepo Jose Maria , Giroux Michel , Laureano Daniela Pereira , Mucellini Lovato Amanda Brondani , Miguel Patrícia Maidana , Machado Tania Diniz , Dalle Molle Roberta , Flores Cecilia , Silveira Patricia Pelufo 
Published: July 2023

AbstractFetal restriction (FR) alters insulin sensitivity, but it is unknown how the metabolic profile associated with restriction affects development of the dopamine (DA) system and DA-related behaviors. The Netrin-1/DCC guidance cue system participates in maturation of the mesocorticolimbic DA circuitry. Therefore, our objective was to identify if FR modifies Netrin-1/DCC receptor protein expression in the prefrontal cortex (PFC) at birth and mRNA in adulthood in rodent males. We used cultured HEK293 cells to assess if levels of miR-218, microRNA regulator of DCC, are sensitive to insulin. To assess this, pregnant dams were subjected to a 50% FR diet from gestational day 10 until birth. Medial PFC (mPFC) DCC/Netrin-1 protein expression was measured at P0 at baseline and Dcc/Netrin-1 mRNA levels were quantified in adults 15 min after a saline/insulin injection. miR-218 levels in HEK-293 cells were measured in response to insulin exposure. At P0, Netrin-1 levels are downregulated in FR animals in comparison to controls. In adult rodents, insulin administration results in an increase in Dcc mRNA levels in control but not FR rats. In HEK293 cells, there is a positive correlation between insulin concentration and miR-218 levels. Since miR-218 is a Dcc gene expression regulator and our in vitro results show that insulin regulates miR-218 levels, we suggest that FR-induced changes in insulin sensitivity could be affecting Dcc expression via miR-218, impacting DA system maturation and organization. As fetal adversity is linked to nonadaptive behaviors later in life, this may contribute to early identification of vulnerability to chronic diseases associated with fetal adversity.
Point-defect-driven flattened polar phonon bands in fluorite ferroelectrics
Authors: Ai Pu , Yan Fengjun , Dong Wen , Liu Shi , Zhao Junlei , Xue Kan-Hao , Bakhtiar Syed Ul Hasnain , Liu Yilong , Ma Qi , Miao Ling , Hua Mengyuan , Zhang Guangzu , Jiang Shenglin , Luo Wei , Fu Qiuyun 
Published: July 2023

AbstractThe scale-free ferroelectric polarization of fluorite MO2 (M = Hf, Zr) due to flat polar phonon bands are promising for nonvolatile memories. Defects are also widely introduced to improve the emergent ferroelectricity. However, their roles are still not fully understood at the atomic-level. Here, we report a significant effect of point-defect-driven flattening of polar phonon bands with more polar modes and polarization contribution in doped MO2. The polar phonon bands in La-doped MO2 (M = Hf, Zr) can be significantly flattened, compared with pure ones. However, the lower energy barrier with larger polarization of VO-only doped MO2 compared with La-doped cases suggest that VO and local lattice distortion should be balanced for high-performance fluorite ferroelectricity. The work is believed to bridge the relation between point defects and the generally enhanced induced ferroelectricity in fluorite ferroelectrics at the atomic-level and inspire their further property optimization via defect-engineering.
Spin-phonon decoherence in solid-state paramagnetic defects from first principles
Authors: Mondal Sourav , Lunghi Alessandro 
Published: July 2023

AbstractParamagnetic defects in diamond and hexagonal boron nitride possess a combination of spin and optical properties that make them prototypical solid-state qubits. Despite the coherence of these spin qubits being critically limited by spin-phonon relaxation, a full understanding of this process is not yet available. Here we apply ab initio spin dynamics simulations to this problem and quantitatively reproduce the experimental temperature dependence of spin relaxation time and spin coherence time. We demonstrate that low-frequency two-phonon modulations of the zero-field splitting are responsible for spin relaxation and decoherence, and point to the nature of vibrations in 2-dimensional materials as the culprit for their shorter coherence time. These results provide an interpretation to spin-phonon decoherence in solid-state paramagnetic defects, offer a strategy to correctly interpret experimental results, and pave the way for the accelerated design of spin qubits.
YF17D-vectored Ebola vaccine candidate protects mice against lethal surrogate Ebola and yellow fever virus challenge
Authors: Lemmens Viktor , Kelchtermans Lara , Debaveye Sarah , Chiu Winston , Vercruysse Thomas , Ma Ji , Thibaut Hendrik Jan , Neyts Johan , Sanchez-Felipe Lorena , Dallmeier Kai 
Published: July 2023

AbstractEbola virus (EBOV) and related filoviruses such as Sudan virus (SUDV) threaten global public health. Effective filovirus vaccines are available only for EBOV, yet restricted to emergency use considering a high reactogenicity and demanding logistics. Here we present YF-EBO, a live YF17D-vectored dual-target vaccine candidate expressing EBOV glycoprotein (GP) as protective antigen. Safety of YF-EBO in mice was further improved over that of parental YF17D vaccine. A single dose of YF-EBO was sufficient to induce high levels of EBOV GP-specific antibodies and cellular immune responses, that protected against lethal infection using EBOV GP-pseudotyped recombinant vesicular stomatitis virus (rVSV-EBOV) in interferon-deficient (Ifnar-/-) mice as surrogate challenge model. Concomitantly induced yellow fever virus (YFV)-specific immunity protected Ifnar-/- mice against intracranial YFV challenge. YF-EBO could thus help to simultaneously combat both EBOV and YFV epidemics. Finally, we demonstrate how to target other highly pathogenic filoviruses such as SUDV at the root of the 2022 outbreak in Uganda.
One-year longitudinal study of the stratum corneum proteome of retinol and all-trans-retinoic acid treated human skin: an orchestrated molecular event
Authors: Abed Kahina , Foucher Aude , Bernard Dominique , Tancrède-Bohin Emmanuelle , Cavusoglu Nükhet 
Published: July 2023

AbstractTopically applied all-trans-retinoic acid (RA) is a gold-standard anti-aging molecule used in dermatology. As its cosmetic counterpart used in anti-aging, Retinol (ROL) is also a known metabolic precursor of RA. Despite this metabolic link, they haven’t been compared exhaustively in vivo at a mechanistic level. Therefore, to highlight the effect of a topical application of both molecules on in vivo skin, we undertook a longitudinal 1-year study and performed an untargeted proteomic analysis to get a more holistic view on the underlying biological mechanisms of action. The generation of the temporal proteomics signatures of retinol and all-trans-retinoic acid reveals the impact of these molecules on biological functions related to the aging of skin. New biological functions impacted by retinoids were discovered: glycan metabolism and protein biosynthesis. In addition, the temporal analysis reveals highest modulations at early time points while the physical measures, such as epidermal thickening, was mostly observed at the latest time point, demonstrating a strong time lapse between molecular and morphological impacts. Finally, these global temporal signatures could be used to identify new cosmetic compounds of interest.
Inter-nesting, migration, and foraging behaviors of green turtles (Chelonia mydas) in the central-southern Red Sea
Authors: Tanabe Lyndsey K. , Cochran Jesse E. M. , Berumen Michael L. 
Published: July 2023

AbstractSea turtles are migratory with nesting and foraging areas in distinct and often widely separated habitats. Telemetry has been a vital tool for tracking sea turtle migrations between these areas, but tagging efforts are often focused on only a few large rookeries in a given region. For instance, turtle tagging in the Red Sea has been focused in the north of the basin. We tagged five green turtles (Chelonia mydas) at a nesting site in the central-southern Red Sea and tracked them for 72–243 days. During the inter-nesting period, the turtles showed high site-fidelity, with a maximum home range of 161 km2. After the nesting season, the turtles migrated up to 1100 km to five distinct foraging locations in three countries (Saudi Arabia, Sudan, and Eritrea). Movements within foraging habitats were more wide-ranging compared to inter-nesting movements, with home ranges varying between 1.19 and 931 km2. The tracking data revealed that the creation of a relatively small marine reserve could protect the critical inter-nesting habitat in the Farasan Banks. The results also highlight the need for multinational collaboration to protect migratory corridors and foraging sites of this endangered species.
A biomechanics-based parametrized cardiac end-diastolic pressure–volume relationship for accurate patient-specific calibration and estimation
Authors: Chapelle Dominique , Le Gall Arthur 
Published: July 2023

AbstractA simple power law has been proposed in the pioneering work of Klotz et al. (Am J Physiol Heart Circ Physiol 291(1):H403–H412, 2006) to approximate the end-diastolic pressure–volume relationship of the left cardiac ventricle, with limited inter-individual variability provided the volume is adequately normalized. Nevertheless, we use here a biomechanical model to investigate the sources of the remaining data dispersion observed in the normalized space, and we show that variations of the parameters of the biomechanical model realistically account for a substantial part of this dispersion. We therefore propose an alternative law based on the biomechanical model that embeds some intrinsic physical parameters, which directly enables personalization capabilities, and paves the way for related estimation approaches.
Perceived realism of haptic rendering methods for bimanual high force tasks: original and replication study
Authors: Lorenz Mario , Hoffmann Andrea , Kaluschke Maximilian , Ziadeh Taha , Pillen Nina , Kusserow Magdalena , Perret Jérôme , Knopp Sebastian , Dettmann André , Klimant Philipp , Zachmann Gabriel , Bullinger Angelika C. 
Published: July 2023

AbstractRealistic haptic feedback is a key for virtual reality applications in order to transition from solely procedural training to motor-skill training. Currently, haptic feedback is mostly used in low-force medical procedures in dentistry, laparoscopy, arthroscopy and alike. However, joint replacement procedures at hip, knee or shoulder, require the simulation of high-forces in order to enable motor-skill training. In this work a prototype of a haptic device capable of delivering double the force (35 N to 70 N) of state-of-the-art devices is used to examine the four most common haptic rendering methods (penalty-, impulse-, constraint-, rigid body-based haptic rendering) in three bimanual tasks (contact, rotation, uniaxial transition with increasing forces from 30 to 60 N) regarding their capabilities to provide a realistic haptic feedback. In order to provide baseline data, a worst-case scenario of a steel/steel interaction was chosen. The participants needed to compare a real steel/steel interaction with a simulated one. In order to substantiate our results, we replicated the study using the same study protocol and experimental setup at another laboratory. The results of the original study and the replication study deliver almost identical results. We found that certain investigated haptic rendering method are likely able to deliver a realistic sensation for bone-cartilage/steel contact but not for steel/steel contact. Whilst no clear best haptic rendering method emerged, penalty-based haptic rendering performed worst. For simulating high force bimanual tasks, we recommend a mixed implementation approach of using impulse-based haptic rendering for simulating contacts and combine it with constraint or rigid body-based haptic rendering for rotational and translational movements.
Virtual agents and risk-taking behavior in adolescence: the twofold nature of nudging
Authors: Di Dio Cinzia , Manzi Federico , Miraglia Laura , Gummerum Michaela , Bigozzi Simone , Massaro Davide , Marchetti Antonella 
Published: July 2023

AbstractPeer pressure can influence risk-taking behavior and it is particularly felt during adolescence. With artificial intelligence (AI) increasingly present in a range of everyday human contexts, including virtual environments, it is important to examine whether AI can have an impact on human’s decision making processes and behavior. By using the balloon analogue risk task (BART) evaluating propensity to take risk, in this study 113 adolescents' risk-taking behavior was measured when playing alone and in the presence of either a robot avatar or human avatar. In the avatar conditions, participants performed the BART while the avatars either (1) verbally incited risk-taking or (2) discouraged risk-taking (experimental tasks). Risk-taking behavior in the BART was assessed in terms of total number of pumps, gain and explosions. Tendency to impulsivity was also evaluated, as well as the effects of age and gender on risky behavior. The main finding showed a significant effect of both avatars on risk-taking tendency, with riskier behavior during incitement than discouragement conditions, the latter being also substantially different from the playing-alone condition. The results of this study open up new questions in a very sensitive and timely topic and offer various insights into the effect of nudging on adolescents’ behavior in virtual contexts.
A broadband circularly polarized Fabry Perot antenna with spatially separated superstrate area excitation for CubeSat applications
Authors: De Ratul , Abegaonkar Mahesh P. , Basu Ananjan 
Published: July 2023

AbstractThis article describes the development of a high-gain, broadband, circularly polarized Fabry–Perot cavity (FPC) antenna for high-data-rate communication in CubeSat/SmallSat applications. In this work, the concept of spatially separated superstrate area excitation is developed for the first time in FPC antennas. This concept is then validated and applied to increase the gain and the axial ratio bandwidth of a conventional narrowband circularly polarized source patch antenna. The antenna’s design leverages independent control of polarization at different frequencies, resulting in a large overall bandwidth. The fabricated prototype antenna provides right hand circular polarization with a peak measured gain of 15.73 dBic over a common bandwidth of 1.03 GHz ranging from 7.99 GHz to 9.02 GHz. The gain variation over the bandwidth is less than 1.3 dBic. The antenna measures 80 mm × 80 mm × 21.14 mm and is simple, lightweight, easily integrable with CubeSat body, and useful for X-Band data downlink. When integrated with the metallic body of a 1U CubeSat, the simulated gain of the antenna increases to 17.23 dBic, with a peak measured gain of 16.83 dBic. A deployment method is proposed for this antenna that results in a total stowed volume of only 2.13λo × 2.13λo × 0.084λo (0.38 $${\lambda }_{o}^{3}$$

λ

o

3

).
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Authors: Khunte Akshay , Sangha Veer , Oikonomou Evangelos K. , Dhingra Lovedeep S. , Aminorroaya Arya , Mortazavi Bobak J. , Coppi Andreas , Brandt Cynthia A. , Krumholz Harlan M. , Khera Rohan 
Published: July 2023

AbstractArtificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but frequently obtain noisy ECGs. We report a novel strategy that automates the detection of hidden cardiovascular diseases, such as LVSD, adapted for noisy single-lead ECGs obtained on wearable and portable devices. We use 385,601 ECGs for development of a standard and noise-adapted model. For the noise-adapted model, ECGs are augmented during training with random gaussian noise within four distinct frequency ranges, each emulating real-world noise sources. Both models perform comparably on standard ECGs with an AUROC of 0.90. The noise-adapted model performs significantly better on the same test set augmented with four distinct real-world noise recordings at multiple signal-to-noise ratios (SNRs), including noise isolated from a portable device ECG. The standard and noise-adapted models have an AUROC of 0.72 and 0.87, respectively, when evaluated on ECGs augmented with portable ECG device noise at an SNR of 0.5. This approach represents a novel strategy for the development of wearable-adapted tools from clinical ECG repositories.
Shark teeth zinc isotope values document intrapopulation foraging differences related to ontogeny and sex
Authors: McCormack Jeremy , Karnes Molly , Haulsee Danielle , Fox Dewayne , Kim Sora L. 
Published: July 2023

AbstractTrophic ecology and resource use are challenging to discern in migratory marine species, including sharks. However, effective management and conservation strategies depend on understanding these life history details. Here we investigate whether dental enameloid zinc isotope (δ66Znen) values can be used to infer intrapopulation differences in foraging ecology by comparing δ66Znenwith same-tooth collagen carbon and nitrogen (δ13Ccoll, δ15Ncoll) values from critically endangered sand tiger sharks (Carcharias taurus) from Delaware Bay (USA). We document ontogeny and sex-related isotopic differences indicating distinct diet and habitat use at the time of tooth formation. Adult females have the most distinct isotopic niche, likely feeding on higher trophic level prey in a distinct habitat. This multi-proxy approach characterises an animal’s isotopic niche in greater detail than traditional isotope analysis alone and shows that δ66Znenanalysis can highlight intrapopulation dietary variability thereby informing conservation management and, due to good δ66Znenfossil tooth preservation, palaeoecological reconstructions.
Correlated flat bands and quantum spin liquid state in a cluster Mott insulator
Authors: Hu Jiayu , Zhang Xuefeng , Hu Cong , Sun Jian , Wang Xiaoqun , Lin Hai-Qing , Li Gang 
Published: July 2023

AbstractFlat bands are rare in pristine solids and are unstable against electronic correlations or other types of long-range order. Unlike atomic-scale Hubbard systems or Moiré materials, where electronic correlations are either localized or long-ranged, pristine flat band systems with short-range interactions that do not break symmetry spontaneously are less known and intriguing. These systems could bridge the gap between atomic Mott insulators and Moiré correlated insulators, offering a unique platform to explore their mysterious relation. Using an analytical analysis, further verified by numerical calculations, we show that monolayer Nb3Cl8 is a unique flat band system with short-range interactions. We present clear evidence that it is a cluster Mott insulator, which nicely explains the electronic structure observed in angle-resolved photoemission spectroscopy. We further propose that monolayer Nb3Cl8 may constitute a rare example of molecular quantum spin liquid with flat bands.
Advanced spectroscopic techniques for characterizing defects in perovskite solar cells
Authors: Srivastava Saurabh , Ranjan Sudhir , Yadav Lokesh , Sharma Tejasvini , Choudhary Shivani , Agarwal Daksh , Singh Anand , Satapathi Soumitra , Gupta Raju Kumar , Garg Ashish , Nalwa Kanwar S. 
Published: July 2023

AbstractThere is currently substantial interest in commercializing perovskite solar cells as they offer superior properties over silicon-based solar cells, such as ability for bandgap tuning, higher absorption coefficients, and potentially lower manufacturing costs. However, trap states originating from ionic vacancies, imperfect interfaces, and grain boundaries have hampered their performance and long-term stability during operation. Identifying and quantifying defects in perovskite solar cells becomes inevitable to address these challenges and mitigate the deteriorating effects of these defects. This Review focuses on recent developments in optical and electrical characterization techniques employed for the investigation of defects in halide perovskites and the techniques to understand ion migration in devices. We focus on sample preparation, advantages, limitations, and the nature of information obtained from each of the spectroscopic techniques. This Review will enable the researchers to understand and identify suitable characterization techniques for characterizing defect concentrations and their energetic and spatial distribution in perovskite solar cells.
Fire may prevent future Amazon forest recovery after large-scale deforestation
Authors: Drüke Markus , Sakschewski Boris , von Bloh Werner , Billing Maik , Lucht Wolfgang , Thonicke Kirsten 
Published: July 2023

AbstractThe Amazon forest is regarded as a tipping element of the Earth system, susceptible to a regime change from tropical forest to savanna and grassland due to anthropogenic land use and climate change. Previous research highlighted the role of fire in amplifying irreversible large-scale Amazon die-back. However, large-scale feedback analyses which integrate the interplay of fire with climate and land-use change are currently lacking. To address this gap, here we applied the fire-enabled Potsdam Earth Model to examine these feedback mechanisms in the Amazon. By studying forest recovery after complete deforestation, we discovered that fire prevents regrowth across 56-82% of the potential natural forest area, contingent on atmospheric carbon dioxide levels. This emphasizes the significant contribution of fire to the irreversible transition, effectively locking the Amazon into a stable grassland state. Introducing fire dynamics into future assessments is vital for understanding climate and land-use impacts in the region.