bluuebunny/crossref_metadata_2025_split huggingface dataset:
Worldwide prevalence of human papillomavirus among pregnant women: A systematic review and meta‐analysis
Authors: Ardekani Ali , Sepidarkish Mahdi , Mollalo Abolfazl , Afradiasbagharani Parivash , Rouholamin Safoura , Rezaeinejad Mahroo , Farid‐Mojtahedi Maryam , Mahjour Sanaz , Almukhtar Mustafa , Nourollahpour Shiadeh Malihe , Rostami Ali 
Published: June 2022

AbstractHuman papillomavirus (HPV) is the causative agent of cervical cancer and a suspected agent for ovarian and endometrial cancers in women. It is associated with adverse outcomes during pregnancy. To date, there is no estimate of the prevalence of HPV infection in pregnant women at the regional and global levels. This study evaluated the global prevalence of HPV infection based on all observational studies that had reported the prevalence of HPV among pregnant women between January 1980 and December 2021 in PubMed/MEDLINE, Scopus, Web of Science, Embase, and SciELO databases. We utilised a random‐effect model to determine the global prevalence and related risk factors of HPV infection. Between‐studies heterogeneity was assessed using I2 statistic. Moreover, subgroup and meta‐regression analyses were employed to assess the source of heterogeneity and the relationship between HPV prevalence and socio‐demographic factors, respectively. Among 144 eligible studies comprising 189 datasets, the overall prevalence rates of HPV at the 95% confidence interval (CI) were estimated as 30.38% (26.88%–33.99%), 17.81% (9.81%–27.46%), 32.1% (25.09%–39.67%), 2.26% (0.1%–8.08%) and 25.5% (23.3%–27.8%) in cervico‐vaginal, placenta, serum, amniotic fluid and urine samples, respectively. The highest prevalence rates were estimated for countries in the African region, while countries in the European and Eastern Mediterranean regions showed the lowest prevalence rates. HPV‐16 and ‐18 were the most prevalent isolated strains. The pregnant women living with HIV and those with pregnancy disorders had significantly higher prevalence rates than general pregnant women (p < 0.05). The younger ages for first intercourse and pregnancy, multiple lifetime sexual partners, and lower education levels were primary risk factors for HPV infection. In conclusion, although the overall HPV prevalence varied markedly based on sampling sites and geographical locations, the highest prevalence rates were observed in less‐developed countries. Our findings imply that implementing behavioural and therapeutic interventions as well as vaccination programs are crucial to prevent and reduce the current burden of HPV infection among pregnant women.
Experimental evaluation of Visual‐Inertial Odometry systems for arable farming
Authors: Cremona Javier , Comelli Román , Pire Taihú 
Published: June 2022

AbstractThe farming industry constantly seeks the automation of different processes involved in agricultural production, such as sowing, harvesting and weed control. The use of mobile autonomous robots to perform those tasks is of great interest. Arable lands present hard challenges for Simultaneous Localization and Mapping (SLAM) systems, key for mobile robotics, given the visual difficulty due to the highly repetitive scene and the crop leaves movement caused by the wind. In recent years, several Visual‐Inertial Odometry (VIO) and SLAM systems have been developed. They have proved to be robust and capable of achieving high accuracy in indoor and outdoor urban environments. However, they were not properly assessed in agricultural fields. In this study we assess the most relevant state‐of‐the‐art VIO systems in terms of accuracy and processing time on arable lands to better understand how they behave on these environments. In particular, the evaluation is carried out on a collection of sensor data recorded by our wheeled robot in a soybean field, which was publicly released as the Rosario data set. The evaluation shows that the highly repetitive appearance of the environment, the strong vibration produced by the rough terrain and the movement of the leaves caused by the wind, expose the limitations of the current state‐of‐the‐art VIO and SLAM systems. We analyze the systems failures and highlight the observed drawbacks, including initialization failures, tracking loss and sensitivity to Inertial Measurement Unit saturation. Finally, we conclude that even though certain systems like ORB‐SLAM3 and stereo Multi‐State Constraint Kalman Filter show good results with respect to others, more improvements should be done to make them reliable in agricultural fields for certain applications such as soil tillage of crop rows and pesticide spraying.
Environmental sustainability in developing countries: Understanding the criticality of financial inclusion and globalization
Authors: Zhao Feng , Zhang Yinyin , Alharthi Majed , Zafar Muhammad Wasif 
Published: June 2022

AbstractEnvironmental challenges are mounting in the developing world, and mitigation activities, such as improved technology, green energy production, and research and development depend on significant funding from financial institutions. In this context, financial inclusivity can channelize investments towards green energy adoption and technological upgrading. On the flip side, the absence of environmental preferences may lead financial institutions to strengthen pollution‐intensive projects and inefficient production patterns. Thus, this study used the panel quantile regression method to unfold the impacts of financial inclusion (FI) and globalization on CO2 controlling foreign direct investment (FDI), energy prices, and economic growth. The results established that FI boosts pollutant emissions in developing countries, and globalization also mounts environmental deterioration. However, energy prices and FDI contribute to mitigating CO2 in developing nations. Moreover, the Environmental Kuznets Curve is evidenced in the panel of developing nations. As an alternative technique, Driscoll–Kraay regression method validated the consistency of the results. Considering the findings of this study, several policy suggestions are discussed to enhance environmental quality.
Evaluation of Silicon Carbide Nanoparticles as an Additive to Minimize Surfactant Loss during Chemical Flooding
Authors: Pandey Anurag , Roy Vishnu , Kesarwani Himanshu , Sharma Shivanjali , Saxena Amit 
Published: June 2022

AbstractSurfactant flooding is a prolific enhanced oil recovery technique. It alters the rock fluid interfacial interactions between reservoir fluids and rocks. However, a pair of impeding factors often limit the economic viability of the process and need to be optimized. The first is the surfactant loss on the adsorbent surface due to adsorption making it a potential environmental problem. The second is the Critical Micelle Concentration (CMC) which governs the amount of surfactant pumped. This study aimed to minimize the surfactant loss and the CMC, thereby optimizing the flooding efficiency and reducing the environmental concerns for nanoparticle applications. To achieve this, Silicon Carbide nanoparticles (SCN) were employed as additives to the surfactant solution. It was observed that the use of SCN reduces the surfactant adsorption by as much as 44 % and the critical micelle concentration by 14 %. The studies also observed that the concentration of SCN required to get these results is dramatically (more than 25 times) lower than previously reported literature on other nanoparticles. To adsorption isotherm studies provide an insight into the type of adsorption taking place. The adsorption isotherm follows the Langmuir model.
Built‐In Stable Lithiophilic Sites in 3D Current Collectors for Dendrite Free Li Metal Electrode
Authors: Wang Jiang‐Peng , Lan Dan‐Ni , Chen Guo‐Yin , Hu Xi‐Tao , Lin Chao , Li Quan 
Published: June 2022

AbstractStable lithiophilic sites in 3D current collectors are the key to guiding the uniform Li deposition and thus suppressing the Li dendrite growth, but such sites created by the conventional surface decoration method are easy to be consumed along with cycling. In this work, carbon fiber (CF)‐based 3D porous networks with built‐in lithiophilic sites that are stable upon cycling are demonstrated. Such heterostructured architecture is constructed by the introduction of zeolitic imidazolate framework‐8‐based nanoparticles during the formation of the 3D fibrous carbonaceous network and the following annealing. The introduced Zn species are found to be re‐distributed along the entire individual CF in the 3D network, and function as lithiophilic sites that favor the homogenous lithium nucleation and growth. The 3D network also presents a multi‐scale porous structure that improves the space utilization of the host. The corresponding symmetric cells adopting such 3D anode demonstrate excellent cycling performance, especially at a high rate (300 cycles at 10 mA cm−2 with a capacity of 5 mA h cm−2). A full cell with LiFePO4 cathode shows a capacity retention of 98% after cycling at 1C for 300 cycles. This method provides an effective design strategy for 3D hosting electrodes in dendrite‐free alkali metal anode applications.
Crystal Nucleation and Growth of Inorganic Ionic Materials from Aqueous Solution: Selected Recent Developments, and Implications
Authors: Gebauer Denis , Gale Julian D. , Cölfen Helmut 
Published: June 2022

AbstractIn this review article, selected, latest theoretical, and experimental developments in the field of nucleation and crystal growth of inorganic materials from aqueous solution are highlighted, with a focus on literature after 2015 and on non‐classical pathways. A key point is to emphasize the so far underappreciated role of water and solvent entropy in crystallization at all stages from solution speciation through to the final crystal. While drawing on examples from current inorganic materials where non‐classical behavior has been proposed, the potential of these approaches to be adapted to a wide‐range of systems is also discussed, while considering the broader implications of the current re‐assessment of pathways for crystallization. Various techniques that are suitable for the exploration of crystallization pathways in aqueous solution, from nucleation to crystal growth are summarized, and a flow chart for the assignment of specific theories based on experimental observations is proposed.
Elucidation of Metal Local Environments in Single‐Atom Catalysts Based on Carbon Nitrides
Authors: Büchele Simon , Yakimov Alexander , Collins Sean M. , Ruiz‐Ferrando Andrea , Chen Zupeng , Willinger Elena , Kepaptsoglou Demie M. , Ramasse Quentin M. , Müller Christoph R. , Safonova Olga V. , López Núria , Copéret Christophe , Pérez‐Ramírez Javier , Mitchell Sharon 
Published: June 2022

AbstractThe ability to tailor the properties of metal centers in single‐atom heterogeneous catalysts depends on the availability of advanced approaches for characterization of their structure. Except for specific host materials with well‐defined metal adsorption sites, determining the local atomic environment remains a crucial challenge, often relying heavily on simulations. This article reports an advanced analysis of platinum atoms stabilized on poly(triazine imide), a nanocrystalline form of carbon nitride. The approach discriminates the distribution of surface coordination sites in the host, the evolution of metal coordination at different stages during the synthesis of the material, and the potential locations of metal atoms within the lattice. Consistent with density functional theory predictions, simultaneous high‐resolution imaging in high‐angle annular dark field and bright field modes experimentally confirms the preferred localization of platinum in‐plane in the corners of the triangular cavities. X‐ray absorption spectroscopy (XAS), X‐ray photoelectron spectroscopy (XPS), and dynamic nuclear polarization enhanced 15N nuclear magnetic resonance (DNP‐NMR) spectroscopies coupled with density functional theory (DFT) simulations reveal that the predominant metal species comprise Pt(II) bound to three nitrogen atoms and one chlorine atom inside the coordination sites. The findings, which narrow the gap between experimental and theoretical elucidation, contribute to the improved structural understanding and provide a benchmark for exploring the speciation of single‐atom catalysts based on carbon nitrides.
Horizontally Self‐Standing Growth of Bi2O2Se Achieving Optimal Optoelectric Properties
Authors: Zou Xiaobin , Sun Yong , Wang Chengxin 
Published: June 2022

AbstractAir‐stable 2D Bi2O2Se material with high carrier mobility appears as a promising semiconductor platform for future micro/nanoelectronics and optoelectronics. Like most 2D materials, Bi2O2Se 2D nanostructures normally form on atomically flat mica substrates, in which undesirable defects and structural damage from the subsequent transfer process will largely degrade their photoelectronic performance. Here, a new synthesis route involving successive kinetic and thermodynamic processes is proposed to achieve horizontally self‐standing Bi2O2Se nanostructures on SiO2/Si substrates. Fewer defects and avoidance of transfer procedure involving corrosive solvents ensure the integrity of the intrinsic lattice and band structures in Bi2O2Se nanostructures. In contrast to flat structures grown on mica, it displays reduced dark current and improved photoresponse performance (on–off ratio, photoresponsivity, response time, and detectivity). These results indicate a new potential in high‐quality 2D electronic nanostructures with optimal optoelectronic functionality.
Monitoring critically saturated conditions for shallow landslide occurrence using electrical resistivity tomography
Authors: Wicki Adrian , Hauck Christian 
Published: June 2022

AbstractSoil wetness is an important property in determining the variable disposition of hillslopes to shallow landslides. Recent studies have demonstrated the potential of in situ soil wetness information for landslide early warning. However, the spatial representativeness of in situ sensors may be affected by local heterogeneities of soil properties and hydrological processes, and their installation may be destructive. Electrical resistivity tomography (ERT) has been used in the past to estimate plot‐scale soil moisture variation and may overcome these limitations. In this study, we installed and operated an automated ERT monitoring system on a landslide‐prone hillslope in the Napf region (Switzerland). The system was operational during a period of 9 mo, and measurements were conducted at high temporal resolution and under different soil hydrological conditions. Electrical resistivity was measured along two perpendicular profile lines in Wenner–Schlumberger configuration at 0.25‐m electrode spacing. Soil saturation was calculated by the Archie's law and the parameters were fitted with colocated soil moisture sensors. Comparison of ERT‐derived soil moisture with soil wetness from in situ sensors showed a good correlation, and infiltration properties critical for landslide early warning could be reliably reproduced. Further, analysis of spatial saturation variation revealed that ERT was capable to detect heterogeneities of soil hydrological process. Under highly saturated conditions, the reliability of the saturation estimation was affected by an increased number of faulty measurements and the spatial heterogeneity of the infiltration process.
A two-component dark matter model and its associated gravitational waves
Authors: Costa Francesco , Khan Sarif , Kim Jinsu 
Published: June 2022

Abstract
We consider an extension of the Standard Model that accounts for the muon g − 2 tension and neutrino masses and study in detail dark matter phenomenology. The model under consideration includes a WIMP and a FIMP scalar dark matter candidates and thus gives rise to two-component dark matter scenarios. We discuss different regimes and mechanisms of production, including the novel freeze-in semi-production, and show that the WIMP and FIMP together compose the observed relic density today. The presence of the extra scalar fields allows phase transitions of the first order. We examine the evolution of the vacuum state and discuss stochastic gravitational wave signals associated with the first-order phase transition. We show that the gravitational wave signals may be probed by future gravitational wave experiments which may serve as a complementary detection signal.
Holographic QCD3 and Chern-Simons theory from anisotropic supergravity
Authors: Li Si-wen , Luo Sen-kai , Hu Ya-qian 
Published: June 2022

Abstract
Based on the gauge-gravity duality, we study the three-dimensional QCD (QCD3) and Chern-Simons theory by constructing the anisotropic black D3-brane solution in IIB supergravity. The deformed bulk geometry is obtained by performing a double Wick rotation and dimension reduction which becomes an anisotropic bubble configuration exhibiting confinement in the dual theory. And its anisotropy also reduces to a Chern-Simons term due to the presence of the dissolved D7-branes or the axion field in bulk. Using the bubble geometry, we investigate the ground-state energy density, quark potential, entanglement entropy and the baryon vertex according to the standard methods in the AdS/CFT dictionary. Our calculation shows that the ground-state energy illustrates degenerate to the Chern-Simons coupling coefficient which is in agreement with the properties of the gauge Chern-Simons theory. The behavior of the quark tension, entanglement entropy and the embedding of the baryon vertex further implies strong anisotropy may destroy the confinement. Afterwards, we additionally introduce various D7-branes as flavor and Chern-Simons branes to include the fundamental matter and effective Chern-Simons level in the dual theory. By counting their orientation, we finally obtain the associated topological phase in the dual theory and the critical mass for the phase transition. Interestingly the formula of the critical mass reveals the flavor symmetry, which may relate to the chiral symmetry, would be restored if the anisotropy increases greatly. As all of the analysis is consistent with characteristics of quark-gluon plasma, we therefore believe our framework provides a remarkable way to understand the features of Chern-Simons theory, the strong coupled nuclear matter and its deconfinement condition with anisotropy.
The analytic structure of the fixed charge expansion
Authors: Antipin Oleg , Bersini Jahmall , Sannino Francesco , Torres Matías 
Published: June 2022

Abstract
We investigate the analytic properties of the fixed charge expansion for a number of conformal field theories in different space-time dimensions. The models investigated here are O(N) and QED3. We show that in d = 3 − ϵ dimensions the contribution to the O(N) fixed charge Q conformal dimensions obtained in the double scaling limit of large charge and vanishing ϵ is non-Borel summable, doubly factorial divergent, and with order $$ \sqrt{Q} $$

Q

optimal truncation order. By using resurgence techniques we show that the singularities in the Borel plane are related to worldline instantons that were discovered in the other double scaling limit of large Q and N of ref. [1]. In d = 4 − ϵ dimensions the story changes since in the same large Q and small E regime the next order corrections to the scaling dimensions lead to a convergent series. The resummed series displays a new branch cut singularity which is relevant for the stability of the O(N) large charge sector for negative ϵ. Although the QED3 model shares the same large charge behaviour of the O(N) model, we discover that at leading order in the large number of matter field expansion the large charge scaling dimensions are Borel summable, single factorial divergent, and with order Q optimal truncation order.
Physics of infinite complex structure limits in eight dimensions
Authors: Lee Seung-Joo , Lerche Wolfgang , Weigand Timo 
Published: June 2022

Abstract
We investigate infinite distance limits in the complex structure moduli space of F-theory compactified on K3 to eight dimensions. While this is among the simplest possible arenas to test ideas about the Swampland Distance Conjecture, it is nevertheless non-trivial enough to improve our understanding of the physics for these limiting geometries, including phenomena of emergence. It also provides a perspective on infinite distance limits from the viewpoint of open strings. The paper has two quite independent themes. In the main part we show that all degenerations of elliptic K3 surfaces at infinite distance as analysed in the companion paper [1] can be interpreted as (partial) decompactification or emergent string limits in F-theory, in agreement with the Emergent String Conjecture. We present a unified geometric picture of the possible towers of states that can become light and illustrate our general claims via the connection between Kulikov models of degenerating K3 surfaces and the dual heterotic string. As an application we classify the possible maximal non-abelian Lie algebras and their Kac-Moody and loop extensions that can arise in the infinite distance limits. In the second part we discuss the infinite distance behaviour of certain exact quartic gauge couplings. We encounter a tension with the hypothesis that effective couplings should be fully generated by integrating out massive states. We show that by appropriately renormalizing the string coupling, at least partial emergence can be achieved.
The $$ \mathcal{N} $$ = 2 prepotential and the sphere free energy
Authors: Zan Bernardo , Freedman Daniel Z. , Pufu Silviu S. 
Published: June 2022

Abstract
We study the mass-deformed sphere free energy of three-dimensional $$ \mathcal{N} $$
N
= 2 superconformal field theories with holographic duals. Building on previous observations, we conjecture a proportionality relation between the sphere free energy on the boundary and the prepotential of the four-dimensional $$ \mathcal{N} $$
N
= 2 supergravity theory in the bulk. We verify this formula by explicit computation in several examples of supergravity theories with vector multiplets and hypermultiplets.
Fairness & friends in the data science era
Authors: Catania Barbara , Guerrini Giovanna , Accinelli Chiara 
Published: June 2022

AbstractThe data science era is characterized by data-driven automated decision systems (ADS) enabling, through data analytics and machine learning, automated decisions in many contexts, deeply impacting our lives. As such, their downsides and potential risks are becoming more and more evident: technical solutions, alone, are not sufficient and an interdisciplinary approach is needed. Consequently, ADS should evolve into data-informed ADS, which take humans in the loop in all the data processing steps. Data-informed ADS should deal with data responsibly, guaranteeing nondiscrimination with respect to protected groups of individuals. Nondiscrimination can be characterized in terms of different types of properties, like fairness and diversity. While fairness, i.e., absence of bias against minorities, has been widely investigated in machine learning, only more recently this issue has been tackled by considering all the steps of data processing pipelines at the basis of ADS, from data acquisition to analysis. Additionally, fairness is just one point of view of nondiscrimination to be considered for guaranteeing equity: other issues, like diversity, are raising interest from the scientific community due to their relevance in society. This paper aims at critically surveying how nondiscrimination has been investigated in the context of complex data science pipelines at the basis of data-informed ADS, by focusing on the specific data processing tasks for which nondiscrimination solutions have been proposed.