bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differential plant response to toxins and elicitor proteins released by the potato and tomato pathogens Alternaria solani and Alternaria alternata
Authors: Jones Richard W. , Perez Frances 
Published: December 2022

Abstract
Early blight of potato and tomato, caused principally by Alternaria solani, results in extensive damage to foliar tissues. Symptoms are seen as expanding necrotic lesions. Lesions are sometimes surrounded by a halo of chlorotic tissue, however the basis for presence or absence of the distinctive halo have not been determined. To dissect the basis for lesion development a series of Alternaria-associated toxins and potential elicitor proteins were tested in potato and tobacco. Infiltration of leaves demonstrated that, while most of the pure toxins did not have a visible effect, two anthraquinones, bostrycin and altersolanon A, elicited a strong necrosis-mediated response. Extracts of solid and liquid cultures of A. solani yielded anthraquinones that also elicited a necrotic response. Two potential elicitor proteins were identified and cloned from the potato brown spot and early blight pathogens Alternaria alternata and A. solani, respectively. Agrobacterium-mediated infiltration and expression of the A. alternata xyloglucanase cel12-A and A. solani Hrip1 revealed that cel12-A had no apparent effect, whereas Hrip1 induced expanding tissue death and development of chlorotic halos. Development of chlorotic halos was dependent on leaf age, with older leaves exhibiting halos. It is proposed that specific toxin and elicitor production, in conjunction with tissue susceptibility mediate the outcomes of early blight symptoms.
Association of Coenzyme Q10 with Premature Ovarian Insufficiency
Authors: Ma Linjuan , Li Xiaojun , Li Chunming , Chen Peiqiong , Lan Yibing , Huang Yizhou , Xu Wenxian , Zhou Jianhong 
Published: December 2022

AbstractThe aim of the study was to analyze the relationship between levels of coenzyme Q10 (CoQ10) and the risk of premature ovarian insufficiency (POI). In this cross-sectional case–control study, 32 women with POI and 58 women with normal menstrual cycles were recruited. The serum levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), anti-Müllerian hormone (AMH), CoQ10 and total cholesterol were measured. The association of CoQ10 with POI was assessed using binary logistic regression analysis. The CoQ10/total cholesterol ratio was significantly lower in the women with POI than in the women with normal menstrual cycles (120.94 ± 25.35 nmol/mmol vs 138.97 ± 39.19 nmol/mmol, P = 0.021). The serum CoQ10/total cholesterol ratio was inversely associated with POI (the unadjusted odds ratio (OR) = 0.984, 95% CI: 0.970–0.998, P = 0.027). The same trend was found after adjusting for confounding factors (such as age, body mass index, annual household income and education) (OR = 0.976, 95% CI: 0.956–0.996, P = 0.020). The serum CoQ10/total cholesterol ratio was inversely associated with POI, indicating that antioxidant deficiency may be a risk associated with the development of POI. CoQ10 may be a protective factor for ovarian tissue.
Ultrasound detection using a thermal-assisted microcavity Raman laser
Authors: Meng Jia-Wei , Zhang Pei-Ji , Tang Shui-Jing , Xiao Yun-Feng 
Published: December 2022

AbstractOptical microcavities have emerged as promising platforms for ultrasound detection. One of the main tendencies in recent studies is to develop high-Q microresonators for ultrasensitive ultrasound detection, while the nonlinear optical effects become significant but are generally neglected. Here, we propose a thermal-assisted microcavity Raman laser for ultrasound detection. Acoustic waves modulate the resonant frequency of the cavity mode, altering the coupled efficiency of a fixed-wavelength input laser, and therefore the output Raman power. Experimentally, the noise equivalent pressure reaches as low as 8.1 Pa at 120 kHz in air. Besides, it is found that the thermal effect involved in high-Q microcavities can compensate for the low-frequency noises, while without degrading their sensitivity to high-frequency acoustic waves above hundreds of kilohertz. Therefore, it enables long-standing stability during the measurements due to the natural resistance to laser frequency drifts and environmental disturbances, which holds great potential in practical applications of ultrasound sensing and imaging.
Spin-orbital-angular-momentum-coupled quantum gases
Authors: Peng Shi-Guo , Jiang Kaijun , Chen Xiao-Long , Chen Ke-Ji , Zou Peng , He Lianyi 
Published: December 2022

AbstractWe briefly review the recent progress of theories and experiments on spin-orbital-angular-momentum (SOAM)-coupled quantum gases. The coupling between the intrinsic degree of freedom of particles and their external orbital motions widely exists in the universe and leads to a broad variety of fundamental phenomena in both classical physics and quantum mechanics. The recent realization of synthetic SOAM coupling in cold atoms has attracted a great deal of attention and stimulated a large amount of considerations on exotic quantum phases in both Bose and Fermi gases. In this review, we present a basic idea of engineering SOAM coupling in neutral atoms, starting from a semiclassical description of atom-light interaction. Unique features of single-particle physics in the presence of SOAM coupling are discussed. The intriguing ground-state quantum phases of weakly interacting Bose gases are introduced, with emphasis on a so-called angular stripe phase, which has not yet been observed at present. It is demonstrated how to generate a stable giant vortex in a SOAM-coupled Fermi superfluid. We also discuss the topological characters of a Fermi superfluid in the presence of SOAM coupling. We then introduce the experimental achievement of SOAM coupling in $$^{87}$$

87

Rb Bose gases and its first observation of phase transitions. The most recent development of SOAM-coupled Bose gases in experiments is also summarized. Regarding the controllability of ultracold quantum gases, it opens a new era, from the quantum simulation point of view, to study the fundamental physics resulting from SOAM coupling as well as newly emergent quantum phases.
Analysis of the X(3960) and related tetraquark molecular states via the QCD sum rules
Authors: Xin Qi , Wang Zhi-Gang , Yang Xiao-Song 
Published: December 2022

AbstractIn this work, we study the $$D\bar{D}$$

D

D

¯

, DD, $$D\bar{D}_s$$

D

D

¯

s

, $$DD_s$$

D

D
s

, $$D_s\bar{D}_s$$

D
s

D

¯

s

and $$D_sD_s$$

D
s

D
s

tetraquark molecular states with the $$J^{PC}=0^{++}$$

J

PC

=

0

+
+

via the QCD sum rules. The prediction $$M_{D_s\bar{D}_s} = 3.98\pm 0.10\, \text {GeV}$$

M

D
s

D

¯

s

=
3.98
±
0.10

GeV

is in very good agreement with the experimental value $$M_{X(3960)} = 3956 \pm 5\pm 10 \,\text {MeV}$$

M

X
(
3960
)

=
3956
±
5
±
10

MeV

from the LHCb collaboration and supports assigning the X(3960) as the $$D_s^+D_s^-$$

D
s
+

D
s
-

molecular state with the $$J^{PC}=0^{++}$$

J

PC

=

0

+
+

. We take account of our previous works on the four-quark states consisting of two color-neutral clusters and acquire the mass spectrum of the ground state hidden-charm and doubly-charm tetraquark molecular states.
Using quantum computing to solve the maximal covering location problem
Authors: Giraldo-Quintero Alejandro , Lalinde-Pulido Juan G. , Duque Juan C. , Sierra-Sosa Daniel 
Published: December 2022

AbstractIn this article, we present the process and results of using quantum computing (QC) to solve the maximal covering location problem proposed by Church and ReVelle. With this contribution, we seek to lay the foundations for other urban and regional scientists to begin to consider quantum technologies. We obtained promising results, but it is clear that there is a need for more capable devices with more qubits and less susceptibility to electronic noise to solve instances that currently cannot be optimally solved by traditional solvers. We foresee that QC will be of common use in urban and regional science and its applications in the years to come.
A framework for evaluating security risk in system design
Authors: Wortman Paul A. , Chandy John A. 
Published: December 2022

AbstractDesign and development of ubiquitous computer network systems has become increasingly difficult as technology continues to grow. From the introduction of new technologies to the discovery of existing threats, weaknesses, and vulnerabilities there is a constantly changing landscape of potential risks and rewards. The cyber security community, and industry at large, is learning to account for these increasing threats by including protections and mitigations from the beginning of the design V process. However, issues still come from limitations in time for thoroughly exploring a potential design space and the knowledge base required to easily account for potential vulnerabilities in each. To address this problem we propose the G-T-S framework, which is an automated tool that allows a user to provide a set of inputs relating to the desired design space and returns a monetary security risk evaluation of each. This methodology first generates a series of potential designs, then dissects their contents to associate possible vulnerabilities to device elements, and finally evaluates the security risk poised to a central asset of importance. We exemplify the tools, provide methodologies for required background research, and discuss the results in evaluating a series of IoT Home models using the GTS framework. Through implementation of our framework we simplify the information an individual will require to begin the design process, lower the bar for entry to perform evaluating security risk, and present the risk as an easily understood monetary metric.
Plant responses to UV-B radiation: signaling, acclimation and stress tolerance
Authors: Chen Zhiren , Dong Yuan , Huang Xi 
Published: December 2022

AbstractUltraviolet-B (UV-B) light is an intrinsic part of sunlight that reaches the earth’s surface, and affects plant survival and adaptation. How plants respond to UV-B light is regulated by the wavelength, intensity and duration of UV-B radiation, and is also regulated by photosynthetically active radiation perceived by phytochrome and cryptochrome photoreceptors. Non-damaging UV-B light promotes plant photomorphogenesis and UV-B acclimation which enhances plant tolerance against UV-B stress. However, high-level UV-B radiation induces DNA damage, generates reactive oxygen species (ROS) and impairs photosynthesis. Plants have evolved efficient mechanisms to utilize informational UV-B signal, and protect themselves from UV-B stress. UV RESISTANCE LOCUS8 (UVR8) is a conserved plant-specific UV-B photoreceptor. It interacts with CONSTITUTIVELY PHOTOMORPHOGENIC1 (COP1) to initiate UV-B-specific light signaling and regulate UV-B responsive gene expression. A set of transcription factors such as ELONGATED HYPOCOTYL5 (HY5) function downstream of the UVR8-COP1 module to promote seedling de-etiolation for photomorphogenic development and biosynthesis of sunscreen flavonoids for UV-B stress tolerance. In addition to UVR8 signaling pathways, plants subjected to damaging UV-B radiation initiate stress protection and repair mechanisms through UVR8-independent pathways. In this review, we summarize the emerging mechanisms underlying UV-B stress acclimation and protection in plants, primarily revealed in the model plant Arabidopsis thaliana.
Healthy Food Recommendation Using a Time-Aware Community Detection Approach and Reliability Measurement
Authors: Ahmadian Sajad , Rostami Mehrdad , Jalali Seyed Mohammad Jafar , Oussalah Mourad , Farrahi Vahid 
Published: December 2022

AbstractFood recommendation systems have been increasingly developed in online food services to make recommendations to users according to their previous diets. Although unhealthy diets may cause challenging diseases such as diabetes, cancer, and premature heart diseases, most of the developed food recommendation systems neglect considering health factors in their recommendation process. This emphasizes the importance of the reliability of the recommendation from the health content perspective. This paper proposes a new food recommendation system based on health-aware reliability measurement. In particular, we develop a time-aware community detection approach that groups users into disjoint sets and utilizes the identified communities as the nearest neighbors set in rating prediction. Then, a novel reliability measurement is introduced by considering both the health and accuracy criteria of predictions to evaluate the reliability of predicted ratings. Also, the unreliable predictions are recalculated by removing ineffective users from the nearest neighbors set. Finally, the recalculated predictions are utilized to generate a list of foods as recommendations. Different experiments on a crawled dataset demonstrate that the proposed method enhances the performance around 7.63%, 6.97%, 7.37%, 15.09%, and 16.17% based on precision, recall, F1, normalized discounted cumulative gain (NDCG), and health metrics, respectively, compared to the second-best model.
Geo-fence planning for dockless bike-sharing systems: a GIS-based multi-criteria decision analysis framework
Authors: Mangold Max , Zhao Pengxiang , Haitao He , Mansourian Ali 
Published: December 2022

AbstractThe inappropriate parking of free-floating shared bikes is a critical issue that needs to be addressed to realize the potential environmental, socioeconomic, and health benefits of this emerging green mode of transport. To address this challenge, this paper developes a Geographic Information Systems (GIS) based Multi-Criteria Decision Analysis (MCDA) framework for geo-fence planning of dockless bike-sharing systems based on openly accessible data. The Analytic Hierarchy Process (AHP) and the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) method are applied in the proposed framework to derive optimal geo-fence locations. The proposed framework is validated in a case study using a dataset of dockless bike-sharing trips from February 2020 in the City of Zurich and comparing the selected geo-fence locations with the existing bike-sharing stations. The assessment results show that the calculated geo-fence locations have a smaller average distance of 1395 m than that of 1692 m, and a larger demand coverage of 81% than that of 77% for bike-sharing stations. Overall, the proposed framework and the insights from the case study can help transport planners better implement shared micro-mobility hence facilitating the uptake of this sustainable mode of urban transport.
Convolutional Auto-Encoder and Independent Component Analysis Based Automatic Place Recognition for Moving Robot in Invariant Season Condition
Authors: Islam Md. Tariqul , Hasib Khan Md. , Rahman Md. Mahbubur , Tusher Abdur Nur , Alam Mohammad Shafiul , Islam Md. Rafiqul 
Published: December 2022

AbstractBuilding up a map is essential for mobile robots to localize their position and perfect autonomous navigation which is known as Simultaneous Localization and Mapping (SLAM). The map has become very important when the weather is inappropriate for the robot. However, the map becomes inconsistent when the robot moves in the environment and detects errors in its detection accuracy. The robot had difficulty identifying its previously visited path, which is called loop-closure detection when the climate changed immensely e.g. seasonal changes. The main goal of this work is to apply Independent Component Analysis (ICA) and Auto-Encoder (Convolutional Auto-Encoder and Fundamental Auto-Encoder) to understand the route through the robot. During the operation of robots across a wide range of environmental changing conditions, the ICA has auspicious potential to extract descriptors of condition-invariant images. On the other hand, Auto-Encoder has the capability to differentiate condition variant and condition invariant characteristics of a site and identify the most possible route for the robot. In order to complete this work perfectly, we used three seasonal datasets, they are Summer–Fall, Spring–Fall, and Summer–Spring datasets. This work uses the baseline method with a precision-recall curve and evaluates the performance of our proposed algorithm, especially the ICA algorithm. In short, the proposed algorithm ICA showed a 91.05% accuracy rate which is better than the baseline algorithm.
A retrospective review of antibiotic use for acute respiratory infections in urgent-care patients
Authors: Childers Richard C. , Bisanz Bryan , Vilke Gary M. , Brennan Jesse J. , Cronin Alexandrea O. , Castillo Edward M. 
Published: December 2022

Abstract

Objective:
We examined the use of antibiotics for acute respiratory infections in an urgent-care setting.

Design:
Retrospective database review.

Setting:
The study was conducted in 2 urgent-care clinics staffed by academic emergency physicians in San Diego, California.

Patients:
Visits for acute respiratory infections were identified based on presenting complaints.

Methods:
The primary outcome was a discharge prescription for an antibiotic. The patient and provider characteristics that predicted this outcome were analyzed using logistic regression. The variation in antibiotic prescriptions between providers was also analyzed.

Results:
In total, 15,160 visits were analyzed. The patient characteristics were not predictive of antibiotic treatment. Physicians were more likely than advanced practice practitioners to prescribe antibiotics (1.31; 95% confidence interval [CI], 1.21–1.42). For every year of seniority, a provider was 1.03 (95% CI, 1.02–1.03) more likely to prescribe an antibiotic. Although the providers saw similar patients, we detected significant variation in the antibiotic prescription rate between providers: the mean antibiotic prescription rate within the top quartile was 54.3% and the mean rate in the bottom quartile was 21.7%.

Conclusions:
The patient and provider characteristics we examined were either not predictive or were only weakly predictive of receiving an antibiotic prescription for acute respiratory infection. However, we detected a marked variation between providers in the rate of antibiotic prescription. Provider differences, not patient differences, drive variations in antibiotic prescriptions. Stewardship efforts may be more effective if directed at providers rather than patients.
A new Early Paleogene fossil mammal locality in the central-eastern Nemegt Basin, Gobi Desert, Mongolia, and notes on mammalian biostratigraphy
Authors: Yo Khand , Hoffman Eva A. , O'Leary Maureen A. , Novacek Michael J. 
Published: December 2022

AbstractWe report new, fossiliferous Paleogene Naran Bulak Formation localities from the central-eastern part of the Nemegt Basin of the Gobi Desert, Mongolia. Early Paleogene localities have been identified previously only in the western half of the Nemegt Basin. The new localities, near the town of Daus, are also noteworthy for their geographical proximity to Ukhaa Tolgod, a Late Cretaceous Djadokhta Formation locality known for its numerous dinosaur, mammal, and lizard fossils. The Daus section consists of the Zhigden, Naran, and Bumban members of the Naran Bulak Formation at three localities, and mammal and ostracode fossils were discovered in the Naran Member. Noteworthy discoveries are a dentary of the pantodont Archaeolambda cf. A. planicanina, postcrania of Pantolambdodon, a skull of the gliroid Gomphos, and a partial skull with a worn and damaged dentition provisionally identified as an arctostylopid. Biostratigraphy has been the primary means of dating Paleogene Asian faunas, however, the local fauna from the new localities does not fit easily with established patterns. The Naran Member and Archaeolambda planicanina and the arctostylopid Palaeostylops typically have been allied with the Gashatan Asian Land Mammal Age (ALMA) and attributed to the latest Paleocene. By contrast, Gomphos repeatedly has been found in the Bumban Member and assigned a Bumbanian ALMA, which has been considered as the earliest Eocene. Pantolambdodon has been reported from middle Eocene Arshatan and Irdinmanhan ALMA beds. The co-occurrence of these taxa in Naran Member beds complicates the temporal interpretation of the new localities and the reliability of broader biostratigraphic patterns.
Peripheral Interventions in Global History: Toward a History of Argentina outside of Argentina
Authors: Scarfi Juan Pablo , Ubelaker Andrade Lisa 
Published: December 2022

AbstractWhile global history’s emphasis on networks and its de-emphasis on the nation has brought about a fruitful platform for exploring interregional connections, this article argues that a global history recentered in the periphery and willing to draw from its rich national historiographies has the potential to reveal new forms of globalization and connection. It takes Argentina as an exemplary case to consider the ways in which tracing one nation’s many transnational and global orientations might bring to light motivations, geographical dimensions, and fields of power previously unseen.
Connections as Liabilities: The Cost of the Politics–Business Revolving Door in China
Authors: Li Zeren 
Published: December 2022

AbstractThe established literature has recognized revolving-door hiring as a means for firms to obtain protection against political risks and advance their business interests. This article theorizes about the cost of the revolving door between politics and business, which transmits uncertainty during turbulent times from the political system to firms. I empirically estimate the cost of revolving-door recruitment for over 3,000 publicly listed firms in the early years of a major corruption crackdown in China. I show that firm-level returns on revolving-door recruitment became negative during this period. In contrast to conventional corporate governance explanations, the mechanism proposed in this article emphasizes the external perceptions and financing of firms. Text analyses of over 1 million equity reports and bank-loan record data show that political connections act as a negative signal to external financiers, thereby discouraging external financing.
THE ACHILLES OF PROCLUS
Authors: Miles Graeme 
Published: December 2022

AbstractIn Essay Six of his Commentary on Plato's Republic, the Platonist Proclus offers a defence of the poetry of Homer and attempts to harmonize the Homeric epics, as inspired texts, with the philosophy of Plato as he interprets it. The tendency of late antique Platonists to turn to allegorical reading is well known, but in this instance Proclus interprets Achilles by other means. In particular, he is careful to place Achilles’ actions relative to what he sees as the correct position in the scale of virtues (at the level of the political virtues). In some further remarkable passages Proclus sees Achilles’ ritual activities as a kind of prefiguration of the theurgic practices embraced by the Platonic school of Proclus’ era.