bluuebunny/crossref_metadata_2025_split huggingface dataset:
High-fidelity photonic quantum logic gate based on near-optimal Rydberg single-photon source
Authors: Shi Shuai , Xu Biao , Zhang Kuan , Ye Gen-Sheng , Xiang De-Sheng , Liu Yubao , Wang Jingzhi , Su Daiqin , Li Lin 
Published: August 2022

AbstractCompared to other types of qubits, photon is one of a kind due to its unparalleled advantages in long-distance quantum information exchange. Therefore, photon is a natural candidate for building a large-scale, modular optical quantum computer operating at room temperature. However, low-fidelity two-photon quantum logic gates and their probabilistic nature result in a large resource overhead for fault tolerant quantum computation. While the probabilistic problem can, in principle, be solved by employing multiplexing and error correction, the fidelity of linear-optical quantum logic gate is limited by the imperfections of single photons. Here, we report the demonstration of a linear-optical quantum logic gate with truth table fidelity of 99.84(3)% and entangling gate fidelity of 99.69(4)% post-selected upon the detection of photons. The achieved high gate fidelities are made possible by our near-optimal Rydberg single-photon source. Our work paves the way for scalable photonic quantum applications based on near-optimal single-photon qubits and photon-photon gates.
The receptor kinase SRF3 coordinates iron-level and flagellin dependent defense and growth responses in plants
Authors: Platre Matthieu Pierre , Satbhai Santosh B. , Brent Lukas , Gleason Matias F. , Cao Min , Grison Magali , Glavier Marie , Zhang Ling , Gaillochet Christophe , Goeschl Christian , Giovannetti Marco , Enugutti Balaji , Neveu Julie , von Reth Marcel , Alcázar Ruben , Parker Jane E. , Vert Grégory , Bayer Emmanuelle , Busch Wolfgang 
Published: August 2022

AbstractIron is critical for host–pathogen interactions. While pathogens seek to scavenge iron to spread, the host aims at decreasing iron availability to reduce pathogen virulence. Thus, iron sensing and homeostasis are of particular importance to prevent host infection and part of nutritional immunity. While the link between iron homeostasis and immunity pathways is well established in plants, how iron levels are sensed and integrated with immune response pathways remains unknown. Here we report a receptor kinase SRF3, with a role in coordinating root growth, iron homeostasis and immunity pathways via regulation of callose synthases. These processes are modulated by iron levels and rely on SRF3 extracellular and kinase domains which tune its accumulation and partitioning at the cell surface. Mimicking bacterial elicitation with the flagellin peptide flg22 phenocopies SRF3 regulation upon low iron levels and subsequent SRF3-dependent responses. We propose that SRF3 is part of nutritional immunity responses involved in sensing external iron levels.
Efficient perpendicular magnetization switching by a magnetic spin Hall effect in a noncollinear antiferromagnet
Authors: Hu Shuai , Shao Ding-Fu , Yang Huanglin , Pan Chang , Fu Zhenxiao , Tang Meng , Yang Yumeng , Fan Weijia , Zhou Shiming , Tsymbal Evgeny Y. , Qiu Xuepeng 
Published: August 2022

AbstractCurrent induced spin-orbit torques driven by the conventional spin Hall effect are widely used to manipulate the magnetization. This approach, however, is nondeterministic and inefficient for the switching of magnets with perpendicular magnetic anisotropy that are demanded by the high-density magnetic storage and memory devices. Here, we demonstrate that this limitation can be overcome by exploiting a magnetic spin Hall effect in noncollinear antiferromagnets, such as Mn3Sn. The magnetic group symmetry of Mn3Sn allows generation of the out-of-plane spin current carrying spin polarization collinear to its direction induced by an in-plane charge current. This spin current drives an out-of-plane anti-damping torque providing the deterministic switching of the perpendicular magnetization of an adjacent Ni/Co multilayer. Due to being odd with respect to time reversal symmetry, the observed magnetic spin Hall effect and the resulting spin-orbit torque can be reversed with reversal of the antiferromagnetic order. Contrary to the conventional spin-orbit torque devices, the demonstrated magnetization switching does not need an external magnetic field and requires much lower current density which is useful for low-power spintronics.
Social capital I: measurement and associations with economic mobility
Authors: Chetty Raj , Jackson Matthew O. , Kuchler Theresa , Stroebel Johannes , Hendren Nathaniel , Fluegge Robert B. , Gong Sara , Gonzalez Federico , Grondin Armelle , Jacob Matthew , Johnston Drew , Koenen Martin , Laguna-Muggenburg Eduardo , Mudekereza Florian , Rutter Tom , Thor Nicolaj , Townsend Wilbur , Zhang Ruby , Bailey Mike , Barberá Pablo , Bhole Monica , Wernerfelt Nils 
Published: August 2022

AbstractSocial capital—the strength of an individual’s social network and community—has been identified as a potential determinant of outcomes ranging from education to health1–8. However, efforts to understand what types of social capital matter for these outcomes have been hindered by a lack of social network data. Here, in the first of a pair of papers9, we use data on 21 billion friendships from Facebook to study social capital. We measure and analyse three types of social capital by ZIP (postal) code in the United States: (1) connectedness between different types of people, such as those with low versus high socioeconomic status (SES); (2) social cohesion, such as the extent of cliques in friendship networks; and (3) civic engagement, such as rates of volunteering. These measures vary substantially across areas, but are not highly correlated with each other. We demonstrate the importance of distinguishing these forms of social capital by analysing their associations with economic mobility across areas. The share of high-SES friends among individuals with low SES—which we term economic connectedness—is among the strongest predictors of upward income mobility identified to date10,11. Other social capital measures are not strongly associated with economic mobility. If children with low-SES parents were to grow up in counties with economic connectedness comparable to that of the average child with high-SES parents, their incomes in adulthood would increase by 20% on average. Differences in economic connectedness can explain well-known relationships between upward income mobility and racial segregation, poverty rates, and inequality12–14. To support further research and policy interventions, we publicly release privacy-protected statistics on social capital by ZIP code at https://www.socialcapital.org.
Social capital II: determinants of economic connectedness
Authors: Chetty Raj , Jackson Matthew O. , Kuchler Theresa , Stroebel Johannes , Hendren Nathaniel , Fluegge Robert B. , Gong Sara , Gonzalez Federico , Grondin Armelle , Jacob Matthew , Johnston Drew , Koenen Martin , Laguna-Muggenburg Eduardo , Mudekereza Florian , Rutter Tom , Thor Nicolaj , Townsend Wilbur , Zhang Ruby , Bailey Mike , Barberá Pablo , Bhole Monica , Wernerfelt Nils 
Published: August 2022

AbstractLow levels of social interaction across class lines have generated widespread concern1–4 and are associated with worse outcomes, such as lower rates of upward income mobility4–7. Here we analyse the determinants of cross-class interaction using data from Facebook, building on the analysis in our companion paper7. We show that about half of the social disconnection across socioeconomic lines—measured as the difference in the share of high-socioeconomic status (SES) friends between people with low and high SES—is explained by differences in exposure to people with high SES in groups such as schools and religious organizations. The other half is explained by friending bias—the tendency for people with low SES to befriend people with high SES at lower rates even conditional on exposure. Friending bias is shaped by the structure of the groups in which people interact. For example, friending bias is higher in larger and more diverse groups and lower in religious organizations than in schools and workplaces. Distinguishing exposure from friending bias is helpful for identifying interventions to increase cross-SES friendships (economic connectedness). Using fluctuations in the share of students with high SES across high school cohorts, we show that increases in high-SES exposure lead low-SES people to form more friendships with high-SES people in schools that exhibit low levels of friending bias. Thus, socioeconomic integration can increase economic connectedness in communities in which friending bias is low. By contrast, when friending bias is high, increasing cross-SES interactions among existing members may be necessary to increase economic connectedness. To support such efforts, we release privacy-protected statistics on economic connectedness, exposure and friending bias for each ZIP (postal) code, high school and college in the United States at https://www.socialcapital.org.
Photoswitching fingerprint analysis bypasses the 10-nm resolution barrier
Authors: Helmerich Dominic A. , Beliu Gerti , Taban Danush , Meub Mara , Streit Marcel , Kuhlemann Alexander , Doose Sören , Sauer Markus 
Published: August 2022

AbstractAdvances in super-resolution microscopy have demonstrated single-molecule localization precisions of a few nanometers. However, translation of such high localization precisions into sub-10-nm spatial resolution in biological samples remains challenging. Here we show that resonance energy transfer between fluorophores separated by less than 10 nm results in accelerated fluorescence blinking and consequently lower localization probabilities impeding sub-10-nm fluorescence imaging. We demonstrate that time-resolved fluorescence detection in combination with photoswitching fingerprint analysis can be used to determine the number and distance even of spatially unresolvable fluorophores in the sub-10-nm range. In combination with genetic code expansion with unnatural amino acids and bioorthogonal click labeling with small fluorophores, photoswitching fingerprint analysis can be used advantageously to reveal information about the number of fluorophores present and their distances in the sub-10-nm range in cells.
A new fuzzy rule based multi-objective optimization method for cross-scale injection molding of protein electrophoresis microfluidic chips
Authors: Shan Zhiying , Wu Wangqing , Lei Yihua , Zhao Baishun 
Published: August 2022

AbstractInjection molding is one of the most promising technologies for the large-scale production and application of polymeric microfluidic chips. The multi-objective optimization of injection molding process for substrate and cover plate on protein electrophoresis microfluidic chip is performed to solve the problem that the forming precision is difficult to coordinate because of the cross-scale structure characteristics for chip in this paper. The innovation for this research is that an optimization approach and a detailed fuzzy rule determination method are proposed in multi-objective optimization for protein electrophoresis microfluidic chip. In more detail, firstly, according to the number and level of process parameters, the orthogonal experimental design is carried out. Then, the experiments are performed. Secondly, the grey relational analysis (GRA) approach is employed to process the response data to gain the grey relational coefficient (GRC). Thirdly, the grey fuzzy decision making method which combines triangular membership function and gaussian membership function is adopted to obtain the grey fuzzy grade (GFG). After that, the optimal scheme of process parameters was predicted by the grey fuzzy grade analysis. Finally, the superiority of Taguchi grey fuzzy decision making method are verified by comparing the results of original scheme, optimal scheme and prediction scheme. As a result, compared with the original design, the residual stress of substrate plate (RSS), residual stress of cover plate (RSC), warpage of substrate plate (WS), warpage of cover plate (WC) and replication fidelity of microchannel for substrate plate (RFM) on the prediction scheme for Taguchi grey fuzzy decision making method were reduced by 32.816%, 29.977%, 88.571%, 74.390% and 46.453%, respectively.
Clay and climatic variability explain the global potential distribution of Juniperus phoenicea toward restoration planning
Authors: Dakhil Mohammed A. , El-Barougy Reham F. , El-Keblawy Ali , Farahat Emad A. 
Published: August 2022

AbstractJuniperus phoenicea is a medicinal conifer tree species distributed mainly in the Mediterranean region, and it is IUCN Red Listed species, locally threatened due to arid conditions and seed over-collection for medicinal purposes, particularly in the East-Mediterranean region. Several studies have addressed the potential distribution of J. phoenicea using bioclimatic and topographic variables at a local or global scale, but little is known about the role of soil and human influences as potential drivers. Therefore, our objectives were to determine the most influential predictor factors and their relative importance that might be limiting the regeneration of J. phoenicea, in addition, identifying the most suitable areas which could be assumed as priority conservation areas. We used ensemble models for species distribution modelling. Our findings revealed that aridity, temperature seasonality, and clay content are the most important factors limiting the potential distribution of J. phoenicea. Potentially suitable areas of the output maps, in which J. phoenicea populations degraded, could be assumed as decision-support tool reforestation planning. Other suitable areas, where there was no previous tree cover are a promising tool for afforestation and conservation planning. Finally, conservation actions are needed for natural habitats, particularly in the arid and semi-arid regions, which are highly threatened by global warming.
An eight country cross-sectional study of the psychosocial effects of COVID-19 induced quarantine and/or isolation during the pandemic
Authors: Schluter Philip J. , Généreux Mélissa , Landaverde Elsa , Chan Emily Y. Y. , Hung Kevin K. C. , Law Ronald , Mok Catherine P. Y. , Murray Virginia , O’Sullivan Tracey , Qadar Zeeshan , Roy Mathieu 
Published: August 2022

AbstractForced quarantine and nationwide lockdowns have been a primary response by many jurisdictions in their attempt at COVID-19 elimination or containment, yet the associated mental health burden is not fully understood. Using an eight country cross-sectional design, this study investigates the association between COVID-19 induced quarantine and/or isolation on probable generalized anxiety disorder (GAD) and major depressive episode (MDE) psychological outcomes approximately eight months after the pandemic was declared. Overall, 9027 adults participated, and 2937 (32.5%) were indicated with GAD and/or MDE. Reported quarantine and/or isolation was common, with 1199 (13.8%) confined for travel or health requirements, 566 (6.5%) for being close contact, 720 (8.3%) for having COVID-19 symptoms, and 457 (5.3%) for being COVID-19 positive. Compared to those not quarantining or isolating, the adjusted estimated relative risks of GAD and/or MDE associated with quarantine and/or isolation was significant (p < 0.001), ranging from 1.24 (95% confidence interval [CI]: 1.07, 1.43) for travel/health to 1.37 (95% CI 1.19, 1.59) for COVID-19 symptom isolation reasons. While almost universally employed, quarantine and/or isolation is associated with a heavy mental health toll. Preventive strategies are needed, such as minimizing time-limits imposed and providing clear rationale and information, together with additional treatment and rehabilitation resources.
Evaluation of rapid transepithelial electrical resistance (TEER) measurement as a metric of kidney toxicity in a high-throughput microfluidic culture system
Authors: Shaughnessey Erin M. , Kann Samuel H. , Azizgolshani Hesham , Black Lauren D. , Charest Joseph L. , Vedula Else M. 
Published: August 2022

AbstractRapid non-invasive kidney-specific readouts are essential to maximizing the potential of microfluidic tissue culture platforms for drug-induced nephrotoxicity screening. Transepithelial electrical resistance (TEER) is a well-established technique, but it has yet to be evaluated as a metric of toxicity in a kidney proximal tubule (PT) model that recapitulates the high permeability of the native tissue and is also suitable for high-throughput screening. We utilized the PREDICT96 high-throughput microfluidic platform, which has rapid TEER measurement capability and multi-flow control, to evaluate the utility of TEER sensing for detecting cisplatin-induced toxicity in a human primary PT model under both mono- and co-culture conditions as well as two levels of fluid shear stress (FSS). Changes in TEER of PT-microvascular co-cultures followed a dose-dependent trend similar to that demonstrated by lactate dehydrogenase (LDH) cytotoxicity assays and were well-correlated with tight junction coverage after cisplatin exposure. Additionally, cisplatin-induced changes in TEER were detectable prior to increases in cell death in co-cultures. PT mono-cultures had a less differentiated phenotype and were not conducive to toxicity monitoring with TEER. The results of this study demonstrate that TEER has potential as a rapid, early, and label-free indicator of toxicity in microfluidic PT-microvascular co-culture models.
Cerebral hemodynamic response during the resuscitation period after hypoxic-ischemic insult predicts brain injury on day 5 after insult in newborn piglets
Authors: Nakao Yasuhiro , Nakamura Shinji , Htun Yinmon , Mitsuie Tsutomu , Koyano Kosuke , Ohta Kenichi , Konishi Yukihiko , Miki Takanori , Ueno Masaki , Kusaka Takashi 
Published: August 2022

AbstractPerinatal hypoxic-ischemic brain injury of neonates remains a significant problem worldwide. During the resuscitation period, changes in cerebral hemoglobin oxygen saturation (ScO2) have been identified by near-infrared spectroscopy (NIRS). However, in asphyxiated neonates, the relationship between these changes and brain injury is not known. Three-wavelength near-infrared time-resolved spectroscopy, an advanced technology for NIRS, allows for the estimation of ScO2 and cerebral blood volume (CBV). Here, we studied changes in ScO2 and CBV during the resuscitation period after hypoxic-ischemic insult and the relationship between these changes after insult and histopathological brain injuries on day 5 after insult using an asphyxiated piglet model. Of 36 newborn piglets subjected to hypoxic-ischemic insult, 29 were analyzed. ScO2 and CBV were measured 0, 5, 10, 15, and 30 min after the insult. Brain tissue was histologically evaluated on day 5. ScO2 and CBV increased immediately after the insult, reached a peak, and then maintained a consistent value. The increase in CBV 5 to 30 min after the insult was significantly correlated with histopathological injury scores. However, there was no correlation with ScO2. In conclusion, an increase in CBV within 30 min after hypoxic-ischemic insult reflects the histopathological brain injury on day 5 after insult in a piglet model.
The influence of self-cycling fermentation long- and short-cycle schemes on Saccharomyces cerevisiae and Escherichia coli
Authors: Tan Yusheng , Stein Lisa Y. , Sauvageau Dominic 
Published: August 2022

AbstractSelf-cycling fermentation (SCF), a cyclic process in which cells, on average, divide once per cycle, has been shown to lead to whole-culture synchronization and improvements in productivity during bioconversion. Previous studies have shown that the completion of synchronized cell replication sometimes occurs simultaneously with depletion of the limiting nutrient. However, cases in which the end of cell doubling occurred before limiting nutrient exhaustion were also observed. In order to better understand the impact of these patterns on bioprocessing, we investigated the growth of Saccharomyces cerevisiae and Escherichia coli in long- and short-cycle SCF strategies. Three characteristic events were identified during SCF cycles: (1) an optimum in control parameters, (2) the time of completion of synchronized cell division, and (3) the depletion or plateau of the limiting nutrient. Results from this study and literature led to the identification of three potential trends in SCF cycles: (A) co-occurrence of the three key events, (B) cell replication ending prior to the co-occurrence of the other two events, and (C) depletion or plateau of the limiting nutrient occurring later than the co-occurrence of the other two events. Based on these observations, microbial physiological differences were analyzed and a novel definition for SCF is proposed.
Elastic shell theory for plant cell wall stiffness reveals contributions of cell wall elasticity and turgor pressure in AFM measurement
Authors: Tsugawa Satoru , Yamasaki Yuki , Horiguchi Shota , Zhang Tianhao , Muto Takara , Nakaso Yosuke , Ito Kenshiro , Takebayashi Ryu , Okano Kazunori , Akita Eri , Yasukuni Ryohei , Demura Taku , Mimura Tetsuro , Kawaguchi Ken’ichi , Hosokawa Yoichiroh 
Published: August 2022

AbstractThe stiffness of a plant cell in response to an applied force is determined not only by the elasticity of the cell wall but also by turgor pressure and cell geometry, which affect the tension of the cell wall. Although stiffness has been investigated using atomic force microscopy (AFM) and Young’s modulus of the cell wall has occasionally been estimated using the contact-stress theory (Hertz theory), the existence of tension has made the study of stiffness more complex. Elastic shell theory has been proposed as an alternative method; however, the estimation of elasticity remains ambiguous. Here, we used finite element method simulations to verify the formula of the elastic shell theory for onion (Allium cepa) cells. We applied the formula and simulations to successfully quantify the turgor pressure and elasticity of a cell in the plane direction using the cell curvature and apparent stiffness measured by AFM. We conclude that tension resulting from turgor pressure regulates cell stiffness, which can be modified by a slight adjustment of turgor pressure in the order of 0.1 MPa. This theoretical analysis reveals a path for understanding forces inherent in plant cells.
Synthesis, and characterization of metallic glassy Cu–Zr–Ni powders decorated with big cube Zr2Ni nanoparticles for potential antibiofilm coating applications
Authors: Aldhameer Ahmad , El-Eskandarany M. Sherif , Banyan Mohmmad , Alajmi Fahad , Kishk Mohamed 
Published: August 2022

AbstractBiofilms, are significant component that contributes to the development of chronic infections, especially when medical devices are involved. This issue offers a huge challenge for the medical community since standard antibiotics are only capable of eradicating biofilms to a very limited degree. The prevention of biofilm formation have led to the development of a variety of coating methods and new materials. These methods are intended to coat surfaces in such a way as to inhibit the formation of biofilm. Metallic glassy alloys, in particular, alloys that include copper and titanium metals have gained popularity as desirable antibacterial coating. Meanwhile, there has been a rise in the use of the cold spray coating technique due to the fact that it is a proper approach for processing temperature-sensitive materials. The present study was carried out in part with the intention of developing a new antibiofilm metallic glassy consisting of ternary Cu–Zr–Ni using mechanical alloying technique. The spherical powders that comprised the end-product were utilized as feedstock materials for cold spray coatings to stainless steel surfaces at low temperature. When compared to stainless steel, substrates coated with metallic glassy were able to significantly reduce the formation of biofilm by at least one log.